title: Time course proteomic profiling of human myocardial infarction plasma samples: an approach to new biomarker discovery.
abstract: BACKGROUND
  The aim of this study was to identify novel candidate biomarker proteins differentially expressed in the plasma of patients with early stage acute myocardial infarction (AMI) using SELDI-TOF-MS as a high throughput screening technology.
  
  
  METHODS
  Ten individuals with recent acute ischemic-type chest pain (<12 h duration) and ST-segment elevation AMI (1STEMI) and after a second AMI (2STEMI) were selected. Blood samples were drawn at six times after STEMI diagnosis. The first stage (T0) was in Emergency Unit before receiving any medication, the second was just after primary angioplasty (T2), and the next four stages occurred at 12 h intervals after T0. Individuals (n=7) with similar risk factors for cardiovascular disease and normal ergometric test were selected as a control group (CG). Plasma proteomic profiling analysis was performed using the top-down (i.e. intact proteins) SELDI-TOF-MS, after processing in a Multiple Affinity Removal Spin Cartridge System (Agilent).
  
  
  RESULTS
  Compared with the CG, the 1STEMI group exhibited 510 differentially expressed protein peaks in the first 48 h after the AMI (p<0.05). The 2STEMI group, had ~85% fewer differently expressed protein peaks than those without previous history of AMI (76, p<0.05). Among the 16 differentially-regulated protein peaks common to both STEMI cohorts (compared with the CG at T0), 6 peaks were persistently down-regulated at more than one time-stage, and also were inversed correlated with serum protein markers (cTnI, CK and CKMB) during 48 h-period after IAM.
  
  
  CONCLUSIONS
  Proteomic analysis by SELDI-TOF-MS technology combined with bioinformatics tools demonstrated differential expression during a 48 h time course suggests a potential role of some of these proteins as biomarkers for the very early stages of AMI, as well as for monitoring early cardiac ischemic recovery.
authors.affiliation: School of Pharmaceutical Sciences, University of Sao Paulo, SP, Brazil. viviansilbiger@usp.br
authors.forename: Vivian Nogueira
authors.initials: VN
authors.lastname: Silbiger
authors.forename: André Ducati
authors.initials: AD
authors.lastname: Luchessi
authors.forename: Rosario Dominguez Crespo
authors.initials: RD
authors.lastname: Hirata
authors.forename: Lidio Gonçalves Lima
authors.initials: LG
authors.lastname: Neto
authors.forename: Carla Prisinzano
authors.initials: CP
authors.lastname: Pastorelli
authors.forename: Eric K M
authors.initials: EK
authors.lastname: Ueda
authors.forename: Elizabete Silva
authors.initials: ES
authors.lastname: dos Santos
authors.forename: Marcos Paulo
authors.initials: MP
authors.lastname: Pereira
authors.forename: Rui
authors.initials: R
authors.lastname: Ramos
authors.forename: Marcelo Ferraz
authors.initials: MF
authors.lastname: Sampaio
authors.forename: Dikran
authors.initials: D
authors.lastname: Armaganijan
authors.forename: Sun H
authors.initials: SH
authors.lastname: Paik
authors.forename: Yoko
authors.initials: Y
authors.lastname: Murata
authors.forename: Guck T
authors.initials: GT
authors.lastname: Ooi
authors.forename: Earl W
authors.initials: EW
authors.lastname: Ferguson
authors.forename: Mario Hiroyuki
authors.initials: MH
authors.lastname: Hirata
mesh_terms: D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood / Q000378:metabolism; D016022:Case-Control Studies; D004562:Electrocardiography; D006801:Humans; D008875:Middle Aged; D009203:Myocardial Infarction / Q000097:blood* / Q000378:metabolism* / Q000503:physiopathology; D025341:Principal Component Analysis; D040901:Proteomics / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D013997:Time Factors
chemical_list: D015415:Biomarkers