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

• Main Authors: Xiao Zong, Qin Fan, Hang Zhang, Qian Yang, Hongyang Xie, Qiujing Chen, Ruiyan Zhang, Rong Tao
• Format: Article
• Language: English
• Published: Bioscientifica 2021-04-01
• Series: Endocrine Connections
• Subjects: soluble st2; metabolic syndrome; inflammation; cardiovascular disease
• Online Access: https://ec.bioscientifica.com/view/journals/ec/10/3/EC-20-0645.xml
• ISSN: 2049-3614; 2049-3614

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 & Cardiology, Shanghai Jiao Ton g 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 concentrati ons 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% CI: 1.13–1.80, P < 0.01). Subgroup analysis showed that individuals with MetS have signifi cantly 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.