Submitted:
07 August 2026
Posted:
10 August 2026
You are already at the latest version
Abstract

Keywords:
1. Introduction
2. Historical Perspective and Theoretical Framework
2.1. Barker's Hypothesis and Fetal Programming
2.2. The Thrifty Phenotype Hypothesis
2.3. The Concept of Nutritional Programming
2.3.1. Transgenerational Programming
3. Mechanisms of Developmental Programming
3.1. Structural and Functional Organ Development
3.1.1. Kidney Development and Hypertension Risk
3.1.2. Pancreatic Development and Diabetes Risk
3.1.3. Other Organ Systems
3.2. Epigenetic Mechanisms
3.2.1. DNA Methylation
3.2.2. Histone Modifications and Chromatin Remodeling
3.2.3. Non-Coding RNAs
3.2.4. Epigenetic Clocks and Biological Aging in Preterm Infants
3.3. Hormonal Programming
3.4. The Gut Microbiome in Developmental Programming
3.5. Oxidative Stress
4. Clinical Evidence and Epidemiological Studies by Developmental Programming Windows
4.1. Preconception Health: The Critical Period Before Conception
4.2. In Utero Growth and Nutrition
4.2.1. Undernutrition During Pregnancy: Historical Famines and Natural Experiments
4.2.2. Asymmetric IUGR: A Particularly High-Risk Phenotype
4.2.3. In Utero Overnutrition
4.3. Preterm Birth - Prematurity-Related Long-Term Cardiovascular and Metabolic Outcomes
4.3.1. Ischemic Heart Disease
4.3.2. Metabolic Syndrome Components
4.3.3. Very Low Birth Weight Adults
4.3.4. Distinguishing Preterm Birth from IUGR Effects
4.4. Postnatal Growth and Nutrition
4.4.1. Excessive Early Growth and Cardio-Metabolic Risk: Contemporary Epidemiological Evidence
4.4.2. Postnatal Nutrition and Cardio-Metabolic Risk in VLBW Adults
4.4.3. Catch-Up Growth: Benefits and Risks
4.4.3.1. The Catch-Up Growth Paradox
4.4.3.2. Timing of Catch-Up Growth
4.4.3.3. Pattern of Catch-Up Growth
4.4.3.4. Quality of Growth and Body Composition
4.4.3.5. Differences Between Preterm and IUGR Catch-Up Growth
5. Special Nutritional Considerations for Preterm Infants
5.1. Unique Nutritional Challenges
5.2. Parenteral Nutrition: Early Provision and Composition
5.3. Enteral Nutrition: Human Milk as First Choice
5.4. Key Micronutrients and Bioactive Components
5.5. Neurodevelopmental Outcomes and Nutritional Support
5.6. Long-Term Monitoring of Preterm Infants
6. Benefits of Breastfeeding for Long-Term Health
6.1. Cardiovascular Benefits
6.2. Metabolic Benefits
6.3. Obesity Prevention
6.4. Cholesterol and Lipid Profiles
6.5. Neurodevelopmental Benefits
7. Practical Clinical Implications
7.1. Preconception and Prenatal Care
7.2. Postnatal Feeding Strategies for Term Infants
7.2.1. Exclusive Breastfeeding
7.2.2. Complementary Feeding
7.2.3. Preschool Nutrition
7.3. Nutritional Management of Preterm Infants
7.4. Growth Monitoring and Assessment
7.5. Long-Term Cardio-Metabolic Follow-Up
8. Future Directions and Research Needs
8.1. Mechanistic Understanding
8.2. Epigenetic Biomarkers and Precision Nutrition
8.3. Gut Microbiome Interventions
8.4. Intervention Strategies and Clinical Trials
8.5. Long-Term Outcome Studies and Registry-Based Research
8.6. Personalized and Sex-Specific Approaches
8.7. From Developmental Programming to Longevity Medicine: A Life-Course Convergence
9. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Acknowledgments
Abbreviations
| ADMA | asymmetric dimethyl-arginine |
| ADP | air displacement plethysmography |
| ARA | arachidonic acid |
| BMI | body mass index |
| CI | confidence interval |
| CA | corrected age |
| DBP | diastolic blood pressure |
| DEXA | dual-energy X-ray absorptiometry |
| DHA | docosahexaenoic acid |
| DNA | deoxyribonucleic acid |
| DOHaD | developmental origins of health and disease |
| EBM | expressed breast milk |
| EN | enteral nutrition |
| ESPEN | the European society for clinical nutrition and metabolism |
| ESPGHAN | European society for pediatric gastroenterology, hepatology and nutrition |
| EUGR | extra-uterine growth restriction |
| GLP-1 | glucagon-like peptide-1 |
| GPCR | G-protein coupled receptor |
| HOMA-IR | homeostasis-model-assessment insulin resistance |
| HMOs | human milk oligosaccharides |
| HR | hazard ratio |
| HTN | hypertension |
| IGF-2 | insulin-like growth factor 2 |
| IQ | intelligence quotient |
| IUGR | intrauterine growth restriction |
| LBW | low birth weight |
| LC-PUFA | Long-chain polyunsaturated fatty acid |
| LDL | low-density lipoprotein |
| lncRNA | long non-coding RNA |
| MetS | metabolic syndrome |
| miRNA | microRNA |
| MRI | magnetic resonance imaging |
| NAFLD | non-alcoholic fatty liver disease |
| NEC | necrotizing enterocolitis |
| NICU | neonatal intensive care unit |
| NO | nitric oxide |
| NPY–AgRP | neuropeptide-Y / agouti-related peptide |
| OR | odds ratio |
| PedBE | pediatric buccal epigenetic |
| PMA | post-menstrual age |
| PN | parenteral nutrition |
| RNA | ribonucleic acid |
| ROS | reactive oxygen species |
| RR | relative risk |
| SAMe | S-adenosylmethionine |
| SBP | systolic blood pressure |
| SCFA | short-chain fatty acids |
| SGA | small for gestational age |
| TBV | total brain volume |
| VIQ | verbal intelligence quotient |
| VLBW | very low birth weight |
| WMV | white matter volume |
| wk | weeks |
References
- Lanigan, J.; Singhal, A. Early nutrition and long-term health: a practical approach. Proc. Nutr. Soc. 2009, 68, 422–429. [Google Scholar] [CrossRef]
- Barker, D.J.; Thornburg, K.L. The obstetric origins of health for a lifetime. Clin. Obstet. Gynecol. 2013, 56, 511–519. [Google Scholar] [CrossRef] [PubMed]
- Godfrey, K.M.; Barker, D.J. Fetal nutrition and adult disease. Am. J. Clin. Nutr. 2000, 71, 1344S–1352S. [Google Scholar] [CrossRef] [PubMed]
- Gluckman, P.D.; Hanson, M.A.; Cooper, C.; Thornburg, K.L. Effect of in utero and early-life conditions on adult health and disease. N. Engl. J. Med. 2008, 359, 61–73. [Google Scholar] [CrossRef] [PubMed]
- Hanson, M.A.; Gluckman, P.D. Early developmental conditioning of later health and disease: physiology or pathophysiology? Physiol. Rev. 2014, 94, 1027–1076. [Google Scholar] [CrossRef] [PubMed]
- Calkins, K.; Devaskar, S.U. Fetal origins of adult disease. Curr. Probl. Pediatr. Adolesc. Health Care 2011, 41, 158–176. [Google Scholar] [CrossRef] [PubMed]
- Morniroli, D.; Tiraferri, V.; Maiocco, G.; De Rose, D.U.; Cresi, F.; Coscia, A.; Mosca, F.; Gianni, M.L. Beyond survival: the lasting effects of premature birth. Front. Pediatr. 2023, 11, 1213243. [Google Scholar] [CrossRef] [PubMed]
- Casirati, A.; Somaschini, A.; Perrone, M.; Vandoni, G.; Sebastiani, F.; Montagna, E.; Somaschini, M.; Caccialanza, R. Preterm birth and metabolic implications on later life: A narrative review focused on body composition. Front. Nutr. 2022, 9, 978271. [Google Scholar] [CrossRef] [PubMed]
