Body composition estimates from bioelectrical impedance and its association with cardiovascular risk.

Background:  Screening for traditional risk factors of cardiovascular disease is well known in primary healthcare (PHC) settings. However, other risk factors through newer tools (such as bioelectrical impedance analysis [BIA]) could also be predictors of increased cardiovascular risk (CVR). Body composition estimates (body fat percentage, body water percentage, body lean mass) by BIA and its association to CVR have been studied with variable results.

A rapid assessment of depressive and anxious symptoms among university students during the COVID-19 public health emergency: A repeated cross-sectional analysis.

Objectives: To identify potential associations between student characteristics and mental health symptoms during the early parts of the pandemic.

Participants: 3,883 students at a large public university on the West Coast of the United States.

Methods: We conducted a repeated cross-sectional survey to assess health-protective behaviors, mental health, social support, and stigma resistance.

Clonal landscape of autoantibody-secreting plasmablasts in COVID-19 patients.

Whereas severe COVID-19 is often associated with elevated autoantibody titers, the underlying mechanism behind their generation has remained unclear. Here we report clonal composition and diversity of autoantibodies in humoral response to SARS-CoV-2. Immunoglobulin repertoire analysis and characterization of plasmablast-derived monoclonal antibodies uncovered clonal expansion of plasmablasts producing cardiolipin (CL)-reactive autoantibodies.

Enhancing CRC Screening in a Predominantly Hispanic Community: Effectiveness of 1-Day vs. 3-Day Stool-Based Testing Kits.

Colorectal cancer (CRC) is the leading cause of cancer-related mortality among U.S. Hispanics, with screening proven to decrease both incidence and mortality.

Atypical and non-classical CD45RB memory B cells are the majority of circulating SARS-CoV-2 specific B cells following mRNA vaccination or COVID-19.

Resting memory B cells can be divided into classical or atypical groups, but the heterogenous marker expression on activated memory B cells makes similar classification difficult. Here, by longitudinal analysis of mass cytometry and CITE-seq data from cohorts with COVID-19, bacterial sepsis, or BNT162b2 mRNA vaccine, we observe that resting B cell memory consist of classical CD45RB memory and CD45RB memory, of which the latter contains of two distinct groups of CD11c atypical and CD23 non-classical memory cells. CD45RB levels remain stable in these cells after activation, thereby enabling the tracking of activated B cells and plasmablasts derived from either CD45RB or CD45RB memory B cells.