Abstract
The respiratory tract microbiome, a complex ecosystem of microorganisms colonizing the respiratory mucous layers and epithelial surfaces along with their associated microenvironment, plays a vital role in maintaining respiratory function and promoting the maturation of the respiratory immune system. Current research suggests that environmental changes can disrupt the respiratory microbiota, potentially leading to disease. This review summarizes existing research on the impact of environmental factors on the respiratory microbiome and associated diseases, aiming to offer new insights into the prevention and treatment of respiratory disease.
Key points
- The respiratory tract microbiome, a complex ecosystem of microorganisms colonizing the respiratory mucous layers and epithelial surfaces along with their associated microenvironment, plays a vital role in maintaining respiratory function and promoting the maturation of the respiratory immune system.
- Current research suggests that environmental changes can disrupt the respiratory microbiota, potentially leading to disease.
- This review summarizes existing research on the impact of environmental factors on the respiratory microbiome and associated diseases, aiming to offer new insights into the prevention and treatment of respiratory disease.
Sentences taken unchanged from the authors’ abstract, as a reading aid. Not a new analysis and not medical advice.
In this article
- Introduction: The respiratory microbiome is a multi-kingdom microbial ecosystem inhabiting the respiratory tract mucosal layer and epithelial surfaces, from the nasal cavity to the alveoli, along with the microenvironment on which these microorganisms depend [1]. The normal respiratory microbiota serves as a barrier against pathogenic microorganisms entering the lungs, and is essential for maintaining the health…
- The composition of the respiratory microbiome: The respiratory system is crucial for gas exchange between the human body and the external environment. Historically, the lower respiratory tract was considered sterile.
- Relationship between respiratory microbiome alterations and respiratory diseases: The stability of the respiratory microbiome is crucial for maintaining normal respiratory function and facilitating the maturation of the neonatal immune system [5]. Normal respiratory microbiota aids in pathogen clearance, regulates host immune cell functions [15], and prevents pathogen colonization through competitive exclusion or the production of inhibitory substances [13].
- Conclusion and outlook: As global warming intensifies and air pollution worsens, the impact of environmental factors on health is gaining increasing attention. The respiratory tract is directly exposed to atmospheric physical and chemical parameters, making it a keyway through which environmental factors affect human health.
Opening sentences of each section, unchanged.
Introduction
The respiratory microbiome is a multi-kingdom microbial ecosystem inhabiting the respiratory tract mucosal layer and epithelial surfaces, from the nasal cavity to the alveoli, along with the microenvironment on which these microorganisms depend [1]. The normal respiratory microbiota serves as a barrier against pathogenic microorganisms entering the lungs, and is essential for maintaining the health of the respiratory system [2, 3]. When the respiratory microbiome becomes imbalanced and microbial diversity decreases, it can trigger or exacerbate respiratory diseases [4]. Due to the direct connection of the respiratory tract to the external environment, the respiratory microbiota is exposed to various environmental factors. Although some environmental factors have been found to potentially affect the stability and diversity of the respiratory microbiota, comprehensive systematic research remains limited. This review aims to summarize current research on the impact of environmental factors on the respiratory microbiome and related diseases, with the goal of providing new insights for the prevention and treatment of respiratory diseases.
The literature search for this study was conducted in the following databases: PubMed, Web of Science, and Google Scholar. The search period spanned from January 2010 to February 2025, with the search terms including:
The criteria for literature screening were: (i) the research was original (such as clinical trials, cohort studies, and case–control studies); (ii) it addressed the influence of the microbiota on lung health or diseases; (iii) the articles appeared in peer-reviewed journals. We excluded case reports and studies of lower quality (such as those with insufficient sample sizes or inadequate methodologies). All the literature was screened and quality-assessed by two independent researchers, with a total of 94 studies ultimately included. We qualitatively analyzed these studies, focusing on discussing their similarities and differences, and proposed the potential role of the microbiome in pulmonary health.
The composition of the respiratory microbiome
The respiratory system is crucial for gas exchange between the human body and the external environment. Historically, the lower respiratory tract was considered sterile. However, advances in genetic technologies and the widespread use of high-throughput sequencing have gradually revealed the presence of microbial communities in the lower respiratory tract and lungs. Colonization of the respiratory microbiota begins shortly after birth, with bacterial DNA detectable in tracheal aspirates from newborns within 24 h [5].
