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Published in: Digestive Diseases and Sciences 11/2012

01-11-2012 | Review

Current Advantages in the Application of Proteomics in Inflammatory Bowel Disease

Authors: Anna Vaiopoulou, Maria Gazouli, George Theodoropoulos, George Zografos

Published in: Digestive Diseases and Sciences | Issue 11/2012

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Abstract

Since the formulation of the concept of proteomics, a plethora of proteomic technologies have been developed in order to study proteomes. In inflammatory bowel disease (IBD), several studies use proteomics to try to better understand the disease and discover molecules which can be used as biomarkers. Biomarkers should be able to be used for diagnosis, therapy and prognosis. Although several biomarkers have been discovered, few biomarkers have clinical value. In this review, we analyze and report the current use of proteomic techniques to highlight biomarkers characterizing IBD, and different stages of disease activity. We also report the biomarkers and their potential clinical value.
Literature
3.
go back to reference Wirtz S, Neurath MF. Mouse models of inflammatory bowel disease. Adv Drug Deliv Rev. 2007;59:1073–1083.PubMedCrossRef Wirtz S, Neurath MF. Mouse models of inflammatory bowel disease. Adv Drug Deliv Rev. 2007;59:1073–1083.PubMedCrossRef
4.
go back to reference Xavier R, Podolsky DK. Commensal flora: wolf in sheep’s clothing. Gastroenterology. 2005;128:1122–1126.PubMedCrossRef Xavier R, Podolsky DK. Commensal flora: wolf in sheep’s clothing. Gastroenterology. 2005;128:1122–1126.PubMedCrossRef
5.
go back to reference Kugathasan S, Fiocchi C. Progress in basic inflammatory bowel disease research. Semin Pediatr Surg. 2007;16:146–153.PubMedCrossRef Kugathasan S, Fiocchi C. Progress in basic inflammatory bowel disease research. Semin Pediatr Surg. 2007;16:146–153.PubMedCrossRef
6.
go back to reference Meuwis MA, Fillet M, Geurts P, et al. Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling. Biochem Pharmacol. 2007;73:1422–1433.PubMedCrossRef Meuwis MA, Fillet M, Geurts P, et al. Biomarker discovery for inflammatory bowel disease, using proteomic serum profiling. Biochem Pharmacol. 2007;73:1422–1433.PubMedCrossRef
7.
go back to reference Mendoza JL, Abreu MT. Biological markers in inflammatory bowel disease: practical consideration for clinicians. Gastroenterol Clin Biol. 2009;33:S158–S173.PubMedCrossRef Mendoza JL, Abreu MT. Biological markers in inflammatory bowel disease: practical consideration for clinicians. Gastroenterol Clin Biol. 2009;33:S158–S173.PubMedCrossRef
8.
go back to reference Iskandar HN, Ciorba MA. Biomarkers in inflammatory bowel disease: current practices and recent advances. Trans Res. 2012;159:313–325.CrossRef Iskandar HN, Ciorba MA. Biomarkers in inflammatory bowel disease: current practices and recent advances. Trans Res. 2012;159:313–325.CrossRef
9.
go back to reference Li X, Conklin L, Alex P. New serological biomarkers of inflammatory bowel disease. World J Gastroenterol. 2008;14:5115–5124.PubMedCrossRef Li X, Conklin L, Alex P. New serological biomarkers of inflammatory bowel disease. World J Gastroenterol. 2008;14:5115–5124.PubMedCrossRef
10.
go back to reference Alex P, Gucek M, Li X. Applications of proteomics in the study of inflammatory bowel diseases: current status and future directions with available technologies. Inflamm Bowel Dis. 2009;15:616–629.PubMedCentralPubMedCrossRef Alex P, Gucek M, Li X. Applications of proteomics in the study of inflammatory bowel diseases: current status and future directions with available technologies. Inflamm Bowel Dis. 2009;15:616–629.PubMedCentralPubMedCrossRef
11.
go back to reference Roy P, Shukla Y. Applications of proteomic techniques in cancer research. Cancer Therapy. 2008;6:841–856. Roy P, Shukla Y. Applications of proteomic techniques in cancer research. Cancer Therapy. 2008;6:841–856.
12.
go back to reference Goldknopf IL. Blood-based proteomics for personalized medicine: examples from neurodegenerative disease. Expert Rev Proteomics. 2008;5:1–8.PubMedCrossRef Goldknopf IL. Blood-based proteomics for personalized medicine: examples from neurodegenerative disease. Expert Rev Proteomics. 2008;5:1–8.PubMedCrossRef
13.
go back to reference Veenstra TD, Conrads TP, Hood BL, Avellino AM, Ellenbogen RG, Morrison RS. Biomarkers: mining the biofluid proteome. Mol Cell Proteomics. 2005;4:409–418.PubMedCrossRef Veenstra TD, Conrads TP, Hood BL, Avellino AM, Ellenbogen RG, Morrison RS. Biomarkers: mining the biofluid proteome. Mol Cell Proteomics. 2005;4:409–418.PubMedCrossRef
14.
