Inhibition of visceral adipose tissue-derived pathogenic signals by activation of adenosine A2AR improves hepatic and cardiac dysfunction of NASH mice.

A2AR-disrupted mice is characterized by severe systemic and visceral adipose tissue (VAT) inflammation. Increasing adenosine cyclase (AC), cAMP, and protein kinase A (PKA) formation through A2AR activation suppress systemic/VAT inflammation in obese mice. This study explores the effects of 4 wk A2AR agonist PSB0777 treatment on the VAT-driven pathogenic signals in hepatic and cardiac dysfunction of nonalcoholic steatohepatitis (NASH) obese mice. Among NASH mice with cardiac dysfunction, simultaneous decrease in the A2AR, AC, cAMP, and PKA levels were observed in VAT, liver, and heart. PSB0777 treatment significantly restores AC, cAMP, PKA, and hormone-sensitive lipase (HSL) levels, decreased SREBP-1/FASN, MCP-1, and CD68 levels, reduces infiltrated CD11b+ F4/80+ cells and adipogenesis in VAT of NASH + PSB0777 mice. The changes in VAT were accompanied by the suppression of hepatic and cardiac lipogenic/inflammatory/injury/apoptotic/fibrotic markers, the normalization of cardiac contractile [sarco/endoplasmic reticulum Ca2+ ATPase (SERCA2)] marker, and cardiac dysfunction. The in vitro approach revealed that conditioned media (CM) of VAT of NASH mice (CMnash) trigger palmitic acid (PA)-like lipotoxic (lipogenic/inflammatory/apoptotic/fibrotic) effects in AML-12 and H9c2 cell systems. Significantly, A2AR agonist pretreatment-related normalization of A2AR-AC-cAMP-PKA levels was associated with the attenuation of CMnash-related upregulation of lipotoxic markers and the normalization of lipolytic (AML-12 cells) or contractile (H9C2 cells) marker/contraction. The in vivo and in vitro experiments revealed that A2AR agonists are potential agent to inhibit the effects of VAT inflammation-driven pathogenic signals on the hepatic and cardiac lipogenesis, inflammation, injury, apoptosis, fibrosis, hypocontractility, and subsequently improve hepatic and cardiac dysfunction in NASH mice.NEW & NOTEWORTHY Protective role of adenosine A2AR receptor (A2AR) and AC-cAMP-PKA signaling against nonalcoholic fatty liver disease (NAFLD)/nonalcoholic steatohepatitis (NASH) possibly via its actions on adipocytes is well known in the past decade. Thus, this study evaluates pharmacological activities of A2AR agonist PSB0777, which has already demonstrated to treat NASH. In this study, the inhibition of visceral adipose tissue-derived pathogenic signals by activation of adenosine A2AR with A2AR agonist PSB0777 improves the hepatic and cardiac dysfunction of high-fat diet (HFD)-induced NASH mice.

Mac-2-Binding Protein Glycosylation Isomer to Albumin Ratio Predicts Bacterial Infections in Cirrhotic Patients.

INTRODUCTION: Mac-2-binding protein glycosylation isomer (M2BPGi) is a novel biomarker for liver fibrosis, but little is known about its role in cirrhosis-associated clinical outcomes. This study aimed to investigate the predictive role of M2BPGi in cirrhosis-associated complications. METHODS: One hundred and forty-nine cirrhotic patients were retrospectively enrolled. Patients were followed up for 1 year, and cirrhosis-associated clinical events were recorded. Receiver operating characteristic curve (ROC) analysis was used to establish the values of the predictive models for cirrhotic outcomes, and Cox proportional hazards regression models were used to identify predictors of clinical outcomes. RESULTS: Sixty (40.3%) patients experienced cirrhosis-associated clinical events and had higher M2BPGi levels compared to those without events (8.7 vs. 5.1 cutoff index, p < 0.001). The most common cirrhosis-associated complications were bacterial infections (24.2%). On ROC analysis, M2BPGi to albumin ratio (M2BPGi/albumin) had comparable discriminant abilities for all cirrhosis-associated events (area under the ROC curve [AUC] = 0.74) compared with M2BPGi, Child-Pugh, model for end-stage liver disease, albumin-bilirubin scores, and neutrophil-to-lymphocyte ratio and was superior to M2BPGi alone for all bacterial infectious events (AUC = 0.80). Cox regression analysis revealed that the M2BPGi/albumin, but not M2BPGi alone, independently predicted all cirrhosis-associated events (hazard ratio [HR] = 1.34, p = 0.038) and all bacterial infectious events (HR = 1.51, p = 0.011) within 1 year. However, M2BPGi/albumin did not predict other cirrhotic complications and transplant-free survival. DISCUSSION/CONCLUSION: M2BPGi/albumin might serve as a potential prognostic indicator for patients with cirrhosis, particularly for predicting bacterial infections.