The respiratory tract is divided into the upper and lower sections, with the cricoid cartilage serving as the boundary. The upper respiratory tract includes the nasal cavity, paranasal sinuses, pharynx, and the supraglottic portion of the larynx, while the lower respiratory tract comprises the trachea, bronchi, bronchioles, respiratory bronchioles, alveolar ducts, and alveoli. The upper respiratory tract is continuously exposed to the external environment, lacking physical barriers, and its microbial composition directly impacts respiratory health. The microbiota of the oropharynx and nasopharynx share similarities, particularly at birth, when both are predominantly colonized by Streptococcus [6]. By one week postpartum, the nasopharynx is predominantly colonized by Moraxella and Haemophilus. By one month, the nasopharyngeal microbiome exhibits a high abundance of Moraxella, Staphylococcus, Streptococcus, Corynebacterium, and Haemophilus [7, 8]. However, the oropharyngeal microbiota tends to remain relatively stable over time, predominantly consisting of Streptococcus [6]. Additionally, the oropharyngeal microbiome also comprises Neisseria, Prevotella, Veillonella, and Haemophilus [7–9].
Current research indicates that the microbiota of the upper and lower respiratory tracts exhibits a high degree of homology. The microbiota of the lower respiratory tract primarily originates from the oropharynx, migrating to the lower respiratory tract via aspiration. However, the lower respiratory tract microbiota possesses distinct characteristics [10, 11]. The lung microbiome is predominantly composed of Proteus, Prevotella, Streptococcus, and Veillonella [12–14].
Relationship between respiratory microbiome alterations and respiratory diseases
The stability of the respiratory microbiome is crucial for maintaining normal respiratory function and facilitating the maturation of the neonatal immune system [5]. Normal respiratory microbiota aids in pathogen clearance, regulates host immune cell functions [15], and prevents pathogen colonization through competitive exclusion or the production of inhibitory substances [13]. An imbalance in the normal composition of the respiratory microbiota can lead to immune dysfunction, potentially triggering or exacerbating respiratory diseases [16–20]. Recent research has confirmed substantial differences in the lung microbiome between individuals with prevalent respiratory diseases and healthy controls, aberrant microbial populations (dysbiosis) have been confirmed in many prevalent lung diseases that are traditionally not considered to be of microbial origin [2, 21].
Chronic obstructive pulmonary disease (COPD)
Compared with the healthy control group, stable COPD patients showed a decrease in pulmonary microbiota diversity, characterized by an increased presence of Moraxella, Streptococcus, Veillonella and Prevotella [22–24], while those experiencing acute exacerbations of COPD exhibited elevated levels of Pseudomonas aeruginosa and Klebsiella pneumoniae in their lung microbiome [25, 26].
A prospective study of 101 patients with the exacerbation of COPD revealed that there was an increased abundance of Haemophilus, whereas the abundances of Prevotella and Veillonella decreased [27]. A cross-sectional study of 72 COPD patients revealed that airflow obstruction correlated with an elevated relative abundance of Pseudomonas in the sputum [28].
A study investigating the association between COPD severity and changes in the microbiome revealed that as the disease advanced and ventilatory function progressively worsened, the microbial diversity in the sputum of advanced COPD patients diminished, with the main microbial phyla comprising Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidota [29].
A multivariate modeling analysis of sputum microbiome, host transcriptome, and proteome data demonstrated that in the host-microbiome interplay within the airways of COPD patients, Moraxella and Haemophilus were predominantly involved in linking host interferon and pro-inflammatory signaling pathways with neutrophil inflammation [23].
