Sex Differences in Long COVID.

Importance: A substantial number of individuals worldwide experience long COVID, or post-COVID condition. Other postviral and autoimmune conditions have a female predominance, but whether the same is true for long COVID, especially within different subgroups, is uncertain.

Objective: To evaluate sex differences in the risk of developing long COVID among adults with SARS-CoV-2 infection.

Data from a multi-year targeted proteomics study of a longitudinal birth cohort of type 1 diabetes.

The deployment of liquid chromatography-mass spectrometry-based plasma proteomics experiments in a large cohort is sparse, leading to a lack of data available for benchmarking, method development or validation. Comprised of 6,426 plasma analyses, The Environmental Determinants of Diabetes in the Young (TEDDY) proteomics validation study constitutes one of the largest targeted proteomics experiments in the literature to date. The proteomics data from this study were generated over the course of 2.

Postpartum Pharmacologic Thromboprophylaxis and Venous Thromboembolism in a U.S. Cohort.

Objective: To evaluate the effect of administering postpartum heparin-based pharmacologic thromboprophylaxis on the incidence of postpartum venous thromboembolism (VTE) and complications.

Methods: This was a multicenter retrospective cohort study of all individuals delivering at more than 20 weeks of gestation at four U.S.

Metabolomic and transcriptomic remodeling of bone marrow myeloid cells in response to maternal obesity.

Maternal obesity puts the offspring at high risk of developing obesity and cardio-metabolic diseases in adulthood. Here, we utilized a mouse model of maternal high-fat diet (HFD)-induced obesity that recapitulates metabolic perturbations seen in humans. We show increased adiposity in the offspring of HFD-fed mothers (Off-HFD) when compared to the offspring regular diet-fed mothers (Off-RD).

Introducing "Identification Probability" for Automated and Transferable Assessment of Metabolite Identification Confidence in Metabolomics and Related Studies.

Methods for assessing compound identification confidence in metabolomics and related studies have been debated and actively researched for the past two decades. The earliest effort in 2007 focused primarily on mass spectrometry and nuclear magnetic resonance spectroscopy and resulted in four recommended levels of metabolite identification confidence─the Metabolite Standards Initiative (MSI) Levels. In 2014, the original MSI Levels were expanded to five levels (including two sublevels) to facilitate communication of compound identification confidence in high resolution mass spectrometry studies.