Copyright
©The Author(s) 2016.
World J Gastrointest Pathophysiol. Feb 15, 2016; 7(1): 27-37
Published online Feb 15, 2016. doi: 10.4291/wjgp.v7.i1.27
Published online Feb 15, 2016. doi: 10.4291/wjgp.v7.i1.27
Table 1 Current biomarkers and their utility in inflammatory bowel disease management[12]
| Application | Biomarker | Utility |
| Diagnosis of IBD | Fecal calprotectin[69] | Sensitivity: 89%-98%, specificity: 81%-91% |
| Fecal lactoferrin[70] | Sensitivity: 80%, specificity: 82% | |
| Fecal 100A12[71] (differentiating from IBS) | Sensitivity: 86%, specificity: 96% | |
| CRP[72-74] | Sensitivity: Approximately equal 100% in CD, approximately equal 50% in UC poor specificity | |
| Distinguishing UC and CD | ASCA[75] | Sensitivity: 40%-50%, specificity: > 90% in CD |
| pANCA[75] | Sensitivity: 57%, specificity: 92% | |
| Escherichia coli antibodies (Anti-OmpC, Anti-I2, Anti-CBir1)[76] | Sensitivity: 18%-55%, specificity: 76%-93%[76] | |
| Marker of disease activity | Fecal lactoferrin[77,78] | Sensitivity: 66%-80% |
| Specificity: 60%-100% | ||
| Fecal calprotectin[77,78] | Sensitivity: 70%-100% | |
| Specificity: 44%-100% | ||
| CRP[78] | Sensitivity: 48% | |
| Specificity: 91% | ||
| Assessing mucosal healing | Fecal calprotectin | Several studies demonstrate significant reduction in biomarker in the presence of mucosal healing with treatment |
| Predicting disease course | Fecal lactoferrin[77] | May be associated with complications including; structuring or fistulising disease, and small bowel disease pANCA may predict aggressive UC and pouchitis following surgery[79] |
| ASCA | ||
| pANCA Anti-I2, Anti-OmpC[12] | ||
| Predicting Relapse within 12 mo | Fecal calprotectin[80,81] | Sensitivity: 69%-90% |
| Specificity: 69%-82% | ||
| Positive predictive value: 81%/87% (UC/CD) | ||
| Negative predictive value: 90%/43% (UC/CD) | ||
| Fecal lactoferrin[81] | Sensitivity: 62% | |
| Specificity: 65% | ||
| Predicting therapeutic response | pANCA[82] | Conflicting reports, possible lower response rate to infliximab in patients with a positive serology |
| Anti-I2[83] | 94% responded to fecal diversion |
Table 2 Proteomic studies for discovering diagnostic inflammatory bowel disease biomarkers
| Ref. | Bio-sample | Sample size | Proteomic technique | Results |
| Meuwis et al[22] | Serum | CD: 30 | SELDI-TOF | 4 candidate proteins selected for high diagnostic value; PF4, MRP8, FIBA, Hpα 2. PF4 and Hpα 2 were also confirmed and correlated using ELISA and immunoblotting |
| UC: 30 | ||||
| Inflammatory control: 30 | ||||
| Healthy controls: 30 | ||||
| Kanmura et al[23] | Blood | CD: 22 | SELDI-TOF | Plasma concentrations of HNP1, 2 and 3 were significantly higher in active UC compared to inactive UC, CD and control patients |
| UC: 48 | ||||
| Colorectal Cancer: 5 | ||||
| Infectious colitis: 6 | ||||
| Healthy controls: 13 | ||||
| Hatsugai et al[24] | Blood | CD: 13 | 2-DE | Multivariate analysis of peripheral blood mononuclear cells protein profile 58 protein) allowed for accurate discrimination between UC and CD |
| UC: 17 | MALDI-TOF | |||
| Healthy controls: 17 | ||||
| Nanni et al[25] | Blood | Healthy controls: 48 | Liquid chromatography quadrupole-TOF | Exopeptidase activity may distinguish CD from UC. Label free method developed could accurately distinguish synthetic spiked samples of serum |
| CD: 15 | SELDI-TOF | |||
| Sumramanian et al[26] | Serum | CD: 48 | Protein signature of 12 mass: Charge peaks could classify CD with approximately equal 95% sensitivity/specificity | |
| UC: 62 | 4 proteins identified as clinically useful | |||
| Nanni et al[27] | Serum | Healthy controls: 48 | Solid-phase extraction MALDI-TOF | 20 protein signals could be used to accurately classify IBD patients |
