ArticleRenal failure2022
Identification of differentially expressed genes and pathways in kidney of ANCA-associated vasculitis by integrated bioinformatics analysis.
Article in Renal failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- The association between serum lipids at diagnosis and renal outcome in microscopic polyangiitis patients.PeerJ · 2025Article
- Integrated bioinformatic analysis of the shared molecular mechanisms between ANCA-associated vasculitis and atherosclerosis.Arthritis research & therapy · 2024Article
- Lymphatic vessels in patients with crescentic glomerulonephritis: association with renal pathology and prognosis.Journal of nephrology · 2024Article
- Title: Bioinformatic Identification of Genes Involved in Diabetic Nephropathy Fibrosis and their Clinical Relevance.Biochemical genetics · 2023Article
- Antineutrophil cytoplasmic antibody‑associated vasculitis complicated with oral and maxillofacial space infection in a young woman: A case report.Experimental and therapeutic medicine · 2023Article
- Predicting bacterial infection risk in patients with ANCA-associated vasculitis in southwest China: development of a new nomogram.Clinical rheumatology · 2022Article
- Protective effects of budesonide on LPS-induced podocyte injury by modulating macrophage M1/M2 polarization: Evidence fromExperimental and therapeutic medicine · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systematic of relatively rare autoimmune diseases with unknown cause. Kidney involvement is one of the most common clinical manifestations, and the degree of renal damage is closely associated with the development and prognosis of AAV. In this study, we utilized the Robust Rank Aggreg (RRA) method in R to integrate GSE104948, GSE104954, GSE108109, GSE108112, and GSE108113 profile datasets loaded from Gene Expression Omnibus (GEO) database and identified a set of differentially expressed genes (DEGs) in kidney between AAV patients and living donors. Then, the results of gene ontology (GO) functional annotation showed that immunity and metabolism involved process of AAV both in glomerulus and tubulointerstitial. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed that following pathways, such as complement and coagulation cascades pathway;
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