Evidence map›Paper›PMID 40083163›Full record

ArticleHGG advances2025

Using genetics, genomics, and transcriptomics to identify therapeutic targets in juvenile idiopathic arthritis.

Evan Tarbell, James N Jarvis

Abstract read
In one paragraph

Article in HGG advances, 2025. 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
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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

2 authors.

Evan TarbellEnhanced Pharmacodynamics, LLC, Buffalo, NY, USA. Electronic address: evantarbell@gmail.com.
James N JarvisDepartment of Pediatrics, University of Washington School of Medicine, Seattle, WA, USA. Electronic address: jamesjar@uw.edu.

Funding

Epigenetic Mechanisms That Drive Genetic Risk in Juvenile ArthritisR01AR078785 · NIAMS · UNIVERSITY OF WASHINGTON · PI JAMES N JARVIS · 2022 to 2026
$3.1M
NIAMS NIH HHS R01 AR078785
6 · The paper itself

Abstract

Despite progress in improving outcomes for oligoarticular and polyarticular juvenile idiopathic arthritis (JIA), the field still faces considerable challenges. More than half of adults who have had JIA continue to have active disease and have developed functional limitations. Medication side effects are common and intrusive. Thus, the field continues to search for therapeutic agents that target specific aspects of disease pathobiology and will be accompanied by fewer and less intrusive side effects. We identified 28 candidate target genes that were associated with JIA according to Open Targets Genetics and were also differentially expressed in the CD4+ T cells of children with active JIA (when compared to healthy control subjects). Of the 28 candidates, the strongest new target to emerge was homeodomain-interacting protein kinase 1 (HIPK1), which suppresses T cell activation and is within the PTPN22 locus tagged by rs6679677. This locus includes an enhancer element that contacts the HIPK1 promoter, and HIPK1 shows decreased expression in JIA CD4+ T cells when compared to controls. Gene Ontology terms associated with HIPK1 were overrepresented among the differentially expressed genes between JIA and controls, and PML, a known coregulator of HIPK1, showed a similar suppressed gene expression profile. Two downstream transcription factors of HIPK1, TP53 and GATA4, showed enriched binding patterns near the promoters of JIA up-regulated genes. Taken together, these data suggest a pathogenic role for HIPK1 in JIA and make it a prime candidate for therapeutic modulation.

Indexed as

Arthritis, JuvenileGene Expression ProfilingGenomicsTranscriptomeChildHumansMolecular Targeted TherapyProtein Serine-Threonine KinasesProtein Serine-Threonine KinasesCD4+ T cellsgeneticsHIPK1juvenile arthritistherapeutic targetsTP53

Identifiers

PMID40083163
PMCPMC11994403

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.