ArticleJournal of cellular and molecular medicine2021
Identification of key candidate biomarkers for severe influenza infection by integrated bioinformatical analysis and initial clinical validation.
Article in Journal of cellular and molecular medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 32 citations in OpenAlex.
- Identification of neutrophil-related genes associated with the severity of RSV infection.Microbiology spectrum · 2026Article
- Diagnostic Usefulness of SP-D, CCL2/MCP-1, and IL-18 in Assessing Respiratory Function and Risk of Pulmonary Fibrosis in COVID-19 Patients.International journal of molecular sciences · 2026Article
- Review
- Validation of Lung [Molecular imaging and biology · 2025Article
- Circulating NET Biomarkers as Predictors of Inflammatory Storm Escalation and Critical Illness in COVID-19.Journal of microbiology and biotechnology · 2025Article
- Increased circulating levels of SP-D and IL-10 are associated with the development of disease severity and pulmonary fibrosis in patients with COVID-19.Frontiers in immunology · 2025Article
- Deficient neutrophil responses early in influenza infection promote viral replication and pulmonary inflammation.PLoS pathogens · 2025Article
- High-dimensional single-cell phenotyping unveils persistent differences in immune cell profiles between severe and moderate seasonal influenza.Frontiers in immunology · 2025Article
- Identification and Validation of Potential Biomarkers and Therapeutic Targets of COVID-19-related Depression.Combinatorial chemistry & high throughput screening · 2025Article
- Gene Expression Dysregulation in Whole Blood of Patients withInternational journal of molecular sciences · 2024Article
- Novel Core Gene Signature Associated with Inflammation-to-Metaplasia Transition in Influenza A Virus-Infected Lungs.International journal of molecular sciences · 2024Article
- Signature Proteins in Small Extracellular Vesicles of Granulocytes and CD4International journal of molecular sciences · 2024Article
- Development and validation of a nomogram to predict severe influenza.Immunity, inflammation and disease · 2024Article
- Integrated Bioinformatics Exploration and Preliminary Clinical Verification for the Identification of Crucial Biomarkers in Severe Cases of COVID-19.Journal of inflammation research · 2024Article
- Host response to influenza infections in human blood: association of influenza severity with host genetics and transcriptomic response.Frontiers in immunology · 2024Article
- [Bioinformatics analysis of primary biliary cholangitis key genes and molecular mechanisms].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2023Article
- A signature of immune-related genes correlating with clinical prognosis and immune microenvironment in sepsis.BMC bioinformatics · 2023Article
- Transcriptomic profiles of multiple organ dysfunction syndrome phenotypes in pediatric critical influenza.Frontiers in immunology · 2023Article
- Cycling and activated CD8BMC immunology · 2022Article
- Severe, but not moderate asthmatics share blood transcriptomic changes with post-traumatic stress disorder and depression.PloS one · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
One of the key barriers for early identification and intervention of severe influenza cases is a lack of reliable immunologic indicators. In this study, we utilized differentially expressed genes screening incorporating weighted gene co-expression network analysis in one eligible influenza GEO data set (GSE111368) to identify hub genes associated with clinical severity. A total of 10 genes (PBI, MMP8, TCN1, RETN, OLFM4, ELANE, LTF, LCN2, DEFA4 and HP) were identified. Gene set enrichment analysis (GSEA) for single hub gene revealed that these genes had a close association with antimicrobial response and neutrophils activity. To further evaluate these genes' ability for diagnosis/prognosis of disease developments, we adopted double validation with (a) another new independent data set (GSE101702); and (b) plasma samples collected from hospitalized influenza patients. We found that 10 hub genes presented highly correlation with disease severity. In particular, BPI and MMP8 encoding proteins in plasma achieved higher expression in severe and dead cases, which indicated an adverse disease development and suggested a frustrating prognosis. These findings provide new insight into severe influenza pathogenesis and identify two significant candidate genes that were superior to the conventional clinical indicators. These candidate genes or encoding proteins could be biomarker for clinical diagnosis and therapeutic targets for severe influenza infection.
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