Is famine exposure during developmental life in rural Bangladesh associated with a metabolic and epigenetic signature in young adulthood? A historical cohort study

BMJ Open

Volumn 6, Issue 11, 2016, Pages

  Finer, S ^a   Iqbal, M S ^b   Lowe, R ^a   Ogunkolade, B W ^a   Pervin, S ^b   Mathews, C ^a   Smart, M ^a   Alam, D S ^b   Hitman, G A ^a  

^a QUEEN MARY UNIVERSITY OF LONDON   (United Kingdom)

^b INTERNATIONAL CENTRE FOR DIARRHOEAL DISEASE RESEARCH   (Bangladesh)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; BANGLADESH; BANGLADESHI; CROSS-SECTIONAL STUDY; DEVELOPMENTAL STAGE; DNA METHYLATION; EPIGENETICS; FEMALE; GENOME-WIDE ASSOCIATION STUDY; GESTATION PERIOD; GLUCOSE TOLERANCE TEST; HUMAN; HUNGER; LIFE CYCLE STAGE; MAJOR CLINICAL STUDY; MALE; MATERNAL NUTRITION; MIDDLE AGED; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; POSTNATAL DEVELOPMENT; PRENATAL EXPOSURE; REVIEW; RURAL AREA; UNDERWEIGHT; YOUNG ADULT; BODY MASS; BODY WEIGHT; GENETICS; LONGITUDINAL STUDY; PREGNANCY; REGRESSION ANALYSIS; RURAL POPULATION; STARVATION;

ADULT; BANGLADESH; BODY MASS INDEX; BODY WEIGHT; CROSS-SECTIONAL STUDIES; DIABETES MELLITUS, TYPE 2; DNA METHYLATION; FEMALE; GENOME-WIDE ASSOCIATION STUDY; GLUCOSE TOLERANCE TEST; HUMANS; LONGITUDINAL STUDIES; MALE; MATERNAL NUTRITIONAL PHYSIOLOGICAL PHENOMENA; MIDDLE AGED; OBESITY; PREGNANCY; PRENATAL EXPOSURE DELAYED EFFECTS; REGRESSION ANALYSIS; RURAL POPULATION; STARVATION;

EID: 84998590107     PISSN: None     EISSN: 20446055     Source Type: Journal    
DOI: 10.1136/bmjopen-2016-011768     Document Type: Review

References (40)