Benefits of Hepatitis C Viral Eradication: A Real-World Nationwide Cohort Study in Taiwan.

BACKGROUND: Chronic hepatitis C (CHC) increases the risk of liver cirrhosis (LC) and hepatocellular carcinoma (HCC). This nationwide cohort study assessed the effectiveness of viral eradication of CHC. METHODS: The Taiwanese chronic hepatitis C cohort and Taiwan hepatitis C virus (HCV) registry are nationwide HCV registry cohorts incorporating data from 23 and 53 hospitals in Taiwan, respectively. This study included 27,577 individuals from these cohorts that were given a diagnosis of CHC and with data linked to the Taiwan National Health Insurance Research Database. Patients received either pegylated interferon and ribavirin or direct-acting antiviral agent therapy for > 4 weeks for new-onset LC and liver-related events. RESULTS: Among the 27,577 analyzed patients, 25,461 (92.3%) achieved sustained virologic response (SVR). The mean follow-up duration was 51.2 ± 48.4 months, totaling 118,567 person-years. In the multivariable Cox proportional hazard analysis, the hazard ratio (HR) for incident HCC was 1.39 (95% confidence interval [CI]: 1.00-1.95, p = 0.052) among noncirrhotic patients without SVR compared with those with SVR and 1.82 (95% CI 1.34-2.48) among cirrhotic patients without SVR. The HR for liver-related events, including HCC and decompensated LC, was 1.70 (95% CI 1.30-2.24) among cirrhotic patients without SVR. Patients with SVR had a lower 10-year cumulative incidence of new-onset HCC than those without SVR did (21.7 vs. 38.7% in patients with LC, p < 0.001; 6.0 vs. 18.4% in patients without LC, p < 0.001). CONCLUSION: HCV eradication reduced the incidence of HCC in patients with and without LC and reduced the incidence of liver-related events in patients with LC.

Prevalence and risk factors for impaired renal function among Asian patients with nonalcoholic fatty liver disease.

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is associated with impaired renal function, and both diseases often occur alongside other metabolic disorders. However, the prevalence and risk factors for impaired renal function in patients with NAFLD remain unclear. The objective of this study was to identify the prevalence and risk factors for renal impairment in NAFLD patients. METHODS: All adults aged 18-70 years with ultrasound-diagnosed NAFLD and transient elastography examination from eight Asian centers were enrolled in this prospective study. Liver fibrosis and cirrhosis were assessed by FibroScan-aspartate aminotransferase (FAST), Agile 3+ and Agile 4 scores. Impaired renal function and chronic kidney disease (CKD) were defined by an estimated glomerular filtration rate (eGFR) with value of < 90 mL/min/1.73 m2 and < 60 mL/min/1.73 m2, respectively, as estimated by the CKD-Epidemiology Collaboration (CKD-EPI) equation. RESULTS: Among 529 included NAFLD patients, the prevalence rates of impaired renal function and CKD were 37.4% and 4.9%, respectively. In multivariate analysis, a moderate-high risk of advanced liver fibrosis and cirrhosis according to Agile 3+ and Agile 4 scores were independent risk factors for CKD (P< 0.05). Furthermore, increased fasting plasma glucose (FPG) and blood pressure were significantly associated with impaired renal function after controlling for the other components of metabolic syndrome (P< 0.05). Compared with patients with normoglycemia, those with prediabetes [FPG ≥ 5.6 mmol/L or hemoglobin A1c (HbA1c) ≥ 5.7%] were more likely to have impaired renal function (P< 0.05). CONCLUSIONS: Agile 3+ and Agile 4 are reliable for identifying NAFLD patients with high risk of CKD. Early glycemic control in the prediabetic stage might have a potential renoprotective role in these patients.

Impact of HCV eradication by directly acting antivirals on glycemic indices in chronic hepatitis C patients -a nationwide Taiwan HCV registry.

