Evidence map›Paper›PMID 42718499›Full record

ArticleFrontiers in medicine2026

Identifying dendritic cell heterogeneity and potential risk genes in atopic dermatitis: integrative scRNA-seq, bulk RNA-seq analyses and experimental validation.

Chushan Huang, Pengsheng Chen, Xiaosong Chen

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

3 authors.

Chushan Huang *Department of Plastic Surgery and Regenerative Medicine, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.
Pengsheng Chen *Department of Plastic Surgery and Regenerative Medicine, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.
Xiaosong ChenDepartment of Plastic Surgery and Regenerative Medicine, Fujian Medical University Union Hospital, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atopic dermatitis (AD) is a chronic inflammatory skin condition marked by immune dysregulation and compromised skin barrier function, with dendritic cells (DCs) playing pivotal roles in its pathogenesis. This study aimed to systematically characterize the heterogeneity of DCs in AD, identify key pathogenic subsets and genes, and elucidate their regulatory mechanisms through advanced methodologies. We conducted integrated single-cell RNA sequencing (scRNA-seq) analyses on both AD lesions and normal skin samples, leading to the identification and functional annotation of distinct DC subtypes. Through deconvolution, pseudotime trajectory, and co-expression network analyses, we screened critical cell populations and candidate genes. Causal associations were assessed using Mendelian randomization and colocalization analyses, while transcription factor activity inference, kNN-DREMI, and motif analysis were employed to explore underlying regulatory mechanisms. Our results revealed five distinct DC subsets, with a notable expansion of CD207

Indexed as

atopic dermatitisCD1Bdendritic cellsgene expressionsingle-cell transcriptomics

Identifiers

PMID42718499
PMCPMC13553427

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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.