Distinct respiratory tract microbiota have also been confirmed among various inflammatory endotypes of COPD. A study that analyzed sputum samples from 510 subjects revealed that the respiratory tract microbiome in neutrophilic COPD was heterogeneous. One subgroup is characterized by a predominance of Haemophilus. Another subgroup represents a neutrophilic subgroup characterized by a balanced microbial composition [30]. A cohort study involving 87 COPD patients demonstrated an association between neutrophilic inflammation and elevated Moraxella levels in sputum samples [31]. Analysis of a 43-subject cohort identified positive correlations between neutrophilic predominance and increased sputum abundances of Haemophilus and Neisseria [23]. Neutrophilic inflammation exhibited lower microbial diversity compared to other COPD inflammatory endotypes [32]. Conversely, eosinophilic inflammation in COPD correlated with reduced bacterial infections and enhanced lung microbiota diversity [28, 30–34]. Therefore, inflammation-specific alterations in respiratory microbiota composition may serve as viable biomarkers to track and anticipate inflammatory phenotypes in COPD patients.
Nonetheless, a study examining whether the lower respiratory tract microbiome composition could forecast the risk of future exacerbations in COPD patients found that the relative abundance of various microbial communities displayed considerable variability among samples and individuals, and that the individual differences in the lower respiratory tract microbiome were far greater than the differences between frequent and infrequent exacerbators [35]. Consequently, substantial experimental validation is required to determine if the respiratory tract microbiome can be utilized as a biomarker for predicting disease severity and inflammatory states in COPD.
Asthma
Asthma patients demonstrate elevated abundances of Proteus, Haemophilus, Moraxella, and Neisseria in their pulmonary microbiome compared to healthy controls [21, 36–39]. Sputum samples from asthma patients show a higher relative abundance of Neisseria and Proteus and increased microbial diversity, whereas Firmicutes and Actinobacteria dominate in healthy individuals [40]. Actinobacteria abundance is significantly higher in severe asthma patients relative to healthy controls or individuals with mild-to-moderate asthma [41].
Asthmatic children exhibit elevated nasal abundances of Moraxella and Haemophilus compared to healthy controls [42, 43]. A cohort study involving 234 Australian children (2- to 12-month-old) with asthma revealed that their nasopharyngeal microbiome was dominated by Haemophilus, Streptococcus, Moraxella, Alloiococcus, Corynebacterium, and Staphylococcus [44].
Asthma and COPD demonstrate overlapping inflammatory phenotypes (neutrophilic and eosinophilic infiltration) with analogous microbiome profiles. Patients presenting with neutrophilic asthma show reduced microbial diversity in the respiratory microbiome relative to other inflammatory endotypes [31, 38, 45, 46].
In contrast to adults, childhood asthma risk correlates with the composition of the respiratory microbiome during early developmental stages. A prospective cohort study demonstrated that elevated relative abundances of Veillonella and Prevotella in the neonatal respiratory microbiome at 1 month of age are linked to an increased risk of asthma by 6 years [42], increased nasal colonization by Haemophilus and sustained low Moraxella abundance in infancy (0–12 months) are correlated with asthma diagnosis by 7 years of age [47], oropharyngeal Neisseria abundance during the second year of life shows a positive correlation with asthma incidence [48]. Elevated airway bacterial loads in asthmatic children are characterized by suppressed TNF-α/IL-1β production and upregulated CCL2/CCL17 expression [42]. Given that CCL2 and CCL17 serve as independent asthma biomarkers [49], these findings imply microbial-driven immune dysregulation may contribute significantly to asthmatic mechanisms.
Lung cancer
Emerging research highlights the association between lung cancer and chronic inflammatory respiratory conditions, with mounting evidence underscoring the pathological interplay between lung cancer and COPD [50]. Prospective cohort analysis revealed a significant association between pulmonary Veillonella enrichment and adverse clinical outcomes in lung cancer patients [51], highlighting the potential involvement of lung microbiome dysbiosis in tumorigenesis and disease progression.
Patients with lung cancer exhibit elevated abundances of Streptococcus and Prevotella in the lower respiratory tract relative to healthy individuals [52, 53]. Compared to healthy subjects, salivary microbiome profiling of NSCLC patients revealed increased Veillonella colonization and decreased Neisseria abundance [54]. Research indicates that elevated abundances of Streptococcus and Veillonella in cancer patient bronchoalveolar lavage fluid (BALF) correlate with enhanced infiltration of inflammatory cells and activation of the PI3K/ERK signaling axis in bronchial epithelial cells [55]. Another study found that Bacteroidota enrichment in the lower respiratory tract exerts protective effects against lung carcinogenesis [56], compositional shifts in Prevotella, Streptococcus, and Clostridium within the lower airways show significant correlations with the magnitude of localized pulmonary inflammation [57].
