Evidence map›Paper›PMID 33679890›Full record

ArticleFrontiers in genetics2021

Comprehensive Analysis of Cell Population Dynamics and Related Core Genes During Vitiligo Development.

Jingzhan Zhang, Shirong Yu, Wen Hu, Man Wang, Dilinuer Abudoureyimu, Dong Luo, Tingting Li, Linglong Long, Hui Zeng, Chao Cheng and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.3field-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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

13 authors at 2 institutions in 1 country.

Jingzhan ZhangDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Shirong YuDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Wen HuDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Man WangDepartment of Gastroenterology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Dilinuer AbudoureyimuDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Dong LuoDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Tingting LiDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Linglong LongDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Hui ZengCenter for Genome Analysis, ABLife Inc., Wuhan, China.
Chao ChengCenter for Genome Analysis, ABLife Inc., Wuhan, China.
Zixian LeiDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Jianan TengDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Xiaojing KangDepartment of Dermatology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
People's Hospital of Xinjiang Uygur Autonomous Region · CNShihezi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo is a common immune-related depigmentation condition, and its pathogenesis remains unclear. This study used a combination of bioinformatics methods and expression analysis techniques to explore the relationship between immune cell infiltration and gene expression in vitiligo. Previously reported gene expression microarray data from the skin (GSE53146 and GSE75819) and peripheral blood (GSE80009 and GSE90880) of vitiligo patients and healthy controls was used in the analysis. R software was used to filter the differentially expressed genes (DEGs) in each dataset, and the KOBAS 2.0 server was used to perform functional enrichment analysis. Compared with healthy controls, the upregulated genes in skin lesions and peripheral blood leukocytes of vitiligo patents were highly enriched in immune response pathways and inflammatory response signaling pathways. Immunedeconv software and the EPIC method were used to analyze the expression levels of marker genes to obtain the immune cell population in the samples. In the lesional skin of vitiligo patients, the proportions of macrophages, B cells and NK cells were increased compared with healthy controls. In the peripheral blood of vitiligo patients, CD8+ T cells and macrophages were significantly increased. A coexpression analysis of the cell populations and DEGs showed that differentially expressed immune and inflammation response genes had a strong positive correlation with macrophages. The TLR4 receptor pathway, interferon gamma-mediated signaling pathway and lipopolysaccharide-related pathway were positively correlated with CD4+ T cells. Regarding immune response-related genes, the overexpression of

Indexed as

bioinformaticscoexpression analysisdifferentially expressed genesimmune infiltrationvitiligo

Identifiers

PMID33679890
PMCPMC7933673
OpenAlexW3131392818

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.