Abstract
The gut microbiota is recognized as important to maternal and child health through associations with immune maturation, metabolic programming, barrier integrity, and early-life disease susceptibility. Indigenous food systems, fermented foods, probiotics, and postbiotics may influence gut microbial communities and functions, suggesting potential avenues for investigation into nutritional resilience, particularly in low-resource settings. This review synthesizes evidence on microbiome-informed maternal and child nutrition, focusing on indigenous foods, fermented foods, probiotics, postbiotics, and microbiome-mediated mechanisms. Literature was searched in PubMed, Scopus, Web of Science, ScienceDirect, and Google Scholar for studies, systematic reviews, and meta-analyses published between 2015 and 2025. Evidence indicates that microbiome-directed nutritional interventions may influence microbial metabolites, particularly short-chain fatty acids, and pathways associated with barrier integrity, immune regulation, and cellular signaling, including adenosine monophosphate-activated protein kinase (AMPK), mechanistic target of rapamycin (mTOR), mitogen-activated protein kinase (MAPK), nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), toll-like receptor (TLR), and peroxisome proliferator-activated receptor (PPAR). Artificial intelligence, multi-omics, and precision nutrition may support the investigation and future development of more targeted approaches. However, gaps remain regarding population-specific microbiome profiles, standardized probiotic and postbiotic formulations, longitudinal maternal–infant relationships, and evidence from African and other low-resource settings. The Microbiome-Informed Nutrition Framework (MINF) is proposed as a hypothesis-generating model integrating indigenous food systems, microbiome-directed interventions, precision nutrition, and community-based primary healthcare as potential areas for future research, rather than established clinical or public health interventions.
1. Introduction
1.1. Maternal and Child Nutrition and the Microbiome
Maternal and child malnutrition remains a major global public health challenge, contributing to maternal, neonatal, and under-five morbidity and mortality [1,2]. The burden includes undernutrition, micronutrient deficiencies, overweight, obesity, and diet-related metabolic disorders, particularly in low- and middle-income countries [3,4]. Conversely, excessive energy intake, particularly when dominated by energy-dense but nutrient-poor foods, may contribute to excessive gestational weight gain, maternal obesity, gestational metabolic disorders, and adverse pregnancy outcomes [5]. Maternal nutrition before conception, during pregnancy, and throughout lactation influences fetal growth and early-life development, while the first 1000 days represent a critical period for growth, immune maturation, and neurodevelopment [6,7]. Increasing evidence indicates that nutritional outcomes are influenced not only by dietary intake but also by interactions among diet, the gut microbiota, host metabolism, and immune function [8]. The gut microbiota contributes to nutrient metabolism, immune development, epithelial integrity, and resistance to pathogens [9,10]. Early microbial colonization is influenced by maternal microbiota, delivery mode, breastfeeding, antibiotic exposure, environment, and complementary feeding [11]. Microbial fermentation of dietary fibres and resistant starches produces metabolites such as short-chain fatty acids (SCFAs), which contribute to epithelial barrier integrity, immune regulation, and metabolic homeostasis [12,13]. Microbiome alterations have been associated with several maternal and childhood disorders, although causal relationships remain unresolved for some conditions [14]. Diet is also an important modulator of microbial composition and function [15,16]. These interactions provide the biological rationale for microbiome-informed maternal and child nutrition research, while their clinical and public health implications remain an emerging area of investigation.
1.2. Indigenous African Food Systems and the Evidence Gap
Growing evidence has increased interest in fermented foods, probiotics, postbiotics, and fibre-rich diets as potential microbiome-modulating strategies [17,18]. However, findings remain heterogeneous across strains, interventions, populations, and methodologies. Indigenous African food systems represent an under-investigated reservoir of dietary diversity, fermentation-associated microorganisms, bioactive compounds, and culturally embedded nutritional practices that may be relevant to microbiome–host interactions. Traditional foods and fermented products may provide fibre, resistant starches, bioactive compounds, and beneficial microorganisms [19]. However, evidence directly linking these food systems with maternal and child microbiome outcomes remains limited and heterogeneous. African populations are also underrepresented in microbiome research despite their diverse diets and substantial burden of maternal and child malnutrition [20]. This evidence gap strengthens the need for context-specific research examining indigenous foods and microbiome–nutrition interactions in African populations and for determining whether such foods could plausibly inform future nutrition interventions.
1.3. Evidence Gaps and Rationale for the Review
Important limitations remain in microbiome-informed nutrition research. Much evidence is observational and therefore provides limited evidence of causality [21]. Studies also frequently emphasize microbial composition rather than microbial function, with relatively fewer integrating multi-omics approaches [22]. Geographical and methodological disparities further limit generalizability and comparability [23]. Previous reviews have commonly focused on individual interventions, diseases, or microbial characteristics, with less integration of indigenous food systems, fermented foods, probiotics, postbiotics, microbial metabolites, mechanisms, and public health applications [24,25]. This review addresses this gap by integrating mechanistic, nutritional, microbiological, and public health evidence, with particular attention to indigenous African food systems and resource-constrained settings while distinguishing evidence-supported implications from proposed or hypothesis-generating applications.
1.4. Scope of the Review
This review synthesizes evidence on maternal–infant microbiome development, diet–microbiome interactions, indigenous food systems, traditional fermented foods, probiotics, postbiotics, microbial metabolites, and host–microbiome mechanisms. The review aims to critically examine how interactions among diet, the gut microbiota, microbial metabolites, and host responses may influence maternal and child health and to evaluate their potential translation into culturally appropriate nutrition and public health strategies as areas for future research rather than established implementation approaches. Importantly, the review distinguishes established evidence from emerging and hypothesis-generating applications. The MINF proposed later is therefore presented as a conceptual framework rather than a clinically validated model.
2. Methodology
2.1. Review Design and Scope
This study was conducted as a structured narrative review and purposive narrative evidence map of the literature on microbiome-informed maternal and child nutrition, with particular emphasis on indigenous African foods, fermented foods, probiotics, postbiotics, microbial metabolites, and their potential relevance to maternal and early-life health. A structured narrative approach was adopted because the review encompasses evidence from diverse populations, study designs, food systems, microbiological investigations, mechanistic studies, and emerging translational applications that cannot be adequately synthesized using a single intervention-based framework. The review was designed to provide a transparent, thematically organized synthesis and mapping of relevant evidence rather than to undertake a systematic or scoping review.
2.2. Literature Search Strategy
A comprehensive literature search was conducted in PubMed, Scopus, Web of Science, ScienceDirect, and Google Scholar, selected for their coverage of biomedical, nutritional, microbiological, food-science, and molecular research. The search focused primarily on publications from January 2015 to December 2025, with the final search conducted in June 2026. Search strategies combined controlled vocabulary, including Medical Subject Headings (MeSH) where applicable, and free-text terms using the Boolean operators AND and OR. Major search concepts included microbiome AND maternal nutrition, microbiome AND pregnancy, infant microbiome AND nutrition, indigenous African foods AND microbiome, fermented foods AND maternal nutrition, probiotics AND pregnancy, and postbiotics AND maternal-child health. Additional keywords included maternal–infant axis, dysbiosis, short-chain fatty acids, nutritional resilience, functional metabolites, immune homeostasis, precision nutrition, and early-life programming. Search terms were adapted to the indexing requirements of individual databases. Reference lists of relevant publications were also manually screened to identify additional literature. The search strategy was intended to identify a broad and relevant evidence base for purposive thematic mapping, rather than to establish an exhaustive systematic-review dataset.
2.3. Eligibility Criteria
Publications were considered for inclusion when they were published in English and addressed one or more aspects of microbiome-informed maternal and child nutrition, including gut microbiota, maternal or infant health, dysbiosis, indigenous or traditional food systems, fermented foods, probiotics, postbiotics, microbial metabolites, immune regulation, early-life programming, or precision nutrition. Both human and non-human evidence were considered, including clinical and observational studies, animal studies, in vitro investigations, and relevant systematic reviews, narrative reviews, and meta-analyses. Animal and in vitro studies were retained where they provided mechanistic or biological evidence relevant to the review objectives. Publications were not considered when they were outside the thematic scope of the review, lacked sufficient relevant information, or were editorials, commentaries, conference abstracts without adequate supporting information, or non-English publications.
2.4. Purposive Evidence Identification and Selection
Rather than applying a formal systematic-review screening procedure, literature was purposively identified and selected according to its relevance to the predefined objectives and thematic scope of the review. Retrieved publications were examined for their relevance to maternal and child nutrition, microbiome development and function, indigenous African food systems, fermented foods, probiotics and postbiotics, microbial metabolites, immune regulation, safety, and translational applications. Reference lists of key publications were also examined to identify additional relevant evidence. The selection process therefore emphasized conceptual relevance, population and study-design diversity, methodological characteristics, and directness of evidence to maternal and child nutrition, rather than numerical completeness or exhaustive database screening. This approach enabled the review to map established findings alongside emerging, mechanistic, and hypothesis-generating evidence across interconnected research areas.
2.5. Evidence Characterization and Narrative Synthesis
The identified literature was characterized according to population and study design, including (i) human randomized or intervention studies, (ii) prospective or longitudinal studies, (iii) cross-sectional and other observational studies, (iv) animal studies, (v) in vitro studies, and (vi) reviews and mechanistic literature. Methodological quality and scientific rigor were considered in relation to study design. For human studies, the assessment considered study design appropriateness, sample size where reported, participant selection, the presence of appropriate controls or comparators, the validity of microbiome and clinical outcome measurements, completeness of methodological reporting, and potential sources of bias. For animal and in vitro studies, experimental design, appropriate controls, methodological transparency, reproducibility, and biological relevance were considered. For reviews and meta-analyses, methodological transparency, quality of the underlying evidence, and consistency of findings were considered. These criteria were used to inform interpretation and weighting of evidence rather than to apply a formal numerical quality score These evidence characteristics were also used to structure the tables allowing differentiation of population, study design, microbiome endpoints, clinical or nutritional endpoints, and directness to maternal–child health for each evidence-based or proposed application. Evidence was then synthesized narratively and organized around maternal–infant microbiome development, microbiome–host interactions, indigenous African food systems, fermented foods, probiotics and postbiotics, microbial metabolites, immune regulation, translational applications, safety considerations, and future research priorities. Where evidence was derived from animal or in vitro studies, it was interpreted as preclinical or mechanistic evidence rather than direct clinical evidence. This purposive evidence-mapping approach was used to distinguish relatively established findings from emerging and hypothesis-generating evidence while avoiding claims of exhaustive systematic study identification.
3. Thematic and Mechanistic Analysis
3.1. Current Understanding and Concepts
3.1.1. Development of the Maternal–Infant Microbiome
The maternal–infant microbiome develops through a dynamic continuum that begins before birth and continues throughout infancy, with potential implications for immune maturation, metabolic programming, and long-term health [26]. Although the concept of a resident placental microbiome remains controversial, accumulating evidence demonstrates that maternal physiological status, including diet, obesity, antibiotic exposure, inflammation, and gut microbial composition, may influence fetal development through maternal–fetal transfer of microbial metabolites, immune mediators, and nutrients [27]. Although maternal–fetal transfer of microbial metabolites, immune mediators, and nutrients is biologically plausible and supported by experimental evidence, evidence for a resident placental or fetal microbiome remains unresolved. Microbial signals in low-biomass prenatal samples may be influenced by reagent-derived contaminants (“kitome”) and environmental contamination during deoxyribonucleic acid (DNA) extraction, amplification, and sequencing. Therefore, detection of bacterial DNA alone should not be interpreted as evidence of viable in utero colonization without rigorous contamination controls and molecular validation [28]. Microbial-derived metabolites, such as SCFAs, can cross the placental barrier and may influence fetal immune differentiation, intestinal development, and epigenetic programming [29]. Consequently, maternal microbial health during pregnancy may represent one of several factors relevant to neonatal physiological development, though there is no established direct colonization of the fetal gut.
Birth represents the first major ecological transition in microbial establishment [30]. Vaginally delivered infants are initially exposed to microorganisms originating primarily from the maternal vaginal and intestinal microbiota, including Lactobacillus sp., Bacteroides sp., and Bifidobacterium sp. [31]. In contrast, infants delivered by cesarean section may initially acquire different microbial communities, including greater representation of skin- and healthcare-associated microorganisms such as Staphylococcus sp. and Corynebacterium sp. [32]. These differences are most pronounced during the early postnatal period and may influence microbial succession, immune maturation, and metabolic function. However, accumulating longitudinal studies suggest that postnatal factors including breastfeeding, complementary feeding, antibiotic exposure, and environmental contact substantially modify these early microbial differences, indicating that birth mode represents one of several determinants of microbiome development rather than its sole predictor [33,34].
Breastfeeding is widely recognized as one of the strongest modulators of early-life microbial maturation. Human breast milk provides not only essential nutrients but also a complex array of bioactive components, including human milk oligosaccharides (HMOs), immunoglobulins, antimicrobial peptides, cytokines, and commensal microorganisms [35]. HMOs selectively promote the growth of beneficial bacteria, particularly Bifidobacterium species, which metabolize these complex carbohydrates into SCFAs and other metabolites that can contribute to epithelial barrier integrity, immune regulation, and resistance to pathogen colonization [36]. Breastfeeding therefore supports the establishment of an early-life microbial ecosystem associated with immune education and intestinal development and has been associated with lower risks of diarrheal diseases, respiratory infections, allergies, and necrotizing enterocolitis [37].
