Construction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model
Chenglin Ye,1 Sizhe Zhu,2 Jingping Yuan1 1Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China; 2Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei, People’s Republ...
Guardado en:
| Autores principales: | , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Dove Medical Press
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/d1337234d60043df83c1e4cce5c2b79d |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:d1337234d60043df83c1e4cce5c2b79d |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:d1337234d60043df83c1e4cce5c2b79d2021-12-02T19:17:36ZConstruction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model1178-7031https://doaj.org/article/d1337234d60043df83c1e4cce5c2b79d2021-12-01T00:00:00Zhttps://www.dovepress.com/construction-of-cerna-network-to-reveal-potential-biomarkers-in-crohns-peer-reviewed-fulltext-article-JIRhttps://doaj.org/toc/1178-7031Chenglin Ye,1 Sizhe Zhu,2 Jingping Yuan1 1Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China; 2Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei, People’s Republic of ChinaCorrespondence: Jingping Yuan; Sizhe Zhu Email yuanjingping@whu.edu.cn; zhusizhe@hust.edu.cnPurpose: We aimed to construct a competing endogenous RNA (ceRNA) network and explore the potential biomarkers in Crohn’s disease (CD) via bioinformatics analysis. Validation of candidate biomarkers in a 2,4,6-trinitrobenzene sulfonic acid (TNBS) induced experimental colitis model and ceRNA network in an HCT116 cell line was also an aim, along with purposing to reveal the pathogenesis of CD.Methods: GSE102134 and GSE67106 datasets were obtained and used to screen the differentially expressed genes. WCGNA was applied to identify the relative model to construct the ceRNA network. Furthermore, the relationship between candidate gene and immune infiltration was investigated. Then, the expression of potential biomarkers was validated via qRT-PCR in a TNBS induced experimental colitis model. Finally, the ceRNA network was confirmed by RNAi experiments in an HCT116 cell line.Results: The ceRNA network, consisting of four lncRNAs, four miRNAs, and eight mRNAs, was constructed and the ROC analysis showed four mRNAs (PTGS2, LPL, STAT1, and TRIB2) had high diagnostic accuracy (AUC> 0.9). In addition, upregulated PTGS2 was positively correlated with immune cell infiltration, including Natural killer cells, exhausted T-cells, monocytes, and Dendritic cells. The outcome of this TNBS induced experimental colitis model verified that the expression of PTGS2 and mir-429 was consistent with results of previous bioinformatics analysis. Furthermore, the predicted ceRNA network MIR3142HG/mir-429/PTGS2 were validated via RNA interference. Knockout of MIR3142HG decreased the mRNA level of PTGS2, whereas inhibition of mir-429 increased the mRNA level of PTGS2 in the HCT116 cell line.Conclusion: The exploration of the ceRNA network in this work might contribute to understanding the pathogenesis of CD. The constructed MIR3142HG/mir-429/PTGS2 ceRNA network may play a role in CD, and PTGS2 can be a potential immune-related biomarker in CD.Keywords: Crohn’s disease, ceRNA network, bioinformatics analysis, WCGNA, validation, experimental colitis mice modelYe CZhu SYuan JDove Medical Pressarticlecrohn’s dieasecerna networkbioinformatics analysiswcgnavalidationexperimental colitis mice modelPathologyRB1-214Therapeutics. PharmacologyRM1-950ENJournal of Inflammation Research, Vol Volume 14, Pp 6447-6459 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
crohn’s diease cerna network bioinformatics analysis wcgna validation experimental colitis mice model Pathology RB1-214 Therapeutics. Pharmacology RM1-950 |
| spellingShingle |
crohn’s diease cerna network bioinformatics analysis wcgna validation experimental colitis mice model Pathology RB1-214 Therapeutics. Pharmacology RM1-950 Ye C Zhu S Yuan J Construction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model |
| description |
Chenglin Ye,1 Sizhe Zhu,2 Jingping Yuan1 1Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, People’s Republic of China; 2Department of Clinical Immunology, Tongji Hospital, Tongji Medical College, Huazhong University of Sciences and Technology, Wuhan, Hubei, People’s Republic of ChinaCorrespondence: Jingping Yuan; Sizhe Zhu Email yuanjingping@whu.edu.cn; zhusizhe@hust.edu.cnPurpose: We aimed to construct a competing endogenous RNA (ceRNA) network and explore the potential biomarkers in Crohn’s disease (CD) via bioinformatics analysis. Validation of candidate biomarkers in a 2,4,6-trinitrobenzene sulfonic acid (TNBS) induced experimental colitis model and ceRNA network in an HCT116 cell line was also an aim, along with purposing to reveal the pathogenesis of CD.Methods: GSE102134 and GSE67106 datasets were obtained and used to screen the differentially expressed genes. WCGNA was applied to identify the relative model to construct the ceRNA network. Furthermore, the relationship between candidate gene and immune infiltration was investigated. Then, the expression of potential biomarkers was validated via qRT-PCR in a TNBS induced experimental colitis model. Finally, the ceRNA network was confirmed by RNAi experiments in an HCT116 cell line.Results: The ceRNA network, consisting of four lncRNAs, four miRNAs, and eight mRNAs, was constructed and the ROC analysis showed four mRNAs (PTGS2, LPL, STAT1, and TRIB2) had high diagnostic accuracy (AUC> 0.9). In addition, upregulated PTGS2 was positively correlated with immune cell infiltration, including Natural killer cells, exhausted T-cells, monocytes, and Dendritic cells. The outcome of this TNBS induced experimental colitis model verified that the expression of PTGS2 and mir-429 was consistent with results of previous bioinformatics analysis. Furthermore, the predicted ceRNA network MIR3142HG/mir-429/PTGS2 were validated via RNA interference. Knockout of MIR3142HG decreased the mRNA level of PTGS2, whereas inhibition of mir-429 increased the mRNA level of PTGS2 in the HCT116 cell line.Conclusion: The exploration of the ceRNA network in this work might contribute to understanding the pathogenesis of CD. The constructed MIR3142HG/mir-429/PTGS2 ceRNA network may play a role in CD, and PTGS2 can be a potential immune-related biomarker in CD.Keywords: Crohn’s disease, ceRNA network, bioinformatics analysis, WCGNA, validation, experimental colitis mice model |
| format |
article |
| author |
Ye C Zhu S Yuan J |
| author_facet |
Ye C Zhu S Yuan J |
| author_sort |
Ye C |
| title |
Construction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model |
| title_short |
Construction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model |
| title_full |
Construction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model |
| title_fullStr |
Construction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model |
| title_full_unstemmed |
Construction of ceRNA Network to Reveal Potential Biomarkers in Crohn’s Disease and Validation in a TNBS Induced Mice Model |
| title_sort |
construction of cerna network to reveal potential biomarkers in crohn’s disease and validation in a tnbs induced mice model |
| publisher |
Dove Medical Press |
| publishDate |
2021 |
| url |
https://doaj.org/article/d1337234d60043df83c1e4cce5c2b79d |
| work_keys_str_mv |
AT yec constructionofcernanetworktorevealpotentialbiomarkersincrohnrsquosdiseaseandvalidationinatnbsinducedmicemodel AT zhus constructionofcernanetworktorevealpotentialbiomarkersincrohnrsquosdiseaseandvalidationinatnbsinducedmicemodel AT yuanj constructionofcernanetworktorevealpotentialbiomarkersincrohnrsquosdiseaseandvalidationinatnbsinducedmicemodel |
| _version_ |
1718376881870340096 |