Transcriptional profiling unveils molecular subgroups of adaptive and maladaptive right ventricular remodeling in pulmonary hypertension.
Fatemeh KhassafiPrakash ChelladuraiChanil ValasarajanSreenath Reddy NayakantiSandra MartineauNatascha SommerTetsuro YokokawaOlivier BoucheratAryan KamalDavid G KielyAndrew J SwiftSamer AlabedJunichi OmuraSandra Breuils-BonnetCarsten KuenneFrancois PotusStefan GüntherRajkumar SavaiHorst-Walter BirkMario LoosoAllan LawrieJudith B ZauggKhodr TelloSteeve ProvencherSebastien BonnetSoni Savai PullamsettiPublished in: Nature cardiovascular research (2023)
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.
Keyphrases
- mycobacterium tuberculosis
- pulmonary hypertension
- pulmonary arterial hypertension
- magnetic resonance imaging
- extracellular matrix
- pulmonary artery
- heart failure
- single cell
- machine learning
- fatty acid
- gene expression
- poor prognosis
- computed tomography
- high throughput
- genome wide
- transcription factor
- rna seq
- risk assessment
- dna methylation
- hepatitis b virus
- pi k akt
- endoplasmic reticulum stress