go back to reference VanMeter A, Signore M, Pierobon M, Espina V, Liotta LA, Petricoin EF 3rd. Reverse-phase protein microarrays: application to biomarker discovery and translational medicine. Expert Rev Mol Diagn. 2007;7:625–633.PubMedCrossRef VanMeter A, Signore M, Pierobon M, Espina V, Liotta LA, Petricoin EF 3rd. Reverse-phase protein microarrays: application to biomarker discovery and translational medicine. Expert Rev Mol Diagn. 2007;7:625–633.PubMedCrossRef
15.
go back to reference Cekaite L, Hovig E, Sioud M. Protein arrays: a versatile toolbox for target identification and monitoring of patient immune responses. Methods Mol Biol. 2007;360:335–348.PubMed Cekaite L, Hovig E, Sioud M. Protein arrays: a versatile toolbox for target identification and monitoring of patient immune responses. Methods Mol Biol. 2007;360:335–348.PubMed
16.
go back to reference Hamelinck D, Zhou H, Li L, et al. Optimized normalization for antibody microarrays and application to serum-protein profiling. Mol Cell Proteomics. 2005;4:773–784.PubMedCrossRef Hamelinck D, Zhou H, Li L, et al. Optimized normalization for antibody microarrays and application to serum-protein profiling. Mol Cell Proteomics. 2005;4:773–784.PubMedCrossRef
17.
go back to reference Chaerkady R, Pandey A. Applications of proteomics to lab diagnosis. Annu Rev Pathol. 2008;3:485–498.PubMedCrossRef Chaerkady R, Pandey A. Applications of proteomics to lab diagnosis. Annu Rev Pathol. 2008;3:485–498.PubMedCrossRef
18.
go back to reference Cravatt BF, Simon GM, Yates JR 3rd. The biological impact of mass-spectrometry- based proteomics. Nature. 2007;450:991–1000.PubMedCrossRef Cravatt BF, Simon GM, Yates JR 3rd. The biological impact of mass-spectrometry- based proteomics. Nature. 2007;450:991–1000.PubMedCrossRef
19.
go back to reference Hanash SM, Pitteri SJ, Faca VM. Mining the plasma proteome for cancer biomarkers. Nature. 2008;452:571–579.PubMedCrossRef Hanash SM, Pitteri SJ, Faca VM. Mining the plasma proteome for cancer biomarkers. Nature. 2008;452:571–579.PubMedCrossRef
20.
go back to reference Gulcicek EE, Colangelo CM, McMurray W, et al. Proteomics and the analysis of proteomic data: an overview of current protein-profiling technologies. Curr Protoc Bioinformatics. 2005;13:1.PubMed Gulcicek EE, Colangelo CM, McMurray W, et al. Proteomics and the analysis of proteomic data: an overview of current protein-profiling technologies. Curr Protoc Bioinformatics. 2005;13:1.PubMed
21.
go back to reference Reinders J, Sickmann A. Modificomics: posttranslational modifications beyond protein phosphorylation and glycosylation. Biomol Eng. 2007;24:169–177.PubMedCrossRef Reinders J, Sickmann A. Modificomics: posttranslational modifications beyond protein phosphorylation and glycosylation. Biomol Eng. 2007;24:169–177.PubMedCrossRef
22.
go back to reference Walsh CT, Garneau-Tsodikova S, Gatto GJ Jr. Protein posttranslational modifications: the chemistry of proteome diversifications. Angew Chem Int Ed Engl. 2005;44:7342–7372.PubMedCrossRef Walsh CT, Garneau-Tsodikova S, Gatto GJ Jr. Protein posttranslational modifications: the chemistry of proteome diversifications. Angew Chem Int Ed Engl. 2005;44:7342–7372.PubMedCrossRef
23.
go back to reference Felley-Bosco E, André M. Proteomics and chronic inflammatory bowel diseases. Pathol Res Pract. 2004;200:129–133.PubMedCrossRef Felley-Bosco E, André M. Proteomics and chronic inflammatory bowel diseases. Pathol Res Pract. 2004;200:129–133.PubMedCrossRef
24.
go back to reference Feng JT, Shang S, Beretta L. Proteomics for the early detection and treatment of hepatocellular carcinoma. Oncogene. 2006;25:3810–3817.PubMedCrossRef Feng JT, Shang S, Beretta L. Proteomics for the early detection and treatment of hepatocellular carcinoma. Oncogene. 2006;25:3810–3817.PubMedCrossRef
25.
go back to reference Mann M, Hendrickson RC, Pandey A. Analysis of proteins and proteomes by mass spectrometry. Annu Rev Biochem. 2001;70:437–473.PubMedCrossRef Mann M, Hendrickson RC, Pandey A. Analysis of proteins and proteomes by mass spectrometry. Annu Rev Biochem. 2001;70:437–473.PubMedCrossRef
26.
go back to reference Hatsugai M, Kurokawa MS, Kouro T, et al. Protein profiles of peripheral blood mononuclear cells are useful for differential diagnosis of ulcerative colitis and Crohn’s disease. J Gastroenterol. 2010;45:488–500.PubMedCrossRef Hatsugai M, Kurokawa MS, Kouro T, et al. Protein profiles of peripheral blood mononuclear cells are useful for differential diagnosis of ulcerative colitis and Crohn’s disease. J Gastroenterol. 2010;45:488–500.PubMedCrossRef
27.
