Cited by 60Gut microbiota and healthOral microbiology and periodontitis researchBacteriophages and microbial interactions

The human microbiome in clinical translation: from bench to bedside

Open access
Bautista, Jhommara, Echeverría, Carolina E., Maldonado-Noboa, Iván, Ojeda-Mosquera, Sofía, Hidalgo-Tinoco, Camila, López-Cortés, Andrés·2025·Frontiers in Microbiology

Abstract

The human microbiome, once regarded as a passive passenger, is now recognized as a dynamic and essential determinant of human physiology, shaping immunity, metabolism, neurodevelopment, and therapeutic responsiveness across the lifespan. Advances in multi-omic technologies, experimental models, and computational approaches have revealed mechanistic insights into how microbial communities modulate host systems across diverse body sites, including the gut, skin, lungs, oral cavity, and reproductive tract. The clinical translation of this knowledge has begun to redefine early-life programming, cardiometabolic regulation, immune homeostasis, neuropsychiatric resilience, and cancer therapy response. Innovative strategies such as phage therapy, live biotherapeutics, precision nutrition, and microbiota transplantation illustrate the therapeutic potential of harnessing microbial functions to prevent or treat disease. In parallel, large-scale initiatives cataloging the microbiome of underexplored niches, such as the vagina and skin, are advancing health equity by broadening representation in microbial reference datasets. Yet significant challenges persist, including interindividual variability, incomplete functional annotation of microbial “dark matter,” and the absence of validated biomarkers. Addressing these gaps requires standardized methodologies, harmonized regulatory frameworks, and longitudinal studies across diverse populations. This review outlines the progress and remaining hurdles in translating microbiome science into clinical practice and concludes that the microbiome now stands at the forefront of a paradigm shift, transforming concepts of disease etiology, therapeutic design, and the future of individualized medicine.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fmicb.2025.1632435

Cites

224 of 224 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The lack of standardized bioinformatic pipelines and reference values continues to hinder the translation of microbiome analysis into routine nutritional practice.

    “Nevertheless, as other authors note [157], the lack of standardized bioinformatic pipelines and reference values continues to hinder the translation of microbiome analysis into routine nutritional practice.”

    From The Seven Methods for the Evaluation of Nutritional Status—ABCDEFG: Narrative Review (2026) · cites this paper as [157]

    In “Risk and challenges in microbiome-based therapeutics” (page unavailable), the paper says bioinformatic variability produces inconsistent profiles and calls for standardized pipelines and reference databases. “Conclusions and future perspectives” (page unavailable) says a healthy microbiome remains difficult to define. These passages support barriers to clinical translation generally, but do not specifically address reference values or routine nutritional practice. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bautista, J., Echeverría, C. E., Maldonado-Noboa, I., Ojeda-Mosquera, S., Hidalgo-Tinoco, C., & López-Cortés, A.
Affiliations
  • Universidad de Las Américas (EC)
  • New York University (US)
Venue
Frontiers in Microbiology
Published
2025-09-16
Volume
16
Pages
1632435-1632435
ISSN
1664-302X (ISSN-L)
OpenAlex
W4414253972
Cited by
55
References
224
Citations by year
2026: 47 · 2025: 8
FWCI
4.87
Type
journal article
Language
en
Open access
Locations
  • Frontiers in Microbiology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
  • Physical Sciences › Environmental Science › Ecology › Bacteriophages and microbial interactions
Keywords
human microbiome, clinical translation, microbiota-based therapy, phage therapy, live biotherapeutic products, personalized nutrition, microbiota transplantation, gut microbiota, skin microbiome, vaginal microbiota, early life programming, immune homeostasis, cancer therapy response, interindividual variability, microbial dark matter, health equity, regulatory framework, personalized medicine

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review