Interstitial lung disease
Compared with the healthy control group, patients with interstitial pneumonia exhibited a decreased abundance of Streptococcus in BALF, while the abundance of Prevotella and Veillonella increased [58]. Research has shown that the bacterial burden in BALF from patients with idiopathic pulmonary fibrosis (IPF) exceeds that of healthy controls, with microbial communities like Streptococcus and Staphylococcus linked to accelerated disease progression [59–62]. Consequently, factors affecting the respiratory microbial ecosystem could exert an indirect influence on the development and clinical outcomes of these diseases.
Acute lung injury/acute respiratory distress syndrome (ALI/ARDS)
By constructing a standard ALI murine model through intratracheal LPS administration, researchers observed that Firmicutes, Proteobacteria, and Bacteroidetes in ALI mouse BALF exhibited positive correlations with total cell counts, while Actinobacteria was inversely associated [63]. Accumulating clinical evidence demonstrates marked dysbiosis in the lung microbiota of ALI/ARDS patients [64, 65], which may be mechanistically linked to injury-driven upregulation of inflammation-promoting factors that enhance bacterial proliferation and destabilize the pulmonary microenvironment.
Experimental studies revealed that hyperoxic exposure (FiO2 95%) induced lung microbiota alterations in mice as early as 24 h, preceding the development of hyperoxia-mediated lung injury observed at 72 h post-exposure [66]. This temporal pattern implies potential involvement of airway microbiota in the initiation of ALI/ARDS pathology.
Consequently, factors affecting the respiratory microbial ecosystem could exert an indirect influence on the development and clinical outcomes of these diseases.
The impact of environmental factors on the respiratory microbiome
Environmental temperature and humidity
Variations in ambient temperature can influence the composition of the respiratory microbiome. Wang et al. observed that periodic exposure to elevated environmental temperatures significantly altered the diversity of the respiratory microbiota in 11-week-old healthy Isa brown layer-type pullets. Specifically, the group exposed to 30 °C exhibited a marked increase in Proteobacteria and a concurrent decrease in Firmicutes in BALF compared to the control group maintained at 24 °C [67]. In female mice, concurrent exposure to 1 ppm ozone and a 36 °C thermal environment resulted in a reduction of Firmicutes in BALF, alongside an increase in total protein, tumor necrosis factor-alpha (TNF-α), and 8-hydroxydeoxyguanosine (8-OHdG) levels [68]. High-temperature environments can enhance the proliferation of pathogenic bacteria, including Staphylococcus aureus and Streptococcus pneumoniae, thereby diminishing the diversity of the normal respiratory microbiota. Conversely, low-temperature environments also impact the respiratory microbiota [69]. Clinical studies have indicated that prolonged inhalation of cold air at 26 °C can decrease the abundance of Moraxella species in the pharynx of healthy individuals [70]. Furthermore, rabbits exposed to 4 °C and 20 °C environments demonstrated significant differences in their lung microbiome composition, with a higher prevalence of Proteus at 4 °C compared to 20 °C [69].
The detrimental health implications of prolonged exposure to high temperatures are widely recognized. Additionally, unsuitable environmental humidity levels can adversely impact health, especially when compounded by high temperatures [71]. Studies have demonstrated that under hot and humid conditions, characterized by 31–33 °C with 91–95% relative humidity, the diversity of the gut microbiota in mice is observed to be distinct from that under standard conditions [72]. Within these environments, there is a notable reduction in Firmicutes and a corresponding increase in Bacteroidota in mouse feces [73]. Research investigating changes in oropharyngeal microbiota and their association with environmental conditions among school-aged children in Ivorian demonstrated an inverse relationship between Neisseria abundance and humidity levels [74].
