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Objective This study aims to analyse the association of chemerin levels with several metabolic, biochemical and haematological parameters in a large Taiwanese population with relative healthy status. Design Cross-sectional study. Methods Data of 4101 healthy participants without history of hypertension, diabetes, dyslipidaemia and renal insufficiency from Taiwan Biobank were analysed. The demographic, biochemical and haematologic parameters were retrieved from the database. Chemerin levels were measured using commercially available enzyme-linked immunosorbent assay. Univariate and multivariate analysis was performed to test the independent correlates of chemerin. Results In the univariate analysis, circulating chemerin levels were positively associated with body mass index (BMI), waist circumference, waist-to-hip ratio (WHR), systolic (SBP) and diastolic blood pressure (DBP), haemoglobin A1C (HbA1C), total cholesterol, triglyceride, low-density lipoprotein cholesterol (LDL-C), creatinine, uric acid, alanine aminotransferase (ALT), gamma-glutamyl transferase (γ-GT), leucocyte and platelet counts both in men and women and negatively associated with high-density lipoprotein cholesterol (HDL-C), estimated glomerular filtration rate (eGFR) and total bilirubin. In the multivariate analysis, BMI, HbA1C, triglyceride, uric acid, γ-GT and platelet counts predicted chemerin levels independently both in men and in women with positive correlation, while eGFR, total bilirubin and HDL-C predicted circulating chemerin levels independently with negative correlation. Conclusions Chemerin level is independently associated with multiple metabolic, biochemical and haematological parameters. This study provides further evidence on the molecular basis linking obesity with several human diseases.

Background Galectin‐3 plays a crucial role in the regulation of inflammation. The aim of this study was to elucidate the association between LGALS3 genotypes, galectin‐3 levels, and inflammatory marker levels in patients with coronary artery disease (CAD). Results A total of 474 patients with CAD were enrolled. Significant correlations were discerned between galectin‐3 levels and leukocyte counts, C‐reactive protein, soluble intercellular adhesion molecule‐1, and matrix metalloproteinase 9 levels (all p, Galectin‐3 levels significantly correlated with leukocyte counts, C‐reactive protein, soluble intercellular adhesion molecule‐1, and matrix metalloproteinase 9 levels while LGALS3 SNPs rs2274273 and rs4644 genotypes independently associated with and contributed to 20.8% of galectin‐3 levels in patients with coronary artery disease. The absence of a significant association between LGALS3 gene variants and the inflammation markers levels suggested that it should be cautious when galectin‐3 was used as a therapeutic target for chronic inflammatory disorders, such as coronary artery disease.