Summary
The focus of my research is metabolomics data processing and analysis. With that objective I test, develop and apply chemometrics and machine learning methods, mostly programming in Matlab. Currently I am working on the large Combibio and Airwave LC-MS datasets, in order to achieve the best data quality possible, and analyzing it for multiple projects, including cardiovascular disease, ageing and dementia.
I have been developing a method to match metabolomic features in multiple peak-picked untargeted LC-MS datasets. That will allow us to concatenate similarly acquired datasets in order to increase power, or to use a dataset as discovery and another as validation.
Publications
Journals
Djekic D, Pinto R, Repsilber D, et al., 2019, Serum untargeted lipidomic profiling reveals dysfunction of phospholipid metabolism in subclinical coronary artery disease., Vasc Health Risk Manag, Vol:15, Pages:123-135
Pênčík A, Casanova-Sáez R, Pilařová V, et al., 2018, Ultra-rapid auxin metabolite profiling for high-throughput mutant screening in Arabidopsis, Journal of Experimental Botany, Vol:69, ISSN:0022-0957, Pages:2569-2579
Lomnytska M, Pinto R, Becker S, et al., 2018, Platelet protein biomarker panel for ovarian cancer diagnosis, Biomarker Research, Vol:6, ISSN:2050-7771
Rådjursöga M, Karlsson GB, Lindqvist HM, et al., 2017, Metabolic profiles from two different breakfast meals characterized by 1H NMR-based metabolomics., Food Chem, Vol:231, Pages:267-274
Magdalinou NK, Noyce AJ, Pinto R, et al., 2017, Identification of candidate cerebrospinal fluid biomarkers in parkinsonism using quantitative proteomics., Parkinsonism Relat Disord, Vol:37, Pages:65-71