Evidence map›Paper›PMID 39920471›Full record

ArticleArchives of dermatological research2025

Single-cell analysis reveals cellular heterogeneity, gene expression profiles, and pathway dynamics in acne vulgaris.

Xiaoyi Yang, Xiaoyan Wang, Jiankang Yang

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Article in Archives of dermatological research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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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

3 authors.

Xiaoyi YangSchool of Basic Medical Sciences, Dali University, Dali, Yunnan, China.
Xiaoyan WangDepartment of Experimental Teaching Center, School of Intelligent Medicine and Biotechnology, Guilin Medical University, Guilin, Guangxi, China. wangxy@glmc.edu.cn.
Jiankang YangSchool of Basic Medical Sciences, Dali University, Dali, Yunnan, China. jkyang1984@126.com.

Funding

the Special Basic Cooperative Research Programs of Yunnan Provincial Undergraduate Universities'Association grant NO. 202401BA070001-066the Xingdian talent support plan YNWR-QNBJ-2020-239
6 · The paper itself

Abstract

Acne vulgaris is a common dermatological condition, particularly in adolescents, and is associated with significant physical and psychological impacts. Its pathogenesis involves genetic factors, sebaceous gland dysfunction, inflammatory responses, and alterations in skin microbiota. Despite advancements in treatment, a comprehensive understanding of its cellular and molecular mechanisms remains limited, making therapeutic strategies challenging. Single-cell RNA sequencing (scRNA-seq) data from six acne vulgaris patients were obtained from the GEO database (GSE175817), filtered, and integrated. Differentially expressed genes (DEGs) were identified and subjected to functional enrichment analysis to explore the underlying pathogenesis. Gene set variation analysis (GSVA) was used to investigate metabolic pathway alterations, and ligand-receptor interactions were analyzed to examine cell-to-cell communication between lesional and non-lesional skin tissues. The integration of scRNA-seq data yielded the identification of eight distinct cell clusters, including endothelial cells, myeloid cells, lymphocytes, melanocytes, sebaceous gland cells, smooth muscle cells, keratinocytes and fibroblasts. The proportions of lymphoid and myeloid cells were found to be significantly different between the lesional and non-lesional sites. The differential expression of genes (DEGs) was found to be significantly specific to the different cell clusters. Abnormal intercellular communication was found to result in a substantial increase in the number and intensity of communications in the area of acne vulgaris lesions. Moreover, specific ligand-receptor pairs for SPP1 and IL6 associated with acne vulgaris were identified. Furthermore, the presence of specific alterations in metabolic pathways, including riboflavin metabolism, niacin metabolism, and lipoic acid metabolism, was observed. Our findings demonstrate the cellular heterogeneity and dysfunction of intercellular communication and metabolic signaling in the lesional skin tissues of patients with acne vulgaris. These findings have important implications for understanding the complex biological processes of acne vulgaris.

Indexed as

Acne VulgarisSkinAdolescentCell CommunicationFemaleGene Expression ProfilingHumansMaleRNA-SeqSebaceous GlandsSignal TransductionSingle-Cell AnalysisTranscriptomeAcne vulgarisCell-cell communicationCell diversityMetabolic signalingSingle-cell RNA sequencing

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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.