- Crump, C.; Howell, E.A.; Stroustrup, A.; McLaughlin, M.A.; Sundquist, J.; Sundquist, K. Association of Preterm Birth With Risk of Ischemic Heart Disease in Adulthood. JAMA Pediatr. 2019, 173, 736–743. [Google Scholar] [CrossRef] [PubMed]
- Nobile, S.; Di Sipio Morgia, C.; Vento, G. Perinatal Origins of Adult Disease and Opportunities for Health Promotion: A Narrative Review. J. Pers. Med. 2022, 12. [Google Scholar] [CrossRef] [PubMed]
- Ong, K.K.; Loos, R.J. Rapid infancy weight gain and subsequent obesity: systematic reviews and hopeful suggestions. Acta Paediatr. 2006, 95, 904–908. [Google Scholar] [CrossRef] [PubMed]
- Singhal, A.; Lucas, A. Early origins of cardiovascular disease: is there a unifying hypothesis? Lancet 2004, 363, 1642–1645. [Google Scholar] [CrossRef] [PubMed]
- Hay, W.W., Jr. Strategies for feeding the preterm infant. Neonatology 2008, 94, 245–254. [Google Scholar] [CrossRef] [PubMed]
- Poindexter, B.B.; Langer, J.C.; Dusick, A.M.; Ehrenkranz, R.A.; National Institute of Child; H.; Human Development Neonatal Research, N. Early provision of parenteral amino acids in extremely low birth weight infants: relation to growth and neurodevelopmental outcome. J. Pediatr. 2006, 148, 300–305. [Google Scholar] [CrossRef] [PubMed]
- van den Akker, C.H.; te Braake, F.W.; Weisglas-Kuperus, N.; van Goudoever, J.B. Observational outcome results following a randomized controlled trial of early amino acid administration in preterm infants. J. Pediatr. Gastroenterol. Nutr. 2014, 59, 714–719. [Google Scholar] [CrossRef] [PubMed]
- Cooke, R.J.; Ainsworth, S.B.; Fenton, A.C. Postnatal growth retardation: a universal problem in preterm infants. Arch. Dis. Childhood. Fetal Neonatal Ed. 2004, 89, F428–430. [Google Scholar] [CrossRef] [PubMed]
- Embleton, N.E.; Pang, N.; Cooke, R.J. Postnatal malnutrition and growth retardation: an inevitable consequence of current recommendations in preterm infants? Pediatrics 2001, 107, 270–273. [Google Scholar] [CrossRef] [PubMed]
- Cianfarani, S.; Germani, D.; Branca, F. Low birthweight and adult insulin resistance: the "catch-up growth" hypothesis. Arch. Dis. Childhood. Fetal Neonatal Ed. 1999, 81, F71–73. [Google Scholar] [CrossRef] [PubMed]
- Eriksson, J.G.; Forsen, T.; Tuomilehto, J.; Winter, P.D.; Osmond, C.; Barker, D.J. Catch-up growth in childhood and death from coronary heart disease: longitudinal study. BMJ 1999, 318, 427–431. [Google Scholar] [CrossRef] [PubMed]
- Barker, D.J.; Osmond, C. Infant mortality, childhood nutrition, and ischaemic heart disease in England and Wales. Lancet 1986, 1, 1077–1081. [Google Scholar] [CrossRef] [PubMed]
- Faa, G.; Fanos, V.; Manchia, M.; Van Eyken, P.; Suri, J.S.; Saba, L. The fascinating theory of fetal programming of adult diseases: A review of the fundamentals of the Barker hypothesis. J. Public Health Res. 2024, 13, 22799036241226817. [Google Scholar] [CrossRef] [PubMed]
- Barker, D.J.; Hales, C.N.; Fall, C.H.; Osmond, C.; Phipps, K.; Clark, P.M. Type 2 (non-insulin-dependent) diabetes mellitus, hypertension and hyperlipidaemia (syndrome X): relation to reduced fetal growth. Diabetologia 1993, 36, 62–67. [Google Scholar] [CrossRef] [PubMed]
- Barker, D.J. The origins of the developmental origins theory. J. Intern. Med. 2007, 261, 412–417. [Google Scholar] [CrossRef] [PubMed]
- Lucas, A. Programming by early nutrition in man. Ciba Found. Symp. 1991, 156, 38-50; discussion 50-35. [Google Scholar]
- Waterland, R.A.; Garza, C. Potential mechanisms of metabolic imprinting that lead to chronic disease. Am. J. Clin. Nutr. 1999, 69, 179–197. [Google Scholar] [CrossRef] [PubMed]
- Hales, C.N.; Barker, D.J. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia 1992, 35, 595–601. [Google Scholar] [CrossRef] [PubMed]
- Gluckman, P.D.; Hanson, M.A. Living with the past: evolution, development, and patterns of disease. Science 2004, 305, 1733–1736. [Google Scholar] [CrossRef] [PubMed]
- Wells, J.C. The thrifty phenotype as an adaptive maternal effect. Biol. Rev. Camb. Philos. Soc. 2007, 82, 143–172. [Google Scholar] [CrossRef] [PubMed]
- Lucas, A. Programming by early nutrition: an experimental approach. J. Nutr. 1998, 128, 401S–406S. [Google Scholar] [CrossRef] [PubMed]
- Lucas, A. Long-term programming effects of early nutrition -- implications for the preterm infant. J. Perinatol. Off. J. Calif. Perinat. Assoc. 2005, 25 Suppl 2, S2–6. [Google Scholar] [CrossRef] [PubMed]
- Jimenez-Chillaron, J.C.; Hernandez-Valencia, M.; Lightner, A.; Faucette, R.R.; Reamer, C.; Przybyla, R.; Ruest, S.; Barry, K.; Otis, J.P.; Patti, M.E. Reductions in caloric intake and early postnatal growth prevent glucose intolerance and obesity associated with low birthweight. Diabetologia 2006, 49, 1974–1984. [Google Scholar] [CrossRef] [PubMed]
- Ozanne, S.E.; Hales, C.N. Lifespan: catch-up growth and obesity in male mice. Nature 2004, 427, 411–412. [Google Scholar] [CrossRef] [PubMed]
- Belfort, M.B.; Rifas-Shiman, S.L.; Rich-Edwards, J.; Kleinman, K.P.; Gillman, M.W. Size at birth, infant growth, and blood pressure at three years of age. J. Pediatr. 2007, 151, 670–674. [Google Scholar] [CrossRef] [PubMed]
- Singhal, A.; Cole, T.J.; Fewtrell, M.; Kennedy, K.; Stephenson, T.; Elias-Jones, A.; Lucas, A. Promotion of faster weight gain in infants born small for gestational age: is there an adverse effect on later blood pressure? Circulation 2007, 115, 213–220. [Google Scholar] [CrossRef] [PubMed]
- Dunn, G.A.; Bale, T.L. Maternal high-fat diet effects on third-generation female body size via the paternal lineage. Endocrinology 2011, 152, 2228–2236. [Google Scholar] [CrossRef] [PubMed]
- Skinner, M.K. What is an epigenetic transgenerational phenotype? F3 or F2. Reprod. Toxicol. 2008, 25, 2–6. [Google Scholar] [CrossRef] [PubMed]
- Stegemann, R.; Buchner, D.A. Transgenerational inheritance of metabolic disease. Semin. Cell Dev. Biol. 2015, 43, 131–140. [Google Scholar] [CrossRef] [PubMed]
- Alum, E.U.; Aloh, H.E.; Obasi, D.C.; Okoroh, P.N.; Aniokete, U.C.; Emeruwa, A.P. Maternal Nutrition, Toxicants, and Epigenetic Programming of Obesity Across Generations. Diabetes Metab. Syndr. Obes. Targets Ther. 2025, 18, 4873–4911. [Google Scholar] [CrossRef] [PubMed]
- Rando, O.J.; Simmons, R.A. I'm eating for two: parental dietary effects on offspring metabolism. Cell 2015, 161, 93–105. [Google Scholar] [CrossRef] [PubMed]
