Evidence map›Paper›PMID 39196250›Full record

ArticleNature cardiovascular research2023

Transcriptional profiling unveils molecular subgroups of adaptive and maladaptive right ventricular remodeling in pulmonary hypertension.

Fatemeh Khassafi, Prakash Chelladurai, Chanil Valasarajan, Sreenath Reddy Nayakanti, Sandra Martineau, Natascha Sommer, Tetsuro Yokokawa, Olivier Boucherat, Aryan Kamal, David G Kiely and 16 more

Abstract read
In one paragraph

Article in Nature cardiovascular research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
–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

40 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Cross-Species and Sex-Specific Meta-Analysis of Transcriptomic Studies of Pulmonary Hypertension.American journal of respiratory cell and molecular biology · 2025
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. A modelling study of right ventricular growth with valvular regurgitation.Biomechanics and modeling in mechanobiology · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Large animal models of right heart failure due to pulmonary hypertension: a bridge to translational success.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  12. Article
  13. Article
  14. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Fatemeh KhassafiMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
Prakash ChelladuraiMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0002-8258-5115
Chanil ValasarajanMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
Sreenath Reddy NayakantiMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
Sandra MartineauPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada.
Natascha SommerDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Excellence Cluster Cardio-Pulmonary Institute (CPI), Justus-Liebig University, Giessen, Germany.
Tetsuro YokokawaPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada.
Olivier BoucheratPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada.
Aryan KamalEuropean Molecular Biology Laboratory, Heidelberg, Germany.
David G KielyDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Andrew J SwiftDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Samer AlabedDepartment of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.ORCID http://orcid.org/0000-0002-9960-7587
Junichi OmuraPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada.
Sandra Breuils-BonnetPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada.
Carsten KuenneMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0001-8013-5906
Francois PotusPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada.
Stefan GüntherMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
Rajkumar SavaiMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
Werner SeegerMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0003-1946-0894
Mario LoosoMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.ORCID http://orcid.org/0000-0003-1495-9530
Allan LawrieNational Heart and Lung Institute, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-4192-9505
Judith B ZauggEuropean Molecular Biology Laboratory, Heidelberg, Germany.
Khodr TelloDepartment of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Excellence Cluster Cardio-Pulmonary Institute (CPI), Justus-Liebig University, Giessen, Germany.
Steeve ProvencherPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada.
Sébastien BonnetPulmonary Hypertension and Vascular Biology Research Group of Quebec Heart and Lung Institute, Department of Medicine, Laval University, Quebec, Canada. sebastien.bonnet@criucpq.ulaval.ca.ORCID http://orcid.org/0000-0001-5753-1900
Soni Savai PullamsettiMax Planck Institute for Heart and Lung Research, Bad Nauheim, Germany. soni.pullamsetti@mpi-bn.mpg.de.ORCID http://orcid.org/0000-0003-0440-8831

Funding

Canadian Institute for Advanced Research (L'Institut Canadien de Recherches Avancées) CIHR, #IC121617Deutsche Forschungsgemeinschaft (German Research Foundation) SFB 1213Wellcome Trust
6 · The paper itself

Abstract

Right ventricular (RV) function is critical to prognosis in all forms of pulmonary hypertension. Here we perform molecular phenotyping of RV remodeling by transcriptome analysis of RV tissue obtained from 40 individuals, and two animal models of RV dysfunction of both sexes. Our unsupervised clustering analysis identified 'early' and 'late' subgroups within compensated and decompensated states, characterized by the expression of distinct signaling pathways, while fatty acid metabolism and estrogen response appeared to underlie sex-specific differences in RV adaptation. The circulating levels of several extracellular matrix proteins deregulated in decompensated RV subgroups were assessed in two independent cohorts of individuals with pulmonary arterial hypertension, revealing that NID1, C1QTNF1 and CRTAC1 predicted the development of a maladaptive RV state, as defined by magnetic resonance imaging parameters, and were associated with worse clinical outcomes. Our study provides a resource for subphenotyping RV states, identifying state-specific biomarkers, and potential therapeutic targets for RV dysfunction.

Indexed as

Gene Expression ProfilingVentricular Dysfunction, RightVentricular Function, RightVentricular RemodelingAdaptation, PhysiologicalAdultAnimalsDisease Models, AnimalFemaleHumansHypertension, PulmonaryMaleMiddle AgedPhenotypeSex FactorsTranscriptome

Identifiers

PMID39196250
PMCPMC11358157

What OpenQuestion holds

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LicenceCC BY
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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.