subject area of
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- Applying precision to the design and interpretation of dietary trials Letter
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- Can Gut Microbiota Composition Predict Response to Dietary Treatments? Academic Article
- Concepts Collide: Genomic, Immune, and Microbial Influences on the Tumor Microenvironment and Response to Cancer Therapy Academic Article
- Effects of dietary inulin supplementation on the composition and dynamics of cecal microbiota and growth-related parameters in broiler chickens Academic Article
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- Exercise improves metabolic function and alters the microbiome in rats with gestational diabetes Academic Article
- Faecalibacterium diversity in dairy cow milk Academic Article
- Gastrointestinal dysfunction in patients and mice expressing the autism‐associated R451C mutation in neuroligin‐3 Academic Article
- Gut microbiome modulates response to anti–PD-1 immunotherapy in melanoma patients Academic Article
- Influence of Tryptophan and Serotonin on Mood and Cognition with a Possible Role of the Gut-Brain Axis. Academic Article
- Microbial Factors Associated with Postoperative Crohn’s Disease Recurrence Academic Article
- Mining possible associations of faecal A. muciniphila colonisation patterns with host adiposity and cardiometabolic markers in an adult population Academic Article
- NLRP1 restricts butyrate producing commensals to exacerbate inflammatory bowel disease Academic Article
- Neonatal antibiotics disrupt motility and enteric neural circuits in mouse colon Academic Article
- Re-challenging FODMAPs: the low FODMAP diet phase two Academic Article
- Recent advances in characterizing the gastrointestinal microbiome in Crohn's disease: A systematic review Academic Article
- The clinical value of breath hydrogen testing Academic Article
- The effects of grape and red wine polyphenols on gut microbiota – A systematic review Academic Article
- The host microbiome and impact of tuberculosis chemotherapy Academic Article
- Untangling the 2-Way Relationship Between Red Wine Polyphenols and Gut Microbiota Editorial Article
- Whole rumen metagenome sequencing allows classifying and predicting feed efficiency and intake levels in cattle Academic Article