The role of Proteasome in the development, maintenance and management of Chronic Pain

In chronic pain, opioids represent the gold standard analgesics, but their use is hampered by the development of several side effects, as development of analgesic tolerance and opioid-induced hyperalgesia. Evidence showed that many molecular mechanisms (changes in opioid receptors, neurotransmitter release, and glia/microglia activation) are involved in their appearance, as well as in chronic pain. Recently, a crucial role has been proposed for oxidative stress and proteasome in chronic pain and in treatment-related side effects. To better elucidate these aspects, the aim of this PhD thesis was to investigate the effects of opioids on cell oxidative stress, antioxidant enzymatic machinery and proteasome expression and activity in vitro. Also, the involvement of proteasome in the development of chronic pain conditions was investigated utilizing an experimental model of oxaliplatin-induced neuropathy (OXAIN), in vivo. Data showed that morphine, fentanyl, buprenorphine and tapentadol alter differently ROS production. The ROS increasing effect of morphine is not shared by the other opioids, suggesting that the different pharmacological profile could influence this parameter. Moreover, these drugs produced different alterations of β2trypsin-like and β5chymotrypsin-like activities. In fact, while morphine and fentanyl increased the proteolytic activity after prolonged exposure, a different picture was observed for buprenorphine and tapentadol, suggesting that the level of MOR agonism could be strongly related with proteasome activation. In vivo studies revealed that rats treated with oxaliplatin showed a significant increase in β5, in the thalamus (TH) and somatosensory cortex (SSCx). Moreover, a selective up-regulation of β5 and LMP7 subunit gene expression was assessed in the SSCx. Furthermore, our study revealed that oprozomib, a selective β5 inhibitor normalized the spinal prodynorphin gene expression upregulation induced by oxaliplatin, and reverted mechanical/thermal allodynia and mechanical hyperalgesia in oxaliplatin-treated rats. These results underline the role of proteasome in the OXAIN and suggest new pharmacological targets to counteract it.

Evaluation of the theranostic use of miRNAs in correlation to the radiopharmaceutical 64CuCl2 in glioblastoma

B:Glioblastoma multiforme(GBM) is one of the most prevalent and aggressive malignant primary brain tumors in adult patients. 64CuCl2 is an innovative radiopharmaceutical investigated as theranostic agent in GBM patients. The therapeutic scheme is still under evaluation, therefore the research focused on the possibility of radioresistance development. The actors responsible for modulating radioresistance could be miRNAs, thus their potential use was investigated both in radioresistant cell lines and in GBM patients plasma samples. M:Radioresistant cell lines were generated by exposing U87MG, U373MG lines to increasing doses of radiation for 32 weeks. Cell membrane permeability alterations and DNA damage were assessed to characterize the lines. Moreover, 64Cu cell incorporation and subcellular distribution were investigated measuring gamma-radiation emission. miRNA expression was evaluated: in parental and radioresistant cell lines, both in cell pellet and media exosomes; in plasma samples of GBM patients using TaqMan Array MicroRNA Cards. R:Radioresistant lines exhibited reduction in membrane permeability and in DNA DSBs indicating the capability to skip the drug killing effect. Cell uptake assays showed internalization of 64Cu both in the sensitive and radioresistant lines. Radioresistant lines showed a different miRNA expression profile compared to the parental lines. 5 miRNAs were selected as possible biomarkers of response to treatment (miR-339-3p, miR-133b, miR-103a-3p, miR-32-5p, miR-335-5p) and 6 miRNAs as possible predictive biomarkers of response to treatment (let-7e-5p, miR-15a-5p, miR-29c-3p, miR-495, miR-146b-5p, miR-199a-5p). miR-32-5p was selected as possible molecule to be used to restore 64CuCl2 responsiveness in the radioresistant cell lines. C: This is the first study describing the development and characterization of 64CuCl2 radioresistant cell lines useful to implement the approach for dosimetric analysis to avoid radioresistance uprising. miRNAs could bring to a better understanding of 64CuCl2 treatment, becoming a useful tool both in detection of treatment response and both as molecule that could restore responsiveness to 64CuCl2 treatment.

