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

diabetes glucose lipid low-density lipoprotein cholesterol metabolic disorders metabolic syndrome non-alcoholic fatty liver disease obesity selenoprotein P

Journal

Antioxidants (Basel, Switzerland)
ISSN: 2076-3921
Titre abrégé: Antioxidants (Basel)
Pays: Switzerland
ID NLM: 101668981

Informations de publication

Date de publication:
27 Jun 2022
Historique:
received: 09 05 2022
revised: 15 06 2022
accepted: 23 06 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 28 7 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35883754
pii: antiox11071263
doi: 10.3390/antiox11071263
pmc: PMC9311835
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Subventions

Organisme : National Natural Science Foundation of China
ID : 81973038
Organisme : Science, Technology and Innovation Commission of Shenzhen Municipality, China
ID : JCYJ20200109142446804

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Auteurs

Ruirui Yu (R)

School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.

Zhoutian Wang (Z)

School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.

Miaomiao Ma (M)

School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.

Ping Xu (P)

Shenzhen Health Development Research and Data Management Center, Shenzhen 518028, China.

Longjian Liu (L)

Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA 19104, USA.

Alexey A Tinkov (AA)

Laboratory of Molecular Dietetics, IM Sechenov First Moscow State Medical University, 119146 Moscow, Russia.
Laboratory of Ecobiomonitoring and Quality Control, Yaroslavl State University, 150003 Yaroslavl, Russia.

Xin Gen Lei (XG)

Department of Animal Science, Cornell University, Ithaca, NY 14853, USA.

Ji-Chang Zhou (JC)

School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen 518107, China.
Guangdong Province Engineering Laboratory for Nutrition Translation, Guangzhou 510080, China.

Classifications MeSH