Characterizing the SARS-CoV-2 antibody response and associations with patient factors: Serological profiling of participants enrolled in the GENCOV study.

Introduction: The GENCOV study sought to evaluate serological differences between individuals with differing COVID-19 severity and outcomes. We assessed the SARS-CoV-2 antibody response of GENCOV participants cross-sectionally 1-, 6-, and 12-months following COVID-19 diagnosis to identify patient factors associated with more robust and durable humoral immune responses.

Materials And Methods: COVID-19 patients and a control cohort of vaccinated infection-naïve participants were recruited at hospital sites across the Greater Toronto Area in Ontario, Canada.

The interdependence of depressive symptoms and sleep in dyads affected by cancer.

Objective: To examine the rates as well as the interdependence of depressive symptoms and sleep problems in patients with cancer and their intimate partner family caregivers.

Method: Patients diagnosed with cancer (69.3 years old, 56.

Developing an initial programme theory for a model of social care in prisons and on release (empowered together): A realist synthesis approach.

Many people are living in prison with a range of social care needs, for example, requiring support with washing, eating, getting around safely, and/or maintaining relationships. However, social care for this vulnerable group is generally inadequate. There is uncertainty and confusion about who is legally responsible for this and how it can best be provided, and a lack of integration with healthcare.

Systematic analysis of proteome turnover in an organoid model of pancreatic cancer by dSILO.

The role of protein turnover in pancreatic ductal adenocarcinoma (PDA) metastasis has not been previously investigated. We introduce dynamic stable-isotope labeling of organoids (dSILO): a dynamic SILAC derivative that combines a pulse of isotopically labeled amino acids with isobaric tandem mass-tag (TMT) labeling to measure proteome-wide protein turnover rates in organoids. We applied it to a PDA model and discovered that metastatic organoids exhibit an accelerated global proteome turnover compared to primary tumor organoids.