Metabolic dysfunction-associated fatty liver disease (MAFLD) is an increasingly common liver disease worldwide. MAFLD is diagnosed based on the presence of steatosis on images, histological findings, or serum marker levels as well as the presence of at least one of the three metabolic features: overweight/obesity, type 2 diabetes mellitus, and metabolic risk factors. MAFLD is not only a liver disease but also a factor contributing to or related to cardiovascular diseases (CVD), which is the major etiology responsible for morbidity and mortality in patients with MAFLD. Hence, understanding the association between MAFLD and CVD, surveillance and risk stratification of MAFLD in patients with CVD, and assessment of the current status of MAFLD management are urgent requirements for both hepatologists and cardiologists. This Taiwan position statement reviews the literature and provides suggestions regarding the epidemiology, etiology, risk factors, risk stratification, nonpharmacological interventions, and potential drug treatments of MAFLD, focusing on its association with CVD.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Background/Aims: Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients. Methods: We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development. Results: Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients. Conclusions Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.

The quality of moxa is a key factor affecting the efficacy of moxibustion. Traditional moxa grades are evaluated by the leaf-to-moxa ratio, but there is a lack of support from scientific data. Scanning electron microscopy(SEM), Image Pro Plus, Van Soest method, and stimultaneous thermal analysis(TGA/DSC) were used to characterize the scientific implication of the combustion differences between moxa with different leaf-to-moxa ratios(processed by crusher). The results showed that the median lengths from non-secretory trichomes(NSTs) of natural NSTs and moxa with leaf-to-moxa ratios of 3∶1, 5∶1, 10∶1, and 15∶1 were 542.46, 303.24, 291.18, 220.69, and 170.61 μm, respectively. The cellulose content of moxa increased significantly(P<0.05) with the increase in leaf-to-moxa ratio and the combustion parameters(T_i, t_i, D_i, C,-R_p,-R_v, S, D_b, and J_(total)) all showed an increasing trend. The correlation results showed that the burning properties of moxa(T_i,-R_v, t_i, and J_2) were significantly and positively correlated with cellulose content. NSTs with a length of 1-200 μm were significantly and positively correlated with J_2. NSTs with a length of 200-600 μm were significantly and positively correlated with J_1, T_(peak2), T_(peak1), and-R_v, and negatively correlated with J_(total), T_b, and t_b. As the leaf-to-moxa ratio increases, the NSTs in the moxa become shorter and the cellulose content increases, which is more conducive to ignition performance, heat release, and a milder, longer-lasting burn. The "NSTs-cellulose-TGA/DSC" quantitative evaluation method scientifically reveals the scientific connotation of the combustion of moxa with different leaf-to-moxa ratios and provides a scientific basis for the establishment of quality evaluation methods for moxa with different leaf-to-moxa ratios.
Trichomes ; Moxibustion ; Hot Temperature ; Plant Leaves

Humans ; Female ; Deep Learning ; Ovarian Neoplasms/genetics* ; Carcinoma, Ovarian Epithelial/genetics* ; Neural Networks, Computer ; RNA

Platelets are reprogrammed by cancer via a process called education, which favors cancer development. The transcriptional profile of tumor-educated platelets (TEPs) is skewed and therefore practicable for cancer detection. This intercontinental, hospital-based, diagnostic study included 761 treatment-naïve inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers (China, n = 3; Netherlands, n = 5; Poland, n = 1) between September 2016 and May 2019. The main outcomes were the performance of TEPs and their combination with CA125 in two Chinese (VC1 and VC2) and the European (VC3) validation cohorts collectively and independently. Exploratory outcome was the value of TEPs in public pan-cancer platelet transcriptome datasets. The AUCs for TEPs in the combined validation cohort, VC1, VC2, and VC3 were 0.918 (95% CI 0.889-0.948), 0.923 (0.855-0.990), 0.918 (0.872-0.963), and 0.887 (0.813-0.960), respectively. Combination of TEPs and CA125 demonstrated an AUC of 0.922 (0.889-0.955) in the combined validation cohort; 0.955 (0.912-0.997) in VC1; 0.939 (0.901-0.977) in VC2; 0.917 (0.824-1.000) in VC3. For subgroup analysis, TEPs exhibited an AUC of 0.858, 0.859, and 0.920 to detect early-stage, borderline, non-epithelial diseases and 0.899 to discriminate ovarian cancer from endometriosis. TEPs had robustness, compatibility, and universality for preoperative diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities, heterogeneous histological subtypes, and early-stage ovarian cancer. However, these observations warrant prospective validations in a larger population before clinical utilities.
Humans ; Female ; Blood Platelets/pathology* ; Biomarkers, Tumor/genetics* ; Ovarian Neoplasms/pathology* ; China

