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Effect of In Utero and Early-Life Conditions on Adult Health and Disease
Open accessAbstract
Many lines of evidence, including epidemiologic data and extensive clinical and experimental studies, indicate that early life events play a powerful role in influencing later susceptibility to certain chronic diseases. This review synthesizes evidence from several disciplines to support the contention that environmental factors acting during development should be accorded greater weight in models of disease causation.
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“The importance of balanced nutrition in early life for normal neurocognitive development, a process that is not finished until late adolescence, has been widely recognized.427”
From Vascular Contributions to Cognitive Impairment and Dementia: A Statement for Healthcare Professionals From the American Heart Association/American Stroke Association (2011) · cites this paper as [427]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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“The incidence ratio of offspring exposed to every type of maternal diabetes was increased by 29% compared to non-exposed offspring, and the increase in risk was observed in every age group (<20 years old; >20 years old) [33,62,63,64,65].”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [65]
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“Recent epidemiological studies show a relationship between an increased risk of cardiometabolic diseases in adulthood for offspring of women whose pregnancy has been complicated by GDM.”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [65]
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“In another aspect, given that epigenetic signatures are specific to each tissue, various studies affirm that metabolic syndromes involve the reprogramming of the epigenetic landscape in a certain time and space.”
From Revisiting Epigenetics Fundamentals and Its Biomedical Implications (2024) · cites this paper as [96]
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“In this case, there is a growing amount of evidence that correlates prenatal stress-related situations involved in diseases that emerge either early pre-gestational stages or in adulthood.”
From Revisiting Epigenetics Fundamentals and Its Biomedical Implications (2024) · cites this paper as [96]
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“The collective evidence from epidemiological studies, clinical cohorts and animal model experiments supports the theory that environmental exposures in early life can determine the long-term health of individuals, including cardiovascular and metabolic diseases [36,37].”
From Recent Experimental Studies of Maternal Obesity, Diabetes during Pregnancy and the Developmental Origins of Cardiovascular Disease (2022) · cites this paper as [36]
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In the citing paper
“A large study conducted by Yu Y. et al. demonstrated an association between gestational diabetes and an increased rate of early-onset cardiovascular diseases (CVD; ≤40 years old) in offspring.”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [65]
Experimental — accuracy not yet measuredIn the citing paper
“MIA-induced disruption may work in a manner similar in directionality to rare highly penetrant ASD mutations, and may act as ‘priming’27, 28, 29, 30 or fetal programming21, 22 mechanisms that enhance risk of later developing ASD.”
From Maternal immune activation dysregulation of the fetal brain transcriptome and relevance to the pathophysiology of autism spectrum disorder (2018) · cites this paper as [22]
In the citing paper
“Perturbation of gene expression or cell proliferation and differentiation during vulnerable periods by nutritional and other environmental influences can alter the structure and functional capacity of major organ systems for life, a process known as developmental programming.”
From Placental Origins of Chronic Disease (2016) · cites this paper as [215]
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“The end result will be altered development of the fetal organs, as seen in cases of severe maternal undernutrition (215, 374, 565).”
From Placental Origins of Chronic Disease (2016) · cites this paper as [215]
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Cites
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls
The Wellcome Trust Case Control Consortium, Management Committee, Burton, P. R., Clayton, D. G., Cardon, L. R., Craddock, N., Deloukas, P., Duncanson, A., Kwiatkowski, D. P., McCarthy, M. I., et al. (2007) · Nature · doi:10.1038/nature05911 · Cited by 9,442
Epigenetic programming by maternal behavior
Weaver, I. C. G., Cervoni, N., Champagne, F. A., D'Alessio, A. C., Sharma, S., Seckl, J. R., Dymov, S., Szyf, M., & Meaney, M. J. (2004) · Nature Neuroscience · doi:10.1038/nn1276 · Cited by 6,177
Epigenetic differences arise during the lifetime of monozygotic twins
Fraga, M. F., Ballestar, E., Paz, M. F., Ropero, S., Setien, F., Ballestar, M. L., Heine-Suñer, D., Cigudosa, J. C., Urioste, M., Benitez, J., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0500398102 · Cited by 3,602
Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis
Hales, C. N., & Barker, D. J. P. (1992) · Diabetologia · doi:10.1007/bf00400248 · Cited by 3,367
Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"?
