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Chapter 2 - The Evolutionary Basis of DOHaD

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

Two of the pathways by which evolutionary processes can influence disease risk are evolutionary mismatch, where the individual’s evolved coping mechanisms are overwhelmed by a novel or severe cue, and developmental mismatch, where the individual is exposed to an environment that is not matched to its adaptively developed phenotype. Both pathways draw on the evolutionary principle that selection operates to sustain and promote Darwinian fitness, irrespective of the impact on health during the post-reproductive age. In this chapter we will frame DOHaD phenomena within an evolutionary context, showing that human health and disease risk are dependent on our both evolutionary and developmental histories. We also discuss the contributory role of a unique human activity to not only construct a niche but also continually modify it. Using nutrition as the exemplar, we demonstrate how the DOHaD phenomenon is underpinned by both evolutionary and developmental mismatches, and discuss the evidence for how developmental anticipatory responses may confer adaptive advantage in humans.

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Publisher: Cambridge University Press
Print publication year: 2022

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References

Stearns, SC. Evolutionary medicine: its scope, interest and potential. Proceedings of the Royal Society B: Biological Sciences. 2012;279(1746), 4305–4321.Google Scholar
Gluckman, P, , Low F. Evolutionary medicine. In Oxford Bibliographies. (ed. Futuyma, DJ), 2019. Oxford University Press: Oxford.Google Scholar
Low, FM, Gluckman, PD, Hanson, MA. Niche modification, human cultural evolution and the Anthropocene. Trends in Ecology and Evolution. 2019;34(10) 883–885.CrossRefGoogle Scholar
Gluckman, PD, Low, FM, Hanson, MA. Anthropocene-related disease: the inevitable outcome of progressive niche modification? Evolution, Medicine, and Public Health. 2020;2020(1), 304–310.Google Scholar
Lucock, MD, Martin, CE, Yates, ZR, Veysey, M. Diet and our genetic legacy in the recent Anthropocene: a Darwinian perspective to nutritional health. Journal of Evidence-Based Complementary & Alternative Medicine. 2014;19(1), 68–83.Google Scholar
Gluckman, P, Beedle, A, Buklijas, T, Low, F, Hanson, M. Nutritional and metabolic adaptation. In Principles of Evolutionary Medicine. 2016; pp. 205–236. Oxford University Press: Oxford.Google Scholar
Ma, RCW, Chan, JCN, Tam, WH, Hanson, MA, Gluckman, PD. Gestational diabetes, maternal obesity and the NCD burden. Clinical Obstetrics and Gynecology. 2013;56(3), 633–641.Google Scholar
Nijs, H, Benhalima, K. Gestational diabetes mellitus and the long-term risk for glucose intolerance and overweight in the offspring: a narrative review. Journal of Clinical Medicine. 2020;9(2), 599.Google Scholar
Czosnykowska-Łukacka, M, Królak-Olejnik, B, Orczyk-Pawiłowicz, M. Breast milk macronutrient components in prolonged lactation. Nutrients. 2018;10(12), 1893.Google Scholar
Monasta, L, Batty, GD, Cattaneo, A, et al. Early-life determinants of overweight and obesity: a review of systematic reviews. Obesity Reviews. 2010;11(10), 695–708.Google Scholar
Belfort, MB, Anderson, PJ, Nowak, VA, et al. Breast milk feeding, brain development, and neurocognitive outcomes: a 7-year longitudinal study in infants born at less than 30 weeks’ gestation. The Journal of Pediatrics. 2016;177, 133–139.e131.Google Scholar
Gluckman, PD, Buklijas, T, Hanson, MA. Chapter 1 – The Developmental Origins of Health and Disease (DOHaD) concept: past, present, and future. In The Epigenome and Developmental Origins of Health and Disease. (ed. Rosenfeld, CS), 2016; pp. 1–15. Academic Press: Boston.Google Scholar
