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Chapter 3 - Timing

Critical DOHaD Windows with Lifelong Effects

from Section II - Exposures Driving Long-Term DOHaD Effects

Published online by Cambridge University Press:  01 December 2022

Lucilla Poston
Affiliation:
King's College London
Keith M. Godfrey
Affiliation:
University of Southampton
Peter D. Gluckman
Affiliation:
University of Auckland
Mark A. Hanson
Affiliation:
University of Southampton
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Summary

This chapter sets out experimental evidence for lasting effects of maternal and paternal exposures during critical windows of development around the time of conception, and points to the increasing evidence supporting adolescence and preconception as critical windows for the health of the next generation. This is set in the context of sections providing overviews of pregnancy and lactation, prematurity and infancy as more established critical windows during which environmental exposures can have lasting consequences for health and the risk of disease. Conceptually, these represent periods when timely interventions are considered to have the greatest potential for enhancing the development of functional capacity, thereby promoting resilience throughout the life-course.

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Publisher: Cambridge University Press
Print publication year: 2022

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References

Reh, RK, Dias, BG, Nelson, CA 3rd, Kaufer, D, Werker, JF, Kolb, B, Levine, JD, Hensch, TK. Critical period regulation across multiple timescales. Proc Natl Acad Sci U S A 2020 Sep 22;117(38):23242–23251.Google Scholar
Godfrey, KM, Inskip, HM, Hanson, MA. The long-term effects of prenatal development on growth and metabolism. Semin Reprod Med 2011;29(3):257–265.Google Scholar
Waddington, CH. Canalization of development and the inheritance of acquired characters. Nature 1942;150(3811):563–565.Google Scholar
Low, FM, Gluckman, PD, Godfrey, KM. Early life development and epigenetic mechanisms: mediators of metabolic programming and obesity risk. In Nutrigenomics and Proteomics in Health and Disease. (ed. Kussmann, M, Stover, P.), Germany: Wiley 2017, 42–63. ISBN: 978-1-1190-9883-6Google Scholar
Godfrey, KM, Costello, PM, Lillycrop, KA. Development, epigenetics and metabolic programming. Nestle Nutr Inst Workshop Ser 2016;85:71–80. doi: 10.1159/000439488. Epub 2016 Apr 18. PMID: 27088334; PMCID: PMC4880042.CrossRefGoogle Scholar
Fleming, TP, Watkins, AJ, Velazquez, MA, Mathers, JC, Prentice, AM, Stephenson, J, Barker, M, Saffery, R, Yajnik, CS, Eckert, JJ, Hanson, MA, Forrester, T, Gluckman, PD, Godfrey, KM. Origins of lifetime health around the time of conception: causes and consequences. Lancet 2018;391(10132):1842–1852.Google Scholar
Velazquez, MA, Fleming, TP, Watkins, AJ. Periconceptional environment and the developmental origins of disease. J Endocrinol 2019;242(1):T33–T49.Google Scholar
Huang, JY, Cai, S, Huang, Z, Tint, MT, Yuan, WL, Aris, IM, Godfrey, KM, Karnani, N, Lee, YS, Chan, JKY, Chong, YS, Eriksson, JG, Chan, SY. Analyses of child cardiometabolic phenotype following assisted reproductive technologies using a pragmatic trial emulation approach. Nat Commun 2021;12(1):5613.Google Scholar
Kleijkers, SHM, Mantikou, E, Slappendel, E, Consten, D, van Echten-Arends, J, Wetzels, AM, van Wely, M, Smits, LJM, van Montfoort, APA, Repping, S, Dumoulin, JC, Mastenbroek, S. Influence of embryo culture medium (G5 and HTF) on pregnancy and perinatal outcome after IVF: a multicenter RCT. Hum Reprod 2016;31(10):2219–2230.Google Scholar
Wu, LL, Russell, DL, Wong, SL, Chen, M, Tsai, TS, St John, JC, Norman, RJ, Febbraio, MA, Carroll, J, Robker, RL. Mitochondrial dysfunction in oocytes of obese mothers: transmission to offspring and reversal by pharmacological endoplasmic reticulum stress inhibitors. Development 2015;142(4):681–691.CrossRefGoogle Scholar
