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- Microbiome
Time of Sample Collection Is Critical for the Replicability of Microbiome Analyses
Allaband et al., Nature Metabolism. 2024.
https://pubmed.ncbi.nlm.nih.gov/38951660/
Lack of replicability remains a challenge in microbiome studies. As the microbiome field moves from descriptive and associative research to mechanistic and interventional studies, being able to account for all confounding variables in the experimental design will be critical. Researchers conducted a retrospective analysis of 16S amplicon sequencing studies in male mice. They report that sample collection time affects the conclusions drawn from microbiome studies. The lack of consistency in the time of sample collection could help explain poor cross-study replicability in microbiome research. The effect of diurnal rhythms on the outcomes and study designs of other fields is unknown but is likely significant. Supported by ORIP (T32OD017863), NCATS, NCI, NHLBI, NIAAA, NIAID, NIBIB, NIDDK, and NIGMS.
Antibiotic-Induced Gut Dysbiosis Elicits Gut–Brain–Axis Relevant Multi-Omic Signatures and Behavioral and Neuroendocrine Changes in a Nonhuman Primate Model
Hayer et al., Gut Microbes. 2024.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10826635/
Gut microbiome–mammalian cell interactions influence the development of metabolic, immune-mediated, and neuropsychiatric disorders. Dysbiosis of the gut microbiome has been linked to behavioral characteristics in previous nonhuman primate (NHP) studies, but additional studies using NHPs are necessary to understand microbiota–gut–brain communication. The authors sought to evaluate whether antibiotic-induced gut dysbiosis can elicit changes in gut metabolites and behavior indicative of gut–brain axis disruption in common marmosets of both sexes. For the first time in an NHP model, this study demonstrated that antibiotics induce gut dysbiosis, alter gut metabolites relevant to gut–brain communication, affect neuroendocrine responses in response to stressful stimuli, and change social behavior. Supported by ORIP (K01OD030514), NCI, and NIGMS.
Intestinal Microbiota Controls Graft-Versus-Host Disease Independent of Donor–Host Genetic Disparity
Koyama et al., Immunity. 2023.
https://pubmed.ncbi.nlm.nih.gov/37480848/
Allogeneic hematopoietic stem cell transplantation is a curative therapy for hematopoietic malignancies and non-malignant diseases, but acute graft-versus-host disease (GVHD) remains a serious complication. Specifically, severe gut GVHD is the major cause of transplant-related mortality. Here, the authors show that genetically identical mice, sourced from different vendors, had distinct commensal bacterial compositions, which resulted in significantly discordant severity in GVHD. These studies highlight the importance of pre-transplant microbiota composition for the initiation and suppression of immune-mediated pathology in the gastrointestinal tract, demonstrating the impact of non-genetic environmental determinants to transplant outcome. Supported by ORIP (S10OD028685), NIA, NCI, and NHLBI.
Large Comparative Analyses of Primate Body Site Microbiomes Indicate That the Oral Microbiome Is Unique Among All Body Sites and Conserved Among Nonhuman Primates
Asangba et al., Microbiology Spectrum. 2022.
https://www.doi.org/10.1128/spectrum.01643-21
Microbiomes are critical to host health and disease, but large gaps remain in the understanding of the determinants, coevolution, and variation of microbiomes across body sites and host species. Thus, researchers conducted the largest comparative study of primate microbiomes to date by investigating microbiome community composition at eight distinct body sites in 17 host species. They found that the oral microbiome is unique in exhibiting notable similarity across primate species while being distinct from the microbiomes of all other body sites and host species. This finding suggests conserved oral microbial niche specialization, despite substantial dietary and phylogenetic differences among primates. Supported by ORIP (P51OD010425, P51OD011107, P40OD010965, R01OD010980), NIA, NIAID, and NICHD.