Dario Livio Longo - PI

Head of the Research Unit of Torino, Institute of Biostructures and Bioimaging (IBB), National Research Council of Italy (CNR)

Antonella Carella – post-doctoral fellow
Alessia Corrado – PhD student
Elisa Pirotta - PhD student
Elena Botto – post-graduate fellow
Feriel Romdhane - post-doctoral fellow
Francesco Gammaraccio – post-graduate fellow
Kranthi Thei Kandula - post-graduate fellow
Elisabetta Spinazzola - post-graduate fellow
Research activity
The scientific activity is directed towards the development and characterization of contrast agents for Magnetic Resonance Imaging (MRI) based on i) paramagnetic coordination complexes of Gd (III) and / or other lanthanides as responsive probes or with high-relaxivity, ii) molecules of natural origin (natural compounds, proteins, polymers) as biocompatible and safe contrast agents and iii) iodinated compounds used in computed tomography (CT) applications as innovative contrast agents for CEST (Chemical Exchange Saturation Transfer) imaging at the preclinical level. These new contrast agents are exploited for developing new procedures for the evaluation of the tumor microenvironment (vascularization, acidosis) and to quantify the therapeutic response to drugs in several murine pathological models.
A first line of research has concerned the development of molecules as pH responsive agents, to be able to quantify pH in vivo using magnetic resonance imaging. The candidate contributed to advance the understanding of tumor acidosis, a key aspect of tumor metabolism, through the development and validation of pH-responsive contrast agents and of new methods for the measurement of the tissue pH, for image acquisition and to improve its quantification. For the first time it was possible to measure the acidification of the tumor microenvironment in vivo with high spatial resolution, accuracy and on the whole tumor allowing to demonstrate in vivo the association between acidity of the tumor environment and aggressiveness and providing a new non-invasive method to evaluate the efficacy of innovative anticancer drugs acting on tumor metabolism (Figure 1).
A second line of research concerned the use and development of new methods for measuring pH at the level of the kidneys, promoting their use to evaluate renal function and to evaluate damage and recovery. The kidney is a highly complex organ consisting of well-defined structures that function in a deeply coordinate fashion to allow for fine regulation of pH homeostasis. Although the principal role of the kidney is the maintenance of acid–base balance, current imaging approaches are unable to assess this important parameter and clinical biomarkers are not robust enough in evaluating the severity of kidney damage. Therefore, our lab is developing novel noninvasive imaging approaches to assess the acid–base homeostasis in vivo and to monitor pH evolution following kidney injury (Figure 2).
A third line of research concerns the development of new molecules, both synthetic and natural, such as new contrast agents for MRI with the aim of improving the efficiency of the contrast or as alternatives to gadolinium complexes to solve the problems of accumulation following repeated injections of the same gadolinium-based agents. On this issue, the results have led to fundamental contributions in the development of contrast agents based on natural compounds with a high safety index, such as pharmaceutical excipients, sugars and glucose derivatives, or manganese complexes or iodinated agents (currently used as a contrast medium for computed tomography) or coordination complexes with paramagnetic ions other than gadolinium or nanosystems demonstrating their use as alternatives to gadolinium which is currently used in clinical investigations by MRI.
A fourth line of research involved the development of macromolecular compounds such as gadolinium-based contrast agents to characterize tumor vasculature and to evaluate response to antiangiogenic drugs or immunotherapies, combined with the development of low-field (1 Tesla) MRI scanners where these contrast agents, following the interaction with macromolecules, have a higher contrast efficiency. Within this vein I have developed new computational methods to predict the interaction with albumin and to characterize the contrast efficiency which led to the development of probes with an efficiency of superior contrast to that of gadolinium-based contrast agents commonly used in the clinic for the development of protocols for DCE-MRI having as application the study of vascularization and permeability/perfusion changes following the angiogenic switch, or to study therapies that target angiogenesis on different tumor models (Figure 3).
We plan to continue with the development and validation of new molecules as pH-responsive contrast agents for MRI and we will expand the fields of use to further validate this method as a non-invasive biomarker to predict the aggressiveness of solid tumors and to evaluate the therapeutic efficacy of anticancer drugs and of novel immunotherapies.
