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Developmental Origins of Health and Disease

Kidney, Urology and Women's Health · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed9 referencesApproximately 5 min read

Concept that the origins of lifestyle-related disease is formed at the time of fertilization, embryonic, fetal, and neonatal stages by the interrelation between genes and the environments (nutrition, stress, or environmental chemi

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 3 complete abstracts (867 words), 9 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Concept that the origins of lifestyle-related disease is formed at the time of fertilization, embryonic, fetal, and neonatal stages by the interrelation between genes and the environments (nutrition, stress, or environmental chemicals). (J Cardiol 2020 Jul;76(1):14-17)...

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Developmental Origins of Disease; Disease Developmental Origin; Disease Developmental Origins; Developmental Origins of Health; DOHaD.

Where it fits in the MeSH classification

Broader topics
Prenatal Exposure Delayed Effects

Research landscape

PubMed indexes 507 records tagged with the MeSH heading “Developmental Origins of Health and Disease” (counts retrieved 2026-11-04). 507 of them (100.0%) were published from 2020 onward, and the busiest period so far is 2020 onward with 507 records.

Reviews account for 176 records (34.7%) and meta-analyses for 4. Randomized controlled trials number 3 (0.6%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 0 records; 2010-2019: 0 records; 2020 onward: 507 records0through 199902000-200902010-20195072020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-20090
2010-20190
2020 onward507
Share of records by publication typeReviews: 34.7 percent; Meta-analyses: 0.8 percent; Randomized controlled trials: 0.6 percentReviews34.7% (176)Meta-analyses0.8% (4)Randomized controlled trials0.6% (3)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 507 PubMed records
TypeRecordsShare
Reviews17634.7%
Meta-analyses40.8%
Randomized controlled trials30.6%

Method: PubMed query "Developmental Origins of Health and Disease"[MeSH Terms] with publication-type and date filters, retrieved 2026-11-04.

Reading the evidence in kidney, urology and women's health

Kidney, urinary and reproductive health research uses lab markers (such as creatinine), imaging, symptom scores and registry data on pregnancy and birth. Findings about pregnancy are especially sensitive to who was studied and when in pregnancy exposure occurred. Nothing on this page is advice about treatment, fertility or pregnancy; speak to a qualified clinician. Check the population, the outcome measured and whether the study accounted for other health differences between groups.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Developmental Programming of Drug Response: Microbiota as a Missing Dimension in Perinatal Drug Discovery
Zhang Y, Ma L, Wang Y
2026Review article
Design not recorded in structured metadata
1cc by
PMID 42278198 · DOI · PMC13257365
Prenatal and early-life determinants of neurodevelopment: A decade of discoveries and new directions in ABCD
Menu I, Cachia A, Thomason ME
2026Review article
Design not recorded in structured metadata
1cc by
PMID 42202718 · DOI · PMC13234727
Maternal Cardiovascular Health During Pregnancy and Offspring Developmental Delay
Ohseto H, Ishikuro M, Chen G, Takahashi I, Shinoda G, Noda A, et al.
2026Research article
Design not recorded in structured metadata
0cc by
PMID 42334852 · DOI · PMC13291893

Developmental Programming of Drug Response: Microbiota as a Missing Dimension in Perinatal Drug Discovery [1]

Review article Zhang Y, Ma L, Wang Y · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Drug exposure during pregnancy and early life is typically considered a short-term clinical intervention rather than a determinant of long-term pharmacological outcomes.
Closing excerpt
This perspective introduces a missing developmental dimension into drug discovery and highlights new opportunities to improve translational predictability and precision pharmacotherapy across the life course.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (209 words)

Drug exposure during pregnancy and early life is typically considered a short-term clinical intervention rather than a determinant of long-term pharmacological outcomes. Consequently, the developmental context is largely absent from drug discovery and drug development paradigms, where efficacy, safety and target engagement are evaluated predominantly in adult, steady-state systems. This disconnect may contribute to unexplained variability in drug response and toxicity later in life. Pregnancy is accompanied by dynamic remodeling of the maternal gut microbiota and its metabolic output, generating bioactive microbial metabolites that regulate immune tone, metabolic homeostasis and the expression of drug-metabolizing enzymes and transporters. These microbial signals intersect with pharmacological interventions across gestation, shaping maternal pharmacokinetics, placental regulation and fetal drug exposure during developmentally sensitive windows. Importantly, microbiota-drug interactions initiated during pregnancy do not terminate at birth. Instead, they extend into infancy through vertical microbial transmission, breast milk-mediated metabolic signaling, and the immaturity of neonatal drug-handling systems, collectively contributing to developmental programming of drug responsiveness beyond early life. In this review, we propose a microbiota-informed framework that reframes perinatal drug exposure as a developmentally embedded signal operating across a maternal-placental-infant continuum. This perspective introduces a missing developmental dimension into drug discovery and highlights new opportunities to improve translational predictability and precision pharmacotherapy across the life course.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42278198 · DOI · PMC13257365

