Evidence map›Paper›PMID 40771916›Full record

ArticleFrontiers in pharmacology2025

Degradation of IRAK4 for the treatment of lipopolysaccharide-induced acute lung injury in mice.

Bijun Ye, Shiyan Chen, Xiaohao Huang, Yinhong Qiu, Ruixiang Luo, Lulu Zheng

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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
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

6 authors.

Bijun Ye *Department of Neurology, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang Provincial People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Shiyan Chen *Department of Neurology, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang Provincial People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Xiaohao Huang *Department of Neurology, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang Provincial People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Yinhong QiuDepartment of Neurology, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang Provincial People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Ruixiang LuoDepartment of Neurology, Tiantai People's Hospital of Zhejiang Province (Tiantai Branch of Zhejiang Provincial People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, China.
Lulu ZhengDepartment of Pharmacy, Tongde Hospital of Zhejiang Province, Hangzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive pulmonary inflammation in acute lung injury (ALI) results in high patient mortality. Interleukin-1 receptor-associated kinase 4 (IRAK4) is a potential therapeutic target for inflammatory diseases. However, due to the dual functionality of IRAK4 as both an active kinase and a scaffolding protein, inhibiting its kinase activity yield moderate anti-inflammatory results. The present study explored the efficacy of KT-474, a prototypical IRAK4 degrader, which effectively diminished cellular IRAK4 levels, achieving half-maximal degradation at a concentration of 4.0 nM in RAW 264.7 cells. KT-474 effectively inhibited the activation of downstream nuclear factor (NF)-κB signaling, exhibiting stronger pharmacological impacts compared to conventional kinase inhibitors. Additionally, a lipopolysaccharide-induced acute inflammatory mouse model was established, and KT-474 displayed significant therapeutic benefits

Indexed as

acute lung injuryanti-inflammationinflammatory diseaseinterleukin-1 receptor-associated kinase 4 (IRAK4)KT-474

Identifiers

PMID40771916
PMCPMC12325316

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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.