Blood transcriptomics reveal persistent SARS-CoV-2 RNA and candidate biomarkers in Long COVID patients

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Abstract

With an estimated 65 million individuals suffering from Long COVID, validated therapeutic strategies as well as non-invasive biomarkers are direly needed to guide clinical management. We used blood digital transcriptomics in search of viral persistence and Long COVID diagnostic biomarkers in a real-world, general practice-based setting with a long clinical follow-up. We demonstrate systemic SARS-CoV-2 persistence for more than 2 years after acute COVID-19 infection. A 2-gene biomarker, including FYN and SARS-CoV-2 antisense RNA, correctly classifies Long COVID with 93.8% sensitivity and 91.7% specificity. Specific immune transcripts and immunometabolism score correlate to systemic viral load and patient-reported anxiety/depression, providing mechanistic links as well as therapeutic targets to tackle Long COVID.

Article activity feed

  1. Ioan Ovidiu Sirbu

    Review 2: "Blood Transcriptomics Reveal Persistent SARS-CoV-2 RNA and Candidate Biomarkers in Long COVID Patients"

    Reviewers posed concerns regarding sample size, the statistical methods used, and some lack of important details in the written report.

  2. Slim Fourati

    Review 1: "Blood Transcriptomics Reveal Persistent SARS-CoV-2 RNA and Candidate Biomarkers in Long COVID Patients"

    Reviewers posed concerns regarding sample size, the statistical methods used, and some lack of important details in the written report.

  3. Strength of evidence

    Reviewers: S Fourati (Northwestern University) | 📒📒📒 ◻️◻️
    I O Sirbu (University of Medicine and Pharmacy from Timisoara) | 📗📗📗📗◻️
    S Brüningk (University of Zurich) | 📒📒📒 ◻️◻️