FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313361421> ?p ?o ?g. }

• W4313361421 abstract "Background: Chronic kidney disease (CKD), characterized by sustained inflammation and immune dysfunction, is highly prevalent and can eventually progress to end-stage kidney disease. However, there is still a lack of effective and reliable diagnostic markers and therapeutic targets for CKD. Methods: First, we merged data from GEO microarrays (GSE104948 and GSE116626) to identify differentially expressed genes (DEGs) in CKD and healthy patient samples. Then, we conducted GO, KEGG, HPO, and WGCNA analyses to explore potential functions of DEGs and select clinically significant modules. Moreover, STRING was used to analyse protein-protein interactions. CytoHubba and MCODE algorithms in the cytoscape plug-in were performed to screen hub genes in the network. We then determined the diagnostic significance of the obtained hub genes by ROC and two validation datasets. Meanwhile, the expression level of the biomarkers was verified by IHC. Furthermore, we examined immunological cells' relationships with hub genes. Finally, GSEA was conducted to determine the biological functions that biomarkers are significantly enriched. STITCH and AutoDock Vina were used to predict and validate drug-gene interactions. Results: A total of 657 DEGs were screened and functional analysis emphasizes their important role in inflammatory responses and immunomodulation in CKD. Through WGCNA, the interaction network, ROC curves, and validation set, four hub genes (IL10RA, CD45, CTSS, and C1QA) were identified. Furthermore, IHC of CKD patients confirmed the results above. Immune infiltration analysis indicated that CKD had a significant increase in monocytes, M0 macrophages, and M1 macrophages but a decrease in regulatory T cells, activated dendritic cells, and so on. Moreover, four hub genes were statistically correlated with them. Further analysis exhibited that IL10RA, which obtained the highest expression level in hub genes, was involved in abnormalities in various immune cells and regulated a large number of immune system responses and inflammation-related pathways. In addition, the drug-gene interaction network contained four potential therapeutic drugs targeting IL10RA, and molecular docking might make this relationship viable. Conclusion: IL10RA and its related hub molecules might play a key role in the development of CKD and could be potential biomarkers in CKD." @default.
• W4313361421 created "2023-01-06" @default.
• W4313361421 creator A5013297039 @default.
• W4313361421 creator A5029938076 @default.
• W4313361421 creator A5030337731 @default.
• W4313361421 creator A5063863967 @default.
• W4313361421 creator A5069729226 @default.
• W4313361421 date "2022-12-30" @default.
• W4313361421 modified "2023-09-25" @default.
• W4313361421 title "Identifying effective diagnostic biomarkers and immune infiltration features in chronic kidney disease by bioinformatics and validation" @default.
• W4313361421 cites W1638108689 @default.
• W4313361421 cites W1956757576 @default.
• W4313361421 cites W1966954445 @default.
• W4313361421 cites W1967345257 @default.
• W4313361421 cites W1970637090 @default.
• W4313361421 cites W1971604855 @default.
• W4313361421 cites W1975316251 @default.
• W4313361421 cites W1978523131 @default.
• W4313361421 cites W1979517335 @default.
• W4313361421 cites W1986354946 @default.
• W4313361421 cites W1995498454 @default.
• W4313361421 cites W2000669626 @default.
• W4313361421 cites W2001634461 @default.
• W4313361421 cites W2006437412 @default.
• W4313361421 cites W2027042725 @default.
• W4313361421 cites W2028049969 @default.
• W4313361421 cites W2037514499 @default.
• W4313361421 cites W2038523160 @default.
• W4313361421 cites W2043681291 @default.
• W4313361421 cites W2047124888 @default.
• W4313361421 cites W2047225646 @default.
• W4313361421 cites W2048706422 @default.
• W4313361421 cites W2050571399 @default.
• W4313361421 cites W2056444555 @default.
• W4313361421 cites W2066086221 @default.
• W4313361421 cites W2089756265 @default.
• W4313361421 cites W2100128950 @default.
• W4313361421 cites W2101096759 @default.
• W4313361421 cites W2107665951 @default.
• W4313361421 cites W2107779094 @default.
• W4313361421 cites W2111222669 @default.
• W4313361421 cites W2114123652 @default.
• W4313361421 cites W2116432220 @default.
• W4313361421 cites W2130410032 @default.
• W4313361421 cites W2135919238 @default.
• W4313361421 cites W2142027924 @default.
• W4313361421 cites W2146512944 @default.
• W4313361421 cites W2148912594 @default.
• W4313361421 cites W2150066878 @default.
• W4313361421 cites W2163080538 @default.
• W4313361421 cites W2170134016 @default.
• W4313361421 cites W2228882116 @default.
• W4313361421 cites W2294516783 @default.
• W4313361421 cites W2300148551 @default.
• W4313361421 cites W23360501 @default.
• W4313361421 cites W2342598090 @default.
• W4313361421 cites W2415208333 @default.
• W4313361421 cites W2417792312 @default.
• W4313361421 cites W2423751324 @default.
• W4313361421 cites W2424946527 @default.
• W4313361421 cites W2504280359 @default.
• W4313361421 cites W2508227340 @default.
• W4313361421 cites W2517290330 @default.
• W4313361421 cites W2587993367 @default.
• W4313361421 cites W2614986146 @default.
• W4313361421 cites W2749885082 @default.
• W4313361421 cites W2753051611 @default.
• W4313361421 cites W2754298398 @default.
• W4313361421 cites W2788142646 @default.
• W4313361421 cites W2793744175 @default.
• W4313361421 cites W2900669699 @default.
• W4313361421 cites W2904356389 @default.
• W4313361421 cites W2913004193 @default.
• W4313361421 cites W2941682347 @default.
• W4313361421 cites W2946645851 @default.
• W4313361421 cites W2948845640 @default.
• W4313361421 cites W2950410781 @default.
• W4313361421 cites W2952220882 @default.
• W4313361421 cites W2972364266 @default.
• W4313361421 cites W2988194888 @default.
• W4313361421 cites W2997160604 @default.
• W4313361421 cites W3003860022 @default.
• W4313361421 cites W3028705302 @default.
• W4313361421 cites W3033961624 @default.
• W4313361421 cites W3048091902 @default.
• W4313361421 cites W3097076870 @default.
• W4313361421 cites W3097145107 @default.
• W4313361421 cites W3160313752 @default.
• W4313361421 cites W3165868790 @default.
• W4313361421 cites W3199503144 @default.
• W4313361421 cites W4292348526 @default.
• W4313361421 doi "https://doi.org/10.3389/fphar.2022.1069810" @default.
• W4313361421 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36642989" @default.
• W4313361421 hasPublicationYear "2022" @default.
• W4313361421 type Work @default.
• W4313361421 citedByCount "1" @default.
• W4313361421 countsByYear W43133614212023 @default.
• W4313361421 crossrefType "journal-article" @default.
• W4313361421 hasAuthorship W4313361421A5013297039 @default.
• W4313361421 hasAuthorship W4313361421A5029938076 @default.

• next