The transition to complementary feeding introduces a broader diversity of dietary substrates that progressively reshape the infant gut microbiota toward a more adult-like configuration. Increased consumption of plant-derived fibers, resistant starches, proteins, and complex polysaccharides supports expansion of metabolically diverse bacterial communities capable of producing SCFAs and other bioactive metabolites. Conversely, inadequate dietary diversity, excessive consumption of ultra-processed foods, recurrent antibiotic exposure, and environmental enteric dysfunction have been associated with altered microbial maturation and may be associated with impaired nutrient utilization, immune dysregulation, and increased susceptibility to adverse health outcomes [38]. These developmental stages highlight the maternal–infant microbiome as a dynamic biological system that is highly responsive to nutritional and environmental influences during early life. The sequential establishment of the maternal–infant microbiome from pregnancy through early childhood is illustrated in Figure 1.
3.1.2. Gut Dysbiosis and Disease
Gut dysbiosis is characterized by alterations in the composition, diversity, and functional capacity of the intestinal microbiota that may disrupt microbial homeostasis and host physiology [39]. Rather than reflecting the loss or gain of individual microbial species, dysbiosis can involve changes in microbial community structure and metabolic functions, including reduced production of SCFAs, impaired bile acid metabolism, altered vitamin synthesis, and increased generation of pro-inflammatory metabolites. These functional disturbances have been linked to epithelial barrier dysfunction, chronic immune activation, oxidative stress, and metabolic dysregulation and may provide biological pathways through which dysbiosis could influence maternal and child health [40].
In maternal and pediatric populations, dysbiosis has been associated with a broad spectrum of nutritional, metabolic, inflammatory, and infectious disorders [41]. Studies have reported associations between altered microbial composition and conditions including obesity, gestational diabetes mellitus, childhood undernutrition, inflammatory bowel disease, and recurrent enteric infections [42]. Although reduced abundance of some SCFA-producing taxa, including Faecalibacterium sp., Roseburia sp., and Bifidobacterium sp., has been reported in some disease states, microbial signatures vary substantially according to disease, age, diet, geography, and other environmental factors. Accordingly, these microbial patterns should be interpreted primarily as associations rather than universal disease-specific signatures [43].
Emerging evidence further indicates that gut dysbiosis may be involved in the biological processes associated with childhood stunting through mechanisms extending beyond inadequate dietary intake [44]. Children with severe acute malnutrition frequently exhibit delayed microbial maturation characterized by altered microbial diversity and depletion or delayed development of bacterial communities involved in carbohydrate fermentation and other metabolic functions. These alterations may affect nutrient bioavailability, intestinal barrier function, and immune competence and could potentially influence responsiveness to conventional nutritional rehabilitation [45]. Similar microbial disturbances have been implicated in obesity, allergic diseases, and type 2 diabetes, where altered microbial metabolite production may be involved in pathways related to energy metabolism, immune regulation, and endocrine signaling [46]. Although causal relationships remain under investigation, microbiome-directed nutritional interventions are increasingly being explored as potential complementary strategies for investigation alongside established approaches, rather than established treatments for disease prevention and management. Their potential role in maternal and child health therefore remains a hypothesis-generating area requiring further mechanistic, longitudinal, and intervention-based research. The associations between gut dysbiosis and major maternal and child health conditions are summarized in Table 1.
3.2. Mechanistic Insights
The potential health effects of microbiome-informed nutrition are mediated through a network of microbial metabolites, host signaling pathways, and immune responses that collectively regulate intestinal homeostasis and systemic physiology. Rather than acting solely through changes in microbial composition, dietary interventions including probiotics, fermented foods, and fiber-rich indigenous diets may influence microbial metabolic activity and the production of bioactive compounds that interact with epithelial, immune, and metabolic pathways [55]. These mechanisms provide biological plausibility for microbiome-targeted nutritional strategies, although mechanistic evidence does not necessarily establish clinical effectiveness in maternal and child populations.
3.2.1. Probiotics and Postbiotics
Probiotics are defined as live microorganisms that confer health benefits when administered in adequate amounts [56,57], whereas postbiotics comprise preparations of inanimate microorganisms and/or their components that exert biological activity in the host [58]. Common probiotic genera include Lactiplantibacillus sp., Lacticaseibacillus sp., Bifidobacterium sp., Leuconostoc sp., and Pediococcus sp., many of which are naturally present in fermented foods. These microorganisms can contribute to microbial community interactions, colonization resistance, epithelial barrier function, immune modulation, and production of bioactive metabolites, although effects are often strain-, dose-, host-, and context-dependent [59]. Postbiotics may offer practical advantages related to stability and the absence of viable microorganisms, but their safety, efficacy, and optimal applications in maternal and child nutrition require population-specific evaluation [60]. Accordingly, the presence of probiotic or postbiotic properties in a microorganism or food matrix should not be interpreted as evidence of clinical benefit in maternal or child populations without appropriate intervention-based evidence.
3.2.2. Short-Chain Fatty Acids
SCFAs are major metabolites generated by microbial fermentation of dietary fibers and resistant starches [61]. Acetate is the most abundant SCFA and participates in lipid metabolism, cholesterol synthesis, and peripheral energy utilization [62]. Propionate is transported to the liver, where it can contribute to metabolic processes and influence enteroendocrine signaling [63]. Butyrate serves as an important energy source for colonocytes and has been implicated in maintaining epithelial integrity, regulating inflammatory responses, and supporting regulatory T-cell functions [64]. Collectively, SCFAs activate G-protein-coupled receptors and inhibit histone deacetylases, thereby linking dietary intake with immune, metabolic, and epigenetic processes in experimental and physiological contexts.
3.2.3. Molecular Mechanisms
The biological effects of microbial metabolites are mediated through interconnected metabolic and signaling pathways. SCFAs are synthesized through microbial enzymatic pathways, including the acetyl-CoA, succinate, and butyryl-CoA pathways, depending on substrate availability and microbial composition. These metabolites have been shown to influence intestinal barrier function through effects on epithelial cells and tight-junction regulation [65]. In parallel, microbial metabolites can modulate immune homeostasis, including regulatory T-cell differentiation and inflammatory cytokine responses [66]. At the cellular level, these responses involve signaling pathways including AMP-activated protein kinase (AMPK), mechanistic target of rapamycin (mTOR), mitogen-activated protein kinase (MAPK), nuclear factor-kappa B (NF-κB), Toll-like receptor (TLR), and peroxisome proliferator-activated receptor (PPAR) signaling [67]. Together, these pathways provide mechanistic links between microbial metabolism, host immunity, epithelial function, and energy metabolism, but their translation into effective maternal and child nutrition interventions remains an area for further investigation. These mechanistic pathways therefore provide a basis for hypothesis generation and experimental investigation rather than evidence of established clinical efficacy. The principal molecular pathways mediating microbiome–host interactions are highlighted in Table 2.
3.3. Indigenous African Foods, Traditional Dietary Patterns and Fermented Foods
3.3.1. Indigenous African Foods and Dietary Substrates
Indigenous African food systems represent an under-investigated reservoir of nutrient-dense legumes, dietary fiber, proteins and essential amino acids, polyunsaturated fatty acids, micronutrients, and bioactive compounds that may support food security, nutritional health, and gut microbial ecology [82]. Traditional foods such as millet, sorghum, acha/fonio, Bambara groundnut, cowpea, African leafy vegetables, and other locally available plant foods provide substrates that can be metabolized by intestinal microorganisms and may contribute to microbial diversity and metabolite production [83]. Millet contains dietary fiber, resistant starch, phenolic acids, and flavonoids, while sorghum provides resistant starch and polyphenolic compounds that may influence microbial fermentation and metabolic activity [84]. Cowpea and African leafy vegetables similarly provide fiber, oligosaccharides, polyphenols, carotenoids, and other micronutrients that may support dietary quality and intestinal microbial metabolism [85]. Importantly, the available evidence varies considerably in strength. Human dietary studies and experimental fermentation studies provide evidence for some foods, whereas for others the microbiome-related effects remain largely inferred from nutritional composition, in vitro studies, or animal models. Therefore, these foods should be considered promising dietary substrates rather than established microbiome-directed interventions. This distinction is particularly important in maternal and child nutrition, where dietary adequacy, cultural acceptability, food availability, and food safety must be considered alongside the potential for microbiome effects.
3.3.2. Traditional Fermented Foods and Microbial Diversity
Traditional fermentation is an important component of African food systems, supporting food preservation, food security, and nutritional quality while generating bioactive compounds such as vitamins, peptides, and short-chain fatty acids through diverse microbial communities, particularly lactic acid bacteria, yeasts, and molds [86,87]. Fermentation drives biochemical transformations that can affect food safety, nutrient availability, and fiber fermentability, while generating bioactive metabolites such as SCFAs, peptides, exopolysaccharides, bacteriocins, and vitamins. These microbial products may influence gut microbial diversity, barrier function, immune regulation, and metabolic health, although outcomes vary with fermentation methods, microbial composition, and individual responses [88,89,90]. Traditional fermented foods are of major importance to food security, nutrition, health, and socio-economic development in Africa. Products such as ogi, kunu, nono, and dawadawa (iru) represent diverse cereal-, dairy-, and legume-based fermentations, in which microbial communities, particularly lactic acid bacteria and yeasts, contribute to preservation, nutritional transformation, and the production of bioactive metabolites. Recent microbiome studies have further revealed diverse microbial populations with potential technological, nutritional, and health-related applications [91]. However, the presence of potentially beneficial microorganisms in fermented foods should not automatically be interpreted as evidence of probiotic efficacy in humans. Probiotic effects are strain-specific and depend on viability, dose, food matrix, host characteristics, and demonstrated health outcomes. Most evidence for traditional African fermented foods currently comes from food microbiology, fermentation studies, compositional analyses, and experimental research rather than maternal or pediatric clinical trials. Accordingly, traditional fermented foods should be viewed as potential microbiome-modulating foods and sources of candidate microorganisms, rather than as clinically validated probiotic interventions.
3.3.3. Nutritional and Microbiome-Modulating Potential
The relevance of indigenous foods to microbiome-informed nutrition lies in the interplay between their nutritional composition, fermentation processes, microbial diversity, and cultural acceptability, with potential implications for food safety and human health [92]. Fiber-rich grains, legumes, vegetables, and fermented foods provide nutrients and substrates that shape gut microbiota and microbial metabolite production, although the extent and clinical significance of these effects vary across foods and populations [93]. The evidence summarized in Table 3 and Table 4 illustrates this diversity, while the complex interactions between fermented foods and the gut microbial ecosystem are depicted in Figure 2. Plant-based foods primarily contribute fermentable carbohydrates, resistant starch, fiber, polyphenols, and micronutrients, whereas fermented foods additionally provide microorganisms and fermentation-derived metabolites. Together, these characteristics provide a biologically plausible basis for investigating indigenous food systems as components of microbiome-informed maternal and child nutrition. Nevertheless, evidence should not be interpreted as demonstrating that consumption of individual indigenous foods directly prevents malnutrition, dysbiosis, or disease. Rather, current findings support their investigation as culturally appropriate dietary resources whose microbiome-related effects require further human intervention studies. This distinction is particularly relevant for African populations, where food systems, dietary practices, environmental exposures, and microbiome composition may differ substantially from those of populations represented in existing microbiome research. Population-specific studies are therefore needed to determine whether microbiome responses to indigenous foods are reproducible and clinically meaningful and whether such responses translate into measurable maternal or child health outcomes.
Evidence interpretation: Direct evidence refers to studies conducted in relevant maternal or child populations with corresponding microbiome and/or clinical or nutritional outcomes. Indirect evidence refers to studies conducted in other populations or settings that may inform maternal and child nutrition but do not directly establish maternal–child effects. Food microbiology, in vitro, and animal studies are considered mechanistic or preclinical evidence and are interpreted as hypothesis-generating rather than as direct clinical evidence. “Not assessed” indicates that the relevant microbiome or clinical endpoint was not measured in the cited study. Potential health or translational relevance should not be interpreted as established clinical benefit.
3.4. Fermented Foods, Probiotics and Postbiotics
Fermented foods bridge traditional food systems and microbiome-informed nutrition, while their health benefits, safety, and regulatory frameworks require further mechanistic and clinical evidence [110]. Traditional African fermented foods harbour diverse lactic acid bacteria that drive fermentation and contribute to food safety, shelf life, nutritional quality, and potential health benefits through bioactive metabolite production [111]. The presence of probiotic candidate microorganisms in a fermented food does not by itself establish that the food is a probiotic intervention. Demonstration of a probiotic effect requires evidence for an adequately characterized strain, appropriate dose, viability where relevant, and a defined health benefit [112]. For maternal and child nutrition, the most immediate evidence-supported role of fermented foods is therefore their contribution to food preservation, digestibility, nutrient availability, and dietary diversity, while their potential microbiome-modulating and probiotic effects remain areas for further investigation. Postbiotics offer promising microbiome-targeted benefits with reduced risks associated with live microorganisms, although their efficacy and safety require further study [113]. Nevertheless, clinical evidence for postbiotic applications specifically in maternal and child nutrition remains limited, and safety, formulation, dose, and population-specific efficacy require further evaluation. Thus, fermented foods, probiotics, and postbiotics are positioned in this review along an evidence continuum: fermented foods are established components of traditional diets; selected microorganisms isolated from these foods may represent candidates for probiotic development; and postbiotic preparations represent an emerging intervention category requiring further clinical validation.
