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Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
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Application of Proteomics Profiling for Biomarker Discovery in Hypertrophic Cardiomyopathy

Yuichi J Shimada1,2, Kohei Hasegawa3, Stephanie M Kochav4

  • 1Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. ys3053@cumc.columbia.edu.

Journal of Cardiovascular Translational Research
|July 7, 2019
PubMed

Insights

High-throughput proteomics identified novel plasma biomarkers for hypertrophic cardiomyopathy (HCM). This study accurately distinguishes HCM patients from controls using proteomic profiles.

Area of Science:

  • Cardiovascular Research
  • Proteomics
  • Biomarker Discovery

Background:

  • Hypertrophic cardiomyopathy (HCM) lacks established plasma protein biomarkers for diagnosis.
  • High-throughput proteomics has not been previously applied to identify HCM biomarkers.

Purpose of the Study:

  • To discover plasma protein biomarkers differentiating HCM patients from healthy controls.
  • To evaluate the diagnostic accuracy of identified protein signatures.

Main Methods:

  • Case-control study involving 15 HCM patients and 22 controls.
  • Plasma proteomics profiling of 1129 proteins using the SOMAscan assay.
  • Sparse partial least squares discriminant analysis and receiver operating characteristic curve analysis for biomarker identification and validation.

Main Results:

  • Identified 50 discriminant proteins with high accuracy (89%) and an average AUC of 0.94.
  • 13 identified proteins correlated with troponin I levels.
  • 12 proteins correlated with New York Heart Association functional class.

Conclusions:

  • High-throughput proteomics is a viable method for discovering protein biomarkers in HCM.
  • The identified protein signature shows potential for distinguishing HCM from controls.
  • Proteomic profiling offers new avenues for understanding HCM pathophysiology.

Keywords:
Biomarker discoveryHypertrophic cardiomyopathyProteomics

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