go back to reference Markó L, Szigeti N, Szabó Z, et al. Potential urinary biomarkers of disease activity in Crohn’s disease. Scand J Gastroenterol. 2010;45:1440–1448.PubMedCrossRef Markó L, Szigeti N, Szabó Z, et al. Potential urinary biomarkers of disease activity in Crohn’s disease. Scand J Gastroenterol. 2010;45:1440–1448.PubMedCrossRef
28.
go back to reference Meuwis MA, Fillet M, Lutteri L, et al. Proteomics for prediction and characterization of response to infliximab in Crohn’s disease: a pilot study. Clin Biochem. 2008;41:960–967.PubMedCrossRef Meuwis MA, Fillet M, Lutteri L, et al. Proteomics for prediction and characterization of response to infliximab in Crohn’s disease: a pilot study. Clin Biochem. 2008;41:960–967.PubMedCrossRef
29.
go back to reference Nanni P, Parisi D, Roda G, et al. Serum protein profiling in patients with inflammatory bowel diseases using selective solid-phase bulk extraction, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and chemometric data analysis. Rapid Commun Mass Spectrom. 2007;21:4142–4148.PubMedCrossRef Nanni P, Parisi D, Roda G, et al. Serum protein profiling in patients with inflammatory bowel diseases using selective solid-phase bulk extraction, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and chemometric data analysis. Rapid Commun Mass Spectrom. 2007;21:4142–4148.PubMedCrossRef
30.
go back to reference Subramanian V, Subramanian D, Pollok RC. Serum protein signatures determined by mass Spectrometry (SELDI-ToF) accurately distinguishes Crohn’s disease (CD) from ulcerative colitis (UC). Gastroenterology. 2008;134:196. Subramanian V, Subramanian D, Pollok RC. Serum protein signatures determined by mass Spectrometry (SELDI-ToF) accurately distinguishes Crohn’s disease (CD) from ulcerative colitis (UC). Gastroenterology. 2008;134:196.
31.
go back to reference Bertone P, Snyder M. Advances in functional protein microarray technology. FEBS J. 2005;272:5400–5411.PubMedCrossRef Bertone P, Snyder M. Advances in functional protein microarray technology. FEBS J. 2005;272:5400–5411.PubMedCrossRef
33.
go back to reference Chen CS, Sullivan S, Anderson T, et al. Identification of novel serological biomarkers for inflammatory bowel disease using Escherichia coli proteome chip. Mol Cell Proteomics. 2009;8:1765–1776.PubMedCrossRef Chen CS, Sullivan S, Anderson T, et al. Identification of novel serological biomarkers for inflammatory bowel disease using Escherichia coli proteome chip. Mol Cell Proteomics. 2009;8:1765–1776.PubMedCrossRef
34.
go back to reference Vermeulen N, Vermeire S, Michiels G, Joossens M, Rutgeerts PJ, Bosuyt X. Protein microarray experiments for profiling of the autoimmune response in inflammatory bowel disease; identification of PHLA1. Gastroenterology. 2008;134:197.CrossRef Vermeulen N, Vermeire S, Michiels G, Joossens M, Rutgeerts PJ, Bosuyt X. Protein microarray experiments for profiling of the autoimmune response in inflammatory bowel disease; identification of PHLA1. Gastroenterology. 2008;134:197.CrossRef
35.
go back to reference Sullivan S, Zhu H, Cuffari C, et al. Identification and validation of serological IBD biomarkers by a novel high throughput proteomic approach using high density protein chip technology. Gastroenterology. 2006;130:A24. Sullivan S, Zhu H, Cuffari C, et al. Identification and validation of serological IBD biomarkers by a novel high throughput proteomic approach using high density protein chip technology. Gastroenterology. 2006;130:A24.
36.
go back to reference Kader HA, Tchernev VT, Satyaraj E, et al. Patel. Protein microarray analysis of disease activity in pediatric inflammatory bowel disease demonstrates elevated serum PLGF, IL-7, TGF-β1, and IL-12p40 levels in Crohn’s disease and ulcerative colitis patients in remission versus active disease. Am J Gastroenterol. 2005;100:414–423.PubMedCentralPubMedCrossRef Kader HA, Tchernev VT, Satyaraj E, et al. Patel. Protein microarray analysis of disease activity in pediatric inflammatory bowel disease demonstrates elevated serum PLGF, IL-7, TGF-β1, and IL-12p40 levels in Crohn’s disease and ulcerative colitis patients in remission versus active disease. Am J Gastroenterol. 2005;100:414–423.PubMedCentralPubMedCrossRef
37.
go back to reference Schrader M, Schulz-Knappe P. Peptidomics technologies for human body fluids. Trends Biotechnol. 2001;19:S55–S60.PubMedCrossRef Schrader M, Schulz-Knappe P. Peptidomics technologies for human body fluids. Trends Biotechnol. 2001;19:S55–S60.PubMedCrossRef
38.
go back to reference Govorun VM, Ivanov VT. Proteomics and peptidomics in fundamental and applied medical studies. Bioorg Khim. 2011;37:199–215.PubMed Govorun VM, Ivanov VT. Proteomics and peptidomics in fundamental and applied medical studies. Bioorg Khim. 2011;37:199–215.PubMed
39.
