Evidence map›Paper›PMID 39713718›Full record

ArticleJournal of inflammation research2024

Single-Cell Sequencing Combined with Transcriptome Sequencing to Explore the Molecular Mechanisms Related to Skin Photoaging.

Xinru Hu, Shuang Du, Meng Chen, Hao Yang, Jia He, Lei Zhang, Bowen Tan, Tao Wu, Xi Duan

Abstract read
In one paragraph

Article in Journal of inflammation research, 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
–field-weighted citation impact
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.

  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

9 authors.

Xinru Hu *Department of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.ORCID 0009-0000-4740-2646
Shuang Du *Department of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.ORCID 0009-0000-3976-708X
Meng ChenDepartment of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.ORCID 0009-0005-3537-9027
Hao YangDepartment of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.
Jia HeDepartment of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.ORCID 0000-0002-7717-8574
Lei ZhangDepartment of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.
Bowen TanDepartment of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.
Tao WuDepartment of Urology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.ORCID 0000-0003-0068-4273
Xi DuanDepartment of Dermatovenereology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aging of skin is a diversified biological phenomenon, influenced by a combination of genetic and environmental factors. However, the specific mechanism of skin photoaging is not yet completely elucidated. Methods: Gene expression profiles for photoaging patients were obtained from the Gene Expression Omnibus (GEO) collection. We conducted single-cell and intercellular communication investigations to identify potential gene sets. Predictive models were created using LASSO regression. The relationships between genes and immune cells were investigated using single sample gene set enrichment analysis (ssGSEA) and gene set variance analysis (GSVA). The molecular processes of important genes were studied using gene enrichment analysis. A miRNA network was created to look for target miRNAs connected with important genes, and transcriptional regulation analysis was used to identify related transcription factors. Finally, merging gene co-expression networks with drug prediction shows molecular pathways of photoaging and potential treatment targets. Furthermore, we validated the role of key genes, immune cell infiltration, and the Adenosine 5'-monophosphate (AMP)-activated protein kinase (AMPK) pathway in photoaging, which were identified through bioinformatics analysis, using in vivo reverse transcription quantitative PCR (RT-qPCR), immunofluorescence labeling, and Western blotting. Results: This study discovered three key genes, including Atp2b1, Plekho2, and Tspan13, which perform crucial functions in the photoaging process. Immune cell infiltration analysis showed increased M1 macrophages and CD4 memory T cells in the photoaging group. Further signaling pathway analysis indicated that these key genes are enriched in multiple immune and metabolic pathways. The significant roles of Atp2b1, Plekho2, Tspan13, M1 macrophages infiltration, CD4 memory T cells infiltration and the AMPK pathway in photoaging was validated in vivo. Conclusion: This research revealed the underlying molecular mechanisms of photoaging, indicating that key genes such as Atp2b1 and Tspan13 play crucial roles in the regulation of immune cell infiltration and metabolic pathways. These findings provide a new theory for the treatment of photoaging and provide prospective targets for the advancement of relevant drugs.

Indexed as

AMPK pathwayAtp2b1immune cell infiltrationPlekho2skin photoagingTspan13

Identifiers

PMID39713718
PMCPMC11662644

What Socratic 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 Socratic graph.