Neel, J. V. (1962) · Europe PMC (PubMed Central) · Cited by 3,172
INFANT MORTALITY, CHILDHOOD NUTRITION, AND ISCHAEMIC HEART DISEASE IN ENGLAND AND WALES
BARKER, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)91340-1 · Cited by 2,892
Epigenetics: A landscape takes shape
Goldberg, A. D., Allis, C. D., & Bernstein, E. (2007) · Cell · doi:10.1016/j.cell.2007.02.006 · Cited by 2,466
Boney, C. M., Verma, A., Tucker, R., & Vohr, B. R. (2005) · Pediatrics · doi:10.1542/peds.2004-1808 · Cited by 2,303
Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"?
(1962) · PubMed Central · Cited by 2,182
Nongenomic Transmission Across Generations of Maternal Behavior and Stress Responses in the Rat
Francis, D., Diorio, J., Liu, D., & Meaney, M. J. (1999) · Science · doi:10.1126/science.286.5442.1155 · Cited by 1,965
Research works printed but not linked: 3
- Diamond J, 1991, Nat Hist, 12, 2
- 2003, World Health Organ Tech Rep Ser, 916, 1
- Neel JV, 1962, Am J Hum Genet, 14, 353
Cited by
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Items 401–500 of 1,022
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Inadera, H. (2013) · Environmental Health and Preventive Medicine · doi:10.1007/s12199-013-0328-8 · Cited by 103
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Monteiro, L. J., Norman, J. E., Rice, G. E., & Illanes, S. E. (2015) · Placenta · doi:10.1016/j.placenta.2015.11.015 · Cited by 103
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Hong, Y. H., & Chung, S. (2018) · Annals of Pediatric Endocrinology & Metabolism · doi:10.6065/apem.2018.23.1.4 · Cited by 103
Troesch, B., Biesalski, H. K., Bos, R., Buskens, E., Calder, P. C., Saris, W. H. M., Spieldenner, J., Verkade, H. J., Weber, P., & Eggersdorfer, M. L. (2015) · Nutrients · doi:10.3390/nu7075266 · Cited by 103
Cureton, N., Korotkova, I., Baker, B., Greenwood, S. L., Wareing, M., Kotamraju, V. R., Teesalu, T., Cellesi, F., Tirelli, N., Ruoslahti, E. I., et al. (2017) · Theranostics · doi:10.7150/thno.19678 · Cited by 103
Floris, L., Stahl, B., Berkeveld, M. A., & Teller, I. C. (2019) · Prostaglandins Leukotrienes and Essential Fatty Acids · doi:10.1016/j.plefa.2019.102023 · Cited by 102
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Liu, Y., Hoyo, C., Murphy, S. K., Huang, Z., Overcash, F. M., Thompson, J., Brown, H. L., & Murtha, A. P. (2013) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2013.02.006 · Cited by 101
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der Voort, A. M. M. S., Jaddoe, V. W. V., Raat, H., Moll, H. A., Albert Hofman, D., de Jongste, J. C., & Duijts, L. (2012) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201107-1266oc · Cited by 101
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Isaevska, E., Moccia, C., Asta, F., Cibella, F., Gagliardi, L., Ronfani, L., Rusconi, F., Stazi, M. A., & Richiardi, L. (2020) · Environmental Research · doi:10.1016/j.envres.2020.110504 · Cited by 100
Pennings, J. L. A., Jennen, D. G. J., Nygaard, U. C., Namork, E., Haug, L. S., Loveren, H. V., & Granum, B. B. (2015) · Journal of Immunotoxicology · doi:10.3109/1547691x.2015.1029147 · Cited by 100
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Xia, W., Du, X., Zheng, T., Zhang, B., Li, Y., Bassig, B. A., Zhou, A., Wang, Y., Xiong, C., Li, Z., et al. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1409202 · Cited by 100
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Hsu, C., & Tain, Y. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.745716 · Cited by 99
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Chan, J. C. N., Cho, N. H., Tajima, N., & Shaw, J. E. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.11.012 · Cited by 99
