Comparative effectiveness of sotrovimab versus no treatment in non-hospitalised high-risk COVID-19 patients in north west London: a retrospective cohort study.

Background: We assessed the effectiveness of sotrovimab vs no early COVID-19 treatment in highest-risk COVID-19 patients during Omicron predominance.

Methods: Retrospective cohort study using the Discover dataset in North West London. Included patients were non-hospitalised, aged ≥12 years and met ≥1 National Health Service highest-risk criterion for sotrovimab treatment.

Colony level fitness analysis identifies a trade-off between population growth rate and dauer yield in Caenorhabditis elegans.

Background: In the evolution from unicellular to multicellular life forms, natural selection favored reduced cell proliferation and even programmed cell death if this increased organismal fitness. Could reduced individual fertility or even programmed organismal death similarly increase the fitness of colonies of closely-related metazoan organisms? This possibility is at least consistent with evolutionary theory, and has been supported by computer modelling. Caenorhabditis elegans has a boom and bust life history, where populations of nematodes that are sometimes near clonal subsist on and consume food patches, and then generate dauer larva dispersal propagules.

Use of real-world data to assess the effectiveness of ustekinumab in treating IBD patients: a retrospective linked database study in northwest London.

Background: Data on the optimum positioning of biologics in the treatment of inflammatory bowel disease (IBD) are limited.

Research Design And Methods: This was a longitudinal retrospective study of linked health-care data from northwest London, UK, for adults who started ustekinumab for IBD from 1 April 20161 April 2016 to 1 April 20211 April 2021. We compared outcomes by line of therapy (1 vs.

A tandem segmentation-classification approach for the localization of morphological predictors of lifespan and motility.

is an established model organism for studying genetic and drug effects on aging, many of which are conserved in humans. It is also an important model for basic research, and pathologies is a new emerging field. Here we develop a proof-of-principal convolutional neural network-based platform to segment and extract features that might be useful for lifespan prediction.

Increased fidelity of protein synthesis extends lifespan.

Loss of proteostasis is a fundamental process driving aging. Proteostasis is affected by the accuracy of translation, yet the physiological consequence of having fewer protein synthesis errors during multi-cellular organismal aging is poorly understood. Our phylogenetic analysis of RPS23, a key protein in the ribosomal decoding center, uncovered a lysine residue almost universally conserved across all domains of life, which is replaced by an arginine in a small number of hyperthermophilic archaea.