3.5. Microbiome-Mediated Nutritional and Health Implications
Maternal and child nutrition influences early-life gut microbiome development, immune and metabolic function, and long-term health, offering a basis for investigating microbiome-targeted interventions. Evidence from African and other low-resource settings provides important context for understanding how these interactions may influence maternal and child nutritional and health outcomes, although the available evidence remains heterogeneous and comparatively limited [114]. Most microbiome research has been conducted in Europe, North America, and East Asia, resulting in limited representation of African populations despite their exceptional dietary diversity, environmental heterogeneity, and distinct microbial exposures. Existing African studies indicate that gut microbiota composition is influenced by traditional dietary patterns, breastfeeding practices, infectious disease burden, sanitation, antibiotic exposure, and urbanization [115]. Compared with populations consuming Westernized diets, rural African communities often exhibit greater microbial diversity and higher abundance of fiber-degrading microorganisms associated with increased production of SCFAs [116]. However, rapid nutrition transition and changing food systems are increasingly altering these microbial profiles, with potential implications for maternal and child health.
3.5.1. Evidence from Africa and Low-Resource Settings
Maternal and child nutrition studies from Africa have primarily focused on childhood stunting, severe acute malnutrition, environmental enteric dysfunction, breastfeeding, and complementary feeding [117]. Emerging evidence suggests that microbial immaturity, reduced abundance of beneficial fermentative bacteria, and impaired microbial metabolic capacity may be associated with poor growth, immune dysfunction, and reduced response to nutritional rehabilitation [118]. However, these associations should not be interpreted as evidence of direct causality, as diet, infection, sanitation, socioeconomic conditions, and other environmental exposures may also influence both microbiome development and nutritional outcomes. Nevertheless, relatively few studies have integrated microbiome profiling with indigenous diets, fermented foods, metabolomics, or longitudinal maternal–infant cohorts, limiting understanding of region-specific microbiome–nutrition interactions [119]. This evidence gap is particularly important in Africa, where indigenous food systems represent an under-investigated reservoir of dietary diversity, fermentation-associated microorganisms, bioactive metabolites, and culturally embedded nutritional practices. Scientific investigation of these food systems may help identify culturally appropriate and affordable nutritional strategies, but their microbiome-mediated health effects require further validation through well-designed human studies. Future studies should prioritize multidisciplinary collaborations integrating food science, microbiology, implementation science, and public health, with greater emphasis on longitudinal maternal–infant cohorts, well-characterized dietary exposures, microbiome profiling, metabolomics, and intervention studies. Such research may help determine whether findings from indigenous food systems can be translated into context-appropriate nutritional approaches.
3.5.2. Maternal and Child Nutritional Implications
The available African evidence suggests that microbiome-related nutritional pathways may be relevant to breastfeeding, complementary feeding, growth, environmental enteric dysfunction, and metabolic health, but the strength of evidence varies considerably across outcomes. In rural Malawi, selected environmental exposures were not significantly associated with environmental enteric dysfunction biomarkers (EED) biomarkers among 18-month-old children, suggesting context-specific drivers of EED [120]. These findings highlight the importance of distinguishing associations between microbiome-related factors and nutritional outcomes from demonstrated causal effects. Evidence from Abu Dhabi highlights gaps in complementary feeding, with only 36.2% of children meeting the minimum acceptable diet despite timely introduction and adequate dietary diversity in many children [121]. Commercial plant-based infant foods vary nutritionally, highlighting the need for complete labelling and informed parental choices regarding protein, micronutrients, sugar, and other nutrients [122]. Together, these findings highlight the relevance of nutrition education that promotes dietary diversity and the appropriate use of locally available nutrient-dense foods rather than reliance on a single food category. Population studies show that gut microbiome composition varies with geography and lifestyle, underscoring the need for greater representation of African populations in microbiome research and population-specific nutrition strategies [123]. Traditional fermentation in Nigeria transforms locally available crops such as maize, cassava, millet, sorghum, yam, and nuts into diverse foods, improving digestibility, nutritional quality, sensory properties, shelf life, and potential health benefits [124]. However, the potential nutritional and microbiome benefits of these foods should be distinguished from demonstrated clinical outcomes, which remain insufficiently studied in maternal and child populations.
3.5.3. Translational and Public Health Implications
Taken together, the evidence supports the potential relevance of microbiome-informed nutrition to maternal and child health, while also demonstrating that translation into clinical and community practice remains at an early stage. Indigenous foods, breastfeeding promotion, dietary diversity, fermented foods, and locally appropriate food-processing practices may warrant investigation as potential entry points for future nutrition interventions in low-resource settings. However, microbiome-based recommendations should be considered alongside, rather than as replacements for, established maternal and child nutrition interventions. Future translational research should therefore determine whether microbiome-informed dietary strategies produce measurable improvements in nutritional status, growth, metabolic health, immune function, or other clinically meaningful outcomes. Such studies should also evaluate safety, acceptability, cultural appropriateness, feasibility, and sustainability before any widespread implementation. Table 5 outlines representative microbiome and maternal–child nutrition studies from Africa, a selection of relevant African studies is provided to inform maternal and child nutrition.
3.6. Community-Based and Primary Healthcare Applications
Translation of microbiome science into maternal and child health requires interventions that extend beyond clinical settings into communities and primary healthcare systems. Food-based microbiome interventions may be of particular interest for investigation in low-resource settings because they build upon existing dietary practices rather than relying exclusively on commercial probiotic formulations [131]. Potentially integrating microbiome-informed nutrition into antenatal care, infant feeding programs, community health outreach, and nutrition counseling could be explored as an adjunct to established nutrition interventions, although the effectiveness of microbiome-informed approaches in routine maternal and child healthcare remains insufficiently validated [132]. Community nutrition education represents a potential implementation strategy for investigation. Educational programs could potentially promote the consumption of fiber-rich indigenous foods, appropriately and safely prepared traditional fermented foods, exclusive breastfeeding, and age-appropriate complementary feeding, while discouraging excessive intake of ultra-processed foods [133]. Training community nutrition champions, community health workers, and primary healthcare personnel could potentially support the dissemination of evidence-based nutrition messages and explore the acceptability of microbiome-informed dietary interventions within local populations [134]. Such approaches should emphasize established nutrition and food-safety recommendations while avoiding unvalidated claims about specific microbiome benefits. Before broader implementation is considered, supportive policies would require relevant microbiome evidence, where sufficiently established, to be evaluated for integration into national nutrition strategies, food-based dietary guidelines, maternal and child health programs, and agricultural policies. Strengthening collaborations among researchers, clinicians, nutritionists, policymakers, and local communities could support research to determine whether emerging microbiome evidence can be translated into sustainable public health interventions that are culturally appropriate, economically feasible, and scalable across diverse African settings. Importantly, community implementation research should incorporate food-safety safeguards. Traditional fermentation does not inherently guarantee microbiological safety, and safety may vary according to ingredients, fermentation conditions, processing practices, storage, and duration. Particular attention is required when fermented foods or microbiome-targeted products are intended for pregnant women, infants, young children, or other vulnerable populations. Table 6 summarizes potential community-based applications of microbiome-informed maternal and child nutrition, highlighting how indigenous foods, fermented foods, dietary education, and primary healthcare partnerships could potentially be investigated as components of context-specific community interventions. A conceptual framework for integrating microbiome science into community healthcare systems is presented in Figure 3. Current evidence supports the potential of community and primary healthcare platforms to deliver nutrition interventions, but direct evidence that microbiome-informed approaches improve maternal or child clinical outcomes remains limited. Strengthening multidisciplinary research, validating indigenous food systems, and evaluating whether appropriately supported microbiome science can be integrated into community nutrition programs and primary healthcare may provide a basis for future translation, rather than establishing current pathways to scalable and sustainable public health implementation in low-resource settings.
3.7. Emerging Technologies and Innovations
Rapid advances in computational biology and high-throughput molecular technologies are transforming microbiome research from descriptive microbial profiling toward functional characterization and data-driven investigation of diet–microbiome–host interactions [144]. These innovations enable researchers to identify microbial functions, host–microbe interactions, and metabolic pathways that may influence maternal and child health, thereby supporting research into potential precision microbiome-based nutritional approaches [145]. These technologies are improving understanding of how dietary exposures, microbial communities, and host physiology interact across pregnancy, infancy, and early childhood. Artificial intelligence (AI) has emerged as a powerful tool for integrating complex microbiome datasets with dietary, clinical, genetic, and environmental information [146]. Machine learning algorithms are increasingly being used to predict disease risk, identify microbial biomarkers, classify microbial communities, and investigate potential relationships between microbial characteristics and dietary or clinical phenotypes [147]. Although most AI-driven microbiome applications remain in the research domain, they may support future applications in nutritional assessment, disease-risk prediction, and potentially more individualized approaches to maternal and child nutrition. Multi-omics technologies have further expanded the mechanistic understanding of microbiome–host interactions [148]. Metagenomics characterizes microbial taxonomic composition and functional genes, metabolomics identifies microbial metabolites involved in host physiology, transcriptomics examines gene expression responses, and proteomics evaluates functional proteins involved in microbial and host metabolic processes [149]. Integration of these complementary datasets provides a systems-level understanding of microbial function that extends beyond taxonomic profiling and may facilitate the identification of candidate biomarkers and pathways for future intervention research. Emerging approaches, including microbiome engineering and precision microbiome nutrition, aim to deliberately modify microbial ecosystems through dietary interventions, targeted probiotics, engineered microbial consortia, postbiotics, and personalized nutrition strategies [150]. While these approaches remain in the early stages of clinical translation, they provide opportunities for research into individualized interventions based on microbiome composition, dietary patterns, and metabolic characteristics. However, these approaches should currently be regarded primarily as research and translational development strategies rather than as established maternal and child nutrition interventions. Broader implementation of validated applications will require standardized analytical methods, larger longitudinal cohorts, cost-effective technologies, independent validation, assessment of safety and clinical utility, and validation across diverse populations. Recent technological advances supporting microbiome-informed maternal and child nutrition are listed in Table 7.
3.8. Safety, Regulatory and Policy Considerations
The rapid expansion of microbiome-based nutritional interventions has highlighted the need for robust regulatory frameworks to ensure product quality, safety, efficacy, and appropriate clinical application. Regulatory oversight is particularly important for probiotics, postbiotics, microbiome-derived therapeutics, and functional foods intended for pregnant women, infants, and young children, who represent vulnerable populations requiring rigorous safety evaluation [159]. Safety considerations should extend beyond the biological identity of an intervention to include microbial contamination, the presence of pathogenic organisms, product consistency, strain identification, dose, strain-specific effects, antimicrobial resistance characteristics where relevant, food processing and storage conditions, and the intended population. For probiotics and postbiotics, safety assessment should therefore be considered across four key domains: microbial or product identity and quality, contamination and infection risk, dose- and strain- or preparation-specific effects, and population-specific susceptibility. These considerations are particularly important for traditionally fermented foods because microbial composition and safety can vary according to raw materials, fermentation practices, environmental conditions, processing, and storage. Fermented products containing alcohol also require particular caution in maternal and child nutrition, and alcohol-containing products should not be promoted as routine foods for pregnant women or children. For probiotic interventions, safety assessment should consider the identity and characteristics of the specific strain rather than assuming that safety demonstrated for one strain applies to another strain of the same species. Dose, duration of administration, host characteristics, underlying vulnerability, and potential antimicrobial-resistance determinants may also influence risk. Postbiotics may mitigate some risks associated with administering viable microorganisms, but their safety and biological effects still depend on the specific preparation, composition, dose, and target population. International organizations, including the World Health Organization (WHO) and the Food and Agriculture Organization (FAO), emphasize healthy diets, breastfeeding, food safety, and sustainable food systems and support evidence-based approaches to nutrition and food-related interventions. Regulatory agencies such as the United States Food and Drug Administration (FDA) and the European Food Safety Authority (EFSA) provide frameworks relevant to the evaluation of foods, probiotics, novel foods, health claims, manufacturing standards, and clinical evidence [160]. However, considerable variation exists among regulatory jurisdictions regarding product classification, efficacy requirements, strain identification, and health-claim authorization. For low- and middle-income countries, policy development should extend beyond regulation of commercial products to include consideration of indigenous food systems, traditional fermented foods, microbiome-informed dietary guidelines, and nutrition-sensitive agricultural policies [161]. However, incorporation of microbiome-specific recommendations into national guidelines should be proportionate to the strength of available evidence and should not precede adequate validation of safety, efficacy, feasibility, and acceptability. Strengthening national regulatory capacity, harmonizing standards, supporting local microbiome research, and establishing the evidence base needed to support validated microbiome applications in maternal and child nutrition programs may facilitate evidence-based implementation while supporting equitable access to safe and effective interventions. The contributions of major international organizations to microbiome-informed nutrition are summarized in Table 8.
