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Cemdomespib Therapy Slows the Progression of Neuromuscular Weakness and Demyelination in the R75W-Connexin 32 Animal Model of Charcot-Marie-Tooth 1X Disease.
ACS Pharmacol Transl Sci
January 2025
Department of Pharmacology and Toxicology, University of Kansas, Lawrence, Kansas 66045, United States.
Mutations in connexin 32 (Cx32) are a common cause of Charcot-Marie-Tooth 1X (CMT1X) disease, an inherited peripheral neuropathy characterized by progressive neuromuscular weakness and demyelination. There are no approved pharmacologic therapies for CMT1X, and identifying new treatments that slow the onset and severity of neuromuscular decline may aid disease management. Cemdomespib is an orally bioavailable small molecule that improved demyelination and neuromuscular junction (NMJ) morphology in mice lacking Cx32 expression.
View Article and Find Full Text PDFDeveloping a novel transitional care model for older emergency department patients and exploring the target population in Taiwan.
Front Med (Lausanne)
December 2024
Department of Emergency Medicine, Chi Mei Medical Center, Tainan, Taiwan.
Aim: Transitional care in the emergency department (ED) has the potential to improve outcomes for older patients, but the specific population benefits from it and impact in Taiwan remain unclear. Therefore, we conducted this study.
Methods: An interdisciplinary team comprising emergency physicians, dedicated transitional care nurse (TCN), nurse practitioners, nurses, geriatricians, and social workers was established at a tertiary medical center.
Bioethanol production from potatoes in India: A SWOT analysis.
Heliyon
December 2024
ICAR-Central Potato Research Institute, Shimla, HP, India.
India is the third-largest energy consumer globally, heavily reliant on imported oil. Projections suggest India's energy consumption will double by 2050, posing challenges to energy security and leading to significant foreign currency outflows. The extensive use of fossil fuels increases carbon emissions, raising environmental and health concerns.
View Article and Find Full Text PDFAccurately assessing congenital heart disease using artificial intelligence.
PeerJ Comput Sci
November 2024
Department of Computer Science, School of Engineering and Digital Sciences, Nazarbayev University, Astana, Kazakhstan.
Congenital heart disease (CHD) remains a significant global health challenge, particularly contributing to newborn mortality, with the highest rates observed in middle- and low-income countries due to limited healthcare resources. Machine learning (ML) presents a promising solution by developing predictive models that more accurately assess the risk of mortality associated with CHD. These ML-based models can help healthcare professionals identify high-risk infants and ensure timely and appropriate care.
View Article and Find Full Text PDFImpact of edentulism on community-dwelling adults in low-income, middle-income and high-income countries: a systematic review.
BMJ Open
December 2024
Centre for Public Health, Queen's University Belfast, Belfast, UK.
Objectives: This study aims to comprehensively explore the consequences of edentulism on community-dwelling adults in low-income, middle-income and high-income countries.
Design: Systematic review and Synthesis Without Meta-Analysis (SWiM).
Data Sources: MEDLINE, Embase, Scopus, Web of Science and the Cochrane Central Register of Controlled Trials (CENTRAL) were searched from inception to 21 March 2023, in addition to grey literature searches, reference cross-checking and study recommendations.
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