AIM: Fetuin-A plays a role in insulin resistance and cardiovascular disease. This study aims to determine the relationship between fetuin-A levels and cardiometabolic risk factors, as well as to investigate the effect of serum fetuin-A on insulin resistance indices to determine whether fetuin-A is an additional marker for insulin resistance in prepubertal children. METHODS: A total of 99 prepubertal Korean children (59 males) aged from 6.0 to 10.0 years was included in this study. Subjects were divided into underweight/normal-weight and overweight/obese groups. Serum fetuin-A levels were measured using an enzyme-linked immunosorbent assay and were natural logarithm (ln)-transformed. RESULTS: Serum fetuin-A concentrations were significantly elevated in overweight/obese children as compared with underweight/normal-weight children (P=0.029). Ln serum fetuin-A was significantly positively correlated with body mass index (BMI) standard deviation scores (SDSs) (r=0.239, P=0.017), triglyceride levels (r=0.285, P=0.004), ln insulin (r=0.377, P＜0.001), systolic blood pressure (BP) (r=0.274, P=0.006), and diastolic BP (r=0.304, P=0.006) and was significantly inversely correlated with high-density lipoprotein cholesterol (HDL-C) levels (r=-0.236, P=0.019). In univariate linear regression analysis, ln fetuin-A was significantly positively associated with the homeostasis model assessment of insulin resistance (HOMA-IR) (r=0.356, P＜0.001) and significantly inversely associated with the quantitative insulin sensitivity check index (QUICKI) (r=-0.309, P=0.002). Following adjustment for age, gender, BMI, and lipid profiles in multivariate linear regression analysis, fetuin-A was significantly positively associated with HOMA-IR (P=0.048) and marginally inversely associated with QUICKI (P=0.054). CONCLUSIONS: Our results suggest that fetuin-A can be an alternative marker for insulin resistance and cardiovascular risk in prepubertal children.
AIM: Fetuin-A plays a role in insulin resistance and cardiovascular disease. This study aims to determine the relationship between fetuin-A levels and cardiometabolic risk factors, as well as to investigate the effect of serum fetuin-A on insulin resistance indices to determine whether fetuin-A is an additional marker for insulin resistance in prepubertal children. METHODS: A total of 99 prepubertal Korean children (59 males) aged from 6.0 to 10.0 years was included in this study. Subjects were divided into underweight/normal-weight and overweight/obese groups. Serum fetuin-A levels were measured using an enzyme-linked immunosorbent assay and were natural logarithm (ln)-transformed. RESULTS: Serum fetuin-A concentrations were significantly elevated in overweight/obesechildren as compared with underweight/normal-weight children (P=0.029). Ln serum fetuin-A was significantly positively correlated with body mass index (BMI) standard deviation scores (SDSs) (r=0.239, P=0.017), triglyceride levels (r=0.285, P=0.004), ln insulin (r=0.377, P＜0.001), systolic blood pressure (BP) (r=0.274, P=0.006), and diastolic BP (r=0.304, P=0.006) and was significantly inversely correlated with high-density lipoprotein cholesterol (HDL-C) levels (r=-0.236, P=0.019). In univariate linear regression analysis, ln fetuin-A was significantly positively associated with the homeostasis model assessment of insulin resistance (HOMA-IR) (r=0.356, P＜0.001) and significantly inversely associated with the quantitative insulin sensitivity check index (QUICKI) (r=-0.309, P=0.002). Following adjustment for age, gender, BMI, and lipid profiles in multivariate linear regression analysis, fetuin-A was significantly positively associated with HOMA-IR (P=0.048) and marginally inversely associated with QUICKI (P=0.054). CONCLUSIONS: Our results suggest that fetuin-A can be an alternative marker for insulin resistance and cardiovascular risk in prepubertal children.
Authors: A H Kissebah; G E Sonnenberg; J Myklebust; M Goldstein; K Broman; R G James; J A Marks; G R Krakower; H J Jacob; J Weber; L Martin; J Blangero; A G Comuzzie Journal: Proc Natl Acad Sci U S A Date: 2000-12-19 Impact factor: 11.205
Authors: Isabela Gerdes Gyuricza; Joel M Chick; Gregory R Keele; Andrew G Deighan; Steven C Munger; Ron Korstanje; Steven P Gygi; Gary A Churchill Journal: Genome Res Date: 2022-03-11 Impact factor: 9.438
Authors: Wen-Juan Wang; Lin Zhang; Tao Zheng; Guang-Hui Zhang; Kun Du; Meng-Nan Yang; Hua He; Shufan Wang; Weiye Wang; Jun Zhang; Fengxiu Ouyang; Zhong-Cheng Luo Journal: BMJ Open Diabetes Res Care Date: 2020-02