Objectives Adiponectin is closely related to glucose metabolism and traditional diabetes risk factors (obesity, hypertension and dyslipidaemia). We aimed to explore the association between adiponectin levels and newly diagnosed type 2 diabetes mellitus (T2DM) and pre-diabetes in subgroups classified according to T2DM risk factors. Setting Sun Yat-sen Memorial Hospital of Sun Yat-sen University. Participants 3680 individuals (1753 men and 1927 women) aged 18–70 years from Guangzhou and Dongguan, China, were enrolled from December 2018 to October 2019. Primary and secondary outcome measures T2DM was defined as fasting plasma glucose (FPG)≥7.0 mmol/L or HbA1c≥6.5%, and pre-diabetes was defined as 6.1 mmol/L≤FPG<7.0 mmol/L or 5.7≤HbA1c<6.5%. Results With the increasing number of T2DM risk factors, the proportion of the population with high-quartile adiponectin levels gradually decreased (p<0.001). A low level of adiponectin was significantly associated with diabetes and pre-diabetes in a population with ≥1 T2DM risk factor, whereas its association was not consistently significant in the population with all three T2DM risk factors. For instance, participants were more likely to have diabetes or prediabetes with low levels of adiponectin when they had ≥ one T2DM risk factor (quartile 2 vs. 1: OR 0.71 [95%CI: 0.56–0.89]; P=0.003; quartile 3 vs. 1: OR 0.57 [95%CIs: 0.44–0.72]; P<0.001; and quartile 4 vs. 1: OR 0.52 [95%CIs: 0.40–0.67]; P<0.001). Conclusion Adiponectin was negatively associated with diabetes and pre-diabetes in a population with few T2DM risk factors, while their relationship gradually attenuated with the accumulation of T2DM risk factors, especially in a population with coexisting diseases such as obesity, hypertension and dyslipidaemia.

This study aimed to explore the association between the risk of newly diagnosed type 2 diabetes and galectin-3 and adiponectin and to investigate whether their joint action shows a favorable diabetes assessment performance. We conducted a community-based study in 135 newly diagnosed patients with type 2 diabetes and 270 age- and sex-matched nondiabetic patients. Odds ratios and 95% confidence intervals were determined using logistic regression analysis. Receiver operating characteristic curve, decision curve analysis and calibration plot were used to explore their efficacy and clinical utility for models. High quartiles of galectin-3/adiponectin (quartile 4 vs 1: OR 2.43 [95% CIs: 1.21-5.00]) showed the strongest correlation with an increased risk of type 2 diabetes in the total population, which was consistent in the older population (age≥50 years old) in adjustment models. The combination + lipids + galectin-3/adiponectin model (AUC = 0.72 [95% CIs: 0.66-0.77]) displayed better diabetes assessment performance than the other two models. High galectin-3 and low adiponectin levels were associated with the high risk of diabetes, and their joint action was a superior promising factor for evaluating diabetes risk. The diabetes discriminative strength of galectin-3/adiponectin was better in the older population than the younger.

This cross-sectional study aimed to investigate the association between non-alcoholic fatty liver disease (NAFLD) and atherosclerotic cardiovascular disease (ASCVD), a global public health concern. A total of 9044 out of 10,104 adults from Guangzhou, China, were included in the analysis. We utilized the fatty liver index (FLI), a noninvasive indicator of NAFLD, and the pooled cohort equations (PCE) based on the 2013 ACC/AHA Guideline, the China-PAR model, and the Framingham Risk Score to assess the 10-year ASCVD risk. The results demonstrated a significant association between FLI and 10-year ASCVD risk (p < 0.001). Adjusted for age, individuals with high FLI (≥60) had an odds ratio of 3.91 (95% CI 2.52–6.08) compared to those with low FLI (<30). These findings persisted after adjusting for metabolic indicators. Notably, this association was consistently observed across all three risk prediction models: the PCE model, the China-PAR model, and the Framingham Risk Score. In conclusion, our study provides evidence supporting FLI as a reliable indicator of increased 10-year ASCVD risk in Chinese NAFLD patients. FLI serves as a valuable marker for early detection of ASCVD, highlighting its potential in clinical practice for risk assessment and prevention strategies.

Objective. Chronic kidney disease (CKD) has become a major global health issue, and abnormalities of glucose metabolism are a risk factor responsible for development of CKD. We aimed to investigate associations between glucose metabolism indices and CKD in a Chinese population and determine which index is superior for predicting incident CKD. Methods. We performed a community-based population on 5232 subjects aged 40years without baseline CKD. CKD was defined as an estimated glomerular filtration rate (eGFR)<60mL/min/1.73m² or urinary albumin-to-creatinine ratio (UACR) 30mg/g. We examined the associations of glucose metabolism indices, including fasting plasma glucose (FPG), 2-hour (2h) oral glucose tolerance test (OGTT), hemoglobin A1c (HbA1c), fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β and the development of CKD. Results. With an average follow-up of 3.6years, 6.4 of the subjects developed CKD. Pearsons correlation analysis revealed that FPG, HbA1c, fasting insulin, and HOMA-IR were all significantly correlated with UACR and eGFR. The association persisted in multivariate linear regression analysis adjusted for age and sex. Compared with other glucose indices, HOMA-IR exhibited the strongest associations with CKD in COX multivariate regression analysis (HR=1.17, 95 CI: 1.041.31). Conclusion. HOMA-IR is superior to other routine indices of glucose metabolism for predicting the development of CKD in middle-aged Chinese persons. Screening with HOMA-IR may help prevent the development of CKD in the general population.

Background and objectives Serum free fatty acids (FFA) are associated with various types of cancer. However, the prognostic value of preoperative serum FFA levels and breast cancer (BC) remains unclear. This study aimed to elucidate the specific relationship between FFA levels and BC outcomes. Methods A retrospective review was conducted on 4133 patients with BC admitted to Sun Yat-sen Memorial Hospital from January 2015 to October 2021. Preoperative serum FFA levels were detected by the enzymatic endpoint method. The relationship between serum FFA levels and clinical characteristics was analyzed based on FFA interquartile range. Restricted cubic splines and multivariate Cox regression analyses were used to assess the relationship between preoperative serum FFA levels and overall survival (OS) in patients with BC. The hazard ratios (HRs) and 95% confidence intervals (95% CIs) were calculated. Results According to the FFA interquartile range, FFA levels were significantly correlated with OS (years) (p < 0.001). Restricted cubic spline analysis might reveal a U-shaped relationship between preoperative serum FFA levels and OS, after adjusting for other variables. According to the cutoff points for FFAs, multivariate Cox regression analyses showed that patients with low FFA levels (≤ 250 µmol/L) had higher rates of all-cause mortality and cancer-specific mortality than those with high FFA levels (530–700 µmol/L) in the total population and patients with a BMI of 18.5–24.0 kg/m². A trend was observed indicating that elevated FFA levels (≥ 715 µmol/L) were associated with worse prognosis; however, this association failed to reach statistical significance. Conclusions There might be a nonlinear U-shaped relationship between preoperative serum FFA levels and survival in breast cancer patients, with lower FFA levels associated with worse OS. The effect of elevated FFA levels on prognosis requires further investigation.