BACKGROUND/AIMS: Hepatitis C virus (HCV) eradication using antiviral agents augments the metabolic profile. Changes in glycated hemoglobin (HbA1c) levels in chronic hepatitis C patients who receive glecaprevir/pibrentasvir (GLE/PIB) remain elusive. METHODS: Data from 2417 patients treated with GLE/PIB from the Taiwan HCV Registry were analyzed, and pretreatment HbA1c levels were compared with 3-months after the-end-of treatment levels. A sustained virological response (SVR) was defined as undetectable HCV RNA at 12 weeks after the end of treatment. A significant change in HbA1c level was defined as the 75th percentile of the change in the HbA1c level before and after treatment (decrement >0.2%). RESULTS: Serum HbA1c levels decreased significantly (6.0 vs 5.9%, P < 0.001). Post-treatment HbA1c levels decreased in all subgroups, except in non-SVR patients (5.7 vs 5.7%, P = 0.79). Compared to patients without significant HbA1c improvement (decrement >0.2%), those with HbA1c improvement were older (60.2 vs 58.6 years, P < 0.001), had higher serum creatinine levels (1.9 vs 1.6 mg/dL, P < 0.001), triglycerides (129.8 vs 106.2 mg/dL, P < 0.001), fasting glucose (135.8 vs 104.0 mg/dL, P < 0.001), and pretreatment HbA1c (7.1 vs 5.7%, P < 0.001) and had a higher proportion of male sex (57.9% vs 50.9%, P = 0.003), diabetes (84.3 vs 16.8%, P < 0.001), more advanced stages of chronic kidney disease (CKD) (15.7 vs 11.1 %, P < 0.001), anti-diabetic medication use (47.3 vs 16.4%, P < 0.001) and fatty liver (49.6 vs 38.3 %, P < 0.001). Multivariate analysis revealed that the factors associated with significant HbA1c improvement were age (odds ratio [OR]/95% confidence intervals [CI]: 1.01/1.00-1.02, P = 0.01), HbA1c level (OR/CI: 2.83/2.48-3.24, P < 0.001) and advanced CKD stages (OR/CI: 1.16/1.05-1.28, P = 0.004). If the HbA1c variable was not considered, the factors associated with significant HbA1c improvement included alanine aminotransferase level (OR/CI, 1.002/1.000-1.004, P = 0.01), fasting glucose level (OR/CI: 1.010/1.006-1.013, P < 0.001), and diabetes (OR/CI: 3.35/2.52-4.45, P < 0.001). CONCLUSIONS: The HbA1c levels improved shortly after HCV eradication using GLE/PIB. The improvement in glycemic control can be generalized to all subpopulations, particularly in patients with a higher baseline HbA1c level or diabetes.

Explainable Learning-Based Timeout Optimization for Accurate and Efficient Elephant Flow Prediction in SDNs.

Accurately and efficiently predicting elephant flows (elephants) is crucial for optimizing network performance and resource utilization. Current prediction approaches for software-defined networks (SDNs) typically rely on complete traffic and statistics moving from switches to controllers. This leads to an extra control channel bandwidth occupation and network delay. To address this issue, this paper proposes a prediction strategy based on incomplete traffic that is sampled by the timeouts for the installation or reactivation of flow entries. The strategy involves assigning a very short hard timeout (Tinitial) to flow entries and then increasing it at a rate of r until flows are identified as elephants or out of their lifespans. Predicted elephants are switched to an idle timeout of 5 s. Logistic regression is used to model elephants based on a complete dataset. Bayesian optimization is then used to tune the trained model Tinitial and r over the incomplete dataset. The process of feature selection, model learning, and optimization is explained. An extensive evaluation shows that the proposed approach can achieve over 90% generalization accuracy over 7 different datasets, including campus, backbone, and the Internet of Things (IoT). Elephants can be correctly predicted for about half of their lifetime. The proposed approach can significantly reduce the controller-switch interaction in campus and IoT networks, although packet completion approaches may need to be applied in networks with a short mean packet inter-arrival time.

A Water-Based Biocoating to Increase the Infection Resistance and Osteoconductivity of Titanium Surfaces.

As the population ages, the number of patients undergoing total hip arthroplasty (THA) and total knee arthroplasty (TKA) continues to increase. Infections after primary arthroplasty are rare but have high rates of morbidity and mortality, as well as enormous financial implications for healthcare systems. Numerous methods including the use of superhydrophobic coatings, the incorporation of antibacterial agents, and the application of topographical treatments have been developed to reduce bacterial attachment to medical devices. However, most of these methods require complex manufacturing processes. Thus, the main purpose of this study was to apply biocoatings to titanium (Ti) surfaces to increase their infection resistance and osteoconductivity via simple processes, without organic reagents. We modified titanium surfaces with a combination of aminomalononitrile (AMN) and an antibiotic-loaded mesoporous bioactive glass (MBG) and evaluated both the antibacterial effects of the coating layer and its effect on osteoblast proliferation and differentiation. The properties of the modified surface, such as the hydrophilicity, roughness, and surface morphology, were characterized via contact angle measurements, atomic force microscopy, and scanning electron microscopy. The cell proliferation reagent WST-1 assay and the alkaline phosphatase (ALP) assay were used to determine the degrees of adhesion and differentiation, respectively, of the MG-63 osteoblast-like cells on the surface. Antimicrobial activity was evaluated by examining the survival rate and inhibition zone of Escherichia coli (E. coli). The AMN coating layer reduced the water contact angle (WCA) of the titanium surface from 87° ± 2.5° to 53° ± 2.3° and this change was retained even after immersion in deionized water for five weeks, demonstrating the stability of the AMN coating. Compared with nontreated titanium and polydopamine (PDA) coating layers, the AMN surface coating increased MG-63 cell attachment, spreading, and early ALP expression; reduced E. coli adhesion; and increased the percentage of dead bacteria. In addition, the AMN coating served as an adhesion layer for the subsequent deposition of MBG-containing antibiotic nanoparticles. The synergistic effects of the AMN layer and antibiotics released from the MBG resulted in an obvious E. coli inhibition zone that was not observed in the nontreated titanium group.

