Dataset Information

Multi-omics identify LRRC15 as a COVID-19 severity predictor and persistent pro-thrombotic signals in convalescence

ABSTRACT: We performed longitudinal blood sampling of end-stage kidney disease (ESKD) patients with COVID-19, collecting samples pre-infection and serially during infection. SomaLogic proteomics data were generated for two cohorts. The Wave 1 cohort consists of samples collected from ESKD patients during the first wave of COVID-19 in early 2020, while samples were collected for the Wave 2 cohort in the following year. A full analysis of the dataset is presented in the Nature Communications manuscript (https://doi.org/10.1038/s41467-022-35454-4).

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Jack Gisby

LAB HEAD: James E. Peters

PROVIDER: PAD000003 | Pride | 2025-03-17

REPOSITORIES: Pride

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Multi-omics identify falling LRRC15 as a COVID-19 severity marker and persistent pro-thrombotic signals in convalescence.

Gisby Jack S JS Buang Norzawani B NB Papadaki Artemis A Clarke Candice L CL Malik Talat H TH Medjeral-Thomas Nicholas N Pinheiro Damiola D Mortimer Paige M PM Lewis Shanice S Sandhu Eleanor E McAdoo Stephen P SP Prendecki Maria F MF Willicombe Michelle M Pickering Matthew C MC Botto Marina M Thomas David C DC Peters James E JE

Nature communications 20221215 1

Patients with end-stage kidney disease (ESKD) are at high risk of severe COVID-19. Here, we perform longitudinal blood sampling of ESKD haemodialysis patients with COVID-19, collecting samples pre-infection, serially during infection, and after clinical recovery. Using plasma proteomics, and RNA-sequencing and flow cytometry of immune cells, we identify transcriptomic and proteomic signatures of COVID-19 severity, and find distinct temporal molecular profiles in patients with severe disease. Sup ...[more]

PMID: 36522333

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	sample_technical_meta.csv	Csv