Evidence map›Paper›PMID 38333021›Full record

ArticleInternational journal of general medicine2024

SPRR1B is Related to the Immune Microenvironment and Can Be Used as a Biomarker for the Diagnosis of Psoriasis.

Siyu Hao, Jiuyi Cong, Zhiqiang Ma, Yan Xia, Yu Zhang, Nannan Tong, Jiangtian Tian, Yuzhen Li

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Siyu Hao *Department of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Jiuyi Cong *Department of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Zhiqiang MaDepartment of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.ORCID 0009-0007-0890-4222
Yan XiaScientific Research Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Yu ZhangDepartment of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Nannan TongDepartment of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.
Jiangtian TianKey Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, People's Republic of China.ORCID 0000-0001-8716-9164
Yuzhen LiDepartment of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China.ORCID 0000-0002-0312-5445
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Psoriasis, a chronic inflammatory disorder with an unknown cause, significantly impacts the physical and psychological well-being of patients. However, current biomarkers related to psoriasis lack clinical specificity, sensitivity, and predictive ability. Methods: In this study, we collected skin lesion tissues from 20 psoriasis patients and 20 normal skin samples. Additionally, we obtained four datasets from the GEO database, which included human psoriasis and healthy specimens. We utilized SVM-RFE analysis and the LASSO regression model to identify potential biomarkers. Furthermore, we examined the composition of immune cell types in psoriasis and their correlation with specific genes. Results: Our investigation revealed 57 differentially expressed genes (DEGs), and we identified significantly enriched pathways through KEGG pathway analysis. The results of machine learning and WGCNA suggested that LCE3D and SPRR1B could potentially be used as marker genes for diagnosing psoriasis. RT-PCR and immunohistochemical detection confirmed the abnormally high expression of the SPRR1B gene in psoriasis. Analysis of immune cell infiltration revealed a strong positive correlation between SPRR1B and Macrophages M0 and T cells follicular helper, while showing the strongest negative correlation with resting Mast cells. In addition, we found that silencing SPRR1B in IFN-γ-treated HaCat cells could significantly reduce the increase in IL-17, IL-22, KRT6, and KRT16 caused by IFN-γ. Conclusion: These findings suggest that SPRR1B may have a significant role in the pathogenesis of psoriasis and could be employed as a novel immunomarker for its development.

Indexed as

immunohistochemistryimmunomarkerskeratinocytepsoriasisSPRR1B

Identifiers

PMID38333021
PMCPMC10849920
OpenAlexW4391484409

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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.