Evidence map›Paper›PMID 41614129›Full record

ReviewFrontiers in microbiology2025

Pharmacomicrobiomics in inflammatory skin diseases: past, present, and the future.

Juna Khang, Rebeca Martinez, Katherine Brag, Jean S McGee

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

4 authors.

Juna KhangDepartment of Dermatology, Brigham and Women's Hospital, Boston, MA, United States.
Rebeca MartinezDepartment of Dermatology, Brigham and Women's Hospital, Boston, MA, United States.
Katherine BragDepartment of Dermatology, Beth Israel Deaconess Medical Center, Boston, MA, United States.
Jean S McGeeDepartment of Dermatology, Brigham and Women's Hospital, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This mini review article focuses on pharmacomicrobiomics, or the study of how the composition and activity of microorganisms in the body, in particular in the gut, impact drug pharmacokinetics and pharmacodynamics. This evolving field has profound implications for personalized medicine in the management of chronic inflammatory diseases. Particularly in dermatology, patient response to an expanding collection of biologic and small molecule inhibitor therapies coming out on the market remains unpredictable. The decision to start which therapy depends on physician preference, rather than based on what is expected to be the treatment response of each individual. This therapeutic uncertainty leads to sequential treatment failures, increased patient morbidity, and substantial healthcare expenditure. This mini-review synthesizes the evidence surrounding the gut microbiome as a predictive biomarker for therapeutic response in inflammatory skin diseases. We will examine the past use of pharmacomicrobiomics in oncology, where gut microbial signatures were found to predict response to immunotherapy in melanoma. We then analyze the present, focusing on the robust translational models from inflammatory bowel disease (IBD) and rheumatoid arthritis (RA), and the established gut dysbiosis in dermatologic conditions such as psoriasis and hidradenitis suppurativa (HS). Finally, we consider the future, discussing the potential for microbiome-based diagnostics to guide therapy selection for chronic inflammatory skin diseases.

Indexed as

biomarkergut micriobiomeinflammatory diseasepharmacomicrobiomicstherapeutic

Identifiers

PMID41614129
PMCPMC12851594

What Socratic 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 Socratic graph.