3.9. Additional Safety Considerations for Vulnerable Populations
Pregnant women, preterm infants, neonates, young children, and severely malnourished individuals may require additional safeguards because altered immunity, intestinal barrier dysfunction, prematurity, or severe nutritional compromise may modify susceptibility to microbial or foodborne hazards. Accordingly, microbiome-targeted interventions intended for these groups should undergo population-specific safety assessment rather than relying exclusively on evidence obtained from healthy adults. For community-based fermented foods, implementation should therefore include appropriate raw-material selection, hygienic preparation, controlled or well-characterized fermentation where feasible, prevention of cross-contamination, appropriate storage conditions, and monitoring for spoilage or pathogenic contamination. Where standardized starter cultures are used, strain identity, functional characteristics, safety profile, and consistency should be documented.
Current evidence indicates that microbiome-informed maternal and child nutrition is a promising but still developing field rather than an established clinical paradigm. Advances in artificial intelligence, multi-omics technologies, precision nutrition, and microbiome engineering are providing new opportunities to investigate host–microbe interactions and explore more targeted nutritional interventions. However, significant challenges remain, including limited longitudinal and intervention studies, underrepresentation of African populations, methodological heterogeneity, limited clinical validation, safety uncertainties for vulnerable populations, and barriers to implementation in low-resource settings. Addressing these gaps through multidisciplinary research, standardized methods, appropriate safety evaluations, harmonized regulatory approaches, and careful evaluation of potential approaches for integration into community and primary healthcare programs will be essential to translating emerging discoveries into safe, equitable, culturally appropriate, and sustainable maternal and child nutrition strategies.
4. Innovations, Challenges, Limitations, and Future Perspectives
4.1. Innovations and Author Perspectives
Current evidence provides a basis for exploring a transition from conventional nutrient-centered maternal and child nutrition to microbiome-informed nutrition, in which dietary interventions could be investigated not only for their ability to meet nutritional requirements but also for their potential to influence microbial composition and function [168,169]. Based on the evidence synthesized in this review, we propose the Microbiome-Informed Nutrition Framework (MINF) as a conceptual and hypothesis-generating framework that integrates dietary, microbial, clinical, and public health components into a unified research framework for investigating potential approaches to maternal and child health. The framework is not presented as a clinically validated or implementation-tested intervention model, but rather as a conceptual structure for integrating evidence and generating testable hypotheses for future research. Unlike existing approaches that focus primarily on probiotic supplementation or individual dietary interventions, the proposed framework recognizes the gut microbiome as an important biological interface linking food systems, microbial metabolism, immune regulation, and health-related processes.
The MINF is organized into two interconnected domains: (A) evidence-supported biological and nutritional components and (B) proposed translational and implementation components. The evidence-supported components include maternal and child dietary exposures, dietary substrates, microbial composition and function, microbial metabolites, and host–microbiome interactions. The evidence-supported domain draws primarily on findings from nutritional, mechanistic, observational, and clinical intervention studies, whereas the translational and implementation domain represents author-proposed applications that require prospective clinical and implementation validation [170]. MINF differs from conventional nutrition and public-health frameworks by explicitly integrating dietary substrates, microbial ecology and function, microbial metabolites, and host–microbiome interactions with proposed translational and community-level applications within a single microbiome-informed framework. The MINF is founded on indigenous food systems, emphasizing the use of locally available whole grains, legumes, vegetables, fruits, and traditional fermented foods as sustainable sources of prebiotic substrates and, in some cases, candidate microorganisms with potential functional relevance. These dietary resources interact with the gut microbiota to influence microbial diversity, stimulate production of short-chain fatty acids and other bioactive metabolites, and participate in processes related to epithelial barrier function and immune homeostasis [171,172]. Within this framework, probiotics and postbiotics serve as complementary areas for investigation or potential interventions where evidence supports their clinical application, particularly among vulnerable maternal and pediatric populations. Their effects, however, may be strain-, formulation-, dose-, population-, and context-dependent and should therefore not be assumed to be uniform across populations.
A distinguishing feature of the proposed framework is the integration of potential translational applications with community-based implementation as areas for future research. While individualized nutrition based on microbiome characteristics represents a long-term objective, established public health measures such as primary healthcare systems, nutrition education, breastfeeding promotion, community nutrition champions, and culturally appropriate dietary recommendations provide existing platforms through which potential microbiome-informed approaches could be investigated [173]. Other proposed translational components include digital health, precision nutrition, and policy integration. These components represent potential applications requiring prospective evaluation rather than validated components of the MINF. Accordingly, the framework provides a conceptual bridge for investigating how emerging microbiome science might inform context-specific interventions, rather than establishing a pathway for immediate implementation or scale-up. The MINF proposed in this review is a conceptual and hypothesis-generating framework rather than a clinically validated intervention model. Its components are informed by evidence from nutritional, microbiome, mechanistic, observational, and intervention studies, but the framework itself has not undergone prospective clinical validation, stakeholder validation, or implementation testing. Future research should therefore evaluate its feasibility, acceptability, predictive utility, and clinical effectiveness in appropriately designed maternal and child nutrition studies. The proposed MINF, integrating evidence, community practice, and policy, is illustrated in Figure 4.
4.2. Emerging Innovations
Rapid technological advances are expanding opportunities for microbiome-informed maternal and child nutrition beyond conventional dietary interventions. Artificial intelligence and machine learning are increasingly being applied to analyze complex microbiome datasets, identify microbial biomarkers, predict disease susceptibility, and explore the potential for individualized dietary recommendations. When integrated with electronic health records and digital dietary assessment tools, these approaches may facilitate nutritional risk identification and support research into more personalized intervention strategies, although their clinical utility in maternal and child nutrition remains insufficiently validated [174].
Simultaneously, multi-omics technologies, including metagenomics, metabolomics, transcriptomics, and proteomics, are providing a systems-level understanding of microbial function by linking microbial composition to metabolic activity and host responses. These technologies enable the identification of functional biomarkers and molecular pathways that may inform precision nutrition and therapeutic development [175]. The emergence of postbiotic therapeutics, consisting of microbial metabolites or inactivated microbial preparations, also offers potential advantages over live probiotics, including greater stability and opportunities for more standardized production, although safety and clinical effectiveness remain dependent on the specific preparation and application [176].
Digital health technologies, including mobile applications, wearable devices, telehealth platforms, and artificial intelligence-assisted decision support systems, further create opportunities to investigate approaches for dietary monitoring, nutrition counseling, and potential delivery of microbiome-informed approaches within primary healthcare [177]. These technologies represent potential translational tools, but their effectiveness, accessibility, affordability, and suitability for maternal and child nutrition require evaluation in diverse populations and healthcare settings. Emerging innovations should therefore be regarded primarily as potential applications and research directions rather than established clinical interventions. Emerging innovations with potential applications in microbiome-informed maternal and child nutrition are presented in Table 9.
4.3. Challenges
Despite substantial progress, several challenges continue to limit the translation of microbiome science into routine maternal and child healthcare. Considerable inter-individual variability in microbiome composition, influenced by genetics, age, diet, geography, antibiotic exposure, and environmental factors, complicates the development of universally applicable nutritional recommendations. This variability underscores the importance of population-specific research and cautious interpretation of findings derived predominantly from high-income settings [184].
A second challenge is the limited representation of African and other low-resource populations within microbiome research. Most available datasets originate from Europe, North America, and East Asia, restricting the generalizability of current evidence to populations with different dietary patterns, environmental exposures, and disease burdens [185]. Furthermore, many studies are cross-sectional and involve relatively small sample sizes, limiting the ability to establish causal relationships or evaluate long-term microbiome dynamics.
Methodological heterogeneity also remains a significant barrier. Differences in sample collection, sequencing platforms, bioinformatic pipelines, microbial taxonomic classification, and outcome measures reduce comparability across studies [186]. In addition, lack of standardization in probiotic strains, postbiotic formulations, dosage regimens, and intervention durations complicates evidence synthesis and limits assessment of clinical effectiveness and comparability across interventions [187]. Although promising findings continue to emerge, well-designed, adequately powered randomized controlled trials evaluating microbiome-targeted interventions during pregnancy and early childhood remain limited.
4.4. Limitations
The interpretation of the current evidence should take into account several limitations in the published literature. Many studies involve modest sample sizes, short follow-up periods, and observational or cross-sectional designs that limit causal inference. Geographic bias remains evident, with disproportionate representation of high-income countries and relatively few longitudinal investigations from Africa and other low- and middle-income regions. Moreover, inconsistencies in sequencing methodologies, microbial classification systems, and analytical pipelines contribute to variability in reported microbial associations and reduce opportunities for direct comparison across studies. This review also has inherent limitations. Only English-language publications were included, potentially excluding relevant evidence published in other languages. As with most narrative reviews, the synthesis may also be influenced by publication bias, whereby studies reporting positive or statistically significant findings are more likely to be published. In addition, the heterogeneity of study populations, interventions, microbiome analytical methods, and reported outcomes limits direct comparison across studies and prevents firm conclusions regarding clinical effectiveness of microbiome-informed interventions. Nevertheless, by integrating evidence from diverse disciplines and emphasizing both mechanistic and translational perspectives, this review provides a broad synthesis of the current evidence on microbiome-informed maternal and child nutrition.
4.5. Future Perspectives
Future research should move beyond descriptive characterization of microbial communities toward functional and translational investigations that directly inform the development and evaluation of nutritional interventions. Particular priority should be given to the identification and characterization of indigenous probiotic strains isolated from traditional fermented foods, as these microorganisms may provide culturally acceptable and locally sustainable candidates for further investigation, rather than assuming equivalence with commercially available probiotic products [188].
Large longitudinal birth cohorts that incorporate maternal dietary assessment, microbiome profiling, metabolomics, and long-term child health outcomes are required to better characterize temporal relationships and to investigate potential causal pathways between microbial development and disease risk. Integration of multi-omics technologies with advanced bioinformatics will facilitate the identification of microbial biomarkers, functional metabolites, and signaling pathways that can inform future precision nutrition research [189].
Artificial intelligence and machine learning are expected to play an increasingly important role in integrating dietary, microbiome, genetic, clinical, and environmental data to investigate potential approaches to disease prediction and individualized nutritional recommendations. However, these applications require rigorous validation, representative datasets, assessment of algorithmic performance, and attention to data privacy and health equity before routine clinical implementation. At the same time, adequately powered multicentre randomized clinical trials are needed to evaluate the effectiveness, safety, and cost-effectiveness of probiotics, postbiotics, fermented foods, and indigenous dietary interventions across diverse populations [190].
Finally, future microbiome research should adopt a One Health perspective that recognizes the interconnected roles of human health, food systems, agriculture, environmental microbiology, and ecosystem sustainability [191]. Community-based interventions delivered through primary healthcare, supported by culturally appropriate nutrition education and evidence-based policy, may provide potential pathways for future investigation into translating microbiome science into equitable and sustainable maternal and child health strategies, but their feasibility, acceptability, effectiveness, and scalability should be evaluated through implementation research.
5. Conclusions
Maternal and child nutrition is increasingly understood as an interaction between diet, the gut microbiota, host metabolism, immune function, and environmental exposures. This review highlights the potential roles of indigenous foods, traditional fermented foods, probiotics, and postbiotics in influencing microbial composition, microbial metabolites, gut barrier function, and immune regulation, particularly within African and other resource-constrained settings. Indigenous and traditional fermented foods represent plausible and important research priorities because of their nutritional, cultural, and microbiome-relevant characteristics; however, they should not yet be considered proven microbiome interventions for maternal or child clinical outcomes. The proposed Microbiome-Informed Nutrition Framework (MINF) provides a conceptual and hypothesis-generating model that links evidence-supported relationships among dietary substrates, microbial ecology, microbial metabolites, and host–microbiome interactions to proposed translational applications, including precision nutrition, digital health, community nutrition, primary healthcare, and policy integration. MINF is not yet a validated intervention framework, and its feasibility, acceptability, predictive utility, and clinical effectiveness require prospective evaluation. Future research should prioritize longitudinal maternal–infant studies, multicentre intervention trials, standardized microbiome approaches, multi-omics integration, biomarker discovery, and investigation of indigenous probiotic resources. Rigorous prospective research is particularly needed to determine whether the microbiome-related properties of indigenous and fermented foods translate into measurable maternal and child health benefits. Such evidence will be essential for determining whether and how microbiome science can be translated into sustainable, equitable, and culturally relevant maternal and child nutrition strategies, particularly in Africa.
Acknowledgements
AcknowledgmentsWe gratefully acknowledge and appreciate the Biomedical Research Program at Weill Cornell Medicine–Qatar for its support. We also acknowledge the use of FigureLabs (https://chat.figurelabs.ai/project/2093665808025423873) accessed on 14 July 2026 solely for the preparation and formatting of the figures, and QuillBot vs Grammarly (https://quillbot.com/blog/writing/quillbot-vs-grammarly/) accessed on 10 June 2026, where necessary, for language refinement, including improvements in grammar, spelling, clarity, and readability. All scientific content, analyses, interpretations, and conclusions were developed, reviewed, and verified by the authors. The authors take full responsibility for the accuracy, integrity, and scientific content of the manuscript.
