Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitis
Type 2 diabetes mellitus (T2DM) and periodontitis are common and interrelated diseases, resulting in altered host response microbiota. The subgingival micro-organisms play a key role in periodontitis pathogenesis. To assess the shift of subgingival microbiome and metabolome in T2DM, we performed an...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-11-01
|
| Series: | Frontiers in Microbiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmicb.2022.939608/full |
| _version_ | 1797986570279583744 |
|---|---|
| author | Lanlan Jiang Lanlan Jiang Lanlan Jiang Jiaming Zhang Meifei Fang Yingfen Qin Yuxiao Huang Renchuan Tao Renchuan Tao Renchuan Tao |
| author_facet | Lanlan Jiang Lanlan Jiang Lanlan Jiang Jiaming Zhang Meifei Fang Yingfen Qin Yuxiao Huang Renchuan Tao Renchuan Tao Renchuan Tao |
| author_sort | Lanlan Jiang |
| collection | DOAJ |
| description | Type 2 diabetes mellitus (T2DM) and periodontitis are common and interrelated diseases, resulting in altered host response microbiota. The subgingival micro-organisms play a key role in periodontitis pathogenesis. To assess the shift of subgingival microbiome and metabolome in T2DM, we performed an analysis of the subgingival microbiome in patients with T2DM (n = 20) compared with non-diabetes (ND) subjects (n = 21). Furthermore, patients were subdivided into 10 T2DM with periodontitis (DP), 10 T2DM without periodontitis (DNP), 10 periodontitis (P), and 11 healthy control (H) groups. 16SrRNA gene sequencing combined with ultra high-performance liquid chromatography-mass spectrometry (UHPLC–MS) based metabolomics was performed in all participants. T lymphocyte immunity was analyzed by flow cytometry. Furthermore, the network relationship among subgingival micro-organisms, metabolites, blood glucose level, and T lymphocyte immunity were analyzed. The results showed that the difference of the subgingival microbiome from healthy to periodontitis status was less prominent in T2DM compared with ND, though the clinical signs of disease were similar. The bacteria Eubacterium nodatum group, Filifactor, Fretibacterium, Peptostreptococcus, and Desulfovibrio, amongst others, may be important in the pathopoiesia of periodontitis in the T2DM state. In addition, some dominant bacteria showed network relationships. The Treg/Th17 ratio was lower in the DP and DNP groups than in the P and H groups—though that of P was lower than for H. The percentage of CD4+/CD8+ PD1 and CD8+ PDL1 was higher in the DP and DNP groups than in the H group; the percentage of CD8+ PDL1 was higher in the DP than P groups. Subgingival micro-organisms in periodontitis had a significant metabolic shift in terms of their signature metabolites. Butyrate metabolism and phenylalanine metabolism may play a role in the pathogenesis of periodontitis with/without T2DM. Specifically, biphenyl degradation, tryptophan metabolism, and the two-component system may play important roles in periodontitis with T2DM. Lastly, the network relationship among subgingival micro-organisms, metabolites, blood glucose level, and T lymphocyte immunity were unbalanced. This study identified the changes in the subgingival microbiome associated with periodontitis in T2DM, as well as the associated network between bacterial flora, metabolism dysbiosis, and immune regulation. |
| first_indexed | 2024-04-11T07:34:28Z |
| format | Article |
| id | doaj.art-bd186d20cac64a6f8477954f2ca1c20a |
| institution | Directory Open Access Journal |
| issn | 1664-302X |
| language | English |
| last_indexed | 2024-04-11T07:34:28Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Microbiology |
| spelling | doaj.art-bd186d20cac64a6f8477954f2ca1c20a2022-12-22T04:36:46ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2022-11-011310.3389/fmicb.2022.939608939608Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitisLanlan Jiang0Lanlan Jiang1Lanlan Jiang2Jiaming Zhang3Meifei Fang4Yingfen Qin5Yuxiao Huang6Renchuan Tao7Renchuan Tao8Renchuan Tao9Department of Periodontics and Oral Medicine, College of Stomatology, Guangxi Medical University, Nanning, ChinaGuangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, ChinaGuangxi Key Laboratory of the Rehabilitation and Reconstruction for Oral and Maxillofacial Research, Nanning, ChinaGuangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, ChinaDepartment of Periodontics and Oral Medicine, College of Stomatology, Guangxi Medical University, Nanning, ChinaDepartment of Endocrinology, The First Affiliated Hospital, Guangxi Medical University, Nanning, ChinaDepartment of Periodontics and Oral Medicine, College of Stomatology, Guangxi Medical University, Nanning, ChinaDepartment of Periodontics and Oral