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Human gut microbiota and healthy aging: Recent developments and future prospective.

Manish Kumar1, Parizad Babaei1, Boyang Ji1

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The aging human gut microbiota loses beneficial bacteria, increasing disease risk. Genome-scale metabolic modeling can reveal diet-microbe-host links to develop targeted probiotics and prebiotics.

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Area of Science:

  • Microbiology
  • Systems Biology
  • Gerontology

Background:

  • The human gut microbiota composition and function change significantly throughout life, from infancy to old age.
  • Aging is associated with a decline in beneficial gut microbes, such as Bifidobacteria, potentially leading to gut-related diseases like inflammatory bowel disease.
  • Dietary interventions, including plant-based diets and probiotics/prebiotics, show promise in modulating the gut microbiota but require deeper mechanistic understanding.

Approach:

  • Utilizing genome-scale metabolic modeling to analyze the complex interactions between diet, gut microbes, and host physiology.
  • Exploring the metabolic capabilities of individual microbial species within the gut ecosystem.
  • Employing a systems biology approach to predict age-related shifts in gut microbiota metabolism.

Key Points:

  • Gut microbiota undergoes substantial changes during aging, with a decrease in beneficial species.
  • Diet, microbial composition, and host health are intricately linked, though these connections are not fully elucidated.
  • Genome-scale metabolic modeling offers a powerful tool to investigate these relationships and understand microbial metabolic functions.

Conclusions:

  • Genome-scale metabolic modeling can illuminate the connections between diet, gut microbes, and host health.
  • This approach can predict metabolic alterations in the aging gut microbiota.
  • Findings can guide the development of more effective probiotics and prebiotics to counteract age-related gut dysbiosis.