Skip to main content

Filter Search Results

Publication Year

Animal Models

Topic Area

Methods

Funding Mechanism

Division of Comparative Medicine

Division of Construction and Instruments

Collaborating ICs

Selected Grantee Publications

Integrative Multi-omics Analysis Uncovers Tumor-Immune-Gut Axis Influencing Immunotherapy Outcomes in Ovarian Cancer

Rosario et al., Nature Communications. 2024.

https://pubmed.ncbi.nlm.nih.gov/39638782

Recurrent ovarian cancer (OC) is the deadliest gynecological malignancy, with a 5-year survival rate of 50% and a median progression-free survival (PFS) of 1.9 to 2.1 months. A trial cohort of 40 patients was treated with a combination of the anti-PD-1 pembrolizumab, the anti–vascular endothelial growth factor bevacizumab, and cyclophosphamide. The investigators conducted a multi-omics analysis—including transcriptomic analysis, digital spatial profiling, 16s-rRNA sequencing, and metabolomics—to understand the underlying mechanisms for the enhanced PFS to a median of 10.2 months and overall response rate of 47.5%. Multi-omics analysis highlighted the formation of tertiary lymphoid structures known to improve responses to immunotherapy, differential microbial patterns, and alterations in the metabolites in three key metabolism pathways that enhanced immune response in patients to produce a durable clinical response. These findings highlight the importance of the tumor microenvironment and the gut microbiome, along with its metabolites, in elevating the efficacy of the cocktail therapy in recurrent OC patients, thereby enhancing their survival and quality of life. Supported by ORIP (S10OD024973) and NCI.

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.

Intestinal Epithelial Adaptations to Vertical Sleeve Gastrectomy Defined at Single-Cell Resolution

Koch-Laskowski et al., Genomics. 2024.

https://pubmed.ncbi.nlm.nih.gov/38309446/

Perturbations in the intestinal epithelium have been linked to the pathogenesis of metabolic disease. Bariatric procedures, such as vertical sleeve gastrectomy (VSG), cause gut adaptations that induce robust metabolic improvements. Using a male mouse model, the authors assessed the effects of VSG on different cell lineages of the small intestinal epithelium. They show that Paneth cells display increased expression of the gut peptide Reg3g after VSG. Additionally, VSG restores pathways pertaining to mitochondrial respiration and cellular metabolism, especially within crypt-based cells. Overall, this work demonstrates how adaptations among specific cell types can affect gut epithelial homeostasis; these findings can help researchers develop targeted, less invasive treatment strategies for metabolic disease. Supported by ORIP (F30OD031914), NCI, and NIDDK.

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.