Organ and cell-specific biomarkers of Long-COVID identified with targeted proteomics and machine learning.

ABSTRACT:

Background

Survivors of acute COVID-19 often suffer prolonged, diffuse symptoms post-infection, referred to as "Long-COVID". A lack of Long-COVID biomarkers and pathophysiological mechanisms limits effective diagnosis, treatment and disease surveillance. We performed targeted proteomics and machine learning analyses to identify novel blood biomarkers of Long-COVID.

Methods

A case-control study comparing the expression of 2925 unique blood proteins in Long-COVID outpatients versus COVID-19 inpatients and healthy control subjects. Targeted proteomics was accomplished with proximity extension assays, and machine learning was used to identify the most important proteins for identifying Long-COVID patients. Organ system and cell type expression patterns were identified with Natur

SUBMITTER: Patel MA 

PROVIDER: S-EPMC9942653 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature