Evidence map›Paper›PMID 37941849›Full record

ArticleClinical, cosmetic and investigational dermatology2023

Metabolomics Reveals Molecular Signatures for Psoriasis Biomarkers and Drug Targets Discovery.

Qian Song, Ying Chen, JianQing Ma, Wei Zhou, JunYan Song, ChunFu Wu, Jie Liu

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Elucidating the Multi-Target Anti-Pruritic Mechanism ofCurrent issues in molecular biology · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. 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

7 authors at 4 institutions in 1 country.

Qian Song *Department of Medical Laboratory, North China Medical & Health Group Xingtai General Hospital, Orthopedic Hospital of Xingtai, Xingtai, People's Republic of China.
Ying Chen *BGI Genomics, BGI-Shenzhen, Shenzhen, People's Republic of China.
JianQing MaDepartment of Medical Laboratory, North China Medical & Health Group Xingtai General Hospital, Orthopedic Hospital of Xingtai, Xingtai, People's Republic of China.
Wei ZhouChina National Genebank, BGI-Shenzhen, Shenzhen, People's Republic of China.
JunYan SongDepartment of Medical Laboratory, North China Medical & Health Group Xingtai General Hospital, Orthopedic Hospital of Xingtai, Xingtai, People's Republic of China.
ChunFu WuYantai Harbor Hospital, Yantai, People's Republic of China.
Jie LiuBGI Genomics, BGI-Shenzhen, Shenzhen, People's Republic of China.ORCID 0000-0002-1069-2384
Hebei Medical University · CNBGI Group (China) · CNChina National GeneBank · CNYantaishan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Psoriasis is a chronic, multi-system skin disease that can be influenced by immunological, environmental, and genetic factors. Plasma metabolomic analysis can provide a great deal of information on potential diagnostic biomarkers, pathogenesis and personalized treatment. However, the role of metabolites in psoriasis is unknown. Patients and Methods: We performed an untargeted metabolomic analysis of plasma based on high-resolution liquid chromatography mass spectrometry from 10 plaque psoriasis patients and 10 healthy controls. Results: A total of 301 differential metabolites were detected, of which 10 metabolites were possible potential biomarkers, including vitamins, amino acids, and lipids. At the same time, KEGG pathway enrichment analysis was performed for all detected differential metabolites, and it was found that protein digestion and absorption, amino acid metabolism and lipid metabolism may be jointly involved in regulating the pathogenesis of psoriasis. In addition, the proteins ESR1, OPRM1 and HSD11B1 were identified as possible potential topical therapeutic targets for psoriasis through analysis of the metabolite-protein interaction network. Conclusion: In this study, we identified 10 differential metabolites as possible potential combinatorial biomarkers for the diagnosis of psoriasis. 12 metabolic pathways were significantly enriched that may be closely related to the occurrence and development of psoriasis. Three proteins, ESR1, OPRM1, and HSD11B1, were identified as possible potential therapeutic targets for psoriasis.

Indexed as

biomarkerKEGG pathwaymetabolomicspsoriasistherapeutic target

Identifiers

PMID37941849
PMCPMC10631377
OpenAlexW4388327873

What OpenQuestion holds

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LicenceCC BY-NC
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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.