ArticleOpen medicine (Warsaw, Poland)2022
Rack1 regulates pro-inflammatory cytokines by NF-κB in diabetic nephropathy.
Article in Open medicine (Warsaw, Poland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- NF-κB p65 mediated lnc-Traf3ip2 exacerbates renal fibrosis in diabetic kidney disease.Acta diabetologica · 2025Article
- Screening and identification of protein interacting with goose astrovirus.Frontiers in cellular and infection microbiology · 2025Article
- RACK1 and NEK7 mediate GSDMD-dependent macrophage pyroptosis upon Streptococcus suis infection.Veterinary research · 2024Article
- Cytosolic Hmgb1 accumulation in mesangial cells aggravates diabetic kidney disease progression via NFκB signaling pathway.Cellular and molecular life sciences : CMLS · 2024Article
- Molecular Cloning, Characterization, and Expression of a Receptor for Activated Protein Kinase C1 (RACK1) Gene inBiology · 2024Article
- Tanshinone IIA Promoted Autophagy and Inhibited Inflammation to Alleviate Podocyte Injury in Diabetic Nephropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- RACK1 mediates NLRP3 inflammasome activation during Pasteurella multocida infection.Veterinary research · 2023Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic nephropathy (DN) is one of the chronic microvascular diseases of diabetes. Studies revealed that inflammation is involved in the development of DN. However, its mechanisms are not fully clear. Here, we screened DN-related mRNAs by RNA sequencing in the renal tissues of db/db DN mice and normal control mice. The Swiss-Model, ZDOCK 3.0.2 and PyMOL 2.3.2 were applied for bioinformatics analysis. In total, we obtained 6,820 mRNAs that were dysexpressed in DN. Among them, Receptor for Activated C Kinase 1 (Rack1) was focused on for its high fold changes and high values of fragments per kilobase million (FPKM) in both two groups (FPKM >100). Moreover, Rack1 was highly expressed in DN
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