Literature DB >> 32592413

Association between circulating follistatin-like-1 and metabolic syndrome in middle-aged and old population: A cross-sectional study.

Shan Yang1, Han Dai1, Wenjing Hu2, Shan Geng1, Ling Li3, Xinrun Li1, Hua Liu4, Dongfang Liu1, Ke Li1, Gangyi Yang1, Mengliu Yang1.   

Abstract

AIM: Follistatin-like-1 (FSTL-1) is considered to be a novel cytokine, and it is associated with metabolic diseases. However, it is necessary to investigate further the association of FSTL-1 with metabolic syndrome (MetS) and insulin resistance (IR). We performed a cross-sectional study to investigate the associated of circulating FSTL-1 with the MetS.
MATERIALS AND METHODS: A cross-sectional study was performed in 487 Chinese people, including 231 control subjects and 256 patients with MetS. Bioinformatics analysis was used to determine the protein and pathways associated with FSTL-1. The protein and protein interaction (PPI) network was constructed and analysed. Serum FSTL-1 concentrations were determined by an ELISA assay. The association of FSTL-1 with MetS components and IR was assessed.
RESULTS: Serum FSTL-1 levels were markedly higher in patients with newly diagnosed MetS than in controls (7.5 [5.6-9.2] vs 5.8 [5.0-7.7] μg/L, P < .01). According to bioinformatics analysis, the top high-degree genes were identified as the core genes, including SPARCL1, CYR61, LTBP1, IL-6, BMP2, BMP4, FBN1, FN1 CHRDL1 and FSTL-3. These genes are mainly enriched in pathways including TGF-ß, AGE-RAGE signalling pathway in diabetic complications, and Hippo signalling pathways; in basal cell carcinoma, cytokine-cytokine receptor interaction and in amoebic and Yersinia infections. Furthermore, serum FSTL-1 levels were positively associated with fasting plasma glucose (FPG), waist circumference (WC), blood pressure, triglyceride levels and visceral adiposity index (VAI). We found that serum FSTL-1 levels were markedly associated with MetS and IR by binary logistic regression analysis.
CONCLUSIONS: We conclude that FSTL-1 may be a novel cytokine related to MetS and IR.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  FSTL-1; bioinformatics; insulin resistance; metabolic syndrome

Mesh:

Substances:

Year:  2020        PMID: 32592413     DOI: 10.1002/dmrr.3373

Source DB:  PubMed          Journal:  Diabetes Metab Res Rev        ISSN: 1520-7552            Impact factor:   4.876


  5 in total

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  5 in total

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