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Background: The Anticholinergic Risk Scale and Total Anticholinergic Load were developed to assess the risks associated with anticholinergic drugs. Recently, the Japan Anticholinergic Risk Scale was introduced; however, the total anticholinergic load for adverse events has not been clarified, and the criteria for risk assessment in clinical practice have not been established. In this study, we used data from the Japanese Adverse Drug Event Report (JADER) database provided by the Pharmaceuticals and Medical Devices Agency to determine the total anticholinergic load associated with reported adverse events related to anticholinergic syndrome.

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A large set of antimalarial molecules (N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction of antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, molecules tested at multiple doses against blood stages of Plasmodium falciparum were used for model development. The open-access and code-free KNIME platform was used to develop a workflow to train the model on 80% of data (N ~ 12k).

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Background: The Immunoglobulin Heavy Chain (IGH) genomic region is responsible for the production of circulating antibodies and warrants careful investigation for its association with COVID-19 characteristics. Multiple allelic variants within and across different IGH gene segments form a limited set of haplotypes. Previous studies have shown associations between some of these haplotypes and clinical outcomes of COVID-19.

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Background: PARP inhibitors (PARPis) have shown promising effectiveness for ovarian cancer. This network meta-analysis (PROSPERO registration number CRD42024503390) comprehensively evaluated the effectiveness and safety of PARPis in platinum-sensitive recurrent ovarian cancer (PSROC).

Methods: Articles published before January 6, 2024 were obtained from electronic databases.

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Exploring serum miR-33b as a novel diagnostic marker for hypercholesterolemia and obesity: insights from a pilot case-control study.

BMC Endocr Disord

January 2025

Gastroenterology and Hepatology Research Center, Institute of Basic and Clinical Physiology Sciences, of Clinical Biochemistry, Kerman University of Medical Sciences, Jahad Boulevard Avicenna Avenue, Kerman, 7619813159, Iran.

Obesity and atherosclerosis are significant metabolic diseases characterized by disrupted lipid metabolism. MicroRNAs (miRNAs) are small, conserved, non-coding RNA sequences consisting of approximately 22 nucleotides, playing crucial roles in biological and pathological functions. Among these, miR-33a/b is particularly associated with metabolic diseases, notably obesity and atherosclerosis.

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