Parkinson's disease (PD) is the most common neurodegenerative movement disease. It is featured by abnormal alpha-synuclein (α-syn) aggregation in dopaminergic neurons in the substantia nigra. Macroautophagy (autophagy) is an evolutionarily conserved cellular process for degradation of cellular contents, including protein aggregates, to maintain cellular homeostasis. Corynoxine B (Cory B), a natural alkaloid isolated from Uncaria rhynchophylla (Miq.) Jacks., has been reported to promote the clearance of α-syn in cell models by inducing autophagy. However, the molecular mechanism by which Cory B induces autophagy is not known, and the α-syn-lowering activity of Cory B has not been verified in animal models. Here, we report that Cory B enhanced the activity of Beclin 1/VPS34 complex and increased autophagy by promoting the interaction between Beclin 1 and HMGB1/2. Depletion of HMGB1/2 impaired Cory B-induced autophagy. We showed for the first time that, similar to HMGB1, HMGB2 is also required for autophagy and depletion of HMGB2 decreased autophagy levels and phosphatidylinositol 3-kinase III activity both under basal and stimulated conditions. By applying cellular thermal shift assay, surface plasmon resonance, and molecular docking, we confirmed that Cory B directly binds to HMGB1/2 near the C106 site. Furthermore, in vivo studies with a wild-type α-syn transgenic drosophila model of PD and an A53T α-syn transgenic mouse model of PD, Cory B enhanced autophagy, promoted α-syn clearance and improved behavioral abnormalities. Taken together, the results of this study reveal that Cory B enhances phosphatidylinositol 3-kinase III activity/autophagy by binding to HMGB1/2 and that this enhancement is neuroprotective against PD.

Objective: To compare the impact of bicuspid aortic valve (BAV) or tricuspid aortic valve (TAV) on hemodynamics and left ventricular reverse remodeling after transcatheter aortic valve replacement (TAVR). Methods: We retrospectively analyzed the clinical data of patients who underwent TAVR in our hospital from January 2019 to March 2021. Patients were divided into BAV group and TAV group according to aortic contrast-enhanced CT. Each patient was followed up by N-terminal pro B-type natriuretic peptide (NT-proBNP) and echocardiography at four time points, namely before TAVR, 24 hours, 1 month and 6 months after TAVR. Echocardiographic data, including mean pressure gradient (MPG), aortic valve area (AVA), left ventricular ejection fraction (LVEF), left ventricle mass (LVM) and LV mass index (LVMi) were evaluated. Results: A total of 41 patients were included. The age was (75.0±8.6) years, and male patients accounted for 53.7%. There were 19 BAV patients and 22 TAV patients in this cohort. All patients undergoing TAVR using a self-expandable prosthesis Venus-A valve. MPG was (54.16±21.22) mmHg(1 mmHg=0.133 kPa) before TAVR, (21.11±9.04) mmHg at 24 hours after TAVR, (18.84±7.37) mmHg at 1 month after TAVR, (17.68±6.04) mmHg at 6 months after TAVR in BAV group. LVEF was (50.42±13.30)% before TAVR, (53.84±10.59)% at 24 hours after TAVR, (55.68±8.71)% at 1 month after TAVR and (57.42±7.78)% at 6 months after TAVR in BAV group. MPG and LVEF substantially improved at each time point after operation, and the difference was statistically significant (all P<0.05) in BAV group. MPG in TAV group improved at each time point after operation, and the difference was statistically significant (all P<0.05). LVMi was (164.13±49.53), (156.37±39.11), (146.65±38.84) and (134.13±39.83) g/m² at the 4 time points and the value was significantly reduced at 1 and 6 months post TAVR compared to preoperative level(both P<0.05). LVEF in the TAV group remained unchanged at 24 hours after operation, but it was improved at 1 month and 6 months after operation, and the difference was statistically significant (all P<0.05). LVMi in TAV group substantially improved at each time point after operation, and the difference was statistically significant (all P<0.05). NT-proBNP in both two groups improved after operation, at 1 month and 6 months after operation, and the difference was statistically significant (all P<0.05). MPG in TAV group improved better than in BAV group during the postoperative follow-up (24 hours after TAVR: (11.68±5.09) mmHg vs. (21.11±9.04) mmHg, P<0.001, 1 month after TAVR: (10.82±3.71) mmHg vs. (18.84±7.37) mmHg, P<0.001, 6 months after TAVR: (12.36±4.42) mmHg vs. (17.68±6.04) mmHg, P=0.003). There was no significant difference in NT-proBNP between BAV group and TAV group at each time point after operation (all P>0.05). There was no significant difference in paravalvular regurgitation and second prosthesis implantation between the two groups (all P>0.05). Conclusions: AS patients with BAV or TAV experience hemodynamic improvement and obvious left ventricular reverse remodeling after TAVR, and the therapeutic effects of TAVR are similar between BAV and TAV AS patients in the short-term post TAVR.
Humans ; Male ; Aged ; Aged, 80 and over ; Transcatheter Aortic Valve Replacement ; Aortic Valve/surgery* ; Bicuspid Aortic Valve Disease/surgery* ; Aortic Valve Stenosis/surgery* ; Retrospective Studies ; Stroke Volume ; Heart Valve Diseases ; Ventricular Function, Left ; Treatment Outcome ; Ventricular Remodeling ; Hemodynamics