Competing interests
Conflicts of InterestThe authors declare no conflicts of interest.
References
- Esamai F., Mwangi A., Nangami M., Tabu J., Ayuku D., Were E.. Improving maternal and child health outcomes through a community involvement strategy in Kabula location, Bungoma County, Kenya. Dialogues Health. 2022 doi:10.1016/j.dialog.2022.100026 PubMed
- Marshall N.E., Abrams B., Barbour L.A., Catalano P., Christian P., Friedman J.E. et al. The importance of nutrition in pregnancy and lactation: Lifelong consequences. Am. J. Obstet. Gynecol.. 2022 doi:10.1016/j.ajog.2021.12.035 PubMed
- Wells J.C., Sawaya A.L., Wibaek R., Mwangome M., Poullas M.S., Yajnik C.S. et al. The double burden of malnutrition: Aetiological pathways and consequences for health. Lancet. 2020 doi:10.1016/S0140-6736(19)32472-9 PubMed
- Lukwa A.T., Okova D.. The double burden of malnutrition: Rethinking clinical and policy responses in the era of rising obesity in low- and middle-income countries. Public Health Nutr.. 2026 doi:10.1017/S1368980026101840 PubMed
- Álvarez D., Muñoz Y., Ortiz M., Maliqueo M., Chouinard-Watkins R., Valenzuela R.. Impact of Maternal Obesity on the Metabolism and Bioavailability of Polyunsaturated Fatty Acids during Pregnancy and Breastfeeding. Nutrients. 2020 doi:10.3390/nu13010019 PubMed
- Marine B.T., Haile Y.A., Zewde M.G.. Maternal nutrition practices and its implications for child growth and development in Jimma Town a community based cross sectional study. Sci. Rep.. 2026 doi:10.1038/s41598-026-37151-4 PubMed
- Gernand A.D., Schulze K.J., Stewart C.P., West K.P., Christian P.. Micronutrient deficiencies in pregnancy worldwide: Health effects and prevention. Nat. Rev. Endocrinol.. 2016 doi:10.1038/nrendo.2016.37 PubMed
- Nova E., Gómez-Martinez S., González-Soltero R.. The Influence of Dietary Factors on the Gut Microbiota. Microorganisms. 2022 doi:10.3390/microorganisms10071368 PubMed
- Yin Q., Gupta S., Muller E., Almeida A.. The human gut microbiome in enteric infections: From association to translation. Gut Microbes. 2026 doi:10.1080/19490976.2026.2612836 PubMed
- Zhong Y., Lei Y., Jiang S., Chen D., Wang X., Wang K. et al. Advances in understanding the role of gut microbiota in fat deposition and lipid metabolism. J. Anim. Sci. Biotechnol.. 2025 doi:10.1186/s40104-025-01284-9 PubMed
- Catassi G., Mateo S.G., Occhionero A.S., Esposito C., Giorgio V., Aloi M. et al. The importance of gut microbiome in the perinatal period. Eur. J. Pediatr.. 2024 doi:10.1007/s00431-024-05795-x PubMed
- Nogal A., Valdes A.M., Menni C.. The role of short-chain fatty acids in the interplay between gut microbiota and diet in cardio-metabolic health. Gut Microbes. 2021 doi:10.1080/19490976.2021.1897212 PubMed
- Wang Q., Yang Q., Liu X.. The microbiota–gut–brain axis and neurodevelopmental disorders. Protein Cell. 2023 doi:10.1093/procel/pwad026 PubMed
- Biagioli V., Matera M., Ramenghi L.A., Falsaperla R., Striano P.. Microbiome and Pregnancy Dysbiosis: A Narrative Review on Offspring Health. Nutrients. 2025 doi:10.3390/nu17061033 PubMed
- Rinninella E., Tohumcu E., Raoul P., Fiorani M., Cintoni M., Mele M.C. et al. The role of diet in shaping human gut microbiota. Best Pract. Res. Clin. Gastroenterol.. 2023 doi:10.1016/j.bpg.2023.101828 PubMed
- Kilua A., Nagata R., Han K.-H., Fukushima M.. Beneficial health effects of polyphenols metabolized by fermentation. Food Sci. Biotechnol.. 2022 doi:10.1007/s10068-022-01112-0 PubMed
- Puig-Castellví F., Pacheco-Tapia R., Deslande M., Jia M., Andrikopoulos P., Chechi K. et al. Advances in the integration of metabolomics and metagenomics for human gut microbiome and their clinical applications. TrAC Trends Anal. Chem.. 2023 doi:10.1016/j.trac.2023.117248
- Maftei N.M., Ambrose L., Dogaru E., Răileanu R., Mierlan O.L., Amariței O. et al. From Probiotics to Postbiotics—An Update on Their Biotherapeutic Potential and the Emerging Strategies in Human Health. Int. J. Mol. Sci.. 2026 doi:10.3390/ijms27052218 PubMed
- Santa D., Huch M., Stoll D.A., Cunedioglu H., Priidik R., Karakaş-Budak B. et al. Health benefits of ethnic fermented foods. Front. Nutr.. 2025 doi:10.3389/fnut.2025.1677478 PubMed
- Hao F., Zhu W., Zheng J., Ng S.C., Zhang J.. Geographic diversity in inflammatory bowel disease genetics and microbiome. Trends Microbiol.. 2025 doi:10.1016/j.tim.2025.06.017 PubMed
- Basic M., Dardevet D., Abuja P.M., Bolsega S., Bornes S., Caesar R. et al. Approaches to discern if microbiome associations reflect causation in metabolic and immune disorders. Gut Microbes. 2022 doi:10.1080/19490976.2022.2107386 PubMed
- Jeong J., Yun K., Mun S., Chung W.-H., Choi S.-Y., Nam Y. et al. The effect of taxonomic classification by full-length 16S rRNA sequencing with a synthetic long-read technology. Sci. Rep.. 2021 doi:10.1038/s41598-020-80826-9 PubMed
- Ece G., Aktaş A., Koyuncu Özyurt Ö., Demirbakan H., Alışkan H.E., Sağlık İ. et al. Basic Microbiome Analysis: Analytical Steps from Sampling to Sequencing. Microorganisms. 2026 doi:10.3390/microorganisms14020387 PubMed
- Owrang M.. Probiotics, postbiotics, and synbiotics in immune system modulation: A narrative review. Biotechnol. Notes. 2026 doi:10.1016/j.biotno.2026.06.001 PubMed
- Duan D., Wang M., Han J., Li M., Wang Z., Zhou S. et al. Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications. Front. Microbiol.. 2025 doi:10.3389/fmicb.2024.1509117 PubMed
- Mukherjee A.. The maternal–infant microbiome axis as an epigenetic and immunometabolic orchestrator: Redefining early-life programming and precision interventions for lifelong women’s and children’s health. Infect. Immun.. 2026 doi:10.1128/iai.00502-25 PubMed
- Koren O., Konnikova L., Brodin P., Mysorekar I.U., Collado M.C.. The maternal gut microbiome in pregnancy: Implications for the developing immune system. Nat. Rev. Gastroenterol. Hepatol.. 2024 doi:10.1038/s41575-023-00864-2 PubMed
- Wang H., Tin F., Chen H., Jiao F., Wu M., Sun S. et al. Maternal and infant gut microbiome. iMeta. 2026 doi:10.1002/imt2.70151 PubMed
- Ziętek M., Celewicz Z., Szczuko M.. Short-Chain Fatty Acids, Maternal Microbiota and Metabolism in Pregnancy. Nutrients. 2021 doi:10.3390/nu13041244 PubMed
- Martino C., Dilmore A.H., Burcham Z.M., Metcalf J.L., Jeste D., Knight R.. Microbiota succession throughout life from the cradle to the grave. Nat. Rev. Microbiol.. 2022 doi:10.1038/s41579-022-00768-z PubMed
- Xie H., Meng L., Duan X., Liang X., Huang T., Ma G. et al. Establishment of the early gut microbiota in vaginally delivered infants: The influence of maternal gut microbiota outweighs vaginal microbiota. Microbiol. Spectr.. 2025 doi:10.1128/spectrum.01775-25 PubMed
- Shin H., Pei Z., Martinez K.A., Rivera-Vinas J.I., Mendez K., Cavallin H. et al. The first microbial environment of infants born by C-section: The operating room microbes. Microbiome. 2015 doi:10.1186/s40168-015-0126-1 PubMed
- Suárez-Martínez C., Santaella-Pascual M., Yagüe-Guirao G., Martínez-Graciá C.. Infant gut microbiota colonization: Influence of prenatal and postnatal factors, focusing on diet. Front. Microbiol.. 2023 doi:10.3389/fmicb.2023.1236254 PubMed
- Dong T.S., Gupta A.. Influence of Early Life, Diet, and the Environment on the Microbiome. Clin. Gastroenterol. Hepatol.. 2019 doi:10.1016/j.cgh.2018.08.067 PubMed
- Donovan S.M., Aghaeepour N., Andres A., Azad M.B., Becker M., Carlson S.E. et al. Evidence for human milk as a biological system and recommendations for study design—A report from “Breastmilk Ecology: Genesis of Infant Nutrition (BEGIN)” Working Group 4. Am. J. Clin. Nutr.. 2023 doi:10.1016/j.ajcnut.2022.12.021 PubMed
- Šuligoj T., Vigsnæs L.K., Van den Abbeele P., Apostolou A., Karalis K., Savva G.M. et al. Effects of Human Milk Oligosaccharides on the Adult Gut Microbiota and Barrier Function. Nutrients. 2020 doi:10.3390/nu12092808 PubMed
- Davis E.C., Castagna V.P., Sela D.A., Hillard M.A., Lindberg S., Mantis N.J. et al. Gut microbiome and breast-feeding: Implications for early immune development. J. Allergy Clin. Immunol.. 2022 doi:10.1016/j.jaci.2022.07.014 PubMed
- Moleriu L.C., Lupusoru R., Marin R.-C., Muntean C., Piroș T., Vlad D.C. et al. Food as Friend or Foe: A Decadal Narrative Review of Dietary Patterns as Determinants of Gastrointestinal Pathophysiology and Clinical Outcomes (2015–2025). Int. J. Mol. Sci.. 2026 doi:10.3390/ijms27062837 PubMed
- Mahanta S., Nath K., Boruah K., Chakraborty T.. Dysbiosis and the modern lifestyle: Mechanisms, health impacts, and microbiome based interventions. Brain Behav. Immun. Integr.. 2026 doi:10.1016/j.bbii.2025.100146
- Sultan S., El-Mowafy M., Elgaml A., Ahmed T.A.E., Hassan H., Mottawea W.. Metabolic Influences of Gut Microbiota Dysbiosis on Inflammatory Bowel Disease. Front. Physiol.. 2021 doi:10.3389/fphys.2021.715506 PubMed
- Ahmed U., Fatima F., Farooq H.A.. Microbial dysbiosis and associated disease mechanisms in maternal and child health. Infect. Immun.. 2025 doi:10.1128/iai.00179-25 PubMed
- Bertin L., Facchin S., Barberio B., Maniero D., Lorenzon G., Cesaroni F. et al. Diet and Gut Microbiota in Inflammatory Bowel Disease: A Clinical and Nutritional Perspective. Pharmaceuticals. 2026 doi:10.3390/ph19020318 PubMed
- Yu W., Qu H., Wang S., Shi M., Lu Y., Xia S. et al. From microbiomes to predictive ecosystems: Challenges and opportunities in artificial intelligence-based approaches. Lancet Microbe. 2026 doi:10.1016/j.lanmic.2026.101428 PubMed
- Hardjo J., Selene N.B.. Stunting and Gut Microbiota: A Literature Review. Pediatr. Gastroenterol. Hepatol. Nutr.. 2024 doi:10.5223/pghn.2024.27.3.137 PubMed
- Zoghi S., Sadeghpour Heravi F., Nikniaz Z., Shirmohamadi M., Moaddab S.Y., Ebrahimzadeh Leylabadlo H.. Gut microbiota and childhood malnutrition: Understanding the link and exploring therapeutic interventions. Eng. Life Sci.. 2024 doi:10.1002/elsc.202300070 PubMed
- Harsch I.A., Konturek P.C.. The Role of Gut Microbiota in Obesity and Type 2 and Type 1 Diabetes Mellitus: New Insights into “Old” Diseases. Med. Sci.. 2018 doi:10.3390/medsci6020032 PubMed
- Ventura E.F., Selma-Royo M., Turjeman S., González S., Koren O., Collado M.C.. Impact of maternal diet on microbiota and health during pregnancy: A systematic review and correlational meta-analysis. Am. J. Clin. Nutr.. 2026 doi:10.1016/j.ajcnut.2025.101175 PubMed
- Surono I.S., Popov I., Verbruggen S., Verhoeven J., Kusumo P.D., Venema K.. Gut microbiota differences in stunted and normal-lenght children aged 36–45 months in East Nusa Tenggara, Indonesia. PLoS ONE. 2024 doi:10.1371/journal.pone.0299349 PubMed
- Chakaroun R.M., Pradhan M., Björnson E., Arvidsson D., Fridolfsson J., Gummesson A. et al. Multi-omic definition of metabolic obesity through adipose tissue–microbiome interactions. Nat. Med.. 2026 doi:10.1038/s41591-025-04009-7 PubMed