- Kaspar, D.; Hastreiter, S.; Irmler, M.; Hrabe de Angelis, M.; Beckers, J. Nutrition and its role in epigenetic inheritance of obesity and diabetes across generations. Mamm. Genome Off. J. Int. Mamm. Genome Soc. 2020, 31, 119–133. [Google Scholar] [CrossRef] [PubMed]
- Northstone, K.; Golding, J.; Davey Smith, G.; Miller, L.L.; Pembrey, M. Prepubertal start of father's smoking and increased body fat in his sons: further characterisation of paternal transgenerational responses. Eur. J. Hum. Genet. EJHG 2014, 22, 1382–1386. [Google Scholar] [CrossRef] [PubMed]
- Brennan, K.A.; Gopalakrishnan, G.S.; Kurlak, L.; Rhind, S.M.; Kyle, C.E.; Brooks, A.N.; Rae, M.T.; Olson, D.M.; Stephenson, T.; Symonds, M.E. Impact of maternal undernutrition and fetal number on glucocorticoid, growth hormone and insulin-like growth factor receptor mRNA abundance in the ovine fetal kidney. Reproduction 2005, 129, 151–159. [Google Scholar] [CrossRef] [PubMed]
- Luyckx, V.A.; Brenner, B.M. The clinical importance of nephron mass. J. Am. Soc. Nephrol. JASN 2010, 21, 898–910. [Google Scholar] [CrossRef] [PubMed]
- Wood-Bradley, R.J.; Barrand, S.; Giot, A.; Armitage, J.A. Understanding the role of maternal diet on kidney development; an opportunity to improve cardiovascular and renal health for future generations. Nutrients 2015, 7, 1881–1905. [Google Scholar] [CrossRef] [PubMed]
- Bertram, J.F.; Douglas-Denton, R.N.; Diouf, B.; Hughson, M.D.; Hoy, W.E. Human nephron number: implications for health and disease. Pediatr. Nephrol. 2011, 26, 1529–1533. [Google Scholar] [CrossRef] [PubMed]
- Brenner, B.M.; Chertow, G.M. Congenital oligonephropathy and the etiology of adult hypertension and progressive renal injury. Am. J. Kidney Dis. Off. J. Natl. Kidney Found. 1994, 23, 171–175. [Google Scholar] [CrossRef]
- Luyckx, V.A.; Brenner, B.M. Birth weight, malnutrition and kidney-associated outcomes--a global concern. Nat. Rev. Nephrol. 2015, 11, 135–149. [Google Scholar] [CrossRef] [PubMed]
- Markopoulou, P.; Papanikolaou, E.; Analytis, A.; Zoumakis, E.; Siahanidou, T. Preterm Birth as a Risk Factor for Metabolic Syndrome and Cardiovascular Disease in Adult Life: A Systematic Review and Meta-Analysis. J. Pediatr. 2019, 210, 69–80 e65. [Google Scholar] [CrossRef] [PubMed]
- Dahri, S.; Snoeck, A.; Reusens-Billen, B.; Remacle, C.; Hoet, J.J. Islet function in offspring of mothers on low-protein diet during gestation. Diabetes 1991, 40 Suppl 2, 115–120. [Google Scholar] [CrossRef] [PubMed]
- Snoeck, A.; Remacle, C.; Reusens, B.; Hoet, J.J. Effect of a low protein diet during pregnancy on the fetal rat endocrine pancreas. Biol. Neonate 1990, 57, 107–118. [Google Scholar] [CrossRef] [PubMed]
- Amadou, C.; Ancel, P.Y.; Zeitlin, J.; Ribet, C.; Zins, M.; Charles, M.A. Long-term health in individuals born preterm or with low birth weight: A cohort study. Pediatr. Res. 2025, 97, 577–585. [Google Scholar] [CrossRef] [PubMed]
- Scheidl, T.B.; Brightwell, A.L.; Easson, S.H.; Thompson, J.A. Maternal obesity and programming of metabolic syndrome in the offspring: searching for mechanisms in the adipocyte progenitor pool. BMC Med. 2023, 21, 50. [Google Scholar] [CrossRef] [PubMed]
- Gluckman, P.D.; Hanson, M.A.; Buklijas, T.; Low, F.M.; Beedle, A.S. Epigenetic mechanisms that underpin metabolic and cardiovascular diseases. Nat. Rev. Endocrinol. 2009, 5, 401–408. [Google Scholar] [CrossRef] [PubMed]
- Waterland, R.A.; Jirtle, R.L. Transposable elements: targets for early nutritional effects on epigenetic gene regulation. Mol. Cell. Biol. 2003, 23, 5293–5300. [Google Scholar] [CrossRef] [PubMed]
- Jirtle, R.L.; Skinner, M.K. Environmental epigenomics and disease susceptibility. Nat. Rev. Genet. 2007, 8, 253–262. [Google Scholar] [CrossRef] [PubMed]
- Burdge, G.C.; Slater-Jefferies, J.; Torrens, C.; Phillips, E.S.; Hanson, M.A.; Lillycrop, K.A. Dietary protein restriction of pregnant rats in the F0 generation induces altered methylation of hepatic gene promoters in the adult male offspring in the F1 and F2 generations. Br. J. Nutr. 2007, 97, 435–439. [Google Scholar] [CrossRef] [PubMed]
- Lillycrop, K.A.; Phillips, E.S.; Jackson, A.A.; Hanson, M.A.; Burdge, G.C. Dietary protein restriction of pregnant rats induces and folic acid supplementation prevents epigenetic modification of hepatic gene expression in the offspring. J. Nutr. 2005, 135, 1382–1386. [Google Scholar] [CrossRef] [PubMed]
- Dolinoy, D.C.; Weidman, J.R.; Waterland, R.A.; Jirtle, R.L. Maternal genistein alters coat color and protects Avy mouse offspring from obesity by modifying the fetal epigenome. Environ. Health Perspect. 2006, 114, 567–572. [Google Scholar] [CrossRef] [PubMed]
- Heijmans, B.T.; Tobi, E.W.; Stein, A.D.; Putter, H.; Blauw, G.J.; Susser, E.S.; Slagboom, P.E.; Lumey, L.H. Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc. Natl. Acad. Sci. USA 2008, 105, 17046–17049. [Google Scholar] [CrossRef] [PubMed]
- Tobi, E.W.; Lumey, L.H.; Talens, R.P.; Kremer, D.; Putter, H.; Stein, A.D.; Slagboom, P.E.; Heijmans, B.T. DNA methylation differences after exposure to prenatal famine are common and timing- and sex-specific. Hum. Mol. Genet. 2009, 18, 4046–4053. [Google Scholar] [CrossRef] [PubMed]
- Painter, R.C.; Roseboom, T.J.; Bleker, O.P. Prenatal exposure to the Dutch famine and disease in later life: an overview. Reprod. Toxicol. 2005, 20, 345–352. [Google Scholar] [CrossRef] [PubMed]
- Roseboom, T.J.; van der Meulen, J.H.; Ravelli, A.C.; Osmond, C.; Barker, D.J.; Bleker, O.P. Effects of prenatal exposure to the Dutch famine on adult disease in later life: an overview. Mol. Cell. Endocrinol. 2001, 185, 93–98. [Google Scholar] [CrossRef] [PubMed]
- Muroya, S.; Ojima, K.; Shimamoto, S.; Sugasawa, T.; Gotoh, T. Promoter H3K4me3 and Gene Expression Involved in Systemic Metabolism Are Altered in Fetal Calf Liver of Nutrient-Restricted Dams. Int. J. Mol. Sci. 2025, 26. [Google Scholar] [CrossRef] [PubMed]
- Kato, S.; Waki, H. Decoding the Adipocyte Epigenome: Differentiation, Metabolic Memory, and Obesity. J. Obes. Metab. Syndr. 2025, 34, 378–393. [Google Scholar] [CrossRef] [PubMed]
- Agagunduz, D.; Celik, M.N.; Deniz Gunes, B.; Atabilen, B.; Sarikaya, B.; Icer, M.A.; Budan, F. Involvement of miRNAs in the Cluster of Metabolic Factors of MetS: Nutrition-Genome-MetS Axis. J. Clin. Med. 2025, 14. [Google Scholar] [CrossRef] [PubMed]
- Gomaa, N.; Konwar, C.; Gladish, N.; Au-Young, S.H.; Guo, T.; Sheng, M.; Merrill, S.M.; Kelly, E.; Chau, V.; Branson, H.M.; et al. Association of Pediatric Buccal Epigenetic Age Acceleration With Adverse Neonatal Brain Growth and Neurodevelopmental Outcomes Among Children Born Very Preterm With a Neonatal Infection. JAMA Netw. Open 2022, 5, e2239796. [Google Scholar] [CrossRef] [PubMed]
