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The effects of prenatal oxidative stress levels on infant adiposity development during the first year of life

Published online by Cambridge University Press:  10 January 2014

S. L. Loy ,
K. N. S. Sirajudeen  and
J. M. Hamid Jan
S. L. Loy
Affiliation:
Nutrition Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
K. N. S. Sirajudeen
Affiliation:
Department of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
J. M. Hamid Jan*
Affiliation:
Nutrition Programme, School of Health Sciences, Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia
*
*Address for correspondence: J. M. Hamid Jan, Nutrition Programme, School of Health Sciences, Universiti Sains Malaysia, 16150 Kubang Kerian, Kelantan, Malaysia. (Email: hamidjan@kb.usm.my)
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Abstract

Although numerous studies have been conducted to examine the causal factors of childhood obesity, the implications of intrauterine oxidative stress on early postnatal adiposity development remain to be elucidated. The Universiti Sains Malaysia Birth Cohort Study aimed to investigate the effects of prenatal oxidative stress levels on the development of infant adiposity during the first year of life. This study was conducted on the healthy pregnant women aged 19–40 years, from April 2010 to December 2012 in Kelantan, Malaysia. Maternal blood samples were drawn in the second trimester to analyse for oxidative stress markers. Infant anthropometric measurements were taken at birth, 2, 6 and 12 months of age. A total of 153 pregnant women and full-term infants were included in the analysis. Statistical test was conducted by using multiple linear regression. Through the infant first year of life, as maternal DNA damage level in the second trimester increased, infant weights at birth (β=−0.122, P<0.001), 2 months (β=−0.120, P=0013), 6 months (β=−0.209, P=0.003) and 12 months of age (β=−0.241, P=0.006) decreased after adjusting for confounders. Similar results were noted when infant body mass index-for-age Z-scores and triceps skinfold-for-age Z-scores were used as the adiposity indicators. In conclusion, the present study shows a consistent inverse association between maternal DNA damage and infant adiposity during the first year of life. These infants with reduced growth and adiposity in early postnatal life may have a high tendency to experience catch-up growth during childhood, which could be strongly associated with later obesity.

Keywords

body compositionchild growthnewbornobesitypregnancy
Type
Original Article
Information
Journal of Developmental Origins of Health and Disease , Volume 5 , Issue 2 , April 2014 , pp. 142 - 151
Copyright
© Cambridge University Press and the International Society for Developmental Origins of Health and Disease 2014 