Metformin reduces hepatocellular carcinoma incidence after successful antiviral therapy in patients with diabetes and chronic hepatitis C in Taiwan.

BACKGROUND & AIMS: Diabetes mellitus (DM) is known to increase the risk of hepatocellular carcinoma (HCC) among individuals with chronic hepatitis C (CHC). We aimed to evaluate whether metformin reduces HCC risk among individuals with DM and CHC after successful antiviral therapy. METHODS: Individuals with CHC who achieved a sustained virological response (SVR) after interferon-based therapy were enrolled in a large-scale, multicenter cohort in Taiwan (T-COACH). Cases of HCC at least 1 year after SVR were identified through linkage to the catastrophic illness and cancer registry databases. RESULTS: Of 7,249 individuals with CHC enrolled in the study, 781 (10.8%) had diabetes and 647 (82.8%) were metformin users. During a median follow-up of 4.4 years, 227 patients developed new-onset HCC. The 5-year cumulative HCC incidence was 10.9% in non-metformin users and 2.6% in metformin users, compared to 3.0% in individuals without DM (adjusted hazard ratio [aHR] 2.83; 95% CI 1.57-5.08 and aHR 1.46; 95% CI 0.98-2.19, respectively). Cirrhosis was the most important factor significantly associated with higher HCC risk in Cox regression analysis, followed by DM non-metformin use, older age, male sex, and obesity; whereas hyperlipidemia with statin use was associated with a lower HCC risk. Using the two most crucial risk factors, cirrhosis and DM non-metformin use, we constructed a simple risk model that could predict HCC risk among individuals with CHC after SVR. Metformin use was shown to reduce the risk of all liver-related complications. CONCLUSIONS: Metformin use greatly reduced HCC risk after successful antiviral therapy in individuals with diabetes and CHC. A simple risk stratification model comprising cirrhosis and DM non-metformin use could predict long-term outcomes in individuals with CHC after SVR. IMPACT AND IMPLICATIONS: The current study provides evidence that metformin could reduce hepatocellular carcinoma (HCC) incidence after successful antiviral therapy among those with diabetes and chronic hepatitis C in a large-scale nationwide cohort study. Although successful antiviral therapy greatly reduces HCC risk in individuals with chronic hepatitis C, those with cirrhosis, diabetes, obesity, and the elderly remain at high risk of HCC development. We demonstrated that a simple risk model composed of two crucial unfavorable factors, cirrhosis and diabetes without metformin use, predicts the risk of HCC and major liver-related complications after successful antiviral therapy in individuals with chronic hepatitis C. Metformin use is highly recommended for individuals with diabetes and chronic hepatitis C after viral eradication to reduce the risk of HCC.

Myosteatosis, but not Sarcopenia, Predisposes NAFLD Subjects to Early Steatohepatitis and Fibrosis Progression.

BACKGROUND & AIMS: Sarcopenia and myosteatosis are associated with advanced nonalcoholic fatty liver disease (NAFLD). However, muscle alterations in early stage NAFLD remain unclear. METHODS: Patients with nonalcoholic fatty liver (NAFL) or early nonalcoholic steatohepatitis (NASH) without significant fibrosis were selected from a prospective biopsy-proven NAFLD cohort (N = 338). The skeletal muscle index and mean muscle attenuation (MA) were measured using abdominal fat computed tomography at the third lumbar vertebra level. Severe myosteatosis was defined as the lowest quartile of sex-stratified MA values. RESULTS: Patients with early NASH (n = 87) had lower MA (45.61 ± 6.45 vs 47.48 ± 5.85 HU; P = .028) than patients with NAFL (n = 251) but a similar skeletal muscle index. Patients with more severe lobular inflammation and hepatocellular ballooning had lower MA (P = .003 and P = .041, respectively). The severe myosteatosis prevalence was higher in early NASH than in NAFL (33.3% vs 21.1%; P = .029). Patients with severe myosteatosis were more likely to have early NASH in multivariable analysis adjusted for age, sex, and metabolic factors (odds ratio, 2.45; 95% confidence interval (CI), 1.24-4.86), which was maintained after adjustment for visceral fat amount (odds ratio, 2.44; 95% CI, 1.22-4.89). During a median 29-month follow-up, 170 patients underwent repeated transient elastography. Fibrosis progression-an increase in liver stiffness measurement >2 kPa or second liver stiffness measurement ≥7 kPa-was found in 28 and 31 individuals. Severe myosteatosis was significantly associated with fibrosis progression after adjustment for various confounders (hazard ratio, 2.49; 95% CI, 1.15-5.40 and hazard ratio, 2.09; 95% CI, 1.01-4.34 for different fibrosis progression definitions). CONCLUSIONS: Severe myosteatosis is significantly associated with early NASH and fibrosis progression in early stage NAFLD.