- Augustine T., Kumar M., Al Khodor S., van Panhuys N.. Microbial Dysbiosis Tunes the Immune Response Towards Allergic Disease Outcomes. Clin. Rev. Allergy Immunol.. 2022 doi:10.1007/s12016-022-08939-9 PubMed
- Garcia-Gutierrez E., O’Mahony A.K., Dos Santos R.S., Marroquí L., Cotter P.D.. Gut microbial metabolic signatures in diabetes mellitus and potential preventive and therapeutic applications. Gut Microbes. 2024 doi:10.1080/19490976.2024.2401654 PubMed
- Cao Y., Shen J., Ran Z.H.. Association between Faecalibacterium prausnitzii Reduction and Inflammatory Bowel Disease: A Meta-Analysis and Systematic Review of the Literature. Gastroenterol. Res. Pract.. 2014 doi:10.1155/2014/872725 PubMed
- Nyenga A.M., Mukuku O., Ziazia J.S., Wembonyama S.O.. Necrotizing Enterocolitis in Preterm Infants: An Inflammatory Condition at the Crossroads of Intestinal Immaturity, Dysbiosis, and Nutrition. Int. J. Pediatr.. 2026 doi:10.1155/ijpe/9191604 PubMed
- Ramamurthy T., Kumari S., Ghosh A.. Diarrheal disease and gut microbiome. Prog. Mol. Biol. Transl. Sci.. 2022 doi:10.1016/bs.pmbts.2022.08.002 PubMed
- Nithya A., Misra S., Panigrahi C., Dalbhagat C.G., Mishra H.N.. Probiotic potential of fermented foods and their role in non-communicable diseases management: An understanding through recent clinical evidences. Food Chem. Adv.. 2023 doi:10.1016/j.focha.2023.100381
- Sarita B., Samadhan D., Hassan M.Z., Kovaleva E.G.. A comprehensive review of probiotics and human health-current prospective and applications. Front. Microbiol.. 2025 doi:10.3389/fmicb.2024.1487641 PubMed
- Mafe A.N., Smart O.O., Edo G.I., Akpoghelie P.O., Gaaz T.S., Yousif E. et al. Genesis, Health Benefits, and Future Perspectives of Probiotics: Exploring Endogenous and Exogenous Classes, Innovations, and Research Gaps. Probiotics Antimicrob. Proteins. 2025 doi:10.1007/s12602-025-10756-3 PubMed
- Makut M.D., Mafe A.N., Owuna J.E., Calina D., Sharifi-Rad J.. Postbiotics from indigenous lactic acid bacteria: Mechanisms, biopreservation and functional food applications. J. Sci. Food Agric.. 2026 doi:10.1002/jsfa.70405 PubMed
- Grujović M.Ž., Semedo-Lemsaddek T., Marković K.G.. Application of Probiotics in Foods: A Comprehensive Review of Benefits, Challenges, and Future Perspectives. Foods. 2025 doi:10.3390/foods14173088 PubMed
- Ottria R., Xynomilakis O., Casati S., Ciuffreda P.. Pre- to Postbiotics: The Beneficial Roles of Pediatric Dysbiosis Associated with Inflammatory Bowel Diseases. Microorganisms. 2024 doi:10.3390/microorganisms12081582 PubMed
- Sankarganesh P., Bhunia A., Ganesh Kumar A., Babu A.S., Gopukumar S.T., Lokesh E.. Short-chain fatty acids (SCFAs) in gut health: Implications for drug metabolism and therapeutics. Med. Microecol.. 2025 doi:10.1016/j.medmic.2025.100139
- Lange O., Proczko-Stepaniak M., Mika A.. Short-Chain Fatty Acids—A Product of the Microbiome and Its Participation in Two-Way Communication on the Microbiome-Host Mammal Line. Curr. Obes. Rep.. 2023 doi:10.1007/s13679-023-00503-6 PubMed
- Portincasa P., Bonfrate L., Vacca M., De Angelis M., Farella I., Lanza E. et al. Gut Microbiota and Short Chain Fatty Acids: Implications in Glucose Homeostasis. Int. J. Mol. Sci.. 2022 doi:10.3390/ijms23031105 PubMed
- Liu H., Wang J., He T., Becker S., Zhang G., Li D. et al. Butyrate: A Double-Edged Sword for Health?. Adv. Nutr.. 2018 doi:10.1093/advances/nmx009 PubMed
- Münte E., Hartmann P.. The Role of Short-Chain Fatty Acids in Metabolic Dysfunction-Associated Steatotic Liver Disease and Other Metabolic Diseases. Biomolecules. 2025 doi:10.3390/biom15040469 PubMed
- Xie L., Lin W.. The role of gut microbiota dysbiosis in the inflammatory pathogenesis of diabetic retinopathy. Front. Immunol.. 2025 doi:10.3389/fimmu.2025.1604315 PubMed
- Reisman E.G., Hawley J.A., Hoffman N.J.. Exercise-Regulated Mitochondrial and Nuclear Signalling Networks in Skeletal Muscle. Sport. Med.. 2024 doi:10.1007/s40279-024-02007-2 PubMed
- El-Saadony M.T., Saad A.M., Sitohy M., Alkafaas S.S., Dladla M., Ghosh S. et al. Probiotics and human health: Biological activities, nutritional aspects, immunomodulatory properties, applications, and future perspectives—A comprehensive review. Front. Immunol.. 2026 doi:10.3389/fimmu.2025.1713426 PubMed
- Mishra B., Mishra A.K., Mohanta Y.K., Yadavalli R., Agrawal D.C., Reddy H.P. et al. Postbiotics: The new horizons of microbial functional bioactive compounds in food preservation and security. Food Prod. Process. Nutr.. 2024 doi:10.1186/s43014-023-00200-w
- Byrne C.S., Chambers E.S., Morrison D.J., Frost G.. The role of short chain fatty acids in appetite regulation and energy homeostasis. Int. J. Obes.. 2015 doi:10.1038/ijo.2015.84 PubMed
- Facchin S., Calgaro M., Savarino E.V.. Rethinking Short-Chain Fatty Acids: A Closer Look at Propionate in Inflammation, Metabolism, and Mucosal Homeostasis. Cells. 2025 doi:10.3390/cells14151130 PubMed
- Kalkan A.E., BinMowyna M.N., Raposo A., Ahmad M.F., Ahmed F., Otayf A.Y. et al. Beyond the Gut: Unveiling Butyrate’s Global Health Impact Through Gut Health and Dysbiosis-Related Conditions: A Narrative Review. Nutrients. 2025 doi:10.3390/nu17081305 PubMed
- Wei Y., Ma X., Zhao J., Wang X., Gao C.. Succinate metabolism and its regulation of host-microbe interactions. Gut Microbes. 2023 doi:10.1080/19490976.2023.2190300 PubMed
- Singh V., Lee G., Son H., Koh H., Kim E.S., Unno T. et al. Butyrate producers, “The Sentinel of Gut”: Their intestinal significance with and beyond butyrate, and prospective use as microbial therapeutics. Front. Microbiol.. 2023 doi:10.3389/fmicb.2022.1103836 PubMed
- Ferris M.M., Subitoni Antonio L., Al-Sadi R.. Probiotics and the intestinal tight junction barrier function. Front. Cell Dev. Biol.. 2025 doi:10.3389/fcell.2025.1671152 PubMed
- Shi P., Yu Y., Xie H., Yin X., Chen X., Zhao Y. et al. Recent advances in regulatory immune cells: Exploring the world beyond Tregs. Front. Immunol.. 2025 doi:10.3389/fimmu.2025.1530301 PubMed
- Mansouri A., Akthar I., Miyamoto A.. TLR2 and TLR4 bridge physiological and pathological inflammation in the reproductive system. Commun. Biol.. 2025 doi:10.1038/s42003-025-08424-x PubMed
- Garcia D., Shaw R.J.. AMPK: Mechanisms of Cellular Energy Sensing and Restoration of Metabolic Balance. Mol. Cell. 2017 doi:10.1016/j.molcel.2017.05.032 PubMed
- Saxton R.A., Sabatini D.M.. mTOR Signaling in Growth, Metabolism, and Disease. Cell. 2017 doi:10.1016/j.cell.2017.02.004 PubMed
- Diao Y., Wang J., Tan X., Yuan J.. MAPK signaling pathways in host immune regulation during Mycobacterium tuberculosis infection. Front. Immunol.. 2026 doi:10.3389/fimmu.2026.1781320 PubMed
- Hoffmann A., Cheng G., Baltimore D.. NF-κB: Master regulator of cellular responses in health and disease. Immun. Inflamm.. 2025 doi:10.1007/s44466-025-00014-0 PubMed
- Popoola J.O., Ojuederie O.B., Aworunse O.S., Adelekan A., Oyelakin A.S., Oyesola O.L. et al. Nutritional, functional, and bioactive properties of african underutilized legumes. Front. Plant Sci.. 2023 doi:10.3389/fpls.2023.1105364 PubMed
- Fusco W., Lorenzo M.B., Cintoni M., Porcari S., Rinninella E., Kaitsas F. et al. Short-Chain Fatty-Acid-Producing Bacteria: Key Components of the Human Gut Microbiota. Nutrients. 2023 doi:10.3390/nu15092211 PubMed
- Tanwar R., Panghal A., Chaudhary G., Kumari A., Chhikara N.. Nutritional, phytochemical and functional potential of sorghum: A review. Food Chem. Adv.. 2023 doi:10.1016/j.focha.2023.100501
- Owade J.O., Abong’ G., Okoth M., Mwang’ombe A.W.. A review of the contribution of cowpea leaves to food and nutrition security in East Africa. Food Sci. Nutr.. 2020 doi:10.1002/fsn3.1337 PubMed
- Obayomi O.V., Edo G.I.. Exploring the health benefits, mechanisms of action, and emerging safety concerns of fermented foods with emphasis on African foods. Food Wellness. 2025 doi:10.1016/j.foodw.2025.100021
- Falana M.B., Nurudeen Q.O., Asinmi M.R., Dikwa M.A.. An inventory of selected Nigerian fermented foods: Enhancing the trajectory of sustainable development goals. npj Sci. Food. 2026 doi:10.1038/s41538-026-00844-1 PubMed
- Fitsum S., Gebreyohannes G., Sbhatu D.B.. Bioactive compounds in fermented foods: Health benefits, safety, and future perspectives. Appl. Food Res.. 2025 doi:10.1016/j.afres.2025.101097
- Dini I.. Probiotics and Fermented Foods in Human Nutrition. Molecules. 2026 doi:10.3390/molecules31081353 PubMed
- Park I., Mannaa M.. Fermented Foods as Functional Systems: Microbial Communities and Metabolites Influencing Gut Health and Systemic Outcomes. Foods. 2025 doi:10.3390/foods14132292 PubMed
- Obafemi Y.D., Oranusi S.U., Ajanaku K.O., Akinduti P.A., Leech J., Cotter P.D.. African fermented foods: Overview, emerging benefits, and novel approaches to microbiome profiling. npj Sci. Food. 2022 doi:10.1038/s41538-022-00130-w PubMed
- Ghosh S., Bornman C., Meskini M., Joghataei M.. Microbial Diversity in African Foods and Beverages: A Systematic Assessment. Curr. Microbiol.. 2024 doi:10.1007/s00284-023-03481-z PubMed
- Zhang P.. Influence of Foods and Nutrition on the Gut Microbiome and Implications for Intestinal Health. Int. J. Mol. Sci.. 2022 doi:10.3390/ijms23179588 PubMed
- Singh V., Lee G., Son H., Amani S., Baunthiyal M., Shin J.-H.. Anti-diabetic prospects of dietary bio-actives of millets and the significance of the gut microbiota: A case of finger millet. Front. Nutr.. 2022 doi:10.3389/fnut.2022.1056445 PubMed
- Bassey S.O., Chinma C.E., Ezeocha V.C., Adedeji O.E., Jolayemi O.S., Alozie-Uwa U.C. et al. Nutritional and physicochemical changes in two varieties of fonio (Digitaria exilis and Digitaria iburua) during germination. Heliyon. 2023 doi:10.1016/j.heliyon.2023.e17452 PubMed
- Cele N.P., Kewuyemi Y.O., Adiamo O., Bobasa E.M., Zhang J., Seididamyeh M. et al. Probiotic Lactic Acid Bacteria-Fermented Beverages from Bambara Groundnut and Cowpea Sprouts Modulate Gut Microbiota and Short-Chain Fatty Acids. Foods. 2026 doi:10.3390/foods15071141 PubMed
- Madodé Y.E., Nout M.J.R., Bakker E.-J., Linnemann A.R., Hounhouigan D.J., van Boekel M.A.J.S.. Enhancing the digestibility of cowpea (Vigna unguiculata) by traditional processing and fermentation. LWT Food Sci. Technol.. 2013 doi:10.1016/j.lwt.2013.04.010
- Guzzetti L., Panzeri D., Ulaszewska M., Sacco G., Forcella M., Fusi P. et al. Assessment of Dietary Bioactive Phenolic Compounds and Agricultural Sustainability of an African Leafy Vegetable Corchorus olitorius L.. Front. Nutr.. 2021 doi:10.3389/fnut.2021.667812 PubMed