| CD: 15 | ||||
| UC: 26 | ||||
| Vaiopoulou et al[28] | Serum | CD: 24 (12 adults, 12 children) | 2-DE | Clusterin was found to be overexpressed in adult CD. Ceruloplasmin and apolipoprotein B-100 was over-expressed in children |
| MALDI-TOF | ||||
| Han et al[34] | Intestinal biopsy | CD: 3 | Liquid chromatography quadrupole-TOF | Increased in UC: TTBK2, SYNE2, SUCLG2, POSTN |
| UC: 4 | Up-regulated in CD: ANXA2, EPX, LAP3, RDX | |||
| Inflammatory polyps: 2 | Up-regulated in IBD: S100A8, MPO, DEFA1B | |||
| Up-regulated in CD (P < 0.05 AND > 2x increase): PRG2, LCP1, PSME1 | ||||
| Normal colon: 3 | ||||
| M’koma et al[35] | Colon samples | CD: 27 | Histology directed MALDI-TOF | 5 m:z peaks were identified and cross-validated for the differentiation of UC and CD |
| UC: 24 | ||||
| Seeley et al[36] | Colon samples | CD: 26 | Histology directed MALDI-TOF | Using a support vector machine and 25 m:z peaks, UC and CD cases were predicted in 93.3% and 60.4% respectively. A lower spectral accuracy cut-off increased sensitivity |
| UC: 36 | ||||
| Wasinger et al[39] | Serum | UC: 27 | MRM | SPP24 differentiated IBD patients from healthy controls |
| CD: 56 | α-1-microglobulin distinguished patients with UC in remission from healthy controls | |||
| Controls: 14 | ||||
| RA controls: 12 |
Table 3 Proteomic studies for discovering inflammatory bowel disease management biomarkers
| Ref. | Bio-sample | Sample size | Proteomic technique | Results |
| Disease activity biomarkers | ||||
| Han et al[34] | Intestinal tissue | CD: 3 | LC-QTOF | 16 proteins distinguishing active/inactive CD |
| UC: 4 | 4 proteins distinguishing active/inactive UC | |||
| Inflammatory Polyps: 2 | ||||
| Normal colon: 3 | ||||
| Wasinger et al[39] | Serum | UC: 27 | MRM | SPP24 was able to differentiate active and quiescent disease in both UC and CD |
| CD: 56 | ||||
| Controls: 14 | ||||
| RA controls: 12 | ||||
| Prognostic biomarkers | ||||
| May et al[57] | Intestinal epithelial cells | Non-dysplastic tissue from non-progressors: 5 | High-performance liquid chromatography quadrupole -TOF | 155 candidate proteins were expressed differentially by > 2x between dysplastic/cancerous and non-dysplastic UC tissue. They were identified as mitochondrial, cytoskeletal, apoptotic and RAS superfamily proteins |
| Non-dysplastic tissue from progressors: 5 | ||||
| Highly dysplastic tissue from UC progressors: 5 | ||||
| Response to therapy biomarkers | ||||
| Meuwis et al[37] | Serum | Infliximab responders: 40 | SELDI-TOF | 3 proteins (PF4, sCD40L and IL-6) were identified infliximab non-responders, although PF4 and sCD40L could not be confirmed or correlated with ELISA |
| Infliximab non-responders: 40 | ||||
| Kanmura et al[23] | Blood samples | CD: 22 | SELDI-TOF | Plasma concentration of HNP1, 2 and 3 decreased following successful corticosteroid therapy compared to non-responders |
| UC: 48 | ||||
| Colorectal cancer: 5 | ||||
| Infectious colitis: 6 | ||||
| Healthy controls: 13 | ||||
| Gazouli et al[38] | Serum | Infliximab responders: 6 | 2-DE, MALDI-TOF | 7 proteins were increased in CD patients who did not achieve remission on infliximab. 4 were increased in patients who achieved remission. 3 proteins were lower in remission patients |
| Infliximab non-responders: 6 | ||||
| Infliximab partial responders: 6 | ||||
- Citation: Chan PP, Wasinger VC, Leong RW. Current application of proteomics in biomarker discovery for inflammatory bowel disease. World J Gastrointest Pathophysiol 2016; 7(1): 27-37
- URL: https://www.wjgnet.com/2150-5330/full/v7/i1/27.htm
- DOI: https://dx.doi.org/10.4291/wjgp.v7.i1.27
