Evidence map›Paper›PMID 24451201›Full record

ArticleMicrobiome2013

Community differentiation of the cutaneous microbiota in psoriasis.

Alexander V Alekseyenko, Guillermo I Perez-Perez, Aieska De Souza, Bruce Strober, Zhan Gao, Monika Bihan, Kelvin Li, Barbara A Methé, Martin J Blaser

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in Microbiome, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 216 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
216citing papers in PubMed, 3 pooled it
19.7field-weighted citation impact, top 1% 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.

NCT03149900 completednot on this mapstarted 2016, after this paper: background citation

Exploratory Evaluation of Biomarkers Associated With Treatment Response to Cosentyx (Secukinumab) in Psoriasis Patients

TypeobservationalSponsorDiamant ThaciRan2016 to 2019Enrolled40ConditionsPsoriasis VulgarisArmsSecukinumab
NCT07209007 recruitingnot on this mapstarted 2025, after this paper: background citation

An Exploratory Study on the Dynamics of Microbiome Dysbiosis (Microbial Imbalance) in the Skin and Gut Microbiome of Burn Patients

TypeobservationalSponsorCho Yoon sooRan2025 to 2030Enrolled600ConditionsBurn Injuries, Skin Disease, Microbiome, Microbiome DysbiosisArmsNo Intervention: Observational Cohort
3 · Its place in the literature

Who cites it

216 citing papers in PubMed, 3 syntheses or guidelines pooled it, 452 citations in OpenAlex.

  1. Pooled it
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  11. Pharmaceutics · 2026
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  18. Gut-skin axis: Emerging insights for gastroenterologists-a narrative review.World journal of gastrointestinal pathophysiology · 2025
    Review
  19. Single-cell quantification of the microbiota by flow cytometry: MicFLY.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

156 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 1 country.

Alexander V AlekseyenkoCenter for Health Informatics and Bioinformatics, New York University School of Medicine, 227 E 30th Street, 7th Floor, #740, New York, NY 10016, USA. Alexander.Alekseyenko@nyumc.org.
Guillermo I Perez-Perez
Aieska De Souza
Bruce Strober
Zhan Gao
Monika Bihan
Kelvin Li
Barbara A Methé
Martin J Blaser
New York University · USJ. Craig Venter Institute · USBoston University · USUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsoriasis is a common chronic inflammatory disease of the skin. We sought to characterize and compare the cutaneous microbiota of psoriatic lesions (lesion group), unaffected contralateral skin from psoriatic patients (unaffected group), and similar skin loci in matched healthy controls (control group) in order to discern patterns that govern skin colonization and their relationship to clinical diagnosis.

resultsUsing high-throughput 16S rRNA gene sequencing, we assayed the cutaneous bacterial communities of 51 matched triplets and characterized these samples using community data analysis techniques. Intragroup Unifrac β diversity revealed increasing diversity from control to unaffected to lesion specimens. Likewise, principal coordinates analysis (PCoA) revealed separation of the lesion samples from unaffected and control along the first axis, suggesting that psoriasis is a major contributor to the observed diversity. The taxonomic richness and evenness decreased in both lesion and unaffected communities compared to control. These differences are explained by the combined increased abundance of the four major skin-associated genera (Corynebacterium, Propionibacterium, Staphylococcus, and Streptococcus), which present a potentially useful predictor for clinical skin type. Psoriasis samples also showed significant univariate decreases in relative abundances and strong classification performance of Cupriavidus, Flavisolibacter, Methylobacterium, and Schlegelella genera versus controls. The cutaneous microbiota separated into two distinct clusters, which we call cutaneotypes: (1) Proteobacteria-associated microbiota, and (2) Firmicutes-associated and Actinobacteria-associated microbiota. Cutaneotype 2 is enriched in lesion specimens compared to control (odds ratio 3.52 (95% CI 1.44 to 8.98), P <0.01).

conclusionsOur results indicate that psoriasis induces physiological changes both at the lesion site and at the systemic level, which select for specific differential microbiota among the assayed clinical skin types. These differences in microbial community structure in psoriasis patients are potentially of pathophysiologic and diagnostic significance.

Identifiers

PMID24451201
PMCPMC4177411
OpenAlexW2146131641

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.