Modeling Alzheimer disease with iPSCs and mouse model for the identification of risk factors, new targets, and potential therapeutical strategies

Alzheimer's disease (AD) is the most common neurodegenerative disease in elderly. Donepezil is the first-line drug used for AD. In section one, the experimental activity was oriented to evaluate and characterize molecular and cellular mechanisms that contribute to neurodegeneration induced by the Aβ1-42 oligomers (Aβ1-42O) and potential neuroprotective effects of the hybrids feruloyl-donepezil compound called PQM130. The effects of PQM130 were compared to donepezil in a murine AD model, obtained by intracerebroventricular (i.c.v.) injection of Aβ1-42O. The intraperitoneal administration of PQM130 (0.5-1 mg/kg) after i.c.v. Aβ1-42O injection improved learning and memory, protecting mice against spatial cognition decline. Moreover, it reduced oxidative stress, neuroinflammation and neuronal apoptosis, induced cell survival and protein synthesis in mice hippocampus. PQM130 modulated different pathways than donepezil, and it is more effective in counteracting Aβ1-42O damage. The section two of the experimental activity was focused on studying a loss of function variants of ABCA7. GWA studies identified mutations in the ABCA7 gene as a risk factor for AD. The mechanism through which ABCA7 contributes to AD is not clear. ABCA7 regulates lipid metabolism and critically controls phagocytic function. To investigate ABCA7 functions, CRISPR/Cas9 technology was used to engineer human iPSCs and to carry the genetic variant Y622*, which results in a premature stop codon, causing ABCA7 loss-of-function. From iPSCs, astrocytes were generated. This study revealed the effects of ABCA7 loss in astrocytes. ABCA7 Y622* mutation induced dysfunctional endocytic trafficking, impairing Aβ clearance, lipid dysregulation and cell homeostasis disruption, alterations that could contribute to AD. Though further studies are needed to confirm the PQM130 neuroprotective role and ABCA7 function in AD, the provided results showed a better understanding of AD pathophysiology, a new therapeutic approach to treat AD, and illustrated an innovative methodology for studying the disease.

Ocratossina A, metalli, insetticidi e fitoestratti: valutazione degli effetti e degli aspetti residuali nel pollame e in alimenti destinati all'uomo.

La presente tesi di Dottorato di Ricerca descrive le attività di ricerca riguardanti diversi ambiti della sicurezza alimentare, della farmacologia e tossicologia veterinaria. Sono presentati i dati relativi alla ricerca di ocratossina A (OTA) in campioni di bile, rene e fegato di polli, salami artigianali e diversi tipi di formaggio; le concentrazioni di diversi metalli pesanti in uova di galline rurali e 5 tipologie di uova industriali; i dati preliminari ottenuti dalle analisi dei primi campioni di uova e penne provenienti da allevamenti amatoriali di pollame, analizzati per la ricerca del fipronil e metaboliti. Sempre per fipronil, e la molecola foxim, sono presentati dati inerenti a studi di potenziale farmaco-resistenza di popolazioni naturali di Dermanyssus gallinae, e dell’attività insetticida di alcuni fitocomposti a base di tannini. Riguardo all’uso di fitoestratti, sono presentati i dati preliminari ottenuti nei primi mesi di una prova sperimentale in galline di razza Livornese allevata con metodo free-range, finalizzata allo studio della attività anti-infiammatoria e immuno-stimolante, nonché alla valutazione della sicurezza della integrazione nella dieta di Boswellia serrata e Salix alba. Sono stati condotti anche studi traslazionali con altri settori scientifici, relativamente la prevalenza sierologica e microbiologica per Salmonella enterica var. enteritidis e var. thiphymurium in allevamenti ornamentali e da auto-consumo di pollame, e di prevalenza e caratterizzazione di potenziali varianti virali e batteriche (incluse zoonosiche) di alcune malattie infettive del pollame ornamentale. In specie avicole ornamentali è riportato anche uno studio di campo sul trattamento off-label con Fenbendazolo e Flubendazolo in infestazioni massive da Cyathostoma bronchialis in oche esotiche ornamentali. A seguito di una collaborazione con l’Università di Firenze, sono presentati anche i risultati ottenuti da uno studio su modelli murini, dell’azione e funzionamento dei recettori Beta3, espressi nelle neoplasie più frequenti che si verificano nelle donne in gravidanza.

