ArticleSignal transduction and targeted therapy2021
Multi-platform omics analysis reveals molecular signature for COVID-19 pathogenesis, prognosis and drug target discovery.
Article in Signal transduction and targeted therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Meta-analysis of the serum/plasma proteome identifies significant associations between COVID-19 with Alzheimer's/Parkinson's diseases.Journal of neurovirology · 2024Pooled it
- Article
- Unveiling the Mysteries of CLEC3B: Physiological Roles, Pathological Impacts, and Research Gaps.Cells · 2026Review
- Plasma multi-omics profiling unravels molecular alterations and biomarker panels during recovery from severe coronavirus disease 2019: a pilot study.BMC infectious diseases · 2026Article
- Annexin A1 and Dexamethasone Treatment in Hospitalized COVID-19 Patients: Impact on Disease Recovery and Evidence for an Interplay Between Proresolving Mediators.Biomolecules · 2026Article
- Antiviral drug discovery and development: challenges and future directions.Signal transduction and targeted therapy · 2026Review
- Targeted and untargeted cross-sectional study for sex-specific identification of plasma biomarkers of COVID-19 severity.Analytical and bioanalytical chemistry · 2026Article
- The pathogenicity and multi-organ proteomic profiles of Mpox virus infection in SIVmac239-infected rhesus macaques.Nature communications · 2025Article
- Mass Spectrometry Imaging: Revolutionizing Molecular Insights in Infectious Diseases Research.Pathogens (Basel, Switzerland) · 2025Review
- Early prediction of preeclampsia from clinical, multi-omics and laboratory data using random forest model.BMC pregnancy and childbirth · 2025Article
- Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review.Journal of translational medicine · 2025Review
- Development of a metabolome-based respiratory infection prognostic during COVID-19 arrival.mBio · 2025Article
- Prioritizing FDA approved therapeutics for treating sepsis phenotypes: A network modeling approach based on neutrophil proteomics.Frontiers in immunology · 2025Article
- Impact of SARS-CoV-2 infection on respiratory and gut microbiome stability: a metagenomic investigation in long-term-hospitalized COVID-19 patients.NPJ biofilms and microbiomes · 2024Article
- Review
- The Art of Finding the Right Drug Target: Emerging Methods and Strategies.Pharmacological reviews · 2024Review
- Multi-omics characterization of the monkeypox virus infection.Nature communications · 2024Article
- Metabolomics for Clinical Biomarker Discovery and Therapeutic Target Identification.Molecules (Basel, Switzerland) · 2024Review
- Immune characteristics of kidney transplant recipients with acute respiratory distress syndrome induced by COVID-19 at single-cell resolution.Respiratory research · 2024Article
- Bioinformatic-based Study to Investigate the Structure and Function of Pro-inflammatory Cytokines TNFα and IL-6 Involved in the Pathogenesis of COVID-19.Iranian journal of pathology · 2024Article
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Authors and funding
31 authors.
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Abstract
Disease progression prediction and therapeutic drug target discovery for Coronavirus disease 2019 (COVID-19) are particularly important, as there is still no effective strategy for severe COVID-19 patient treatment. Herein, we performed multi-platform omics analysis of serial plasma and urine samples collected from patients during the course of COVID-19. Integrative analyses of these omics data revealed several potential therapeutic targets, such as ANXA1 and CLEC3B. Molecular changes in plasma indicated dysregulation of macrophage and suppression of T cell functions in severe patients compared to those in non-severe patients. Further, we chose 25 important molecular signatures as potential biomarkers for the prediction of disease severity. The prediction power was validated using corresponding urine samples and plasma samples from new COVID-19 patient cohort, with AUC reached to 0.904 and 0.988, respectively. In conclusion, our omics data proposed not only potential therapeutic targets, but also biomarkers for understanding the pathogenesis of severe COVID-19.
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