Predictive Value of Machine Learning for the Risk of In-Hospital Death in Patients With Heart Failure: A Systematic Review and Meta-Analysis.

Background: The efficiency of machine learning (ML) based predictive models in predicting in-hospital mortality for heart failure (HF) patients is a topic of debate. In this context, this study's objective is to conduct a meta-analysis to compare and assess existing prognostic models designed for predicting in-hospital mortality in HF patients.

Methods: A systematic search of databases was conducted, including PubMed, Embase, Web of Science, and Cochrane Library up to January 2023.

Water extract of green tea attenuates alcohol-related hepatitis by inhibiting liver inflammation and gut microbiota disturbance in mice.

Green tea is one of the main types of tea in China, and it has been widely consumed in the world. This study aims to investigate the potential mechanism by which the water extract of green tea (GTWE) may be effective in the treatment of alcohol-related hepatitis (ARH), utilizing a combination of network pharmacology, molecular docking, and experimental validation. Through network pharmacology analysis, seven active components and 45 potential targets were identified, with TLR4 being confirmed as the central target.

CD73/NT5E-mediated ubiquitination of AURKA regulates alcohol-related liver fibrosis via modulating hepatic stellate cell senescence.

Alcohol-related liver disease (ALD) is the most common chronic liver disease worldwide; however, no effective treatment to prevent the progression of alcohol-related liver fibrosis (ALF) is available. CD73/NT5E, a nucleotidase, controls cellular homeostasis by combining extracellular purinergic signaling with intracellular kinase activity and gene transcription and is associated with cell proliferation, differentiation, and death. In this study, we demonstrated that CD73/NT5E had a more significant regulatory effect on the activation, proliferation, and apoptosis of HSCs compared with that of CD39/ENTPD1.

Shufeng Jiedu capsule inhibits inflammation and apoptosis by activating A2AAR and inhibiting NF-κB to alleviate LPS-induced ALI.

Ethnopharmacological Relevance: Shufeng Jiedu capsule (SFJDC) is a pure form of traditional Chinese medicine (TCM) that contains eight medicinal plants. Known for its anti-inflammatory and antipyretic effects, it is mostly used to treat upper respiratory tract infections and other infectious diseases, such as colds, pharyngitis, laryngitis, and tonsillitis. Both acute lung injury (ALI) and COVID-19 are closely related to lung damage, primarily manifesting as lung inflammation and epithelial cell damage.

Influence of Gut Microbiota and Trimethylamine N-Oxide in Patients with Coronary Heart Disease.

In the current study, the gut microbiota of patients with and without coronary heart disease was compared and the relationship between gut microbiota distribution, intending to reveal the role of gut microbiota in the coronary atherosclerosis process, was investigated.This study included 50 patients diagnosed with coronary heart disease (CHD) who received conventional coronary angiography or computed tomography angiography and 50 patients with CHD at Changshu No. 2 People's Hospital, Suzhou, China, from May 2020 to January 2021.

CD73-Adenosine AR Axis Regulates the Activation and Apoptosis of Hepatic Stellate Cells Through the PLC-IP-Ca/DAG-PKC Signaling Pathway.

Alcohol-related liver fibrosis (ALF) is a form of alcohol-related liver disease (ALD) that generally occurs in response to heavy long-term drinking. Ecto-5'-nucleotidase (NT5E), also known as CD73, is a cytomembrane protein linked to the cell membrane a GPI anchor that regulates the conversion of extracellular ATP to adenosine. Adenosine and its receptors are important regulators of the cellular response.

The Bioinformatical Identification of Potential Biomarkers in Heart Failure Diagnosis and Treatment.

Background: Heart failure (HF) is defined as the inability of the heart's systolic and diastolic function to properly discharge blood flow from the veins to the heart. The goal of our research is to look into the possible mechanism that causes HF.

Methods: The GSE5406 database was used for screening the differentially expressed genes (DEGs).

Identification of Key Genes Involved in Acute Myocardial Infarction by Comparative Transcriptome Analysis.

Background: Acute myocardial infarction (AMI) is regarded as an urgent clinical entity, and identification of differentially expressed genes, lncRNAs, and altered pathways shall provide new insight into the molecular mechanisms behind AMI.

Materials And Methods: Microarray data was collected to identify key genes and lncRNAs involved in AMI pathogenesis. The differential expression analysis and gene set enrichment analysis (GSEA) were employed to identify the upregulated and downregulated genes and pathways in AMI.