Literature DB >> 35686301

Growth differentiation factor-15 is independently associated with metabolic syndrome and hyperglycemia in non-elderly subjects.

Li-Chung Ho1, Hung-Tsung Wu2, Hao-Chang Hung3, Hsuan-Wen Chou1, Kai-Pi Cheng1, Ching-Han Lin1, Chih-Chen Wang4, Horng-Yih Ou1,2.   

Abstract

Metabolic syndrome (MetS) is a major health issue worldwide accompanied by cardiovascular comorbidities. Growth differentiation factor-15 (GDF-15) is a stress-responsive cytokine expressed in cardiomyocytes, adipocytes, macrophages, and endothelial cells. Previous research in elderly subjects revealed that GDF-15 levels were associated with the MetS. However, the association between GDF-15 levels and MetS or its components in the non-elderly subjects remains unclear. In this study, a total of 279 subjects younger than 65-year-old with (n = 84) or without (n = 195) MetS were recruited. MetS was defined according to modified NCEP/ATP III criteria. The GDF-15 levels were measured by an enzyme-linked immunosorbent assay. A multiple linear regression analysis was conducted to identify factors independently associated with GDF-15 levels. Subjects with MetS had higher GDF-15 levels than those without MetS (median (interquartile range), 1.72 ng/mL (1.38, 2.26) vs. 1.63 ng/mL (1.27, 2.07), P = 0.037). With the number of MetS components increased, the GDF-15 levels increased significantly (P for trend = 0.005). Multiple linear regression analysis revealed that the presence of MetS was positively associated with the GDF-15 levels (β = 0.132, P = 0.037). When substituting MetS with its components, only the presence of hyperglycemia was positively associated with the GDF-15 levels after adjustment for covariates (β = 0.193, P = 0.003). Taken together, the presence of the MetS in non-elderly was associated with higher GDF-15 levels. Among the MetS components, only hyperglycemia was significantly associated with the GDF-15 levels. Future longitudinal studies will be needed to explore whether GDF-15 has the potential to be a biomarker of gluco-metabolic dysfunction in non-elderly subjects.
© 2022 International Union of Biochemistry and Molecular Biology.

Entities:  

Keywords:  diabetes; growth differentiation factor-15; hyperglycemia; metabolic syndrome; non-elderly subjects

Year:  2022        PMID: 35686301     DOI: 10.1002/biof.1871

Source DB:  PubMed          Journal:  Biofactors        ISSN: 0951-6433            Impact factor:   6.113


  1 in total

1.  Research advances in gestational, neonatal diabetes mellitus and metabolic disorders.

Authors:  Ihtisham Bukhari; Furhan Iqbal; Rick Francis Thorne
Journal:  Front Endocrinol (Lausanne)       Date:  2022-07-29       Impact factor: 6.055

  1 in total

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