Publications by authors named "Junwei Chow"
Hawthorn leave flavonoids (HLF) are widely used as an herb or dietary supplements for cardio-cerebrovascular diseases. However, its gastrointestinal absorption behavior and mechanism have not been disclosed. In this study, gastrointestinal absorption and its regulation of 4''-O-glucosylvitexin (GLV), 2''-O-rhamnosylvitexin (RHV), vitexin (VIT), rutin (RUT) and hyperoside (HP) in HLF were investigated using in vitro, in situ and in vivo models.
View Article and Find Full Text PDFArticle Synopsis
- Sotagliflozin, an antidiabetic recently approved for heart failure (HF), has not been thoroughly assessed for its cardiovascular benefits in type 2 diabetes patients with HF or cardiovascular risks, prompting this study.
- The study analyzed data from 11 randomized controlled trials involving 30,952 patients to compare the efficacy and safety of sotagliflozin against placebo, dapagliflozin, and empagliflozin over at least 12 weeks.
- Results indicated that sotagliflozin was more effective than dapagliflozin in reducing HF events and preventing major adverse cardiovascular events (MACE) but less effective than empagliflozin in preventing cardiovascular death, with no increased risks for diabetic
Serious adverse events following immunization (AEFI) associated with the COVID-19 vaccines, including BNT162b2 (Pfizer-BioNTech), Ad26.COV2.S (Janssen), and mRNA-1273 (Moderna), have not yet been fully investigated.
View Article and Find Full Text PDFBackground: Panoramic views of post-marketing safety profiles, such as cancer signal, of phosphodiesterase 5A (PDE5A) inhibitors have yet to be fully evaluated.
Research Design And Methods: Data from the FDA Adverse Event Reporting System (FAERS) concerning the timeframe between January 1, 2004 to 30 June 2022 was analyzed through a disproportionality study to understand the association between sildenafil, tadalafil, and vardenafil and cancer. This association was identified using the Reporting odds ratio (ROR) and Bayesian Confidence Propagation Neural Network (BCPNN) approaches.