Prenatal and early-life determinants of neurodevelopment: A decade of discoveries and new directions in ABCD [2]

Review article Menu I, Cachia A, Thomason ME · · 2026 · cited 1 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Decades of research on the developmental origins of health and disease highlight how prenatal and perinatal conditions are associated with long-term neurocognitive development.
Closing excerpt
Insights from this work can inform public health strategies and guide policies to reduce prenatal risks and strengthening early-life environments to optimize developmental outcomes.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (249 words)

Decades of research on the developmental origins of health and disease highlight how prenatal and perinatal conditions are associated with long-term neurocognitive development. Exposures such as maternal stress, substance use, metabolic disorders, obstetric complications, low birthweight, and preterm birth have been linked to differences in brain, cognition, and mental health. Yet, most prior studies have been limited by small sample sizes, narrow exposure measures, or isolated outcomes. The Adolescent Brain Cognitive Development (ABCD) Study provides an unparalleled opportunity to overcome these limitations with nearly 12,000 children recruited at ages 9-10 across the United States, followed longitudinally with harmonized multimodal MRI, cognitive and behavioral testing, biospecimens, genetic data, and rich environmental measures in a diverse cohort. Retrospective caregiver reports provide key prenatal and perinatal information, which can be prospectively related to neurodevelopmental outcomes across adolescence. This review synthesizes findings from 111 ABCD-based studies published from 2017 to 2026. Results implicate maternal health conditions, substance use, birth outcomes, and cumulative adversity as being associated with variation in brain, cognitive, and behavioral development. Leveraging its size and diversity, ABCD has fostered advanced analytic approaches, such as multimodal integration of imaging and behavioral data, and longitudinal tracking of developmental trajectories, rarely possible elsewhere. While methodological challenges remain, including retrospective reporting and imaging site variability, ABCD offers unique opportunities to clarify pathways of vulnerability and resilience within an observational framework. Insights from this work can inform public health strategies and guide policies to reduce prenatal risks and strengthening early-life environments to optimize developmental outcomes.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42202718 · DOI · PMC13234727

Maternal Cardiovascular Health During Pregnancy and Offspring Developmental Delay [3]

Research article Ohseto H, Ishikuro M, Chen G, Takahashi I, Shinoda G, Noda A, et al. · · 2026

Abstract reading summary — source excerpts
Opening excerpt
ImportanceDevelopmental delay affects daily living, social functioning, and mental health.
Closing excerpt
Conclusions and relevanceIn this cohort study of mother and offspring pairs in Japan, better maternal CVH during pregnancy was associated with a lower risk of offspring developmental delay at age 4 years.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (409 words)

ImportanceDevelopmental delay affects daily living, social functioning, and mental health. Maternal cardiovascular health (CVH) during pregnancy may indicate an adverse intrauterine environment, but its association with developmental delay is unclear.ObjectiveTo examine the association between maternal CVH during pregnancy and developmental delay in offspring at 4 years of age.Design, setting, and participantsThis cohort study enrolled patients between July 19, 2013, and March 31, 2017, with 5 years of follow-up, at obstetric hospitals and clinics in Miyagi Prefecture, Japan. Participants included eligible mother and offspring pairs enrolled in the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. Offspring were followed up until age 4 years. Data analyses were conducted from November 12, 2024, to March 24, 2026.ExposureMaternal CVH during pregnancy, which was assessed using Life's Essential 8 metrics (diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure). Each metric was scored on a scale of 0 (least favorable) to 100 (most favorable), and these scores were used to categorize mothers as having high (80-100), moderate (50-79), or low (0-49) CVH.Main outcomes and measuresDevelopmental delay at age 4 years, which was evaluated by the mother using the validated Japanese version of Ages and Stages Questionnaire, Third Edition. This instrument has 5 domains: communication, gross motor, fine motor, problem solving, and personal-social skills. Domain-specific delay was defined as 2 or more SDs below the mean score, and developmental delay in total was defined as delay in 1 or more of the 5 domains.ResultsAmong 19 160 eligible mother and offspring pairs, 8238 (43.0%) were analyzed. Offspring were assessed at a mean (SD) age of 4.1 (0.2) years and included 4299 males (52.2%). Among mothers with high, moderate, and low CVH, 154 (8.8%), 763 (12.1%), and 33 (16.8%), respectively, had offspring with developmental delay in total. Compared with high CVH, moderate (risk ratio [RR], 1.30; 95% CI, 1.09-1.54) and low (RR, 1.62; 95% CI, 1.11-2.36) CVH during pregnancy were associated with developmental delay in total. Low CVH was associated with higher prevalence of developmental delay across all 5 domains, with personal-social domain having the largest effect size (RR, 2.23; 95% CI, 1.23-4.07; P for trend = .002) and communication domain having the smallest effect size (RR, 1.40; 95% CI, 0.69-2.85; P for trend = .03).Conclusions and relevanceIn this cohort study of mother and offspring pairs in Japan, better maternal CVH during pregnancy was associated with a lower risk of offspring developmental delay at age 4 years.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42334852 · DOI · PMC13291893