Medicine, College of Stomatology, Guangxi Medical University, Nanning, ChinaGuangxi Health Commission Key Laboratory of Prevention and Treatment for Oral Infectious Diseases, Nanning, ChinaGuangxi Key Laboratory of the Rehabilitation and Reconstruction for Oral and Maxillofacial Research, Nanning, ChinaType 2 diabetes mellitus (T2DM) and periodontitis are common and interrelated diseases, resulting in altered host response microbiota. The subgingival micro-organisms play a key role in periodontitis pathogenesis. To assess the shift of subgingival microbiome and metabolome in T2DM, we performed an analysis of the subgingival microbiome in patients with T2DM (n = 20) compared with non-diabetes (ND) subjects (n = 21). Furthermore, patients were subdivided into 10 T2DM with periodontitis (DP), 10 T2DM without periodontitis (DNP), 10 periodontitis (P), and 11 healthy control (H) groups. 16SrRNA gene sequencing combined with ultra high-performance liquid chromatography-mass spectrometry (UHPLC–MS) based metabolomics was performed in all participants. T lymphocyte immunity was analyzed by flow cytometry. Furthermore, the network relationship among subgingival micro-organisms, metabolites, blood glucose level, and T lymphocyte immunity were analyzed. The results showed that the difference of the subgingival microbiome from healthy to periodontitis status was less prominent in T2DM compared with ND, though the clinical signs of disease were similar. The bacteria Eubacterium nodatum group, Filifactor, Fretibacterium, Peptostreptococcus, and Desulfovibrio, amongst others, may be important in the pathopoiesia of periodontitis in the T2DM state. In addition, some dominant bacteria showed network relationships. The Treg/Th17 ratio was lower in the DP and DNP groups than in the P and H groups—though that of P was lower than for H. The percentage of CD4+/CD8+ PD1 and CD8+ PDL1 was higher in the DP and DNP groups than in the H group; the percentage of CD8+ PDL1 was higher in the DP than P groups. Subgingival micro-organisms in periodontitis had a significant metabolic shift in terms of their signature metabolites. Butyrate metabolism and phenylalanine metabolism may play a role in the pathogenesis of periodontitis with/without T2DM. Specifically, biphenyl degradation, tryptophan metabolism, and the two-component system may play important roles in periodontitis with T2DM. Lastly, the network relationship among subgingival micro-organisms, metabolites, blood glucose level, and T lymphocyte immunity were unbalanced. This study identified the changes in the subgingival microbiome associated with periodontitis in T2DM, as well as the associated network between bacterial flora, metabolism dysbiosis, and immune regulation.https://www.frontiersin.org/articles/10.3389/fmicb.2022.939608/fulltype 2 diabetesperiodontitissubgingival micro-organismsmetabonomicsT lymphocyte |
| spellingShingle | Lanlan Jiang Lanlan Jiang Lanlan Jiang Jiaming Zhang Meifei Fang Yingfen Qin Yuxiao Huang Renchuan Tao Renchuan Tao Renchuan Tao Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitis Frontiers in Microbiology type 2 diabetes periodontitis subgingival micro-organisms metabonomics T lymphocyte |
| title | Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitis |
| title_full | Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitis |
| title_fullStr | Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitis |
| title_full_unstemmed | Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitis |
| title_short | Analysis of subgingival micro-organisms based on multi-omics and Treg/Th17 balance in type 2 diabetes with/without periodontitis |
| title_sort | analysis of subgingival micro organisms based on multi omics and treg th17 balance in type 2 diabetes with without periodontitis |
| topic | type 2 diabetes periodontitis subgingival micro-organisms metabonomics T lymphocyte |
| url | https://www.frontiersin.org/articles/10.3389/fmicb.2022.939608/full |
| work_keys_str_mv | AT lanlanjiang analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT lanlanjiang analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT lanlanjiang analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT jiamingzhang analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT meifeifang analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT yingfenqin analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT yuxiaohuang analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT renchuantao analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT renchuantao analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis AT renchuantao analysisofsubgingivalmicroorganismsbasedonmultiomicsandtregth17balanceintype2diabeteswithwithoutperiodontitis |