The role of oxidant-antioxidant markers and resistin in metabolic syndrome elderly individuals

The Relationship Between Small Dense Low-Density Lipoprotein Cholesterol and Metabolic Syndrome

Background

Prior research has established an association between small dense low-density lipoprotein cholesterol (sdLDL-C) and dyslipidemia, serving as a significant marker for predicting cardiovascular diseases. Nevertheless, the connection between sdLDL-C and metabolic syndrome (MetS) remains unclear.

Methods

This study retrospectively analyzed 23,187 individuals who underwent health checkups at Taizhou Hospital's health management center. Here, we investigated the relationship between sdLDL-C and MetS, along with its components, utilizing Spearman correlation analysis, receiver operating characteristic (ROC) curve analysis, logistic regression, and mediation analysis.

Results

The MetS group exhibited significantly higher level of sdLDL-C compared to the non-MetS group (P<0.001). We observed a strong correlation between sdLDL-C and several key factors: TG (r = 0.711), TC (r = 0.672), LDL-C (r = 0.781), GGT (r = 0.420), and HDL-C (r = -0.417). After adjusting for age and gender, the odds ratio (OR) (95% confidence interval [CI]) for MetS incidence in the second, third, and fourth quartiles versus the first quartile of sdLDL-C concentration were 2.264 (95% CI: 1.851, 2.770), 4.053 (95% CI: 3.350, 4.903), and 9.034 (95% CI: 7.531, 10.837). The optimal cut-off value for diagnosing MetS using sdLDL-C was determined to be 0.98 mmol/L, with an area under the ROC curve (AUC) of 0.716 (95% CI: 0.705, 0.726). Additionally, mediation analysis revealed that sdLDL-C mediated a 12.8% correlation between GGT and TG concentration.

Conclusion

The sdLDL-C is correlated with MetS and it can successfully mediate the relationship between GGT and TG. Our data suggests that sdLDL-c and GGT are suitable parameters for preventing and monitoring MetS.

Osteoclasts May Affect Glucose Uptake-Related Insulin Resistance by Secreting Resistin

OBJECTIVES

Bone may play a role in the modulation of insulin sensitivity. Insulin resistance can be caused by increased resistin. However, whether osteoclasts affect the insulin resistance via resistin remains unclear. In the present study, we show the expression of resistin in osteoclasts and the possible underlying role of resistin on glucose uptake-related insulin resistance in vitro.

METHODS

Conditioned mediums (CM) were collected from Raw264.7 cells treated without (CCM) or with RANKL (CM3, treated with RANKL for 3 days; CM5, treated with RANKL for 5 days) and transfected with control or resistin siRNA (CMsiRNA). The osteoclast formation was examined by tartrate resistant acid phosphatase (TRAP) staining. C2C12 myoblasts were cultured with the CM or CMsiRNA. Glucose uptake was evaluated by 2-NBDG fluorescence intensity. Resistin expression was evaluated by quantitative real-time polymerase chain reaction (qRT-PCR) and enzyme-linked immunosorbent assay. Statistical analysis was performed by an independent two sample t-test or one-way ANOVA.

RESULTS

The 2-NBDG fluorescence intensity was higher in C2C12 cells treated with CCM compared to those that received CM3 and CM5 (p < 0.05). Resistin mRNA and protein expressions were both increased in RAW264.7 cells treated with RANKL for 3 days and 5 days compared with those cells without RANKL administration. The 2-NBDG fluorescence intensities in C2C12 cells treated with CMsiRNA and CM5+Anti-resistin antibody were significantly higher than those cultured with CM5 (p < 0.05).

CONCLUSION

Osteoclasts may promote glucose uptake-related insulin resistance by secreting resistin.