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Background: Vibrio parahaemolyticus is a marine bacterium causing seafood-associated gastrointestinal illness in humans and acute hepatopancreatic necrosis disease (AHPND) in shrimp. Bacteriophages have emerged as promising biocontrol agents against V. parahaemolyticus.

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Background: Therapeutic antibodies for the treatment of neurological disease show great potential, but their applications are rather limited due to limited brain exposure. The most well-studied approach to enhance brain influx of protein therapeutics, is receptor-mediated transcytosis (RMT) by targeting nutrient receptors to shuttle protein therapeutics over the blood-brain barrier (BBB) along with their endogenous cargos. While higher brain exposure is achieved with RMT, the timeframe is short due to rather fast brain clearance.

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Background: Breastfeeding is the cornerstone of a newborn's nutrition, containing crucial nutritional components. While a substantial body of research focuses on mothers, there is limited understanding regarding effective strategies to engage fathers in promoting breastfeeding practices. Therefore, this quasi-experimental study investigated a community-based intervention to improve breastfeeding exclusivity and initiation rates by targeting fathers in breastfeeding education.

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Resistance mechanisms and therapeutic strategies of CDK4 and CDK6 kinase targeting in cancer.

Nat Cancer

January 2025

Department of Oncological Sciences, Precision Immunology Institute, the Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Cyclin-dependent kinases (CDKs) 4 and 6 (CDK4/6) are important regulators of the cell cycle. Selective CDK4/6 small-molecule inhibitors have shown clinical activity in hormonal receptor-positive (HR) metastatic breast cancer, but their effectiveness remains limited in other cancer types. CDK4/6 degradation and improved selectivity across CDK paralogs are approaches that could expand the effectiveness of CDK4/6 targeting.

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The study aims to develop and validate an effective model for predicting frailty risk in individuals with mild cognitive impairment (MCI). The cross-sectional analysis employed nationally representative data from CHARLS 2013-2015. The sample was randomly divided into training (70%) and validation sets (30%).

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