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Early adversity and the comorbidity between metabolic disease and psychopathology [4]
    Gómez-Ilescas A, Silveira PP · J Physiol · 2026 · cited 5 times (Europe PMC)
  • Research article Early and long-term effects of maternal protein restriction on offspring organs and systems: insights from the developmental origins of health and disease (DOHaD) [5]
    Fioretto MN, Barata LA, Ribeiro IT, Maciel FA, Mattos R, de Souza PV, et al. · Biogerontology · 2025 · cited 3 times (Europe PMC)
  • Research article Association between famine exposure and type 2 diabetes mellitus over the last three decades: a systematic review and meta-analysis [6]
    Turkar A, Purkayastha K, Kumar RS, Tanwar S, Deo V, Shalini S, et al. · Diabetes Res Clin Pract · 2026 · cited 1 times (Europe PMC)
  • Research article Maternal obesity alters myeloid immune function in the offspring [7]
    Lépez M, Giacaman C, Gómez-Cayupán J, Casanello P · J Physiol · 2026 · cited 1 times (Europe PMC)
  • Research article Unpacking developmental programming: a conceptual and historical analysis in the context of DOHaD [8]
    Gretchev A, Temples HS, England-Mason G, Dewey D, Sarasua SM, Farrell C, et al. · J Dev Orig Health Dis · 2026 · cited 0 times (Europe PMC)
  • Research article Intergenerational effects of the microbiota on neurodevelopment: mechanisms and therapeutic perspectives [9]
    Wang RX, Afzal A, Jing XY, Zhou Y, Feng JX, Chen ZX, et al. · Acta Pharmacol Sin · 2026 · cited 0 times (Europe PMC)

References

  1. Zhang Y, Ma L, Wang Y. Developmental Programming of Drug Response: Microbiota as a Missing Dimension in Perinatal Drug Discovery. . 2026. PMID 42278198 · DOI · PMC13257365
  2. Menu I, Cachia A, Thomason ME. Prenatal and early-life determinants of neurodevelopment: A decade of discoveries and new directions in ABCD. . 2026. PMID 42202718 · DOI · PMC13234727
  3. Ohseto H, Ishikuro M, Chen G, Takahashi I, Shinoda G, Noda A, et al.. Maternal Cardiovascular Health During Pregnancy and Offspring Developmental Delay. . 2026. PMID 42334852 · DOI · PMC13291893
  4. Gómez-Ilescas A, Silveira PP. Early adversity and the comorbidity between metabolic disease and psychopathology. J Physiol. 2026. PMID 40349327 · DOI
  5. Fioretto MN, Barata LA, Ribeiro IT, Maciel FA, Mattos R, de Souza PV, et al.. Early and long-term effects of maternal protein restriction on offspring organs and systems: insights from the developmental origins of health and disease (DOHaD). Biogerontology. 2025. PMID 40877640 · DOI
  6. Turkar A, Purkayastha K, Kumar RS, Tanwar S, Deo V, Shalini S, et al.. Association between famine exposure and type 2 diabetes mellitus over the last three decades: a systematic review and meta-analysis. Diabetes Res Clin Pract. 2026. PMID 42069307 · DOI
  7. Lépez M, Giacaman C, Gómez-Cayupán J, Casanello P. Maternal obesity alters myeloid immune function in the offspring. J Physiol. 2026. PMID 40757704 · DOI
  8. Gretchev A, Temples HS, England-Mason G, Dewey D, Sarasua SM, Farrell C, et al.. Unpacking developmental programming: a conceptual and historical analysis in the context of DOHaD. J Dev Orig Health Dis. 2026. PMID 41919437 · DOI
  9. Wang RX, Afzal A, Jing XY, Zhou Y, Feng JX, Chen ZX, et al.. Intergenerational effects of the microbiota on neurodevelopment: mechanisms and therapeutic perspectives. Acta Pharmacol Sin. 2026. PMID 41577801 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

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At a glance

507
PubMed records on this heading
100%
published since 2020
176
review articles
3
randomized trials
9
verified references below

Counts come from PubMed on 2026-11-04; they show how much has been written, not how strong the evidence is.

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