Ferguson‐Smith, A. C., & Patti, M. (2011) · Cell Metabolism · doi:10.1016/j.cmet.2011.01.011 · Cited by 99
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Mu, M., Song, Y., Bai, M.-J., Liu, G., Tong, Y., Wang, S., & Sheng, J. (2014) · Heart Lung and Circulation · doi:10.1016/j.hlc.2013.11.018 · Cited by 98
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Elbau, I., Cruceanu, C., & Binder, E. B. (2019) · Biological Psychiatry · doi:10.1016/j.biopsych.2019.04.025 · Cited by 98
Bocca, B., Ruggieri, F., Pino, A., Rovira, J., Calamandrei, G., Martínez, M. Á., Domingo, J. L., Alimonti, A., & Schuhmacher, M. (2019) · Environmental Research · doi:10.1016/j.envres.2019.108599 · Cited by 98
Daraki, V. N., Georgiou, V., Papavasiliou, S. S., Chalkiadaki, G., Karahaliou, M., Koinaki, S., Sarri, K. O., Vassilaki, M. E., Kogevinas, M., & Chatzi, L. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126327 · Cited by 98
Cleal, J. K., Glazier, J. D., Ntani, G., Crozier, S., Day, P. E., Harvey, N. C., Robinson, S. M., Cooper, C. C., Godfrey, K. M., Hanson, M. A., et al. (2011) · The Journal of Physiology · doi:10.1113/jphysiol.2010.198549 · Cited by 98
Self-citationTzoulaki, I., Sovio, U., Pillas, D., Hartikainen, A., Pouta, A. M., Laitinen, J. H., Tammelin, T., Järvelin, M., & Elliott, P. (2010) · American Journal of Epidemiology · doi:10.1093/aje/kwq027 · Cited by 98
Stefan Thurner, A., Klimek, P., Szell, M., Duftschmid, G., Endel, G., Kautzky‐Willer, A., & Kasper, D. C. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1215626110 · Cited by 97
Razaz, N., Villamor, E., Muraca, G. M., Bonamy, A. E., & Cnattingius, S. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(20)30151-0 · Cited by 97
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Scher, M. S. (2021) · Frontiers in Pediatrics · doi:10.3389/fped.2021.683138 · Cited by 97
Modi, N., Thomas, E. L., Uthaya, S. N., Umranikar, S., Bell, J. D., & Yajnik, C. S. (2009) · Pediatric Research · doi:10.1203/pdr.0b013e31819d98be · Cited by 97
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Kajantie, E., & Hovi, P. (2013) · Seminars in Fetal and Neonatal Medicine · doi:10.1016/j.siny.2013.11.006 · Cited by 97
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Harris, L. K., Crocker, I. P., Baker, P. N., Aplin, J., & Westwood, M. (2010) · Biology of Reproduction · doi:10.1095/biolreprod.110.088195 · Cited by 96
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Claris, O., Beltrand, J., & Lévy‐Marchal, C. (2010) · Seminars in Perinatology · doi:10.1053/j.semperi.2010.02.005 · Cited by 96
Burris, H. H., Braun, J. M., Byun, H., Tarantini, L., Mercado, A., Wright, R. J., Schnaas, L., Baccarelli, A., Wright, R. O., & Téllez‐Rojo, M. M. (2013) · Epigenomics · doi:10.2217/epi.13.24 · Cited by 96
Wirbisky, S. E., Weber, G. J., Sepúlveda, M. S., Lin, T.-L., Jannasch, A. S. H., & Freeman, J. L. (2016) · Scientific Reports · doi:10.1038/srep21337 · Cited by 96
Zohdi, V., Lim, K., Pearson, J. T., & Black, M. J. (2014) · Nutrients · doi:10.3390/nu7010119 · Cited by 95
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Fardous, A. M., & Heydari, A. R. (2023) · Nutrients · doi:10.3390/nu15214699 · Cited by 95
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Bezruchka, S. (2009) · Canadian Medical Association Journal · doi:10.1503/cmaj.090553 · Cited by 95
Rehfeldt, C., Lefaucheur, L., Block, J., Stabenow, B., Pfuhl, R., Otten, W., Metges, C. C., & Kalbe, C. (2011) · European Journal of Nutrition · doi:10.1007/s00394-011-0201-8 · Cited by 95
Selective Serotonin Reuptake Inhibitors Affect Neurobehavioral Development in the Human Fetus
Mulder, E. J. H., Ververs, T. F., de Heus, R., & Visser, G. H. A. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.67 · Cited by 94