Gould, JM, Smith, PJ, Airey, CJ, Mort, EJ, Airey, LE, Warricker, FDM, Pearson-Farr, JE, Weston, EC, Gould, PJW, Semmence, OG, Restall, KL, Watts, JA, McHugh, PC, Smith, SJ, Dewing, JM, Fleming, TP, Willaime-Morawek, S. Mouse maternal protein restriction during preimplantation alone permanently alters brain neuron proportion and adult short-term memory. Proc Natl Acad Sci U S A 2018;115(31):E7398–E7407.CrossRefGoogle Scholar
Steegers-Theunissen, RP, Twigt, J, Pestinger, V, Sinclair, KD. The periconceptional period, reproduction and long-term health of offspring: the importance of one-carbon metabolism. Hum Reprod Update 2013;19(6):640–655.CrossRefGoogle Scholar
Watkins, AJ, Sinclair, KD. Paternal low protein diet affects adult offspring cardiovascular and metabolic function in mice. Am J Physiol Heart Circ Physiol 2014;306:H1444–1452.Google Scholar
Watkins, AJ, Dias, I, Tsuro, H, Allen, D, Emes, RD, Moreton, J, Wilson, R, Ingram, RJM, Sinclair, KD. Paternal diet programs offspring health through sperm- and seminal plasma-specific pathways in mice. Proc Natl Acad Sci U S A 2018;115(10):10064–10069.Google Scholar
Viner, RM, Ross, D, Hardy, R, et al. Life course epidemiology: recognising the importance of adolescence. J Epidemiol Community Health 2015;69(40):719–720.Google Scholar
Alberga, AS, Sigal, RJ, Goldfield, G, Prud’ homme, D, Kenny, GP. The critical period of adolescence. Pediatric Obesity 2012;7(4):261–273.Google Scholar
Results of the National Diet and Nutrition Survey (NDNS) rolling programme for 2014 to 2015 and 2015 to 2016. www.gov.uk/government/statistics/ndns-results-from-years-7-and-8-combinedGoogle Scholar
Johnson, W, Moore, SE. Adolescent pregnancy, nutrition, and health outcomes in low- and middle-income countries: what we know and what we don’t know. BJOG 2016; 123(10):1589–1592.Google Scholar
Neufeld, LM, Andrade EB, Suleiman AB, Barker M, Beal T, Blum LS, Demmler KM, Dogra S, Hardy-Johnson P, Lahiri A, Larson N. Food choice in transition: adolescent autonomy, agency, and the food environment. The Lancet 2021.Google Scholar
Blakemore, SJ, Mills, KL. Is adolescence a sensitive period for sociocultural processing? Ann Review Psychol 2014; 65:187–207.Google Scholar
Patton, G, Temmerman, M. Evidence and evidence gaps in adolescent health. J Adolesc Health 2016;59(4S):S1–S3. doi:10.1016/j.jadohealth.2016.08.001Google Scholar
Bay, JL, Vickers, MH, Mora, HA, Sloboda, DM, Morton, SM. Adolescents as agents of healthful change through scientific literacy development: a school-university partnership program in New Zealand. Int J STEM Education 2017;4(1):15.Google Scholar
Woods-Townsend, K, Leat, H, Bay, J, Bagust, L, Davey, H, Lovelock, D, Christodoulou, A, Griffiths, J, Grace, M, Godfrey, K, Hanson, M, Inskip, H. LifeLab Southampton: a programme to engage adolescents with DOHaD concepts as a tool for increasing health literacy in teenagers -a pilot cluster-randomized control trial. J Dev Orig Health Dis 2018;9(5):475–480.CrossRefGoogle Scholar
Woods-Townsend, K, Hardy-Johnson, P, Bagust, L, Barker, M, Davey, H, Griffiths, J, et al. A cluster-randomised controlled trial of the LifeLab education intervention to improve health literacy in adolescents. PLoS ONE 2021;16(5):e0250545.Google Scholar
De-Regil, LM, Peña-Rosas, JP, Fernández-Gaxiola, AC, Rayco-Solon, P. Effects and safety of periconceptional oral folate supplementation for preventing birth defects. Cochrane Database Syst Rev 2015 Dec 14;2015(12):CD007950. doi: 10.1002/14651858.CD007950.pub3. PMID: 26662928.Google Scholar
Stephenson, J, Heslehurst, N, Hall, J, Schoenaker, DAJM, Hutchinson, J, Cade, JE, Poston, L, Barrett, G, Crozier, SR, Barker, M, Kumaran, K, Yajnik, CS, Baird, J, Mishra, GD. Before the beginning: nutrition and lifestyle in the preconception period and its importance for future health. Lancet 2018 May 5;391(10132):1830–1841.Google Scholar
Brackenridge, L, Finer, N, Batterham, RL, Pedram, K, Ding, T, Stephenson, J, Barry, J, Hardiman, P. Pre-pregnancy weight loss in women with obesity requesting removal of their intra-uterine contraceptive device in order to conceive: a pilot study of full meal replacement. Clin Obes 2018 Aug;8(4):244–249.CrossRefGoogle Scholar