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References

1. Barker, DJ. The developmental origins of chronic adult disease. Acta Paediatr Suppl. 2004; 93, 26–33.Google Scholar
2. Cottrell, EC, Ozanne, SE. Early life programming of obesity and metabolic disease. Physiol Behav. 2008; 94, 17–28.Google Scholar
3. Langley-Evans, SC. Developmental programming of health and disease. Proc Nutr Soc. 2006; 65, 97–105.CrossRefGoogle ScholarPubMed
4. Ravelli, AC, van Der Meulen, JH, Osmond, C, Barker, DJ, Bleker, OP. Obesity at the age of 50 y in men and women exposed to famine prenatally. Am J Clin Nutr. 1999; 70, 811–816.Google Scholar
5. Luo, ZC, Fraser, WD, Julien, P, et al. Tracing the origins of “fetal origins” of adult diseases: programming by oxidative stress? Med Hypotheses. 2006; 66, 38–44.CrossRefGoogle ScholarPubMed
6. Gitto, E, D’Angelo, G, Cusumano, E, Reiter, RJ. Oxidative stress of newborn, complementary pediatrics. In InTech (ed. Özdemir Ö), 2012; Retrieved April 3, 2013 from http://www.intechopen.com/books/complementary-pediatrics/oxidative-stress-of-newborn Google Scholar
7. Negi, R, Pande, D, Kumar, A, et al. In-vivo oxidative DNA damage, protein oxidation and lipid peroxidation as a biomarker of oxidative stress in preterm low birth weight infants. J Med Sci. 2011; 11, 77–83.Google Scholar
8. Kim, YJ, Hong, YC, Lee, KH, et al. Oxidative stress in pregnant women and birth weight reduction. Reprod Toxicol. 2005; 19, 487–492.CrossRefGoogle ScholarPubMed
9. Potdar, N, Singh, R, Mistry, V, et al. First-trimester increase in oxidative stress and risk of small-for-gestational-age fetus. BJOG. 2009; 116, 637–642.CrossRefGoogle ScholarPubMed
10. Min, J, Park, B, Kim, YJ, et al. Effect of oxidative stress on birth sizes: consideration of window from mid pregnancy to delivery. Placenta. 2009; 30, 418–423.Google Scholar
11. Saker, M, Soulimane Mokhtari, N, Merzouk, SA, et al. Oxidant and antioxidant status in mothers and their newborns according to birthweight. Eur J Obstet Gynecol Reprod Biol. 2008; 141, 95–99.Google Scholar
12. Jain, SK, Wise, R, Yanamandra, K, Dhanireddy, R, Bocchini, JA Jr. The effect of maternal and cord-blood vitamin C, vitamin E and lipid peroxide levels on newborn birth weight. Mol Cell Biochem. 2008; 309, 217–221.Google Scholar
13. Osorio, JC, Cruz, E, Milanés, M, et al. Influence of maternal redox status on birth weight. Reprod Toxicol. 2011; 31, 35–40.Google Scholar
14. Chiavaroli, V, Giannini, C, D’Adamo, E, et al. Insulin resistance and oxidative stress in children born small and large for gestational age. Pediatrics. 2009; 124, 695–702.Google Scholar
15. Soper, DS. A-priori sample size calculator for multiple regression (Online Software), 2013. Retrieved March 25, 2013 from http://www.danielsoper.com/statcalc Google Scholar
16. Cohen, J, Cohen, P, West, SG, Aiken, LS. Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. 3rd edn, 2003. Lawrence Earlbaum Associates: New Jersey.Google Scholar
17. Benzie, IF, Strain, JJ. The ferric reducing ability of plasma (FRAP) as a measure of “antioxidant power”: the FRAP assay. Anal Biochem. 1996; 239, 70–76.Google Scholar
18. Singh, NP, McCoy, MT, Tice, RR, Schneider, EL. A simple technique for quantitation of low levels of DNA damage in individual cells. Exp Cell Res. 1988; 175, 184–191.Google Scholar
19. Loy, SL, Sirajudeen, KNS, Hamid Jan, JM. Increase in maternal adiposity and poor lipid profile is associated with oxidative stress markers during pregnancy. Prev Med. 2012; 57, S41–S44.Google Scholar
20. Almeida, ND, Koren, G, Platt, RW, Kramer, MS. Hair biomarkers as measures of maternal tobacco smoke exposure and predictors of fetal growth. Nicotine Tob Res. 2011; 13, 328–335.CrossRefGoogle ScholarPubMed
21. Man, CN, Ismail, S, Harn, GL, Lajis, R, Awang, R. Determination of hair nicotine by gas chromatography-mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci. 2009; 877, 339–342.CrossRefGoogle ScholarPubMed
22. World Health Organization (WHO). Obesity: Preventing and Managing a Global Epidemic, Report of a WHO Consultant on Obesity. 1998. World Health Organization: Geneva.Google Scholar
