Evidence map›Paper›PMID 29463285›Full record

ArticleJournal of translational medicine2018

Network modules uncover mechanisms of skeletal muscle dysfunction in COPD patients.

Ákos Tényi, Isaac Cano, Francesco Marabita, Narsis Kiani, Susana G Kalko, Esther Barreiro, Pedro de Atauri, Marta Cascante, David Gomez-Cabrero, Josep Roca

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03169270 (Muscular Adaptations After Endurance Exercise Training in Patients With COPD), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.9field-weighted citation impact, top 9% 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.

NCT03169270 nacompletednot on this map

Muscular Adaptations After Endurance Exercise Training in Patients With COPD

TypeinterventionalSponsorHospital Clinic of BarcelonaRan2005 to 2007Enrolled26ConditionsChronic Obstructive Pulmonary Disease, HealthyArmsExercise training
3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

10 authors at 5 institutions in 4 countries.

Ákos TényiHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain. tenyi@clinic.cat.ORCID 0000-0002-4880-6594
Isaac CanoHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
Francesco MarabitaUnit of Computational Medicine, Department of Medicine, Karolinska Institute, 171 77, Stockholm, Sweden.
Narsis KianiUnit of Computational Medicine, Department of Medicine, Karolinska Institute, 171 77, Stockholm, Sweden.
Susana G KalkoHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain.
Esther BarreiroCenter for Biomedical Network Research in Respiratory Diseases (CIBERES), Madrid, Spain.
Pedro de AtauriDepartament de Bioquimica i Biologia Molecular, Facultat de Biologia-IBUB, Universitat de Barcelona, 08028, Barcelona, Spain.
Marta CascanteDepartament de Bioquimica i Biologia Molecular, Facultat de Biologia-IBUB, Universitat de Barcelona, 08028, Barcelona, Spain.
David Gomez-CabreroUnit of Computational Medicine, Department of Medicine, Karolinska Institute, 171 77, Stockholm, Sweden.
Josep RocaHospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain. jroca@clinic.cat.
Centre for Biomedical Network Research on Rare Diseases · ESKarolinska Institutet · SEUniversitat de Barcelona · ESKing's College London · GBUniversitat Pompeu Fabra · ES

Funding

H2020 Societal Challenges 689802
6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) patients often show skeletal muscle dysfunction that has a prominent negative impact on prognosis. The study aims to further explore underlying mechanisms of skeletal muscle dysfunction as a characteristic systemic effect of COPD, potentially modifiable with preventive interventions (i.e. muscle training). The research analyzes network module associated pathways and evaluates the findings using independent measurements.

methodsWe characterized the transcriptionally active network modules of interacting proteins in the vastus lateralis of COPD patients (n = 15, FEV

resultsAt baseline, we identified four COPD specific network modules indicating abnormalities in creatinine metabolism, calcium homeostasis, oxidative stress and inflammatory responses, showing statistically significant associations with exercise capacity (VO

conclusionIn summary, altered muscle bioenergetics appears as the most striking finding, potentially driving other abnormal skeletal muscle responses. Trial registration The study was based on a retrospectively registered trial (May 2017), ClinicalTrials.gov identifier: NCT03169270.

Indexed as

Gene Regulatory NetworksAgedFemaleHumansMaleMetabolomicsMuscle, SkeletalPulmonary Disease, Chronic ObstructiveRestChronic obstructive pulmonary diseaseExercise trainingGene modulesMuscular weaknessSystems medicine

Identifiers

PMID29463285
PMCPMC5819708
OpenAlexW2796186950

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.