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Whole blood transcriptome signature predicts severe forms of COVID-19: Results from the COVIDeF cohort study

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NIAID Data Ecosystem2026-05-02 收录
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https://www.omicsdi.org/dataset/biostudies-other/S-BSST1135
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资源简介:
COVID-19 is associated with heterogeneous outcome. Early identification of a severe progression of the disease is essential to properly manage the patients and improve their outcome. Biomarkers reflecting an increased inflammatory response, as well as individual features including advanced age, male gender, and pre-existing comorbidities, are risk factors of severe COVID-19. Yet, these features show limited accuracy for outcome prediction. We hypothesized that whole blood transcriptome could have a prognostic value at an early stage of the disease. Blood transcriptome of patients with mild pneumonia was profiled. Patients with subsequent severe COVID-19 were compared to those with favourable outcome, and a molecular predictor based on gene expression was built.
创建时间:
2024-09-29
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