Evidence map›Paper›PMID 41639275›Full record

ArticleScientific reports2026

Integrative metabolomic and single-cell transcriptomic analysis of recurrent condyloma acuminatum in humans.

Yushu Wei, Yaohan Xu, Chenxi Feng, Siji Chen, Jie Chen, Jiacheng Wang, Jingying Pan, Yinjing Song, Chunting Hua, Miaolian Cai and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

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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.

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

12 authors.

Yushu Wei *Department of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Yaohan Xu *Department of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Chenxi Feng *Department of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Siji ChenDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Jie ChenDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Jiacheng WangDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Jingying PanDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Yinjing SongDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Chunting HuaDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Miaolian CaiDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China.
Hao ChengDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China. chenghao1@zju.edu.cn.
Jiang ZhuDepartment of Dermatology and Venereology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, 3 Qingchun Road, Hangzhou, 310016, People's Republic of China. jzhu1@zju.edu.cn.

Funding

National Natural Science Foundation of China 82373491, 82471846National Natural Science Foundation of China 82404156Zhejiang Provincial Natural Science Foundation of China LY24H110001
6 · The paper itself

Abstract

Condyloma acuminatum (CA), primarily caused by low-risk HPV6/11, is a benign proliferative disease that is difficult to cure and prone to recurrence. However, the molecular and immune mechanisms underlying relapse remain unclear. We combined metabolomic profiling with single-cell RNA sequencing to investigate recurrence-associated changes. Metabolomics revealed dysregulation of ascorbate and aldarate, glycerophospholipid, purine, and arginine/proline metabolism in recurrent CA. Single-cell analysis identified altered expression of metabolism-related genes (AMD1, GSTM3, ALDH3A1, GPX1, GPX4) in keratinocytes, associated with hyperproliferation, impaired differentiation, and ferroptosis resistance. Immune profiling identified transcriptionally distinct myeloid subpopulations in recurrent CA lesions, including M2 macrophages and dendritic cells. KEGG analysis indicated enrichment of antigen processing, phagosome, and endocytosis pathways in M2 macrophages, and antigen processing and viral carcinogenesis in dendritic cells, suggesting altered immune regulatory states. Notably, the key polyamine biosynthesis regulator AMD1 was downregulated in both M2 macrophages and dendritic cells in recurrent lesions, paralleling metabolic evidence of altered arginine-polyamine pathways. These findings suggest that recurrent CA involves coordinated metabolic dysregulation across keratinocytes and immune cells, highlighting potential targets for immunometabolic intervention.

Indexed as

Condylomata AcuminataMetabolomeMetabolomicsTranscriptomeDendritic CellsGene Expression ProfilingHuman papillomavirus 11Human papillomavirus 6HumansKeratinocytesMacrophagesRecurrenceSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisCondyloma acuminatumHuman papillomavirusImmunometabolismMetabolomicsRecurrenceSingle-cell sequencing

Identifiers

PMID41639275
PMCPMC12923836

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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.