- Ohaegbu C.G., Ngene A.C., Asuquo U.I., Coulthard O.D., Nwachukwu E.. Characterization and antimicrobial activities of lactic acid bacteria isolated from selected Nigerian traditional fermented foods. Afr. J. Biotechnol.. 2022 doi:10.5897/AJB2021.17450
- Olonisakin O.O., Jeff-Agboola Y.A., Ogidi C.O., Akinyele B.J.. Isolation of Antifungal Lactic Acid Bacteria (LAB) from “Kunu” against Toxigenic Aspergillus flavus. Prev. Nutr. Food Sci.. 2017 doi:10.3746/pnf.2017.22.2.138 PubMed
- Xiang H., Sun-Waterhouse D., Waterhouse G.I.N., Cui C., Ruan Z.. Fermentation-enabled wellness foods: A fresh perspective. Food Sci. Hum. Wellness. 2019 doi:10.1016/j.fshw.2019.08.003
- Borrello K., Lim U., Park S.-Y., Monroe K.R., Maskarinec G., Boushey C.J. et al. Dietary Intake Mediates Ethnic Differences in Gut Microbial Composition. Nutrients. 2022 doi:10.3390/nu14030660 PubMed
- Wastyk H.C., Fragiadakis G.K., Perelman D., Dahan D., Merrill B.D., Yu F.B. et al. Gut-microbiota-targeted diets modulate human immune status. Cell. 2021 doi:10.1016/j.cell.2021.06.019 PubMed
- Ghosh-Jerath S., Kapoor R., Srivastava R., Jadhav K., Ghosh A., Nair S.C. et al. ChAracterizing, Revlving, Supporting, Monitoring and MAnaging sustainable food systems to address malnutrition in Indigenous tribal communities (CARISMMA): Exploring food systems and its drivers to develop multisectoral data-driven solutions. A study prot. BMC Public Health. 2026 doi:10.1186/s12889-026-27030-y PubMed
- Alakeji T.P., Banwo K., Ogunremi O.R., Sanni A.I.. Functional Properties of Yeasts Isolated from Some Nigerian Traditional Fermented Foods. J. Microbiol. Biotechnol. Food Sci.. 2015 doi:10.15414/jmbfs.2015.4.5.437-441
- Owusu-Kwarteng J., Akabanda F., Nielsen D.S., Tano-Debrah K., Glover R.L.K., Jespersen L.. Identification of lactic acid bacteria isolated during traditional fura processing in Ghana. Food Microbiol.. 2012 doi:10.1016/j.fm.2012.04.010 PubMed
- Golly K.M., Doku E.T., Amponsah A.S., Kyei P., Gyadua C.. Microbial Diversity, Nutritional Composition, and Health Implications of Fermented Locust Bean Seed (Dawadawa) From Ghana. Int. J. Food Sci.. 2025 doi:10.1155/ijfo/8444101 PubMed
- Ilango S., Antony U.. Probiotic microorganisms from non-dairy traditional fermented foods. Trends Food Sci. Technol.. 2021 doi:10.1016/j.tifs.2021.05.034
- Mafe A.N., Makut M.D., Owuna J.E., Nkene I.H., Edo G.I., Salisu S.M. et al. Development, functional profiling, and probiotic evaluation of indigenous LAB from Nigerian fermented foods: Antimicrobial mechanisms, in vivo validation, and applications in food preservation and mycotoxin risk reduction. World J. Microbiol. Biotechnol.. 2026 doi:10.1007/s11274-026-05051-4 PubMed
- Bustos A.Y., Varzakas T.. From Ancient Fermentation to Modern Functional Foods: Food Microbiology and Biotechnology at the Interface of Tradition and Innovation. Appl. Sci.. 2026 doi:10.3390/app16115510
- Alebidi S., Mallek H., Fragasso M., Capozzi V., Abidi F., Essid I. et al. Exploring the Diversity and Applications of Lactic Acid Bacteria from Tunisian Traditional Fermented Foods. Microorganisms. 2026 doi:10.3390/microorganisms14020383 PubMed
- Mafe A.N., Büsselberg D.. Microbiome–mycotoxin interactions and probiotic strategies: Implications for gut health and cancer. Front. Nutr.. 2026 doi:10.3389/fnut.2026.1783295 PubMed
- Żółkiewicz J., Marzec A., Ruszczyński M., Feleszko W.. Postbiotics—A Step Beyond Pre- and Probiotics. Nutrients. 2020 doi:10.3390/nu12082189 PubMed
- Robertson R.C., Edens T.J., Carr L., Mutasa K., Gough E.K., Evans C. et al. The gut microbiome and early-life growth in a population with high prevalence of stunting. Nat. Commun.. 2023 doi:10.1038/s41467-023-36135-6 PubMed
- Antonetti L., Berrilli F., Cardellini M., Federici M., D’Alfonso R.. Human Gut Microbiota Profiles Related to Mediterranean and West African Diets and Association with Blastocystis Subtypes. Nutrients. 2025 doi:10.3390/nu17182950 PubMed
- Sreenikitha K., Das S., Andrighetti T., Sudhakar P.. Comparative study of the gut microbiomes between Western and Indigenous cultures—Implications for health and disease. Microbe. 2025 doi:10.1016/j.microb.2025.100310
- Christian A.K., Afful-Dadzie E., Marquis G.S.. Infant and young child feeding practices are associated with childhood anaemia and stunting in sub-Saharan Africa. BMC Nutr.. 2023 doi:10.1186/s40795-022-00667-9 PubMed
- Skillington O., Mills S., Gupta A., Mayer E.A., Gill C.I.R., Del Rio D. et al. The contrasting human gut microbiota in early and late life and implications for host health and disease. Nutr. Health Aging. 2021 doi:10.3233/NHA-210129
- Bruce C.Y., Shanmuganathan M., Azab S.M., Simons E., Mandhane P., Turvey S.E. et al. The Relationship Between Diet, Gut Microbiota, and Serum Metabolome of South Asian Infants at 1 Year. J. Nutr.. 2023 doi:10.1016/j.tjnut.2022.12.016 PubMed
- Liu Z., Fan Y.-M., Ashorn P., Chingwanda C., Maleta K., Hallamaa L. et al. Lack of Associations between Environmental Exposures and Environmental Enteric Dysfunction among 18-Month-Old Children in Rural Malawi. Int. J. Environ. Res. Public Health. 2022 doi:10.3390/ijerph191710891 PubMed
- Taha Z., Garemo M., Nanda J.. Complementary feeding practices among infants and young children in Abu Dhabi, United Arab Emirates. BMC Public Health. 2020 doi:10.1186/s12889-020-09393-y PubMed
- Gasparre N., Mefleh M., Boukid F.. Nutritional Facts and Health/Nutrition Claims of Commercial Plant-Based Infant Foods: Where Do We Stand?. Plants. 2022 doi:10.3390/plants11192531 PubMed
- Maghini D.G., Oduaran O.H., Olubayo L.A.I., Cook J.A., Smyth N., Mathema T. et al. Expanding the human gut microbiome atlas of Africa. Nature. 2025 doi:10.1038/s41586-024-08485-8 PubMed
- Obafemi Y.D., Ajayi A.A., Adebayo H.A., Oyewole O.A., Olumuyiwa E.O.. The role of indigenous Nigerian fermented agrifoods in enhancing good health and well-being. Discov. Food. 2024 doi:10.1007/s44187-024-00206-4
- Adesemoye E.T., Sanni A.I., Spano G., Capozzi V., Fragasso M.. Lactic Acid Bacteria Diversity in Fermented Foods as Potential Bio-Resources Contributing to Alleviate Malnutrition in Developing Countries: Nigeria as a Case Study. Fermentation. 2025 doi:10.3390/fermentation11020103
- Crane R.J., Parker E.P.K., Fleming S., Gwela A., Gumbi W., Ngoi J.M. et al. Cessation of exclusive breastfeeding and seasonality, but not small intestinal bacterial overgrowth, are associated with environmental enteric dysfunction: A birth cohort study amongst infants in rural Kenya. eClinicalMedicine. 2022 doi:10.1016/j.eclinm.2022.101403 PubMed
- Gudeta A.N., Aronsson C.A., Balcha T.T., Agardh D.. Complementary Feeding Habits in Children Under the Age of 2 Years Living in the City of Adama in the Oromia Region in Central Ethiopia: Traditional Ethiopian Food Study. Front. Nutr.. 2021 doi:10.3389/fnut.2021.672462 PubMed
- Abizari A.-R., Ali Z., Essah C.N., Agyeiwaa P., Amaniampong M.. Use of commercial infant cereals as complementary food in infants and young children in Ghana. BMC Nutr.. 2017 doi:10.1186/s40795-017-0191-x PubMed
- Oduaran O.H., Tamburini F.B., Sahibdeen V., Brewster R., Gómez-Olivé F.X., Kahn K. et al. Gut microbiome profiling of a rural and urban South African cohort reveals biomarkers of a population in lifestyle transition. BMC Microbiol.. 2020 doi:10.1186/s12866-020-02017-w PubMed
- Khayeka-Wandabwa C., Choge J.K., Linnemann A.R., Schoustra S.. Linking Fermented Foods to Microbial Composition and Valorisation: Blueprint for Kenya. Food Rev. Int.. 2024 doi:10.1080/87559129.2024.2355992
- Larroya A., Pantoja J., Codoñer-Franch P., Cenit M.C.. Towards Tailored Gut Microbiome-Based and Dietary Interventions for Promoting the Development and Maintenance of a Healthy Brain. Front. Pediatr.. 2021 doi:10.3389/fped.2021.705859 PubMed
- Biagioli V., Matera M., Cavecchia I., Illiceto M., Pennazzi L., Luongo G. et al. Beyond breastfeeding: A One Health Decalogue for nurturing the infant microbiota. Front. Nutr.. 2026 doi:10.3389/fnut.2026.1784544 PubMed
- Mwesigwa C.L., Naidoo S.. Consumption frequency of ultra-processed foods and beverages among 6- to 36-month-olds in Kampala, Uganda. Matern. Child Nutr.. 2025 doi:10.1111/mcn.13724 PubMed
- Lepre B., Trigueiro H., Johnsen J.T., Khalid A.A., Ball L., Ray S.. Global architecture for the nutrition training of health professionals: A scoping review and blueprint for next steps. BMJ Nutr. Prev. Health. 2022 doi:10.1136/bmjnph-2021-000354 PubMed
- Lopes C.V.A., de Sousa Alves Neri J.L., Hunter J., Ronto R., Mihrshahi S.. Interventions and Programs Using Native Foods to Promote Health: A Scoping Review. Nutrients. 2024 doi:10.3390/nu16234222 PubMed
- Janmohamed A., Sohani N., Lassi Z., Bhutta Z.. The Effects of Community Home Visit and Peer Group Nutrition Intervention Delivery Platforms on Nutrition Outcomes in Low and Middle-Income Countries: A Systematic Review and Meta-Analysis. Nutrients. 2020 doi:10.3390/nu12020440 PubMed
- Kpebo D., Coulibaly A., Yameogo W.M.E., Bijou S., Hamidou Lazoumar R., Tougri H. et al. Effect of integrating maternal and child health services, nutrition and family planning services on postpartum family planning uptake at 6 months post-partum in Burkina Faso, Cote d’Ivoire and Niger: A quasi-experimental study protocol. Reprod. Health. 2022 doi:10.1186/s12978-022-01467-x PubMed
- Mustapha A.Y., Kolawole T.O., Mbata A.O., Tomoh B.O., Forkuo A.Y., Kelvin-Agwu M.C.. Leveraging Mobile Health (mHealth) Applications for Improving Maternal and Child Health Outcomes: A Cross-Regional Study. J. Front. Multidiscip. Res.. 2024 doi:10.54660/.IJFMR.2024.5.1.70-86
- Arshad M.T., Ali M.K.M., Maqsood S., Ikram A., Ahmed F., Aljameel A.I. et al. Personalized Nutrition in the Era of Digital Health: A New Frontier for Managing Diabetes and Obesity. Food Sci. Nutr.. 2025 doi:10.1002/fsn3.71006 PubMed
- Cuparencu C., Diener C., Wilson T., Gibbons S.M., Lucassen D.A.. Integration of modern technologies to advance dietary assessment. Nat. Food. 2026 doi:10.1038/s43016-025-01290-0 PubMed
- Acho M.A., Olusoji P.F.. A Review on the Interactive Role of Microbial Gut and African Diets on Human Health Status. NIPES J. Sci. Technol. Res.. 2025 doi:10.37933/nipes/7.4.2025.SI279
- Elechi J.O.G., Sirianni R., Conforti F.L., Cione E., Pellegrino M.. Food System Transformation and Gut Microbiota Transition: Evidence on Advancing Obesity, Cardiovascular Diseases, and Cancers—A Narrative Review. Foods. 2023 doi:10.3390/foods12122286 PubMed
- Choi Y., Hoops S.L., Thoma C.J., Johnson A.J.. A Guide to Dietary Pattern–Microbiome Data Integration. J. Nutr.. 2022 doi:10.1093/jn/nxac033 PubMed
- Anwar M.Z., Prieto M.D., Hsiao W.W.L.. Bioinformatics roadmap for characterizing the gut microbiome to study its interactions and associations with the gut mucosal immune system. Mucosal Immunol.. 2026 doi:10.1016/j.mucimm.2026.100375 PubMed
