Evidence map›Paper›PMID 42404880›Full record

ArticleFrontiers in immunology2026

Targeting the ISG15+STAT1+ monocyte-driven inflammatory storm with Fedratinib in traumatic lung injury via the JAK2/STAT3/PIM1 axis.

Kun Zhang, Dan Li, Le Gao, Mingwei Chen

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

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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

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Kun ZhangDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Dan LiDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Le GaoDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Mingwei ChenDepartment of Respiratory and Critical Care Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Traumatic lung injury (TLI) frequently progresses to acute respiratory distress syndrome (ARDS), a condition with high mortality and limited targeted therapies. This study aimed to identify specific immune cell drivers and potential therapeutic targets for precision intervention in TLI. Methods: We conducted a comprehensive analysis of single-cell RNA sequencing (scRNA-seq) data from peripheral blood mononuclear cells of trauma patients, transcriptomic data from alveolar macrophages in ARDS patients, and lung tissue transcriptomic data from a TLI mouse model. An integrated bioinformatics approach was employed, including the use of the Augur and Milo algorithms for prioritizing cellular perturbations, Monocle 3 for trajectory inference, and two-sample Mendelian randomization (TSMR) for causal inference. Potential drugs were screened using Connectivity Map, target-specificity predictions were made using the scRANK algorithm, and validation was performed using an Results: The scRNA-seq analyses revealed that classical monocytes showed the greatest disturbance and response following trauma. Among these, the ISG15+STAT1+ monocyte subpopulation expanded post-trauma and drove an inflammatory storm through robust M1-like polarization. PIM1 was identified as a core pathogenic gene co-upregulated in both peripheral blood and lung tissue. Further TSMR analysis confirmed elevated PIM1 expression as a causal risk factor for ARDS. Concurrently, the JAK2/STAT3/PIM1 pathway is activated synchronously during the acute trauma phase. Drug repurposing research suggests that the JAK2 inhibitor Fedratinib can reverse the transcriptomic characteristics of TLI. Conclusions: This study identifies the JAK2/STAT3/PIM1 signaling axis within the ISG15+STAT1+ monocyte subpopulation as a key driver of TLI and a potential therapeutic target, and suggests that fedratinib is a potential candidate for the targeted treatment of TLI.

Indexed as

CytokinesLung InjuryMonocytesProto-Oncogene Proteins c-pim-1SulfonamidesAnimalsBenzenesulfonamidesDisease Models, AnimalHumansJanus Kinase 2MaleMicePyrrolidinesRespiratory Distress SyndromeSignal TransductionSTAT1 Transcription FactorBenzenesulfonamidesCytokinesfedratinibJAK2 protein, humanJanus Kinase 2PIM1 protein, humanPim1 protein, mouseProto-Oncogene Proteins c-pim-1PyrrolidinesSTAT1 Transcription FactorSTAT3 protein, humanSTAT3 Transcription FactorSulfonamidesFedratinibmonocyte heterogeneityPIM1single-cell RNA sequencingtraumatic lung injury

Identifiers

PMID42404880
PMCPMC13327986

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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.