Evidence map›Paper›PMID 39071568›Full record

ArticleHeliyon2024

Disease-specific transcriptional programs govern airway goblet cell metaplasia.

Kuan Li, Zhaoyu Song, Qing Yue, Qi Wang, Yu Li, Yu Zhu, Huaiyong Chen

Abstract read
In one paragraph

Article in Heliyon, 2024. 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. Article
  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

7 authors.

Kuan LiDepartment of Respiratory Medicine, Haihe Hospital, Tianjin University, 300350, Tianjin, China.
Zhaoyu SongTianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, 300350, Tianjin, China.
Qing YueTianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, 300350, Tianjin, China.
Qi WangTianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, 300350, Tianjin, China.
Yu LiDepartment of Respiratory Medicine, Haihe Hospital, Tianjin University, 300350, Tianjin, China.
Yu ZhuTianjin Key Laboratory of Lung Regenerative Medicine, Haihe Hospital, Tianjin University, 300350, Tianjin, China.
Huaiyong ChenDepartment of Respiratory Medicine, Haihe Hospital, Tianjin University, 300350, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypersecretion of airway mucus caused by goblet cell metaplasia is a characteristic of chronic pulmonary inflammatory diseases including asthma, cystic fibrosis (CF), and chronic obstructive pulmonary disease (COPD). Goblet cells originate from airway progenitor club cells. However, the molecular mechanisms and features of goblet cell metaplasia in lung disease are poorly understood. Herein, public single-cell RNA sequencing datasets of human lungs were reanalyzed to explore the transitional phase as club cells differentiate into goblet cells in asthma, CF, and COPD. We found that changes in club and goblet cells during pathogenesis and cellular transition were associated with signalling pathways related to immune response, oxidative stress, and apoptosis. Moreover, other key drivers of goblet cell specification appeared to be pathologically specific, with interleukin (IL)-13 and hypoxia inducible factor 1 (HIF-1)-induced genetic changes in asthma, cystic fibrosis transmembrane conductance regulator (CFTR) mutation being present in CF, and interactions with CD8

Indexed as

AsthmaCOPDCystic fibrosisGoblet cell metaplasiaSingle-cell RNA sequencing

Identifiers

PMID39071568
PMCPMC11283004

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.