Article (Scientific journals)
Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling
Meuwis, Marie-Alice; Fillet, Marianne; Geurts, Pierre et al.
2007In Biochemical Pharmacology, 73 (9), p. 1422-1433
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Keywords :
proteomics; IBD; biomarkers; SELDI-TOF-MS; inflammation; serum profiling
Abstract :
[en] Crohn's disease and ulcerative colitis known as inflammatory bowel diseases (IBD) are chronic immuno-inflammatory pathologies of the gastrointestinal tract. These diseases are multifactorial, polygenic and of unknown etiology. Clinical presentation is non-specific and diagnosis is based on clinical, endoscopic, radiological and histological criteria. Novel markers are needed to improve early diagnosis and classification of these pathologies. We performed a study with 120 serum samples collected from patients classified in 4 groups (30 Crohn, 30 ulcerative colitis, 30 inflammatory controls and 30 healthy controls) according to accredited criteria. We compared protein sera profiles obtained with a Surface Enhanced Laser Desorption Ionization-Time of Flight-Mass Spectrometer (SELDI-TOF-MS). Data analysis with univariate process and a multivariate statistical method based on multiple decision trees algorithms allowed us to select some potential biomarkers. Four of them were identified by mass spectrometry and antibody based methods. Multivariate analysis generated models that could classify samples with good sensitivity and specificity (minimum 80%) discriminating groups of patients. This analysis was used as a tool to classify peaks according to differences in level on spectra through the four categories of patients. Four biomarkers showing important diagnostic value were purified, identified (PF4, MRP8, FIBA and Hpalpha2) and two of these: PF4 and Hpalpha2 were detected in sera by classical methods. SELDI-TOF-MS technology and use of the multiple decision trees method led to protein biomarker patterns analysis and allowed the selection of potential individual biomarkers. Their downstream identification may reveal to be helpful for IBD classification and etiology understanding.
Disciplines :
Rheumatology
Pharmacy, pharmacology & toxicology
Author, co-author :
Meuwis, Marie-Alice   ;  Université de Liège - ULiège > GIGA-Management : Plate-forme protéomique
Fillet, Marianne  ;  Université de Liège - ULiège > Département de pharmacie > Analyse des médicaments
Geurts, Pierre ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
De Seny, Dominique ;  Centre Hospitalier Universitaire de Liège - CHU > Rhumatologie
Lutteri, Laurence ;  Centre Hospitalier Universitaire de Liège - CHU > Chimie médicale
Chapelle, Jean-Paul ;  Université de Liège - ULiège > Département de pharmacie > Chimie médicale
Bours, Vincent ;  Université de Liège - ULiège > Département des sciences biomédicales et précliniques > Génétique générale et humaine
Wehenkel, Louis  ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation
Belaiche, Jacques ;  Université de Liège - ULiège > Département des sciences cliniques > Hépato-gastroentérologie
Malaise, Michel ;  Université de Liège - ULiège > Département des sciences cliniques > Rhumatologie
Louis, Edouard  ;  Université de Liège - ULiège > Département des sciences cliniques > Hépato-gastroentérologie
Merville, Marie-Paule ;  Université de Liège - ULiège > Département de pharmacie > Chimie médicale
 These authors have contributed equally to this work.
Language :
English
Title :
Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling
Publication date :
2007
Journal title :
Biochemical Pharmacology
ISSN :
0006-2952
eISSN :
1873-2968
Publisher :
Pergamon-Elsevier Science Ltd, Oxford, United Kingdom
Volume :
73
Issue :
9
Pages :
1422-1433
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
FNRS; CHU Liège
Available on ORBi :
since 07 September 2009

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