ORIGINAL RESEARCH article
Front. Microbiol.
Sec. Microorganisms in Vertebrate Digestive Systems
This article is part of the Research TopicGut Microbiome Influences in Mood Disorders: Unveiling the Gut-Brain AxisView all articles
Gut microbiota and traumatic brain injury: insights from an antibiotic-free cohort
Provisionally accepted- 1Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, China
- 2Shanxi Provincial People's Hospital, Taiyuan, China
- 3Shenzhen University Affiliated South China Hospital, Shenzhen, China
- 4Shanxi Provincial People’s Hospital, Taiyuan, China
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Traumatic brain injury (TBI) is a major global health concern, leading to persistent neurological deficits and systemic complications. While animal studies have shown the association between TBI and the gut microbiota, human evidence, particularly in the early post-injury period, remains scarce. In this study, we profiled the gut microbiota of TBI patients within 8 days of hospitalization using 16S rRNA sequencing, integrating clinical metadata and excluding individuals who had received antibiotics within the preceding month. Although alpha diversity remained similar between groups, beta diversity was significantly altered in TBI patients relative to healthy controls, accompanied by increased interindividual variability. Differential abundance analysis revealed a depletion of short-chain fatty acid (SCFA)-producing taxa, e.g., Eubacterium, Agathobacter, and Faecalibacillus intestinalis, alongside an enrichment of dysbiosis-associated genera, including Escherichia and Shigella. Notably, Lactobacillus, a γ-aminobutyric acid-producing genus, was elevated in TBI patients, potentially reflecting a compensatory response to neural injury. Functional prediction suggested reduced SCFA biosynthetic capacity in TBI patients, whereas biofilm formation and several other fitness-related processes were enriched. Integrating gut microbiota with clinical and demographic variables, a machine learning model moderately predicted Glasgow Coma Scale scores, with age, inflammatory markers, and differentially abundant bacterial taxa as major contributors. Collectively, these findings indicate that TBI is associated with dysbiosis of the gut microbial and altered metabolic potential.
Keywords: Traumatic Brain Injury, Gut Microbiota, short-chain fatty acid, functional prediction, Biofilm, Machine learning modeling
Received: 02 Sep 2025; Accepted: 10 Nov 2025.
Copyright: © 2025 Wu, Huo, Fang, Guo, Wang, Su and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Li Su, suli297@163.com
Gang Cheng, gangchen080806@gmail.com
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