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Associations between Circulating SELENOP Level and Disorders of Glucose and Lipid Metabolism: A Meta-Analysis
Journal article   Open access   Peer reviewed

Associations between Circulating SELENOP Level and Disorders of Glucose and Lipid Metabolism: A Meta-Analysis

Ruirui Yu, Zhoutian Wang, Miaomiao Ma, Ping Xu, Longjian Liu, Alexey Tinkov, Xin Gen Lei and Zhou Ji-Chang
Antioxidants, v 11(7), p1263
01 Jan 2022
DOI: https://doi.org/10.3390/antiox11071263
Featured in Collection :   UN Sustainable Development Goals @ Drexel
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https://doi.org/10.3390/antiox11071263View
Published, Version of Record (VoR)CC BY V4.0,  Open

Abstract

Antioxidants Cholesterol Citation management software Diabetes Diabetes mellitus (non-insulin dependent) Disease Fatty liver Glucose Glucose metabolism Lipid metabolism Lipids Liver Liver diseases Meta-analysis Metabolic disorders Metabolic syndrome Obesity Selenium Sensitivity analysis
Selenoprotein P (SELENOP) is an extracellular antioxidant, selenium transporter, and hepatokine interfering with glucose and lipid metabolism. To study the association between the circulating SELENOP concentration and glucose and lipid metabolic diseases (GLMDs), including gestational diabetes (GD), metabolic syndrome (MetS), non-alcoholic fatty liver disease, obesity, and type 2 diabetes, as well as the individual markers, a meta-analysis was conducted by searching multiple databases from their establishment through March 2022 and including 27 articles published between October 2010 and May 2021, involving 4033 participants. Participants with GLMDs had higher levels of SELENOP than those without GLMDs (standardized mean difference = 0.84, 95% CI: 0.16 to 1.51), and the SELENOP levels were positively correlated with the markers of GLMDs (pooled effect size = 0.09, 95% CI: 0.02 to 0.15). Subgroup analyses showed that the SELENOP concentrations were higher in women with GD and lower in individuals with MetS than their counterparts, respectively. Moreover, SELENOP was positively correlated with low-density lipoprotein cholesterol, but not with the other markers of GLMDs. Thus, the heterogenicity derived from diseases or disease markers should be carefully considered while interpreting the overall positive association between SELENOP and GLMDs. Studies with a larger sample size and advanced design are warranted to confirm these findings.

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25 citations in Web of Science
21 citations in Scopus

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UN Sustainable Development Goals (SDGs)

This publication has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

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Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Biochemistry & Molecular Biology
Chemistry, Medicinal
Food Science & Technology
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