1. Lozano R, Naghavi M, Foreman K, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2013;380:2095-128.
2. Hales CN, Barker DJ, Clark PM, et al. Fetal and infant growth and impaired glucose tolerance at age 64. BMJ 1991;303:1019-22.
3. Manolio TA, Collins FS, Cox NJ, et al. Finding the missing heritability of complex diseases. Nature 2009;461:747-53.
4. Ravelli AC, van der Meulen JH, Michels RP, et al. Glucose tolerance in adults after prenatal exposure to famine. Lancet 1998;351:173-7.
5. Li Y, He Y, Qi L, et al. Exposure to the Chinese famine in early life and the risk of hyperglycemia and type 2 diabetes in adulthood. Diabetes 2010;59:2400-6.
6. Hult M, Tornhammar P, Ueda P, et al. Hypertension, diabetes and overweight: looming legacies of the Biafran famine. PLoS ONE 2010;5:e13582.
7. Thurner S, Klimek P, Szell M, et al. Quantification of excess risk for diabetes for those born in times of hunger, in an entire population of a nation, across a century. Proc Natl Acad Sci USA 2013;110:4703-7.
8. Martin-Gronert MS, Ozanne SE. Mechanisms linking suboptimal early nutrition and increased risk of type 2 diabetes and obesity. J Nutr 2010;140:662-6.
9. Wang N, Wang X, Li Q, et al. The famine exposure in early life and metabolic syndrome in adulthood. Clin Nutr. In press. doi:10.1016/j.clnu.2015.11.010
10. Neel JV. Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"? Am J Hum Genet 1962;14:353-62.
11. Hales CN, Barker DJ. Type 2 (non-insulin-dependent) diabetes mellitus: the thrifty phenotype hypothesis. Diabetologia 1992;35:595-601.
12. Yajnik CS, Fall CHD, Coyaji KJ, et al. Neonatal anthropometry: the thin-fat Indian baby. The Pune Maternal Nutrition Study. Int J Obes Relat Metab Disord 2003;27:173-80.
13. Abu-Bakare A, Taylor R, Gill GV, et al. Tropical or malnutrition-related diabetes: a real syndrome? Lancet 1986;1:1135-8.
14. Doak CM, Adair LS, Bentley M, et al. The dual burden household and the nutrition transition paradox. Int J Obes 2005;29:129-36.
15. Waterland RA, Kellermayer R, Laritsky E, et al. Season of conception in rural Gambia affects DNA methylation at putative human metastable epialleles. PLoS Genet 2010;6:e1001252.
16. Dick KJ, Nelson CP, Tsaprouni L, et al. DNA methylation and body-mass index: a genome-wide analysis. Lancet 2014;383:1990-8.
17. Heijmans BT, Tobi EW, Stein AD, et al. Persistent epigenetic differences associated with prenatal exposure to famine in humans. Proc Natl Acad Sci USA 2008;105:17046-9.
18. Tobi EW, Lumey LH, Talens RP, et al. DNA methylation differences after exposure to prenatal famine are common and timing- and sex-specific. Hum Mol Genet 2009;18:4046-53.
19. Dominguez-Salas P, Moore SE, Baker MS, et al. Maternal nutrition at conception modulates DNA methylation of human metastable epialleles. Nat Commun 2014;5:3746.
20. Silver MJ, Kessler NJ, Hennig BJ, et al. Independent genomewide screens identify the tumor suppressor VTRNA2-1 as a human epiallele responsive to periconceptional environment. Genome Biol 2015;16:118.
21. Tobi EW, Goeman JJ, Monajemi R, et al. DNA methylation signatures link prenatal famine exposure to growth and metabolism. Nat Commun 2014;5:5592.
22. Tobi EW, Slieker RC, Stein AD, et al. Early gestation as the critical time-window for changes in the prenatal environment to affect the adult human blood methylome. Int J Epidemiol 2015;44:1211-23.
23. Peter CJ, Fischer LK, Kundakovic M, et al. DNA methylation signatures of early childhood malnutrition associated with impairments in attention and cognition. Biol Psychiatry 2016;80:765-774.
24. Yajnik CS, Deshpande SS, Jackson AA, et al. Vitamin B12 and folate concentrations during pregnancy and insulin resistance in the offspring: the Pune Maternal Nutrition Study. Diabetologia 2008;51:29-38.
25. Finer S, Holland ML, Nanty L, et al. The hunt for the epiallele. Environ Mol Mutagen 2011;52:1-11.
26. Razzaque A, Alam N, Wai L, et al. Sustained effects of the 1974-5 famine on infant and child mortality in a rural area of Bangladesh. Popul. Stud. 1990;44:145-54.
27. Alamgir M. Famine in South Asia: political economy of mass starvation. Cambridge MA, USA: Oelgeschlager, Gunn & Hain, 1980.
28. Razzaque A, Nahar L, Abu Haider Mohammad Golam Mustafa, et al. Sociodemographic differentials of selected noncommunicable diseases risk factors among adults in Matlab, Bangladesh: findings from a WHO STEPS survey. Asia Pac J Public Health 2011;23:183-91.
29. Alberti KGMM, Eckel RH, Grundy SM, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009;120:1640-5.
30. The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus∗. Follow-up Report on the Diagnosis of Diabetes Mellitus. Diabetes Care 2003;26:3160-7.
31. WHO Expert Consultation. Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. Lancet 2004;363:157-63.
32. Finer S, Mathews C, Lowe R, et al. Maternal gestational diabetes is associated with genome-wide DNA methylation variation in placenta and cord blood of exposed offspring. Hum Mol Genet 2015;24:3021-9.
33. Bibikova M, Barnes B, Tsan C, et al. High density DNA methylation array with single CpG site resolution. Genomics 2011;98:288-95.
34. Smyth G. Limma: linear models for microarray data. In Bioinformatics and computational biology solutions using R and bioconductor. New York: Springer, 2005:397-420.
35. Benjamini Y, Drai D, Elmer G, et al. Controlling the false discovery rate in behavior genetics research. Behav Brain Res 2001;125:279-84.
36. Houseman EA, Accomando WP, Koestler DC, et al. DNA methylation arrays as surrogate measures of cell mixture distribution. BMC Bioinformatics 2012;13:86.
37. Rao RH. Is tropical pancreatic diabetes malnutrition related? Diabetes Care 1993;16:941-5.
38. Bouret S, Levin BE, Ozanne SE. Gene-environment interactions controlling energy and glucose homeostasis and the developmental origins of obesity. Physiol Rev 2015;95:47-82.
39. Ong KK, Ahmed ML, Emmett PM, et al. Association between postnatal catch-up growth and obesity in childhood: prospective cohort study. BMJ 2000;320:967-71.
40. Ruiz-Llorente S, Carrillo Santa de Pau E, Sastre-Perona A, et al. Genome-wide analysis of Pax8 binding provides new insights into thyroid functions. BMC Genomics 2012;13:147.