Zhou Liu

Heart failure creates a leading public health burden worldwide and cardiac fibrosis is a hallmark of pathological cardiac remodeling which was found in HF patients. In this study, we detected the expression of 9 candidate miRNAs in the plasma exosome samples from 31 HF patients, and found the level of miR-21, miR-425 and miR-744 was altered. The downregulation of miR-425 and miR-744 was also found in angiotensin II treated cardiac fibroblasts. Through functional study, we identified that the reduction of miR-425 and miR-744 relates to overexpression of collagen 1 and α-SMA, which result in fibrogenesis of cardiac fibroblasts. Conversely, overexpression of miR-425 or miR-744 in cultured cardiac fibroblasts significantly abrogates angiotensin induced collagen formation and fibrogenesis. Finally, we confirmed that TGFβ1 is a direct target of miR-425 and miR-744 by dual luciferase assay and immunoblotting. Our data demonstrate that miR-425 and miR-744 function as negative regulators of cardiac fibrosis by suppression TGFβ1 expression, and miR-425 and miR-744 level in the plasma exosomes has the potential to be a biomarker to predict cardiac fibrosis and heart failure.

BACKGROUND: The study was conducted to evaluate the performance of a state-of-the-art commercial deep learning-based computer-aided diagnosis (DL-CAD) system for detecting and characterizing pulmonary nodules. METHODS: Pulmonary nodules in 346 healthy subjects (male: female = 221:125, mean age 51 years) from a lung cancer screening program conducted from March to November 2017 were screened using a DL-CAD system and double reading independently, and their performance in nodule detection and characterization were evaluated. An expert panel combined the results of the DL-CAD system and double reading as the reference standard. RESULTS: The DL-CAD system showed a higher detection rate than double reading, regardless of nodule size (86.2% vs. 79.2%; P < 0.001): nodules ≥ 5 mm (96.5% vs. 88.0%; P = 0.008); nodules < 5 mm (84.3% vs. 77.5%; P < 0.001). However, the false positive rate (per computed tomography scan) of the DL-CAD system (1.53, 529/346) was considerably higher than that of double reading (0.13, 44/346; P < 0.001). Regarding nodule characterization, the sensitivity and specificity of the DL-CAD system for distinguishing solid nodules > 5 mm (90.3% and 100.0%, respectively) and ground-glass nodules (100.0% and 96.1%, respectively) were close to that of double reading, but dropped to 55.5% and 93%, respectively, when discriminating part solid nodules. CONCLUSION: Our DL-CAD system detected significantly more nodules than double reading. In the future, false positive findings should be further reduced and characterization accuracy improved.

OBJECTIVE: We aimed to examine the association of triglyceride-glucose index (TyG) with risk for cardiovascular disease (CVD) among postmenopausal women. METHODS: A total of 7741 participants met the inclusion criteria, and were included in the analysis. The TyG index was calculated as ln (triglyceride [mg/dL] × fasting blood glucose [mg/dL]/2). The participants were classified into four groups by the quartiles of TyG index, and the Q1 group was used as the reference group. The cumulative incidence of CVD for the groups were compared using the Kaplan-Meier curves. The association between the TyG index and risk of CVD among postmenopausal women was assessed by the Cox proportional hazards models (hazard ratio [HR], 95% confidence intervals [CI]). RESULTS: During a median follow-up of 12 years, a total of 383 (4.95%) participants developed incident CVD. After adjusting for potential confounding factors, a high baseline TyG index (Q4 group) was associated with higher future risk of CVD, the HR (95% CI) of CVD risk was 1.70 (1.21-2.38) in Q4 group compared with the Q1 group. Subgroup analyses showed the Q4 group was significantly associated with the risk of CVD, regardless of age at menopause (younger than 50 years; 50 years and older) and obesity status. CONCLUSIONS: Higher TyG index at baseline as a marker of insulin resistance (IR), is associated with higher risk of future CVD among postmenopausal women. The TyG index may serve as a simple and easy marker for early identification of high-risk individuals in the postmenopausal women.