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A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the global most common chronic liver disease. Non-alcoholic steatohepatitis (NASH), an inflammatory subtype of NAFLD, has been shown to significantly increase the risk of colorectal adenoma (CRA). Therefore, from the perspective of bioinformat...

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Autores principales: Mo, Jiahao, Liu, Chang, Li, Zhuolin, Fan, Longxiu, Wu, Shaohua, Husain, Hatim, Zhong, Cailing, Zhang, Beiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502531/
https://www.ncbi.nlm.nih.gov/pubmed/37720432
http://dx.doi.org/10.21037/jgo-23-502
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author Mo, Jiahao
Liu, Chang
Li, Zhuolin
Fan, Longxiu
Wu, Shaohua
Husain, Hatim
Zhong, Cailing
Zhang, Beiping
author_facet Mo, Jiahao
Liu, Chang
Li, Zhuolin
Fan, Longxiu
Wu, Shaohua
Husain, Hatim
Zhong, Cailing
Zhang, Beiping
author_sort Mo, Jiahao
collection PubMed
description BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the global most common chronic liver disease. Non-alcoholic steatohepatitis (NASH), an inflammatory subtype of NAFLD, has been shown to significantly increase the risk of colorectal adenoma (CRA). Therefore, from the perspective of bioinformatics analysis, the potential mechanisms of NASH/NAFLD-CRA can be explored. METHODS: In this study, we screened the differentially expressed genes (DEGs) and core effect pathways between NASH and CRA by analyzing the single-cell data of CRA patients and the high-throughput sequencing data (GSE37364 and GSE89632) in the online database. We screened therapeutic targets and biomarkers through gene function classification, pathway enrichment analysis, and protein-protein interaction network analysis. In terms of single cell data, we screened the core effect pathway and specific signal pathway of cell communication through cell annotation and cell communication analyses. The purpose of the study was to find potential biomarkers, therapeutic targets, and related effect pathways of NASH-CRA. RESULTS: NASH-CRA comorbidities were concentrated in inflammatory regulation-related pathways, and the core genes of disease progression included IL1B, FOSL1, EGR1, MYC, PTGS2, and FOS. The results suggested the key pathway of NASH-CRA might be the WNT pathway. The main cell signal communication pathways included WNT2B − (FZD6 + LRP5) and WNT2B − (FZD6 + LRP6). The send-receive process occurred in embryonic stem cells. CONCLUSIONS: The core genes of NASH-CRA (FOS, EGR1, MYC, PTGS2, FOSL1, and IL1B) may participate in inflammation and immune responses through up-regulation in the process of disease occurrence, interfering with the pathophysiological process of CRA and NASH. NASH-CRA produces cell signal communication in the WNT pathway sent by WNT2B and received by FZD6, LRP5, and LRP6 in embryonic stem cells. These findings may help formulate early diagnosis and treatment strategies for CRA in NAFLD/NASH patients, and further explore corresponding prognostic markers and potential approaches. The significance of scRNA-seq in exploring tumor heterogeneity lies in promoting our understanding of the expression program of tumor related genes in tumor development patterns. However, the biggest challenge is that this analysis may miss out on some biologically significant gene expression programs.
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spelling pubmed-105025312023-09-16 A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq Mo, Jiahao Liu, Chang Li, Zhuolin Fan, Longxiu Wu, Shaohua Husain, Hatim Zhong, Cailing Zhang, Beiping J Gastrointest Oncol Original Article BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is the global most common chronic liver disease. Non-alcoholic steatohepatitis (NASH), an inflammatory subtype of NAFLD, has been shown to significantly increase the risk of colorectal adenoma (CRA). Therefore, from the perspective of bioinformatics analysis, the potential mechanisms of NASH/NAFLD-CRA can be explored. METHODS: In this study, we screened the differentially expressed genes (DEGs) and core effect pathways between NASH and CRA by analyzing the single-cell data of CRA patients and the high-throughput sequencing data (GSE37364 and GSE89632) in the online database. We screened therapeutic targets and biomarkers through gene function classification, pathway enrichment analysis, and protein-protein interaction network analysis. In terms of single cell data, we screened the core effect pathway and specific signal pathway of cell communication through cell annotation and cell communication analyses. The purpose of the study was to find potential biomarkers, therapeutic targets, and related effect pathways of NASH-CRA. RESULTS: NASH-CRA comorbidities were concentrated in inflammatory regulation-related pathways, and the core genes of disease progression included IL1B, FOSL1, EGR1, MYC, PTGS2, and FOS. The results suggested the key pathway of NASH-CRA might be the WNT pathway. The main cell signal communication pathways included WNT2B − (FZD6 + LRP5) and WNT2B − (FZD6 + LRP6). The send-receive process occurred in embryonic stem cells. CONCLUSIONS: The core genes of NASH-CRA (FOS, EGR1, MYC, PTGS2, FOSL1, and IL1B) may participate in inflammation and immune responses through up-regulation in the process of disease occurrence, interfering with the pathophysiological process of CRA and NASH. NASH-CRA produces cell signal communication in the WNT pathway sent by WNT2B and received by FZD6, LRP5, and LRP6 in embryonic stem cells. These findings may help formulate early diagnosis and treatment strategies for CRA in NAFLD/NASH patients, and further explore corresponding prognostic markers and potential approaches. The significance of scRNA-seq in exploring tumor heterogeneity lies in promoting our understanding of the expression program of tumor related genes in tumor development patterns. However, the biggest challenge is that this analysis may miss out on some biologically significant gene expression programs. AME Publishing Company 2023-08-09 2023-08-31 /pmc/articles/PMC10502531/ /pubmed/37720432 http://dx.doi.org/10.21037/jgo-23-502 Text en 2023 Journal of Gastrointestinal Oncology. 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
Mo, Jiahao
Liu, Chang
Li, Zhuolin
Fan, Longxiu
Wu, Shaohua
Husain, Hatim
Zhong, Cailing
Zhang, Beiping
A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq
title A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq
title_full A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq
title_fullStr A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq
title_full_unstemmed A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq
title_short A bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scRNA-seq and bulk-seq
title_sort bioinformatics analysis of potential cellular communication networks in non-alcoholic steatohepatitis and colorectal adenoma using scrna-seq and bulk-seq
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502531/
https://www.ncbi.nlm.nih.gov/pubmed/37720432
http://dx.doi.org/10.21037/jgo-23-502
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