Airborne Escherichia coli bacteria biosynthesize lipids in response to aerosolization stress.

Gram-negative bacteria pose an increased threat to public health because of their ability to evade the effects of many antimicrobials with growing antibiotic resistance globally. One key component of gram-negative bacteria resistance is the functionality and the cells' ability to repair the outer membrane (OM) which acts as a barrier for the cell to the external environment. The biosynthesis of lipids, particularly lipopolysaccharides, or lipooligosaccharides (LPS/LOS) is essential for OM repair.

Community pharmacy's role in dispensing androgens and supporting harm reduction amid current policy dilemmas.

Background: Legitimate androgen use, such as testosterone replacement therapy, requires a legal prescription. Off-label use for reasons like wellness and aesthetics continues to grow. Recent regulatory changes in Australia aim to curb non-prescribed androgen use, potentially intensifying stigma, however seeking prescriptions through legal channels persists.

Molecular Determinants of Protein Pathogenicity at the Single-Aggregate Level.

Determining the structure-function relationships of protein aggregates is a fundamental challenge in biology. These aggregates, whether formed in vitro, within cells, or in living organisms, present significant heterogeneity in their molecular features such as size, structure, and composition, making it difficult to determine how their structure influences their functions. Interpreting how these molecular features translate into functional roles is crucial for understanding cellular homeostasis and the pathogenesis of various debilitating diseases like Alzheimer's and Parkinson's.

Who is coming in? Evaluation of physician performance within multi-physician emergency departments.

Background: This study aimed to examine how physician performance metrics are affected by the speed of other attendings (co-attendings) concurrently staffing the ED.

Methods: A retrospective study was conducted using patient data from two EDs between January-2018 and February-2020. Machine learning was used to predict patient length of stay (LOS) conditional on being assigned a physician of average speed, using patient- and departmental-level variables.