A Randomized, Comparative Trial of a Potassium-Competitive Acid Blocker (X842) and Lansoprazole for the Treatment of Patients with Erosive Esophagitis.

Introduction: X842 is a new type of gastric acid-suppressing agent with a rapid onset of action and a long duration of effect. We aim to investigate the efficacy and safety of different doses of X842 versus lansoprazole in the treatment of patients with erosive esophagitis (EE).

Methods: This phase 2 study included 90 patients with EE (Los Angeles grades A-D) who were randomized (1:1:1) to receive oral low-dose X842 (50 mg/day, n=31), high-dose X842 (100 mg/day, n=31), or lansoprazole (30 mg/day, n=30) for 4 weeks.

Within-host evolution of a transcriptional regulator contributes to the establishment of chronic Pseudomonas aeruginosa infection.

As an opportunistic pathogen, Pseudomonas aeruginosa can cause both acute and chronic infections that are notoriously difficult to treat. However, the mechanism underlying acute or chronic P. aeruginosa infection remains unclear.

Efficacy Analysis of Hypofractionated Radiotherapy for Oligometastatic Tumors: A Retrospective Study.

Introduction: Metastasis remains a major cause of death among patients with malignant tumors. Radiotherapy is one of the main modalities of cancer treatment. The rapid development of radiotherapy technology has enabled the widespread application of hypofractionated radiotherapy (HFRT) in clinical practice.

Targeted gene sequencing and bioinformatics analysis of patients with gallbladder neuroendocrine carcinoma: A case report.

Background: Gallbladder neuroendocrine carcinoma (NEC) represents a subtype of gallbladder malignancies characterized by a low incidence, aggressive nature, and poor prognosis. Despite its clinical severity, the genetic alterations, mechanisms, and signaling pathways underlying gallbladder NEC remain unclear.

Case Summary: This case study presents a rare instance of primary gallbladder NEC in a 73-year-old female patient, who underwent a radical cholecystectomy with hepatic hilar lymphadenectomy and resection of liver segments IV-B and V.

TRIM44 alleviates renal ischemia-reperfusion injury by inhibiting pyroptosis through the NLRP3 pathway.

Background: Renal ischemia-reperfusion injury (IRI) is a prevailing manifestation of acute kidney injury (AKI) with limited treatment options. TRIM44 has emerged as a possible target for treatment due to its regulatory function in inflammatory pathways.

Methods: In vivo and in vitro models were employed to ascertain the TRIM44 impact on renal IRI.

Therapeutic implications and comprehensive insights into cellular senescence and aging in the tumor microenvironment of sarcoma.

Sarcoma (SARC), a diverse group of stromal tumors arising from mesenchymal tissues, is often associated with a poor prognosis. Emerging evidence indicates that senescent cells within the tumor microenvironment (TME) significantly contribute to cancer progression and metastasis. Although the influence of senescence on SARC has been partially acknowledged, it has yet to be fully elucidated.

Drug interaction evaluation of the novel phosphodiesterase type 5 inhibitor tunodafil (youkenafil): Effects of tunodafil on omeprazole pharmacokinetics based on CYP2C19 gene polymorphism, and effects of ritonavir on tunodafil pharmacokinetics.

Purpose: To evaluate the drug-drug interactions (DDI) of tunodafil (youkenafil), a novel phosphodiesterase type 5 inhibitor, its inhibitory effects on CYP450 enzymes in vitro and its clinical trials in combination with ritonavir or omeprazole were conducted.

Methods: The inhibitory effect of tunodafil on seven major CYP450 enzymes in human liver microsomes was investigated by probe substrate method. The effect of tunodafil on the pharmacokinetics of omeprazole (CYP2C19 substrate) in 40 healthy subjects, who received a single dose of 40 mg omeprazole in combination with tunodafil on the day 8 after taking 100 mg tunodafil daily for 7 days, was assessed based on CYP2C19 genotypes.

Broad-based targeted lipidomic analysis of dental fluorosis population in an adult population.

Dental fluorosis, as a common chronic fluoride toxicity oral disease, is mainly caused by long-term excessive intake of fluoride, which seriously affects the aesthetics and function of patients' teeth. In recent years, with the rapid development of metabolomics technology, lipidomics, as an important means to study the changes in lipid metabolism in organisms, has shown great potential in revealing the mechanisms of disease development. As a major component of cell membranes and a signaling molecule, metabolic disorders of lipids are closely related to a variety of diseases, but the specific mechanism of action in dental fluorosis is still unclear.

