Evidence map›Paper›PMID 35993468›Full record

ArticleCombinatorial chemistry & high throughput screening2023

Identification of Chemokines-Related miRNAs as Potential Biomarkers in Psoriasis Based on Integrated Bioinformatics Analysis.

Haojun Zhuang, Xiaoming Wang, Meiliang Guo, Qinqin Meng, Na Liu, Min Wei, Yuling Shi, Hui Deng

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 54% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 3 institutions in 1 country.

Haojun ZhuangDepartment of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Xiaoming WangDepartment of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Meiliang GuoDepartment of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Qinqin MengDepartment of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Na LiuDepartment of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Min WeiDepartment of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Yuling ShiDepartment of Dermatology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, 200040, China.
Hui DengDepartment of Dermatology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200030, China.
Shanghai Sixth People's Hospital · CNShanghai Jiao Tong University · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsoriasis is an immune-mediated skin disorder caused by the proliferation of keratinocytes. Although psoriasis is generally diagnosed based on clinical manifestations, sensitive biomarkers are needed to help diagnose psoriasis early with atypical presentations. MicroRNAs play a functional role in the development of psoriasis, and they are stable and suitable as biomarkers in psoriasis. MATERIAL AND

methodsThe GSE50790 and GSE53552 datasets from the Gene Expression Omnibus (GEO) database were used to identify Differentially Expressed Genes (DEGs) between the control group and the lesional group. DEGs were processed for enrichment analysis to explore the functions, and a Protein-Protein Interaction (PPI) network was constructed to obtain gene clusters. The signalling pathway associated with gene cluster 1 was processed to further identify related genes. Hub genes were obtained through the intersection of cluster 1 and the related genes. Hub genes were used to predict the miRNAs through a gene-miRNA interaction network. The relative expression of miRNAs was measured by qRT-PCR to identify the suitability of miRNAs as biomarkers.

resultsBioinformatics analysis revealed that the chemokine signalling pathway is involved in the development of psoriasis. Five related miRNAs were mined from the datasets, and qRT-PCR showed that hsa-miR-612 (p=0.0015), hsa-miR-3194-5p (p=0.0078) and hsa-miR-4316 (p<0.0001) may be potential biomarkers in psoriasis.

Indexed as

MicroRNAsPsoriasisBiomarkersComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansBiomarkersMicroRNAsbiomarkersChemokinesmicroRNAsmiR-3194-5pmiR-4316miR-612psoriasis

Identifiers

PMID35993468
PMCPMC10234082
OpenAlexW4292487046

What OpenQuestion holds

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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.