Evidence map›Paper›PMID 30385846›Full record

ArticleScientific reports2018

ACE-inhibition induces a cardioprotective transcriptional response in the metabolic syndrome heart.

Aziza Yakubova, Lieven Thorrez, Dmitry Svetlichnyy, Liesbeth Zwarts, Veerle Vulsteke, Griet Laenen, Wouter Oosterlinck, Yves Moreau, Luc Dehaspe, Jeroen Van Houdt and 4 more

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Review
  2. Heart Failure and Drug Therapies: A Metabolic Review.International journal of molecular sciences · 2022
    Review
  3. Tale of two kinases: Protein kinase A and CaWorld journal of diabetes · 2021
    Review
  4. Article
  5. Article
  6. Review
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

14 authors.

Aziza YakubovaDepartment of Cardiovascular Sciences, Research Unit of Cardiac Surgery, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0003-3138-4396
Lieven ThorrezDepartment of Development and Regeneration, Interdisciplinary Research Facility, KU Leuven, Campus Kulak Kortrijk, Kortrijk, Belgium.ORCID http://orcid.org/0000-0002-5896-6823
Dmitry SvetlichnyyDepartment of Human Genetics, Laboratory of Computational Biology, KU Leuven, Leuven, Belgium.
Liesbeth ZwartsDepartment of Human Genetics, Laboratory of Behavioral and Developmental Genetics, KU Leuven, Leuven, Belgium.
Veerle VulstekeDepartment of Human Genetics, Laboratory of Behavioral and Developmental Genetics, KU Leuven, Leuven, Belgium.
Griet LaenenDepartment of Electrical Engineering, ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
Wouter OosterlinckDepartment of Cardiovascular Sciences, Research Unit of Cardiac Surgery, KU Leuven, Leuven, Belgium.
Yves MoreauDepartment of Electrical Engineering, ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
Luc DehaspeDepartment of Human Genetics, Genomics Core, Center for Human Genetics, University Hospital, KU Leuven, Leuven, Belgium.
Jeroen Van HoudtDepartment of Human Genetics, Genomics Core, Center for Human Genetics, University Hospital, KU Leuven, Leuven, Belgium.
Álvaro Cortés-CalabuigDepartment of Human Genetics, Genomics Core, Center for Human Genetics, University Hospital, KU Leuven, Leuven, Belgium.
Bart De MoorDepartment of Electrical Engineering, ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
Patrick CallaertsDepartment of Human Genetics, Laboratory of Behavioral and Developmental Genetics, KU Leuven, Leuven, Belgium. patrick.callaerts@kuleuven.be.
Paul HerijgersDepartment of Cardiovascular Sciences, Research Unit of Cardiac Surgery, KU Leuven, Leuven, Belgium. paul.herijgers@kuleuven.be.ORCID http://orcid.org/0000-0003-0951-8132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease associated with metabolic syndrome has a high prevalence, but the mechanistic basis of metabolic cardiomyopathy remains poorly understood. We characterised the cardiac transcriptome in a murine metabolic syndrome (MetS) model (LDLR-/-; ob/ob, DKO) relative to the healthy, control heart (C57BL/6, WT) and the transcriptional changes induced by ACE-inhibition in those hearts. RNA-Seq, differential gene expression and transcription factor analysis identified 288 genes differentially expressed between DKO and WT hearts implicating 72 pathways. Hallmarks of metabolic cardiomyopathy were increased activity in integrin-linked kinase signalling, Rho signalling, dendritic cell maturation, production of nitric oxide and reactive oxygen species in macrophages, atherosclerosis, LXR-RXR signalling, cardiac hypertrophy, and acute phase response pathways. ACE-inhibition had a limited effect on gene expression in WT (55 genes, 23 pathways), and a prominent effect in DKO hearts (1143 genes, 104 pathways). In DKO hearts, ACE-I appears to counteract some of the MetS-specific pathways, while also activating cardioprotective mechanisms. We conclude that MetS and control murine hearts have unique transcriptional profiles and exhibit a partially specific transcriptional response to ACE-inhibition.

Indexed as

AgedAngiotensin-Converting Enzyme InhibitorsAnimalsAtherosclerosisCardiotonic AgentsCardiovascular DiseasesDisease Models, AnimalHeartHumansMetabolic Networks and PathwaysMetabolic SyndromeMiceMice, KnockoutObesityPeptidyl-Dipeptidase AReceptors, LDLAngiotensin-Converting Enzyme InhibitorsCardiotonic AgentsPeptidyl-Dipeptidase AReceptors, LDL

Identifiers

PMID30385846
PMCPMC6212468

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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.