This study aimed to assess the role of prostate-specific antigen density (PSAD) and negative multiparametric magnetic resonance imaging (mpMRI) in predicting prostate cancer for biopsy-naïve men based on a large cohort of the Chinese population. From a prostate biopsy database between March 2017 and July 2021, we retrospectively identified 240 biopsy-naïve patients with negative prebiopsy mpMRI (Prostate Imaging Reporting and Data System version 2 [PI-RADS v2] score <3). Logistic regression analysis was performed to select the potential predictors for clinically significant prostate cancer (csPCa). Receiver operating characteristic (ROC) curve analysis and area under the ROC curve (AUC) were performed to assess the diagnostic accuracy. The negative predictive values of mpMRI in excluding any cancer and csPCa were 83.8% (201/240) and 90.8% (218/240), respectively. ROC curve analysis indicated that PSAD was the most promising predictor, with an AUC value of 0.786 (95% confidence interval [CI]: 0.699-0.874), and multiparametric logistic regression analysis confirmed that higher PSAD remained a significant marker for predicting csPCa (odds ratio [OR]: 10.99, 95% CI: 2.75-44.02, P < 0.001). Combining negative mpMRI and PSAD below 0.20 ng ml^-2 obviously increased the predictive value in excluding PCa (91.0%, 101/111) or csPCa (100.0%, 111/111). If a PSAD below 0.20 ng ml^-2 was set as the criterion to omit biopsy, nearly 46.3% of patients (463 per 1000) with negative mpMRI could safely avoid unnecessary biopsy, with approximately 4.2% of patients (42 per 1000) at risk of missed diagnosis of PCa and no patients with csPCa missed. A PI-RADS v2 score <3 and a PSAD <0.20 ng ml^-2 could be potential criteria for the Chinese population to omit prompt biopsy safely.
Male ; Humans ; Prostatic Neoplasms/pathology* ; Prostate-Specific Antigen ; Multiparametric Magnetic Resonance Imaging ; Magnetic Resonance Imaging/methods* ; Retrospective Studies ; Biopsy ; Image-Guided Biopsy/methods*

OBJECTIVE: To evaluate pharmacokinetics (PK), efficacy, and safety of atezolizumab (anti-PD-L1) in high interest cancers in China, including esophageal cancer (EC), gastric cancer (GC), hepatocellular carcinoma (HCC), nasopharyngeal cancer (NPC), and non-small cell lung can-cer (NSCLC). METHODS: This phase I, open-label study was conducted at 6 Chinese sites from August 4, 2016 to April 15, 2019. The patients were ≥18 years old with a histologically documented incurable or metastatic solid tumor that was advanced or recurrent and had progressed since the last anti-tumor the-rapy. The PK phase characterized PK and safety of atezolizumab following multiple-dose administration when atezolizumab was administered as a single agent. The extension phase studied safety and efficacy of atezolizumab, as monotherapy (EC, GC, HCC, NPC) and with chemotherapy (NSCLC). RESULTS: This study enrolled 120 patients (PK phase: n=20; extension phase: n=20/cohort). Fourty-two patients (42.0%) were PD-L1 positive in atezolizumab monotherapy group (100 patients), of the 9 patients (9.0%) with microsatellite instability-high (MSI-H) tumors. Atezolizumab clearance was 0.219 L/d, and steady state was reached after 6 to 9 weeks (2-3 cycles) of repeated dosing. Objective response rates (ORRs) in EC, GC, HCC, NPC, and NSCLC were 10.0%, 15.0%, 10.0%, 5.0%, and 40.0%, respectively. In the patients with PD-L1 positive tumors, ORR was 11.9% with atezolizumab and 46.2% with atezolizumab plus gemcitabine and cisplatin. Two GC patients achieved durable response after pseudo-progression. The most common treatment-related adverse events in the atezolizumab monotherapy group were fatigue, anemia, fever, and decreased white blood cell count. The most common treatment-related adverse events in the combination group were anemia, decreased white blood cell count, and decreased appetite. No new safety signals were identified. CONCLUSION Atezolizumab's PK, efficacy, and safety were similar in Chinese patients vs. global patients in previous studies.
Adolescent ; Antibodies, Monoclonal, Humanized ; Antineoplastic Agents/therapeutic use* ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Carcinoma, Hepatocellular/drug therapy* ; Cisplatin/therapeutic use* ; Humans ; Liver Neoplasms/drug therapy* ; Lung Neoplasms/pathology* ; Nasopharyngeal Neoplasms/drug therapy*