Air pollutants
Environmental pollution is emerging as a critical social issue in contemporary society. Sources such as industrial emissions, vehicular exhaust, combustion of fossil fuels, construction dust, and natural phenomena (e.g., sandstorms) contribute to the production of various air pollutants, including particulate matter (PM2.5, PM10), sulfur dioxide, carbon monoxide, nitrogen oxides, volatile organic compounds (VOCs), and ozone [75]. Research indicates that exposure to elevated concentrations of PM2.5 significantly impacts the lung microbiota in mice, leading to an increased abundance of Bacteroidota and Firmicutes [76]. Prolonged exposure to air pollutants can facilitate the colonization of pathogenic bacteria in the respiratory tract, such as Streptococcus pneumoniae, Haemophilus influenzae, and Moraxella [77]. A study examining the correlation between air pollutants during winter heating periods in northeastern China and respiratory microbiota imbalance revealed that individuals in highly polluted areas exhibited higher relative abundances of Firmicutes and Proteobacteria in their throat swabs compared to those in less polluted regions. Furthermore, as air pollution levels rise, the relative abundance of Fusobacterium and Prevotella species declines [78].
Compound factors
Relative to environmental temperature, seasonal variation represents a more intricate factor, encompassing variations in temperature, precipitation, daylight duration, biodiversity, and human activities. The upper respiratory tract microbiota composition fluctuates across different seasons [79]. Research has indicated that during the fall and winter seasons, the nasopharyngeal abundance of Proteobacteria is elevated in children, whereas Bacteroidota becomes predominant in the spring [80].
The impact of altitude on the human body is also multifaceted. Regions at high altitude are defined by reduced atmospheric pressure, diminished oxygen partial pressure, intense ultraviolet radiation, low temperatures, arid conditions, and powerful winds [81]. The respiratory microbiota under normal circumstances encompasses both aerobic and anaerobic bacteria, which exhibit distinct adaptive mechanisms in response to fluctuating oxygen levels. In hypoxic conditions prevalent at high altitudes, there may be a reduction in the diversity of aerobic bacteria within the respiratory tract [82]. Nonetheless, scientific inquiry into this domain is exceedingly constrained.
Mechanisms of environmental factors affect the respiratory microbiome
Direct effects
Changes in environmental factors can directly influence the proliferation and reproduction of respiratory microorganisms, consequently impacting their prevalence in the respiratory tract. In vitro research has demonstrated that modifications to the culture environment can alter the quantity and vitality of respiratory microorganisms. One study explored the effects of environmental oxygen concentration (anaerobic environment, or aerobic environment provided by catalase) and temperature (30–39 °C) on the growth of multiple Streptococcus pneumoniae strains in vitro. Under aerobic conditions provided by catalase and at temperatures of 30–35 °C (normal nasal cavity temperature), the strains reached maximum density after 24 h of incubation. As the incubation temperature rose, the density of the strains diminished, with the minimum density recorded at temperatures between 37 °C and 39 °C. The majority of strains displayed optimal growth rates at temperatures of 35 °C to 37 °C and exhibited more rapid growth under aerobic conditions compared to anaerobic ones [83]. An additional study determined that the storage temperature of sputum samples significantly influenced the viability of Streptococcus pneumoniae, with a marked decrease in viability observed at 4 °C relative to room temperature [84].
Changes in environmental factors can also affect the virulence of respiratory microorganisms elicit inflammatory responses within the respiratory tract, thereby disrupting the respiratory microenvironment and affecting its stability. Under environmental conditions of 26 °C, the expression of the outer membrane protein UspA1 in Moraxella catarrhalis escalates, which facilitates bacterial adhesion to upper respiratory tract cells, augmenting its virulence and perturbing the normal respiratory microenvironment [85]. At 26 °C, Moraxella also enhances the bacteria-induced release of IL-8, exacerbating the inflammatory response [70].
The gut-lung axis
The gut–lung axis has emerged as a prevalent area of investigation, delineating the intricate interactions between the gut microbiota and pulmonary health, and its pivotal role in modulating immune and inflammatory responses [86]. The BALF of ARDS patients exhibits a high prevalence and abundance of the gut-specific genus Bacteroides, which is linked to the severity of systemic inflammation [65]. Notably, Bacteroides fragilis has been demonstrated to contribute to the prevention of respiratory infections [87, 88]. Evidence has established an association between intestinal microbial changes and the development of asthma [89]. Emerging research has uncovered that the intestinal protozoan Tritrichomonas musculis regulates the lung immune environment, thereby mediating immune reactions associated with allergic airway inflammation and pulmonary infections [90].