23. Loy, SL, Marhazlina, M, Nor Azwany, Y, Hamid Jan, JM. Development, validity and reproducibility of a food frequency questionnaire in pregnancy for the Universiti Sains Malaysia birth cohort study. Mal J Nutr. 2011; 1, 1–18.Google Scholar
24. Fahmida, U, Dillon, DHS. Nutritional Assessment. 2nd edn, 2011. Regional Centre for Food and Nutrition (SEAMEO RECFON): Jakarta.Google Scholar
25. Norimah, AK, Safiah, MY, Zuhaida, H, et al. Malaysian Adult Nutrition Survey Volume 7: Habitual Food Intake of Adults Aged 18 to 59 Years. 2003. Nutrition Section, Family Health Development Division: Putrajaya.Google Scholar
26. Loy, SL, Hamid Jan, JM. Relative validity of dietary patterns during pregnancy assessed with a food frequency questionnaire. Int J Food Sci Nutr. 2013; 64, 668–673.Google Scholar
27. Kim, J-O, Mueller, C. Factor Analysis: Statistical Methods and Practical Issues. 1978. Sage Publications Inc.: CA.Google Scholar
28. World Health Organization (WHO). WHO Child Growth Standards: Training Course on Child Growth Assessment – Interpreting Growth Indicators. 2008. Department of Nutrition for Health and Development: Geneva.Google Scholar
29. World Health Organization (WHO). Maternal, newborn, child and adolescent health: Abbreviations and explanation of terms, 2013. Retrieved March 20, 2013 from http://www.who.int/maternal_child_adolescent/topics/child/nutrition/hivif_qa/abbrev/en/ Google Scholar
30. Hong, J, Park, EA, Kim, YJ, et al. Association of antioxidant vitamins and oxidative stress levels in pregnancy with infant growth during the first year of life. Public Health Nutr. 2008; 11, 998–1005.Google Scholar
31. Christian, P. Micronutrients, birth weight, and survival. Annu Rev Nutr. 2010; 30, 83–104.CrossRefGoogle ScholarPubMed
32. Ramesh, KN, Vidyadaran, MK, Goh, YM, et al. Maternal passive smoking and its effect on maternal, neonatal and placental parameters. Med J Malaysia. 2005; 60, 305–310.Google Scholar
33. Olsen, SF, Halldorsson, TI, Willett, WC, et al. Milk consumption during pregnancy is associated with increased infant size at birth: prospective cohort study. Am J Clin Nutr. 2007; 86, 1104–1110.Google Scholar
34. Norkhafizah, S, Norsa'adah, B, Zainuddin, SLA, Sosroseno, W, N Hazlina, NH. Higher incidence of low birth weight infants among Malays women with periodontitis in Kota Bharu, Kelantan. Jurnal Kesihatan Masyarakat. 2004; 1–3.Google Scholar
35. United Nations Children’s Fund and World Health Organization (UNICEF, WHO). Low Birthweight: Country, Regional and Global Estimates. 2004. UNICEF: New York.Google Scholar
36. Kuzawa, CW. Adipose tissue in human infancy and childhood: an evolutionary prespective. Am J Phys Anthropol. 1998; 41, 177–209.Google Scholar
37. Dauncey, MJ, Gandy, G, Gairdner, D. Assessment of total body fat in infancy from skinfold thickness measurements. Arch Dis Child. 1977; 52, 223–227.Google Scholar
38. Takagi, Y, Nikaido, T, Toki, T, et al. Levels of oxidative stress and redox-related molecules in the placenta in preeclampsia and fetal growth restriction. Virchows Arch. 2004; 444, 49–55.Google Scholar
39. Furness, DL, Dekker, GA, Roberts, CT. DNA damage and health in pregnancy. J Reprod Immunol. 2011; 89, 153–162.Google Scholar
40. Hong, YC, Lee, JT, Kim, H, et al. Effects of air pollutants on acute stroke mortality. Environ Health Perspect. 2002; 110, 187–191.Google Scholar
41. Burton, GJ, Jauniaux, E. Oxidative stress. Best Pract Res Clin Obstet Gynaecol. 2011; 25, 287–299.CrossRefGoogle ScholarPubMed
42. Dennery, PA. Effects of oxidative stress on embryonic development. Birth Defects Res C Embryo Today. 2007; 81, 155–162.Google Scholar
43. Adiga, U, Adiga, M. Total antioxidant activity in normal pregnancy. Online J Health Allied Scs. 2009; 8, 1–4.Google Scholar
44. Ong, KK. Size at birth, postnatal growth and risk of obesity. Horm Res. 2006; 65(Suppl. 3), 65–69.Google ScholarPubMed
45. Olhager, E, Forsum, E. Assessment of total body fat using the skinfold technique in full-term and preterm infants. Acta Paediatr. 2006; 95, 21–28.Google Scholar