ArticleMicroorganisms2023
Temporal Changes of the Oral and Fecal Microbiota after Mild Traumatic Brain Injury in Rats by 16S rRNA Sequencing.
Article in Microorganisms, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Multi-Omics Profiling of mTBI-Induced Gut-Brain Axis Disruption: A Preliminary Study for Biomarker Screening and Mechanistic Exploration.Biomedicines · 2026Article
- Harnessing gut microbiota for brain health: protective role of Hungatella hathewayi for post-mTBI cognitive impairment.NPJ biofilms and microbiomes · 2026Article
- Longitudinal Effects of Mild Traumatic Brain Injury on the Gut Microbiome and Acoustic Startle Response in Male and Female Rats.Journal of neurotrauma · 2026Article
- Article
- Broadening horizons: microbiota as a novel biomarker and potential treatment for endometriosis.Frontiers in microbiology · 2025Review
- Importance of good hosting: reviewing the bi-directionality of the microbiome-gut-brain-axis.Frontiers in neuroscience · 2024Review
- Fecal microbiota transplantation inhibited neuroinflammation of traumatic brain injury in mice via regulating the gut-brain axis.Frontiers in cellular and infection microbiology · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
A mild traumatic brain injury (mTBI) can increase the risk of neurodegenerative-related disease, and serious long-term outcomes are often overlooked. In forensic science, the accurate identification of mTBIs can directly affect the application of evidence in practice cases. Recent research has revealed that the oral cavity and fecal microbiota play a fundamental role in deeply interconnecting the gut and brain injury. Therefore, we investigated the relationship between the temporal changes of the oral cavity and fecal bacterial communities with damage identification and post-injury time estimation after mTBI. In this study, we analyzed the oral cavity and fecal bacterial communities in mTBI rats under 12 different post-injury times (sham, 0 h, 2 h, 6 h, 12 h, 24 h, 2 d, 3 d, 5 d, 7 d, 10 d, and 14 d post-injury) using 16S rRNA sequencing technology. The sequence results revealed bacteria belonging to 36 phyla, 82 classes, 211 orders, 360 families, 751 genera, and 1398 species. Compared to the sham group, the relative abundance of the bacterial communities varied markedly in the post-injury groups. Importantly, our data demonstrated that Fusobacteria, Prevotellaceae, Ruminococcaceae, and Lactobacillaceae might be the potential candidates for mTBI identification, and 2 h post-injury was a critical time point to explore the temporal changes of mTBI injury-time estimation. The results also provide new ideas for mTBI treatment in the clinic.
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Registered trials
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