Perinatal famine is associated with excess risk of proliferative retinopathy in patients with type 2 diabetes

Olena Fedotkina, Andrea Luk, Ruchi Jain, Rashmi B Prasad, Dmitry Shungin, Olga Simó-Servat, Türküler Özgümüs, Liubov Cherviakova, Nadiya Khalimon, Tetiana Svietleisha, Tetiana Buldenko, Victor Kravchenko, Cristina Hernández, Deepak Jain, Rafael Simo, Isabella Artner, Peter M Nilsson, Mykola D Khalangot, Alexander M Vaiserman, Juliana Chan, Allan Vaag, Valeriya Lyssenko, Olena Fedotkina, Andrea Luk, Ruchi Jain, Rashmi B Prasad, Dmitry Shungin, Olga Simó-Servat, Türküler Özgümüs, Liubov Cherviakova, Nadiya Khalimon, Tetiana Svietleisha, Tetiana Buldenko, Victor Kravchenko, Cristina Hernández, Deepak Jain, Rafael Simo, Isabella Artner, Peter M Nilsson, Mykola D Khalangot, Alexander M Vaiserman, Juliana Chan, Allan Vaag, Valeriya Lyssenko

Abstract

Purpose: Intrauterine undernutrition is associated with increased risk of type 2 diabetes. Children born premature or small for gestational age were reported to have abnormal retinal vascularization. However, whether intrauterine famine act as a trigger for diabetes complications, including retinopathy, is unknown. The aim of the current study was to evaluate long-term effects of perinatal famine on the risk of proliferative diabetic retinopathy (PDR).

Methods: We studied the risk for PDR among type 2 diabetes patients exposed to perinatal famine in two independent cohorts: the Ukrainian National Diabetes Registry (UNDR) and the Hong Kong Diabetes Registry (HKDR). We analysed individuals born during the Great Famine (the Holodomor, 1932-1933) and the WWII (1941-1945) famine in 101 095 (3601 had PDR) UNDR participants. Among 3021 (251 had PDR) HKDR participants, we studied type 2 diabetes patients exposed to perinatal famine during the WWII Japanese invasion in 1942-1945.

Results: During the Holodomor and WWII, perinatal famine was associated with a 1.76-fold (p = 0.019) and 3.02-fold (p = 0.001) increased risk of severe PDR in the UNDR. The risk for PDR was 1.66-fold elevated among individuals born in 1942 in the HKDR (p < 0.05). The associations between perinatal famine and PDR remained statistically significant after corrections for HbA1c in available 18 507 UNDR (padditive interaction < 0.001) and in 3021 HKDR type 2 diabetes patients (p < 0.05).

Conclusion: In conclusion, type 2 diabetes patients, exposed to perinatal famine, have increased risk of PDR compared to those without perinatal famine exposure. Further studies are needed to understand the underlying mechanisms and to extend this finding to other diabetes complications.

Keywords: diabetic retinopathy; famine; intrauterine exposure; microvasculature; type 2 diabetes; undernutrition.

