Evidence map›Paper›PMID 28025995›Full record

ArticleInternational journal of molecular medicine2016

Prediction of key genes and miRNAs responsible for loss of muscle force in patients during an acute exacerbation of chronic obstructive pulmonary disease.

Yanhong Duan, Min Zhou, Jian Xiao, Chaomin Wu, Lei Zhou, Feng Zhou, Chunling Du, Yuanlin Song

Open access · hybridAbstract read
In one paragraph

Article in International journal of molecular medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 14% 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, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Predictive Value of Combining Inflammatory Biomarkers and Rapid Decline of FEVInternational journal of chronic obstructive pulmonary disease · 2019
    Article
  8. Observational
  9. Impaired Hemorheology in Exacerbations of COPD.Canadian respiratory journal · 2017
    Article
  10. Review
  11. 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

8 authors at 4 institutions in 1 country.

Yanhong DuanDepartment of Respiratory Medicine, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, P.R. China.
Min ZhouDepartment of Respiratory Medicine, Jinshan Branch of The Sixth People's Hospital of Shanghai, Shanghai 201599, P.R. China.
Jian XiaoDepartment of Respiratory Medicine, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, P.R. China.
Chaomin WuDepartment of Respiratory Medicine, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, P.R. China.
Lei ZhouDepartment of Respiratory Medicine, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, P.R. China.
Feng ZhouDepartment of Respiratory Medicine, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, P.R. China.
Chunling DuDepartment of Respiratory Medicine, Qingpu Branch of Zhongshan Hospital, Fudan University, Shanghai 201700, P.R. China.
Yuanlin SongDepartment of Respiratory Medicine, Zhongshan Hospital, Fudan University, Shanghai 201700, P.R. China.
Zhongshan Hospital · CNFudan University · CNShanghai Sixth People's Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to identify genes and microRNAs (miRNAs or miRs) that were abnormally expressed in the vastus lateralis muscle of patients with acute exacerbations of chronic obstructive pulmonary disease (AECOPD). The gene expression profile of GSE10828 was downloaded from the Gene Expression Omnibus database, and this dataset was comprised of 4 samples from patients with AECOPD and 5 samples from patients with stable COPD. Differentially expressed genes (DEGs) were screened using the Limma package in R. A protein‑protein interaction (PPI) network of DEGs was built based on the STRING database. Module analysis of the PPI network was performed using the ClusterONE plugin and functional analysis of DEGs was conducted using DAVID. Additionally, key miRNAs were enriched using gene set enrichment analysis (GSEA) software and a miR-gene regulatory network was constructed using Cytoscape software. In total, 166 up- and 129 downregulated DEGs associated with muscle weakness in AECOPD were screened. Among them, NCL, GOT1, TMOD1, TSPO, SOD2, NCL and PA2G4 were observed in the modules consisting of upregulated or downregulated genes. The upregulated DEGs in modules (including KLF6 and XRCC5) were enriched in GO terms associated with immune system development, whereas the downregulated DEGs were enriched in GO terms associated with cell death and muscle contraction. Additionally, 39 key AECOPD‑related miRNAs were also predicted, including miR-1, miR-9 and miR-23a, miR-16 and miR-15a. In conclusion, DEGs (NCL, GOT1, SOD2, KLF6, XRCC5, TSPO and TMOD1) and miRNAs (such as miR-1, miR-9 and miR-23a) may be associated with the loss of muscle force in patients during an acute exacerbation of COPD which also may act as therapeutic targets in the treatment of AECOPD.

Indexed as

Disease ProgressionAcute DiseaseBiomechanical PhenomenaCluster AnalysisGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansMicroRNAsMolecular Sequence AnnotationMusclesProtein Interaction MapsPulmonary Disease, Chronic ObstructiveMicroRNAs

Identifiers

PMID28025995
PMCPMC5065306
OpenAlexW2525382781

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.