BMC

In patients with atrial fibrillation, peripheral artery disease is associated with lower use of oral anticoagulant and a higher risk of adverse outcomes, with a greater risk seen in younger patients, reports a study in BMC Medicine. Link to the paper in the comments.

A Review published in Clinical Epigenetics discusses the latest findings about the mechanisms that underline BRCA1/2 function and the molecular characteristics of tumors associated with BRCA1/2 defects, by focusing on DNA methylation. Link to the Review in the comments.

Among individuals with metabolic syndrome, “a body shape index," is linked to an elevated risk of developing colorectal cancer, finds a study published in BMC Gastroenterology. Link to the paper in the comments.

An article published in the Journal of Cheminformatics presents CSearch: a method for effectively exploring the chemical space of drug-like molecules using a global optimization algorithm with fragment-based virtual synthesis. Link to the paper in the comments.

A Review published in Biology of Sex Differences summarizes recent knowledge about the long noncoding RNA X-inactive specific transcript structure/function and involvement in human disease with focus on its abnormal expression in males. Link to the Review in the comments.

An article published in BMC Bioinformatics presents Pheno-Ranker: an open-source software toolkit for individual-level comparison of phenotypic data.

A study published in BMC Pulmonary Medicine reveals that adherence to healthy lifestyles significantly reduces the odds of obstructive sleep apnea, with BMI playing a critical mediating role in this relationship.

Type 2 diabetes interacts with past COVID-19 synergistically to magnify the risk of tuberculosis, finds a study published in BMC Infectious Diseases. Larger studies are warranted.

Plasma Per- and polyfluoroalkyl substances (PFOS) and its isomers are positively associated with coronary heart disease risk in US men and women, reports a study published in Environment Health.

A systematic review in BMC Medicine aims to identify, describe, and appraise AI models of cardiovascular disease prediction in the general and special populations and develop a new independent validation score for AI model replicability evaluation.