Serum E-selectin concentration is associated with risk of metabolic syndrome in females

Autoři: Chien-Hsing Lee aff001;  Feng-Chih Kuo aff001;  Wen-Hao Tang aff002;  Chieh-Hua Lu aff001;  Sheng-Chiang Su aff001;  Jhih-Syuan Liu aff001;  Chang-Hsun Hsieh aff001;  Yi-Jen Hung aff002;  Fu-Huang Lin aff003
Působiště autorů: Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC aff001;  Division of Endocrinology and Metabolism, Department of Internal Medicine, Tri-Service General Hospital, Song Shan Branch, Taipei, Taiwan, ROC aff002;  School of Public Health, National Defense Medical Center, Taipei, Taiwan, ROC aff003
Vyšlo v časopise: PLoS ONE 14(9)
Kategorie: Research Article
doi: 10.1371/journal.pone.0222815



Traits of metabolic syndrome (MetS) and biomarkers of inflammation and endothelial dysfunction were examined. We investigated the differences of various biomarkers among individuals with or without Mets in a gender-specific manner. The gender-specific associations between E-selectin and MetS were further evaluated.


A total of 205 patients were recruited from the outpatient clinics of Tri-Service General Hospital, Taipei, Taiwan. Inclusion criteria were age between 20–75 years and BMI < 35 kg/m2. Demographic, anthropometric and MetS index data were compared between genders. Markers of inflammation and endothelial dysfunction were compared between individuals with or without MetS by gender.


Age-adjusted E-selectin values showed significant positive correlations with BMI, waist-hip ratio, fasting plasma glucose, systolic and diastolic blood pressure, triglycerides, TNF-α, hsCRP and ICAM-1, and inverse correlation with HDL cholesterol. E-selectin levels were positively correlated with numbers of MetS components in females (P < 0.001) but not in males (P = 0.125).


Increased E-selectin levels are significantly associated with increased MetS risk in females, but not in males.

Klíčová slova:

Biomarkers – Blood plasma – Hypertension – Cholesterol – Inflammation – Metabolic syndrome – Obesity


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