(Pro)renin receptor inhibition attenuated liver steatosis, inflammation, and fibrosis in mice with steatohepatitis.

The (Pro)renin receptor (PRR) is reportedly involved in hepatic lipid metabolism and hepatocyte PRR knockdown protects mice against hepatosteatosis. However, the impact of PRR inhibition on liver inflammation and fibrosis in nonalcoholic steatohepatitis (NASH) remains unclear. Herein, C57BL/6 mice were fed a normal chow diet or fast food diet (FFD) for 24 weeks. Lentivirus-mediated PRR short hairpin RNA (shRNA) or handle region peptide (HRP), a PRR blocker, was administered for PRR inhibition. Mouse primary hepatocytes were cultured with palmitic acid, prorenin, siRNA-targeted PRR, and HRP. In FFD-fed mice, PRR inhibition via lentivirus-mediated PRR knockdown or HRP significantly attenuated liver steatosis, inflammation, and fibrosis. Mechanistically, PRR knockdown or HRP decreased hepatic acetyl-CoA carboxylase (ACC) abundance and upregulated peroxisome proliferator-activated receptor-alpha (PPARα). HRP treatment also decreased hepatic PRR expression. In addition, intrahepatic oxidative stress, apoptosis and inflammatory cell recruitment were ameliorated by PRR knockdown or HRP treatment, along with suppression of proinflammatory cytokine expression. PRR inhibition downregulated the hepatic expression of profibrotic factors, as well as TGF-ß1/SMAD3 pathway. In primary mouse hepatocytes, PRR knockdown with siRNA or HRP downregulated cellular ACC and increased PPARα expression. In conclusion, our findings revealed that PRR inhibition attenuated hepatic steatosis, inflammation, and fibrosis in mice with NASH. Accordingly, targeting PRR signaling may serve as a potential treatment for NASH.

Preservation of vascular endothelial glycocalyx and barrier by activation of adenosine A2A receptor (A2AR) improved renal dysfunction in cirrhotic rats.

Cirrhosis-related hepatic and renal endothelial dysfunction is characterized by macrophage-endothelium adhesion-mediated inflammation, glycocalyx/barrier damage, and impaired vasodilation. Activation of adenosine A2A receptor (A2AR) protects cirrhotic rats from impairment of hepatic microcirculation post hepatectomy. This study evaluates the effects of A2AR activation on the cirrhosis-related hepatic and renal endothelial dysfunction in biliary cirrhotic rats receiving two weeks of A2AR agonist PSB0777 [bile duct ligated (BDL)+PSB0777] treatment. Endothelial dysfunction in cirrhotic liver, renal vessels, and kidney is characterized by downregulation of the A2AR expressions, decreased vascular endothelial vasodilatory (p-eNOS)/anti-inflammatory (IL-10/IL-10R)/barrier [VE-cadherin (CDH5) and ß-catenin (CTNNB1)]/glycocalyx [syndecan-1 (SDC1) and hyaluronan synthase-2 (HAS2)] markers, and increased leukocyte-endothelium adhesion molecules (F4/80, CD68, ICAM-1, and VCAM-1). In BDL rats, PSB0777 treatment improves hepatic and renal endothelial dysfunction, ameliorates portal hypertension, and attenuates renal hypoperfusion by restoring of the vascular endothelial anti-inflammatory, barrier, glycocalyx markers and vasodilatory response as well as inhibiting the leukocyte-endothelium adhesion. In an in vitro study, conditioned medium (CM) of bone marrow-derived macrophage (BMDM) of BDL rats [BMDM-CM (BDL)] induced barrier/glycocalyx damage, which was reversed by the PSB0777 pre-treatment. The A2AR agonist is a potential agent that can simultaneously correct cirrhosis-related hepatic and renal endothelial dysfunction, portal hypertension, renal hypoperfusion, and renal dysfunction.

