Discovery of proteins related to coronary artery disease using industrial-scale proteomics analysis of pooled plasma.
BACKGROUND
Relating a disease state to an entire population of proteins provides an opportunity to gain new insights into a disease.


METHODS
Male populations of 53 patients with angiographic coronary artery disease and 53 control subjects without coronary disease from the Duke Databank for Cardiovascular Disease were established and matched for age and race as well as extremes of risk factors. Major plasma protein abnormalities were excluded. Plasma samples of each group were pooled to make large volumes (6 L each) to identify low-abundance proteins. After removal of albumin as well as immunoglobulins and enrichment of smaller proteins (<20-40 kDa), samples were separated into 12,960 fractions by cation exchange and 2 reversed-phase chromatography steps. Proteins were analyzed by liquid chromatography-electrospray ionization tandem mass spectrometry.


RESULTS
There were 731 plasma proteins or fragments identified. Of these proteins, 95 were differentially displayed in the case versus control populations. These represent broad categories of proteins involved with natural defenses, inflammation, growth, and coagulation.


CONCLUSIONS
We identified a large number of proteins that differ in abundance in populations with and those without angiographic coronary disease. These proteins now comprise candidates for validation studies in individual patients and in larger clinical data sets to better define disease pathways and establish novel markers for disease.
Donahue
Mark P
MP
Duke University Medical Center and the Duke Clinical Research Institute, Durham, NC 27710, USA. mark.donahue@duke.edu
Rose
Keith
K
Hochstrasser
Denis
D
Vonderscher
Jacky
J
Grass
Peter
P
Chibout
Salah-Dine
SD
Nelson
Charlotte L
CL
Sinnaeve
Peter
P
Goldschmidt-Clermont
Pascal J
PJ
Granger
Christopher B
CB
D000328:Adult; D000368:Aged; D015415:Biomarkers / Q000097:blood; D001798:Blood Proteins / Q000302:isolation & purification*; D003324:Coronary Artery Disease / Q000097:blood* / Q000175:diagnosis / Q000473:pathology; D006801:Humans; D008297:Male; D008875:Middle Aged; D040901:Proteomics / Q000379:methods*; D012307:Risk Factors
D015415:Biomarkers; D001798:Blood Proteins