Evidence map›Paper›PMID 33652789›Full record

ReviewBiomedicines2021

The Potential Relevance of the Microbiome to Hair Physiology and Regeneration: The Emerging Role of Metagenomics.

Andria Constantinou, Varvara Kanti, Katarzyna Polak-Witka, Ulrike Blume-Peytavi, George M Spyrou, Annika Vogt

Open access · goldAbstract readReview
In one paragraph

Review in Biomedicines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
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

22 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The Extract ofCurrent issues in molecular biology · 2025
    Article
  5. Cutaneous and Gut Dysbiosis in Alopecia Areata: A Review.JID innovations : skin science from molecules to population health · 2025
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Gut microbiome, metabolome and alopecia areata.Frontiers in microbiology · 2023
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. 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 at 2 institutions in 2 countries.

Andria ConstantinouClinical Research Center for Hair and Skin Science, Department of Dermatology, Venereology and Allergy, Charité-Universitatsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.ORCID 0000-0002-6569-8636
Varvara KantiClinical Research Center for Hair and Skin Science, Department of Dermatology, Venereology and Allergy, Charité-Universitatsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Katarzyna Polak-WitkaClinical Research Center for Hair and Skin Science, Department of Dermatology, Venereology and Allergy, Charité-Universitatsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Ulrike Blume-PeytaviClinical Research Center for Hair and Skin Science, Department of Dermatology, Venereology and Allergy, Charité-Universitatsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
George M SpyrouBioinformatics ERA Chair, The Cyprus Institute of Neurology and Genetics, 6 Iroon Avenue, 2371 Ayios Dometios, Nicosia, Cyprus.ORCID 0000-0002-2470-3363
Annika VogtClinical Research Center for Hair and Skin Science, Department of Dermatology, Venereology and Allergy, Charité-Universitatsmedizin Berlin, Corporate Member of Freie Universitaet Berlin and Humboldt-Universitaet zu Berlin, Charitéplatz 1, 10117 Berlin, Germany.
Clinical Research Center for Hair and Skin Science · DECyprus Institute of Neurology and Genetics · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human skin and hair follicles are recognized sites of microbial colonization. These microbiota help regulate host immune mechanisms via an interplay between microbes and immune cells, influencing homeostasis and inflammation. Bacteria affect immune responses by controlling the local inflammatory milieu, the breakdown of which can result in chronic inflammatory disorders. Follicular microbiome shifts described in some inflammatory cutaneous diseases suggest a link between their development or perpetuation and dysbiosis. Though the hair follicle infundibulum is an area of intense immunological interactions, bulb and bulge regions represent immune-privileged niches. Immune privilege maintenance seems essential for hair growth and regeneration, as collapse and inflammation characterize inflammatory hair disorders like alopecia areata and primary cicatricial alopecia. Current research largely focuses on immunological aberrations. However, studies suggest that external stimuli and interactions across the follicular epithelium can have profound effects on the local immune system, homeostasis, and cycling. Herein, we review hair follicle bacterial colonization, its possible effects on the underlying tissue, and links to the pathogenesis of alopecia, beyond the pure investigation of specific species abundance. As skin microbiology enters the metagenomics era, multi-dimensional approaches will enable a new level of investigations on the effects of microorganisms and metabolism on host tissue.

Indexed as

alopeciabacteriabioinformaticsdysbiosisfollicular microbiomehair diseasehair folliclehair lossmetagenomicsnext generation sequencing

Identifiers

PMID33652789
PMCPMC7996884
OpenAlexW3134211683

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.