go back to reference Nanni P, Levander F, Roda G, Caponi A, James P, Roda A. A label-free nano-liquid chromatography-mass spectrometry approach for quantitative serum peptidomics in Crohn’s disease patients. J Chromatogr B Analyt Technol Biomed Life Sci. 2009;877:3127–3136.PubMedCrossRef Nanni P, Levander F, Roda G, Caponi A, James P, Roda A. A label-free nano-liquid chromatography-mass spectrometry approach for quantitative serum peptidomics in Crohn’s disease patients. J Chromatogr B Analyt Technol Biomed Life Sci. 2009;877:3127–3136.PubMedCrossRef
40.
go back to reference Ray S, Reddy PJ, Jain R, Gollapalli K, Moiyadi A, Srivastava S. Proteomic technologies for the identification of disease biomarkers in serum: advances and challenges ahead. Proteomics. 2011;11:2139–2161.PubMedCrossRef Ray S, Reddy PJ, Jain R, Gollapalli K, Moiyadi A, Srivastava S. Proteomic technologies for the identification of disease biomarkers in serum: advances and challenges ahead. Proteomics. 2011;11:2139–2161.PubMedCrossRef
41.
go back to reference Dotan I. New serologic markers for inflammatory bowel disease diagnosis. Dig Dis. 2010;28:418–423.PubMedCrossRef Dotan I. New serologic markers for inflammatory bowel disease diagnosis. Dig Dis. 2010;28:418–423.PubMedCrossRef
43.
44.
go back to reference Haleem JI, Zhen X, Timothy DV. Serum and plasma proteomics. Chem Rev. 2007;107:3601–3620.CrossRef Haleem JI, Zhen X, Timothy DV. Serum and plasma proteomics. Chem Rev. 2007;107:3601–3620.CrossRef
45.
go back to reference Ebert MP, Korc M, Malfertheiner P, Rocken C. Advances, challenges, and limitations in serum-proteomebased cancer diagnosis. J Proteome Res. 2006;5:19–25.PubMedCrossRef Ebert MP, Korc M, Malfertheiner P, Rocken C. Advances, challenges, and limitations in serum-proteomebased cancer diagnosis. J Proteome Res. 2006;5:19–25.PubMedCrossRef
46.
47.
go back to reference Peeters M, Joossens S, Vermeire S, Vlietinck R, Bossuyt X, Rutgeerts P. Diagnostic value of anti-Saccharomyces cerevisiae and antineutrophil cytoplasmic autoantibodies in inflammatory bowel disease. Am J Gastroenterol. 2001;96:730–734.PubMedCrossRef Peeters M, Joossens S, Vermeire S, Vlietinck R, Bossuyt X, Rutgeerts P. Diagnostic value of anti-Saccharomyces cerevisiae and antineutrophil cytoplasmic autoantibodies in inflammatory bowel disease. Am J Gastroenterol. 2001;96:730–734.PubMedCrossRef
48.
go back to reference Dubinsky MC, Lin YC, Dutridge D, et al. Western Regional Pediatric IBD Research Alliance. Serum immune responses predict rapid disease progression among children with Crohn’s disease: immune responses predict disease progression. Am J Gastroenterol. 2006;101:360–367.PubMedCentralPubMedCrossRef Dubinsky MC, Lin YC, Dutridge D, et al. Western Regional Pediatric IBD Research Alliance. Serum immune responses predict rapid disease progression among children with Crohn’s disease: immune responses predict disease progression. Am J Gastroenterol. 2006;101:360–367.PubMedCentralPubMedCrossRef
49.
go back to reference Dotan I, Fishman S, Dgani Y, et al. Antibodies against laminaribioside and chitobioside are novel serologic markers in Crohn’s disease. Gastroenterology. 2006;131:366–378.PubMedCrossRef Dotan I, Fishman S, Dgani Y, et al. Antibodies against laminaribioside and chitobioside are novel serologic markers in Crohn’s disease. Gastroenterology. 2006;131:366–378.PubMedCrossRef
50.
go back to reference Ferrante M, Henckaerts L, Joossens M, et al. New serological markers in inflammatory bowel disease are associated with complicated disease behaviour. Gut. 2007;56:1394–1403.PubMedCrossRef Ferrante M, Henckaerts L, Joossens M, et al. New serological markers in inflammatory bowel disease are associated with complicated disease behaviour. Gut. 2007;56:1394–1403.PubMedCrossRef
51.
go back to reference Vandewalle-El Khoury P, Colombel JF, Joossens S, et al. Detection of antisynthetic mannoside antibodies (ASigmaMA) reveals heterogeneity in the ASCA response of Crohn’s disease patients and contributes to differential diagnosis, stratification, and prediction. Am J Gastroenterol. 2008;103:949–957.PubMedCrossRef Vandewalle-El Khoury P, Colombel JF, Joossens S, et al. Detection of antisynthetic mannoside antibodies (ASigmaMA) reveals heterogeneity in the ASCA response of Crohn’s disease patients and contributes to differential diagnosis, stratification, and prediction. Am J Gastroenterol. 2008;103:949–957.PubMedCrossRef
52.
