Risk Factors and Predictors for Persistent Dyspnea Post-COVID-19: A Systematic Review.

The most frequently reported post-coronavirus disease of 2019 (COVID-19) symptoms include shortness of breath, fatigue, and cognitive disturbances, with reports of persistent dyspnea ranging between 26% and 41%. There is an urgent need to understand the risk factors and predictors for persistent COVID-19 dyspnea in individuals at all levels of COVID-19 illness severity, to enable the implementation of targeted interventions for those likely to be most affected with persistent dyspnea. Thus, the purpose of this systematic review is to explore the risk factors and predictors that are associated with persistent dyspnea in the post-COVID-19 population.

A genetically encoded fluorescent biosensor for visualization of acetyl-CoA in live cells.

Acetyl-coenzyme A is a central metabolite that participates in many cellular pathways. Evidence suggests that acetyl-CoA metabolism is highly compartmentalized in mammalian cells. Yet methods to measure acetyl-CoA in living cells are lacking.

Coding Variants of the Genitourinary Development Gene Carry High Risk for Prostate Cancer.

Purpose: Considerable genetic heterogeneity is currently thought to underlie hereditary prostate cancer (HPC). Most families meeting criteria for HPC cannot be attributed to currently known pathogenic variants.

Methods: To discover pathogenic variants predisposing to prostate cancer, we conducted a familial case-control association study using both genome-wide single-allele and identity-by-descent analytic approaches.

Improving Bond Dissociations of Reactive Machine Learning Potentials through Physics-Constrained Data Augmentation.

In the field of computational chemistry, predicting bond dissociation energies (BDEs) presents well-known challenges, particularly due to the multireference character of reactive systems. Many chemical reactions involve configurations where single-reference methods fall short, as the electronic structure can significantly change during bond breaking. As generating training data for partially broken bonds is a challenging task, even state-of-the-art reactive machine learning interatomic potentials (MLIPs) often fail to predict reliable BDEs and smooth dissociation curves.

Pediatric Transplant Surgeons' Perspectives on Palliative Care for Children With Chronic Kidney Disease: A National Cross-Sectional Survey.

Background: Some adult transplant surgeons consider transplant to be contraindicated in patients receiving palliative care (PC). Little is known about pediatric transplant surgeons' attitudes toward PC. We sought to ascertain pediatric kidney transplant surgeons' perspectives regarding the routine integration of PC for children with chronic kidney disease.