Atsushi Goto1, Mitsuhiko Noda2, Maki Goto3, Kazuki Yasuda4, Tetsuya Mizoue5, Taiki Yamaji6, Norie Sawada6, Motoki Iwasaki6, Manami Inoue7, Shoichiro Tsugane6. 1. Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan; Department of Diabetes Research, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan. Electronic address: atgoto@ncc.go.jp. 2. Department of Diabetes Research, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan; Department of Endocrinology and Diabetes, Saitama Medical University, Saitama, Japan. 3. Department of Diabetes Research, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan. 4. Department of Metabolic Disorder, Diabetes Research Center, National Center for Global Health and Medicine, Tokyo, Japan. 5. Department of Epidemiology and Prevention, National Center for Global Health and Medicine, Tokyo, Japan. 6. Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan. 7. Epidemiology and Prevention Group, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan; Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
Abstract
AIMS: To clarify the associations between plasma adiponectin levels and ADIPOQ variants with type 2 diabetes incidence in a general Japanese population. METHODS: We conducted a case-control study nested within the Japan Public Health Center-based Prospective Study. We measured plasma adiponectin levels and genotyped +45T>G (rs2241766) and +276G>T (rs1501299) in the ADIPOQ gene among 417 incident diabetes cases and 1197 control subjects matched by age, sex, and area. RESULTS: After potential confounding factor adjustment, the multivariable-adjusted diabetes odds ratios (ORs) were 0.59 (95% confidence interval [CI]: 0.51-0.68) and 0.68 (95% CI: 0.60-0.78) per 1 standard deviation increment in the log-transformed levels of total- and high-molecular-weight (HMW) adiponectin levels, respectively. However, the ADIPOQ variants were not significantly associated with plasma adiponectin levels (for total adiponectin, +45 P=0.15 and +276 P=0.08) and diabetes risk (+45 P=0.70 and +276 P=0.72) under the additive genetic model. CONCLUSIONS: Our prospective findings suggest that both total and HMW adiponectin levels are strongly and inversely associated with diabetes risk after adjustment for potential confounding factors; however, the ADIPOQ variants +45 and +276 are not associated with adiponectin levels and diabetes risk in the general Japanese population.
AIMS: To clarify the associations between plasma adiponectin levels and ADIPOQ variants with type 2 diabetes incidence in a general Japanese population. METHODS: We conducted a case-control study nested within the Japan Public Health Center-based Prospective Study. We measured plasma adiponectin levels and genotyped +45T>G (rs2241766) and +276G>T (rs1501299) in the ADIPOQ gene among 417 incident diabetes cases and 1197 control subjects matched by age, sex, and area. RESULTS: After potential confounding factor adjustment, the multivariable-adjusted diabetes odds ratios (ORs) were 0.59 (95% confidence interval [CI]: 0.51-0.68) and 0.68 (95% CI: 0.60-0.78) per 1 standard deviation increment in the log-transformed levels of total- and high-molecular-weight (HMW) adiponectin levels, respectively. However, the ADIPOQ variants were not significantly associated with plasma adiponectin levels (for total adiponectin, +45 P=0.15 and +276 P=0.08) and diabetes risk (+45 P=0.70 and +276 P=0.72) under the additive genetic model. CONCLUSIONS: Our prospective findings suggest that both total and HMW adiponectin levels are strongly and inversely associated with diabetes risk after adjustment for potential confounding factors; however, the ADIPOQ variants +45 and +276 are not associated with adiponectin levels and diabetes risk in the general Japanese population.
Authors: Ge Li; Ling Zhong; Lanwen Han; Yonghui Wang; Bo Li; Dongmei Wang; Yanglu Zhao; Yu Li; Qian Zhang; Lu Qi; John R Speakman; Steven M Willi; Ming Li; Shan Gao Journal: Int J Obes (Lond) Date: 2021-10-29 Impact factor: 5.551