go back to reference Sakiyama T, Fujita H, Tsubouchi H. Autoantibodies against ubiquitination factor E4A (UBE4A) are associated with severity of Crohn’s disease. Inflamm Bowel Dis. 2008;14:310–317.PubMedCrossRef Sakiyama T, Fujita H, Tsubouchi H. Autoantibodies against ubiquitination factor E4A (UBE4A) are associated with severity of Crohn’s disease. Inflamm Bowel Dis. 2008;14:310–317.PubMedCrossRef
53.
go back to reference Vermeire S, Van Assche G, Rutgeerts P. C-reactive protein as a marker for inflammatory bowel disease. Inflamm Bowel Dis. 2004;10:661–665.PubMedCrossRef Vermeire S, Van Assche G, Rutgeerts P. C-reactive protein as a marker for inflammatory bowel disease. Inflamm Bowel Dis. 2004;10:661–665.PubMedCrossRef
54.
go back to reference Solem CA, Loftus EV Jr, Tremaine WJ, Harmsen WS, Zinsmeister AR, Sandborn WJ. Correlation of C-reactive protein with clinical, endoscopic, histologic, and radiographic activity in inflammatory bowel disease. Inflamm Bowel Dis. 2005;11:707–712.PubMedCrossRef Solem CA, Loftus EV Jr, Tremaine WJ, Harmsen WS, Zinsmeister AR, Sandborn WJ. Correlation of C-reactive protein with clinical, endoscopic, histologic, and radiographic activity in inflammatory bowel disease. Inflamm Bowel Dis. 2005;11:707–712.PubMedCrossRef
55.
go back to reference Boirivant M, Leoni M, Tariciotti D, Fais S, Squarcia O, Pallone F. The clinical significance of serum C reactive protein levels in Crohn’s disease. Results of a prospective longitudinal study. J Clin Gastroenterol. 1988;10:401–405.PubMedCrossRef Boirivant M, Leoni M, Tariciotti D, Fais S, Squarcia O, Pallone F. The clinical significance of serum C reactive protein levels in Crohn’s disease. Results of a prospective longitudinal study. J Clin Gastroenterol. 1988;10:401–405.PubMedCrossRef
56.
go back to reference Wright JP, Young GO, Tigler-Wybrandi N. Predictors of acute relapse of Crohn’s disease. A laboratory and clinical study. Dig Dis Sci. 1987;32:164–170.PubMedCrossRef Wright JP, Young GO, Tigler-Wybrandi N. Predictors of acute relapse of Crohn’s disease. A laboratory and clinical study. Dig Dis Sci. 1987;32:164–170.PubMedCrossRef
57.
go back to reference Sachar DB, Smith H, Chan S, Cohen LB, Lichtiger S, Messer J. Erythrocytic sedimentation rate as a measure of clinical activity in inflammatory bowel disease. J Clin Gastroenterol. 1986;8:647–650.PubMedCrossRef Sachar DB, Smith H, Chan S, Cohen LB, Lichtiger S, Messer J. Erythrocytic sedimentation rate as a measure of clinical activity in inflammatory bowel disease. J Clin Gastroenterol. 1986;8:647–650.PubMedCrossRef
58.
go back to reference Sachar DB, Luppescu NE, Bodian C, Shlien RD, Fabry TL, Gumaste VV. Erythrocyte sedimentation as a measure of Crohn’s disease activity: opposite trends in ileitis versus colitis. J Clin Gastroenterol. 1990;12:643–646.PubMedCrossRef Sachar DB, Luppescu NE, Bodian C, Shlien RD, Fabry TL, Gumaste VV. Erythrocyte sedimentation as a measure of Crohn’s disease activity: opposite trends in ileitis versus colitis. J Clin Gastroenterol. 1990;12:643–646.PubMedCrossRef
59.
go back to reference Jensen KB, Jarnum S, Koudahl G, Kristensen M. Serum orosomucoid in ulcerative colitis: its relation to clinical activity, protein loss, and turnover of albumin and IgG. Scand J Gastroenterol. 1976;11:177–183.PubMed Jensen KB, Jarnum S, Koudahl G, Kristensen M. Serum orosomucoid in ulcerative colitis: its relation to clinical activity, protein loss, and turnover of albumin and IgG. Scand J Gastroenterol. 1976;11:177–183.PubMed
60.
go back to reference Andre C, Descos L, Landais P, Fermanian J. Assessment of appropriate laboratory measurements to supplement the Crohn’s disease activity index. Gut. 1981;22:571–574.PubMedCrossRef Andre C, Descos L, Landais P, Fermanian J. Assessment of appropriate laboratory measurements to supplement the Crohn’s disease activity index. Gut. 1981;22:571–574.PubMedCrossRef
61.
go back to reference Lehrke M, Konrad A, Schachinger V, et al. CXCL16 is a surrogate marker of inflammatory bowel disease. Scand J Gastroenterol. 2008;43:283–288.PubMedCrossRef Lehrke M, Konrad A, Schachinger V, et al. CXCL16 is a surrogate marker of inflammatory bowel disease. Scand J Gastroenterol. 2008;43:283–288.PubMedCrossRef
62.
