Low Serum ZAG Levels Correlate With Determinants of the Metabolic Syndrome in Chinese Subjects.

Front Endocrinol (Lausanne)

Key Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.

Published: February 2021

AI Article Synopsis

  • Zinc-α2-glycoprotein (ZAG) is a newly identified adipokine linked to metabolic syndrome (MetS), and this study explores its serum levels in Chinese adults diagnosed with MetS based on specific criteria.
  • In the study, the highest serum ZAG levels were found in healthy controls, with levels decreasing in individuals with central obesity and those with MetS, indicating a correlation between ZAG levels and the severity of metabolic abnormalities.
  • The analysis showed that low levels of serum ZAG were associated with a higher risk of MetS, and serum ZAG may be a potential biomarker for MetS with improved diagnostic accuracy when considering the ZAG/fat mass ratio.

Article Abstract

Zinc-α2-glycoprotein (ZAG) is a novel adipokine, which is involved in metabolic syndrome (MetS). This study aimed to investigate the relationship between serum ZAG and MetS in Chinese adults, who diagnosed according to the 2005 International Diabetes Federation (IDF) criteria. A group of 151 MetS patients, 84 patients with central obesity and 70 healthy controls were enrolled. General clinical information, serum samples were obtained from all subjects and serum ZAG levels were determined via the commercial ELISA kits. Serum ZAG levels were the highest in the control group, then gradually decreased with the severity of the metabolic abnormalities increased (8.78 ± 1.66 μg/mL for control vs. 8.37 ± 1.52 μg/mL for central obesity vs. 7.98 ± 0.94 μg/mL for MetS, < 0.05). It was also decreased progressively with an increasing number of the MetS components ( for trend = 0.002). Additionally, serum ZAG/fat mass ratio was calculated and the similar changes were observed in the three groups (0.85 ± 0.53 μg/mL/kg for control vs. 0.39 ± 0.10 μg/mL/kg for central obesity vs. 0.36 ± 0.08 μg/mL/kg for MetS, < 0.05). In the multiple regression analysis, group was a strong independent factor contributing to serum ZAG levels ( < 0.001). Furthermore, compared with subjects with the highest tertile of ZAG, subjects in the lowest tertile of ZAG had 1.946-fold higher risk of MetS (95% CI 1.419-6.117, = 0.004). This phenomenon still existed after controlling for age, gender (Model 1), ALP, AST, Cr, UA, Urea based on Model 1 (Model 2), grip strength, smoking, drinking, birth place, current address, education level, manual labor, and exercise frequency based on Model 2 (Model 3). Receiver operation characteristic (ROC) curve analysis revealed that serum ZAG might serve as a candidate biomarker for MetS (sensitivity 57.6%, specificity 70.0% and area under the curve 0.655), and serum ZAG/fat mass ratio showed improved diagnosis value accuracy, with ROC curve area of 0.951 (95% CI, 0.920-0.983, < 0.001), and 90.7% sensitivity and 88.6% specificity. Serum ZAG levels were lowered in patients with MetS and central obesity. The decreased serum ZAG levels were associated with the increased risks of MetS. Serum ZAG, especially serum ZAG/fat mass ratio might be the candidate diagnostic biomarkers for MetS.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105689PMC
http://dx.doi.org/10.3389/fendo.2020.00154DOI Listing

Publication Analysis

Top Keywords

serum zag
36
zag levels
24
central obesity
16
zag
12
serum
12
serum zag/fat
12
zag/fat mass
12
mass ratio
12
mets
11
metabolic syndrome
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!