Evidence map›Paper›PMID 40529122›Full record

ArticleFrontiers in medicine2025

Single-cell sequencing reveals cellular differences and potential mechanisms in congenital pulmonary airway malformation.

Jinxi Huang, Qiang Chen, Songming Hong, Junjie Hong, Hua Cao

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. 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

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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.

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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

5 authors.

Jinxi HuangDepartment of Cardiothoracic Surgery, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Qiang ChenDepartment of Cardiothoracic Surgery, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Songming HongDepartment of Cardiothoracic Surgery, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Junjie HongDepartment of Cardiothoracic Surgery, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.
Hua CaoDepartment of Cardiothoracic Surgery, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Congenital pulmonary airway malformation (CPAM) is a common fetal lung developmental abnormality whose pathological process is not fully understood. Method: Single-cell sequencing technology is a novel high-throughput method that can reveal differences between different cell types and their role in disease. Results: By analyzing single-cell sequencing data from CPAM lesion tissue and normal tissue, we found an increase in erythrocytes, plasma cells and mast cells in CPAM samples. Additionally, genes such as CCL5, NKG7, GZMB, and SCGB1A1 were highly expressed in CPAM lesion tissues. The differentially expressed genes in CPAM samples are mainly related to functions such as inflammatory response, tissue remodeling, and immune response. Moreover, analysis of the signaling pathways involved in these differentially expressed genes revealed that pathways such as lysosome, phagosome, adherens junction, focal adhesion, and protein processing in the endoplasmic reticulum may be associated with the pathological process of CPAM. Conclusion: This study provides an in-depth analysis of the cellular differences between CPAM tissues and normal tissues using single-cell sequencing technology, revealing key cell types and functions involved in the development of CPAM. These findings provide important clues for a better understanding of the pathological process of CPAM and serve as a basis for identifying potential therapeutic targets.

Indexed as

CPAMDEGsinflammation responseKEGGsingle-cell sequencing

Identifiers

PMID40529122
PMCPMC12171620

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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.