Evidence map›Paper›PMID 39732791›Full record

ArticleScientific reports2024

Single-nucleus transcriptomic profiling of the diaphragm during mechanical ventilation.

Lei Li, Feng Jiang, Wenyan Hao, Yu Wang, Yaqian Li, Dong Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Lei LiDepartment of Critical Care Medicine, Heping Hospital Affiliated to Changzhi Medical College, 110 South Yan'an Road, Luzhou District, Changzhi City, 046012, China.
Feng JiangDepartment of Critical Care Medicine, Heping Hospital Affiliated to Changzhi Medical College, 110 South Yan'an Road, Luzhou District, Changzhi City, 046012, China.
Wenyan HaoDepartment of Biomedical Engineering, Changzhi Medical College, Changzhi, 046012, China.
Yu WangDepartment of Critical Care Medicine, Heping Hospital Affiliated to Changzhi Medical College, 110 South Yan'an Road, Luzhou District, Changzhi City, 046012, China.
Yaqian LiDepartment of Critical Care Medicine, Heping Hospital Affiliated to Changzhi Medical College, 110 South Yan'an Road, Luzhou District, Changzhi City, 046012, China.
Dong ZhangDepartment of Critical Care Medicine, Heping Hospital Affiliated to Changzhi Medical College, 110 South Yan'an Road, Luzhou District, Changzhi City, 046012, China. zhangdongshanxi@126.com.

Funding

Shanxi Scholarship Council of China 2022-168
6 · The paper itself

Abstract

Mechanical ventilation contributes to diaphragm atrophy and muscle weakness, which is referred to as ventilator-induced diaphragmatic dysfunction (VIDD). The pathogenesis of VIDD has not been fully understood until recently. The aim of this study was to investigate the effects of 24 h of mechanical ventilation on fibro-adipogenic progenitor (FAP) proliferation, endothelial-mesenchymal transition (EndMT), and immune cell infiltration driving diaphragm fibrosis in a rabbit model. The rabbits were anaesthetized and randomly divided into two groups (n = 3 each group): a control group and an experimental group. Diaphragm nuclei for sequencing were prepared by dissociating and filtering muscle tissue. 10X Genomics Platform for single-nucleus RNA sequencing (snRNA-seq) was used to profile the cells. Normalization and clustering were performed by Seurat, and clusters were manually annotated as different cell types. In this study, we performed differentially expressed genes (DEGs) analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, pseudotime analysis and high dimensional weighted gene coexpression network analysis (hdWGCNA) to identify the key genes and signaling pathways related to the pathogenesis of VIDD. We further performed quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting to verify the results of snRNA-seq. The snRNA-seq results showed that acute postmechanical ventilation diaphragm cell changes included an increase in the proportion of fibroblasts and a decrease in the proportion of myofibres. The DEGs, KEGG, hdWGCNA and pseudotime analyses demonstrated that fibro-adipogenic progenitor (FAP) proliferation, endothelial-mesenchymal transition (EndMT) and immune cell infiltration are the three main processes involved in early stage of fibrosis development, among which Pdgfd, Sema3a, Cxcr2, are the corresponding regulatory genes. Glycolysis and the gene Pfkfb3 are also important metabolic factors for fibrosis formation. Negr1 and Mef2c are involved in phrenic nerve ending loss and diaphragm fibre atrophy. The qRT-PCR data showed that the mRNA levels of the genes Pdgfd, Cxcr2, Pfkfb3 and Negr1 were significantly greater in the experimental group than in the control group (P < 0.01), and the expression levels of Sema3a and Mef2c were significantly lower (P < 0.01). Despite limitations, including the lack of functional evaluations to confirm ventilator-induced diaphragm dysfunction (VIDD) and the absence of data validating diaphragm unloading during ventilation, our findings suggest that FAP proliferation and immune cell infiltration may play a role in the early stage of driving diaphragm fibrosis during mechanical ventilation. However, future studies are needed to confirm these findings and investigate the potential mechanisms underlying them.

Indexed as

DiaphragmGene Expression ProfilingRespiration, ArtificialAnimalsMaleRabbitsSingle-Cell AnalysisTranscriptomeDiaphragm fibrosisEndothelial-mesenchymal transitionFibro-adipogenic progenitorHigh dimensional weighted gene coexpression network analysisSingle-nucleus RNA sequencing

Identifiers

PMID39732791
PMCPMC11682457

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.