Evidence map›Paper›PMID 37810372›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2023

RNA Sequencing and Related Differential Gene Expression Analysis in a Mouse Model of Emphysema Induced by Tobacco Smoke Combined with Elastin Peptides.

Xin Feng, Jiehua Deng, Xiaofeng Li, Hui Zhang, Xuan Wei, Tingting Ma, Shudan Tang, Jianquan Zhang

Open access · goldAbstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2023. 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
0.5field-weighted citation impact, top 28% of its field
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, 2 citations in OpenAlex.

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

8 authors at 4 institutions in 1 country.

Xin Feng *Department of Respiratory and Critical Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518000, People's Republic of China.
Jiehua Deng *Department of Respiratory and Critical Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518000, People's Republic of China.
Xiaofeng LiDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Hui ZhangDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Xuan WeiDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Tingting MaDepartment of Respiratory and Critical Medicine, Zhuhai People's Hospital, Zhuhai, Guangdong, 519099, People's Republic of China.
Shudan TangDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, 530021, People's Republic of China.
Jianquan ZhangDepartment of Respiratory and Critical Medicine, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong, 518000, People's Republic of China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CNSun Yat-sen University · CNZhuhai People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To establish a model of emphysema induced by tobacco smoke combined with elastin peptides (EP), explore the biochemical metabolic processes and signal transduction pathways related to emphysema occurrence and development at the transcriptional level, and identify new targets and signaling pathways for emphysema prevention and treatment. Methods: Mice were randomly divided into the air pseudoexposure group (NORMAL group) and the tobacco smoke + EP group (EP group). The differentially expressed genes (DEGs) in lung tissue between the two groups were identified by RNA-seq, and functional annotation and Gene Ontology (GO)/ Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed. The differential expression of the selected genes were verified using qRT‒PCR and immunohistochemistry (IHC). Results: EP group mice showed emphysema-like changes. The expression levels of 1159 genes in the EP group differed significantly (529 up-regulated and 630 down-regulated) from those in the NORMAL group. GO enrichment analysis showed that the DEGs were significantly enriched in the terms immune system, adaptive immune response, and phosphorylation, while KEGG pathway enrichment analysis showed that the DEGs were enriched mainly in the pathways cytokine‒cytokine receptor interaction, T-cell receptor signaling pathway, MAPK signaling pathway, Rap1 signaling pathway, endocytosis, chemokine signaling pathway, Th17 cell differentiation, and Th1 and Th2 cell differentiation. The differential expression of the selected DEGs were verified by qRT‒PCR and IHC, and the expression trends of these genes were consistent with those identified by RNA-seq. Conclusion: Emphysema may be related to the inflammatory response, immune response, immune regulation, oxidative stress injury, and other biological processes. The Bmp4-Smad-Hoxa5/Acvr2a signaling pathway may be involved in COPD/ emphysema occurrence and development.

Indexed as

EmphysemaPulmonary Disease, Chronic ObstructivePulmonary EmphysemaTobacco Smoke PollutionAnimalsComputational BiologyCytokinesElastinGene Expression ProfilingMiceSequence Analysis, RNATranscriptomeCytokinesElastinTobacco Smoke PollutionDEGselastin peptideemphysemaRNA-seqtobacco smoke

Identifiers

PMID37810372
PMCPMC10559798
OpenAlexW4387303660

What OpenQuestion holds

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LicenceCC BY-NC
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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.