Low serum ZAG levels correlate with determinants of the metabolic syndrome in Chinese subjects
Open accessAbstract
Introduction: 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. Methods: 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. Results: 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, P<0.05). It was also decreased progressively with an increasing number of the MetS components (P 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, P<0.05). In the multiple regression analysis, group was a strong independent factor contributing to serum ZAG levels (P<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, P=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, P<0.001), and 90.7% sensitivity and 88.6% specificity. Conclusions: 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.
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Serum ZAG levels are lower in overweight or obese patients.
“Studies show that serum ZAG levels are lower in overweight or obese patients [37].”
From Adipokines, Myokines, and Hepatokines: Crosstalk and Metabolic Repercussions (2021) · cites this paper as [37]
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- Authors
- Wang, L., Liu, M., Ning, D., Zhu, H., Shan, G., Wang, D., Ping, B., Yu, Y., Yang, H., Yan, K., Pan, H., & Gong, F.
- Affiliations
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Guizhou Center for Disease Control and Prevention (CN)
- Corresponding author
- Pan, Hui
- Gong, Fengying
- ORCID
- Venue
- Frontiers in Endocrinology
- Publisher
- Frontiers Media SA
- Published
- 2020-03-24
- Volume
- 11
- Pages
- 154-154
- ISSN
- 1664-2392 (ISSN-L)
- PMC
- PMC7105689
- OpenAlex
- W3013801749
- Cited by
- 21
- References
- 55
- Citations by year
- 2025: 3 · 2024: 2 · 2023: 4 · 2022: 4 · 2021: 6 · 2020: 2
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Endocrinology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China (81471024, No. 81370898, 81673184, 7182130, WBYZ2011–873, 81370898)
- Topics
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Physiology › Adipose Tissue and Metabolism
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- zinc-alpha2-glycoprotein, metabolic syndrome, adipokines, abdominal obesity, serum biomarkers, metabolic syndrome risk factors, Chinese adults, diagnostic accuracy, visceral fat mass, insulin resistance, dyslipidemia, hypertension, fasting blood glucose, fasting insulin, adiponectin, leptin, resistin, adiponectin/leptin ratio
- MeSH terms
- Zn-Alpha-2-Glycoprotein, Blood Glucose, Female, Humans, Male, Middle Aged, ROC Curve, Biomarkers, Case-Control Studies, Metabolic Syndrome, Asian People, Adipokines, Obesity, Abdominal
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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