go back to reference Broedl UC, Schachinger V, Lingenhel A, et al. Apolipoprotein A-IV is an independent predictor of disease activity in patients with inflammatory bowel disease. Inflamm Bowel Di. 2007;13:391–397.CrossRef Broedl UC, Schachinger V, Lingenhel A, et al. Apolipoprotein A-IV is an independent predictor of disease activity in patients with inflammatory bowel disease. Inflamm Bowel Di. 2007;13:391–397.CrossRef
63.
go back to reference Konrad A, Lehrke M, Schachinger V, et al. Resistin is an inflammatory marker of inflammatory bowel disease in humans. Eur J Gastroenterol Hepatol. 2007;19:1070–1074.PubMedCrossRef Konrad A, Lehrke M, Schachinger V, et al. Resistin is an inflammatory marker of inflammatory bowel disease in humans. Eur J Gastroenterol Hepatol. 2007;19:1070–1074.PubMedCrossRef
64.
go back to reference Van Assche G, Rutgeerts P. Physiological basis for novel drug therapies used to treat the inflammatory bowel diseases. I. Immunology and therapeutic potential of antiadhesion molecule therapy in inflammatory bowel disease. Am J Physiol Gastrointest Liver Physiol. 2005;288:G169–G174.PubMedCrossRef Van Assche G, Rutgeerts P. Physiological basis for novel drug therapies used to treat the inflammatory bowel diseases. I. Immunology and therapeutic potential of antiadhesion molecule therapy in inflammatory bowel disease. Am J Physiol Gastrointest Liver Physiol. 2005;288:G169–G174.PubMedCrossRef
65.
go back to reference Magro F, Araujo F, Pereira P, Meireles E, Diniz-Ribeiro M, Velosom FT. Soluble selectins, sICAM, sVCAM, and angiogenic proteins in different activity groups of patients with inflammatory bowel disease. Dig Dis Sci. 2004;49:1265–1274.PubMedCrossRef Magro F, Araujo F, Pereira P, Meireles E, Diniz-Ribeiro M, Velosom FT. Soluble selectins, sICAM, sVCAM, and angiogenic proteins in different activity groups of patients with inflammatory bowel disease. Dig Dis Sci. 2004;49:1265–1274.PubMedCrossRef
66.
go back to reference van Dullemen HM, van Deventer SJ, Hommes DW, et al. Treatment of Crohn’s disease with anti-tumor necrosis factor chimeric monoclonal antibody (cA2). Gastroenterology. 1995;109:129–135.PubMedCrossRef van Dullemen HM, van Deventer SJ, Hommes DW, et al. Treatment of Crohn’s disease with anti-tumor necrosis factor chimeric monoclonal antibody (cA2). Gastroenterology. 1995;109:129–135.PubMedCrossRef
67.
go back to reference Stronkhorst A, Jansen J, Tytgat G, van Deventer SJH. Soluble IL-2 and TNF receptors p55 and p75 in Crohn’s disease. Gastroenterology. 1994;106:A779. Stronkhorst A, Jansen J, Tytgat G, van Deventer SJH. Soluble IL-2 and TNF receptors p55 and p75 in Crohn’s disease. Gastroenterology. 1994;106:A779.
68.
go back to reference Propst A, Propst T, Herold M, Vogel W, Judmaier G. Interleukin-1 receptor antagonist in differential diagnosis of inflammatory bowel diseases. Eur J Gastroenterol Hepatol. 1995;7:1031–1036.PubMedCrossRef Propst A, Propst T, Herold M, Vogel W, Judmaier G. Interleukin-1 receptor antagonist in differential diagnosis of inflammatory bowel diseases. Eur J Gastroenterol Hepatol. 1995;7:1031–1036.PubMedCrossRef
69.
go back to reference Casini-Raggi V, Kam L, Chong YJ, Fiocchi C, Pizarro TT, Cominelli F. Mucosal imbalance of IL-1 and IL-1 receptor antagonist in inflammatory bowel disease. A novel mechanism of chronic intestinal inflammation. J Immunol. 1995;154:2434–2440.PubMed Casini-Raggi V, Kam L, Chong YJ, Fiocchi C, Pizarro TT, Cominelli F. Mucosal imbalance of IL-1 and IL-1 receptor antagonist in inflammatory bowel disease. A novel mechanism of chronic intestinal inflammation. J Immunol. 1995;154:2434–2440.PubMed
70.
go back to reference Crabtree JE, Juby LD, Heatley RV, Lobo AJ, Bullimore DW, Axon AT. Soluble interleukin-2 receptor in Crohn’s disease: relation of serum concentrations to disease activity. Gut. 1990;31:1033–1036.PubMedCrossRef Crabtree JE, Juby LD, Heatley RV, Lobo AJ, Bullimore DW, Axon AT. Soluble interleukin-2 receptor in Crohn’s disease: relation of serum concentrations to disease activity. Gut. 1990;31:1033–1036.PubMedCrossRef
72.
go back to reference Gustot T, Lemmers A, Louis E, et al. Profile of soluble cytokine receptors in Crohn’s disease. Gut. 2005;54:488–495.PubMedCrossRef Gustot T, Lemmers A, Louis E, et al. Profile of soluble cytokine receptors in Crohn’s disease. Gut. 2005;54:488–495.PubMedCrossRef
73.
