I am interested in imaging as a valuable tool for the diagnosis, new potential target identification and response to treatment detection in pathologies where a non-invasive approach is essential, as in the case of brain diseases. My previous research was focused on characterizing the metabolic response/resistance of preclinical brain tumours (and other types of cancer) to chemotherapeutic agents and targeted therapies using diverse imaging techniques (DCE-MRI, DWI, MRS, MRSI).
Nowadays, Parkinson’s disease is the second most common neurodegenerative disorder worldwide and a biomarker-based multimodal imaging approach could be very valuable for early diagnosis and drug target identification and validation. My aim now is to apply my imaging skills to the development of MRI and molecular imaging protocols (mainly based on [18F]-DOPA uptake imaged using positron emission tomography (PET)) to study the progressive neurodegenerative phenotype in previously established BAC-LRKK2 transgenic models that mimic the human disease, and compare these findings with clinical data.
Detecting human melanoma cell re-differentiation following BRAF or heat shock protein 90 inhibition using photoacoustic and magnetic resonance imaging.
Shah A. et al, (2017), Sci Rep, 7
The BRAF Inhibitor Vemurafenib Activates Mitochondrial Metabolism and Inhibits Hyperpolarized Pyruvate-Lactate Exchange in BRAF-Mutant Human Melanoma Cells.
Delgado-Goni T. et al, (2016), Mol Cancer Ther, 15, 2987 - 2999
MRSI-based molecular imaging of therapy response to temozolomide in preclinical glioblastoma using source analysis.
Delgado-Goñi T. et al, (2016), NMR Biomed, 29, 732 - 743
Effect of acute hyperglycemia on moderately hypothermic GL261 mouse glioma monitored by T1-weighted DCE MRI.
Simões RV. et al, (2015), MAGMA, 28, 119 - 126
Semi-supervised source extraction methodology for the nosological imaging of glioblastoma response to therapy
Ortega-Martorell S. et al, (2015), IEEE SSCI 2014 - 2014 IEEE Symposium Series on Computational Intelligence - CIDM 2014: 2014 IEEE Symposium on Computational Intelligence and Data Mining, Proceedings, 93 - 98