Evidence map›Paper›PMID 40687859›Full record

ArticleFrontiers in microbiology2025

Dysbiosis and genomic plasticity in the oily scalp microbiome: a multi-omics analysis of dandruff pathogenesis.

Han Yu, Jiayi Li, Yan Wang, Tongze Zhang, Tahir Mehmood, Olivier Habimana

Abstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. A synergistic herbal formulation targetingFrontiers in microbiology · 2025
    Article
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.

Han YuBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China.
Jiayi LiBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China.
Yan WangBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China.
Tongze ZhangBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China.
Tahir MehmoodBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China.
Olivier HabimanaBiotechnology and Food Engineering Program, Guangdong Technion-Israel Institute of Technology, Shantou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dandruff, affecting ~50% of the global population, is a prevalent scalp condition linked to microbial dysbiosis and inflammation, significantly impacting quality of life. Methods: This study employed an integrative omics approach, utilizing 16S rRNA and ITS1 amplicon sequencing alongside shotgun metagenomics, to analyze the scalp microbiome of 65 individuals with varying scalp conditions (healthy oily, healthy non-oily, and dandruff oily). Results: Distinct microbial profiles were identified, with an increased abundance of pathogenic genera such as Staphylococcus in the dandruff oily (DO) group, contrasted with the presence of Cutibacterium in healthy cohorts. Discussion: Functional profiling revealed elevated DNA repair mechanisms in the DO group, indicative of stress stemming from pathogen overgrowth, while healthy non-oily samples demonstrated enhanced functions for scalp homeostasis. Notably, the increase in genomic plasticity in the DO group, characterized by antimicrobial resistance genes and mobile elements, underscores the complex interplay of microbial dynamics in dandruff pathology, advocating for microbiome-targeted therapies.

Indexed as

dandruffdysbiosisgenomic plasticityhorizontal gene transfermetagenomicsmulti-omicsscalp microbiome

Identifiers

PMID40687859
PMCPMC12271121

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Registered trials

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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.