Current researches indicate that short-chain fatty acids, produced by the gut microbiota, along with their extracellular vesicles, can permeate the pulmonary system via the circulatory or lymphatic pathways, thereby influencing the pulmonary microenvironment [91, 92]. Moreover, when the intestinal mucosal barrier is disrupted, gut microbiota have the potential to infiltrate the bloodstream or lymphatic system, subsequently reaching the lungs and modulating the composition of the pulmonary microbiota [92]. Persistent exposure to elevated temperatures or intense physical exertion under such conditions can amplify heat stress, intensify oxidative stress within the intestines, impair intestinal epithelial cells and tight junction proteins, and erode the intestinal physical barrier. Consequently, this enables gut bacteria to invade the bloodstream and migrate to the lungs, subsequently impacting the lung microbiome [93]. Nonetheless, comprehensive research focusing on the precise alterations within the gut–lung axis under various environmental conditions and their association with the respiratory microbiome and pulmonary diseases remains sparse.
Conclusion and outlook
As global warming intensifies and air pollution worsens, the impact of environmental factors on health is gaining increasing attention. The respiratory tract is directly exposed to atmospheric physical and chemical parameters, making it a keyway through which environmental factors affect human health. Existing evidence has indicated that environmental temperature, humidity, and air pollutants potentially alter the incidence of respiratory diseases by affecting the respiratory microbiome. However, there is a dearth of comprehensive and systematic research in this area. Additionally, investigations into microorganisms aid in preventing both the initiation and advancement of diseases. Existing evidence confirms that probiotic intake reduces susceptibility to respiratory infections [94]. Future studies should aim to investigate the variations in the respiratory microbiome under diverse environmental conditions, to enhance our understanding of its role in perpetuating homeostasis and to clarify its regulatory mechanisms. Such investigations could yield novel insights and therapeutic strategies for disease prevention and management.
Competing interests
Competing interestsThe authors declare no competing interests.
References
- Pérez-Cobas AE, Rodríguez-Beltrán J, Baquero F doi:10.1016/j.tim.2023.04.006 PubMed
- Budden KF, Shukla SD, Rehman SF doi:10.1016/S2213-2600(18)30510-1 PubMed
- Perdijk O, Azzoni R, Marsland BJ doi:10.1152/physrev.00020.2023 PubMed
- Li R, Li J, Zhou X doi:10.1038/s41392-023-01722-y PubMed
- Pattaroni C, Watzenboeck ML, Schneidegger S doi:10.1016/j.chom.2018.10.019 PubMed
- Man WH, Clerc M, De Steenhuijsen PWAA doi:10.1164/rccm.201810-1993OC PubMed
- Natalini JG, Singh S, Segal LN doi:10.1038/s41579-022-00821-x PubMed