go back to reference Jones SC, Evans SW, Lobo AJ, Ceska M, Axon AT, Whicher JT. Serum interleukin-8 in inflammatory bowel disease. J Gastroenterol Hepatol. 1993;8:508–512.PubMedCrossRef Jones SC, Evans SW, Lobo AJ, Ceska M, Axon AT, Whicher JT. Serum interleukin-8 in inflammatory bowel disease. J Gastroenterol Hepatol. 1993;8:508–512.PubMedCrossRef
74.
go back to reference Kucharzik T, Stoll R, Lügering N, Domschke W. Circulating antiinflammatory cytokine IL-10 in patients with inflammatory bowel disease (IBD). Clin Exp Immunol. 1995;100:452–456.PubMedCentralPubMedCrossRef Kucharzik T, Stoll R, Lügering N, Domschke W. Circulating antiinflammatory cytokine IL-10 in patients with inflammatory bowel disease (IBD). Clin Exp Immunol. 1995;100:452–456.PubMedCentralPubMedCrossRef
75.
go back to reference Tibble JA, Bjarnason I. Non-invasive investigation of inflammatory bowel disease. World J Gastroenterol. 2001;7:460–465.PubMed Tibble JA, Bjarnason I. Non-invasive investigation of inflammatory bowel disease. World J Gastroenterol. 2001;7:460–465.PubMed
76.
go back to reference Angriman I, Scarpa M, D’Incà R, et al. Enzymes in feces: useful markers of chronic inflammatory bowel disease. Clin Chim Acta. 2007;381:63–68.PubMedCrossRef Angriman I, Scarpa M, D’Incà R, et al. Enzymes in feces: useful markers of chronic inflammatory bowel disease. Clin Chim Acta. 2007;381:63–68.PubMedCrossRef
77.
go back to reference Poullis A, Foster R, Northfield TC, Mendal MA. Review article: faecal markers in the assessment of activity in inflammatory bowel disease. Aliment Pharmacol Ther. 2002;16:675–681.PubMedCrossRef Poullis A, Foster R, Northfield TC, Mendal MA. Review article: faecal markers in the assessment of activity in inflammatory bowel disease. Aliment Pharmacol Ther. 2002;16:675–681.PubMedCrossRef
78.
go back to reference Saverymuttu SH, Peters AM, Crofton ME, et al. 111Indium autologous granulocytes in the detection of inflammatory bowel disease. Gut. 1985;26:955–960.PubMedCrossRef Saverymuttu SH, Peters AM, Crofton ME, et al. 111Indium autologous granulocytes in the detection of inflammatory bowel disease. Gut. 1985;26:955–960.PubMedCrossRef
79.
go back to reference Fagerhol MK, Dale I, Anderson I. Release and quantification of leukocyte derived protein (L1). Scand J Haematol. 1980;24:393–398.CrossRef Fagerhol MK, Dale I, Anderson I. Release and quantification of leukocyte derived protein (L1). Scand J Haematol. 1980;24:393–398.CrossRef
80.
go back to reference Taehon K, Roseth AG, Foster R, Bjarnason I. Fecal calprotectin: a simple sensitive quantitative measure of intestinal inflammation in man. Gastroenterology. 1997;112:A1103.CrossRef Taehon K, Roseth AG, Foster R, Bjarnason I. Fecal calprotectin: a simple sensitive quantitative measure of intestinal inflammation in man. Gastroenterology. 1997;112:A1103.CrossRef
81.
go back to reference Tibble JA, Sigthorsson G, Bridger S, Fagerhol MK, Bjarnason I. Surrogate markers of intestinal inflammation are predictive of relapse in patients with inflammatory bowel disease. Gastroenterolgy. 2000;119:15–22.CrossRef Tibble JA, Sigthorsson G, Bridger S, Fagerhol MK, Bjarnason I. Surrogate markers of intestinal inflammation are predictive of relapse in patients with inflammatory bowel disease. Gastroenterolgy. 2000;119:15–22.CrossRef
82.
go back to reference Costa F, Mumolo MG, Ceccarelli L, et al. Calprotectin is a stronger predictive marker of relapse in ulcerative colitis than in Crohn’s disease. Gut. 2005;54:364–368.PubMedCrossRef Costa F, Mumolo MG, Ceccarelli L, et al. Calprotectin is a stronger predictive marker of relapse in ulcerative colitis than in Crohn’s disease. Gut. 2005;54:364–368.PubMedCrossRef
83.
go back to reference Gisbert JP, Bermejo F, Pérez-Calle JL, et al. Fecal calprotectin and lactoferrin for the prediction of inflammatory bowel disease relapse. Inflamm Bowel Dis. 2009;15:1190–1198.PubMedCrossRef Gisbert JP, Bermejo F, Pérez-Calle JL, et al. Fecal calprotectin and lactoferrin for the prediction of inflammatory bowel disease relapse. Inflamm Bowel Dis. 2009;15:1190–1198.PubMedCrossRef
84.
