A prospective study in severely injured patients reveals an altered gut microbiome is associated with transfusion volume.

BACKGROUND: Traumatic injury can lead to a compromised intestinal epithelial barrier and inflammation. While alterations in the gut microbiome of critically injured patients may influence clinical outcomes, the impact of trauma on gut microbial composition is unknown. Our objective was to determine if the gut microbiome is altered in severely injured patients and begin to characterize changes in the gut microbiome due to time and therapeutic intervention. METHODS: We conducted a prospective, observational study in adult patients (n = 72) sustaining severe injury admitted to a Level I Trauma Center. Healthy volunteers (n = 13) were also examined. Fecal specimens were collected on admission to the emergency department and at 3, 7, 10, and 13 days (±2 days) following injury. Microbial DNA was isolated for 16s rRNA sequencing, and α and ß diversities were estimated, according to taxonomic classification against the Greengenes database. RESULTS: The gut microbiome of trauma patients was altered on admission (i.e., within 30 minutes following injury) compared to healthy volunteers. Patients with an unchanged gut microbiome on admission were transfused more RBCs than those with an altered gut microbiome (p < 0.001). Although the gut microbiome started to return to a ß-diversity profile similar to that of healthy volunteers over time, it remained different from healthy controls. Alternatively, α diversity initially increased postinjury, but subsequently decreased during the hospitalization. Injured patients on admission had a decreased abundance of traditionally beneficial microbial phyla (e.g., Firmicutes) with a concomitant decrease in opportunistic phyla (e.g., Proteobacteria) compared to healthy controls (p < 0.05). Large amounts of blood products and RBCs were both associated with higher α diversity (p < 0.001) and a ß diversity clustering closer to healthy controls. CONCLUSION: The human gut microbiome changes early after trauma and may be aided by early massive transfusion. Ultimately, the gut microbiome of trauma patients may provide valuable diagnostic and therapeutic insight for the improvement of outcomes postinjury. LEVEL OF EVIDENCE: Prognostic and Epidemiological, level III.

Moderate Traumatic Brain Injury Alters the Gastrointestinal Microbiome in a Time-Dependent Manner.

The microbiome is defined as the collective genomes of the microbes (composed of bacteria, bacteriophage, fungi, protozoa, and viruses) that colonize the human body, and alterations have been associated with a number of disease states. Changes in gut commensals can influence the neurologic system via the brain-gut axis, and systemic insults such as trauma or traumatic brain injury (TBI) may alter the gut microbiome. The objective of this study was to evaluate the gut microbiome in a preclinical TBI cortical impact model. Male rats underwent craniotomy and randomized to a sham group (n = 4), or a moderate TBI (n = 10) using a pneumatic impactor. MRI and behavioral assessments were performed pre-TBI and on days 2, 7, and 14 days thereafter. Microbiome composition was determined with 16s rRNA sequencing from fecal sample DNA pre-TBI and 2 hrs, 1, 3, and 7 days afterward. Alpha- and ß-bacterial diversity, as well as organizational taxonomic units (OTUs), were determined. Significant changes in the gut microbiome were evident as early as 2 h after TBI as compared with pre-injured samples and sham rats. While there were varying trends among the phylogenetic families across time, some changes persisted through 7 days in the absence of therapeutic intervention. While large structural lesions and behavioral deficits were apparent post-TBI, there were modest but significant decreases in α-diversity. Moreover, both changes in representative phyla and α-diversity measures were significantly correlated with MRI-determined lesion volume. These results suggest that changes in the microbiome may represent a novel biomarker to stage TBI severity and predict functional outcome.