Evidence map›Paper›PMID 39301472›Full record

ReviewJournal of psoriasis and psoriatic arthritis2023

Decrypting Skin Microbiome in Psoriasis: Current Status.

Preeti Arya, Manpreet Kaur, Stanzin Chosyang, Neelam Kushwaha, Balvinder Singh

Abstract readReview
In one paragraph

Review in Journal of psoriasis and psoriatic arthritis, 2023. 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. 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

5 authors.

Preeti AryaBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.ORCID https://orcid.org/0000-0002-0845-8003
Manpreet KaurBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.
Stanzin ChosyangBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.
Neelam KushwahaBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.
Balvinder SinghBioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh, India.ORCID https://orcid.org/0000-0001-7331-1895

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psoriasis is an autoimmune, chronic, inflammatory skin condition of multifactorial etiology. Recent studies in human skin microbiome research have revealed the dysbiosis in lesional skin of psoriatic patients, as well as have established the association of dysbiosis in the elicitation of inflammatory response of psoriatic skin. Objective: The present review aimed to recapitulate the insights of psoriasis lesional skin microbiome studies published in the last 2 decades, and to determine the most important bacterial genera that can be deployed as psoriatic skin microbial signature for therapeutic intervention. Methods: To achieve the stated objectives, full-text analysis of literature selected through systematic search of digital literature databases has been carried out following PRISMA guidelines. Results: Literature analysis suggests differential abundance of specific bacterial genera in the lesional psoriatic skin (LPS) compared to normal skin (NS) of psoriasis patients and skin from healthy subjects. These bacterial genera collectively can be utilized as potential biomarker for constructing lesional psoriatic skin specific microbial signature, and to explore the role of bacterial species in maintaining the skin homeostasis. The analysis further revealed that multiple bacterial species instead of a single bacterial species is important for understanding the psoriasis etiogenesis. Furthermore, decreased microbiome stability and increased diversity might have role in the exacerbation of lesions on skin of psoriatic patients. Conclusion: Considering the importance of human skin microbiome dysbiosis in psoriasis, research efforts should be carried out to develop new therapeutic measures in addition to current therapies by exploiting the human and host-skin-associated microbial genomic and metabolomic knowledge.

Indexed as

human skin microbiomeinflammationpsoriasispsoriasis etiologyskin

Identifiers

PMID39301472
PMCPMC11361554

What OpenQuestion holds

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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.