Evidence map›Paper›PMID 37312153›Full record

ArticleRespiratory research2023

Regulation of whole-transcriptome sequencing expression in COPD after personalized precise exercise training: a pilot study.

Panpan Liu, Meilan Zhang, Hongchang Gao, Shaojun Han, Jinming Liu, Xingguo Sun, Lei Zhao

Open access · goldAbstract read
In one paragraph

Article in Respiratory research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  11. Observational
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 at 3 institutions in 1 country.

Panpan LiuDepartment of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, 219 MiaoPu Road, Shanghai, 200315, People's Republic of China.
Meilan ZhangDepartment of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, 219 MiaoPu Road, Shanghai, 200315, People's Republic of China.
Hongchang GaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, 219 MiaoPu Road, Shanghai, 200315, People's Republic of China.
Shaojun HanDepartment of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, 219 MiaoPu Road, Shanghai, 200315, People's Republic of China.
Jinming LiuDepartment of Pulmonary and Critical Care Medicine, Shanghai Pulmonary Hospital Affiliated to TongJi University, Shanghai, China.
Xingguo SunDepartment of Physiology and Medicine, Fuwai Hospital, Chinese Academy of Medical Sciences National Center of Cardiovascular Diseases, Beijing, People's Republic of China. xgsun@lundquist.org.
Lei ZhaoDepartment of Pulmonary and Critical Care Medicine, Shanghai Pudong New Area Gongli Hospital, 219 MiaoPu Road, Shanghai, 200315, People's Republic of China. Lei_zhao1234@163.com.
Shanghai Pudong New Area Gongli Hospital · CNFu Wai Hospital · CNShanghai Pulmonary Hospital · CN

Funding

Pudong New Area health and family planning commission project PW2020A-19Science and Technology Development Fund of Shanghai Pudong New Area PKJ2021-Y11Shanghai Municipal Health and Family Planning Commission general Project 202040191
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is one of the world's leading causes of death and a major chronic respiratory disease. Aerobic exercise, the cornerstone of pulmonary rehabilitation, improves prognosis of COPD patients; however, few studies have comprehensively examined the changes in RNA transcript levels and the crosstalk between various transcripts in this context. This study identified the expression of RNA transcripts in COPD patients who engaged in aerobic exercise training for 12 weeks, and further constructions of the possible RNAs networks were made.

methodsPeripheral blood samples for all four COPD patients who benefited from 12 weeks of PR were collected pre- and post-aerobic exercises and evaluated for the expression of mRNA, miRNA, lncRNA, and circRNA with high-throughput RNA sequencing followed by GEO date validation. In addition, enrichment analyses were conducted on different expressed mRNAs. LncRNA-mRNA and circRNA-mRNA coexpression networks, as well as lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA competing expression networks (ceRNAs) in COPD were constructed.

resultsWe identified and analyzed the differentially expressed mRNAs and noncoding RNAs in the peripheral blood of COPD patients' post-exercise. Eighty-six mRNAs, 570 lncRNAs, 8 miRNAs, and 2087 circRNAs were differentially expressed. Direct function enrichment analysis and Gene Set Variation Analysis showed that differentially expressed RNAs(DE-RNAs) correlated with several critical biological processes such as chemotaxis, DNA replication, anti-infection humoral response, oxidative phosphorylation, and immunometabolism, which might affect the progression of COPD. Some DE-RNAs were validated by Geo databases and RT-PCR, and the results were highly correlated with RNA sequencing. We constructed ceRNA networks of DE-RNAs in COPD.

conclusionsThe systematic understanding of the impact of aerobic exercise on COPD was achieved using transcriptomic profiling. This research offers a number of potential candidates for clarifying the regulatory mechanisms that exercise has on COPD, which could ultimately help in understanding the pathophysiology of COPD.

Indexed as

MicroRNAsPulmonary Disease, Chronic ObstructiveRNA, Long NoncodingExerciseHumansPilot ProjectsRNA, CircularRNA, MessengerTranscriptomeMicroRNAsRNA, CircularRNA, Long NoncodingRNA, MessengerAerobic trainingCeRNA networkCOPDWhole-transcriptome sequencing

Identifiers

PMID37312153
PMCPMC10262399
OpenAlexW4380576743

What OpenQuestion holds

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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.