Spatiotemporal Multi-Omics Mapping Generates a Molecular Atlas of the Aortic Valve and Reveals Networks Driving

Florian Schlotter1, Arda Halu1,2, Shinji Goto1

  • 1Center for Interdisciplinary Cardiovascular Sciences, Division of Cardiovascular Medicine (F.S., A.H., S.G., M.C.B., L.H.L., H.H., J.D.H., P.V., T.P., M.A.R., M.A., S.A.S., E.A.).

Circulation
|March 29, 2018
PubMed

Insights

Calcific aortic valve disease (CAVD) lacks pharmacological treatments. This study identified molecular networks and cell behaviors driving CAVD progression, offering new diagnostic and therapeutic targets for this cardiac condition.

Area of Science:

  • Cardiovascular Biology
  • Molecular Medicine
  • Systems Biology

Background:

  • Calcific aortic valve disease (CAVD) is a progressive cardiac condition with no current pharmacological therapies, necessitating invasive valve replacement.
  • Understanding CAVD's complex pathology across multiple stages and tissue layers is crucial for developing diagnostics and therapeutics.
  • The unique cellular and extracellular matrix characteristics of the aortic valve present significant challenges in studying CAVD.

Purpose of the Study:

  • To investigate the molecular mechanisms and regulatory networks underlying calcific aortic valve disease (CAVD) progression.
  • To identify distinct molecular signatures across different pathological stages and anatomical layers of the aortic valve.
  • To explore the calcification potential of valvular interstitial cells and their proteomic responses to stimuli.

Main Methods:

  • Utilized multi-omics approaches including transcriptomics and proteomics on human stenotic aortic valves.
  • Employed near-infrared molecular imaging and laser capture microdissection for stage- and layer-specific sample segmentation.
  • Established side-specific cell cultures to assess calcification potential and proteomic profiles under various stimuli.
  • Constructed molecular interaction networks to identify key proteins and disease associations.

Main Results:

  • Differentiated global gene and protein expression patterns across non-diseased, fibrotic, and calcific CAVD stages.
  • Identified unique proteome profiles in aortic valve microlayers, with glial fibrillary acidic protein as a marker for spongiosa layer valvular interstitial cells.
  • Observed increased smooth muscle cell activation, inflammation, and calcification pathways during CAVD progression.
  • Fibrosa-derived valvular interstitial cells exhibited higher calcification potential in vitro compared to ventricularis cells.
  • Protein-protein interaction networks revealed significant links to inflammatory and fibrotic diseases.

Conclusions:

  • Developed a spatially and temporally resolved multi-omics strategy to map molecular regulatory networks in CAVD.
  • Identified novel molecular pathways and cell behaviors driving CAVD pathogenesis.
  • Established a systematic disease ontology applicable to omics studies in cardiovascular diseases, paving the way for new therapeutic strategies.
Abstract

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