Effect of Sarcopenia on 10-Year Risk of Atherosclerotic Cardiovascular Disease in Patients with Type 2 Diabetes Mellitus.

Objective: To investigate the impact of sarcopenia on the 10-year risk of atherosclerotic cardiovascular disease (ASCVD) among individuals with type 2 diabetes mellitus (T2DM). Methods: This study included the clinical, laboratory, and body composition data of 1491 patients with T2DM who were admitted to the Department of Endocrinology and Metabolism at Tianjin Union Medical Center from July 2018 to July 2023. The China-PAR model was utilized to evaluate cardiovascular disease risk. Associations between ASCVD risk and various clinical parameters were analyzed, and the relationship between body composition parameters and ASCVD risk was assessed using logistic regression. Results: The analysis revealed that T2DM patients with sarcopenia had a higher 10-year ASCVD risk compared to those without sarcopenia, with reduced muscle mass independently predicting an increased risk of cardiovascular disease. This association was significant among female T2DM patients, while male T2DM patients with sarcopenia showed a marginally higher median ASCVD risk compared to their non-sarcopenic counterparts. ASCVD risk inversely correlated with body muscle parameters and positively correlated with fat content parameters. Specifically, height- and weight-adjusted fat mass (FM, FM%, FMI) were identified as risk factors for ASCVD. Conversely, muscle parameters adjusted for weight and fat (ASM%, SMM%, FFM%, ASM/FM, SMM/FM, FMM/FM) were protective against ASCVD risk. These findings highlight the critical role of sarcopenia in influencing cardiovascular disease risk among Chinese patients with T2DM, as predicted by the China-PAR model. Conclusion: This study highlights the importance of sarcopenia in T2DM patients, not only as an indicator of ASCVD risk, but possibly as an independent risk factor in this demographics.

Risk factors for cognitive impairment in middle-aged type 2 diabetic patients: a cross-sectional study.

OBJECTIVE: The aim of this study was to investigate risk factors for cognitive impairment (CI) and explore the relationship between obesity and cognition in hospitalised middle-aged patients with type 2 diabetes (T2DM). METHODS: Subjects were divided into normal cognitive function (NCF) (n=320) and CI (n=204) groups based on the results of the Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE). The risk factors for CI were determined by logistic regression analysis and generalised linear modelling. The associations between obesity parameters (body mass index (BMI) and waist circumference (WC)) and cognitive ability were studied with the use of linear regression analysis, piecewise regression modelling and interaction analysis. The receiver operating characteristic curve analysis was used to examine the diagnostic value of influencing factors for cc RESULTS: The prevalence of CI was 38.9% in hospitalised middle-aged T2DM patients (median age, 58 years). Age, WC, hypoglycaemic episode within past 3 months and cerebrovascular disease (CVD) were identified as independent risk factors for CI, while the independent protective factors were education, diabetic dietary pattern, overweight and obesity. BMI was a protective factor for the MoCA score within a certain range, whereas WC was a risk factor for the MMSE and MoCA scores. The area under the curve for the combination of BMI and WC was 0.754 (p<0.001). CONCLUSION: Age, education, diabetic dietary pattern, WC, overweight, obesity, hypoglycaemic episode in 3 months and CVD may be potential influencing factors for the occurrence of CI in hospitalised middle-aged population with T2DM. The combination of BMI and WC may represent a good predictor for early screening of CI in this population. Nevertheless, more relevant prospective studies are still needed.

Relationships Between Body Composition and Cognitive Impairment in Hospitalised Middle-Aged Type 2 Diabetic Patients.

Objective: The aim of this study was to elucidate the relationship between specific body composition and the risk of Cognitive Impairment (CI) in middle-aged Type 2 Diabetes Mellitus (T2DM) patients. Methods: This cross-sectional study included 504 hospitalized patients with T2DM from the Department of Endocrinology and Metabolism of the Tianjin Union Medical Center. Subjects were grouped by sex, and cognitive status was assessed using the Montreal Cognitive Assessment (MoCA). The relationship between body composition and cognitive ability was investigated with the use of linear regression analysis. The association between body composition and CI risk was determined by logistic regression analysis. Results: The prevalence of CI was 39.3% in middle-aged T2DM patients. After adjusting for age, education, marriage status, carotid atherosclerosis, cerebrovascular disease and hemoglobin, multiple linear regression analysis showed that lean mass index (LMI), body mass index (BMI) and appendicular skeletal muscle index (SMI) were significant predictors for the MoCA scores in men (p < 0.05). In addition, BMI (OR 0.913, 95% CI 0.840-0.992) and LMI (OR 0.820, 95% CI 0.682-0.916) were independent protective factors for CI in males. After adjusted for age, education, marriage status, dietary control of diabetes and cerebrovascular disease, visceral obesity (VO, OR 1.950, 95% CI 1.033-3.684) and abdominal obesity (AO, OR 2.537, 95% CI 1.191-5.403) were risk factors for CI in female patients. Conclusion: The results suggest that there may be different mechanisms underlying the relationship of body compositions and cognitive performance between middle-aged male and female patients with T2DM. In addition, our finding of potential determinants of cognitive impairment may facilitate the development of intervention programs for middle-aged type 2 diabetic patients. Nevertheless, more large prospective studies looking at cognition and changes in body composition over time are needed in the future to further support their association.

Comparison of lipid accumulation product and visceral adiposity index with traditional obesity indices in early-onset type 2 diabetes prediction: a cross-sectional study.

