AutoXAI4Omics: an automated explainable AI tool for omics and tabular data.

Machine learning (ML) methods offer opportunities for gaining insights into the intricate workings of complex biological systems, and their applications are increasingly prominent in the analysis of omics data to facilitate tasks, such as the identification of novel biomarkers and predictive modeling of phenotypes. For scientists and domain experts, leveraging user-friendly ML pipelines can be incredibly valuable, enabling them to run sophisticated, robust, and interpretable models without requiring in-depth expertise in coding or algorithmic optimization. By streamlining the process of model development and training, researchers can devote their time and energies to the critical tasks of biological interpretation and validation, thereby maximizing the scientific impact of ML-driven insights.

Sex Differences in Metabolic Disorders of Aging and Obesity in People with HIV.

Purpose Of Review: As advances in antiretroviral therapy for people with HIV (PWH) have prolonged lifespans, prevalence of aging and obesity related metabolic disorders have increased. The purpose of this review is to summarize recent research assessing sex differences in metabolic disorders among PWH, including weight gain/obesity, steatotic liver disease, insulin resistance/diabetes, dyslipidemia, bone loss/osteoporosis, and sarcopenia.

Recent Findings: A growing body of evidence shows that women with HIV are at increased risk of developing metabolic disorders compared to men, including body weight gain and obesity, type 2 diabetes mellitus, dyslipidemia, bone loss, and sarcopenia, while men with HIV are at higher risk for hepatosteatosis and hepatic fibrosis.

Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection.

Importance: SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms or other health effects occurring after acute infection, termed postacute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Characterizing PASC requires analysis of prospectively and uniformly collected data from diverse uninfected and infected individuals.

Objective: To develop a definition of PASC using self-reported symptoms and describe PASC frequencies across cohorts, vaccination status, and number of infections.

The Effect of PGC-1alpha-SIRT3 Pathway Activation on Infection.

The innate immune response to pulmonary infections relies on a network of pattern recognition receptors, including intracellular inflammasome complexes, which can recognize both pathogen- and host-derived signals and subsequently promote downstream inflammatory signaling. Current evidence suggests that the inflammasome does not contribute to bacterial clearance and, in fact, that dysregulated inflammasome activation is harmful in acute and chronic lung infection. Given the role of mitochondrial damage signals in recruiting inflammasome signaling, we investigated whether mitochondrial-targeted therapies could attenuate inflammasome signaling in response to and decrease pathogenicity of infection.