topicPrebiotic Fiber Gut Microbiome Randomized Trial
claimDiet with rich animal fats and processed sugars, coupled with low intakes of fruits, vegetables, and whole grains, substantially elevate CLD risk ().
evidence level3
citationRay Suryapratap (2026)
sourceMillet: a functional powerhouse against chronic lifestyle disease
topicPrebiotic Fiber Gut Microbiome Randomized Trial
claimLeft section lists millet attributes such as low glycemic index, polyphenols, and prebiotics, highlighting their mechanisms including improved insulin sensitivity, cardiovascular health, healthy weight management, lower diabetes risk, and reduced inflammation.
evidence level3
citationRay Suryapratap (2026)
sourceMillet: a functional powerhouse against chronic lifestyle disease
topicPrebiotic Fiber Gut Microbiome Randomized Trial
claimMiddle section illustrates health risks from insufficient millet intake, including iron-deficiency anemia, increased cardiovascular risk, digestive disorders, obesity, and neurodegenerative risk.
evidence level3
citationRay Suryapratap (2026)
sourceMillet: a functional powerhouse against chronic lifestyle disease
topicPrebiotic Fiber Gut Microbiome Randomized Trial
claim1 2 3 Chronic lifestyle diseases (CLDs) are classes of non-communicable conditions like cardiovascular diseases, diabetes, and obesity which are driven by poor diet and low physical activity.
evidence level3
citationRay Suryapratap (2026)
sourceMillet: a functional powerhouse against chronic lifestyle disease
topicPrebiotic Fiber Gut Microbiome Randomized Trial
claimTo address these knowledge gaps, we examined how interventions targeting fermentative output, such as antibiotic depletion, SCFA supplementation, and prebiotic enrichment, influence VWR acquisition and associated neuroendocrine responses.
evidence level4
citationHutchinson Noah Thomas (2026)
sourceFermentation capacity of the gut microbiota influences exercise motivation and neuroendocrine integration
topicPrebiotic Fiber Gut Microbiome Randomized Trial
claimUsing bioinformatic tools for functional metagenomic prediction alongside behavioral and physiological phenotyping, we demonstrate that predicted fermentative capacity of the microbiota is associated with exercise motivation.
evidence level4
citationHutchinson Noah Thomas (2026)
sourceFermentation capacity of the gut microbiota influences exercise motivation and neuroendocrine integration
topicPrebiotic Fiber Gut Microbiome Randomized Trial
claimFinally, we demonstrate initial evidence of the microbiota’s role in neuroendocrine integration of metabolic signals during exercise.
evidence level4
citationHutchinson Noah Thomas (2026)
sourceFermentation capacity of the gut microbiota influences exercise motivation and neuroendocrine integration
topicPrebiotic Fiber Gut Microbiome Randomized Trial
claim1 – 6 7 8 9 10 11 The physical inactivity of over 50% of adults worldwide is responsible for an estimated $53.8 billion in healthcare expenditure and roughly 9% of premature mortality, and current interventions fail to induce motivation to exercise ().
evidence level4
citationHutchinson Noah Thomas (2026)
sourceFermentation capacity of the gut microbiota influences exercise motivation and neuroendocrine integration