Up-to-date knowledge of gut microbial taxa associated with ischemic heart disease (IHD). Microbial metabolites for mechanistic dissection of IHD pathology. Microbiome-based therapies in IHD prevention and treatment.
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http://dx.doi.org/10.1002/imt2.94 | DOI Listing |
J Investig Med High Impact Case Rep
January 2025
The University of the West Indies, St. Augustine, Trinidad and Tobago.
We describe a 30-year-old Caribbean-Black woman with a clinical presentation suggestive of a transient ischemic attack (TIA) with no conventional cerebrovascular risk factors, albeit with a newly diagnosed quadricuspid aortic valve (QAV) with moderate aortic regurgitation (AR). Although QAV is a recognized congenital cardiac defect, its association with TIA remains elusive. This case highlights the importance of considering potential atypical etiologies, such as QAV, in the evaluation and management of young patients presenting with cerebrovascular events.
View Article and Find Full Text PDFIran J Med Sci
December 2024
Cardiovascular Research Center, Kerman University of Medical Sciences, Kerman, Iran.
Background: The relationship between diastolic function parameters and the severity of coronary artery disease (CAD) is controversial. This study aimed to determine the relationship between left ventricular diastolic function and the severity of CAD.
Methods: This cross-sectional study included 63 patients with Ischemic heart disease (IHD) or those suspected of having IHD, who underwent angiography.
Front Pharmacol
January 2025
State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Atherosclerotic cardiovascular disease (ASCVD) causes significant morbidity and mortality globally. Most of the chemicals specifically target certain pathways and minimally impact other diseases associated with ASCVD. Moreover, interactions of these drugs can cause toxic reactions.
View Article and Find Full Text PDFDigit Health
January 2025
School of Computer Science, The University of Sydney, Sydney, NSW, Australia.
Objective: Machine learning (ML) has enabled healthcare discoveries by facilitating efficient modeling, such as for cancer screening. Unlike clinical trials, real-world data used in ML are often gathered for multiple purposes, leading to bias and missing information for a specific classification task. This challenge is especially pronounced in healthcare because of stringent ethical considerations and resource constraints.
View Article and Find Full Text PDFF1000Res
January 2025
German Centre for the Protection of Laboratory Animals (Bf3R), German Federal Institute for Risk Assessment (BfR), Berlin, Berlin, Germany.
The translation of animal-based biomedical research into clinical research is often inadequate. Maximizing translation should be central to animal research on human diseases, guiding researchers in study design and animal model selection. However, practical considerations often drive the choice of animal model, which may not always reflect key patient characteristics, such as sex and age, impacting the disease's course.
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