Preliminary analysis of salivary microbiota in catathrenia (nocturnal groaning) using machine learning algorithms

High-throughput sequencing revealed that the salivary microbiota composition was significantly altered in patients with catathrenia. Some characteristic genera (<i>Alloprevotella, Peptostreptococcaceae_XI_G1, Actinomyces,</i> and <i>Rothia</i>) could be potential biomarkers sensitive to treatment. Future studies are needed to confirm and determine the mechanisms underlying these findings.

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Publication Details

Journal
Journal of Oral Microbiology
Published
2025-04-16
DOI
https://doi.org/10.1080/20002297.2025.2489613
Citations
1
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.81
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article

Preliminary analysis of salivary microbiota in catathrenia (nocturnal groaning) using machine learning algorithms

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1 citations
Journal of Oral Microbiology
Gut microbiota and health
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article

Preliminary analysis of salivary microbiota in catathrenia (nocturnal groaning) using machine learning algorithms

Liyue Xu, Fang Han, Xuemei Gao, Yongfei Wen, Xu Gong, Min Yu, Wanxin Zhang, Yujia Lu, Zeliang Hao, Xiaosong Dong
article en
1 citations

Abstract

High-throughput sequencing revealed that the salivary microbiota composition was significantly altered in patients with catathrenia. Some characteristic genera (<i>Alloprevotella, Peptostreptococcaceae_XI_G1, Actinomyces,</i> and <i>Rothia</i>) could be potential biomarkers sensitive to treatment. Future studies are needed to confirm and determine the mechanisms underlying these findings.

Journal of Oral MicrobiologyVol. 17(1)
King University (US), Capital University (US), Capital Medical University (CN), Peking University (CN), Peking University People's Hospital (CN)
Zero hunger
Openalex Percentile: Top 29%
Gut microbiota and health
0.81
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