Evidence map›Paper›PMID 37881076›Full record

ArticleCombinatorial chemistry & high throughput screening2024

Bioinformatic Analysis to Identify and Cellular Experiments to Validate Autophagy-related Genes in Psoriasis.

Ruimin Bai, Shaobo Wu, Xinyi Liu, Zixuan Xing, Ruiting Luo, Wen Zhang, Meng Liu, Xinyu Ma, Hao Lei, Ning Wang and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2024. 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
0.7field-weighted citation impact, top 27% 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, 4 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

11 authors at 2 institutions in 1 country.

Ruimin BaiDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Shaobo WuDepartment of Medicine, Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Xinyi LiuDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Zixuan XingDepartment of Medicine, Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Ruiting LuoDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Wen ZhangDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Meng LiuDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Xinyu MaDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Hao LeiDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Ning WangDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
Yan ZhengDepartment of Dermatology, The First Affiliated Hospital of Xi'an Jiaotong University, No.277 Yanta West Road, Xi'an, Shaanxi, 710061, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo explore differentially expressed genes (DEGs) associated with autophagy in psoriasis using bioinformatics analysis and verify them in an M5-induced psoriatic cell model.

methodsWe obtained gene expression microarray data from patients with psoriasis and normal skin tissues from the dataset GSE78097 of the NCBI Gene Expression Omnibus (GEO) database. R software was used to identify DEGs associated with autophagy in psoriasis. Proteinprotein interaction (PPI) and correlation analyses were used to show interactions between certain genes. Their potential biological roles were determined using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. Finally, all the DEGs associated with autophagy in psoriasis were validated in a psoriatic cell model by RT-qPCR.

results28 DEGs associated with autophagy were identified. These genes were linked to one another, and the most connected hub gene was

conclusionWe identified DEGs associated with autophagy in patients with psoriasis.

Indexed as

AutophagyComputational BiologyPsoriasisGene Expression ProfilingHumansautophagybioinformaticsDEGs.gene ontology (GO)GEOPsoriasis

Identifiers

PMID37881076
OpenAlexW4387949884

What Socratic holds

Textmetadata
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.