Impact of urinary sodium excretion on the prevalence and incidence of metabolic syndrome: a population-based study

Elevated serum levels of leukocyte cell-derived chemotaxin 2 are associated with the prevalence of metabolic syndrome

AIMS

Inflammation is central to the pathogenesis of metabolic syndrome (MetS). Leukocyte cell-derived chemotaxin 2 (LECT2) is constitutively secreted in response to inflammatory stimuli and oxidative stress contributing to tissue or systemic inflammation. We explored the relationship between LECT2 levels and MetS severity in humans and mice.

METHODS

Serum LECT2 levels were measured in 210 participants with MetS and 114 without MetS (non-MetS). LECT2 expression in the liver and adipose tissue was also examined in mice fed a high-fat diet (HFD) and genetically obese (ob/ob) mice.

RESULTS

Serum LECT2 levels were significantly higher in MetS participants than in non-MetS participants (7.47[3.36-17.14] vs. 3.74[2.61-5.82], P < 0.001). Particularly, serum LECT2 levels were significantly elevated in participants with hypertension, central obesity, diabetes mellitus (DM), hyperglycaemia, elevated triglyceride (TG) levels, and reduced high-density lipoprotein cholesterol (HDL-C) levels compared to those in participants without these conditions. Pearson's correlation analysis showed that serum LECT2 levels were positively associated with conventional risk factors in all patients. Moreover, LECT2 was positively associated with the number of MetS components (r = 0.355, P < 0.001), indicating that higher serum LECT2 levels reflected MetS severity. Multivariate regression analysis revealed that a one standard deviation increase in LECT2 was associated with an odds ratio of 1.52 (1.01-2.29, P = 0.044) for MetS prevalence after adjusting for age, sex, body mass index, waist circumference, smoking status, white blood cell count, fasting blood glucose, TG, total cholesterol, HDL-C, blood urea nitrogen, and alanine aminotransferase. Receiver operating characteristic curve analysis confirmed the strong predictive ability of serum LECT2 levels for MetS. The optimum serum LECT2 cut-off value was 9.05. The area under the curve was 0.73 (95% confidence interval 0.68-0.78, P < 0.001), with a sensitivity and specificity of 45.71% and 95.61%, respectively. Additionally, LECT2 expression levels were higher at baseline and dramatically enhanced in metabolic organs (e.g. the liver) and adipose tissue in HFD-induced obese mice and ob/ob mice.

CONCLUSIONS

Increased LECT2 levels were significantly and independently associated with the presence and severity of MetS, indicating that LECT2 could be used as a novel biomarker and clinical predictor of MetS.