go back to reference Walker TR, Land ML, Kartashov A, et al. Fecal lactoferrin is a sensitive and specific marker of disease activity in children and young adults with inflammatory bowel disease. J Pediatr Gastroenterol Nutr. 2007;44:414–422.PubMedCrossRef Walker TR, Land ML, Kartashov A, et al. Fecal lactoferrin is a sensitive and specific marker of disease activity in children and young adults with inflammatory bowel disease. J Pediatr Gastroenterol Nutr. 2007;44:414–422.PubMedCrossRef
85.
go back to reference Foell D, Kucharzik T, Kraft M, et al. Neutrophil derived human S100A12 (EN-RAGE) is strongly expressed during chronic active inflammatory bowel disease. Gut. 2003;52:847–853.PubMedCrossRef Foell D, Kucharzik T, Kraft M, et al. Neutrophil derived human S100A12 (EN-RAGE) is strongly expressed during chronic active inflammatory bowel disease. Gut. 2003;52:847–853.PubMedCrossRef
86.
go back to reference Hugot J-P, Chamaiilard M, Zouali H, et al. Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn’s disease. Nature. 2001;411:599–603.PubMedCrossRef Hugot J-P, Chamaiilard M, Zouali H, et al. Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn’s disease. Nature. 2001;411:599–603.PubMedCrossRef
87.
go back to reference Ogura Y, Bonen DK, Inohara N, et al. A frameshift mutation in Nod2 associated with susceptibility to Crohn’s disease. Nature. 2001;411:603–606.PubMedCrossRef Ogura Y, Bonen DK, Inohara N, et al. A frameshift mutation in Nod2 associated with susceptibility to Crohn’s disease. Nature. 2001;411:603–606.PubMedCrossRef
88.
go back to reference Franke A, McGovern DP, Barrett JC, et al. Genome-wide meta-analysis increases to 71 the number of confirmed Crohn’s disease susceptibility loci. Nature Genet. 2010;42:1118–1125.PubMedCentralPubMedCrossRef Franke A, McGovern DP, Barrett JC, et al. Genome-wide meta-analysis increases to 71 the number of confirmed Crohn’s disease susceptibility loci. Nature Genet. 2010;42:1118–1125.PubMedCentralPubMedCrossRef
89.
go back to reference Anderson CA, Boucher G, Lees CW, et al. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47. Nature Genet. 2011;43:246–252.PubMedCentralPubMedCrossRef Anderson CA, Boucher G, Lees CW, et al. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47. Nature Genet. 2011;43:246–252.PubMedCentralPubMedCrossRef
90.
go back to reference Mascheretti S, Hampe J, Croucher PJ, et al. Response to infliximab treatment in Crohn’s disease is not associated with mutations in the CARD15 (NOD2) gene: an analysis in 534 patients from two multicenter, prospective GCP-level trials. Pharmacogenetics. 2002;12:509–515.PubMedCrossRef Mascheretti S, Hampe J, Croucher PJ, et al. Response to infliximab treatment in Crohn’s disease is not associated with mutations in the CARD15 (NOD2) gene: an analysis in 534 patients from two multicenter, prospective GCP-level trials. Pharmacogenetics. 2002;12:509–515.PubMedCrossRef
91.
go back to reference Mascheretti S, Schreiber S. Genetic testing in Crohn disease: utility in individualizing patient management. Am J Pharmacogenomics. 2005;5:213–222.PubMedCrossRef Mascheretti S, Schreiber S. Genetic testing in Crohn disease: utility in individualizing patient management. Am J Pharmacogenomics. 2005;5:213–222.PubMedCrossRef
92.
go back to reference Beaven SW, Abreu MT. Biomarkers in inflammatory bowel disease. Curr Opin Gastroenterol. 2004;20:318–327.PubMedCrossRef Beaven SW, Abreu MT. Biomarkers in inflammatory bowel disease. Curr Opin Gastroenterol. 2004;20:318–327.PubMedCrossRef
93.
go back to reference Hanauer SB, Feagan BG, Lichtenstein GR, et al. Maintenance infliximab for Crohn’s disease: the ACCENT I randomised trial. Lancet. 2002;359:1541–1549.PubMedCrossRef Hanauer SB, Feagan BG, Lichtenstein GR, et al. Maintenance infliximab for Crohn’s disease: the ACCENT I randomised trial. Lancet. 2002;359:1541–1549.PubMedCrossRef
94.
go back to reference Summerton CB, Longlands MG, Wiener K, Shreeve DR. Faecal calprotectin: a marker of inflammation throughout the intestinal tract. Eur J Gastroenterol Hepatol. 2002;14:841–845.PubMedCrossRef Summerton CB, Longlands MG, Wiener K, Shreeve DR. Faecal calprotectin: a marker of inflammation throughout the intestinal tract. Eur J Gastroenterol Hepatol. 2002;14:841–845.PubMedCrossRef
Metadata
Title
Current Advantages in the Application of Proteomics in Inflammatory Bowel Disease
Authors
Anna Vaiopoulou
Maria Gazouli
George Theodoropoulos
George Zografos
Publication date
01-11-2012
Publisher
Springer US
Published in
Digestive Diseases and Sciences / Issue 11/2012
Print ISSN: 0163-2116
Electronic ISSN: 1573-2568
DOI
https://doi.org/10.1007/s10620-012-2291-4

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