Title: “Multidimensional MRI mapping of tumor acidosis: tracking spatial heterogeneity and temporal evolution”
Dates: 2018-2023, 60 months
Funds: 495K €
Project Coordinator: Dario Longo (IBB-CNR, IT)
Role: Principal Investigator
Agency / Grant Number: AIRC – MFAG 2017 / #20153
Title: “A European-wide foundation to accelerate Data-driven Cancer Research (EOSC4Cancer)”
Dates: 2022-2025, 30 months
Funds: 132K €
Project Coordinator: Prof. Alfonso Valencia (BARCELONA SUPERCOMPUTING CENTER- Spain)
Role: Local unit coordinator
Agency / Grant Number: HORIZON-INFRA-2021-EOSC-01/ #101058427
Title: “Imaging extracellular pH as a new MRI diagnostic tool (PHeMRI)”
Dates: 2017-2019, 30 months
Funds: 70K €
Project Coordinator: Walter Dastrù (University of Torino, IT)
Role: Co-PI
Agency / Grant Number: Progetti di Ateneo - CSP 2016 / CSTO165925
Irrera P, Consolino L, Roberto M, Capozza M, Dhakan C, Carella A, Corrado A, Villano D, Anemone A, Navarro-Tableros V, Bracesco M, Dastrù W, Aime S, Longo DL. In Vivo MRI-CEST Tumor pH Imaging Detects Resistance to Proton Pump Inhibitors in Human Prostate Cancer Murine Models. Cancers (Basel). 2022 Oct 7;14(19):4916. doi: 10.3390/cancers14194916. PMID: 36230838;
Leone L, Anemone A, Carella A, Botto E, Longo DL, Tei L. A Neutral and Stable Macrocyclic Mn(II) Complex for MRI Tumor Visualization. ChemMedChem. 2022 Dec 16;17(24):e202200508. doi: 10.1002/cmdc.202200508. PMID: 36198652;
Anemone A, Consolino L, Conti L, Irrera P, Hsu MY, Villano D, Dastrù W, Porporato PE, Cavallo F, Longo DL. Tumour acidosis evaluated in vivo by MRI-CEST pH imaging reveals breast cancer metastatic potential. Br J Cancer. 2021 Jan;124(1):207-216. doi: 10.1038/s41416-020-01173-0. PMID: 33257841;
Irrera P, Consolino L, Cutrin JC, Zöllner FG, Longo DL. Dual assessment of kidney perfusion and pH by exploiting a dynamic CEST-MRI approach in an acute kidney ischemia-reperfusion injury murine model. NMR Biomed. 2020 Jun;33(6):e4287. doi: 10.1002/nbm.4287. PMID: 32153058.
Anemone A, Consolino L, Conti L, Reineri F, Cavallo F, Aime S, Longo DL. In vivo evaluation of tumour acidosis for assessing the early metabolic response and onset of resistance to dichloroacetate by using magnetic resonance pH imaging. Int J Oncol. 2017 Aug;51(2):498-506. doi: 10.3892/ijo.2017.4029. PMID: 28714513.
Anemone A, Consolino L, Longo DL. MRI-CEST assessment of tumour perfusion using X-ray iodinated agents: comparison with a conventional Gd-based agent. Eur Radiol. 2017 May;27(5):2170-2179. doi: 10.1007/s00330-016-4552-7. PMID: 27572810.
Longo DL, Arena F, Consolino L, Minazzi P, Geninatti-Crich S, Giovenzana GB, Aime S. Gd-AAZTA-MADEC, an improved blood pool agent for DCE-MRI studies on mice on 1 T scanners. Biomaterials. 2016 Jan;75:47-57. doi: 10.1016/j.biomaterials.2015.10.012. PMID: 26480471.
Longo DL, Michelotti F, Consolino L, Bardini P, Digilio G, Xiao G, Sun PZ, Aime S. In Vitro and In Vivo Assessment of Nonionic Iodinated Radiographic Molecules as Chemical Exchange Saturation Transfer Magnetic Resonance Imaging Tumor Perfusion Agents. Invest Radiol. 2016 Mar;51(3):155-62. doi: 10.1097/RLI.0000000000000217. PMID: 26460826.
Longo DL, Dastrù W, Consolino L, Espak M, Arigoni M, Cavallo F, Aime S. Cluster analysis of quantitative parametric maps from DCE-MRI: application in evaluating heterogeneity of tumor response to antiangiogenic treatment. Magn Reson Imaging. 2015 Jul;33(6):725-36. doi: 10.1016/j.mri.2015.03.005. PMID: 25839393.
Longo DL, Bartoli A, Consolino L, Bardini P, Arena F, Schwaiger M, Aime S. In Vivo Imaging of Tumor Metabolism and Acidosis by Combining PET and MRI-CEST pH Imaging. Cancer Res. 2016 Nov 15;76(22):6463-6470. doi: 10.1158/0008-5472.CAN-16-0825. PMID: 27651313.