OBJECTIVE: Insulinlike growth factor II (IGF-II) regulates metabolism and growth. In humans, both positive and negative relationships have been reported between serum IGF-II levels and obesity. This study assessed the relationship between serum IGF-II levels and BMI and determined whether IGF-II levels predict weight gain. METHODS: Serum samples were available from 911 American Indians with a recorded BMI. IGF-II was measured using enzyme-linked immunosorbent assay. RESULTS: Serum IGF-II levels were negatively correlated with BMI (r = -0.17, P = 4.4 × 10-7 , adjusted for age, sex, and storage time). The strongest correlation was in participants aged ≥ 30 years (r = -0.28, P = 3.4 × 10-8 , N = 349), a modest correlation was in participants aged 20 to 29 years (r = -0.15, P = 7.6 × 10-3 , N = 322), and participants aged 15 to 19 years had no correlation (r = 0.05, P = 0.48, N = 240). IGF-II levels did not predict weight gain. However, among individuals who had genotypes for 64 established obesity variants (age ≥ 20 years, N = 671), a genetic risk score for high BMI was associated with lower IGF-II (β = -0.08 SD of IGF-II per SD of the genetic risk score, P = 0.025). CONCLUSIONS: There is a negative relationship between IGF-II levels and BMI, in which the correlation is stronger at older ages. The association between genetic risk for BMI and IGF-II levels suggests that this correlation may be due to an effect of obesity on IGF-II. Published 2020. This article is a U.S. Government work and is in the public domain in the USA.
OBJECTIVE: Insulinlike growth factor II (IGF-II) regulates metabolism and growth. In humans, both positive and negative relationships have been reported between serum IGF-II levels and obesity. This study assessed the relationship between serum IGF-II levels and BMI and determined whether IGF-II levels predict weight gain. METHODS: Serum samples were available from 911 American Indians with a recorded BMI. IGF-II was measured using enzyme-linked immunosorbent assay. RESULTS: Serum IGF-II levels were negatively correlated with BMI (r = -0.17, P = 4.4 × 10-7 , adjusted for age, sex, and storage time). The strongest correlation was in participants aged ≥ 30 years (r = -0.28, P = 3.4 × 10-8 , N = 349), a modest correlation was in participants aged 20 to 29 years (r = -0.15, P = 7.6 × 10-3 , N = 322), and participants aged 15 to 19 years had no correlation (r = 0.05, P = 0.48, N = 240). IGF-II levels did not predict weight gain. However, among individuals who had genotypes for 64 established obesity variants (age ≥ 20 years, N = 671), a genetic risk score for high BMI was associated with lower IGF-II (β = -0.08 SD of IGF-II per SD of the genetic risk score, P = 0.025). CONCLUSIONS: There is a negative relationship between IGF-II levels and BMI, in which the correlation is stronger at older ages. The association between genetic risk for BMI and IGF-II levels suggests that this correlation may be due to an effect of obesity on IGF-II. Published 2020. This article is a U.S. Government work and is in the public domain in the USA.
Authors: Wen-Chi Hsueh; Anup K Nair; Sayuko Kobes; Peng Chen; Harald H H Göring; Toni I Pollin; Alka Malhotra; William C Knowler; Leslie J Baier; Robert L Hanson Journal: Circ Cardiovasc Genet Date: 2017-12
Authors: J K Cruickshank; A H Heald; S Anderson; J E Cade; J Sampayo; L K Riste; A Greenhalgh; W Taylor; W Fraser; A White; J M Gibson Journal: Am J Epidemiol Date: 2001-09-15 Impact factor: 4.897
Authors: Yunhua L Muller; Paolo Piaggi; Peng Chen; Gregory Wiessner; Chidinma Okani; Sayuko Kobes; William C Knowler; Clifton Bogardus; Robert L Hanson; Leslie J Baier Journal: Diabetes Metab Res Rev Date: 2016-12-28 Impact factor: 4.876