AI Article Synopsis
- - This study explores new methods to objectively evaluate insomnia by examining tongue features and oral microbial profiles as potential diagnostic biomarkers.
- - Researchers compared 100 insomniac patients with 20 healthy controls, finding that the insomnia group had notable differences in tongue characteristics and an abnormal LF/HF ratio.
- - The findings suggest that tongue lightness, coating, and specific microbial populations may serve as indicators of insomnia, with variations in oral microbial diversity further linked to sleep quality.
Article 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 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, and could be considered potential biomarkers of insomnia.
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| http://dx.doi.org/10.1142/S0192415X2250032X | DOI Listing |
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