- Fonseca D.C., Fernandes G.d.R., Waitzberg D.L.. Artificial intelligence and human microbiome: A brief narrative review. Clin. Nutr. Open Sci.. 2025 doi:10.1016/j.nutos.2024.12.009
- Marcos-Zambrano L.J., Karaduzovic-Hadziabdic K., Loncar Turukalo T., Przymus P., Trajkovik V., Aasmets O. et al. Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment. Front. Microbiol.. 2021 doi:10.3389/fmicb.2021.634511 PubMed
- Li N., Li G., Huang X., Ma L., Wang D., Luo Y. et al. Large-scale multi-omics unveils host–microbiome interactions driving root development and nitrogen acquisition. Nat. Plants. 2026 doi:10.1038/s41477-025-02210-7 PubMed
- Aguiar-Pulido V., Huang W., Suarez-Ulloa V., Cickovski T., Mathee K., Narasimhan G.. Metagenomics, Metatranscriptomics, and Metabolomics Approaches for Microbiome Analysis. Evol. Bioinform.. 2016 doi:10.4137/EBO.S36436 PubMed
- Cunningham M., Azcarate-Peril M.A., Barnard A., Benoit V., Grimaldi R., Guyonnet D. et al. Shaping the Future of Probiotics and Prebiotics. Trends Microbiol.. 2021 doi:10.1016/j.tim.2021.01.003 PubMed
- Duhan P., Gupta B., Ahmed M., Bansal P.. Gut microbiome engineering with probiotics: Current trends and future directions. Discov. Appl. Sci.. 2025 doi:10.1007/s42452-025-07622-w
- Theodore Armand T.P., Nfor K.A., Kim J.-I., Kim H.-C.. Applications of Artificial Intelligence, Machine Learning, and Deep Learning in Nutrition: A Systematic Review. Nutrients. 2024 doi:10.3390/nu16071073 PubMed
- Boudar Z., Sehli S., El Janahi S., Al Idrissi N., Hamdi S., Dini N. et al. Metagenomics Approaches to Investigate the Neonatal Gut Microbiome. Front. Pediatr.. 2022 doi:10.3389/fped.2022.886627 PubMed
- Roach J., Mital R., Haffner J.J., Colwell N., Coats R., Palacios H.M. et al. Microbiome metabolite quantification methods enabling insights into human health and disease. Methods. 2024 doi:10.1016/j.ymeth.2023.12.007 PubMed
- Miao M., Yu F., Wang D., Tong Y., Yang L., Xu J. et al. Proteomics Profiling of Host Cell Response via Protein Expression and Phosphorylation upon Dengue Virus Infection. Virol. Sin.. 2019 doi:10.1007/s12250-019-00131-2 PubMed
- Butowski C.F., Dixit Y., Reis M.M., Mu C.. Metatranscriptomics for Understanding the Microbiome in Food and Nutrition Science. Metabolites. 2025 doi:10.3390/metabo15030185 PubMed
- Jardon K.M., Canfora E.E., Goossens G.H., Blaak E.E.. Dietary macronutrients and the gut microbiome: A precision nutrition approach to improve cardiometabolic health. Gut. 2022 doi:10.1136/gutjnl-2020-323715 PubMed
- Woodworth M.H., Sitchenko K.L., Carpentieri C., Friedman-Moraco R.J., Wang T., Kraft C.S.. Ethical Considerations in Microbial Therapeutic Clinical Trials. New Bioeth.. 2017 doi:10.1080/20502877.2017.1387386 PubMed
- Linseisen J., Renner B., Gedrich K., Wirsam J., Holzapfel C., Lorkowski S. et al. Data in Personalized Nutrition: Bridging Biomedical, Psycho-behavioral, and Food Environment Approaches for Population-wide Impact. Adv. Nutr.. 2025 doi:10.1016/j.advnut.2025.100377 PubMed
- Churin A.A., Sokolyanskaya L.O., Lukina A.P., Karnachuk O.V.. Current Concepts in Probiotic Safety and Efficacy. Nutrients. 2026 doi:10.3390/nu18040696 PubMed
- Barreto I.R., Eugénio A., Cristóvão M., Rodrigues F., Santo C.E., Brandão I.. From Food Systems to Gut Microbiota: Dietary Substrates, Microbial Exposure and One Health. Microorganisms. 2026 doi:10.3390/microorganisms14071482 PubMed
- Mazzocchi A., Sinarinzi P., Agostoni C., Berti C.. Sustainable complementary feeding in low-resource countries: Bridging global recommendations and local food systems. Front. Sustain. Food Syst.. 2026 doi:10.3389/fsufs.2026.1818978
- McGuire S.. World Health Organization. Comprehensive Implementation Plan on Maternal, Infant, and Young Child Nutrition. Geneva, Switzerland, 2014. Adv. Nutr.. 2015 doi:10.3945/an.114.007781 PubMed
- Bell V., Ferrão J., Fernandes T.. Nutritional Guidelines and Fermented Food Frameworks. Foods. 2017 doi:10.3390/foods6080065 PubMed
- Sachs R.E., Edelstein C.A.. Ensuring the safe and effective FDA regulation of fecal microbiota transplantation. J. Law Biosci.. 2015 doi:10.1093/jlb/lsv032 PubMed
- Ververis E., Ackerl R., Azzollini D., Colombo P.A., de Sesmaisons A., Dumas C. et al. Novel foods in the European Union: Scientific requirements and challenges of the risk assessment process by the European Food Safety Authority. Food Res. Int.. 2020 doi:10.1016/j.foodres.2020.109515 PubMed
- Okoye C.U., Orede V.O., Oladeji O.E., Olatunde T.S., Idriss I.H., Aifuobhokhan J. et al. Policy implementation barriers and the effectiveness of maternal and child nutrition programs in low-resource settings. Discov. Public Health. 2026 doi:10.1186/s12982-026-01353-y
- Guglielmetti S., Boyte M.-E., Smith C.L., Ouwehand A.C., Paraskevakos G., Younes J.A.. Commercial and regulatory frameworks for postbiotics: An industry-oriented scientific perspective for non-viable microbial ingredients conferring beneficial physiological effects. Trends Food Sci. Technol.. 2025 doi:10.1016/j.tifs.2025.105130
- Chehab R.F., Cross T.-W.L., Forman M.R.. The Gut Microbiota: A Promising Target in the Relation between Complementary Feeding and Child Undernutrition. Adv. Nutr.. 2021 doi:10.1093/advances/nmaa146 PubMed
- Trofin F., Badescu A.C., Iancu L.S., Buzila E.R., Anton-Păduraru D.-T., Sima C.M. et al. Seeding the Future: How Feeding Mode Shapes the Infant Gut Microbiota. Microorganisms. 2026 doi:10.3390/microorganisms14030719 PubMed
- Fontaine F., Turjeman S., Haib M., Collado M.C., Callens K., Koren O.. Programming the Infant Gut: How Maternal and Early Life Nutrition Shape the Infant Microbiome and Long-term Health—A Narrative Review. Mol. Nutr. Food Res.. 2026 doi:10.1002/mnfr.70385 PubMed
- Nascimento A.P.S., Barros A.N.. Sustainable Innovations in Food Microbiology: Fermentation, Biocontrol, and Functional Foods. Foods. 2025 doi:10.3390/foods14132320 PubMed
- Jain S., Chatterjee A., Panwar S., Yadav A.K., Majumdar R.S., Kumar A.. Indigenous Fermented Foods as a Potential Source of Probiotic Foods. Advances in Probiotics for Sustainable Food and Medicine. 2021 doi:10.1007/978-981-15-6795-7_3
- Sharn A.R., Oliveros E., Lai S., Sanchez C.P., Villa-Real Guno M.J., Rojas Montenegro C.. Multi-faceted nutritional interventions are imperative to reduction of stunting among children in low- and middle-income countries. Front. Nutr.. 2025 doi:10.3389/fnut.2025.1479850 PubMed
- Rozera T., Pasolli E., Segata N., Ianiro G.. Machine Learning and Artificial Intelligence in the Multi-Omics Approach to Gut Microbiota. Gastroenterology. 2025 doi:10.1053/j.gastro.2025.02.035 PubMed
- Kumar A., Xu C., Dakal T.C.. Microbiome based precision medicine through integrated multiomics and machine learning. Microbiol. Res.. 2026 doi:10.1016/j.micres.2025.128384 PubMed
- Asefa Z., Belay A., Welelaw E., Haile M.. Postbiotics and their biotherapeutic potential for chronic disease and their feature perspective: A review. Front. Microbiomes. 2025 doi:10.3389/frmbi.2025.1489339 PubMed
- Armand T.P.T., Kim H.-C., Kim J.-I.. Digital Anti-Aging Healthcare: An Overview of the Applications of Digital Technologies in Diet Management. J. Pers. Med.. 2024 doi:10.3390/jpm14030254 PubMed
- Jabeen T., Karimi F., Zomorrodi A.R., Khalilpour K.. Microbiome-based disease prediction with artificial intelligence: A systematic review. Array. 2026 doi:10.1016/j.array.2026.100910
- Muller E., Shiryan I., Borenstein E.. Multi-omic integration of microbiome data for identifying disease-associated modules. Nat. Commun.. 2024 doi:10.1038/s41467-024-46888-3 PubMed
- Mafe A.N., Sharifi-Rad J., Calina D., Ogunyemi A.J., Tubi A.O.. Postbiotics in Functional Foods: Microbial Derivatives Shaping Health, Immunity and Next-Generation Nutrition. Food Front.. 2026 doi:10.1002/fft2.70205
- Mehta S., Huey S.L., Fahim S.M., Sinha S., Rajagopalan K., Ahmed T. et al. Advances in artificial intelligence and precision nutrition approaches to improve maternal and child health in low resource settings. Nat. Commun.. 2025 doi:10.1038/s41467-025-62985-3 PubMed
- Goldiș A., Dragomir R., Mercioni M.A., Goldiș C., Sirca D., Enatescu I. et al. Introducing a Novel Personalized Microbiome-Based Treatment for Inflammatory Bowel Disease: Results from NostraBiome’s Internal Validation Study. Biomedicines. 2025 doi:10.3390/biomedicines13040795 PubMed
- Patil S.R., Nimmagadda S., Gopalakrishnan L., Avula R., Bajaj S., Diamond-Smith N. et al. Can digitally enabling community health and nutrition workers improve services delivery to pregnant women and mothers of infants? Quasi-experimental evidence from a national-scale nutrition programme in India. BMJ Glob. Health. 2022 doi:10.1136/bmjgh-2021-007298 PubMed
- Diacova T., Cifelli C.J., Davis C.D., Holscher H.D., Kable M.E., Lampe J.W. et al. Best Practices and Considerations for Conducting Research on Diet–Gut Microbiome Interactions and Their Impact on Health in Adult Populations: An Umbrella Review. Adv. Nutr.. 2025 doi:10.1016/j.advnut.2025.100419 PubMed
- Manghi P., Antonello G., Schiffer L., Golzato D., Wokaty A., Beghini F. et al. Meta-analysis of 22,710 human microbiome metagenomes defines an oral-to-gut microbial enrichment score and associations with host health and disease. Nat. Commun.. 2025 doi:10.1038/s41467-025-66888-1 PubMed
- Kasmanas J.C., Magnúsdóttir S., Zhang J., Smalla K., Schloter M., Stadler P.F. et al. Integrating comparative genomics and risk classification by assessing virulence, antimicrobial resistance, and plasmid spread in microbial communities with gSpreadComp. Gigascience. 2025 doi:10.1093/gigascience/giaf072 PubMed
- Pattapulavar V., Ramanujam S., Kini B., Christopher J.G.. Probiotic-derived postbiotics: A perspective on next-generation therapeutics. Front. Nutr.. 2025 doi:10.3389/fnut.2025.1624539 PubMed
- Uhegwu C.C., Anumudu C.K.. Probiotic Potential of Traditional and Emerging Microbial Strains in Functional Foods: From Characterization to Applications and Health Benefits. Microorganisms. 2025 doi:10.3390/microorganisms13112521 PubMed
- Zhang L., Liu Y., Wang S., Ching J.Y., Tam W.H., Leung T.F. et al. MOMMY study profile: An integrative early-life multi-omics cohort in China. IMetaOmics. 2025 doi:10.1002/imo2.70068 PubMed
- Mundt C., Yusufoğlu B., Kudenko D., Mertoğlu K., Esatbeyoglu T.. Driven Personalized Nutrition: Integrating Omics, Ethics, and Digital Health. Mol. Nutr. Food Res.. 2025 doi:10.1002/mnfr.70293 PubMed
- Tomasulo A., Simionati B., Facchin S.. Microbiome One Health model for a healthy ecosystem. Sci. One Health. 2024 doi:10.1016/j.soh.2024.100065 PubMed