Ling Chen1, Yufeng Li2, Fang Zhang3, Simin Zhang4, Xianghai Zhou5, Linong Ji6. 1. Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District of Beijing, Beijing, China. Electronic address: chenling19841227@163.com. 2. Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District of Beijing, Beijing, China; Department of Endocrinology and Metabolism, Pinggu Hospital, 59th Xinping North Road, Pinggu District of Beijing, Beijing, China. Electronic address: doctorlyf@126.com. 3. Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District of Beijing, Beijing, China. Electronic address: zhangfang87@outlook.com. 4. Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District of Beijing, Beijing, China. Electronic address: november619@hotmail.com. 5. Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District of Beijing, Beijing, China. Electronic address: xianghaizhou1@163.com. 6. Department of Endocrinology and Metabolism, Peking University People's Hospital, 11th South Street, Xicheng District of Beijing, Beijing, China. Electronic address: jiln@bjmu.edu.cn.
Abstract
AIMS: Increased iron is associated with type 2 diabetes, dyslipidemia, and high blood pressure. Therefore, serum ferritin may be a suitable biomarker to detect metabolic syndrome (MetS). We investigated the relationship between serum ferritin, and the prevalence of MetS and insulin resistance (IR). METHODS: This cross-sectional study assessed 2,786 Chinese participants, aged 25-75 years. MetS was defined using the 2006 International Diabetes Federation guidelines. IR was assessed with homeostasis model assessment estimated IR (HOMA-IR). Regression analysis was used to estimate the association between serum ferritin and the prevalence of MetS and IR. RESULTS: MetS prevalence within each serum ferritin quartile (Q1-4) was 31.7%, 37.1%, 43.6%, and 55.4%, respectively in men (P<0.001), and 30.1%, 34.8%, 48.2%, and 66.9%, respectively in women (P<0.001). Increased serum ferritin correlated with the number of MetS components (P<0.001). The odds ratio for MetS in the ferritin Q4 group was 1.95 (1.39-2.73) for men and 1.66(1.12-2.47) for women, compared with Q1. Serum ferritin correlated positively with HOMA-IR in men (regression coefficient: 0.058, P=0.009) and women (regression coefficient: 0.082, P=0.001). CONCLUSION: MetS prevalence increased with elevated serum ferritin levels, and serum ferritin levels were independently associated with MetS and IR.
AIMS: Increased iron is associated with type 2 diabetes, dyslipidemia, and high blood pressure. Therefore, serum ferritin may be a suitable biomarker to detect metabolic syndrome (MetS). We investigated the relationship between serum ferritin, and the prevalence of MetS and insulin resistance (IR). METHODS: This cross-sectional study assessed 2,786 Chinese participants, aged 25-75 years. MetS was defined using the 2006 International Diabetes Federation guidelines. IR was assessed with homeostasis model assessment estimated IR (HOMA-IR). Regression analysis was used to estimate the association between serum ferritin and the prevalence of MetS and IR. RESULTS: MetS prevalence within each serum ferritin quartile (Q1-4) was 31.7%, 37.1%, 43.6%, and 55.4%, respectively in men (P<0.001), and 30.1%, 34.8%, 48.2%, and 66.9%, respectively in women (P<0.001). Increased serum ferritin correlated with the number of MetS components (P<0.001). The odds ratio for MetS in the ferritin Q4 group was 1.95 (1.39-2.73) for men and 1.66(1.12-2.47) for women, compared with Q1. Serum ferritin correlated positively with HOMA-IR in men (regression coefficient: 0.058, P=0.009) and women (regression coefficient: 0.082, P=0.001). CONCLUSION: MetS prevalence increased with elevated serum ferritin levels, and serum ferritin levels were independently associated with MetS and IR.
Authors: Laureane N Masi; Paulo A Lotufo; Frederico M Ferreira; Alice C Rodrigues; Tamires D A Serdan; Talita Souza-Siqueira; Aécio A Braga; Magda E G Saldarriaga; Tatiana C Alba-Loureiro; Fernanda T Borges; Diego P Cury; Mario H Hirata; Renata Gorjão; Tania C Pithon-Curi; Simão A Lottenberg; Ligia M G Fedeli; Helder T I Nakaya; Isabela J M Bensenor; Rui Curi; Sandro M Hirabara Journal: Physiol Rep Date: 2021-02