Mya Thway Tint1, Marielle V Fortier2, Keith M Godfrey3, Borys Shuter4, Jeevesh Kapur5, Victor S Rajadurai6, Pratibha Agarwal6, Amutha Chinnadurai7, Krishnamoorthy Niduvaje7, Yiong-Huak Chan8, Izzuddin Bin Mohd Aris9, Shu-E Soh10, Fabian Yap11, Seang-Mei Saw12, Michael S Kramer13, Peter D Gluckman14, Yap-Seng Chong15, Yung-Seng Lee16. 1. Departments of Obstetrics and Gynecology and Pediatrics and. 2. Departments of Diagnostic and Interventional Imaging. 3. Medical Research Council Lifecourse Epidemiology Unit and National Institute for Health Research Southampton Biomedical Research Center, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, United Kingdom; 4. Departments of Obstetrics and Gynecology and. 5. Department of Diagnostic Imaging, National University Hospital, and. 6. Neonatology, and. 7. Department of Neonatology and. 8. Biostatistics Unit, Yong Loo Lin School of Medicine, and. 9. Pediatrics and Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; 10. Departments of Obstetrics and Gynecology and Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; 11. Pediatric Endocrinology, KK Women's and Children's Hospital, Singapore; Duke-NUS Graduate Medical School, Lee Kong Chian School of Medicine, Singapore; 12. Saw Swee Hock School of Public Health, National University of Singapore, Singapore; 13. Departments of Obstetrics and Gynecology and Departments of Pediatrics and Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Canada; and. 14. Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; Liggins Institute, University of Auckland, Auckland, New Zealand. 15. Departments of Obstetrics and Gynecology and Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; obgcys@nus.edu.sg paeleeys@nus.edu.sg. 16. Pediatrics and Division of Pediatric Endocrinology and Diabetes, Khoo Teck Puat-National University Children's Medical Institute, National University Health System, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore; obgcys@nus.edu.sg paeleeys@nus.edu.sg.
Abstract
BACKGROUND: A susceptibility to metabolic diseases is associated with abdominal adipose tissue distribution and varies between ethnic groups. The distribution of abdominal adipose tissue at birth may give insights into whether ethnicity-associated variations in metabolic risk originate partly in utero. OBJECTIVE: We assessed the influence of ethnicity on abdominal adipose tissue compartments in Asian neonates in the Growing Up in Singapore Toward Healthy Outcomes mother-offspring cohort. DESIGN: MRI was performed at ≤2 wk after birth in 333 neonates born at ≥34 wk of gestation and with birth weights ≥2000 g. Abdominal superficial subcutaneous tissue (sSAT), deep subcutaneous tissue (dSAT), and internal adipose tissue (IAT) compartment volumes (absolute and as a percentage of the total abdominal volume) were quantified. RESULTS: In multivariate analyses that were controlled for sex, age, and parity, the absolute and percentage of dSAT and the percentage of sSAT (but not absolute sSAT) were greater, whereas absolute IAT (but not the percentage of IAT) was lower, in Indian neonates than in Chinese neonates. Compared with Chinese neonates, Malay neonates had greater percentages of sSAT and dSAT but similar percentages of IAT. Marginal structural model analyses largely confirmed the results on the basis of volume percentages with controlled direct effects of ethnicity on abdominal adipose tissue; dSAT was significantly greater (1.45 mL; 95% CI: 0.49, 2.41 mL, P = 0.003) in non-Chinese (Indian or Malay) neonates than in Chinese neonates. However, ethnic differences in sSAT and IAT were NS [3.06 mL (95% CI:-0.27, 6.39 mL; P = 0.0712) for sSAT and -1.30 mL (95% CI: -2.64, 0.04 mL; P = 0.057) for IAT in non-Chinese compared with Chinese neonates, respectively]. CONCLUSIONS: Indian and Malay neonates have a greater dSAT volume than do Chinese neonates. This finding supports the notion that in utero influences may contribute to higher cardiometabolic risk observed in Indian and Malay persons in our population. If such differences persist in the longitudinal tracking of adipose tissue growth, these differences may contribute to the ethnic disparities in risks of cardiometabolic diseases. This trial was registered at clinicaltrials.gov as NCT01174875.
BACKGROUND: A susceptibility to metabolic diseases is associated with abdominal adipose tissue distribution and varies between ethnic groups. The distribution of abdominal adipose tissue at birth may give insights into whether ethnicity-associated variations in metabolic risk originate partly in utero. OBJECTIVE: We assessed the influence of ethnicity on abdominal adipose tissue compartments in Asian neonates in the Growing Up in Singapore Toward Healthy Outcomes mother-offspring cohort. DESIGN: MRI was performed at ≤2 wk after birth in 333 neonates born at ≥34 wk of gestation and with birth weights ≥2000 g. Abdominal superficial subcutaneous tissue (sSAT), deep subcutaneous tissue (dSAT), and internal adipose tissue (IAT) compartment volumes (absolute and as a percentage of the total abdominal volume) were quantified. RESULTS: In multivariate analyses that were controlled for sex, age, and parity, the absolute and percentage of dSAT and the percentage of sSAT (but not absolute sSAT) were greater, whereas absolute IAT (but not the percentage of IAT) was lower, in Indian neonates than in Chinese neonates. Compared with Chinese neonates, Malay neonates had greater percentages of sSAT and dSAT but similar percentages of IAT. Marginal structural model analyses largely confirmed the results on the basis of volume percentages with controlled direct effects of ethnicity on abdominal adipose tissue; dSAT was significantly greater (1.45 mL; 95% CI: 0.49, 2.41 mL, P = 0.003) in non-Chinese (Indian or Malay) neonates than in Chinese neonates. However, ethnic differences in sSAT and IAT were NS [3.06 mL (95% CI:-0.27, 6.39 mL; P = 0.0712) for sSAT and -1.30 mL (95% CI: -2.64, 0.04 mL; P = 0.057) for IAT in non-Chinese compared with Chinese neonates, respectively]. CONCLUSIONS: Indian and Malay neonates have a greater dSAT volume than do Chinese neonates. This finding supports the notion that in utero influences may contribute to higher cardiometabolic risk observed in Indian and Malay persons in our population. If such differences persist in the longitudinal tracking of adipose tissue growth, these differences may contribute to the ethnic disparities in risks of cardiometabolic diseases. This trial was registered at clinicaltrials.gov as NCT01174875.
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