Is OLP potentially malignant? A clue from ZNF582 methylation.

OBJECTIVE: Whether oral lichen planus (OLP) was potentially malignant remains controversial. Here, we examined associations of ZNF582 methylation (ZNF582m ) with OLP lesions, dysplastic features and squamous cell carcinoma (OSCC). MATERIALS AND METHODS: This is a case-control study. ZNF582m was evaluated in both lesion and adjacent normal sites of 42 dysplasia, 90 OSCC and 43 OLP patients, whereas ZNF582m was evaluated only in one mucosal site of 45 normal controls. High-risk habits affecting ZNF582m such as betel nut chewing and cigarette smoking were also compared in those groups. RESULTS: OLP lesions showed significantly lower ZNF582m than those of dysplasia and OSCC. At adjacent normal mucosa, ZNF582m increased from patients of OLP, dysplasia, to OSCC. In addition, ZNF582m at adjacent normal sites in OLP patients was comparable to normal mucosa in control group. Dysplasia/OSCC patients with high-risk habits exhibited significantly higher ZNF582m than those without high-risk habits. However, ZNF582m in OLP patients was not affected by those high-risk habits. CONCLUSIONS: OLP is unlikely to be potentially malignant based on ZNF582m levels. ZNF582m may also be a potential biomarker for distinguishing OLP from true dysplastic features and OSCC, and for monitoring the malignant transformation of OLP, potentially malignant disorders with dysplastic features and OSCC.

Incidence and contributing factors of non-root canal treated teeth with chronic fatigue root fracture: A cross-sectional study.

BACKGROUND/PURPOSE: Chronic fatigue root fracture describes a root fracture in a non-root canal treated (non-RCT) tooth. This study aimed to report the incidence and contributing factors of non-RCT teeth with chronic fatigue root fracture in a Taiwanese population. METHODS: This cross-sectional study included teeth extracted at Taipei Veterans General Hospital in Taiwan between 2018 and 2019. The reasons for extractions were recorded and included vertical and horizontal root fractures (VRF and HRF). Comparisons of clinical factors between teeth with fatigue VRF and teeth with fatigue HRF were performed by chi-square or Fisher exact test, where appropriate. RESULTS: Of the 4207 extracted teeth examined, 263 (6.25%) had tooth fracture. Thirty-two non-RCT teeth had chronic fatigue root fracture, including 16 with VRF and 16 with HRF. The incidence was 0.76% (32/4207). The occurrence of chronic fatigue root fracture was higher in males (83.9%). The mean age of the 31 patients with chronic fatigue root fracture was 71.7 ± 13.1 years. More than half of these teeth had intact crowns with severe attrition. The fatigue VRF occurred more frequently in molars (P = 0.003), in roots with a long oval cross-section (P = 0.037), and in terminal teeth (P = 0.013) than the fatigue HRF. CONCLUSION: The incidence of chronic fatigue root fracture is 0.76%. Both VRF and HRF occur mainly in aged males, in posterior teeth with attrition, and in teeth without restoration. Tooth position, cross-section root morphology, and terminal tooth are contributing factors related to chronic fatigue root fracture.

TASL, TADE, and DAROC consensus for the screening and management of hepatitis C in patients with diabetes.

Diabetes mellitus (DM) and hepatitis C virus (HCV) infection are prevalent diseases globally and emerging evidence demonstrates the bidirectional association between the two diseases. Direct-acting antivirals (DAAs) for HCV have a high treatment success rate and can significantly reduce the risks of short and long-term complications of HCV infection. However, despite the evidence of the association between diabetes and HCV and the benefits of anti-HCV treatment, previously published guidelines did not focus on the universal HCV screening for patients with diabetes and their subsequent management once confirmed as having HCV viremia. Nonetheless, screening for HCV among patients with diabetes will contribute to the eradication of HCV infection. Thus, the three major Taiwan medical associations of diabetes and liver diseases endorsed a total of 14 experts in the fields of gastroenterology, hepatology, diabetology, and epidemiology to convene and formulate a consensus statement on HCV screening and management among patients with diabetes. Based on recent studies and guidelines as well as from real-world clinical experiences, the Taiwan experts reached a consensus that provides a straightforward approach to HCV screening, treatment, and monitoring of patients with diabetes.

Personalized Federated Learning Algorithm with Adaptive Clustering for Non-IID IoT Data Incorporating Multi-Task Learning and Neural Network Model Characteristics.

