Evidence map›Paper›PMID 38841413›Full record

ReviewMicrobiome research reports2024

Past, present, and future of microbiome-based therapies.

Pilar Manrique, Ignacio Montero, Marta Fernandez-Gosende, Noelia Martinez, Claudio Hidalgo Cantabrana, David Rios-Covian

Abstract readReview
In one paragraph

Review in Microbiome research reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Pharmacomicrobiomics-driven targeted drug delivery for precision microbiome modulation.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
    Review
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  6. Article
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  18. Pathogens (Basel, Switzerland) · 2024
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Pilar ManriqueDepartment of R&D, Microviable Theapeutics S.L., Gijón 33203, Spain.
Ignacio MonteroDepartment of R&D, Microviable Theapeutics S.L., Gijón 33203, Spain.
Marta Fernandez-GosendeDepartment of R&D, Microviable Theapeutics S.L., Gijón 33203, Spain.
Noelia MartinezDepartment of R&D, Microviable Theapeutics S.L., Gijón 33203, Spain.
Claudio Hidalgo CantabranaDepartment of R&D, Microviable Theapeutics S.L., Gijón 33203, Spain.
David Rios-CovianDepartment of R&D, Microviable Theapeutics S.L., Gijón 33203, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advances in studying the human microbiome in depth have enabled the identification of microbial signatures associated with health and disease. This confirms the crucial role of microbiota in maintaining homeostasis and the host health status. Nowadays, there are several ways to modulate the microbiota composition to effectively improve host health; therefore, the development of therapeutic treatments based on the gut microbiota is experiencing rapid growth. In this review, we summarize the influence of the gut microbiota on the development of infectious disease and cancer, which are two of the main targets of microbiome-based therapies currently being developed. We analyze the two-way interaction between the gut microbiota and traditional drugs in order to emphasize the influence of gut microbial composition on drug effectivity and treatment response. We explore the different strategies currently available for modulating this ecosystem to our benefit, ranging from 1st generation intervention strategies to more complex 2nd generation microbiome-based therapies and their regulatory framework. Lastly, we finish with a quick overview of what we believe is the future of these strategies, that is 3rd generation microbiome-based therapies developed with the use of artificial intelligence (AI) algorithms.

Indexed as

biological drugsLBPMBPMicrobiome-based therapiesmicrobiota

Identifiers

PMID38841413
PMCPMC11149097

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.