ArticleFrontiers in medicine2021
Identification and Validation of IFI44 as Key Biomarker in Lupus Nephritis.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 31 citations in OpenAlex.
- IFI44 Promotes Clear Cell Renal Cell Carcinoma Progression via PRDX1 and Predicts Poor Prognosis.Research (Washington, D.C.) · 2026Article
- Verification of biological markers of subacute cutaneous lupus erythematosus via TMT labelling proteomics combined with transcriptome data.Annals of medicine · 2025Article
- Determining IFI44 as a key lupus nephritis's biomarker through bioinformatics and immunohistochemistry.Renal failure · 2025Article
- Spatially resolved transcriptomic profiling for glomerular and tubulointerstitial gene expression in C3 glomerulopathy.Clinical kidney journal · 2025Article
- Identification and immunoassay of biomarkers associated with T cell exhaustion in systemic lupus erythematosus.Frontiers in immunology · 2025Article
- Intestinal IFNα4 promotes 15-HETE diet-induced pulmonary hypertension.Respiratory research · 2024Article
- Biomarkers for systemic lupus erythematosus: A scoping review.Immunity, inflammation and disease · 2024Article
- Exploring the crosstalk molecular mechanisms between IgA nephropathy and Sjögren's syndrome based on comprehensive bioinformatics and immunohistochemical analyses.Clinical and experimental medicine · 2024Article
- Identification of m6A-Related Biomarkers in Systemic Lupus Erythematosus: A Bioinformation-Based Analysis.Journal of inflammation research · 2024Article
- Molecular Differences in Glomerular Compartment to Distinguish Immunoglobulin A Nephropathy and Lupus Nephritis.Journal of inflammation research · 2024Article
- Revealing common differential mRNAs, signaling pathways, and immune cells in blood, glomeruli, and tubulointerstitium of lupus nephritis patients based on transcriptomic data.Renal failure · 2023Article
- Identification of toll-like receptor 5 and acyl-CoA synthetase long chain family member 1 as hub genes are correlated with the severe forms of COVID-19 by Weighted gene co-expression network analysis.IET systems biology · 2023Article
- Shared biomarkers and immune cell infiltration signatures in ulcerative colitis and nonalcoholic steatohepatitis.Scientific reports · 2023Article
- BIRC5 Inhibition Is Associated with Pyroptotic Cell Death via Caspase3-GSDME Pathway in Lung Adenocarcinoma Cells.International journal of molecular sciences · 2023Article
- TRIM5 Promotes Systemic Lupus Erythematosus Through CD4(+) T Cells and Macrophage.International journal of general medicine · 2023Article
- Identification and Clinical Correlation Analysis of IFI44 in Systemic Lupus Erythematosus Combined with Bioinformatics and Immune Infiltration Analysis.Journal of inflammation research · 2023Article
- A network-based approach reveals long non-coding RNAs associated with disease activity in lupus nephritis: key pathways for flare and potential biomarkers to be used as liquid biopsies.Frontiers in immunology · 2023Article
- Identifying key genes in CD4Frontiers in genetics · 2022Article
- Identification of key interferon-stimulated genes for indicating the condition of patients with systemic lupus erythematosus.Frontiers in immunology · 2022Article
- Comprehensive Network-Based Analyses Reveal Novel Renal Function-Related Targets in Acute Kidney Injury.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lupus nephritis (LN) is a common and severe organ manifestation of systemic lupus erythematosus (SLE) and is a major cause of SLE related deaths. Early diagnosis is essential to improve the prognosis of patients with LN. To screen the potential biomarkers associated with LN, we downloaded the gene expression profile of GSE99967 from the Gene Expression Omnibus (GEO) database. Weighted gene co-expression network analysis (WGCNA) was utilized to construct a gene co-expression network and identify gene modules associated with LN. Gene Ontology (GO) analysis was also applied to explore the biological function of genes and identify the key module. Differentially expressed genes (DEGs) were identified and Maximal Clique Centrality (MCC) values were calculated to screen hub genes. Furthermore, we selected promising biomarkers for real-time PCR (qRT-PCR) and enzyme-linked immunosorbent assay (ELISA) validation in independent cohorts. Our results indicated that five hub genes, including IFI44, IFIT3, HERC5, RSAD2, and DDX60 play vital roles in the pathogenesis of LN. Importantly, IFI44 may considered as a key biomarker in LN for its diagnostic capabilities, which is also a promising therapeutic target in the future.
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