The proliferation of IoT devices has led to an unprecedented integration of machine learning techniques, raising concerns about data privacy. To address these concerns, federated learning has been introduced. However, practical implementations face challenges, including communication costs, data and device heterogeneity, and privacy security. This paper proposes an innovative approach within the context of federated learning, introducing a personalized joint learning algorithm for Non-IID IoT data. This algorithm incorporates multi-task learning principles and leverages neural network model characteristics. To overcome data heterogeneity, we present a novel clustering algorithm designed specifically for federated learning. Unlike conventional methods that require a predetermined number of clusters, our approach utilizes automatic clustering, eliminating the need for fixed cluster specifications. Extensive experimentation demonstrates the exceptional performance of the proposed algorithm, particularly in scenarios with specific client distributions. By significantly improving the accuracy of trained models, our approach not only addresses data heterogeneity but also strengthens privacy preservation in federated learning. In conclusion, we offer a robust solution to the practical challenges of federated learning in IoT environments. By combining personalized joint learning, automatic clustering, and neural network model characteristics, we facilitate more effective and privacy-conscious machine learning in Non-IID IoT data settings.

A Trusted Reputation Management Scheme for Cross-Chain Transactions.

Blockchain has become a well-known, secured, decentralized datastore in many domains, including medical, industrial, and especially the financial field. However, to meet the requirements of different fields, platforms that are built on blockchain technology must provide functions and characteristics with a wide variety of options. Although they may share similar technology at the fundamental level, the differences among them make data or transaction exchange challenging. Cross-chain transactions have become a commonly utilized function, while at the same time, some have pointed out its security loopholes. It is evident that a secure transaction scheme is desperately needed. However, what about those nodes that do not behave? It is clear that not only a secure transaction scheme is necessary, but also a system that can gradually eliminate malicious players is of dire need. At the same time, integrating different blockchain systems can be difficult due to their independent architectures, and cross-chain transactions can be at risk if malicious attackers try to control the nodes in the cross-chain system. In this paper, we propose a dynamic reputation management scheme based on the past transaction behaviors of nodes. These behaviors serve as the basis for evaluating a node's reputation to support the decision on malicious behavior and enable the system to intercept it in a timely manner. Furthermore, to establish a reputation index with high precision and flexibility, we integrate Particle Swarm Optimization (PSO) into our proposed scheme. This allows our system to meet the needs of a wide variety of blockchain platforms. Overall, the article highlights the importance of securing cross-chain transactions and proposes a method to prevent misbehavior by evaluating and managing node reputation.

The burden of bacterial antimicrobial resistance in Croatia in 2019: a country-level systematic analysis.

AIM: To deliver the most wide-ranging set of antimicrobial resistance (AMR) burden estimates for Croatia to date. METHODS: A complex modeling approach with five broad modeling components was used to estimate the disease burden for 12 main infectious syndromes and one residual group, 23 pathogenic bacteria, and 88 bug-drug combinations. This was represented by two relevant counterfactual scenarios: deaths/disability-adjusted life years (DALYs) that are attributable to AMR considering a situation where drug-resistant infections are substituted with sensitive ones, and deaths/DALYs associated with AMR considering a scenario where people with drug-resistant infections would instead present without any infection. The 95% uncertainty intervals (UI) were based on 1000 posterior draws in each modeling step, reported at the 2.5% and 97.5% of the draws' distribution, while out-of-sample predictive validation was pursued for all the models. RESULTS: The total burden associated with AMR in Croatia was 2546 (95% UI 1558-3803) deaths and 46958 (28,033-71,628) DALYs, while the attributable burden was 614 (365-943) deaths and 11321 (6,544-17,809) DALYs. The highest number of deaths was established for bloodstream infections, followed by peritoneal and intra-abdominal infections and infections of the urinary tract. Five leading pathogenic bacterial agents were responsible for 1808 deaths associated with resistance: Escherichia coli, Staphylococcus aureus, Acinetobacter baumannii, Klebsiella pneumoniae, and Pseudomonas aeruginosa (ordered by the number of deaths). Trimethoprim/sulfamethoxazole-resistant E coli and methicillin-resistant S. aureus were dominant pathogen-drug combinations in regard to mortality associated with and attributable to AMR, respectively. CONCLUSION: We showed that AMR represented a substantial public health concern in Croatia, which reflects global trends; hence, our detailed country-level findings may fast-track the implementation of multipronged strategies tailored in accordance with leading pathogens and pathogen-drug combinations.

Impact of Sofosbuvir-Based Direct-Acting Antivirals on Renal Function in Chronic Hepatitis C Patients With Impaired Renal Function: A Large Cohort Study From the Nationwide HCV Registry Program (TACR).

