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

Khassafi, F., Chelladurai, P., Valasarajan, C., Nayakanti, S. R., Martineau, S., Sommer, N., et al. (2023). Transcriptional profiling unveils molecular subgroups of adaptive and maladaptive right ventricular remodeling in pulmonary hypertension. NATURE CARDIOVASCULAR RESEARCH, 2(10), 917-+. doi:10.1038/s44161-023-00338-3.

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Khassafi, Fatemeh1, Author           
Chelladurai, Prakash1, Author           
Valasarajan, Chanil1, Author           
Nayakanti, Sreenath Reddy1, Author           
Martineau, Sandra, Author
Sommer, Natascha, Author
Yokokawa, Tetsuro, Author
Boucherat, Olivier, Author
Kamal, Aryan, Author
Kiely, David G., Author
Swift, Andrew J., Author
Alabed, Samer, Author
Omura, Junichi, Author
Breuils-Bonnet, Sandra, Author
Kuenne, Carsten2, Author           
Potus, Francois, Author
Guenther, Stefan3, Author           
Savai, Rajkumar1, Author           
Seeger, Werner1, Author           
Looso, Mario2, Author           
Zaugg, Judith B., AuthorTello, Khodr, AuthorProvencher, Steeve, AuthorBonnet, Sebastien, AuthorPullamsetti, Soni Savai1, Author            more..
Affiliations:
1Lung Development and Remodeling, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591698              
2Bioinformatics, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591704              
3Cardiac Development and Remodeling, Max Planck Institute for Heart and Lung Research, Max Planck Society, ou_2591695              

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 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.
Khassafi et al. identify molecular subgroups of right ventricular (RV) dysfunction using transcriptomic analysis of RV samples from individuals with compensated RV hypertrophy or decompensated RV failure and two rat models of RV dysfunction. Several extracellular matrix genes found to be deregulated in decompensated RV subgroups were validated at the protein level in two independent cohorts of individuals with pulmonary arterial hypertension, revealing their predictive biomarker potential in maladaptive RV development.

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 Dates: 2023-09-28
 Publication Status: Issued
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Title: NATURE CARDIOVASCULAR RESEARCH
Source Genre: Journal
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Pages: - Volume / Issue: 2 (10) Sequence Number: - Start / End Page: 917 - + Identifier: -