Evidence map›Paper›PMID 38924840›Full record

ArticleEBioMedicine2024

Exploratory multi-omics analysis reveals host-microbe interactions associated with disease severity in psoriatic skin.

Ying Yang, Peter Olah, Zoltan Radai, Guilherme Maia, Alexander Salava, Ville Salo, Jonathan Barker, Antti Lauerma, Björn Andersson, Bernhard Homey and 2 more

Abstract read
In one paragraph

Article in EBioMedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. CD74Journal of translational medicine · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

12 authors.

Ying YangInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Peter OlahDepartment of Dermatology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine University Duesseldorf, Germany; Department of Dermatology, Venereology and Oncodermatology, Medical Faculty, University of Pécs, Hungary.
Zoltan RadaiDepartment of Dermatology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine University Duesseldorf, Germany; One Health Institute, Faculty of Health Sciences, University of Debrecen, Hungary.
Guilherme MaiaDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Alexander SalavaDepartment of Dermatology, Allergology and Venereology, University of Helsinki and Helsinki University Hospital, Inflammation Centre, Helsinki, Finland.
Ville SaloDepartment of Dermatology, Allergology and Venereology, University of Helsinki and Helsinki University Hospital, Inflammation Centre, Helsinki, Finland.
Jonathan BarkerSt John's Institute of Dermatology, Kings College London, London, UK.
Antti LauermaDepartment of Dermatology, Allergology and Venereology, University of Helsinki and Helsinki University Hospital, Inflammation Centre, Helsinki, Finland.
Björn AnderssonDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.
Bernhard HomeyDepartment of Dermatology, Medical Faculty and University Hospital Duesseldorf, Heinrich-Heine University Duesseldorf, Germany.
Nanna FyhrquistInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
Harri AleniusInstitute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Human Microbiome Research Program (HUMI), Medical Faculty, University of Helsinki, Finland. Electronic address: harri.alenius@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsoriasis (Pso) is a chronic inflammatory skin disease that poses both physical and psychological challenges. Dysbiosis of the skin microbiome has been implicated in Pso, yet a comprehensive multi-omics analysis of host-microbe interactions is still lacking. To bridge this gap, we conducted an exploratory study by adopting the integrated approach that combines whole metagenomic shotgun sequencing with skin transcriptomics.

methodsThis was a cross-sectional study, adult patients with plaque-type Psoriasis (Pso) and healthy volunteers were included. Skin microbiota samples and biopsies were collected from both lesional and non-lesional skin areas on the lower back. Weighted Gene Correlation Network Analysis (WGCNA) was employed for co-expression network analysis, and cell deconvolution was conducted to estimate cell fractions. Taxonomic and functional features of the microbiome were identified using whole metagenomic shotgun sequencing. Association between host genes and microbes was analyzed using Spearman correlation.

findingsHost anti-viral responses and interferon-related networks were identified and correlated with the severity of psoriasis. The skin microbiome showed a greater prevalence of Corynebacterium simulans in the PASI severe-moderate groups, which correlated with interferon-induced host genes. Two distinct psoriatic clusters with varying disease severities were identified. Variations in the expression of cell apoptosis-associated antimicrobial peptides (AMPs) and microbial aerobic respiration I pathway may partly account for these differences in disease severity.

interpretationOur multi-omics analysis revealed for the first time anti-viral responses and the presence of C. simulans associated with psoriasis severity. It also identified two psoriatic subtypes with distinct AMP and metabolic pathway expression. Our study provides new insights into understanding the host-microbe interaction in psoriasis and lays the groundwork for developing subtype-specific strategies for managing this chronic skin disease.

fundingThe research has received funding from the FP7 (MAARS-Grant 261366) and the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 821511 (BIOMAP). The JU receives support from the European Union's Horizon 2020 research and innovation programme and EFPIA. This publication reflects only the author's view and the JU is not responsible for any use that may be made of the information it contains. GAM was supported by a scholarship provided by CAPES-PRINT, financed by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES (Brazilian Government Agency). The authors thank all patients who participated in our study.

Indexed as

Host Microbial InteractionsMetagenomicsMicrobiotaPsoriasisSeverity of Illness IndexSkinAdultComputational BiologyCross-Sectional StudiesFemaleGene Expression ProfilingGene Regulatory NetworksHost-Pathogen InteractionsHumansMaleMetagenomeMicrobiomeMulti-omicsPsoriasisSkinTranscriptome

Identifiers

PMID38924840
PMCPMC11259698

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.