- Ladd-Acosta, C.; Vang, E.; Barrett, E.S.; Bulka, C.M.; Bush, N.R.; Cardenas, A.; Dabelea, D.; Dunlop, A.L.; Fry, R.C.; Gao, X.; et al. Analysis of Pregnancy Complications and Epigenetic Gestational Age of Newborns. JAMA Netw. Open 2023, 6, e230672. [Google Scholar] [CrossRef] [PubMed]
- Ashraf, U.M.; Hall, D.L.; Rawls, A.Z.; Alexander, B.T. Epigenetic processes during preeclampsia and effects on fetal development and chronic health. Clin. Sci. 2021, 135, 2307–2327. [Google Scholar] [CrossRef] [PubMed]
- Plagemann, A.; Harder, T.; Brunn, M.; Harder, A.; Roepke, K.; Wittrock-Staar, M.; Ziska, T.; Schellong, K.; Rodekamp, E.; Melchior, K.; et al. Hypothalamic proopiomelanocortin promoter methylation becomes altered by early overfeeding: an epigenetic model of obesity and the metabolic syndrome. J. Physiol. 2009, 587, 4963–4976. [Google Scholar] [CrossRef] [PubMed]
- Vickers, M.H.; Breier, B.H.; Cutfield, W.S.; Hofman, P.L.; Gluckman, P.D. Fetal origins of hyperphagia, obesity, and hypertension and postnatal amplification by hypercaloric nutrition. Am. J. Physiol. Endocrinol. Metab. 2000, 279, E83-87. [Google Scholar] [CrossRef] [PubMed]
- Mall, S.; Oladun, B.; Kim, M.H. Maternal Nutrition and Hypothalamic Programming of Offspring Metabolic Health. J. Nutr. 2026, 156, 101515. [Google Scholar] [CrossRef] [PubMed]
- Aghara, H.; Patel, M.; Chadha, P.; Parwani, K.; Chaturvedi, R.; Mandal, P. Unraveling the Gut-Liver-Brain Axis: Microbiome, Inflammation, and Emerging Therapeutic Approaches. Mediat. Inflamm. 2025, 2025, 6733477. [Google Scholar] [CrossRef] [PubMed]
- Zhou, J.; Zhu, B.; Bing, Z.; Wang, T.; Zhao, Y. The Gut-Liver Axis in MASLD: From Host-Microbiome Crosstalk to Precision Therapeutics. Microorganisms 2026, 14. [Google Scholar] [CrossRef] [PubMed]
- Du, Y.; He, C.; An, Y.; Huang, Y.; Zhang, H.; Fu, W.; Wang, M.; Shan, Z.; Xie, J.; Yang, Y.; et al. The Role of Short Chain Fatty Acids in Inflammation and Body Health. Int. J. Mol. Sci. 2024, 25. [Google Scholar] [CrossRef] [PubMed]
- Tain, Y.L.; Hsu, C.N. Nutritional Approaches Targeting Gut Microbiota in Oxidative-Stress-Associated Metabolic Syndrome: Focus on Early Life Programming. Nutrients 2024, 16. [Google Scholar] [CrossRef] [PubMed]
- Tain, Y.L.; Hsu, C.N. Metabolic Syndrome Programming and Reprogramming: Mechanistic Aspects of Oxidative Stress. Antioxidants 2022, 11. [Google Scholar] [CrossRef] [PubMed]
- Thompson, L.P.; Al-Hasan, Y. Impact of oxidative stress in fetal programming. J. Pregnancy 2012, 2012, 582748. [Google Scholar] [CrossRef] [PubMed]
- Tain, Y.L.; Lee, W.C.; Hsu, C.N.; Lee, W.C.; Huang, L.T.; Lee, C.T.; Lin, C.Y. Asymmetric dimethylarginine is associated with developmental programming of adult kidney disease and hypertension in offspring of streptozotocin-treated mothers. PLoS ONE 2013, 8, e55420. [Google Scholar] [CrossRef] [PubMed]
- Altanam, S.Y.; Darwish, N.; Bakillah, A. Exploring the Interplay of Antioxidants, Inflammation, and Oxidative Stress: Mechanisms, Therapeutic Potential, and Clinical Implications. Diseases 2025, 13. [Google Scholar] [CrossRef] [PubMed]
- Ozsurekci, Y.; Aykac, K. Oxidative Stress Related Diseases in Newborns. Oxidative Med. Cell. Longev. 2016, 2016, 2768365. [Google Scholar] [CrossRef] [PubMed]
- Manful, C.F.; Fordjour, E.; Ikumoinein, E.; Abbey, L.; Thomas, R. Therapeutic Strategies Targeting Oxidative Stress and Inflammation: A Narrative Review. BioChem 2025, 5, 35. [Google Scholar] [CrossRef]
- Stephenson, J.; Heslehurst, N.; Hall, J.; Schoenaker, D.; Hutchinson, J.; Cade, J.E.; Poston, L.; Barrett, G.; Crozier, S.R.; Barker, M.; et al. Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health. Lancet 2018, 391, 1830–1841. [Google Scholar] [CrossRef] [PubMed]
- Hill, D.J.; Hill, T.G. Maternal diet during pregnancy and adaptive changes in the maternal and fetal pancreas have implications for future metabolic health. Front. Endocrinol. 2024, 15, 1456629. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Wang, K.; Du, M.; Khandpur, N.; Rossato, S.L.; Lo, C.H.; VanEvery, H.; Kim, D.Y.; Zhang, F.F.; Chavarro, J.E.; et al. Maternal consumption of ultra-processed foods and subsequent risk of offspring overweight or obesity: results from three prospective cohort studies. BMJ 2022, 379, e071767. [Google Scholar] [CrossRef] [PubMed]
- Akhatova, A.; Jones, C.; Coward, K.; Yeste, M. How do lifestyle and environmental factors influence the sperm epigenome? Effects on sperm fertilising ability, embryo development, and offspring health. Clin. Epigenet. 2025, 17, 7. [Google Scholar] [CrossRef] [PubMed]
- Lecorguille, M.; Teo, S.; Phillips, C.M. Maternal Dietary Quality and Dietary Inflammation Associations with Offspring Growth, Placental Development, and DNA Methylation. Nutrients 2021, 13. [Google Scholar] [CrossRef] [PubMed]
- Waterland, R.A.; Kellermayer, R.; Laritsky, E.; Rayco-Solon, P.; Harris, R.A.; Travisano, M.; Zhang, W.; Torskaya, M.S.; Zhang, J.; Shen, L.; et al. Season of conception in rural gambia affects DNA methylation at putative human metastable epialleles. PLoS Genet. 2010, 6, e1001252. [Google Scholar] [CrossRef] [PubMed]
- Barker, D.J.; Bull, A.R.; Osmond, C.; Simmonds, S.J. Fetal and placental size and risk of hypertension in adult life. BMJ 1990, 301, 259–262. [Google Scholar] [CrossRef] [PubMed]
- Rosenberg, A. The IUGR newborn. Semin. Perinatol. 2008, 32, 219–224. [Google Scholar] [CrossRef] [PubMed]
- Wu, T.; Zhang, W.; Wang, Y.; Luo, H.; Li, Y. The molecular mechanisms of IUGR programmed adulthood cardiovascular disease. Front. Cell Dev. Biol. 2025, 13, 1589038. [Google Scholar] [CrossRef] [PubMed]
- Law, C.M.; Shiell, A.W.; Newsome, C.A.; Syddall, H.E.; Shinebourne, E.A.; Fayers, P.M.; Martyn, C.N.; de Swiet, M. Fetal, infant, and childhood growth and adult blood pressure: a longitudinal study from birth to 22 years of age. Circulation 2002, 105, 1088–1092. [Google Scholar] [CrossRef] [PubMed]
- Rock, C.R.; White, T.A.; Piscopo, B.R.; Sutherland, A.E.; Miller, S.L.; Camm, E.J.; Allison, B.J. Cardiovascular and Cerebrovascular Implications of Growth Restriction: Mechanisms and Potential Treatments. Int. J. Mol. Sci. 2021, 22. [Google Scholar] [CrossRef] [PubMed]
- Wixey, J.A.; Chand, K.K.; Colditz, P.B.; Bjorkman, S.T. Review: Neuroinflammation in intrauterine growth restriction. Placenta 2017, 54, 117–124. [Google Scholar] [CrossRef] [PubMed]
- Cauzzo, C.; Chiavaroli, V.; Di Valerio, S.; Chiarelli, F. Birth size, growth trajectory and later cardio-metabolic risk. Front. Endocrinol. 2023, 14, 1187261. [Google Scholar] [CrossRef] [PubMed]
