Soluble ST2 levels for predicting the presence and severity of metabolic syndrome

in Endocrine Connections
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  • 1 X Zong, Department of Vascular and Cardiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
  • 2 Q Fan, Department of Vascular and Cardiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 3 H Zhang, Department of Vascular and Cardiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 4 Q Yang, Department of Vascular and Cardiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 5 H Xie, Department of Vascular and Cardiology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
  • 6 Q Chen, Institution of Cardiovascular Diseases, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
  • 7 R Zhang, Department of Vascular and Cardiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China
  • 8 R Tao, Department of Vascular and Cardiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, Shanghai, China

Correspondence: Rong Tao, Email: rongtao@hotmail.com

To explore the relationship between soluble ST2 (sST2) and metabolic syndrome (MetS) and determine whether sST2 levels can predict the presence and severity of MetS. We evaluated 550 consecutive subjects (58.91 ± 9.69 years, 50% male) with or without MetS from the Department of Vascular and Cardiology, Shanghai Jiao Tong University-Affiliated Ruijin Hospital. Serum sST2 concentrations were measured. The participants were divided into three groups according to the sST2 tertiles. Univariate and multivariable logistic regression models were used to evaluate the association between serum sST2 concentrations and the presence of MetS. Serum sST2 concentrations were significantly higher in the MetS group than in those in the no MetS group (14.80 ± 7.01 vs. 11.58 ± 6.41 ng/ml, P < 0.01). Subjects with more MetS components showed higher levels of sST2. sST2 was associated with the occurrence of MetS after multivariable adjustment as a continuous log-transformed variable (per 1 SD, odds ratio [OR]: 1.42, 95% confidence interval [CI]: 1.13-1.80, P < 0.01). Subgroup analysis showed that individuals with MetS have significantly higher levels of sST2 than those without MetS regardless of sex and age.High serum sST2 levels were significantly and independently associated with the presence and severity of MetS. Thus, sST2 levels may be a novel biomarker and clinical predictor of MetS.

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     European Society of Endocrinology

     Society for Endocrinology

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