- De Steenhuijsen PWAA, Binkowska J, Bogaert D doi:10.1016/j.chom.2020.07.004 PubMed
- Charlson ES, Bittinger K, Haas AR doi:10.1164/rccm.201104-0655OC PubMed
- Di Simone SK, Rudloff I, Nold-Petry CA doi:10.1126/scitranslmed.abq5126 PubMed
- Barcik W, Boutin RCT, Sokolowska M doi:10.1016/j.immuni.2020.01.007 PubMed
- Drigot ZG, Clark SE doi:10.1016/j.mib.2024.102428 PubMed
- Wypych TP, Wickramasinghe LC, Marsland BJ doi:10.1038/s41590-019-0451-9 PubMed
- Park YC, Choi SY, Cha Y doi:10.1007/s12275-024-00167-4 PubMed
- Molyneaux PL, Mallia P, Cox MJ doi:10.1164/rccm.201302-0341OC PubMed
- Dickson RP, Martinez FJ, Huffnagle GB doi:10.1016/S0140-6736(14)61136-3 PubMed
- Opron K, Begley LA, Erb-Downward JR doi:10.1038/s41522-021-00185-9 PubMed
- Rogers GB, van der Gast CJ, Cuthbertson L doi:10.1136/thoraxjnl-2012-203105 PubMed
- Zhao J, Schloss PD, Kalikin LM doi:10.1073/pnas.1120577109 PubMed
- Whiteside SA, McGinniss JE, Collman RG doi:10.1172/JCI150473 PubMed
- Bowerman KL, Rehman SF, Vaughan A doi:10.1038/s41467-020-19701-0 PubMed
- Wang Z, Maschera B, Lea S doi:10.1186/s12931-019-1085-z PubMed
- Erb-Downward JR, Thompson DL, Han MK doi:10.1371/journal.pone.0016384 PubMed
- Einarsson GG, Comer DM, McIlreavey L doi:10.1136/thoraxjnl-2015-207235 PubMed
- Xue Q, Xie Y, He Y doi:10.1038/s41598-023-32901-0 PubMed
- Mayhew D, Devos N, Lambert C doi:10.1136/thoraxjnl-2017-210408 PubMed
- Millares L, Pascual S, Montón C doi:10.1186/s12890-019-0867-x PubMed
- Garcia-Nuñez M, Millares L, Pomares X doi:10.1128/JCM.01967-14 PubMed
- Wang Z, Locantore N, Haldar K doi:10.1164/rccm.202009-3448OC PubMed
- Wang Z, Bafadhel M, Haldar K doi:10.1183/13993003.01406-2015 PubMed
- Wang Z, Singh R, Miller BE doi:10.1136/thoraxjnl-2017-210741 PubMed
- Ghebre MA, Pang PH, Diver S doi:10.1016/j.jaci.2018.04.013 PubMed
- Dicker AJ, Huang JTJ, Lonergan M doi:10.1016/j.jaci.2020.02.040 PubMed
- Leiten EO, Nielsen R, Wiker HG doi:10.1183/23120541.00168-2020 PubMed
- Durack J, Lynch SV, Nariya S doi:10.1016/j.jaci.2016.08.055 PubMed
- Yagi K, Huffnagle GB, Lukacs NW doi:10.3390/ijms221910872 PubMed
- Simpson JL, Daly J, Baines KJ doi:10.1183/13993003.00405-2015 PubMed
- Diver S, Richardson M, Haldar K doi:10.1111/all.14058 PubMed
- Marri PR, Stern DA, Wright AL doi:10.1016/j.jaci.2012.11.013 PubMed
- Huang YJ, Nariya S, Harris JM doi:10.1016/j.jaci.2015.05.044 PubMed
- Thorsen J, Rasmussen MA, Waage J doi:10.1038/s41467-019-12989-7 PubMed
- van Beveren GJ, Said H, van Houten MA doi:10.1016/j.jaci.2023.10.001 PubMed
- Teo SM, Mok D, Pham K doi:10.1016/j.chom.2015.03.008 PubMed
- Taylor SL, Leong LEX, Choo JM doi:10.1016/j.jaci.2017.03.044 PubMed
- Durack J, Christian LS, Nariya S doi:10.1016/j.jaci.2020.03.028 PubMed
- Toivonen L, Karppinen S, Schuez-Havupalo L doi:10.1542/peds.2020-0421 PubMed
- Raita Y, Pérez-Losada M, Freishtat RJ doi:10.1038/s41467-021-23859-6 PubMed
- Leung TF, Wong CK, Chan IHS doi:10.1067/mai.2002.126378 PubMed
- Mouronte-Roibás C, Leiro-Fernández V, Fernández-Villar A doi:10.1016/j.canlet.2016.09.002 PubMed