Age-specific and sex-specific associations of visceral adipose tissue with metabolic health status and cardiovascular disease risk.

Background: Visceral adipose tissue (VAT) is known to play a role in the development of metabolic and cardiovascular disease (CVD). However, the age- and sex-specific associations between VAT and these diseases remain unclear.

Methods: In this cross-sectional study, 1,150 participants (39.

Elevated miR-221-3p inhibits epithelial-mesenchymal transition and biochemical recurrence of prostate cancer via targeting KPNA2: an evidence-based and knowledge-guided strategy.

Background: Prostate cancer (PCa) is commonly occurred among males worldwide and its prognosis could be influenced by biochemical recurrence (BCR). MicroRNAs (miRNAs) are functional regulators in carcinogenesis, and miR-221-3p was reported as one of the significant candidates deregulated in PCa. However, its regulatory pattern in PCa BCR across literature reports was not consistent, and the targets and mechanisms in PCa malignant transition and BCR are less explored.

RNA nanotherapeutics for hepatocellular carcinoma treatment.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, particularly due to the limited effectiveness of current therapeutic options for advanced-stage disease. The efficacy of traditional treatments is often compromised by the intricate liver microenvironment and the inherent heterogeneity. RNA-based therapeutics offer a promising alternative, utilizing the innovative approach of targeting aberrant molecular pathways and modulating the tumor microenvironment.

Single-dose suraxavir marboxil for acute uncomplicated influenza in adults and adolescents: a multicenter, randomized, double-blind, placebo-controlled phase 3 trial.

Suraxavir marboxil (GP681) is an antiviral drug inhibiting the polymerase acidic protein (PA) of RNA polymerase, of influenza. It has shown therapeutic activity against influenza A and B virus infections in preclinical studies. In this multicenter randomized, double-blind, placebo-controlled, phase 3 trial, we aimed to investigate the efficacy and safety of single-dose suraxavir marboxil (40-mg oral dose) in otherwise healthy outpatients aged 5-65 years with uncomplicated influenza unaccompanied by severe issues.

Endovascular Thrombectomy for Acute Vertebrobasilar Artery Occlusion with Mild Deficits: A Multicenter Registry Study.

Background Endovascular thrombectomy (EVT) is an effective method for vertebrobasilar artery occlusion (VBAO) in patients with moderate to severe deficits but has unclear benefits in patients with low National Institutes of Health Stroke Scale (NIHSS) scores at hospital admission. Purpose To compare the clinical outcomes of best medical management (BMM) alone versus BMM and early EVT (door-to-puncture time [DPT] ≤ 120 minutes) versus BMM and late EVT (DPT > 120 minutes) in patients with VBAO who have NIHSS scores of 10 or less at admission. Materials and Methods This retrospective study evaluated patients with VBAO and admission NIHSS score of 10 or less who were seen at 65 stroke centers in China from December 2015 to June 2022.

US-Guided Thermal Ablation for Secondary Hyperparathyroidism: A Prospective Multicenter Study.

Background Interest in microwave ablation (MWA) and radiofrequency ablation (RFA) use for treating secondary hyperparathyroidism (SHPT) is rising; however, ablation outcomes in patients with SHPT are not well characterized. Purpose To assess the response of parathyroid hormone (PTH), calcium, phosphorus, and alkaline phosphatase (ALP) levels to US-guided parathyroid MWA and RFA and the safety of these treatments in participants with SHPT. Materials and Methods This prospective multicenter cohort study, conducted from September 2017 to March 2022, included participants with SHPT.

RRM2 Regulates Hepatocellular Carcinoma Progression Through Activation of TGF-β/Smad Signaling and Hepatitis B Virus Transcription.

Background: Hepatocellular carcinoma (HCC) is a type of malignant tumor with high morbidity and mortality. Untimely treatment and high recurrence are currently the major challenges for HCC. The identification of potential targets of HCC progression is crucial for the development of new therapeutic strategies.

The application of deep learning in early enamel demineralization detection.

Objective: The study aims to develop a diagnostic model using intraoral photographs to accurately detect and classify early detection of enamel demineralization on tooth surfaces.

