Gut Microbiome and Aging 2.0
A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Gut Microbiota".
Deadline for manuscript submissions: closed (30 August 2023) | Viewed by 807
Special Issue Editor
Interests: microbiome; metabolism; probiotics; aging; hypertension
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Aging is a natural and multifactorial process for all living organisms, involving a decline in physiological functions of the host. The aging process affects the gut microbiome in particular as it is accompanied by changes in gastrointestinal (GI) physiology, predisposing a myriad of GI and metabolic disorders. The development of next-generation sequencing and metagenomics has provided insight into the function of the aging microbiome. However, research on aging and the microbiome in general has many unresolved questions regarding whether any generalizable changes can be observed in normal/healthy ageing. Some such questions include: (1) How and why does the microbiome change with aging? (2) Most available research has only looked at bacteria so far—what about other microbes, such as virus, fungi, and archaea (whole microbiome), in aging? (3) How do microbe–microbe, host–microbe, and microbe–host–metabolome interactions change with age—do they co-occur, repel, or compete? Understanding the microbial community has implications for prebiotic, probiotic, symbiotic (pre- and probiotic), and fecal transplant design and use. The objective of this Special Issue is to provide a common platform for researchers and clinicians working on human and animal research to exchange updated information. This Special Issue will consider reviews and research manuscripts ranging from laboratory to animal and human studies.
Dr. Ravichandra Vemuri
Guest Editor
Manuscript Submission Information
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Keywords
- aging
- gut microbiome
- virome
- mycobiome
- archaeome
- deits
- probiotics/synbiotics
- fecal microbial transplants
- fecal viral transplants
- genome-scale metabolic modeling
- immune system