- Crump, C.; Sundquist, J.; Sundquist, K. Association of preterm birth with lipid disorders in early adulthood: A Swedish cohort study. PLoS Med. 2019, 16, e1002947. [Google Scholar] [CrossRef] [PubMed]
- Darlow, B.A.; Martin, J.; Horwood, L.J. Metabolic Syndrome in Very Low Birth Weight Young Adults and Controls: The New Zealand 1986 VLBW Study. J. Pediatr. 2019, 206, 128–133 e125. [Google Scholar] [CrossRef] [PubMed]
- Druet, C.; Stettler, N.; Sharp, S.; Simmons, R.K.; Cooper, C.; Smith, G.D.; Ekelund, U.; Levy-Marchal, C.; Jarvelin, M.R.; Kuh, D.; et al. Prediction of childhood obesity by infancy weight gain: an individual-level meta-analysis. Paediatr. Perinat. Epidemiol. 2012, 26, 19–26. [Google Scholar] [CrossRef] [PubMed]
- Monteiro, P.O.; Victora, C.G. Rapid growth in infancy and childhood and obesity in later life--a systematic review. Obesity reviews: an official journal of the International Association for the Study of Obesity 2005, 6, 143–154. [Google Scholar] [CrossRef] [PubMed]
- Andersen, L.G.; Angquist, L.; Eriksson, J.G.; Forsen, T.; Gamborg, M.; Osmond, C.; Baker, J.L.; Sorensen, T.I. Birth weight, childhood body mass index and risk of coronary heart disease in adults: combined historical cohort studies. PLoS ONE 2010, 5, e14126. [Google Scholar] [CrossRef] [PubMed]
- Koletzko, B.; Broekaert, I.; Demmelmair, H.; Franke, J.; Hannibal, I.; Oberle, D.; Schiess, S.; Baumann, B.T.; Verwied-Jorky, S.; Project, E.U.C.O. Protein intake in the first year of life: a risk factor for later obesity? The E.U. childhood obesity project. Adv. Exp. Med. Biol. 2005, 569, 69–79. [Google Scholar] [CrossRef] [PubMed]
- Stokes, A.; Campbell, K.J.; Yu, H.J.; Szymlek-Gay, E.A.; Abbott, G.; He, Q.Q.; Zheng, M. Protein Intake from Birth to 2 Years and Obesity Outcomes in Later Childhood and Adolescence: A Systematic Review of Prospective Cohort Studies. Adv. Nutr. 2021, 12, 1863–1876. [Google Scholar] [CrossRef] [PubMed]
- Stevani, H.; Habibie, H.; Asbah, A.; Nainu, F. Reorienting catch-up growth research toward early-life prevention of metabolic disorders using natural products. Front. Endocrinol. 2026, 17, 1800979. [Google Scholar] [CrossRef] [PubMed]
- Hales, C.N.; Ozanne, S.E. The dangerous road of catch-up growth. J. Physiol. 2003, 547, 5–10. [Google Scholar] [CrossRef] [PubMed]
- Martin, F.P.; Moco, S.; Montoliu, I.; Collino, S.; Da Silva, L.; Rezzi, S.; Prieto, R.; Kussmann, M.; Inostroza, J.; Steenhout, P. Impact of breast-feeding and high- and low-protein formula on the metabolism and growth of infants from overweight and obese mothers. Pediatr. Res. 2014, 75, 535–543. [Google Scholar] [CrossRef] [PubMed]
- Oropeza-Ceja, L.G.; Rosado, J.L.; Ronquillo, D.; Garcia, O.P.; Caamano, M.D.C.; Garcia-Ugalde, C.; Viveros-Contreras, R.; Duarte-Vazquez, M.A. Lower Protein Intake Supports Normal Growth of Full-Term Infants Fed Formula: A Randomized Controlled Trial. Nutrients 2018, 10. [Google Scholar] [CrossRef] [PubMed]
- Suikkanen, J.; Matinolli, H.M.; Eriksson, J.G.; Jarvenpaa, A.L.; Andersson, S.; Kajantie, E.; Hovi, P. Early postnatal nutrition after preterm birth and cardiometabolic risk factors in young adulthood. PLoS ONE 2018, 13, e0209404. [Google Scholar] [CrossRef] [PubMed]
- Luque, V.; Closa-Monasterolo, R.; Escribano, J.; Ferre, N. Early Programming by Protein Intake: The Effect of Protein on Adiposity Development and the Growth and Functionality of Vital Organs. Nutr. Metab. Insights 2015, 8, 49–56. [Google Scholar] [CrossRef] [PubMed]
- Adair, L.S.; Fall, C.H.; Osmond, C.; Stein, A.D.; Martorell, R.; Ramirez-Zea, M.; Sachdev, H.S.; Dahly, D.L.; Bas, I.; Norris, S.A.; et al. Associations of linear growth and relative weight gain during early life with adult health and human capital in countries of low and middle income: findings from five birth cohort studies. Lancet 2013, 382, 525–534. [Google Scholar] [CrossRef] [PubMed]
- Belfort, M.B.; Rifas-Shiman, S.L.; Sullivan, T.; Collins, C.T.; McPhee, A.J.; Ryan, P.; Kleinman, K.P.; Gillman, M.W.; Gibson, R.A.; Makrides, M. Infant growth before and after term: effects on neurodevelopment in preterm infants. Pediatrics 2011, 128, e899-906. [Google Scholar] [CrossRef] [PubMed]
- Ong, K.K.; Kennedy, K.; Castaneda-Gutierrez, E.; Forsyth, S.; Godfrey, K.M.; Koletzko, B.; Latulippe, M.E.; Ozanne, S.E.; Rueda, R.; Schoemaker, M.H.; et al. Postnatal growth in preterm infants and later health outcomes: a systematic review. Acta Paediatr. 2015, 104, 974–986. [Google Scholar] [CrossRef] [PubMed]
- Ramel, S.E.; Demerath, E.W.; Gray, H.L.; Younge, N.; Boys, C.; Georgieff, M.K. The relationship of poor linear growth velocity with neonatal illness and two-year neurodevelopment in preterm infants. Neonatology 2012, 102, 19–24. [Google Scholar] [CrossRef] [PubMed]
- Cameron, N.; Preece, M.A.; Cole, T.J. Catch-up growth or regression to the mean? Recovery from stunting revisited. Am. J. Hum. Biol. Off. J. Hum. Biol. Counc. 2005, 17, 412–417. [Google Scholar] [CrossRef] [PubMed]
- Ong, K.K.; Ahmed, M.L.; Emmett, P.M.; Preece, M.A.; Dunger, D.B. Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. BMJ 2000, 320, 967–971. [Google Scholar] [CrossRef] [PubMed]
- Dulloo, A.G.; Jacquet, J.; Seydoux, J.; Montani, J.P. The thrifty 'catch-up fat' phenotype: its impact on insulin sensitivity during growth trajectories to obesity and metabolic syndrome. Int. J. Obes. 2006, 30 Suppl 4, S23–35. [Google Scholar] [CrossRef] [PubMed]
- Kelishadi, R.; Haghdoost, A.A.; Jamshidi, F.; Aliramezany, M.; Moosazadeh, M. Low birthweight or rapid catch-up growth: which is more associated with cardiovascular disease and its risk factors in later life? A systematic review and cryptanalysis. Paediatr. Int. Child Health 2015, 35, 110–123. [Google Scholar] [CrossRef] [PubMed]
- Chomtho, S.; Wells, J.C.; Williams, J.E.; Davies, P.S.; Lucas, A.; Fewtrell, M.S. Infant growth and later body composition: evidence from the 4-component model. Am. J. Clin. Nutr. 2008, 87, 1776–1784. [Google Scholar] [CrossRef] [PubMed]
- Wells, J.C.; Chomtho, S.; Fewtrell, M.S. Programming of body composition by early growth and nutrition. Proc. Nutr. Soc. 2007, 66, 423–434. [Google Scholar] [CrossRef] [PubMed]
- Ramel, S.E.; Gray, H.L.; Ode, K.L.; Younge, N.; Georgieff, M.K.; Demerath, E.W. Body composition changes in preterm infants following hospital discharge: comparison with term infants. J. Pediatr. Gastroenterol. Nutr. 2011, 53, 333–338. [Google Scholar] [CrossRef] [PubMed]
