AI Article Synopsis

  • The study aimed to find more reliable diagnostic methods for epilepsy by examining the oral microbiota of patients with epilepsy and those whose seizures are controlled.
  • Through 16S rRNA gene sequencing of tongue swabs from 480 individuals, significant differences in microbial communities were discovered between epilepsy patients and healthy controls.
  • Results suggest that the oral microbiome could serve as a non-invasive diagnostic tool for epilepsy, with high accuracy rates in distinguishing between different disease states.

Article Abstract

Background: The existing diagnostic methods of epilepsy such as history collection and electroencephalogram have great limitations in practice, so more reliable and less difficult diagnostic methods are needed.

Methods: By characterizing oral microbiota in patients diagnosed with epilepsy (EPs) and patients whose seizures were under control (EPRs), we sought to discover biomarkers for different disease states. 16S rRNA gene sequencing was performed on 480 tongue swabs [157 EPs, 22 EPRs, and 301 healthy controls (HCs)].

Results: Compared with normal individuals, patients with epilepsy exhibit increased alpha diversity in their oral microbiota, and the oral microbial communities of the two groups demonstrate significant beta diversity differences. EPs exhibit a significant increase in the abundance of 26 genera, including , , and , while the abundance of 14 genera, including , , and , is significantly reduced. The area under the receiver operating characteristic curve (AUC) of oral microbial markers in the training cohort and validation cohort was 98.85% and 97.23%, respectively. Importantly, the AUC of the biomarker set achieved 92.44% of additional independent validation sets. In addition, EPRs also have their own unique oral community.

Conclusion: This study describes the characterization of the oral microbiome in EP and EPR and demonstrates the potential of the specific microbiome as a non-invasive diagnostic tool for epilepsy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10721976PMC
http://dx.doi.org/10.3389/fmicb.2023.1277022DOI Listing

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