Integration of metabolomics and proteomics in multiple sclerosis: From biomarkers discovery to personalized medicine
| Autor: | Damiana Pieragostino, Claudia Rossi, Piero Del Boccio, Maria di Ioia, Ilaria Cicalini, Paolo Sacchetta |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Proteomics
0301 basic medicine Multiple Sclerosis Clinical Biochemistry Disease Biology Bioinformatics Mice 03 medical and health sciences 0302 clinical medicine Metabolomics Glial Fibrillary Acidic Protein Protein Interaction Mapping medicine Metabolome Animals Humans Molecular Targeted Therapy Precision Medicine business.industry Interleukins Multiple sclerosis Precision medicine medicine.disease Omics Matrix Metalloproteinases Disease Models Animal 030104 developmental biology Gene Expression Regulation Personalized medicine business Biomarkers Myelin Proteins 030217 neurology & neurosurgery |
| Zdroj: | PROTEOMICS - Clinical Applications. 10:470-484 |
| ISSN: | 1862-8346 |
| Popis: | Personalized medicine is the science of individualized prevention and therapy. In the last decade, advances in high-throughput approaches allowed the development of proteomic and metabolomic studies in evaluating the association of genetic and phenotypic variability with disease sensitivity and analgesic response. These considerations have more value in case of multiple sclerosis (MuS), a multifactorial disease with high heterogeneity in clinical course and treatment response. In this review, we reported and updated about proteomic and metabolomic studies for the research of new candidate biomarkers in MuS, and difficulties in their clinical applications. We focused especially on the description of both "omics" approaches that, once integrated, may synergically describe pathophysiology conditions. To prove this assumption, we rebuilt interaction between proteins and metabolites described in the literature as potential biomarkers for MuS, and a pathway analysis of these molecules was performed. The result of such speculation demonstrated a strong convergence of proteomic and metabolomic results in this field, showing also a poorness of available tools for incorporating "omics" approaches. In conclusion, the integration of Metabolomics and Proteomics may allow a more complete characterization of such a heterogeneous disease, providing further insights into personalized healthcare. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Plný text