Hongxiang Mei, Cai Qi, Jinchi Liu, Sirui Yang, Jiajia Zhou, Yangyu Lu, Liwei Zheng, Juan Li, Lei Zhao, Xin Xu
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引用次数: 0
Abstract
Background: The genetic susceptibility of halitosis is unclear, challenging its precise management in high-risk population. Here we investigated the association of hTAS2R38 polymorphisms with the prevalence and treatment outcome of halitosis, with a particular focus on oral microbiota.
Methods: A cross-sectional study including 689 participants was conducted to investigate the association between hTAS2R38 polymorphisms and halitosis. A 6-month cohort including 60 halitosis patients was established to explore the relationship between hTAS2R38 polymorphisms and treatment outcome of halitosis. Salivary microbiota was further analyzed and its correlation with hTAS2R38 polymorphisms was investigated.
Results: In the cross-sectional study, a higher prevalence of halitosis was observed in individuals with AVI/AVI genotype as compared to non-AVI/AVI genotype (PAV/PAV + PAV/AVI) (OR = 2.380, 95% CI = 1.493-3.807). 16S rRNA sequencing revealed the enrichment of Prevotella in the saliva of AVI/AVI individuals. In the prospective study, halitosis patients with AVI/AVI genotype exhibited poor treatment outcome relative to non-AVI/AVI individuals during the 6-month follow-up after halitosis intervention (RR = 2.077, 95% CI = 1.382-3.339). Tannerella, Filifactor, and Mycoplasma were identified to be the major persistent genus in the saliva of AVI/AVI patients over the 6-month period after treatment. Furthermore, the human gingival fibroblasts with AVI/AVI genotype exhibited reduced inhibition against the growth and volatile sulfur compounds production of periodontal pathogens.
Conclusions: Our work demonstrates that hTAS2R38 polymorphisms contribute to the development and treatment outcome of halitosis via modulating oral microbiota, providing new insights to the better management of halitosis. Video Abstract.
期刊介绍：
Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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