title: Molecular differentiation of ischemic and valvular heart disease by liquid chromatography/fourier transform ion cyclotron resonance mass spectrometry.
abstract: Proteomic patterns of myocardial tissue in different etiologies of heart failure were investigated using a direct analytical approach with High Performance Liquid Chromatography (HPLC)/Fourier Transform Ion Cyclotron Resonance Mass Spectrometry (FT-ICR MS). Right atrial appendages from 20 patients, 10 with hemodynamically significant isolated aortic valve disease and 10 with symptomatic coronary artery disease were collected during elective cardiac surgery. After preparation of tissue samples and tryptic digestion of proteins, the peptide mixture was HPLC-separated and on-line analyzed by electrospray FT-ICR MS. Data obtained from HPLC / FT-ICR MS runs were compared for classification. To extract the classification features, the selection of best individual features was applied and the "nearest mean classifier" was used for the classification of test samples and the sample projection onto classification patterns. The pattern distribution characteristics of aortic and coronary diseases were clearly different. No interference between samples of both disease categories was registered, even if the distribution of unsupervised classified test samples were closer. Samples representing aortic valve disease showed a closer accumulation pattern of spots compared to the samples representing coronary disease, which indicated a more specific protein classification. Through selective identification of specific peptides and protein patterns with FTMS, valvular and coronary heart disease is for the first time clearly distinguished at molecular level. The described methodology could also be feasible in search for specific biomarkers in plasma or serum for diagnostic purposes.
authors.affiliation: Division of Cardio-Thoracic Surgery, University Hospital, Basel, Switzerland. baykutd@uhbs.ch
authors.forename: Doan
authors.initials: D
authors.lastname: Baykut
authors.forename: M
authors.initials: M
authors.lastname: Grapow
authors.forename: M
authors.initials: M
authors.lastname: Bergquist
authors.forename: A
authors.initials: A
authors.lastname: Amirkhani
authors.forename: I
authors.initials: I
authors.lastname: Ivonin
authors.forename: D
authors.initials: D
authors.lastname: Reineke
authors.forename: T
authors.initials: T
authors.lastname: Grussenmeyer
authors.forename: P
authors.initials: P
authors.lastname: Hakansson
authors.forename: H-R
authors.initials: HR
authors.lastname: Zerkowski
authors.forename: G
authors.initials: G
authors.lastname: Baykut
authors.forename: J
authors.initials: J
authors.lastname: Bergquist
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001021:Aortic Valve / Q000601:surgery; D015415:Biomarkers / Q000378:metabolism*; D002851:Chromatography, High Pressure Liquid; D002853:Chromatography, Liquid; D017357:Cyclotrons; D005260:Female; D005583:Fourier Analysis; D006349:Heart Valve Diseases / Q000175:diagnosis* / Q000378:metabolism / Q000601:surgery; D006801:Humans; D008297:Male; D008875:Middle Aged; D017202:Myocardial Ischemia / Q000175:diagnosis* / Q000378:metabolism / Q000601:surgery; D011506:Proteins / Q000032:analysis; D040901:Proteomics; D021241:Spectrometry, Mass, Electrospray Ionization
chemical_list: D015415:Biomarkers; D011506:Proteins