Analysis of the Serum Peptidomics Profile for Cats With Sarcomeric Gene Mutation and Hypertrophic Cardiomyopathy

Pratch Sukumolanan1, Narumon Phanakrop2, Siriwan Thaisakun3

  • 1Veterinary Clinical Studies Program, Faculty of Veterinary Medicine, Graduated School, Kasetsart University, Nakorn Pathom, Thailand.

Insights

Serum peptidome analysis identified distinct peptide patterns in cats with hypertrophic cardiomyopathy (HCM) genetic mutations. These findings highlight potential biomarkers for HCM in cats, aiding in understanding disease variability and developing targeted treatments.

Area of Science:

  • Veterinary Medicine
  • Genetics
  • Biomarker Discovery

Background:

  • Hypertrophic cardiomyopathy (HCM) in cats presents a complex phenotype influenced by genetic factors.
  • Serum peptidome profiling offers a novel approach for identifying disease-specific biomarkers.
  • Understanding genetic contributions is crucial for managing feline HCM.

Purpose of the Study:

  • To differentiate peptide patterns in serum samples from cats with sarcomeric gene mutations versus healthy cats.
  • To identify specific peptide biomarkers associated with HCM-related genetic mutations in felines.
  • To explore the potential of peptidomics in understanding HCM pathogenesis in cats.

Main Methods:

  • Serum samples from 31 cats were analyzed using peptidomics.
  • Differential expression analysis was performed on 5,946 identified peptides.
  • Peptide patterns were compared between cats with and without sarcomeric gene mutations.

Main Results:

  • Distinct protein expression profiles were observed in control, Maine Coon, and genetically mutated Maine Coon cats.
  • Three peptides—Cytochrome 3a132 (CYP3A132), forkhead box O1 (FOXO1), and ArfGAP, with GTPase domains, ankyrin repeats, and PH domain 2 (AGAP2)—were significantly associated with gene mutations.
  • These peptides may serve as potential indicators of HCM in affected cats.

Conclusions:

  • The serum peptidome in cats with HCM mutations suggests dysregulation of metabolic and structural proteins.
  • Integrating genetic and peptidomics data can illuminate HCM phenotypic variability.
  • This research may lead to improved treatment targets for reducing HCM morbidity and mortality in cats.