Monocyte/High-Density Lipoprotein Cholesterol Ratio Predicts Vitamin D Deficiency in Male Patients with Type 2 Diabetes Mellitus.

Purpose: This study aimed to investigate the relationship between monocyte/high-density lipoprotein cholesterol ratio (MHR) and 25-hydroxyvitamin D [25(OH) D] level in patients with type 2 diabetes mellitus (T2DM), the risk factors for vitamin D deficiency, and the clinical value of MHR as a predictor of vitamin D deficiency in this population. Patients and Methods: This was a cross-sectional study of 260 patients with T2DM from May 2021 to October 2021. Based on internationally used criteria for defining vitamin D levels, the patients were divided according to sex and levels of vitamin D into the following four groups: Group A1 (male patients with vitamin D levels <20 ng/mL), group A2 (male patients with vitamin D levels ≥20 ng/mL), group B1 (female patients with vitamin D levels <20 ng/mL), and group B2 (female patients with vitamin D levels≥20 ng/mL). The MHR was calculated as a monocyte/high-density cholesterol lipoprotein ratio. Results: The vitamin D level was independently and negatively correlated with the MHR in male patients with T2DM, but not in female patients. The MHR was an independent risk factor and predictor for the development of vitamin D deficiency in male patients, but not in female patients, with T2DM. High-density lipoprotein (HDL) was an independent protective factor for vitamin D deficiency in female patients with T2DM. Conclusion: This study suggested that the MHR was a new marker for predicting vitamin D deficiency in male patients with T2DM. Alleviating inflammation, improving lipid metabolism, and increasing HDL levels in patients with T2DM might help improve vitamin D levels, which might be important for preventing and managing T2DM. The MHR might help as a new marker to predict vitamin D deficiency in China, where primary hospitals lack the capacity for vitamin D testing on a large scale.

The relationship between estimated glucose disposal rate and bone turnover markers in type 2 diabetes mellitus.

PURPOSE: To investigate the relationship between estimated glucose disposal rate (eGDR) and bone turnover markers in patients with type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS: This is a cross-sectional study, which recruited 549 patients with T2DM. The eGDRs of patients were calculated based on the presence of hypertension, glycated hemoglobin, and body mass index. All patients were divided into high-eGDR group and low-eGDR group using the median of eGDR as the boundary. The patients were further divided into two subgroups: males and postmenopausal females. RESULTS: The lower the eGDR, the more severe was insulin resistance. The levels of osteocalcin (OC), type I collagen carboxyl-terminal peptide (ß-CTX), and type I procollagen amino-terminal peptide (PINP) were significantly lower in the low-eGDR group than those in the high-eGDR group. The eGDR was positively correlated with OC, ß-CTX, and PINP in all patients, and in the male subgroups. In the postmenopausal female subgroup, there was no correlation between eGDR and OC, ß-CTX, or PINP. In addition, this positive correlation remained after adjusting for other factors in multilinear regression analysis. CONCLUSION: Our study was the first to demonstrate that eGDR is positively correlated with bone turnover markers in patients with T2DM. This correlation was observed among the male patients with T2DM but not among postmenopausal female patients with T2DM.

Predictive Value of Plasma Atherogenic Index for Microalbuminuria in Newly Diagnosed Patients with Type 2 Diabetes Mellitus.

Purpose: This study aims to explore the predictive value of plasma atherogenic index of plasma (AIP) for microalbuminuria (MAU) in newly diagnosed patients with type 2 diabetes mellitus (T2DM). Methods: This study was a retrospective study, which included 335 newly diagnosed T2DM patients. They were divided into microalbuminuria group (group A, n = 105 cases) and no microalbuminuria group (group B, n = 230 cases) according to whether microalbuminuria occurred. General information and laboratory examination indexes of patients were collected, and AIP was calculated. Multivariate logistic regression analysis was used to analyze the independent risk factors of microalbuminuria in T2DM patients, and receiver operating characteristic curve (ROC) was established to evaluate the predictive value of AIP on MAU of newly diagnosed T2DM patients. Results: According to general data analysis, AIP level in group A was significantly higher than that in group B (P < 0.05). Multivariate logistic regression analysis showed that AIP was an independent risk factor for microalbuminuria (P < 0.05). The receiver operating characteristic curve showed that the area under the curve (AUC) of AIP was 0.772 (P < 0.05), which had a good predictive value for the occurrence of MAU in newly diagnosed T2DM patients. The waist-hip ratio, triglyceride, high-density lipoprotein cholesterol, fasting blood glucose, glycosylated hemoglobin and AIP were used to make a joint model, and the AUC was 0.841 (P < 0.05), which had a better predictive value for the occurrence of MAU. Conclusions: AIP is an independent risk factor and could predict the occurrence of MAU in newly diagnosed T2DM patients. AIP provides clinicians a reliable basis to quickly identify high-risk patients and formulate appropriate treatment strategies.