Cargando…

Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis

Introduction: Periodontitis is a chronic inflammatory oral disease that destroys soft and hard periodontal support tissues. Multiple cell death modes including apoptosis, necroptosis, pyroptosis, and ferroptosis play a crucial role in the pathogenicity of inflammatory diseases. This study aimed to i...

Descripción completa

Detalles Bibliográficos
Autores principales: Pan, Shuaifei, Li, Yue, He, Haokun, Cheng, Shuguang, Li, Jiang, Pathak, Janak L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852864/
https://www.ncbi.nlm.nih.gov/pubmed/36686646
http://dx.doi.org/10.3389/fphar.2022.1098851
_version_ 1784872755683917824
author Pan, Shuaifei
Li, Yue
He, Haokun
Cheng, Shuguang
Li, Jiang
Pathak, Janak L.
author_facet Pan, Shuaifei
Li, Yue
He, Haokun
Cheng, Shuguang
Li, Jiang
Pathak, Janak L.
author_sort Pan, Shuaifei
collection PubMed
description Introduction: Periodontitis is a chronic inflammatory oral disease that destroys soft and hard periodontal support tissues. Multiple cell death modes including apoptosis, necroptosis, pyroptosis, and ferroptosis play a crucial role in the pathogenicity of inflammatory diseases. This study aimed to identify genes associated with ferroptosis, necroptosis, and pyroptosis in different cells present in the periodontium of periodontitis patients. Methods: Gingival tissues’ mRNA sequencing dataset GSE173078 of 12 healthy control and 12 periodontitis patients’ and the microarray dataset GSE10334 of 63 healthy controls and 64 periodontitis patients’ were obtained from Gene Expression Omnibus (GEO) database. A total of 910 differentially expressed genes (DEGs) obtained in GSE173078 were intersected with necroptosis, pyroptosis, and ferroptosis-related genes to obtain the differential genes associated with cell death (DCDEGs), and the expression levels of 21 differential genes associated with cell death were verified with dataset GSE10334. Results: Bioinformatic analysis revealed 21 differential genes associated with cell death attributed to ferroptosis, pyroptosis, and necroptosis in periodontitis patients compared with healthy controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed that 21 differential genes associated with cell death were related to various cellular and immunological pathways including inflammatory responses, necroptosis, and osteoclast differentiation. Additionally, the single-cell RNA (scRNA) sequencing data GSE171213 of 4 healthy controls and 5 periodontitis patients’ periodontal tissue was analyzed to obtain cell clustering and cell types attributed to differential genes associated with cell death. We found that among 21 DCDEGs, SLC2A3, FPR2, TREM1, and IL1B were mainly upregulated in neutrophils present in the periodontium of periodontitis patients. Gene overlapping analysis revealed that IL-1B is related to necroptosis and pyroptosis, TREM1 and FPR2 are related to pyroptosis, and SLC2A3 is related to ferroptosis. Finally, we utilized the CIBERSORT algorithm to assess the association between DCDEGs and immune infiltration phenotypes, based on the gene expression profile of GSE10334. The results revealed that the upregulated SLC2A3, FPR2, TREM1, and IL1B were positively correlated with neutrophil infiltration in the periodontium. Discussion: The findings provide upregulated SLC2A3, FPR2, TREM1, and IL1B in neutrophils as a future research direction on the mode and mechanism of cell death in periodontitis and their role in disease pathogenicity.
format Online
Article
Text
id pubmed-9852864
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-98528642023-01-21 Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis Pan, Shuaifei Li, Yue He, Haokun Cheng, Shuguang Li, Jiang Pathak, Janak L. Front Pharmacol Pharmacology Introduction: Periodontitis is a chronic inflammatory oral disease that destroys soft and hard periodontal support tissues. Multiple cell death modes including apoptosis, necroptosis, pyroptosis, and ferroptosis play a crucial role in the pathogenicity of inflammatory diseases. This study aimed to identify genes associated with ferroptosis, necroptosis, and pyroptosis in different cells present in the periodontium of