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
Ostman JR, Pinto RC, Ebbels TMD, et al., 2022, Identification of prediagnostic metabolites associated with prostate cancer risk by untargeted mass spectrometry-based metabolomics: a case-control study nested in the Northern Sweden Health and Disease Study, International Journal of Cancer, Vol:151, ISSN:0020-7136, Pages:2115-2127
Climaco Pinto R, Karaman I, Lewis MR, et al., 2022, Finding correspondence between metabolomic features in untargeted liquid chromatography-mass spectrometry metabolomics datasets., Analytical Chemistry, Vol:94, ISSN:0003-2700, Pages:5493-5503
Pazoki R, Elliott J, Evangelou E, et al., 2021, Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes, Nature Communications, Vol:12, ISSN:2041-1723
Wu C-T, Wang Y, Wang Y, et al., 2020, Targeted realignment of LC-MS profiles by neighbor-wise compound-specific graphical time warping with misalignment detection, Bioinformatics, Vol:36, ISSN:1367-4803, Pages:2862-2871
Pazoki R, Evangelou E, Mosen-Ansorena D, et al., 2019, GWAS for urinary sodium and potassium excretion highlights pathways shared with cardiovascular traits, Nature Communications, Vol:10, ISSN:2041-1723