Prediction of Graft versus Host Disease after Allogeneic Stem Cell Transplantation Using Proteomic Approaches

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Authors

KAPLANOVÁ Alexandra ZDRÁHAL Zbyněk KONEČNÁ Hana ŠEDO Ondrej MAYER Jiří POSPÍŠILOVÁ Šárka

Year of publication 2007
Type Conference abstract
MU Faculty or unit

Faculty of Medicine

Citation
Description Aim: Allogeneic hematopoietic stem cell transplantation (allo-SCT) is a curative treatment for many hematological malignancies or hematopoietic dysfunction syndromes, but the application is still limited due to major complications, such as severe acute graft versus host disease (GvHD). This study aimed to identify plasma proteins correlating with occurrence of early GvHD. Material and methods: Samples of blood plasma, urine and lymphocytes were collected from the same patient from the beginning of pre-transplantation treatment (usually 7 days before allo-SCT) up to the day 100 after allo-SCT. Samples for analysis were chosen at three time points: (1) approx. 10 days before GvHD manifestation, (2) approx. 2 days before GvHD manifestation and (3) during GvHD manifestation. 2-dimensional gel electrophoresis (2-DE) was used for separation of blood plasma proteins. Proteins considered as potential biomarkers for early prediction of GvHD were selected by image analysis. Protein spots with different expression levels were characterized by matrix-assisted laser desorption/ionization - time of flight mass spectrometry (MALDI-TOF-MS) using peptide mass fingerprinting. Conclusion: Proteomic analysis revealed several proteins differentially expressed during GvHD development. These potential biomarkers included serum natural proteinases (macroglobulin alpha2 and alpha1 anti-trypsin), components of complement (complement 4 binding protein and complement factor I), proteins of acute phase (haptoglobin, C-reactive protein and amyloid related serum protein (SAA)) and other proteins such as fibrin, fibrinogen, inter-alpha (globulin) inhibitor H4 and hemopexin precursor. These potential biomarkers could improve early prediction and treatment of GvHD and thereby reduce GvHD incidence and complications.
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