A Clinical Study on the Relationship Among Insomnia, Tongue Diagnosis, and Oral Microbiome.

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Title: A Clinical Study on the Relationship Among Insomnia, Tongue Diagnosis, and Oral Microbiome.
Authors: Park, Seo-Hyun (AUTHOR), Shin, Na Rae (AUTHOR), Yang, Meng (AUTHOR), Bose, Shambhunath (AUTHOR), Kwon, Ojin (AUTHOR), Nam, Dong-Hyun (AUTHOR), Lee, Jun-Hwan (AUTHOR), Song, Eun-Ji (AUTHOR), Nam, Young-Do (AUTHOR), Kim, Hojun (AUTHOR)
Source: American Journal of Chinese Medicine. 2022, Vol. 50 Issue 3, p773-797. 25p.
Subjects: Microbiology, Phenomenological biology, Cross-sectional method, Tongue diseases, Actigraphy, Mann Whitney U Test, Fisher exact test, Sleep, T-test (Statistics), Research funding, Questionnaires, Scale analysis (Psychology), Descriptive statistics, Chi-squared test, Insomnia, Data analysis software, Mouth, Longitudinal method
Abstract: Currently, there is a lack of adequate methods to assess insomnia objectively. This study addresses the usefulness of tongue features and oral microbial profile as a potential diagnostic biomarker of insomnia. One hundred insomniac patients and 20 healthy control subjects were selected. Their demographic and clinical characteristics, as well as the tongue diagnostic indices and oral microbial profile, were examined. Compared to the control group, insomniac patients showed a higher abnormal low-frequency/high-frequency (LF/HF) ratio. In tongue diagnosis, the indices related to lightness of tongue body and tongue coating were higher in the insomniac group vs. the control group. Furthermore, linear discriminant analysis (LDA) of oral microbial population revealed that the relative abundances of Clostridia, Veillonella, Bacillus and Lachnospiraceae were significantly higher in the insomniac patients than the control group. Additionally, the tongue features of the insomniac group exhibited that the non-coating group had a poor sleep condition compared to the thick-coating group, although the difference was insignificant. On the other hand, the oral microbial communities of the insomniac patients revealed greater alpha and beta diversities in the non-coating group vs. the thick-coating group. The alpha and beta diversities were higher in orotype1 than orotype2. Collectively, this study highlighted that the lightness of tongue body and tongue coating as well as oral microbial profiles of SR1, Actinobacteria, Clostridia and Lachnospiraceae_unclassified could be considered potential biomarkers of insomnia. [ABSTRACT FROM AUTHOR]
Copyright of American Journal of Chinese Medicine is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: A Clinical Study on the Relationship Among Insomnia, Tongue Diagnosis, and Oral Microbiome.
– Name: Author
  Label: Authors
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  Data: <searchLink fieldCode="AR" term="%22Park%2C+Seo-Hyun%22">Park, Seo-Hyun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shin%2C+Na+Rae%22">Shin, Na Rae</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Meng%22">Yang, Meng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bose%2C+Shambhunath%22">Bose, Shambhunath</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kwon%2C+Ojin%22">Kwon, Ojin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nam%2C+Dong-Hyun%22">Nam, Dong-Hyun</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Jun-Hwan%22">Lee, Jun-Hwan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Song%2C+Eun-Ji%22">Song, Eun-Ji</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nam%2C+Young-Do%22">Nam, Young-Do</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Hojun%22">Kim, Hojun</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22American+Journal+of+Chinese+Medicine%22">American Journal of Chinese Medicine</searchLink>. 2022, Vol. 50 Issue 3, p773-797. 25p.
– Name: Subject
  Label: Subjects
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  Data: <searchLink fieldCode="DE" term="%22Microbiology%22">Microbiology</searchLink><br /><searchLink fieldCode="DE" term="%22Phenomenological+biology%22">Phenomenological biology</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Tongue+diseases%22">Tongue diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Actigraphy%22">Actigraphy</searchLink><br /><searchLink fieldCode="DE" term="%22Mann+Whitney+U+Test%22">Mann Whitney U Test</searchLink><br /><searchLink fieldCode="DE" term="%22Fisher+exact+test%22">Fisher exact test</searchLink><br /><searchLink fieldCode="DE" term="%22Sleep%22">Sleep</searchLink><br /><searchLink fieldCode="DE" term="%22T-test+%28Statistics%29%22">T-test (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Scale+analysis+%28Psychology%29%22">Scale analysis (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Chi-squared+test%22">Chi-squared test</searchLink><br /><searchLink fieldCode="DE" term="%22Insomnia%22">Insomnia</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Mouth%22">Mouth</searchLink><br /><searchLink fieldCode="DE" term="%22Longitudinal+method%22">Longitudinal method</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Currently, there is a lack of adequate methods to assess insomnia objectively. This study addresses the usefulness of tongue features and oral microbial profile as a potential diagnostic biomarker of insomnia. One hundred insomniac patients and 20 healthy control subjects were selected. Their demographic and clinical characteristics, as well as the tongue diagnostic indices and oral microbial profile, were examined. Compared to the control group, insomniac patients showed a higher abnormal low-frequency/high-frequency (LF/HF) ratio. In tongue diagnosis, the indices related to lightness of tongue body and tongue coating were higher in the insomniac group vs. the control group. Furthermore, linear discriminant analysis (LDA) of oral microbial population revealed that the relative abundances of Clostridia, Veillonella, Bacillus and Lachnospiraceae were significantly higher in the insomniac patients than the control group. Additionally, the tongue features of the insomniac group exhibited that the non-coating group had a poor sleep condition compared to the thick-coating group, although the difference was insignificant. On the other hand, the oral microbial communities of the insomniac patients revealed greater alpha and beta diversities in the non-coating group vs. the thick-coating group. The alpha and beta diversities were higher in orotype1 than orotype2. Collectively, this study highlighted that the lightness of tongue body and tongue coating as well as oral microbial profiles of SR1, Actinobacteria, Clostridia and Lachnospiraceae_unclassified could be considered potential biomarkers of insomnia. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of American Journal of Chinese Medicine is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1142/S0192415X2250032X
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 25
        StartPage: 773
    Subjects:
      – SubjectFull: Microbiology
        Type: general
      – SubjectFull: Phenomenological biology
        Type: general
      – SubjectFull: Cross-sectional method
        Type: general
      – SubjectFull: Tongue diseases
        Type: general
      – SubjectFull: Actigraphy
        Type: general
      – SubjectFull: Mann Whitney U Test
        Type: general
      – SubjectFull: Fisher exact test
        Type: general
      – SubjectFull: Sleep
        Type: general
      – SubjectFull: T-test (Statistics)
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Scale analysis (Psychology)
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Chi-squared test
        Type: general
      – SubjectFull: Insomnia
        Type: general
      – SubjectFull: Data analysis software
        Type: general
      – SubjectFull: Mouth
        Type: general
      – SubjectFull: Longitudinal method
        Type: general
    Titles:
      – TitleFull: A Clinical Study on the Relationship Among Insomnia, Tongue Diagnosis, and Oral Microbiome.
        Type: main
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            NameFull: Park, Seo-Hyun
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            – D: 01
              M: 03
              Text: 2022
              Type: published
              Y: 2022
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