Maître, L., Fthenou, E., Athersuch, T. J., Coen, M., Toledano, M. B., Holmes, E. C., Kogevinas, M., Chatzi, L., & Keun, H. C. (2014) · BMC Medicine · doi:10.1186/1741-7015-12-110 · Cited by 94
van Dixhoorn, I. D. E., Reimert, I., Middelkoop, J., Bolhuis, J. E., Wisselink, H. J., Koerkamp, P. W. G. G., Kemp, B., & Stockhofe-Zurwieden, N. (2016) · PLoS ONE · doi:10.1371/journal.pone.0161832 · Cited by 94
Wilde, J., Apouey, B., & Jung, T. (2017) · European Economic Review · doi:10.1016/j.euroecorev.2017.05.003 · Cited by 94
Chen, Y., Ma, G., Hu, Y., Yang, Q., de Avila, J. M., Zhu, M. J., & Du, . (2021) · Sports Medicine · doi:10.1007/s40279-021-01499-6 · Cited by 94
Chen, W., Peng, Y., Ma, X., Kong, S., Tan, S., Wei, Y., Zhao, Y., Zhang, W., Wang, Y., Yan, L., et al. (2020) · EBioMedicine · doi:10.1016/j.ebiom.2020.103076 · Cited by 93
Noble, A. J., Nowak, J. K., Adams, A. T., Uhlig, H. H., & Satsangi, J. J. (2023) · Gastroenterology · doi:10.1053/j.gastro.2023.03.238 · Cited by 93
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Gračner, T., Boone, C. E., & Gertler, P. (2024) · Science · doi:10.1126/science.adn5421 · Cited by 93
Barrezueta, L. B., García-Vicent, C., López, J. A. L., Torró, M. I., & Lurbe, E. (2015) · Journal of Translational Medicine · doi:10.1186/s12967-015-0654-2 · Cited by 93
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Ledo, A., Arduini, A., Asensi, M. A., Sastre, J., Escrig, R., Brugada, M., Aguar, M., Sáenz, P., & Vento, M. (2008) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.26845 · Cited by 93
Hu, J., Xia, W., Pan, X., Zheng, T., Zhang, B., Zhou, A., Buka, S. L., Bassig, B. A., Liu, W., Wu, C., et al. (2017) · The Lancet Planetary Health · doi:10.1016/s2542-5196(17)30094-3 · Cited by 93
Murphy, M. L. M., Slavich, G. M., Rohleder, N., & Miller, G. E. (2013) · Clinical Psychological Science · doi:10.1177/2167702612455743 · Cited by 92
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Hypoxia-derived oxidative stress mediates epigenetic repression of PKCɛ gene in foetal rat hearts
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Radford, E. J. (2018) · Nature Reviews Endocrinology · doi:10.1038/s41574-018-0005-5 · Cited by 91
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Thornburg, K. L. R., Shannon, J., Thuillier, P., & Turker, M. S. (2010) · Advances in genetics · doi:10.1016/b978-0-12-380864-6.00003-1 · Cited by 91
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Harvey, N. C., Sheppard, A. M., Godfrey, K. M., McLean, C., Garratt, E. S., Ntani, G., Davies, L. C., Murray, R. J. S., Inskip, H. M., Gluckman, P. D., et al. (2013) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.2056 · Cited by 91
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Wells, J. C. K. (2014) · Evolution Medicine and Public Health · doi:10.1093/emph/eou019 · Cited by 91
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Morizot, J., & Kazemian, L. (2014) · Springer eBooks · doi:10.1007/978-3-319-08720-7 · Cited by 91
Clarke-Harris, R., Wilkin, T. J., Hosking, J., Pinkney, J. H., Jeffery, A., Metcalf, B. S., Godfrey, K. M., Voss, L. D., Lillycrop, K. A., & Burdge, G. C. (2014) · Diabetes · doi:10.2337/db13-0671 · Cited by 90
Ashley‐Martin, J., Dodds, L. A., Arbuckle, T. E., Ettinger, A. S., Shapiro, G. D., Fisher, M. M., Morisset, A., Taback, S. P., Bouchard, M. F., Monnier, P., et al. (2014) · Environmental Health · doi:10.1186/1476-069x-13-84 · Cited by 90
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Wang, S., Shu, L., Sheng, J., Mu, M., Wang, S., Tao, X.-Y., Xu, S., & Tao, F. (2014) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174414000440 · Cited by 90
