Evidence map›Paper›PMID 41467183›Full record

ArticleiScience2025

Rare germline JAK/STAT variants in a Korean cohort amplify innate immune responses to vaccination.

Hye Kyung Lee, Gyuhyeok Cho, Jin Won Huh, Priscilla A Furth, Jungwook Kim, Lothar Hennighausen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hye Kyung LeeSection of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health, Bethesda, MD 20892, USA.
Gyuhyeok ChoDepartment of Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
Jin Won HuhDivision of Pulmonology and Critical Care Medicine, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea.
Priscilla A FurthSection of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health, Bethesda, MD 20892, USA.
Jungwook KimDepartment of Chemistry, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Republic of Korea.
Lothar HennighausenSection of Genetics and Physiology, National Institute of Diabetes and Digestive and Kidney Diseases, US National Institutes of Health, Bethesda, MD 20892, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The JAK/STAT signaling pathway regulates cytokine-driven responses. Here we investigated the biological impact of germline single nucleotide variants in JAK kinases and STAT transcription factors in vaccine response. First, we applied a data-mining strategy to RNA-seq datasets from a Korean cohort to uncover JAK/STAT germline variants and analyzed their corresponding interferon transcriptomic responses. Ultra-rare variants associated with heightened interferon transcriptomic responses were identified. AlphaFold 3 predicted conformational alterations in these JAK and STAT variants, focusing on protein-protein interactions and receptor-complex assembly. Co-occurring variants in TYK2 and other interferon signaling regulators that could influence the impact of the JAK and STAT variants were explored. We found that data mining can reveal candidate germline variants with potential roles in innate immunity and assessed how analyzing vaccine-induced gene expression changes can serve as an

Indexed as

Health sciences

Identifiers

PMID41467183
PMCPMC12744258

What OpenQuestion holds

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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.