Potentials and Pitfalls of Clinical Peptidomics and Metabolomics
News Jul 08, 2013
Clinical peptidomics and metabolomics are two emerging "-omics" technologies with the potential not only to detect disease-specific markers, but also to give insight into the disease dependency of degradation processes and metabolic pathway alterations. However, despite their rapid evolution and major investments, a clinical breakthrough, such as the approval of a major cancer biomarker, is still out of sight. What are the reasons for this failure? In this review we focus on three important factors: sensitivity, specificity and the avoidance of bias. The way to clinical implementation of peptidomics and metabolomics is still hampered by many of the problems that had to be solved for genomics and proteomics in the past, as well as new ones that require the creation of new analytic, computational and interpretative techniques. The greatest challenge, however, will be the integration of information from different "-omics" subdisciplines into straightforward answers to clinical questions, for example, in the form of new, superior "meta-markers".
The article is published online in Swiss Medical Weekly and is free to access.
Algorithm Unearths Over 1000 Antibiotic Proteins in a Few HoursNews
The algorithm identified 10 times more peptide variations than all previous discoveries combined, aiding the hunt for new antibiotics.READ MORE
Protein That Helps Keep Breast Cancer Dormant IdentifiedNews
A protein kinase that stops breast cancer cells growing and spreading has been outlined in new research.READ MORE
Barrier to Liquid Biopsies Overcome with Blood Stabilization TechniqueNews
A new technique that prolongs the lifespan of blood samples could be a breakthrough for liquid biopsy assays.READ MORE