Gluckman, PD, Hanson, MA, Low, FM. Evolutionary and developmental mismatches are consequences of adaptive developmental plasticity in humans and have implications for later disease risk. Philosophical Transactions of the Royal Society B: Biological Sciences. 2019;374(1770), 20180109.Google Scholar
Sultan, SE. Developmental plasticity: re-conceiving the genotype. Interface Focus. 2017;7(5),20170009.Google Scholar
Karakochuk, CD, Whitfield, KC, Green, TJ, Kraemer, K. The Biology of the First 1,000 Days. 2018; p. 494. CRC Press: Boca Raton.Google Scholar
Hochberg, Z, Feil, R, Constancia, M, et al. Child health, developmental plasticity, and epigenetic programming. Endocrine Society. 2011;32(2), 159–224.Google Scholar
Pararas, MV, Skevaki, CL, Kafetzis, DA. Preterm birth due to maternal infection: causative pathogens and modes of prevention. European Journal of Clinical Microbiology & Infectious Diseases: Official Publication of the European Society of Clinical Microbiology. 2006;25(9), 562–569.Google Scholar
Bazaes, RA, Salazar, TE, Pittaluga, E, et al. Glucose and lipid metabolism in small for gestational infants at 48 hours of age. Pediatrics. 2003;111 (4), 804–809.Google Scholar
Kuzawa, CW. Beyond feast–famine: Brain evolution, human life history, and the metabolic syndrome. In Human Evolutionary Biology. (ed. Muehlenbein, MP), 2010; pp. 518–527. Cambridge University Press: Cambridge.Google Scholar
Gluckman, PD, Hanson, MA, Spencer, HG. Predictive adaptive responses and human evolution. Trends in Ecology & Evolution. 2005;20(10), 527–533.Google Scholar
Burgess, SC, Marshall, DJ. Adaptive parental effects: the importance of estimating environmental predictability and offspring fitness appropriately. Oikos. 2014;123(7), 769–776.Google Scholar
Pener, MP, Simpson, SJ. Locust phase polyphenism: an update. In Advances in Insect Physiology. (eds. Simpson, SJ, Pener, MP), 2009; pp. 1–272. Academic Press.Google Scholar
Sheriff, MJ, Krebs, CJ, Boonstra, R. The ghosts of predators past: population cycles and the role of maternal programming under fluctuating predation risk. Ecology. 2010;91(10), 2983–2994.Google Scholar
Bateson, P, Gluckman, P, Hanson, M. The biology of developmental plasticity and the Predictive Adaptive Response hypothesis. The Journal of Physiology. 2014;592(11), 2357–2368.Google Scholar
Kuzawa, CW. Fetal origins of developmental plasticity: are fetal cues reliable predictors of future nutritional environments? Am J Human Biol. 2005;17(1), 5–21.Google Scholar
Mericq, V, Martinez-Aguayo, A, Uauy, R, Iñiguez, G, Van der Steen, M, Hokken-Koelega, A. Long-term metabolic risk among children born premature or small for gestational age. Nature Reviews Endocrinology. 2017;13(1), 50–62.Google Scholar
Godfrey, KM, Sheppard, A, Gluckman, PD, et al. Epigenetic gene promoter methylation at birth is associated with child’s later adiposity. Diabetes. 2011;60(5)1528–1534.Google Scholar
Popkin, BM, Adair, LS, Ng, SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutrition Reviews. 2012;70(1), 3–21.Google Scholar
Robinson, N, McKay, JA, Pearce, MS, et al. The biological and social determinants of childhood obesity: comparison of 2 cohorts 50 years apart. The Journal of Pediatrics. 2021;228, 138–146.e135.Google Scholar
Jablonka, E, Oborny, B, Molnar, I, Kisdi, E, Hofbauer, J, Czaran, T. The adaptive advantage of phenotypic memory in changing environments. Philosophical Transactions of the Royal Society of London – Series B: Biological Sciences. 1995;350(1332), 133–141.Google Scholar
Gluckman, PD, Hanson, MA. Maternal constraint of fetal growth and its consequences. Seminars in Fetal & Neonatal Medicine. 2004;9(5), 419–425.Google Scholar
Vasak, B, Koenen, SV, Koster, MPH, et al. Human fetal growth is constrained below optimal for perinatal survival. Ultrasound in Obstetrics & Gynecology. 2015;45(2)162–167.Google Scholar
Lee, TM, Zucker, I. Vole infant development is influenced perinatally by maternal photoperiodic history. American Journal of Physiology. 1988;255, (5Pt2) R831–R838.Google Scholar
