Reference : Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling
Scientific journals : Article
Human health sciences : Rheumatology
Human health sciences : Pharmacy, pharmacology & toxicology
http://hdl.handle.net/2268/26590
Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling
English
Meuwis, Marie-Alice mailto [Université de Liège - ULg > > GIGA-Management : Plate-forme protéomique >]
Fillet, Marianne [Université de Liège - ULg > Département de pharmacie > Analyse des médicaments >]
Geurts, Pierre mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
De Seny, Dominique mailto [Centre Hospitalier Universitaire de Liège - CHU > > Rhumatologie >]
Lutteri, Laurence mailto [Centre Hospitalier Universitaire de Liège - CHU > > Chimie médicale >]
Chapelle, Jean-Paul mailto [Université de Liège - ULg > Département de pharmacie > Chimie médicale >]
Bours, Vincent mailto [Université de Liège - ULg > Département des sciences biomédicales et précliniques > Génétique générale et humaine]
Wehenkel, Louis mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Belaiche, Jacques mailto [Université de Liège - ULg > Département des sciences cliniques > Hépato-gastroentérologie]
Malaise, Michel mailto [Université de Liège - ULg > Département des sciences cliniques > Rhumatologie]
Louis, Edouard mailto [Université de Liège - ULg > Département des sciences cliniques > Hépato-gastroentérologie >]
Merville, Marie-Paule mailto [Université de Liège - ULg > Département de pharmacie > Chimie médicale >]
2007
Biochemical Pharmacology
Pergamon-Elsevier Science Ltd
73
9
1422-1433
Yes (verified by ORBi)
International
0006-2952
Oxford
United Kingdom
[en] proteomics ; IBD ; biomarkers ; SELDI-TOF-MS ; inflammation ; serum profiling
[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.
FNRS; CHU Liège
Researchers ; Professionals ; Students
http://hdl.handle.net/2268/26590
also: http://hdl.handle.net/2268/21169
10.1016/j.bcp.2006.12.019

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