- Fabricius-Bjerre, S.; Jensen, R.B.; Faerch, K.; Larsen, T.; Molgaard, C.; Michaelsen, K.F.; Vaag, A.; Greisen, G. Impact of birth weight and early infant weight gain on insulin resistance and associated cardiovascular risk factors in adolescence. PLoS ONE 2011, 6, e20595. [Google Scholar] [CrossRef] [PubMed]
- Clark, R.H.; Thomas, P.; Peabody, J. Extrauterine growth restriction remains a serious problem in prematurely born neonates. Pediatrics 2003, 111, 986–990. [Google Scholar] [CrossRef] [PubMed]
- Ruys, C.A.; van de Lagemaat, M.; Rotteveel, J.; Finken, M.J.J.; Lafeber, H.N. Improving long-term health outcomes of preterm infants: how to implement the findings of nutritional intervention studies into daily clinical practice. Eur. J. Pediatr. 2021, 180, 1665–1673. [Google Scholar] [CrossRef] [PubMed]
- Alanazi, M.; Altawili, M.A.; Khayyal, A.I.; Alahmari, A.S.; Alhakami, A.A.; Alshehri, A.M.A. Impact of Early Nutrition Interventions on the Growth and Development of Preterm Infants: A Narrative Review. Cureus 2024, 16, e54888. [Google Scholar] [CrossRef] [PubMed]
- Skinner, A.M.; Narchi, H. Preterm nutrition and neurodevelopmental outcomes. World J. Methodol. 2021, 11, 278–293. [Google Scholar] [CrossRef] [PubMed]
- Thureen, P.J.; Melara, D.; Fennessey, P.V.; Hay, W.W., Jr. Effect of low versus high intravenous amino acid intake on very low birth weight infants in the early neonatal period. Pediatr. Res. 2003, 53, 24–32. [Google Scholar] [CrossRef] [PubMed]
- De Curtis, M.; Rigo, J. The nutrition of preterm infants. Early Hum. Dev. 2012, 88 Suppl 1, S5–7. [Google Scholar] [CrossRef] [PubMed]
- Ehrenkranz, R.A.; Dusick, A.M.; Vohr, B.R.; Wright, L.L.; Wrage, L.A.; Poole, W.K. Growth in the neonatal intensive care unit influences neurodevelopmental and growth outcomes of extremely low birth weight infants. Pediatrics 2006, 117, 1253–1261. [Google Scholar] [CrossRef] [PubMed]
- Franz, A.R.; Pohlandt, F.; Bode, H.; Mihatsch, W.A.; Sander, S.; Kron, M.; Steinmacher, J. Intrauterine, early neonatal, and postdischarge growth and neurodevelopmental outcome at 5.4 years in extremely preterm infants after intensive neonatal nutritional support. Pediatrics 2009, 123, e101-109. [Google Scholar] [CrossRef] [PubMed]
- Morris, M.; Bennett, S.; Drake, L.; Hetherton, M.C.; Clifton-Koeppel, R.; Schroeder, H.; Breault, C.; Larson, K. Multidisciplinary evidence-based tools for improving consistency of care and neonatal nutrition. J. Perinatol. Off. J. Calif. Perinat. Assoc. 2024, 44, 751–759. [Google Scholar] [CrossRef] [PubMed]
- Ziegler, E.E. Meeting the nutritional needs of the low-birth-weight infant. Ann. Nutr. Metab. 2011, 58 Suppl 1, 8–18. [Google Scholar] [CrossRef] [PubMed]
- van Goudoever, J.B.; Carnielli, V.; Darmaun, D.; Sainz de Pipaon, M.; nutrition, E.E.E.C. w.g.o.p.p. ESPGHAN/ESPEN/ESPR/CSPEN guidelines on pediatric parenteral nutrition: Amino acids. Clin. Nutr. 2018, 37, 2315–2323. [Google Scholar] [CrossRef] [PubMed]
- Lygerou, I.; Ilia, S.; Briassoulis, P.; Manousaki, A.; Koropouli, M.; Hatzidaki, E.; Briassoulis, G. The Impact of Estimated Energy and Protein Balances on Extrauterine Growth in Preterm Infants. Nutrients 2023, 15. [Google Scholar] [CrossRef] [PubMed]
- Poindexter, B.; Koletzko, B.; Uauy, R. Nutritional care of preterm infants: Scientific basis and practical guidelines; S. Karger AG: Basel (Switzerland), 2014; Volume 110, p. 314. [Google Scholar]
- Eidelman, A.I.; Schanler, R.J.; Johnston, M.; Landers, S.; Noble, L.; Szucs, K.; Viehmann, L.; Section on, B. Breastfeeding and the use of human milk. Pediatrics 2012, 129, e827-841. [Google Scholar] [CrossRef] [PubMed]
- Meek, J.Y.; Noble, L.; Section on, B. Policy Statement: Breastfeeding and the Use of Human Milk. Pediatrics 2022, 150. [Google Scholar] [CrossRef] [PubMed]
- Nava, C.; Lupo, E.; Lista, G. Preterm nutrition and brain development. BMJ Nutr. Prev. Health 2024, 0, e000749. [Google Scholar] [CrossRef]
- Fabrizio, V.; Trzaski, J.M.; Brownell, E.A.; Esposito, P.; Lainwala, S.; Lussier, M.M.; Hagadorn, J.I. Individualized versus standard diet fortification for growth and development in preterm infants receiving human milk. Cochrane Database Syst. Rev. 2020, 11, CD013465. [Google Scholar] [CrossRef] [PubMed]
- Agostoni, C.; Buonocore, G.; Carnielli, V.P.; De Curtis, M.; Darmaun, D.; Decsi, T.; Domellof, M.; Embleton, N.D.; Fusch, C.; Genzel-Boroviczeny, O.; et al. Enteral nutrient supply for preterm infants: commentary from the European Society of Paediatric Gastroenterology, Hepatology and Nutrition Committee on Nutrition. J. Pediatr. Gastroenterol. Nutr. 2010, 50, 85–91. [Google Scholar] [CrossRef] [PubMed]
- Cho, H.; Lee, Y.; Oh, S.; Heo, J.S. Risk factors and outcomes of vitamin D deficiency in very preterm infants. Pediatr. Neonatol. 2025, 66, 31–36. [Google Scholar] [CrossRef] [PubMed]
- Hortensius, L.M.; van Elburg, R.M.; Nijboer, C.H.; Benders, M.; de Theije, C.G.M. Postnatal Nutrition to Improve Brain Development in the Preterm Infant: A Systematic Review From Bench to Bedside. Front. Physiol. 2019, 10, 961. [Google Scholar] [CrossRef] [PubMed]
- Gounaris, A.K.; Sokou, R. Nutrition and Growth of Preterm Neonates during Hospitalization: Impact on Childhood Outcomes. Nutrients 2024, 16. [Google Scholar] [CrossRef] [PubMed]
- Martin, R.M.; Gunnell, D.; Smith, G.D. Breastfeeding in infancy and blood pressure in later life: systematic review and meta-analysis. Am. J. Epidemiol. 2005, 161, 15–26. [Google Scholar] [CrossRef] [PubMed]
- Owen, C.G.; Whincup, P.H.; Gilg, J.A.; Cook, D.G. Effect of breast feeding in infancy on blood pressure in later life: systematic review and meta-analysis. BMJ 2003, 327, 1189–1195. [Google Scholar] [CrossRef] [PubMed]
- Owen, C.G.; Martin, R.M.; Whincup, P.H.; Smith, G.D.; Cook, D.G. Does breastfeeding influence risk of type 2 diabetes in later life? A quantitative analysis of published evidence. Am. J. Clin. Nutr. 2006, 84, 1043–1054. [Google Scholar] [CrossRef] [PubMed]
- Arenz, S.; Ruckerl, R.; Koletzko, B.; von Kries, R. Breast-feeding and childhood obesity--a systematic review. International journal of obesity and related metabolic disorders: journal of the International Association for the Study of Obesity 2004, 28, 1247–1256. [Google Scholar] [CrossRef] [PubMed]
- Harder, T.; Bergmann, R.; Kallischnigg, G.; Plagemann, A. Duration of breastfeeding and risk of overweight: a meta-analysis. Am. J. Epidemiol. 2005, 162, 397–403. [Google Scholar] [CrossRef] [PubMed]
- Owen, C.G.; Whincup, P.H.; Kaye, S.J.; Martin, R.M.; Davey Smith, G.; Cook, D.G.; Bergstrom, E.; Black, S.; Wadsworth, M.E.; Fall, C.H.; et al. Does initial breastfeeding lead to lower blood cholesterol in adult life? A quantitative review of the evidence. Am. J. Clin. Nutr. 2008, 88, 305–314. [Google Scholar] [CrossRef] [PubMed]
