[en] Acute graft-versus-host disease (aGVHD) remains a life-threatening complication of hematopoietic stem cell transplantation (HSCT), limiting its application. To optimize management of aGVHD and reduce therapy-related toxicity, early specific markers are needed. The main objective of this study was thus to uncover diagnostic biomarkers comparing plasma protein profiles of patients at the time of acute GVHD diagnosis and of patients undergoing HSCT without aGVHD. Additional analysis of samples taken 15 days before aGVHD diagnosis was also performed to evaluate the potential of the newly discovered biomarkers for early diagnosis. To extract a maximum of information from plasma samples, we used three complementary proteomic approaches, namely 2D-DIGE, SELDI-TOF-MS and 2D-LC-MSE.
We identified and confirmed by means of a independent techniques, the differential expression of several proteins indicating significantly increased inflammation response and disturbance in the coagulation cascade. The variation of these proteins was already observed 15 days before GVHD diagnosis, suggesting the potential early detection of the disease before symptoms appearance.
Finally, logistic regression analysis determines a composite biomarker panel comprising fibrinogen, fragment of fibrinogen beta chain, SAA, prothrombin fragments, apolipoprotein A1 and hepcidin that optimally discriminated patients with and without GVHD. The area under the receiver operating characteristic curve distinguishing these 2 groups was 0.95.
Disciplines :
Laboratory medicine & medical technology
Author, co-author :
De Bock, Muriel
BEGUIN, Yves ; Centre Hospitalier Universitaire de Liège - CHU > Hématologie clinique
Leprince, Pierre ; Université de Liège - ULiège > GIGA - Neurosciences
WILLEMS, Evelyne ; Centre Hospitalier Universitaire de Liège - CHU > Hématologie clinique
BARON, Frédéric ; Centre Hospitalier Universitaire de Liège - CHU > Hématologie clinique
Deroyer, Céline ; Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
Seidel, Laurence ; Université de Liège - ULiège > Département des sciences de la santé publique > Informatique médicale et biostatistique
CAVALIER, Etienne ; Centre Hospitalier Universitaire de Liège - CHU > Chimie médicale
DE SENY, Dominique ; Centre Hospitalier Universitaire de Liège - CHU > Rhumatologie
MALAISE, Michel ; Centre Hospitalier Universitaire de Liège - CHU > Rhumatologie
GOTHOT, André ; Centre Hospitalier Universitaire de Liège - CHU > Hématologie biologique et immuno hématologie
MERVILLE, Marie-Paule ; Centre Hospitalier Universitaire de Liège - CHU > Laboratoire NDB
Fillet, Marianne ; Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
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