Computational metabolomics to uncover alterations in diabetes mellitus and its complications
Maria Barranco Altirriba
PhD researcher at B2SLab, UPC. Research in computational metabolomics — including the mWISE annotation algorithm — and its application to understanding diabetes mellitus and cardiovascular complications.
Keywords
metabolomics, metabolite annotation, diabetes, lipidomics, bioinformatics, UPC, mWISE
Welcome to my site! My name is Maria Barranco Altirriba and I hold a bachelor’s and a master’s degree in Biomedical Engineering in Universitat de Barcelona. I am currently doing (almost finishing!) a PhD in the B2SLab, which is part of the Institut de Recerca i Innovació en Salut (IRIS), formerly the Research Center for Biomedical Engineering (CREB) at the Universitat Politècnica de Catalunya, in Barcelona.
My research focuses on metabolomics, including the development of new methods to analyse and interpret metabolomics data, such as the mWISE annotation algorithm. I also apply these tools to better understand diabetes mellitus and its complications. In a recent publication, we identified lipids significantly associated with subclinical carotid atherosclerosis in individuals with type 2 diabetes. Last year, I spent nine months at LipiTUM (Technical University of Munich), where I developed a language model (Smile-to-Bert) to generate embeddings for molecular SMILES. These pre-trained models can be used across datasets to predict molecular properties, an active area of research in drug discovery.
Contact
- you can email me at maria.barranco you guess what upc.edu
Publications
20261 publications
20253 publications
Functional Enrichment of Lipidomics Data to Characterize the Metabolism of Diabetes Mellitus and Subclinical Carotid Atherosclerosis
Guanine and pregnenolone sulfate are associated with incident type 2 diabetes in two independent populations
Lipidomic analysis reveals metabolism alteration associated with subclinical carotid atherosclerosis in type 2 diabetes
20247 publications
Additional file 2 of Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus
Cerebrospinal fluid Homovanillic and 5-Hydroxyindoleacetic acids in a large pediatric population; establishment of reference intervals and impact of disease and medication
Lipidome characterisation and sex-specific differences in type 1 and type 2 diabetes mellitus
Mediterranean diet is a predictor of progression of subclinical atherosclerosis in a mediterranean population: the ILERVAS prospective cohort study
Smile-to-Bert: A BERT architecture trained for physicochemical properties prediction and SMILES embeddings generation
Smile-to-Bert: a pre-trained Transformer model for molecular property prediction using SMILES representations
The lipidomic profile is associated with the dietary pattern in subjects with and without diabetes mellitus from a Mediterranean area
20231 publications
Circulating metabolomic and lipidomic changes in subjects with new-onset type 1 diabetes after optimization of glycemic control
20223 publications
Advanced lipoprotein profile in individuals with normal and impaired glucose metabolism
Perfil lipoproteico avanzado en individuos con metabolismo glucémico normal y alterado
¿ Big data para la diabetes mellitus?
20212 publications
Circulating CD5L is associated with cardiovascular events and all-cause mortality in individuals with chronic kidney disease
mWISE: an algorithm for context-based annotation of liquid chromatography–mass spectrometry features through diffusion in graphs
20201 publications
The circulating fatty acid transporter soluble CD36 is not associated with carotid atherosclerosis in subjects with type 1 and type 2 diabetes mellitus
Unknown Year1 publications
Supporting Information mWISE: an algorithm for context-based annotation of LC-MS features through diffusion in graphs
Social Networks