Evidence map›Paper›PMID 37575147›Full record

ArticleClinical, cosmetic and investigational dermatology2023

Identification of Critical Biomarkers and Mechanisms of

Tian-Shan Liang, Nan Tang, Ming-Hua Xian, Wei-Lun Wen, Chang-Jin Huang, Lan-Hua Cai, Qi-Lin Li, Yan-Hua Wu

Open access · goldAbstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Tian-Shan Liang *Department of Traditional Chinese Medicine, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, 510220, People's Republic of China.
Nan Tang *Department of Traditional Chinese Medicine, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, 510220, People's Republic of China.ORCID 0000-0002-5321-581X
Ming-Hua XianSchool of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, Guangdong, 510006, People's Republic of China.
Wei-Lun WenDepartment of Traditional Chinese Medicine, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, 510220, People's Republic of China.
Chang-Jin HuangDepartment of Traditional Chinese Medicine, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, 510220, People's Republic of China.
Lan-Hua CaiDepartment of Traditional Chinese Medicine, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, 510220, People's Republic of China.
Qi-Lin LiDepartment of Dermatology, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, 510220, People's Republic of China.
Yan-Hua WuDepartment of Traditional Chinese Medicine, Guangzhou Red Cross Hospital, Jinan University, Guangzhou, Guangdong, 510220, People's Republic of China.
Jinan University · CNGuangdong Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Vitiligo is an autoimmune disease of the skin that targets pigment-producing melanocytes and results in patches of depigmentation that are visible as white spots. Recent research studies have yielded a strong mechanistic understanding of this disease. Methods: The expression profiles of GSE65127 and GSE75819 were downloaded from the Gene Expression Omnibus database to identify differentially expressed genes (DEGs) between the vitiligo and healthy samples. Gene ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment of DEGs were performed using R analyses. We performed R to further understand the functions of the critical targets. Cytoscape tools have facilitated network topology analysis. Molecular docking was performed using Auto Dock Vina software. Results: The results showed that 13 DEGs were screened in vitiligo. Based on bioinformatics, network pharmacology and Western blot, we found that the critical targets of melanoma antigen recognized by 5,6-dihydroxyindole-2-carboxylic acid oxidase (TYRP1) may be related to the mechanism of action of FLL in the treatment of vitiligo. Conclusion: TYRP1, as a melanocyte molecular biomarker, may be closely related to the underlying mechanism of FLL in the treatment of vitiligo via the inhibition of melanocyte death.

Indexed as

bioinformaticsbiomarkersFructus Ligustri Lucidimolecular dockingvitiligo

Identifiers

PMID37575147
PMCPMC10416786
OpenAlexW4385633081

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.