International Weight Management in Pregnancy (i-WIP) Collaborative Group. Effect of diet and physical activity based interventions in pregnancy on gestational weight gain and pregnancy outcomes: meta-analysis of individual participant data from randomised trials. BMJ 2017 Jul 19;358:j3119.Google Scholar
Ellsworth, L, Harman, E, Padmanabhan, V, Gregg, B. Lactational programming of glucose homeostasis: a window of opportunity. Reproduction 2018;156(2):R23–R42.Google Scholar
Padmanabhan, V, Cardoso, RC, Puttabyatappa, M. Developmental programming, a pathway to disease. Endocrinology 2016;157(4):1328–1340.Google Scholar
Bartol, FF, Wiley, AA, George, AF, Miller, DJ, Bagnell, CA. Postnatal reproductive development and the lactocrine hypothesis. J Anim Sci 2017;95(5):2200–2210.Google Scholar
Vickers, MH, Sloboda, DM. Strategies for reversing the effects of metabolic disorders induced as a consequence of developmental programming. Front Physiol 2012;3:242.Google Scholar
Grattan, DR. Fetal programming from maternal obesity: eating too much for two? Endocrinology 2008;149(11):5345–5347.Google Scholar
Aiken, CE, Ozanne, SE. Transgenerational developmental programming. Hum Reprod Update 2014;20(1):63–75.Google Scholar
Howie, GJ, Sloboda, DM, Vickers, MH. Maternal undernutrition during critical windows of development results in differential and sex-specific effects on postnatal adiposity and related metabolic profiles in adult rat offspring. Br J Nutr 2012;108(2):298–307.Google Scholar
Howie, GJ, Sloboda, DM, Reynolds, CM, Vickers, MH. Timing of maternal exposure to a high fat diet and development of obesity and hyperinsulinemia in male rat offspring: same metabolic phenotype, different developmental pathways? J Nutr Metab 2013;2013:517384.Google Scholar
Crump, C. Preterm birth and mortality in adulthood: a systematic review. J Perinatol 2020;40(6):833–843.Google Scholar
Crump, C. An overview of adult health outcomes after preterm birth. Early Hum Dev 2020;150:105187.Google Scholar
Andraweera, PH, Condon, B, Collett, G, Gentilcore, S, Lassi, ZS. Cardiovascular risk factors in those born preterm – systematic review and meta-analysis. J Dev Orig Health Dis 2021;12(4):539–554.Google Scholar
Crump, C, Sundquist, J, Sundquist, K. Risk of hypertension into adulthood in persons born prematurely: a national cohort study. Eur Heart J 2020;41(16):1542–1550.Google Scholar
Yoshida-Montezuma, Y, Stone, E, Iftikhar, S, De Rubeis, V, Andreacchi, A, Keown-Stoneman, C, et al. Late preterm birth as a risk-factor for cardiometabolic conditions across the life-course: a systematic review and meta-analysis. Paediatr Perinatal Epidemiol 2022;36(2):264–275.Google Scholar
Li, S, Zhang, M, Tian, H, Liu, Z, Yin, X, Xi, B. Preterm birth and risk of type 1 and type 2 diabetes: systematic review and meta-analysis. Obes Rev 2014;15(10):804–811.Google Scholar
Bloomfield, FH. Impact of prematurity for pancreatic islet and beta-cell development. J Endocrinol 2018;238(3):R161R71.Google Scholar
Bukowski, R, Smith, GC, Malone, FD, Ball, RH, Nyberg, DA, Comstock, CH, et al. Fetal growth in early pregnancy and risk of delivering low birth weight infant: prospective cohort study. BMJ 2007;334(7598):836.CrossRefGoogle Scholar
Story, L, Zhang, T, Uus, A, Hutter, J, Egloff, A, Gibbons, D, Ho, A, Al-Adnani, M, Knight, CL, Theodoulou, I, Deprez, M, Seed, PT, Tribe, RM, Shennan, AH, Rutherford, M. Antenatal thymus volumes in fetuses that delivered <32 weeks’ gestation: An MRI pilot study. Acta Obstet Gynecol Scand 2021;100:1040–1050.Google Scholar
Cooke, RW. Conventional birth weight standards obscure fetal growth restriction in preterm infants. Arch Dis Child Fetal Neonatal Ed 2007;92(3):F189–92.Google Scholar
Abitbol, CL, Rodriguez, MM. The long-term renal and cardiovascular consequences of prematurity. Nat Rev Nephrol 2012;8(5):265–274.Google Scholar
Moschino, L, Bonadies, L, Baraldi, E. Lung growth and pulmonary function after prematurity and bronchopulmonary dysplasia. Pediatr Pulmonol 2021; Mar 17;56(11):3499–3508. doi: 10.1002/ppul.25380.Google Scholar
Bensley, JG, Moore, L, De Matteo, R, Harding, R, Black, MJ. Impact of preterm birth on the developing myocardium of the neonate. Pediatr Res 2017;83(4):880–888.Google Scholar
