Evidence map›Paper›PMID 41602548›Full record

ArticleFrontiers in molecular biosciences2025

JAK-centric explainable few-shot gene-expression diagnosis framework for alopecia via MultiPLIER priors and relation-style set-to-set comparison.

Nanlan Yu, Ling Ran, Xinrong Gong, Junfei Teng, Shulei Liu, Zhiqiang Song

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. 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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0cells of the map it votes in
0citing papers 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

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

6 authors.

Nanlan YuDepartment of Dermatology, The First Affiliated Hospital (Southwest Hospital), Army Medical University, Chongqing, China.
Ling RanChongqing Key Laboratory for the Mechanism and Intervention of Cancer Metastasis, Chongqing University Cancer Hospital, Chongqing University, Chongqing, China.
Xinrong GongSchool of Engineering, Huaqiao University, Quanzhou, China.
Junfei TengDepartment of Dermatology of Jiangbei Campus, The First Affiliated Hospital of Army Medical University, Chongqing, China.
Shulei LiuDepartment of Dermatology of Jiangbei Campus, The First Affiliated Hospital of Army Medical University, Chongqing, China.
Zhiqiang SongDepartment of Dermatology, The First Affiliated Hospital (Southwest Hospital), Army Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alopecia areata (AA) and androgenetic alopecia (AGA) both present with hair loss but require different therapies, and reliable biomarkers to guide treatment remain lacking. We integrated bulk and single-cell RNA-seq to compare JAK-STAT signaling in AA versus AGA. In AA, 257 immune-enriched differentially expressed genes (DEGs) were identified; WGCNA and consensus machine learning (LASSO, SVM-RFE, random forest) yielded six candidate hub genes, and external validation narrowed these to four key genes-granzyme A (GZMA), interleukin-2 receptor

Indexed as

alopecia areatafew-shot learninggene expressionMultiPLIERpermutation-invariant aggregationrelation networktransfer learning

Identifiers

PMID41602548
PMCPMC12832304

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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 OpenQuestion graph.