Methods: A retrospective analysis was conducted with 208 patients aged 14 to 44. A total of 624 high-quality digital images captured under standardized conditions were used to construct a deep learning model based on the Mask region-based convolutional neural network (Mask R-CNN).

Glucuronoxylomannan (GXM) modulates macrophage proliferation and apoptosis through the STAT1 signaling pathway.

cryptococcus neoformans (C. neoformans) is a crucial opportunistic fungus that possesses an encapsulated fungal pathogen. The cryptococcal capsule is mainly composed of the polysaccharide glucuronoxylomannan (GXM).

Cordycepin affects Streptococcus mutans biofilm and interferes with its metabolism.

Background: Streptococcus mutans (S. mutans) contributes to caries. The biofilm formed by S.

ALKBH5 acts a tumor-suppressive biomarker and is associated with immunotherapy response in hepatocellular carcinoma.

As immune-checkpoint inhibitors (ICIs) therapy has made great strides in hepatocellular carcinoma (HCC) treatment, improving patient response to this strategy has become the main focus of research. Accumulating evidence has shown that mA methylation plays a crucial role in the tumorigenesis and progression of HCC, while the precise impact of the mA demethylase ALKBH5 on the tumor immune microenvironment (TIME) of HCC remains poorly defined. The clinical significance of ALKBH5 and TIM3 were evaluated in human HCC tissues.

Characterizing Vericiguat Treatment in Heart Failure: A Multicenter Real-World Study in China.

Background: Real-world data on the clinical benefit of vericiguat are currently limited. This multicenter, real-world study was conducted to evaluate the clinical characteristics and therapeutic effects of vericiguat in real-world settings.

Methods: This study analyzed heart failure (HF) patients who initiated vericiguat treatment from September 2022 to August 2023 across nine hospitals in the Anhui Province, China.

A study on cognitive trajectory changes and predictive factors in middle-aged and older adults individuals with dual sensory impairment based on the health social determinants model.

Aim: This study aims to explore the cognitive trajectory changes in middle-aged and older adults individuals with dual sensory impairment (simultaneous visual and hearing impairment) and to identify the predictors of different trajectory changes.

Methods: Based on the longitudinal data from the China Health and Retirement Longitudinal Study (CHARLS) from 2013 to 2020, data from 2,369 middle-aged and older adults individuals with dual sensory impairment were selected. A latent variable growth mixture model was constructed to analyze the cognitive function development trajectories in this population and to identify their predictive factors.

Effects of dyadic coping on post-traumatic growth in patients and couples with breast cancer: an analysis based on the actor-partner interdependence model.

Purpose: Based on a dyadic perspective, the interaction between two variables of dyadic coping and post-traumatic growth in couples with breast cancer is explored, which facilitates an empirical basis for healthcare professionals to develop an intervention program to improve psychological care and quality of life for breast cancer couples.

Methods: Two hundred ten pairs of breast cancer couples attending the department of surgical oncology of a hospital affiliated with Bengbu Medical University from July to December 2023 were surveyed through a cross-sectional method. Both breast cancer couples' completed questionnaire data were investigated using the General Information Questionnaire, the Dyadic Coping Inventory, and the Post-Traumatic Growth Inventory.

Prediction of prognosis in patients with cerebral contusions based on machine learning.

Traumatic brain injury (TBI) is a global issue and a major cause of patient mortality, and cerebral contusions (CCs) is a common primary TBI. The haemorrhagic progression of a contusion (HPC) poses a significant risk to patients' lives, and effectively predicting changes in haematoma volume is an urgent clinical challenge that needs to be addressed. As a branch of artificial intelligence, machine learning (ML) can proficiently handle a wide range of complex data and identify connections between data for tasks such as prediction and decision making.

Research on health information avoidance behavior and influencing factors of cancer patients-an empirical analysis based on structural equation modeling.

Objective: To explore the health information avoidance behaviors and influencing factors of cancer patients, and to construct a structural equation model to analyze the mediating roles of self-efficacy and negative emotions in the process of generating health information avoidance behaviors of cancer patients.

Methods: A face-to-face electronic questionnaire was used to collect data. Applying a chi-square test and multivariate logistic regression model to analyze the role of different socio-demographic factors in influencing health information avoidance behavior of cancer patients; applying structural equation modeling to analyze the role mechanism of health information avoidance behavior of cancer patients.