Lin, L, Amissah, E, Gamble, GD, Crowther, CA, Harding, JE. Impact of macronutrient supplements on later growth of children born preterm or small for gestational age: A systematic review and meta-analysis of randomised and quasirandomised controlled trials. PLoS Med 2020;17(5):e1003122.Google Scholar
Lin, L, Amissah, E, Gamble, GD, Crowther, CA, Harding, JE. Impact of macronutrient supplements for children born preterm or small for gestational age on developmental and metabolic outcomes: A systematic review and meta-analysis. PLoS Med 2019;16(10):e1002952.Google Scholar
Woo, JG, et al. Infant growth and long-term cardiometabolic health: a review of recent findings. Curr Nutr Rep 2019;8(1):29–41.CrossRefGoogle Scholar
Andrew, SB, et al. Does the association between early life growth and later obesity differ by race/ethnicity or socioeconomic status? A systematic review. Ann Epidemiol 2017;27(9):583–592.Google Scholar
Azad, MB, et al. Infant feeding and weight gain: separating breast milk from breastfeeding and formula from food. Pediatrics 2018;142(4):e20181092.Google Scholar
Patro-Golab, B, et al. Protein concentration in milk formula, growth, and later risk of obesity: a systematic review. J Nutr 2016;146:551–564.Google Scholar
Totzauer, M, et al. Effect of lower versus higher protein content in infant formula through the first year on body composition from 1 to 6 years: follow-up of a randomized clinical trial. Obesity 2018;26:1203–1212.Google Scholar
Dewey, KG, et al. Breastfeeding and risk of overweight in childhood and beyond: a systematic review with emphasis on sibling-pair and intervention studies. Am J Clin Nutr 2021;114:1774–1790.Google Scholar
Martin, R, et al. Effects of promoting long-term exclusive breastfeeding on adolescent adiposity, blood pressure, and growth trajectories. A secondary analysis of a randomized controlled trial. JAMA Pediatr 2017;171(7):e170698.Google Scholar
Wang, J, et al. Introduction of complementary feeding before 4 months of age increases the risk of childhood overweight or obesity: a meta-analysis of prospective cohort studies. Nutr Res 2016;36:759–70.CrossRefGoogle Scholar
Taylor, RW, et al. Effect of a baby-led approach to complementary feeding on infant growth and overweight; a randomized controlled trial. JAMA Pediatr 2017;171:838–846.Google Scholar
Campoy, C et al. Complementary feeding in developed countries: the 3 Ws (when, what, and why?). Ann Nutr Metab 2018;73:27–36.Google Scholar
Godfrey, KM, Barton, SJ, El-Heis, S, Kenealy, T, Nield, H, Baker, PN, Chong, YS, Cutfield, W, Chan, SY. NiPPeR study group. Myo-Inositol, probiotics, and micronutrient supplementation from preconception for glycemia in pregnancy: NiPPeR International multicenter double-blind randomized controlled trial. Diabetes Care 2021;44:1091–1099.Google Scholar
Patel, N, Godfrey, KM, Pasupathy, D, Levin, J, Flynn, AC, Hayes, L, Briley, AL, Bell, R, Lawlor, DA, Oteng-Ntim, E, Nelson, SM, Robson, SC, Sattar, N, Singh, C, Wardle, J, White, SL, Seed, PT, Poston, L. Infant adiposity following a randomised controlled trial of a behavioural intervention in obese pregnancy. Int J Obes (Lond) 2017;41:1018–1026.Google Scholar
Poston, L, Bell, R, Briley, AL, Godfrey, KM, Nelson, SM, Oteng-Ntim, E, Sandall, J, Sanders, TAB, Sattar, N, Seed, PT, Robson, SC, Trépel, D, Wardle, J. Improving pregnancy outcome in obese women: the UK Pregnancies Better Eating and Activity randomised controlled Trial. Southampton (UK): NIHR Journals Library 2017;5(10):1–444.Google Scholar
Antoun, E, Kitaba, NT, Titcombe, P, Dalrymple, KV, Garratt, ES, Barton, SJ, Murray, R, Seed, PT, Holbrook, JD, Kobor, MS, Lin, DT, MacIsaac, JL, Burdge, GC, White, SL, Poston, L, Godfrey, KM, Lillycrop, KA. UPBEAT Consortium. Maternal dysglycaemia, changes in the infant’s epigenome modified with a diet and physical activity intervention in pregnancy: Secondary analysis of a randomised control trial. PLoS Med 2020;17(11):e1003229.CrossRefGoogle Scholar

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