Preclinical studies of the combined effect of anti-MYCN PNA and Retinoic Acid as potential approach to treat Neuroblastoma

Neuroblastoma (NB) is the deadliest cancer in early childhood. Around 25% of patients pre- sent MYCN-amplification (MNA) which is linked to poor prognosis, metastasis, and therapy- resistance. While retinoic acid (RA) is beneficial only for some NB patients, the cause of its resistance is still unknown. Thus, there remains a need for new therapies to treat NB. I show that MYCN-specific inhibition by the antigene oligonucleotide BGA002 in combination with 13-cis RA (BGA002-RA) overcome resistance in MNA-NB cell lines, leading to potent MYCN mRNA expression and protein decrease. Moreover, BGA002-RA reactivated neuron differentiation or led to apoptosis in MNA-NB cell lines, and inhibited invasiveness capacity. Since NB and PI3K/mTOR pathway are strictly related MYCN down-regulation by BGA002 led to mTOR pathway inhibition in MNA-NB, that was strengthened by BGA002-RA. I further analyzed if MYCN silencing may induce autophagy reactivation, and indeed BGA002-RA caused a massive increase in lysosomes and macrovacuoles in MNA-NB cells. In addition, while MYCN is known to induce angiogenesis, BGA002-RA in vivo treatment elim- inated the tumor vascularization in a MNA-NB mice model, and significantly increased the survival. Overall, these results indicate that MYCN modulation mediates the therapeutic efficacy of RA and the development of RA resistance in MNA-NB. Furthermore, by targeting MYCN, we show a cancer-specific way of mTOR pathway inhibition only in MNA-NB, avoiding side effects of targeting mTOR in normal cells. These findings warrant clinical testing of BGA002-RA as a potential strategy to overcome RA resistance in MNA-NB.

Non conventional species as monitor of environmental pollution

This thesis collects several ecotoxicological studies focused on the quali- quantitative analysis of several classes of chemical compounds. Our studies have been conducted on different aquatic species occupying different food chain trophic levels and characterized by differences in biology, ethology, and nutrition, but all considered excellent bioindicators. This choice allowed us to have a broad overview of the contamination of aquatic environments. Detrimental effects of several chemical compounds on the species investigated have been discussed, considering the economic and public health implications linked to the pollution of the environment and the exposure to old and emerging xenobiotics. Our studies underline the importance of a multidisciplinary and integrated approach that includes the application of the one health concept to ensure the protection of public health and respect for natural environments. Studies collected in this thesis also aim to overcome some critical limitations of the branch of ecotoxicology, such as the lack of standardization in laboratory methods. Our data also underline the importance of expanding research to a greater number of various biological matrices than those indicated by the literature as target tissues for specific pollutants. This condition enables more detailed information on the kinetics of xenobiotics in animal organisms. Our studies also allow us to expand the knowledge related to the mechanisms of synergy and antagonism of mixtures of pollutants that can simultaneously accumulate in wildlife.

Toxicological effects related to a novel heated tobacco product

The tobacco epidemic is a public health burden. Nicotine-Delivery-Systems(NDS) are devices designed to help people replace conventional cigarette(CC) and among these devices we find electronic cigarettes(e-cig), which are classified as Electronic-NDS(ENDS). E-cigs use different technologies to vaporize a liquid or to heat the tobacco avoiding the combustion phenomenon(IQOS). The US Food and Drug Administration(FDA) has labelled IQOS as modified risk tobacco products(MRTPs), indirectly encouraging the perception of safety in the consumers, but IQOS smoke, although to a lesser extent than conventional, still presents a great deal of harmful or potentially harmful compounds. My PhD thesis aims to study the toxic effects related to IQOS exposure. I sought to answer the question of whether the toxic compounds released by IQOS, albeit in reduced concentrations, could lead to genotoxicity and damage to the airways and liver in vivo. At the University of Nottingham, I have investigated in vitro the effects generated by the IQOS, e-cigs and CC exposure on PBMCs and human lung epithelial cell line. Finally, at University of Milano–Bicocca, I have developed a in vivo Positron Emission computed Tomography(PET) imaging procedure meant to be applied to the monitoring of ENDS toxicity, particularly in the brain. These results indicate that IQOS is not a low-risk product in vivo, for primary target organs but also for secondary organs, although we have observed a small impact in vitro. Labelling as MRTP may mislead consumers who interpret “a lower level of toxic compounds” as an indication of “harmlessness” when there is a health risk for users. In the last part, I set up a methodology for studying temporal fluctuations of regional brain metabolism and connectivity derived from mice of different ages allowing researchers to obtain normative values in investigations of the efficacy or toxicity of substances at the functional level of the CNS.

