Evidence map›Paper›PMID 33972017›Full record

ArticleeLife2021

Integrative transcriptomic analysis of tissue-specific metabolic crosstalk after myocardial infarction.

Muhammad Arif, Martina Klevstig, Rui Benfeitas, Stephen Doran, Hasan Turkez, Mathias Uhlén, Maryam Clausen, Johannes Wikström, Damla Etal, Cheng Zhang and 3 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
4.6field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Vitamin A deficiency and male-specific effects on heart function in mice.Biochemical and biophysical research communications · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Muhammad Arif *Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0003-2261-0881
Martina Klevstig *Department of Molecular and Clinical Medicine, University of Gothenburg, The Wallenberg Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.
Rui BenfeitasNational Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden.ORCID 0000-0001-7972-0083
Stephen DoranCentre for Host-Microbiome Interactions, Faculty of Dentistry, Oral & Craniofacial Sciences, King's College London, London, United Kingdom.
Hasan TurkezDepartment of Medical Biology, Faculty of Medicine, Atatürk University, Erzurum, Turkey.
Mathias UhlénScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.
Maryam ClausenTranslational Genomics, BioPharmaceuticals R&D, Discovery Sciences, AstraZeneca, Gothenburg, Sweden.
Johannes WikströmBioscience Cardiovascular, Research and Early Development, Cardiovascular, Renal and Metabolism (CVRM), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Damla EtalTranslational Genomics, BioPharmaceuticals R&D, Discovery Sciences, AstraZeneca, Gothenburg, Sweden.
Cheng ZhangScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-3721-8586
Malin LevinDepartment of Molecular and Clinical Medicine, University of Gothenburg, The Wallenberg Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.
Adil MardinogluScience for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden.ORCID 0000-0002-4254-6090
Jan BorenDepartment of Molecular and Clinical Medicine, University of Gothenburg, The Wallenberg Laboratory, Sahlgrenska University Hospital, Gothenburg, Sweden.
AstraZeneca (Sweden) · SESahlgrenska University Hospital · SEScience for Life Laboratory · SEKing's College London · GBAtatürk University · TRStockholm University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myocardial infarction (MI) promotes a range of systemic effects, many of which are unknown. Here, we investigated the alterations associated with MI progression in heart and other metabolically active tissues (liver, skeletal muscle, and adipose) in a mouse model of MI (induced by ligating the left ascending coronary artery) and sham-operated mice. We performed a genome-wide transcriptomic analysis on tissue samples obtained 6- and 24 hr post MI or sham operation. By generating tissue-specific biological networks, we observed: (1) dysregulation in multiple biological processes (including immune system, mitochondrial dysfunction, fatty-acid beta-oxidation, and RNA and protein processing) across multiple tissues post MI and (2) tissue-specific dysregulation in biological processes in liver and heart post MI. Finally, we validated our findings in two independent MI cohorts. Overall, our integrative analysis highlighted both common and specific biological responses to MI across a range of metabolically active tissues.

Indexed as

Gene Expression ProfilingTranscriptomeAnimalsDisease Models, AnimalGenomeHeartMaleMiceMice, Inbred C57BLMuscle, SkeletalMyocardial InfarctionOxidation-Reductioncomputational biologymedicinemetabolically active tissuesmousemulti-tissuemyocardial infarctionnetwork analysissystems biologySystems biologywhole-body modelling

Identifiers

PMID33972017
PMCPMC8186902
OpenAlexW3163849157

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.