Copyright
©The Author(s) 2023.
World J Gastroenterol. Mar 14, 2023; 29(10): 1539-1550
Published online Mar 14, 2023. doi: 10.3748/wjg.v29.i10.1539
Published online Mar 14, 2023. doi: 10.3748/wjg.v29.i10.1539
Biomarker class | Biomarker | Clinical utility |
Prognostic biomarkers | Anti-ompC, ASCA, ANCA, anti-CBir1, flagellin | Prediction of more severe CD phenotype- particularly stricturing and need for surgery |
CD 8+ T cell clonal signature | Prediction of more severe disease course and relapse in CD and UC | |
Surveillance of disease activity | Fecal calprotectin | Predictor of endoscopic disease activity as well as histologic inflammation, and relapse in asymptomatic patients with IBD |
MMP-9 | Associated with disease activity in UC | |
IL-22 | Associated with disease activity in CD | |
Pharmacogenomics and prediction of safety | TPMT | Risk of thiopurine adverse reaction |
NUDT15 | Risk of thiopurine adverse reaction, more common in East Asian/Asian populations | |
Thiopurine metabolites (6TG, 6MMP) | Levels associated with adverse drug reaction: myelosuppression, hepatotoxicity. 6TG range also associated with therapy response | |
Prediction of response to therapy | Oncostatin M | Higher levels predictor of non-response to anti-TNF |
TREM-1 | Low levels predictor of non-response to anti-TNF | |
HLA-DQA1*05 | Expression associated with risk of antibody formation to anti-TNF | |
IL-22 | Higher level associated with response to anti-IL23p19 (brazikumab) |
- Citation: Cheah E, Huang JG. Precision medicine in inflammatory bowel disease: Individualizing the use of biologics and small molecule therapies. World J Gastroenterol 2023; 29(10): 1539-1550
- URL: https://www.wjgnet.com/1007-9327/full/v29/i10/1539.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i10.1539