Biomarkers That Predict Crohn's Disease Outcomes.
Pablo Andres OliveraMark S SilverbergPublished in: Journal of the Canadian Association of Gastroenterology (2023)
Crohn's disease (CD), a chronic inflammatory condition of the digestive tract, poses significant challenges in terms of disease prognosis and treatment selection. Biomarkers have the potential to predict CD outcomes and guide clinical decision-making. This review aims to summarize the current literature on promising biomarkers associated with CD outcomes and their potential clinical implications. The identification of reliable biomarkers for CD outcomes is of paramount importance in tailoring treatment strategies, monitoring disease activity, and predicting the risk of complications. Clinical prognostic factors traditionally used to assess disease severity, and the likelihood of complications have limitations in accuracy and predictive value. Thus, there is a need for more precise biomarkers, particularly in newly diagnosed and treatment-naive patients. Pharmacogenomic markers, such as TPMT and NUDT15 polymorphisms, have been utilized to identify patients at risk of adverse events with thiopurine therapy. Several biomarkers, including HLA haplotypes, oncostatin M expression, and transcriptomic profiles, have shown associations with response to anti-TNF therapy. Confocal laser endomicroscopy and single-cell analyses hold promise in predicting treatment response to specific therapies. The identification of biomarkers associated with post-operative recurrence in CD is crucial, as it could lead to changes in management algorithms. Several promising microbiome signatures and proteomic profiles have been identified. In conclusion, biomarkers have the potential to revolutionize the management of CD by providing valuable prognostic information and guiding treatment decisions. However, further research and validation are necessary to establish their clinical utility and integration into routine practice.
Keyphrases
- newly diagnosed
- prognostic factors
- rheumatoid arthritis
- disease activity
- single cell
- end stage renal disease
- systematic review
- systemic lupus erythematosus
- healthcare
- primary care
- nk cells
- stem cells
- ejection fraction
- decision making
- poor prognosis
- metabolic syndrome
- chronic kidney disease
- adipose tissue
- type diabetes
- peritoneal dialysis
- gene expression
- hiv infected
- skeletal muscle
- mesenchymal stem cells
- high throughput
- dna methylation
- clinical practice
- patient reported outcomes
- climate change
- genome wide
- binding protein
- mass spectrometry
- label free