Comparative phenotypic and proteomic analysis of colistin-exposed .

Introduction: The emergence of colistin resistance threatens the treatment of infections.

Methods: In this study, in vitro development of colistin resistance was investigated using comparative phenotypic and proteomic analysis of ATCC 9027, its 14-day colistin sub-MIC exposed strain (Col-E1), and 10-day antibiotic-free cultured Col-E1 strain (Col-E2). Antibiotic susceptibility, morphology, virulence factors, and proteomic changes were assessed using disc-diffusion, agar-based, spectrophotometry, SEM, and iTRAQ-LC-MS/MS methods.

Timing of Delivery of Low-Risk Persons and the Risk of Attention-Deficit Hyperactivity Disorder in Offspring: Sweden and British Columbia, Canada.

Background: An evidence gap exists concerning the timing of delivery at 37-42 weeks and the risk of attention-deficit hyperactivity disorder (ADHD) in offspring.

Objective: To determine the association between timing of delivery in low-risk pregnancies at term (37-42 weeks) gestations and ADHD in offspring.

Methods: This population-based cohort study comprised 1,424,453 singletons in Sweden and 403,765 in British Columbia (BC), Canada, live-born at 37-42 completed weeks to low-risk pregnant women between 2000 and 2018.

An appropriate DNA input for bisulfite conversion reveals LINE-1 and Alu hypermethylation in tissues and circulating cell-free DNA from cancers.

The autonomous and active Long-Interspersed Element-1 (LINE-1, L1) and the non-autonomous Alu retrotransposon elements, contributing to 30% of the human genome, are the most abundant repeated sequences. With more than 90% of their sequences being methylated in normal cells, these elements undeniably contribute to the global DNA methylation level and constitute a major part of circulating-cell-free DNA (cfDNA). So far, the hypomethylation status of LINE-1 and Alu in cellular and extracellular DNA has long been considered a prevailing hallmark of ageing-related diseases and cancer.

Utilising causal inference methods to estimate effects and strategise interventions in observational health data.

Randomised controlled trials (RCTs) are the gold standard for evaluating health interventions but often face ethical and practical challenges. When RCTs are not feasible, large observational data sets emerge as a pivotal resource, though these data sets may be subject to bias and unmeasured confounding. Traditional statistical (or non-causal) learning methods, while useful, face limitations in fully uncovering causal effects, i.

Feasibility and acceptability for LION, a fully remote, randomized clinical trial within the VA for light therapy to improve sleep in Veterans with and without TBI: An MTBI2 sponsored protocol.

Sleep-wake disturbances frequently present in Veterans with mild traumatic brain injury (mTBI). These TBI-related sleep impairments confer significant burden and commonly exacerbate other functional impairments. Therapies to improve sleep following mTBI are limited and studies in Veterans are even more scarce.