© 2021 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

References

    1. Ahlqvist E, Storm P, Käräjämäki A et al. (2018): Novel subgroups of adult-onset diabetes and their association with outcomes: a data-driven cluster analysis of six variables. Lancet Diabetes Endocrinol 6: 361-369.
    1. Barker DJ, Winter PD, Osmond C, Margetts B & Simmonds SJ (1989): Weight in infancy and death from ischaemic heart disease. Lancet 2: 577-580.
    1. Bonamy AK, Bendito A, Martin H, Andolf E, Sedin G & Norman M (2005): Preterm birth contributes to increased vascular resistance and higher blood pressure in adolescent girls. Pediatr Res 58: 845-849.
    1. Bonamy AK, Martin H, Jorneskog G & Norman M (2007): Lower skin capillary density, normal endothelial function and higher blood pressure in children born preterm. J Intern Med 262: 635-642.
    1. Carey VJ & Ripley B. (2019). Generalized estimation equation solver (Version 4.13-20) [R-package]. Available at:
    1. Carroll JM (2007): A concise history of Hong Kong. Lanham: Rowman & Littlefield.
    1. Clough GF & Norman M (2011): The microcirculation: a target for developmental priming. Microcirculation 18: 286-297.
    1. Dragulescu AA & Arendt C (2018): Read, write, format Excel 2007 and Excel 97/2000/XP/2003 Files (Version 0.6.1). Available at:
    1. Flaxman SR, Bourne RRA, Resnikoff S et al. (2017): Global causes of blindness and distance vision impairment 1990-2020: a systematic review and meta-analysis. Lancet Glob Health 5: e1221-e1234.
    1. Gennser G, Rymark P & Isberg PE (1988): Low birth weight and risk of high blood pressure in adulthood. Br Med J (Clin Res Ed) 296: 1498-1500.
    1. Gopinath B, Baur LA, Wang JJ, Teber E, Liew G, Cheung N, Wong TY & Mitchell P (2010): Smaller birth size is associated with narrower retinal arterioles in early adolescence. Microcirculation 17: 660-668.
    1. GraphPadPrism (2019). Comprehensive analysis and powerful statistics, simplified (Prism 8.0.2). San Diego, California, USA. Available at: .
    1. Hadley Wickham WC, Henry L, Pedersen TL, Takahashi K, Wilke C, Woo K & Yutani H; RStudio (2019): ggplot2: Create Elegant Data Visualisations Using the Grammar of Graphics (Version 3.2.1). Available at:
    1. Hales CN, Barker DJ, Clark PM, Cox LJ, Fall C, Osmond C & Winter PD (1991): Fetal and infant growth and impaired glucose tolerance at age 64. BMJ 303: 1019-1022.
    1. Hellstrom A, Hard AL, Niklasson A, Svensson E & Jacobsson B (1998): Abnormal retinal vascularisation in preterm children as a general vascular phenomenon. Lancet 352: 1827.
    1. Jaquet D, Gaboriau A, Czernichow P & Levy-Marchal C (2000): Insulin resistance early in adulthood in subjects born with intrauterine growth retardation. J Clin Endocrinol Metab 85: 1401-1406.
    1. Johnston RH (1986): The Harvest of Sorrow (Book). Library J 111: 145.
    1. Kistner A, Jacobson L, Jacobson SH, Svensson E & Hellstrom A (2002): Low gestational age associated with abnormal retinal vascularization and increased blood pressure in adult women. Pediatr Res 51: 675-680.
    1. Kuzawa CW (1998): Adipose tissue in human infancy and childhood: an evolutionary perspective. Am J Phys Anthropol Suppl 27: 177-209.
    1. Lawlor DA, Ronalds G, Clark H, Smith GD & Leon DA (2005): Birth weight is inversely associated with incident coronary heart disease and stroke among individuals born in the 1950s: findings from the Aberdeen Children of the 1950s prospective cohort study. Circulation 112: 1414-1418.
    1. Leibson CL, Burke JP, Ransom JE, Forsgren J, Melton J 3rd, Bailey KR & Palumbo PJ (2005): Relative risk of mortality associated with diabetes as a function of birth weight. Diabetes Care 28: 2839-2843.
    1. Luk AOY, Lau ESH, Cheung KKT et al. (2017): Glycaemia control and the risk of hospitalisation for infection in patients with type 2 diabetes: Hong Kong Diabetes Registry. Diabetes Metab Res Rev 33: e2923.
    1. Lumey LH, Khalangot MD & Vaiserman AM (2015): Association between type 2 diabetes and prenatal exposure to the Ukraine famine of 1932-33: a retrospective cohort study. Lancet Diabetes Endocrinol 3: 787-794.
    1. Mitchell P, Liew G, Rochtchina E, Wang JJ, Robaei D, Cheung N & Wong TY (2008): Evidence of arteriolar narrowing in low-birth-weight children. Circulation 118: 518-524.
    1. Robinson S, Walton RJ, Clark PM, Barker DJ, Hales CN & Osmond C (1992): The relation of fetal growth to plasma glucose in young men. Diabetologia 35: 444-446.
    1. Roseboom TJ, van der Meulen JH, Ravelli AC, Osmond C, Barker DJ & Bleker OP (2001): Effects of prenatal exposure to the Dutch famine on adult disease in later life: an overview. Mol Cell Endocrinol 185: 93-98.
    1. Stein AD, Ravelli AC & Lumey LH (1995): Famine, third-trimester pregnancy weight gain, and intrauterine growth: the Dutch Famine Birth Cohort Study. Hum Biol 67: 135-150.
    1. Stein AD, Zybert PA, van der Pal-de BK & Lumey LH (2006): Exposure to famine during gestation, size at birth, and blood pressure at age 59 y: evidence from the Dutch Famine. Eur J Epidemiol 21: 759-765.
    1. Team RC (2020): R: A language and environment for statistical computing. Vienna, Austria. Available at: .
    1. Vaag A, Brøns C, Gillberg L et al. (2014): Genetic, nongenetic and epigenetic risk determinants in developmental programming of type 2 diabetes. Acta Obstet Gynecol Scand 93: 1099-1108.
    1. Vaag AA, Grunnet LG, Arora GP & Brons C (2012): The thrifty phenotype hypothesis revisited. Diabetologia 55: 2085-2088.
    1. Vaiserman AM (2017): Early-life nutritional programming of type 2 diabetes: experimental and quasi-experimental evidence. Nutrients 9: 236.
    1. VanderWeele TJ, Knol MJ (2014): A tutorial on interaction. Epidemiologic Methods 3 (1).
    1. Wickham H. (2018). Flexibly reshape data (Version 0.8.8) [R-package]. Available at:
    1. Zimmet PZ, El-Osta A & Shi Z (2017): The diabetes epidemic in China is a public health emergency: the potential role of prenatal exposure. J Public Health Emerg 1: 80.

Source: PubMed

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