- Tsay JCJ, Wu BG, Sulaiman I doi:10.1158/2159-8290.CD-20-0263 PubMed
- He JQ, Chen Q, Wu SJ doi:10.3389/fcimb.2022.937864 PubMed
- Goto T doi:10.1016/j.semcancer.2022.07.006 PubMed
- Yan X, Yang M, Liu J PubMed
- Tsay JCJ, Wu BG, Badri MH doi:10.1164/rccm.201710-2118OC PubMed
- Pindling S, Klugman M, Lan Q doi:10.21037/jtd-22-885 PubMed
- Segal LN, Clemente JC, Tsay JCJ doi:10.1038/nmicrobiol.2016.31 PubMed
- Vázquez-Pérez JA, Carrillo CO, Iñiguez-García MA doi:10.1016/j.micpath.2019.103851 PubMed
- Molyneaux PL, Cox MJ, Willis-Owen SAG doi:10.1164/rccm.201403-0541OC PubMed
- Invernizzi R, Barnett J, Rawal B doi:10.1183/13993003.01519-2019 PubMed
- O’Dwyer DN, Ashley SL, Gurczynski SJ doi:10.1164/rccm.201809-1650OC PubMed
- Han MK, Zhou Y, Murray S doi:10.1016/S2213-2600(14)70069-4 PubMed
- Zheng L, Liu C, Wang H doi:10.1186/s40168-024-01772-6 PubMed
- Panzer AR, Lynch SV, Langelier C doi:10.1164/rccm.201702-0441OC PubMed
- Dickson RP, Singer BH, Newstead MW doi:10.1038/nmicrobiol.2016.113 PubMed
- Ashley SL, Sjoding MW, Popova AP doi:10.1126/scitranslmed.aau9959 PubMed
- Wang M, Lin X, Jiao H doi:10.1016/j.psj.2020.09.024 PubMed
- Xu F, Wu Q, Yang Y doi:10.1016/j.scitotenv.2023.166795 PubMed
- Lawrence KE, Lam KC, Morgun A doi:10.1177/1040638719828412 PubMed
- Spaniol V, Troller R, Aebi C doi:10.1086/644640 PubMed
- Fang W, Li Z, Gao J doi:10.1016/j.envint.2022.107669 PubMed
- Wu Y, Feng X, Li M doi:10.1016/j.ebiom.2023.104918 PubMed
- Weng H, Deng L, Wang T doi:10.1038/s41467-024-49972-w PubMed
- Diallo K, Missa KF, Tuo KJ doi:10.1038/s41598-024-81829-6 PubMed
- Klimkaite L, Liveikis T, Kaspute G doi:10.2217/fmb-2022-0258 PubMed
- Li J, Hu Y, Liu L doi:10.1016/j.scitotenv.2020.137432 PubMed
- Qin T, Zhang F, Zhou H doi:10.3389/fmicb.2019.00054 PubMed
- Li X, Sun Y, An Y doi:10.1016/j.envpol.2018.12.083 PubMed
- McCauley KE, Flynn K, Calatroni A doi:10.1016/j.jaci.2022.01.020 PubMed
- Bogaert D, Keijser B, Huse S doi:10.1371/journal.pone.0017035 PubMed
- Chen P, Liu Y, Liu W doi:10.3389/fmed.2022.842800 PubMed
- Geng X, Qu C, Zhao L doi:10.1016/j.smhs.2023.03.003 PubMed
- Tóthpál A, Desobry K, Joshi SS doi:10.1186/s12866-019-1671-8 PubMed
- Allicock OM, York A, Waghela P doi:10.1128/msphere.00331-22 PubMed
- Jones MM, Murphy TF doi:10.1128/IAI.00597-15 PubMed
- Kloepfer KM, Kennedy JL doi:10.1016/j.jaci.2023.08.008 PubMed
- Johnson JL, Jones MB, Cobb BA doi:10.1093/glycob/cwx093 PubMed
- Zhu W, Wu Y, Liu H doi:10.3389/fimmu.2021.741233 PubMed
- Arrieta MC, Stiemsma LT, Dimitriu PA doi:10.1126/scitranslmed.aab2271 PubMed
- Burrows K, Ngai L, Chiaranunt P doi:10.1016/j.cell.2024.11.020 PubMed
- Galeana-Cadena D, Gómez-García IA, Lopez-Salinas KG doi:10.3389/fmicb.2023.1295215 PubMed
- Özçam M, Lynch SV doi:10.1038/s41579-024-01048-8 PubMed
- Jakobsson HE, Abrahamsson TR, Jenmalm MC doi:10.1136/gutjnl-2012-303249 PubMed
- Takeshita K, Hishiki H, Takei H doi:10.3390/nu16213635 PubMed