Evidence map›Paper›PMID 36172384›Full record

ArticleFrontiers in immunology2022

L36G is associated with cutaneous antiviral competence in psoriasis.

You-Wang Lu, Yong-Jun Chen, Nian Shi, Lu-Hui Yang, Hong-Mei Wang, Rong-Jing Dong, Yi-Qun Kuang, Yu-Ye Li

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 31% 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, 10 citations in OpenAlex.

  1. Exploration of shared gene signatures and molecular mechanisms between psoriasis and COVID-19: evidence from transcriptome data.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Article
  2. Article
  3. When ISG15 is involved in inflammation.Frontiers in immunology · 2026
    Review
  4. Article
  5. UnravelingFrontiers in oncology · 2024
    Review
  6. Article
  7. Bioinformatics analysis to reveal the potential comorbidity mechanism in psoriasis and nonalcoholic steatohepatitis.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

You-Wang LuDepartment of Dermatology and Venereology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yong-Jun ChenDepartment of Dermatology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, China.
Nian ShiDepartment of Dermatology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Huangshi, China.
Lu-Hui YangDepartment of Dermatology and Venereology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Hong-Mei WangDepartment of Dermatology and Venereology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Rong-Jing DongDepartment of Dermatology and Venereology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Yi-Qun KuangNHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming Medical University, Kunming, China.
Yu-Ye LiDepartment of Dermatology and Venereology, First Affiliated Hospital of Kunming Medical University, Kunming, China.
Kunming Medical University · CNFirst Affiliated Hospital of Kunming Medical University · CNHubei Polytechnic University · CNHuangshi Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psoriasis is a common inflammatory skin disease that has a great impact on patients' physical and mental health. However, the causes and underlying molecular mechanisms of psoriasis are still largely unknown. Methods: The expression profiles of genes from psoriatic lesion samples and skin samples from healthy controls were integrated Results: We identified 148 DEGs between psoriatic and healthy samples. GO and KEGG pathway enrichment analysis suggested that DEGs are mainly involved in the defense response to other organisms. The PPI network showed that 11 antiviral proteins (AVPs) were hub genes. scGSEA analysis in the single-cell transcriptome dataset showed that those hub genes are highly expressed in keratinocytes, especially in suprabasal keratinocytes. ISG15, MX1, IFI44L, and IFI27 were the characteristic genes of psoriasis in suprabasal keratinocytes. scWGCNA showed that three cytokines-IL36G, MIF, and IL17RA-were co-expressed in the turquoise module. Only interleukin-36 gamma (IL36G) was positively correlated with AVPs in the integrated dataset. IL36G and AVPs were found co-expressed in a substantial number of suprabasal keratinocytes. Furthermore, we found that the expression levels of IL36G and the 4 AVPs showed positive correlation with PASI score in patients with psoriasis, and that these levels decreased significantly during treatment with biological therapies, but not with methotrexate. Conclusion: IL36G and antiviral proteins may be closely related with the pathogenesis of psoriasis, and they may represent new candidate molecular markers for the occurrence and severity of psoriasis.

Indexed as

Gene Expression ProfilingInterleukin-1PsoriasisAntiviral AgentsComputational BiologyCytokinesHumansInterleukinsMethotrexateAntiviral AgentsCytokinesIL36G protein, humanInterleukin-1InterleukinsMethotrexateantiviral protein (AVP)IL36Gkeratinocytepsoriasistreatment

Identifiers

PMID36172384
PMCPMC9510771
OpenAlexW4297872425

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.