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Jacka, F. N., Pasco, J. A., Williams, L. J., Leslie, E. R., Dodd, S., Nicholson, G. C., Kotowicz, M. A., & Berk, M. (2010) · Journal of science and medicine in sport · doi:10.1016/j.jsams.2010.10.458 · Cited by 90
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Quansah, E., Ohene, L. A., Norman, L., Mireku, M. O., & Karikari, T. K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0145401 · Cited by 90
Morris, G., Berk, M., Maes, M. H. J., Carvalho, A. F., & Puri, B. K. (2019) · Molecular Neurobiology · doi:10.1007/s12035-019-1498-1 · Cited by 91
Armstrong, D. A., Lesseur, C., Conradt, E., Lester, B. M., & Marsit, C. J. (2014) · The FASEB Journal · doi:10.1096/fj.13-238402 · Cited by 89
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Barn, P. K., Gombojav, E., Оchir, C., Laagan, B., Beejin, B., Naidan, G., Boldbaatar, B., Galsuren, J., Byambaa, T., Janes, C. R., et al. (2017) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2017.09.291 · Cited by 89
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Mazzuca, M. Q., Wlodek, M. E., Dragomir, N. M., Parkington, H. C., & Tare, M. (2010) · The Journal of Physiology · doi:10.1113/jphysiol.2010.187849 · Cited by 89
Laubenthal, J., Zlobinskaya, O., Poterlowicz, K., Baumgartner, A., Gdula, M. R., Fthenou, E., Keramarou, M., Hepworth, S. J., Kleinjans, J. C. S., van Schooten, F., et al. (2012) · The FASEB Journal · doi:10.1096/fj.11-201194 · Cited by 89
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Sutherland, M. R., Bertagnolli, M., Lukaszewski, M., Huyard, F., Yzydorczyk, C., Luu, T. M., & Nuyt, A. M. (2013) · Hypertension · doi:10.1161/hypertensionaha.113.01276 · Cited by 89
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Orešič, M., Gopalacharyulu, P. V., Mykkänen, J., Lietzén, N., Mäkinen, M., Nygrén, H., Simell, S., Simell, V., Hyöty, H., Veijola, R., et al. (2013) · Diabetes · doi:10.2337/db13-0159 · Cited by 89
Metabolomic profiling in blood from umbilical cords of low birth weight newborns
Ivorra, C., García-Vicent, C., Chaves, F. J., Monleón, D., Morales, J. M., & Lurbe, E. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-142 · Cited by 89
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Luca, A. D., Boisseau, N., Téa, I., Louvet, I., Robins, R. J., Forhan, A., Charles, M.-A. A., & Hankard, R. (2012) · Pediatric Research · doi:10.1038/pr.2012.3 · Cited by 89
Bouwland-Both, M. I., Mil, N. H. G., Tolhoek, C. P., Stolk, L., Eilers, P. H. C., Verbiest, M. M. P. J., Heijmans, B. T., Uitterlinden, A. G., Albert Hofman, D., van IJzendoorn, M. H., et al. (2015) · Clinical Epigenetics · doi:10.1186/s13148-015-0115-z · Cited by 88
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Getz, L., Kirkengen, A. L., & Ulvestad, E. (2011) · Tidsskrift for Den norske legeforening · doi:10.4045/tidsskr.10.0874 · Cited by 88
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Penkler, M., Hanson, M. A., Biesma, R. G., & Müller, R. (2018) · Journal of Developmental Origins of Health and Disease · doi:10.1017/s2040174418000892 · Cited by 88
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Ciaula, A. D., & Portincasa, P. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111244 · Cited by 88
Haematological setpoints are a stable and patient-specific deep phenotype
Foy, B. H., Petherbridge, R., Roth, M., Zhang, C., de Souza, D. C., Mow, C., Patel, H. R., Patel, C. H., Ho, S. N., Lam, E., et al. (2024) · Nature · doi:10.1038/s41586-024-08264-5 · Cited by 88
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Chesi, A., & Grant, S. F. A. (2015) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2015.08.008 · Cited by 88