- Isaacs, E.B.; Fischl, B.R.; Quinn, B.T.; Chong, W.K.; Gadian, D.G.; Lucas, A. Impact of breast milk on intelligence quotient, brain size, and white matter development. Pediatr. Res. 2010, 67, 357–362. [Google Scholar] [CrossRef] [PubMed]
- Isaacs, E.B.; Morley, R.; Lucas, A. Early diet and general cognitive outcome at adolescence in children born at or below 30 weeks gestation. J. Pediatr. 2009, 155, 229–234. [Google Scholar] [CrossRef] [PubMed]
- Medicine, I.o. Weight Gain During Pregnancy: Reexamining the Guidelines; Rasmussen, K.M., Yaktine, A.L., Eds.; The National Academies Collection: Reports funded by National Institutes of Health: Washington (DC), 2009. [Google Scholar]
- Hart, K.H.; Hill, A.J.; Gonzalez, J.T.; de la Hunty, A.; Gallagher, A.M.; Stanner, S.A. Diet in Pregnancy: A Review of Current Challenges and Recommendations. A British Nutrition Foundation Briefing Paper. Nutr. Bull. 2025, 50, 365–410. [Google Scholar] [CrossRef] [PubMed]
- Anderson, A.S. Symposium on 'nutritional adaptation to pregnancy and lactation'. Pregnancy as a time for dietary change? Proc. Nutr. Soc. 2001, 60, 497–504. [Google Scholar] [CrossRef] [PubMed]
- Mehta, S.H. Nutrition and pregnancy. Clin. Obstet. Gynecol. 2008, 51, 409–418. [Google Scholar] [CrossRef] [PubMed]
- Stotland, N.E.; Cheng, Y.W.; Hopkins, L.M.; Caughey, A.B. Gestational weight gain and adverse neonatal outcome among term infants. Obstet. Gynecol. 2006, 108, 635–643. [Google Scholar] [CrossRef] [PubMed]
- Victora, C.G.; Bahl, R.; Barros, A.J.; Franca, G.V.; Horton, S.; Krasevec, J.; Murch, S.; Sankar, M.J.; Walker, N.; Rollins, N.C.; et al. Breastfeeding in the 21st century: epidemiology, mechanisms, and lifelong effect. Lancet 2016, 387, 475–490. [Google Scholar] [CrossRef] [PubMed]
- Lanigan, J.A.; Bishop, J.; Kimber, A.C.; Morgan, J. Systematic review concerning the age of introduction of complementary foods to the healthy full-term infant. Eur. J. Clin. Nutr. 2001, 55, 309–320. [Google Scholar] [CrossRef] [PubMed]
- Kramer, M.S.; Kakuma, R. The optimal duration of exclusive breastfeeding: a systematic review. Adv. Exp. Med. Biol. 2004, 554, 63–77. [Google Scholar] [CrossRef] [PubMed]
- Wilson, A.C.; Forsyth, J.S.; Greene, S.A.; Irvine, L.; Hau, C.; Howie, P.W. Relation of infant diet to childhood health: seven year follow up of cohort of children in Dundee infant feeding study. BMJ 1998, 316, 21–25. [Google Scholar] [CrossRef] [PubMed]
- Nicklas, T.A.; Farris, R.P.; Smoak, C.G.; Frank, G.C.; Srinivasan, S.R.; Webber, L.S.; Berenson, G.S. Dietary factors relate to cardiovascular risk factors in early life. Bogalusa Heart Study. Arteriosclerosis 1988, 8, 193–199. [Google Scholar] [CrossRef] [PubMed]
- Carnell, S.; Wardle, J. Appetite and adiposity in children: evidence for a behavioral susceptibility theory of obesity. Am. J. Clin. Nutr. 2008, 88, 22–29. [Google Scholar] [CrossRef] [PubMed]
- Gunther, A.L.; Buyken, A.E.; Kroke, A. Protein intake during the period of complementary feeding and early childhood and the association with body mass index and percentage body fat at 7 y of age. Am. J. Clin. Nutr. 2007, 85, 1626–1633. [Google Scholar] [CrossRef] [PubMed]
- de Onis, M.; Garza, C.; Onyango, A.W.; Rolland-Cachera, M.F. le Comite de nutrition de la Societe francaise de, p. [WHO growth standards for infants and young children]. Archives de pediatrie: organe officiel de la Societe francaise de pediatrie 2009, 16, 47–53. [Google Scholar] [CrossRef] [PubMed]
- Fenton, T.R.; Elmrayed, S.; Alshaikh, B.N. Fenton Third-Generation Growth Charts of Preterm Infants Without Abnormal Fetal Growth: A Systematic Review and Meta-Analysis. Paediatr. Perinat. Epidemiol. 2025, 39, 543–555. [Google Scholar] [CrossRef] [PubMed]
- Papageorghiou, A.T.; Kennedy, S.H.; Salomon, L.J.; Altman, D.G.; Ohuma, E.O.; Stones, W.; Gravett, M.G.; Barros, F.C.; Victora, C.; Purwar, M.; et al. The INTERGROWTH-21(st) fetal growth standards: toward the global integration of pregnancy and pediatric care. Am. J. Obstet. Gynecol. 2018, 218, S630–S640. [Google Scholar] [CrossRef] [PubMed]
- Strauss, T.; Horvath, S.; Kennedy, B.K.; Walker, M.; Shah, P.S.; Zhavoronkov, A.; Rando, T.A.; Bischof, E. PROSPER — a life-course consortium for biological ageing from preconception to adulthood. Nat. Health 2026. [Google Scholar] [CrossRef]
- Kennedy, B.K.; Berger, S.L.; Brunet, A.; Campisi, J.; Cuervo, A.M.; Epel, E.S.; Franceschi, C.; Lithgow, G.J.; Morimoto, R.I.; Pessin, J.E.; et al. Geroscience: linking aging to chronic disease. Cell 2014, 159, 709–713. [Google Scholar] [CrossRef] [PubMed]
- Lopez-Otin, C.; Blasco, M.A.; Partridge, L.; Serrano, M.; Kroemer, G. Hallmarks of aging: An expanding universe. Cell 2023, 186, 243–278. [Google Scholar] [CrossRef] [PubMed]
- Horvath, S.; Raj, K. DNA methylation-based biomarkers and the epigenetic clock theory of ageing. Nat. Rev. Genet. 2018, 19, 371–384. [Google Scholar] [CrossRef] [PubMed]
- Knight, A.K.; Craig, J.M.; Theda, C.; Baekvad-Hansen, M.; Bybjerg-Grauholm, J.; Hansen, C.S.; Hollegaard, M.V.; Hougaard, D.M.; Mortensen, P.B.; Weinsheimer, S.M.; et al. An epigenetic clock for gestational age at birth based on blood methylation data. Genome Biol. 2016, 17, 206. [Google Scholar] [CrossRef] [PubMed]


|
Key process / Target |
Early-life trigger | Molecular or structural change |
Long-term consequence (representative evidence) |
| Structural & functional organ deficits (“reduced functional units”) | |||
| Kidney — nephrogenesis | Preterm birth (nephrogenesis completes 34–36 wk; >60% of nephrons form in the 3rd trimester) | ↓ nephron endowment (up to one-quarter to one-third fewer) → compensatory hyperfiltration | Hypertension and chronic kidney disease; higher systolic/diastolic blood pressure in preterm adults |
| Pancreas — β-cell development | Under-nutrition / preterm birth during 3rd-trimester–early-postnatal window | ↓ islet / β-cell number and insulin secretory capacity | Glucose intolerance and type 2 diabetes |
| Heart — cardiomyogenesis | Preterm birth; altered loading | ↓ cardiomyocyte number; altered cardiac geometry | ↑ risk of heart failure and arrhythmia in later life |
| Skeletal muscle — myogenesis | Fetal nutrient restriction | ↓ muscle mass → ↓ basal metabolic rate & exercise capacity | Predisposition to obesity and insulin resistance |
| Liver — hepatic development | Fetal programming | Altered lipid-metabolism capacity | Non-alcoholic fatty liver disease (preterm RR 1.26) |
