Evidence map›Paper›PMID 42609478›Full record

ReviewResearch (Washington, D.C.)2026

The Scalp Microbiome-Hair Axis: Mechanisms and Therapeutic Translation.

Ting Li, Dongni Yao, Feng Cheng, Xiaozhou Mou, Qiong Bian

Abstract readReview
In one paragraph

Review in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Ting LiCenter for Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Dongni YaoCollege of Bioengineering, Zhejiang University of Technology, Hangzhou 310014, Zhejiang, China.
Feng ChengNational and Local Joint Engineering Research Center for Biomanufacturing of Chiral Chemicals, College of Biotechnology and Bioengineering, Zhejiang University of Technology, Hangzhou 310014, China.
Xiaozhou MouCenter for Rehabilitation Medicine, Rehabilitation & Sports Medicine Research Institute of Zhejiang Province, Department of Rehabilitation Medicine, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Qiong BianCenter for Plastic & Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou 310014, Zhejiang, China.ORCID https://orcid.org/0009-0000-1181-8738

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hair loss is common and can markedly impair quality of life, yet the contribution of the scalp microbiome to alopecia remains fragmented across disease subtypes and mechanistic levels. This review aims to construct a clinically relevant and mechanistically coherent framework for the scalp microbiome-hair axis. We first summarize the composition and physiological functions of the scalp microbiome, including its roles in barrier integrity, immune regulation, and nutrient metabolism. We then compare dysbiosis patterns across androgenetic alopecia, alopecia areata, seborrheic dermatitis-associated hair loss, and folliculitis/scarring alopecia. This comparison identifies a shared pathogenic layer-barrier disruption, innate immune activation, altered lipid or metabolite processing, and impaired anagen support-together with subtype-selective mechanisms, including immune-privilege collapse in alopecia areata, androgen-lipid-microbiome coupling in androgenetic alopecia,

Identifiers

PMID42609478
PMCPMC13478509

What Socratic holds

Textmetadata
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.