Bauerfeind, SS, Perlick, JEC, Fischer, K. Disentangling environmental effects on adult life span in a butterfly across the metamorphic boundary. Experimental Gerontology. 2009;44(12), 805–811.Google Scholar
Saastamoinen, M, van der Sterren, D, Vastenhout, N, Zwaan, BJ, Brakefield, PM. Predictive adaptive responses: condition-dependent impact of adult nutrition and flight in the tropical butterfly Bicyclus anynana. The American Naturalist. 2010;176(6), 686–698.Google Scholar
Sato, A, Sokabe, T, Kashio, M, Yasukochi, Y, Tominaga, M, Shiomi, K. Embryonic thermosensitive TRPA1 determines transgenerational diapause phenotype of the silkworm, Bombyx mori. PNAS. 2014;111(13), E1249–E1255.Google Scholar
Mitchell, A, Romano, GH, Groisman, B, et al. Adaptive prediction of environmental changes by microorganisms. Nature. 2009;460(7252), 220–224.Google Scholar
Petrusek, A, Tollrian, R, Schwenk, K, Haas, A, Laforsch, C. A ‘crown of thorns’ is an inducible defense that protects Daphnia against an ancient predator. Proceedings of the National Academy of Sciences of the United States of America. 2009;106(7), 2248–2252.Google Scholar
Pham, T-P-T, Alou, MT, Golden, M, Million, M, Raoult, D. Difference between kwashiorkor and marasmus: comparative meta-analysis of pathogenic characteristics and implications for treatment. Microbial Pathogenesis. 2020;150, 104702.Google Scholar
Jahoor, F, Badaloo, A, Reid, M, Forrester, T. Unique metabolic characteristics of the major syndromes of severe childhood malnutrition. In The Tropical Metabolism Research Unit, The University of the West Indies, Jamaica 1956–2006: The House that John Built. (eds. Forrester, T, Picou, D, Walker, S), 2006; pp. 23–60. Ian Randle Publishers: Kingston.Google Scholar
Kumar, D, Rao, S, Singh, T. Clinico-biochemical profile of sick children with severe acute malnutrition. Journal of Family Medicine and Primary Care. 2020;9(5) 2269–2272.Google Scholar
Forrester, TE, Badaloo, AV, Boyne, MS, et al. Prenatal factors contribute to emergence of kwashiorkor or marasmus in response to severe undernutrition: evidence for the predictive adaptation model. PLoS One. 2012;7(4), e35907.Google Scholar
Francis-Emmanuel, PM, Thompson, DS, Barnett, AT, et al. Glucose metabolism in adult survivors of severe acute malnutrition. The Journal of Clinical Endocrinology & Metabolism. 2014;99(6), 2233–2240.Google Scholar
Schulze, KV, Swaminathan, S, Howell, S, et al. Edematous severe acute malnutrition is characterized by hypomethylation of DNA. Nature Communications. 2019;10(1), 5791.Google Scholar
Sheppard, A, Ngo, S, Li, X, et al. Molecular evidence for differential long-term outcomes of early life severe acute malnutrition. EBioMedicine. 2017;18, 274–280.Google Scholar
Boyne, MS, Francis-Emmanuel, P, Tennant, IA, Thompson, DS, Forrester, TE. Cardiometabolic risk in marasmus and kwashiorkor survivors. In Handbook of Famine, Starvation, and Nutrient Deprivation: From Biology to Policy. (eds. Preedy, V, Patel, VB), 2019; pp. 1–23. Springer International Publishing: Cham.Google Scholar
Engelgau, MM, Rosenthal, JP, Newsome, BJ, Price, L, Belis, D, Mensah, GA. Noncommunicable diseases in low- and middle-income countries: a strategic approach to develop a global implementation research workforce. Global Heart. 2018;13(2), 131–137.Google Scholar
Low, FM, Gluckman, PD, Hanson, MA. Maternal and child health: is making ‘healthy choices’ an oxymoron? Global Health Promotion. 2020; doi: 10.1177/1757975920967351, 1757975920967351.Google Scholar
Richardson, SS, Daniels, CR, Gillman, MW, et al. Don’t blame the mothers. Nature. 2014;512(7513), 131–132.Google Scholar
Low, FM, Gluckman, PD. Evolutionary medicine: mismatch. In The Encyclopedia of Evolutionary Biology. (ed. Kliman, RM), 2016. Academic Press: Oxford.Google Scholar

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