Influence of hormone replacement therapy on proteomic pattern in serum of postmenopausal women.
OBJECTIVE
Proteomics approaches to cardiovascular biology and disease hold the promise of identifying specific proteins and peptides or modification thereof to assist in the identification of novel biomarkers.


METHODS
By using surface-enhanced laser desorption and ionization time of flight mass spectroscopy (SELDI-TOF-MS) serum peptide and protein patterns were detected enabling to discriminate between postmenopausal women with and without hormone replacement therapy (HRT).


RESULTS
Serum of 13 HRT and 27 control subjects was analyzed and 42 peptides and proteins could be tentatively identified based on their molecular weight and binding characteristics on the chip surface. By using decision tree-based Biomarker Patternstrade mark Software classification and regression analysis a discriminatory function was developed allowing to distinguish between HRT women and controls correctly and, thus, yielding a sensitivity of 100% and a specificity of 100%. The results show that peptide and protein patterns have the potential to deliver novel biomarkers as well as pinpointing targets for improved treatment. The biomarkers obtained represent a promising tool to discriminate between HRT users and non-users.


CONCLUSIONS
According to a tentative identification of the markers by their molecular weight and binding characteristics, most of them appear to be part of the inflammation induced acute-phase response.
Gericke
Beate
B
Institute of Nutritional Science, University Potsdam, Arthur-Scheunert-Allee 114-116, D 14558 Nuthetal, Germany. steinhag@rz.uni-potsdam.de
Koebnick
Corinna
C
Reimann
Manja
M
Forterre
Simone
S
Franz Zunft
H J
HJ
Schweigert
Florian J
FJ
D001798:Blood Proteins / Q000032:analysis / Q000737:chemistry / Q000187:drug effects*; D015992:Body Mass Index; D016022:Case-Control Studies; D015914:Estrogen Replacement Therapy; D005260:Female; D006242:Haptoglobins / Q000737:chemistry / Q000187:drug effects; D006801:Humans; D008875:Middle Aged; D010455:Peptides / Q000097:blood / Q000737:chemistry / Q000187:drug effects; D017698:Postmenopause / Q000097:blood* / Q000187:drug effects / Q000378:metabolism; D040081:Protein Array Analysis; D040901:Proteomics / Q000379:methods*; D012372:ROC Curve; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
D001798:Blood Proteins; D006242:Haptoglobins; D010455:Peptides