Evidence map›Paper›PMID 42316229›Full record

ArticleBMC medical genomics2026

Crosstalk mediators implicated in the Stevens-Johnson Syndrome through gene regulatory network analysis.

Makoto Watanabe, Mayumi Ueta, Hiromi Nishigaki, Katsura Mizushima, Yuji Naito, Shigeru Kinoshita, Chie Sotozono, Jun Takayama

Abstract read
In one paragraph

Article in BMC medical genomics, 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

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

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

8 authors.

Makoto WatanabeStatistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan.
Mayumi UetaDepartment of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan. mueta@koto.kpu-m.ac.jp.
Hiromi NishigakiDepartment of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Katsura MizushimaDepartment of Human Immunology and Nutrition Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yuji NaitoDepartment of Human Immunology and Nutrition Science, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Shigeru KinoshitaDepartment of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Chie SotozonoDepartment of Ophthalmology, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Jun TakayamaStatistical Genetics Team, RIKEN Center for Advanced Intelligence Project, Tokyo, Japan. jtakayama@tohoku.ac.jp.ORCID 0000-0003-2803-6526

Funding

Japan Science and Technology Agency JPMJMS2023Japan Society for the Promotion of Science JP24K12748Japan Society for the Promotion of Science JP25K10208
6 · The paper itself

Abstract

Stevens-Johnson syndrome (SJS) is a rare and severe mucocutaneous disorder often triggered by medications or infections. Our previous research identified that four key genes, Ikzf1, Ptger3, Mavs, and Tlr3 are involved in SJS susceptibility and the conjunctival epithelial innate immune response, demonstrating their role in regulating interferon-stimulated genes. However, the interplay among these regulatory factors remains unclear. This study aimed to elucidate the crosstalk mechanisms between the pathways regulated by these four genes in conjunctival epithelial cells. We constructed a comprehensive gene regulatory network using transcriptomic data from murine conjunctival epithelial cells under 16 distinct conditions, including polyI:C stimulation across wild-type, knockout, and transgenic backgrounds for the key genes. A targeted network analysis systematically identified numerous candidate genes mediating the crosstalk between the regulatory pathways initiated by Ikzf1, Ptger3, Mavs, and Tlr3. The identified candidates suggest the involvement of diverse signaling pathways previously unlinked to SJS pathology. Our findings suggest that the pathogenesis of SJS may arise not from the dysfunction of isolated genes but from the disruption of a balance maintained by intricate pathway crosstalk.

Indexed as

Gene Regulatory NetworksStevens-Johnson SyndromeAnimalsConjunctivaEpithelial CellsGene Expression ProfilingMiceSignal TransductionCrosstalkGene regulatory networkInnate immunityStevens-Johnson syndromeTranscriptome analysis

Identifiers

PMID42316229
PMCPMC13543496

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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.