Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease
IntroductionMetabolic-associated fatty liver disease (MAFLD) is the most common chronic liver disease related to metabolic syndrome. However, ecological shifts in the saliva microbiome in patients with MAFLD remain unknown. This study aimed to investigate the changes to the salivary microbial commun...
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Cellular and Infection Microbiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fcimb.2023.1131255/full |
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| author | Min Wang Min Wang Li-Ya Yan Cai-Yun Qiao Chu-Chu Zheng Chen-Guang Niu Chen-Guang Niu Chen-Guang Niu Chen-Guang Niu Zheng-Wei Huang Zheng-Wei Huang Zheng-Wei Huang Zheng-Wei Huang Yi-Huai Pan Yi-Huai Pan |
| author_facet | Min Wang Min Wang Li-Ya Yan Cai-Yun Qiao Chu-Chu Zheng Chen-Guang Niu Chen-Guang Niu Chen-Guang Niu Chen-Guang Niu Zheng-Wei Huang Zheng-Wei Huang Zheng-Wei Huang Zheng-Wei Huang Yi-Huai Pan Yi-Huai Pan |
| author_sort | Min Wang |
| collection | DOAJ |
| description | IntroductionMetabolic-associated fatty liver disease (MAFLD) is the most common chronic liver disease related to metabolic syndrome. However, ecological shifts in the saliva microbiome in patients with MAFLD remain unknown. This study aimed to investigate the changes to the salivary microbial community in patients with MAFLD and explore the potential function of microbiota.MethodsSalivary microbiomes from ten MAFLD patients and ten healthy participants were analyzed by 16S rRNA amplicon sequencing and bioinformatics analysis. Body composition, plasma enzymes, hormones, and blood lipid profiles were assessed with physical examinations and laboratory tests.ResultsThe salivary microbiome of MAFLD patients was characterized by increased α-diversity and distinct β-diversity clustering compared with control subjects. Linear discriminant analysis effect size analysis showed a total of 44 taxa significantly differed between the two groups. Genera Neisseria, Filifactor, and Capnocytophaga were identified as differentially enriched genera for comparison of the two groups. Co-occurrence networks suggested that the salivary microbiota from MAFLD patients exhibited more intricate and robust interrelationships. The diagnostic model based on the salivary microbiome achieved a good diagnostic power with an area under the curve of 0.82(95% CI: 0.61–1). Redundancy analysis and spearman correlation analysis revealed that clinical variables related to insulin resistance and obesity were strongly associated with the microbial community. Metagenomic predictions based on Phylogenetic Investigation of Communities by Reconstruction of Unobserved States revealed that pathways related to metabolism were more prevalent in the two groups.ConclusionsPatients with MAFLD manifested ecological shifts in the salivary microbiome, and the saliva microbiome-based diagnostic model provides a promising approach for auxiliary MAFLD diagnosis. |
| first_indexed | 2024-04-10T15:19:33Z |
| format | Article |
| id | doaj.art-8751e03a4f024141be80b77567a82b56 |
| institution | Directory Open Access Journal |
| issn | 2235-2988 |
| language | English |
| last_indexed | 2024-04-10T15:19:33Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Cellular and Infection Microbiology |
| spelling | doaj.art-8751e03a4f024141be80b77567a82b562023-02-14T16:30:06ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882023-02-011310.3389/fcimb.2023.11312551131255Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver diseaseMin Wang0Min Wang1Li-Ya Yan2Cai-Yun Qiao3Chu-Chu Zheng4Chen-Guang Niu5Chen-Guang Niu6Chen-Guang Niu7Chen-Guang Niu8Zheng-Wei Huang9Zheng-Wei Huang10Zheng-Wei Huang11Zheng-Wei Huang12Yi-Huai Pan13Yi-Huai Pan14Institute of Stomatology, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, ChinaDepartment of Endodontics, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, ChinaInstitute of Stomatology, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, ChinaInstitute of Stomatology, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, ChinaInstitute of Stomatology, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, ChinaDepartment of Endodontics, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaCollege of Stomatology, Shanghai Jiao Tong University, Shanghai, ChinaNational Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, ChinaShanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, ChinaDepartment of Endodontics, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaCollege of Stomatology, Shanghai Jiao Tong University, Shanghai, ChinaNational Clinical Research Center for Oral Diseases, National Center for Stomatology, Shanghai, ChinaShanghai Key Laboratory of Stomatology & Shanghai Research Institute of Stomatology, Shanghai, ChinaInstitute of Stomatology, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, ChinaDepartment of Endodontics, School and Hospital of Stomatology, Wenzhou Medical University, Wenzhou, ChinaIntroductionMetabolic-associated fatty liver disease (MAFLD) is the most common chronic liver disease related to metabolic syndrome. However, ecological shifts in the saliva microbiome in patients with MAFLD remain unknown. This study aimed to investigate the changes to the salivary microbial community in patients with MAFLD and explore the potential function of microbiota.MethodsSalivary microbiomes from ten MAFLD patients and ten healthy participants were analyzed by 16S rRNA amplicon sequencing and bioinformatics analysis. Body composition, plasma enzymes, hormones, and blood lipid profiles were assessed with physical examinations and laboratory tests.ResultsThe salivary microbiome of MAFLD patients was characterized by increased α-diversity and distinct β-diversity clustering compared with control subjects. Linear discriminant analysis effect size analysis showed a total of 44 taxa significantly differed between the two groups. Genera Neisseria, Filifactor, and Capnocytophaga were identified as differentially enriched genera for comparison of the two groups. Co-occurrence networks suggested that the salivary microbiota from MAFLD patients exhibited more intricate and robust interrelationships. The diagnostic model based on the salivary microbiome achieved a good diagnostic power with an area under the curve of 0.82(95% CI: 0.61–1). Redundancy analysis and spearman correlation analysis revealed that clinical variables related to insulin resistance and obesity were strongly associated with the microbial community. Metagenomic predictions based on Phylogenetic Investigation of Communities by Reconstruction of Unobserved States revealed that pathways related to metabolism were more prevalent in the two groups.ConclusionsPatients with MAFLD manifested ecological shifts in the salivary microbiome, and the saliva microbiome-based diagnostic model provides a promising approach for auxiliary MAFLD diagnosis.https://www.frontiersin.org/articles/10.3389/fcimb.2023.1131255/fullmetabolic-associated fatty liver disease16S rRNA sequencingsalivary microbiomeinsulin resistancediagnostic model |
| spellingShingle | Min Wang Min Wang Li-Ya Yan Cai-Yun Qiao Chu-Chu Zheng Chen-Guang Niu Chen-Guang Niu Chen-Guang Niu Chen-Guang Niu Zheng-Wei Huang Zheng-Wei Huang Zheng-Wei Huang Zheng-Wei Huang Yi-Huai Pan Yi-Huai Pan Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease Frontiers in Cellular and Infection Microbiology metabolic-associated fatty liver disease 16S rRNA sequencing salivary microbiome insulin resistance diagnostic model |
| title | Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease |
| title_full | Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease |
| title_fullStr | Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease |
| title_full_unstemmed | Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease |
| title_short | Ecological shifts of salivary microbiota associated with metabolic-associated fatty liver disease |
| title_sort | ecological shifts of salivary microbiota associated with metabolic associated fatty liver disease |
| topic | metabolic-associated fatty liver disease 16S rRNA sequencing salivary microbiome insulin resistance diagnostic model |
| url | https://www.frontiersin.org/articles/10.3389/fcimb.2023.1131255/full |
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