Evidence map›Paper›PMID 41960844›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

KCNJ2 is Required for NLRP3 Inflammasome Activation That Drives Allergic Airway Inflammation and Remodeling.

Yachao Cui, Shumei Wu, Yang Peng, Yiqi Liu, Li Che, Shiying Chen, Feng Zhang, Dajiang Qin, Shiyue Li, Pixin Ran and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Potassium Channels of the Airway Epithelium.Acta physiologica (Oxford, England) · 2026
    Review
  2. Article
  3. 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

11 authors.

Yachao CuiState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Shumei WuState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Yang PengState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Yiqi LiuState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Li CheState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Shiying ChenState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Feng ZhangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.
Dajiang QinKey Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, the Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, P. R. China.
Shiyue LiState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.ORCID https://orcid.org/0000-0001-9622-5623
Pixin RanState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.ORCID https://orcid.org/0000-0001-6651-634X
Wenguang YinState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Joint International Research Laboratory of Respiratory Health, Guangdong Basic Research Center of Excellence for Respiratory Medicine, Guangzhou Institute of Respiratory Health, Guangzhou National Laboratory, China-Portugal Artificial Intelligence and Public Health Technologies Joint Laboratory, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, P. R. China.ORCID https://orcid.org/0000-0003-1722-8637

Funding

Major Project of Guangzhou National Laboratory GZNL2024A02005Major Project of Guangzhou National Laboratory GZNL2025C02033National Natural Science Foundation of China 81970019Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0528400Open Project of the State Key Laboratory of Respiratory Disease SKLRD-OP-202110Open Research Fund of State Key Laboratory of Genetic Engineering, Fudan University SKLGE-2305
6 · The paper itself

Abstract

Airway inflammation and remodeling are cardinal features of asthma pathogenesis. Genome-wide association studies have shown that several SNPs of KCNJ2, a member of the inwardly rectifying potassium channel family, are associated with asthma in patients. However, the role of KCNJ2 in airway inflammation and remodeling in asthma remains unknown. Here, we demonstrate that the Kcnj2 serves as a critical regulator of airway epithelial inflammation and remodeling. KCNJ2 expression is significantly reduced in the airway epithelium of asthmatic patients, which is associated with goblet cell metaplasia and mucus overproduction. Epithelial cell depletion of Kcnj2 attenuates airway inflammation, Th2 inflammatory response, goblet cell metaplasia, and mucus overproduction in the airways of asthmatic mice. In cultured primary airway epithelial cells of asthmatic patients, KCNJ2 inhibition also hampers goblet cell metaplasia, mucus production, and lung epithelial cell-derived alarmins expression. This process appears to be mediated, at least in part, through inhibition of NLRP3 by restricting Ca

Indexed as

Airway RemodelingAsthmaInflammasomesInflammationNLR Family, Pyrin Domain-Containing 3 ProteinPotassium Channels, Inwardly RectifyingAnimalsDisease Models, AnimalFemaleHumansMiceInflammasomesNLR Family, Pyrin Domain-Containing 3 ProteinNlrp3 protein, mousePotassium Channels, Inwardly Rectifyingairway inflammationairway remodelingasthmaKCNJ2NLRP3 inflammasome

Identifiers

PMID41960844
PMCPMC13205818

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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.