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Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury
BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is one of the most frequent and serious complications of sepsis. However, the transcriptional regulatory network of the pathophysiological mechanism of the kidney has not been revealed. This study identified new mechanisms in SA-AKI using bi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358506/ https://www.ncbi.nlm.nih.gov/pubmed/35957725 http://dx.doi.org/10.21037/atm-22-845 |
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author | Liu, Boyang Ao, Shengxiang Tan, Fang Ma, Wei Liu, Haoru Liang, Huaping Yang, Xia Chi, Xinjin |
author_facet | Liu, Boyang Ao, Shengxiang Tan, Fang Ma, Wei Liu, Haoru Liang, Huaping Yang, Xia Chi, Xinjin |
author_sort | Liu, Boyang |
collection | PubMed |
description | BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is one of the most frequent and serious complications of sepsis. However, the transcriptional regulatory network of the pathophysiological mechanism of the kidney has not been revealed. This study identified new mechanisms in SA-AKI using bioinformatics analyses and laboratory-based experiments. METHODS: We performed transcriptomic profiling of mouse kidneys after cecal ligation and puncture (CLP) to mimic clinical sepsis. RNA from kidney samples from the CLP and control groups was isolated and analyzed using bulk messenger RNA (mRNA)-seq. Differentially expressed genes (DEGs) between the two groups were identified, and GO, KEGG and GSEA pathway enrichment analyses were performed. The protein-protein interaction (PPI) network of DEGs and hub genes was analyzed. The hub genes were verified using quantitative real-time polymerase chain reaction (qPCR) or Western blotting. The interaction network, targeted microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) of hub genes were predicted, and the critical miRNA-hub gene regulatory axis was verified using qPCR, Western blotting, malondialdehyde (MDA) determination and flow cytometry. Correlation analyses of N6-adenosine methylation (m6A) RNA methylation regulators and hub genes and m6A modification analysis were performed. RESULTS: A total of 4,754 DEGs were identified between the two groups using high-throughput sequencing. The pathways in which DEGs were enriched included ferroptosis (the highest enrichment score), apoptosis, and the PI3K-Akt, NF-kappa B and IL-17 signaling pathways. Seven (Hmox1, Spp1, Socs3, Mapk14, Lcn2, Cxcl1 and Cxcl12) of the 15 hub genes were involved in the KEGG pathway. mmu-miR-7212-5p-Hmox1 was a key RNA regulatory axis in ferroptosis. m6A RNA methylation modifications were involved in SA-AKI. The correlation analyses showed the close interactions among the m6A RNA methylation regulators and important hub genes. CONCLUSIONS: The findings of this study provide new insights into the mechanism regulating the occurrence and progression of SA-AKI. The mmu-miR-7212-5p-Hmox1 axis in ferroptosis and m6A RNA methylation regulators may have potential clinical significance for the future treatment of SA-AKI. The datasets generated for this study can be found in the repository of the GEO database (Series number: GSE186822). |
format | Online Article Text |
id | pubmed-9358506 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-93585062022-08-10 Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury Liu, Boyang Ao, Shengxiang Tan, Fang Ma, Wei Liu, Haoru Liang, Huaping Yang, Xia Chi, Xinjin Ann Transl Med Original Article BACKGROUND: Sepsis-associated acute kidney injury (SA-AKI) is one of the most frequent and serious complications of sepsis. However, the transcriptional regulatory network of the pathophysiological mechanism of the kidney has not been revealed. This study identified new mechanisms in SA-AKI using bioinformatics analyses and laboratory-based experiments. METHODS: We performed transcriptomic profiling of mouse kidneys after cecal ligation and puncture (CLP) to mimic clinical sepsis. RNA from kidney samples from the CLP and control groups was isolated and analyzed using bulk messenger RNA (mRNA)-seq. Differentially expressed genes (DEGs) between the two groups were identified, and GO, KEGG and GSEA pathway enrichment analyses were performed. The protein-protein interaction (PPI) network of DEGs and hub genes was analyzed. The hub genes were verified using quantitative real-time polymerase chain reaction (qPCR) or Western blotting. The interaction network, targeted microRNAs (miRNAs) and long noncoding RNAs (lncRNAs) of hub genes were predicted, and the critical miRNA-hub gene regulatory axis was verified using qPCR, Western blotting, malondialdehyde (MDA) determination and flow cytometry. Correlation analyses of N6-adenosine methylation (m6A) RNA methylation regulators and hub genes and m6A modification analysis were performed. RESULTS: A total of 4,754 DEGs were identified between the two groups using high-throughput sequencing. The pathways in which DEGs were enriched included ferroptosis (the highest enrichment score), apoptosis, and the PI3K-Akt, NF-kappa B and IL-17 signaling pathways. Seven (Hmox1, Spp1, Socs3, Mapk14, Lcn2, Cxcl1 and Cxcl12) of the 15 hub genes were involved in the KEGG pathway. mmu-miR-7212-5p-Hmox1 was a key RNA regulatory axis in ferroptosis. m6A RNA methylation modifications were involved in SA-AKI. The correlation analyses showed the close interactions among the m6A RNA methylation regulators and important hub genes. CONCLUSIONS: The findings of this study provide new insights into the mechanism regulating the occurrence and progression of SA-AKI. The mmu-miR-7212-5p-Hmox1 axis in ferroptosis and m6A RNA methylation regulators may have potential clinical significance for the future treatment of SA-AKI. The datasets generated for this study can be found in the repository of the GEO database (Series number: GSE186822). AME Publishing Company 2022-07 /pmc/articles/PMC9358506/ /pubmed/35957725 http://dx.doi.org/10.21037/atm-22-845 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Liu, Boyang Ao, Shengxiang Tan, Fang Ma, Wei Liu, Haoru Liang, Huaping Yang, Xia Chi, Xinjin Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury |
title | Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury |
title_full | Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury |
title_fullStr | Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury |
title_full_unstemmed | Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury |
title_short | Transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury |
title_sort | transcriptomic analysis and laboratory experiments reveal potential critical genes and regulatory mechanisms in sepsis-associated acute kidney injury |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358506/ https://www.ncbi.nlm.nih.gov/pubmed/35957725 http://dx.doi.org/10.21037/atm-22-845 |
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