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Triglyceride-glucose-body mass index and the incidence of cardiovascular diseases: a meta-analysis of cohort studies.
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Department of Cardiology, Affiliated Hospital of Hangzhou Normal University, Hangzhou Institute of Cardiovascular Diseases, Zhejiang Key Laboratory of Medical Epigenetics, School of Basic Medical Sciences, Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou Normal University, Hangzhou, 310015, China.
Background: Numerous studies have shown that insulin resistance (IR) is closely related to the pathogenesis of cardiovascular disease (CVD). This study aims to summarize the correlation between the triglyceride-glucose-body mass index (TyG-BMI index), a novel surrogate indicator of insulin resistance, and the incidence of CVD in patients without CVD at baseline through meta-analysis.
Method: Cohort studies assessing multivariate-corrected hazard ratios (HRs) for associations between the TyG-BMI index and cardiovascular disease (CVD) were obtained by searching PubMed, Cochrane Library, EMBASE, and Web of Science.
Author Correction: R-loop-dependent promoter-proximal termination ensures genome stability.
Nature
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Fudan University Shanghai Cancer Center, Institutes of Biomedical Sciences, State Key Laboratory of Genetic Engineering, Shanghai Key Laboratory of Medical Epigenetics, Shanghai Key Laboratory of Radiation Oncology, Human Phenome Institute, Fudan University, Shanghai, China.
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Integrating single-cell multimodal epigenomic data using 1D convolutional neural networks.
Bioinformatics
December 2024
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, United States.
Motivation: Recent experimental developments enable single-cell multimodal epigenomic profiling, which measures multiple histone modifications and chromatin accessibility within the same cell. Such parallel measurements provide exciting new opportunities to investigate how epigenomic modalities vary together across cell types and states. A pivotal step in using these types of data is integrating the epigenomic modalities to learn a unified representation of each cell, but existing approaches are not designed to model the unique nature of this data type.
View Article and Find Full Text PDFIntegrating epigenetic modification and stem cell therapy strategies: A novel approach for advancing Alzheimer's disease treatment - A literature review.
Narra J
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Department of Histology, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Alzheimer's disease (AD) is the most frequent form of dementia and represents an increasing global burden, particularly in countries like Indonesia, where the population has begun to age significantly. Current medications, including cholinesterase inhibitors and NMDA receptor antagonists, have modest effects on clinical symptoms in the early to middle stages, but there is no curative treatment available so far despite progress. Activating or repressing epigenetic modifications, including DNA methylation, histone modification and microRNA regulation, appears to play an important role in AD development.
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