The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing

Objective. The primary aim of this investigation was to analyze the microbiome in patients with combined periodontal-endodontic lesions. Method. Patients with loose and/or painful teeth referred for treatment from March 2020 to December 2020 in the First People’s Hospital of Jinzhong were recruited....

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Autores principales:	Ping Sun, Zhiyong Guo, Daiping Guo, Jian Wang, Tingting Wu, Tingjun Li, Jiannan Liu, Xinhua Liu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Immunologic diseases. Allergy RC581-607
Acceso en línea:	https://doaj.org/article/475a646c96854c988e5b42c66e8258f6
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spelling	oai:doaj.org-article:475a646c96854c988e5b42c66e8258f62021-11-29T00:56:18ZThe Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing2314-715610.1155/2021/2490064https://doaj.org/article/475a646c96854c988e5b42c66e8258f62021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/2490064https://doaj.org/toc/2314-7156Objective. The primary aim of this investigation was to analyze the microbiome in patients with combined periodontal-endodontic lesions. Method. Patients with loose and/or painful teeth referred for treatment from March 2020 to December 2020 in the First People’s Hospital of Jinzhong were recruited. Samples were collected from teeth diagnosed as chronic periodontics (PE), ulcerative pulpitis (PU), and retrograde pulpitis (RE). Genomic DNA was extracted. The quantitative polymerase chain reaction, targeting the 16S ribosomal RNA (rRNA), was adopted for the quantification of bacteria. Then, the V3-V4 hypervariable regions of the 16S rRNA gene were amplified and subjected to next-generation sequencing. The statistical analysis was performed by R software (V3.5.1). Results. A total of 57 qualified samples were collected from 48 patients and analyzed (7 PE, 21 PU, and 19 RE). By linear discriminant analysis effect size, Kingella and Barnesiella were significantly increased in the periodontal pocket of retrograde pulpitis (RE-PE), compared with PE. The relative abundance of Clostridiales Incertae Sedis XI, Fusobacteriaceae, Fusobacterium, Parvimonas, Micrococcaceae, and Rothia was significantly increased in the pulp of retrograde pulpitis (RE-PU) than PU and RE-PE. Prevotella, Leptotrichia, Porphyromonas, Streptococcus, and Fusobacterium are consistently at a high abundance, across PU, RE-PE, and RE-PU. Conclusion. The current study highlighted the evidence that a specific microbial community is associated with the occurrence of retrograde pulpitis. The microenvironment of the root canal and pulp chamber will select microbiota. This study offered insights into the pathogenesis of retrograde pulpitis.Ping SunZhiyong GuoDaiping GuoJian WangTingting WuTingjun LiJiannan LiuXinhua LiuHindawi LimitedarticleImmunologic diseases. AllergyRC581-607ENJournal of Immunology Research, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Immunologic diseases. Allergy RC581-607
spellingShingle	Immunologic diseases. Allergy RC581-607 Ping Sun Zhiyong Guo Daiping Guo Jian Wang Tingting Wu Tingjun Li Jiannan Liu Xinhua Liu The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing
description	Objective. The primary aim of this investigation was to analyze the microbiome in patients with combined periodontal-endodontic lesions. Method. Patients with loose and/or painful teeth referred for treatment from March 2020 to December 2020 in the First People’s Hospital of Jinzhong were recruited. Samples were collected from teeth diagnosed as chronic periodontics (PE), ulcerative pulpitis (PU), and retrograde pulpitis (RE). Genomic DNA was extracted. The quantitative polymerase chain reaction, targeting the 16S ribosomal RNA (rRNA), was adopted for the quantification of bacteria. Then, the V3-V4 hypervariable regions of the 16S rRNA gene were amplified and subjected to next-generation sequencing. The statistical analysis was performed by R software (V3.5.1). Results. A total of 57 qualified samples were collected from 48 patients and analyzed (7 PE, 21 PU, and 19 RE). By linear discriminant analysis effect size, Kingella and Barnesiella were significantly increased in the periodontal pocket of retrograde pulpitis (RE-PE), compared with PE. The relative abundance of Clostridiales Incertae Sedis XI, Fusobacteriaceae, Fusobacterium, Parvimonas, Micrococcaceae, and Rothia was significantly increased in the pulp of retrograde pulpitis (RE-PU) than PU and RE-PE. Prevotella, Leptotrichia, Porphyromonas, Streptococcus, and Fusobacterium are consistently at a high abundance, across PU, RE-PE, and RE-PU. Conclusion. The current study highlighted the evidence that a specific microbial community is associated with the occurrence of retrograde pulpitis. The microenvironment of the root canal and pulp chamber will select microbiota. This study offered insights into the pathogenesis of retrograde pulpitis.
format	article
author	Ping Sun Zhiyong Guo Daiping Guo Jian Wang Tingting Wu Tingjun Li Jiannan Liu Xinhua Liu
author_facet	Ping Sun Zhiyong Guo Daiping Guo Jian Wang Tingting Wu Tingjun Li Jiannan Liu Xinhua Liu
author_sort	Ping Sun
title	The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing
title_short	The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing
title_full	The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing
title_fullStr	The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing
title_full_unstemmed	The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing
title_sort	microbiota profile analysis of combined periodontal-endodontic lesions using 16s rrna next-generation sequencing
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/475a646c96854c988e5b42c66e8258f6
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The Microbiota Profile Analysis of Combined Periodontal-Endodontic Lesions Using 16S rRNA Next-Generation Sequencing

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