periodontitis patients. Methods: Gingival tissues’ mRNA sequencing dataset GSE173078 of 12 healthy control and 12 periodontitis patients’ and the microarray dataset GSE10334 of 63 healthy controls and 64 periodontitis patients’ were obtained from Gene Expression Omnibus (GEO) database. A total of 910 differentially expressed genes (DEGs) obtained in GSE173078 were intersected with necroptosis, pyroptosis, and ferroptosis-related genes to obtain the differential genes associated with cell death (DCDEGs), and the expression levels of 21 differential genes associated with cell death were verified with dataset GSE10334. Results: Bioinformatic analysis revealed 21 differential genes associated with cell death attributed to ferroptosis, pyroptosis, and necroptosis in periodontitis patients compared with healthy controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed that 21 differential genes associated with cell death were related to various cellular and immunological pathways including inflammatory responses, necroptosis, and osteoclast differentiation. Additionally, the single-cell RNA (scRNA) sequencing data GSE171213 of 4 healthy controls and 5 periodontitis patients’ periodontal tissue was analyzed to obtain cell clustering and cell types attributed to differential genes associated with cell death. We found that among 21 DCDEGs, SLC2A3, FPR2, TREM1, and IL1B were mainly upregulated in neutrophils present in the periodontium of periodontitis patients. Gene overlapping analysis revealed that IL-1B is related to necroptosis and pyroptosis, TREM1 and FPR2 are related to pyroptosis, and SLC2A3 is related to ferroptosis. Finally, we utilized the CIBERSORT algorithm to assess the association between DCDEGs and immune infiltration phenotypes, based on the gene expression profile of GSE10334. The results revealed that the upregulated SLC2A3, FPR2, TREM1, and IL1B were positively correlated with neutrophil infiltration in the periodontium. Discussion: The findings provide upregulated SLC2A3, FPR2, TREM1, and IL1B in neutrophils as a future research direction on the mode and mechanism of cell death in periodontitis and their role in disease pathogenicity. Frontiers Media S.A. 2023-01-06 /pmc/articles/PMC9852864/ /pubmed/36686646 http://dx.doi.org/10.3389/fphar.2022.1098851 Text en Copyright © 2023 Pan, Li, He, Cheng, Li and Pathak. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pharmacology
Pan, Shuaifei
Li, Yue
He, Haokun
Cheng, Shuguang
Li, Jiang
Pathak, Janak L.
Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis
title Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis
title_full Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis
title_fullStr Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis
title_full_unstemmed Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis
title_short Identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis
title_sort identification of ferroptosis, necroptosis, and pyroptosis-associated genes in periodontitis-affected human periodontal tissue using integrated bioinformatic analysis
topic Pharmacology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852864/
https://www.ncbi.nlm.nih.gov/pubmed/36686646
http://dx.doi.org/10.3389/fphar.2022.1098851
work_keys_str_mv AT panshuaifei identificationofferroptosisnecroptosisandpyroptosisassociatedgenesinperiodontitisaffectedhumanperiodontaltissueusingintegratedbioinformaticanalysis
AT liyue identificationofferroptosisnecroptosisandpyroptosisassociatedgenesinperiodontitisaffectedhumanperiodontaltissueusingintegratedbioinformaticanalysis
AT hehaokun identificationofferroptosisnecroptosisandpyroptosisassociatedgenesinperiodontitisaffectedhumanperiodontaltissueusingintegratedbioinformaticanalysis
AT chengshuguang identificationofferroptosisnecroptosisandpyroptosisassociatedgenesinperiodontitisaffectedhumanperiodontaltissueusingintegratedbioinformaticanalysis
AT lijiang identificationofferroptosisnecroptosisandpyroptosisassociatedgenesinperiodontitisaffectedhumanperiodontaltissueusingintegratedbioinformaticanalysis
AT pathakjanakl identificationofferroptosisnecroptosisandpyroptosisassociatedgenesinperiodontitisaffectedhumanperiodontaltissueusingintegratedbioinformaticanalysis