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Li, Y., Jaddoe, V. W. V., Qi, L., He, Y., Lai, J., Wang, J., Zhang, J., Hu, Y., Ding, E. L., Yang, X., et al. (2011) · Journal of Hypertension · doi:10.1097/hjh.0b013e328345d969 · Cited by 88
Piran, S., Liu, P. X., Morales, A., & Hershberger, R. E. (2012) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2012.05.005 · Cited by 87
Shi, Z., Nicholls, S. J., Taylor, A. W., Magliano, D. J., Appleton, S., & Zimmet, P. (2017) · Journal of Hypertension · doi:10.1097/hjh.0000000000001496 · Cited by 87
Grantz, K. L., Kawakita, T., Lu, Y., Newman, R., Berghella, V., & Caughey, A. B. (2019) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.04.013 · Cited by 87
Adank, M. C., Benschop, L. H., Kors, A. W., Peterbroers, K. R., Gregoor, A. M. S., Mulder, M. T., Schalekamp–Timmermans, S., van Lennep, J. E. R., & Steegers, E. A. P. (2020) · BMC Medicine · doi:10.1186/s12916-020-01730-7 · Cited by 87
Cohort profile: Singapore Preconception Study of Long-Term Maternal and Child Outcomes (S-PRESTO)
the S-PRESTO Study Group, Loo, E. X. L., Soh, S., Loy, S. L., Ng, S., Tint, M. T., Chan, S., Huang, J. Y., Yap, F. K. P., Tan, K. H., et al. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00697-2 · Cited by 87
Self-citationTain, Y., Leu, S., Wu, K. L. H., Lee, W., & Chan, J. Y. H. (2014) · Journal of Pineal Research · doi:10.1111/jpi.12145 · Cited by 87
Gaillard, R., Steegers, E. A. P., de Jongste, J. C., Albert Hofman, D., & Jaddoe, V. W. V. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyu036 · Cited by 87
ISGANAITIS, E. M., Jimenez-Chillaron, J., Woo, M., Chow, A., DeCoste-Lopez, J., Vokes, M. S., Liu, M., Kasif, S., Zavacki, A. M., Leshan, R. L., et al. (2009) · Diabetes · doi:10.2337/db08-1266 · Cited by 87
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Bharadwaj, P., Zivin, J. G., Mullins, J. T., & Neidell, M. (2016) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201603-0451oc · Cited by 87
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Vickers, M. H. (2011) · World Journal of Diabetes · doi:10.4239/wjd.v2.i9.137 · Cited by 86
Metadata
- Authors
- Gluckman, P. D., Hanson, M. A., Cooper, C., & Thornburg, K. L.
- Affiliations
- University of Auckland (NZ)
- University of Southampton (GB)
- Oregon Health & Science University (US)
- Venue
- New England Journal of Medicine
- Publisher
- Massachusetts Medical Society
- Published
- 2008-07-03
- Volume
- 359
- Issue
- 1
- Pages
- 61-73
- ISSN
- 0028-4793 (ISSN-L)
- 1533-4406
- PMC
- PMC3923653
- OpenAlex
- W2114949397
- Cited by
- 3,898
- References
- 106
- Citations by year
- 2026: 157 · 2025: 143 · 2024: 179 · 2023: 231 · 2022: 275 · 2021: 232 · 2020: 239 · 2019: 267 · 2018: 231 · 2017: 206 · 2016: 250 · 2015: 270 · 2014: 250 · 2013: 233 · 2012: 205
- FWCI
- 23.68
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- New England Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Funders
- British Heart Foundation
- Versus Arthritis
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01HD034430, P01-HD-34430)
- Topics
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Health, Environment, Cognitive Aging
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Prenatal Substance Exposure Effects
- Keywords
- early life exposure, developmental origins of health and disease, chronic disease susceptibility, adult health outcomes
- MeSH terms
- Adaptation, Biological, Adult, Birth Weight, Disease, Female, Gene Expression Regulation, Growth, Health, Humans, Infant, Infant, Newborn, Male, Nutritional Physiological Phenomena, Pregnancy, Prenatal Exposure Delayed Effects, Prenatal Nutritional Physiological Phenomena, Epigenesis, Genetic, Fetal Development
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