BACKGROUND & AIMS: Sofosbuvir is approved for chronic hepatitis C (CHC) patients with severe chronic kidney disease (CKD). The impact of sofosbuvir-based therapy on renal function augmentation on a real-world nationwide basis is elusive. METHODS: The 12,995 CHC patients treated with sofosbuvir-based (n = 6802) or non-sofosbuvir-based (n = 6193) regimens were retrieved from the Taiwan nationwide real-world HCV Registry Program. Serial estimated glomerular filtration rate (eGFR) levels were measured at baseline, end of treatment (EOT), and end of follow-up (EOF) (3 months after EOT). RESULTS: The eGFR decreased from baseline (91.4 mL/min/1.73 m2) to EOT (88.4 mL/min/1.73 m2; P < .001) and substantially recovered at EOF (88.8 mL/min/1.73 m2) but did not return to pretreatment levels (P < .001). Notably, a significant decrease in eGFR was observed only in patients with baseline eGFR ≥90 mL/min/1.73 m2 (from 112.9 to 106.4 mL/min/1.73 m2; P < .001). In contrast, eGFR increased progressively in patients whose baseline eGFR was <90 mL/min/1.73 m2 (from 70.0 to 71.5 mL/min/1.73 m2; P < .001), and this increase was generalized across different stages of CKD. The trend of eGFR amelioration was consistent irrespective of sofosbuvir usage. Multivariate adjusted analysis demonstrated that baseline eGFR >90 mL/min/1.73 m2 was the only factor independently associated with significant slope coefficient differences of eGFR (-1.98 mL/min/1.73 m2; 95% confidence interval, -2.24 to -1.72; P < .001). The use of sofosbuvir was not an independent factor associated with eGFR change. CONCLUSIONS: Both sofosbuvir and non-sofosbuvir-based regimens restored renal function in CHC patients with CKD, especially in those with significant renal function impairment.

Ledipasvir/sofosbuvir for HCV genotype 1, 2, 4-6 infection: Real-world evidence from a nationwide registry in Taiwan.

BACKGROUND/PURPOSE: The Taiwan Association for the Study of the Liver (TASL) HCV Registry (TACR) is a nationwide registry of chronic hepatitis C patients in Taiwan. This study evaluated antiviral effectiveness of ledipasvir (LDV)/sofosbuvir (SOF) in patients in the TACR. METHODS: Patients enrolled in TACR from 2017-2020 treated with LDV/SOF were eligible. The primary outcome was the proportion of patients with sustained virologic response 12 weeks after end of treatment (SVR12). RESULTS: 5644 LDV/SOF ± ribavirin-treated patients were included (mean age: 61.4 years; 54.4% female). Dominant viral genotypes were GT1 (50.8%) and GT2 (39.3%). 1529 (27.1%) patients had liver cirrhosis, including 201 (3.6%) with liver decompensation; 686 (12.2%) had chronic kidney disease. SVR12 was achieved in 98.6% of the overall population and in 98.2% and 98.7% of patients with and without cirrhosis, respectively. SVR12 rates in patients with compensated cirrhosis treated with LDV/SOF without RBV were >98%, regardless of prior treatment experience. SVR12 was 98.6%, 98.4%, 100%, 100%, and 98.7% among those with GT1, GT2, GT4, GT5, and GT6 infections, respectively. Although patient numbers were relatively small, SVR12 rates of 100% were reported in patients infected with HCV GT2, GT5, and GT6 with decompensated cirrhosis and 98% in patients with severely compromised renal function. LDV/SOF adherence ≤60% (P < 0.001) was the most important factor associated with treatment failure. Incidence of adverse events was 15.8%, with fatigue being the most common. CONCLUSION: LDV/SOF is effective and well tolerated in routine clinical practice in Taiwan. Cure rates were high across patient populations.

The Efficient Mobile Management Based on Metaheuristic Algorithm for Internet of Vehicle.

With the low latency, high transmission rate, and high reliability provided by the fifth-generation mobile communication network (5G), many applications requiring ultra-low latency and high reliability (uRLLC) have become a hot research topic. Among these issues, the most important is the Internet of Vehicles (IoV). To maintain the safety of vehicle drivers and road conditions, the IoV can transmit through sensors or infrastructure to maintain communication quality and transmission. However, because 5G uses millimeter waves for transmission, a large number of base stations (BS) or lightweight infrastructure will be built in 5G, which will make the overall environment more complex than 4G. The lightweight infrastructure also has to be considered together. For these reasons, in 5G, there are two mechanisms for handover, horizontal, and vertical handover; hence, it must be discussed how to handle handover to obtain the best performance for the whole network. In this paper, to address handover selection, we consider delay time, energy efficiency, load balancing, and energy consumption and formulate it as a multi-objective optimization (MOO) problem. At the same time, we propose the handover of the mobile management mechanism based on location prediction combined with heuristic algorithms. The results show that our proposed mechanism is better than the distance-based one for energy efficiency, load, and latency. It optimizes by more than about 20% at most.