| Adipose tissue | Maternal obesity; late-fetal specification of adipocyte progenitors | Altered adipocyte progenitor pool and adipose-expansion trajectory | Accelerated early adiposity → childhood and adult obesity |
| Epigenetic mechanisms (mitotically heritable; no change in DNA sequence) | |||
| DNA methylation | Maternal diet / methyl-donor supply; famine | Altered CpG methylation of metabolic-gene promoters (e.g. IGF-2; agouti model) | Persistent altered gene expression and metabolic-disease susceptibility (Dutch famine: change measurable ~60 y later) |
| Histone modification | Under-nutrition; cofactor (acetyl-CoA, S-adenosyl-methionine) availability | Shifted H3K4me3 (active) / H3K27me3 (repressive) marks at metabolic promoters | Altered glucose-metabolism, adipogenic and inflammatory gene programs |
| Non-coding RNA | Maternal nutritional status; growth restriction | Differential miRNA / lncRNA expression in placenta and fetal tissues | Dysregulated insulin signalling, adipogenesis and inflammation |
| Epigenetic clocks | Extreme prematurity | Accelerated biological (PedBE) age at term-equivalent age | Smaller brain volumes and worse neurodevelopment — a risk biomarker |
| Hormonal, microbiome & oxidative mechanisms | |||
| Hormonal reprogramming | Early over- or under-nutrition; high early protein | Altered leptin / insulin set-points; programming of hypothalamic NPY–AgRP appetite circuits; ↑ IGF-1 | ↑ appetite and ↓ energy expenditure → obesity; the “early-protein” effect on weight gain and blood pressure |
| Gut-microbiome dysbiosis | Caesarean delivery, broad-spectrum antibiotics, delayed enteral feeds, prolonged parenteral nutrition | ↓ diversity and Bifidobacterium; Enterobacteriaceae dominance; ↓ short-chain fatty acids | Intestinal barrier failure, systemic inflammation, adipose programming and insulin resistance; human-milk oligosaccharides are protective |
| Oxidative stress | Antioxidant immaturity, supplemental O₂, infection, ischemia–reperfusion; maternal obesity/pre-eclampsia | ROS–antioxidant imbalance; perturbed nitric-oxide–ADMA axis | Maladaptive cardiovascular–kidney–metabolic programming → hypertension and chronic kidney disease |
| Study (first author, year) | Population / cohort (n) | Design & exposure | Principal long-term findings |
| Barker, 1989–90 [20,22] | England & Wales districts (ecological) | Geographical correlation study; infant mortality as marker of early-life deprivation | High infant-mortality districts (poverty, low birth weight) showed high coronary heart disease mortality 50–70 y later. Small size at birth linked to later hypertension, coronary heart disease and non-insulin-dependent diabetes — the foundation of the fetal-origins hypothesis. |
| Dutch Hunger Winter cohort [59,60,61,62] | Adults exposed in utero to the 1944–45 famine (rations 400–800 kcal/day) | Natural experiment; precisely timed prenatal undernutrition | Early-gestation exposure → higher adult BMI, cholesterol and coronary heart disease risk; late-gestation exposure → impaired glucose tolerance. ≈5% lower IGF-2 methylation was still measurable ~60 y later, specific to early-gestation exposure — evidence of durable epigenetic programming and critical windows. |
| Helsinki Birth Cohort [99] | Finnish men and women followed from birth | Longitudinal birth-cohort | The thinnest infants at birth who gained the most BMI by age 11 had a ~5-fold elevated risk of coronary heart disease as adults — low birth size plus rapid childhood weight gain confers the greatest risk. |
| Crump et al., 2019 [9] | Sweden — 2,141,709 singletons born 1973–1994 | National cohort; gestational age at birth; co-sibling analysis | At ages 30–43 y, preterm birth (<37 wk) was associated with a 53% higher risk of ischemic heart disease (adjusted HR 1.53; 95% CI 1.20–1.94); early-term (37–38 wk) HR 1.19. Relative risk higher in women (1.93) than men (1.37). Not explained by shared familial factors — supporting a causal role for preterm birth. |
| Markopoulou et al., 2019 [48] | Meta-analysis — 43 studies; 18,295 preterm vs 294,063 term-born adults | Systematic review & meta-analysis | Preterm-born adults had significantly higher fat mass, systolic and diastolic (incl. 24-h) blood pressure, fasting glucose and insulin, HOMA-IR and total cholesterol than term-born adults — establishing preterm birth as an independent risk factor for the metabolic syndrome. |
| Darlow et al. (New Zealand 1986 VLBW study) [96] | 229 VLBW survivors (<1500 g) + 100 controls, assessed at 27–29 y | Prospective cohort | VLBW adults were shorter; males had higher systolic blood pressure. Independent predictors of metabolic syndrome were male sex, gestational age <28 wk and BMI >90th centile at 7–8 y. The most premature (<28 wk) had OR 2–4 for metabolic syndrome — a dose–response with degree of prematurity. |
| Amadou et al., 2025 (Constances) [51] | France — 30,295 adults | Cohort; preterm birth vs non-preterm low birth weight (IUGR) | Preterm birth: obesity RR 1.25, hypertriglyceridemia 1.23, high LDL 1.16, high blood pressure 1.22, metabolic syndrome 1.35, NAFLD 1.26. Non-preterm LBW / IUGR: prediabetes-diabetes RR 1.30 and hypertension 1.22, but reduced obesity (0.83) and abdominal obesity (0.84) — distinct long-term phenotypes. |
| Suikkanen et al., 2018 (Helsinki VLBW) [106] | 166 VLBW adults born 1978–1985, with documented neonatal nutrition | Cohort linking recorded neonatal intake to adult outcomes | High protein and energy intake in the first weeks of life predicted higher insulin resistance in young adulthood — one of the rare direct links between documented neonatal nutrition and adult cardio-metabolic phenotype, supporting the “early-protein” hypothesis. |
| Gomaa et al. [66] | 35 very preterm neonates (24–32 wk) | Prospective; pediatric buccal epigenetic (PedBE) clock + brain MRI | Extremely preterm neonates (<28 wk) showed accelerated epigenetic ageing. Accelerated PedBE age at term-equivalent age independently predicted smaller cerebral volumes, slower brain growth and worse cognitive/language scores at 18 months — a candidate biomarker of neurodevelopmental risk. |
| Lucas — enriched vs standard preterm formula [30,147,148] | Preterm infants (26–34 wk) | Randomised controlled trial with long-term follow-up | A brief early dietary intervention affected brain development and IQ, with a ~6-point IQ advantage at age 16 in the enriched-diet group — the experimental basis of nutritional “programming” in preterm infants. |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).