Cargando…

Identification of key cuproptosis-related genes and their targets in patients with IgAN

BACKGROUND: IgA nephropathy (IgAN) is one of the most common forms of chronic glomerulonephritis, but the aetiology and pathogenesis remain unclear. Cuproptosis is a newly identified form of cell death that plays an important role in many diseases. Researchers have not clearly determined whether the...

Descripción completa

Detalles Bibliográficos
Autores principales: Lin, Huagang, Wu, Deping, Xiao, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635123/
https://www.ncbi.nlm.nih.gov/pubmed/36329405
http://dx.doi.org/10.1186/s12882-022-02991-5
_version_ 1784824640877625344
author Lin, Huagang
Wu, Deping
Xiao, Jing
author_facet Lin, Huagang
Wu, Deping
Xiao, Jing
author_sort Lin, Huagang
collection PubMed
description BACKGROUND: IgA nephropathy (IgAN) is one of the most common forms of chronic glomerulonephritis, but the aetiology and pathogenesis remain unclear. Cuproptosis is a newly identified form of cell death that plays an important role in many diseases. Researchers have not clearly determined whether the expression of cuproptosis-related genes (CRGs) is involved in the pathogenesis of IgAN. METHODS: The GSE93798, GSE50469 and GSE37460 datasets containing microarray data from patients with IgAN (63) and healthy controls (31) were downloaded from the GEO database. Immune cells and immune-related functions were analysed in patients with IgAN and controls, and genes were identified that may be related to cuproptosis. A logistic regression model was established according to the results, and then GO and KEGG enrichment analyses were performed. Finally, possible drugs were selected using the DSigDB database. RESULTS: The subjects in the different groups showed significantly different fractions of immune cells and immune-related functions, and 11 genes related to cuproptosis may be involved in these processes. Based on these 11 genes, the ROC curve was plotted, and the AUC value was calculated (0.898, 95% CI: 0.839–0.958). The result revealed good predictability. Then, genes with P < 0.05 (lipoyltransferase 1, LIPT1) were selected to plot an ROC curve, and the AUC value was calculated (0.729, 95% CI: 0.636–0.821). Enrichment analyses showed that the TCA cycle and multiple metabolic pathways may also be involved in the occurrence of IgAN. Finally, 293 potential drugs that may be used to treat IgAN were identified based on these genes. CONCLUSION: In this study, we identified some novel CRGs that may be involved in IgAN, among which LIPT1 was significantly differentially expressed. It may predict the risk of IgAN and provides a possible target for the treatment of IgAN. Further experimental studies are needed to explore how these CRGs mediate the occurrence and development of IgAN.
format Online
Article
Text
id pubmed-9635123
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-96351232022-11-05 Identification of key cuproptosis-related genes and their targets in patients with IgAN Lin, Huagang Wu, Deping Xiao, Jing BMC Nephrol Research BACKGROUND: IgA nephropathy (IgAN) is one of the most common forms of chronic glomerulonephritis, but the aetiology and pathogenesis remain unclear. Cuproptosis is a newly identified form of cell death that plays an important role in many diseases. Researchers have not clearly determined whether the expression of cuproptosis-related genes (CRGs) is involved in the pathogenesis of IgAN. METHODS: The GSE93798, GSE50469 and GSE37460 datasets containing microarray data from patients with IgAN (63) and healthy controls (31) were downloaded from the GEO database. Immune cells and immune-related functions were analysed in patients with IgAN and controls, and genes were identified that may be related to cuproptosis. A logistic regression model was established according to the results, and then GO and KEGG enrichment analyses were performed. Finally, possible drugs were selected using the DSigDB database. RESULTS: The subjects in the different groups showed significantly different fractions of immune cells and immune-related functions, and 11 genes related to cuproptosis may be involved in these processes. Based on these 11 genes, the ROC curve was plotted, and the AUC value was calculated (0.898, 95% CI: 0.839–0.958). The result revealed good predictability. Then, genes with P < 0.05 (lipoyltransferase 1, LIPT1) were selected to plot an ROC curve, and the AUC value was calculated (0.729, 95% CI: 0.636–0.821). Enrichment analyses showed that the TCA cycle and multiple metabolic pathways may also be involved in the occurrence of IgAN. Finally, 293 potential drugs that may be used to treat IgAN were identified based on these genes. CONCLUSION: In this study, we identified some novel CRGs that may be involved in IgAN, among which LIPT1 was significantly differentially expressed. It may predict the risk of IgAN and provides a possible target for the treatment of IgAN. Further experimental studies are needed to explore how these CRGs mediate the occurrence and development of IgAN. BioMed Central 2022-11-03 /pmc/articles/PMC9635123/ /pubmed/36329405 http://dx.doi.org/10.1186/s12882-022-02991-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Lin, Huagang
Wu, Deping
Xiao, Jing
Identification of key cuproptosis-related genes and their targets in patients with IgAN
title Identification of key cuproptosis-related genes and their targets in patients with IgAN
title_full Identification of key cuproptosis-related genes and their targets in patients with IgAN
title_fullStr Identification of key cuproptosis-related genes and their targets in patients with IgAN
title_full_unstemmed Identification of key cuproptosis-related genes and their targets in patients with IgAN
title_short Identification of key cuproptosis-related genes and their targets in patients with IgAN
title_sort identification of key cuproptosis-related genes and their targets in patients with igan
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635123/
https://www.ncbi.nlm.nih.gov/pubmed/36329405
http://dx.doi.org/10.1186/s12882-022-02991-5
work_keys_str_mv AT linhuagang identificationofkeycuproptosisrelatedgenesandtheirtargetsinpatientswithigan
AT wudeping identificationofkeycuproptosisrelatedgenesandtheirtargetsinpatientswithigan
AT xiaojing identificationofkeycuproptosisrelatedgenesandtheirtargetsinpatientswithigan