ArticleBMC bioinformatics2011
Fusion of metabolomics and proteomics data for biomarkers discovery: case study on the experimental autoimmune encephalomyelitis.
Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 82 citations in OpenAlex.
- Trial
- Integrated Metabolomics and Proteomics to Decipher Simiao Pill Improving Lipid Homeostasis through PTGES3-mediated Arachidonic Acid Metabolism in AIA Model.Current pharmaceutical design · 2025Article
- Cerebrospinal Fluid Metabolomics and Proteomics Integration in Neurological Syndromes.Methods in molecular biology (Clifton, N.J.) · 2025Review
- A Review on Data Fusion of Multidimensional Medical and Biomedical Data.Molecules (Basel, Switzerland) · 2022Review
- Metabolomics detects clinically silent neuroinflammatory lesions earlier than neurofilament-light chain in a focal multiple sclerosis animal model.Journal of neuroinflammation · 2022Article
- Integrative analysis of plasma metabolomics and proteomics reveals the metabolic landscape of breast cancer.Cancer & metabolism · 2022Article
- Metabolomics as a promising tool for improving understanding of multiple sclerosis: A review of recent advances.Biomedical journal · 2022Review
- Metabolomics in Autoimmune Diseases: Focus on Rheumatoid Arthritis, Systemic Lupus Erythematous, and Multiple Sclerosis.Metabolites · 2021Review
- An emerging potential of metabolomics in multiple sclerosis: a comprehensive overview.Cellular and molecular life sciences : CMLS · 2021Review
- Predicting changes in renal metabolism after compound exposure with a genome-scale metabolic model.Toxicology and applied pharmacology · 2021Article
- Objective biomarkers for clinical relapse in multiple sclerosis: a metabolomics approach.Brain communications · 2021Article
- Cerebrospinal fluid metabolomics: detection of neuroinflammation in human central nervous system disease.Clinical & translational immunology · 2021Review
- Integrated lipidomics and proteomics network analysis highlights lipid and immunity pathways associated with Alzheimer's disease.Translational neurodegeneration · 2020Article
- Elucidation of the complex metabolic profile of cerebrospinal fluid using an untargeted biochemical profiling assay.Molecular genetics and metabolism · 2017Article
- Article
- Mass Spectrometry-Based Metabolomic and Proteomic Strategies in Organic Acidemias.BioMed research international · 2016Review
- Lipid characterization of individual porcine oocytes by dual mode DESI-MS and data fusion.Analytica chimica acta · 2014Article
- MicroRNA-205 targets tight junction-related proteins during urothelial cellular differentiation.Molecular & cellular proteomics : MCP · 2014Article
- Discovery of novel disease-specific and membrane-associated candidate markers in a mouse model of multiple sclerosis.Molecular & cellular proteomics : MCP · 2014Article
- Integrative analysis of longitudinal metabolomics data from a personal multi-omics profile.Metabolites · 2013Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnalysis of Cerebrospinal Fluid (CSF) samples holds great promise to diagnose neurological pathologies and gain insight into the molecular background of these pathologies. Proteomics and metabolomics methods provide invaluable information on the biomolecular content of CSF and thereby on the possible status of the central nervous system, including neurological pathologies. The combined information provides a more complete description of CSF content. Extracting the full combined information requires a combined analysis of different datasets i.e. fusion of the data.
resultsA novel fusion method is presented and applied to proteomics and metabolomics data from a pre-clinical model of multiple sclerosis: an Experimental Autoimmune Encephalomyelitis (EAE) model in rats. The method follows a mid-level fusion architecture. The relevant information is extracted per platform using extended canonical variates analysis. The results are subsequently merged in order to be analyzed jointly. We find that the combined proteome and metabolome data allow for the efficient and reliable discrimination between healthy, peripherally inflamed rats, and rats at the onset of the EAE. The predicted accuracy reaches 89% on a test set. The important variables (metabolites and proteins) in this model are known to be linked to EAE and/or multiple sclerosis.
conclusionsFusion of proteomics and metabolomics data is possible. The main issues of high-dimensionality and missing values are overcome. The outcome leads to higher accuracy in prediction and more exhaustive description of the disease profile. The biological interpretation of the involved variables validates our fusion approach.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.