BACKGROUND: The purpose of the study was to compare the efficacy of two novel obesity indices, lipid accumulation product (LAP) and visceral adiposity index (VAI), with traditional obesity indices in predicting early-onset type 2 diabetes (T2DM). METHODS: In this cross-sectional study, a total of 744 participants, including 605 patients newly diagnosed with T2DM and 139 non-diabetic control subjects, were enrolled from a tertiary care hospital in Tianjin, China. Participants with T2DM were divided into two groups based on their age at diagnosis, namely early-onset T2DM (age less than 40 years, n = 154) and late-onset T2DM (age 40 years or older, n = 451). The predictive power of each obesity index was evaluated using receiver operating characteristic (ROC) curve analysis. Furthermore, binary logistic regression analysis was conducted to examine the independent relationship between LAP and VAI with early-onset T2DM risk. The relationship between novel obesity indices and the age of T2DM onset was also evaluated through correlation and multiple linear regression analysis. RESULTS: In males, LAP had the highest predictive power for early-onset T2DM with an area under the ROC curve (AUC) of 0.742 (95% CI 0.684-0.799, P < 0.001). In females, VAI had the highest AUC for early-onset T2DM with a value of 0.748 (95% CI 0.657-0.839, P < 0.001), which was superior to traditional indices. Patients in the 4th quartile of LAP and VAI had 2.257 (95% CI 1.116-4.563, P = 0.023) and 4.705 (95% CI 2.132-10.384, P < 0.001) times higher risk of T2DM before age 40, compared to those in the 1st quartile, respectively. A tenfold increase in LAP was associated with a decrease in T2DM onset age of 12.862 years in males (ß = -12.862, P < 0.001) and 6.507 years in females (ß = -6.507, P = 0.013). A similar decrease in T2DM onset age was observed for each tenfold increase in VAI in both male (ß = -15.222, P < 0.001) and female (ß = -12.511, P < 0.001) participants. CONCLUSIONS: In young Chinese individuals, LAP and VAI are recommended over traditional obesity indices for improved prediction of early-onset T2DM risk.

[Inhibitory effects of fluvastatin on activation of THP-1 cells induced by anti-beta2GPI/beta2GPI complex].

This study is to explore the interventional effects of fluvastatin on anti-beta2GPI/beta2GPI-induced activation in THP-1 mononuclear cells. In vitro, human mononuclear cells THP-1 were treated with fluvastatin, LPS and anti-beta2GPI/beta2GPI, then the TF expression on THP-1 cells was detected by real-time quantitative PCR (RT-qPCR) or TF activity was detected by kit. TNF-alpha mRNA and its protein expression were investigated by RT-PCR and ELISA kit. The expression of phospho-NF-kappaB p65 and inhibitory protein of NF-kappaB (IkappaB-alpha) were measured by Western blotting. The results suggested that the expression of TF and TNF-alpha on THP-1 cells was significantly up-regulated with treatment of anti-beta2GPI/beta2GPI complex (100 mg x L(-1)), compared with that of untreated cells (P < 0.05). Fluvastatin (50 mg x L(-1)) could decrease TF (mRNA and activity) expression and the level of TNF-alpha (mRNA and protein) in THP-1 cells with anti-beta2GPI/beta2GPI complex. The expression of TF and TNF-alpha was shown in a concentration-dependent manner. Moreover, anti-beta2GPI/beta2GPI complex could downregulate IkappaB-alpha levels and increase the levels of phospho-NF-kappaB p65. And these effects of anti-beta2GPI/beta2GPI complex could be blocked by fluvastatin. In conclusion, fluvastatin may interfere the expression and regulation of NF-kappaB signal transduction pathway, thereby inhibit the effects of anti-beta2GPI/beta2GPI on activation of THP-1 cells, by decreasing the expression of TF and TNF-alpha.

[The activation of TRIF-dependent signaling pathway in THP-1 cells induced by ß2 GPI/anti-ß2 GPI antibodies complex].

AIM: To observe whether the TIR-domain-containing adaptor inducing interferon-ß (TRIF) is activated in THP-1 cells treated with ß2 GPI/anti-ß2 GPI complex and investigate the roles of TRIF-dependent signaling pathway of Toll-like receptor 4 (TLR4) in antiphospholipid syndrome (APS). METHODS: The total RNA was extracted and the protein lysates were collected from THP-1 cells stimulated with ß2 GPI/anti-ß2 GPI complex. And the level of TRIF mRNA in THP-1 cells was detected by Real-time PCR (RT-PCR), TRIF protein expression was investigated by western blotting, respectively. Furthermore, whether TLR4 inhibitor, TAK-242, could interrupt the expression of TRIF as well as some inflammatory cytokines such as IL-6, IL-8 and TNF-α in THP-1 cells stimulated with ß2 GPI/anti-ß2 GPI complex was also investigated. RESULTS: Both mRNA and protein levels of TRIF could be significantly increased in THP-1 cells with treatment of ß2 GPI/anti-ß2 GPI complex (100 mg/L). The expression of TRIF was shown in a manner of time-dependence, with the maximal levels at 1 hour (mRNA) and 2 hour (protein) stimulation respectively. The ß2 GPI/anti-ß2 GPI complex-induced TRIF and inflammatory cytokines including IL-6, IL-8 and TNF-α expression in THP-1 cells could be inhibited by TAK-242 (5 µmol/L). CONCLUSION: TRIF-dependent signaling pathway of Toll-like receptor 4 is involved in the activation of THP-1 cells induced by ß2 GPI/anti-ß2GPI complex, suggesting that TRIF may play an important role in the pathogenesis of antiphospholipid syndrome.