Preclinical evaluation of a MYCN-specific inhibitor for the treatment of small cell lung cancer

Small cell lung cancer (SCLC) is the most aggressive form of lung cancer, characterized by rapid growth, early metastasis and acquired drug resistance. SCLC is usually sensitive to initial treatment, however, most patients relapse within few months; thus more effective therapies are urgently needed. Key genetic alterations very frequently observed in SCLC include loss of TP53 and RB1 and mutations in the MYC family genes (MYC, MYCL or MYCN). One of them is amplified and overexpressed in a mutually exclusive manner and represents the most prominent activating oncogene alteration in this malignancy. In particular, MYCN amplification is associated with tumor progression, treatment failure and poor prognosis. Given the role of MYCN in SCLC and its restricted expression profile, MYCN represents a promising therapeutic target; although it is considered undruggable by traditional approaches. An innovative approach to target the oncogene concerns specific MYCN expression inhibition, acting directly at the level of DNA, through an antigene peptide nucleic acid (agPNA) oligonucleotide, called BGA002. This thesis focused on the study of BGA002, as a possible targeted therapeutic strategy for the treatment of MYCN-related SCLC. In this context, BGA002 proved to be a specific and highly effective inhibitor. Furthermore, MYCN silencing induced alterations in many downstream pathways and led to apoptosis, in concomitance with autophagy reactivation. Moreover, systemic administration of BGA002 was effective in vivo as well, significantly increasing survival in MNA mouse models, even in the scenario of multidrug-resistance. In addition, BGA002 treatment successfully reduced N-Myc protein expression and, more importantly, caused a massive diminishment in tumor vascularization in the multidrug-resistant model. Overall, these results proved that MYCN inhibition by BGA002 may represent a new promising precision medicine approach, to treat MYCN-related SCLC.

Anticancer drug discovery using artificial intelligence: an application in pharmacological activity prediction

Hematological cancers are a heterogeneous family of diseases that can be divided into leukemias, lymphomas, and myelomas, often called “liquid tumors”. Since they cannot be surgically removable, chemotherapy represents the mainstay of their treatment. However, it still faces several challenges like drug resistance and low response rate, and the need for new anticancer agents is compelling. The drug discovery process is long-term, costly, and prone to high failure rates. With the rapid expansion of biological and chemical "big data", some computational techniques such as machine learning tools have been increasingly employed to speed up and economize the whole process. Machine learning algorithms can create complex models with the aim to determine the biological activity of compounds against several targets, based on their chemical properties. These models are defined as multi-target Quantitative Structure-Activity Relationship (mt-QSAR) and can be used to virtually screen small and large chemical libraries for the identification of new molecules with anticancer activity. The aim of my Ph.D. project was to employ machine learning techniques to build an mt-QSAR classification model for the prediction of cytotoxic drugs simultaneously active against 43 hematological cancer cell lines. For this purpose, first, I constructed a large and diversified dataset of molecules extracted from the ChEMBL database. Then, I compared the performance of different ML classification algorithms, until Random Forest was identified as the one returning the best predictions. Finally, I used different approaches to maximize the performance of the model, which achieved an accuracy of 88% by correctly classifying 93% of inactive molecules and 72% of active molecules in a validation set. This model was further applied to the virtual screening of a small dataset of molecules tested in our laboratory, where it showed 100% accuracy in correctly classifying all molecules. This result is confirmed by our previous in vitro experiments.

Characterizing “Exposure-PK/PD-Biomarker” relationships in patients with hematologic malignancies

Antimicrobial stewardship programs are gaining more and more relevance in optimizing anti-infective treatment and in preventing the emergence of antimicrobial resistance. Personalization of antimicrobial treatment based on real-time therapeutic drug morning (TDM) and dosing adaptation may represent an important tool in antimicrobial stewardship programs. In this Ph.D project, we aim to focus on differences in pharmacokinetics (PK) for meropenem and piperacillin/tazobactam and host response biomarkers (e.g., C-reactive protein) in severe Gram‐negative related infections occurring in oncohematologic patients. We are interested in identifying optimized model‐based individualized dosing strategies for these antibiotics focusing on biomarkers-guided prediction of PK and pharmacodynamic (PD) parameters using population PK/PD modelling. We expect to identify optimal model‐based dosing targets for these antibiotics for special populations for implementation in TDM routines, and mathematical models characterizing the relationship between biomarkers and outcomes in these populations.

Gastrointestinal stromal tumors: Arbutus unedo L. as a source of novel chemotherapeutics & mechanisms behind metastasis

Gastrointestinal stromal tumors (GIST) are mesenchymal neoplasms frequently caused by a gain of function mutation in KIT or PDGFRα, two tyrosine kinase receptors (TKR). For this reason, they are successfully treated with imatinib, a tyrosine kinase inhibitor (TKI). However, the therapy is typically long-term ineffective due to imatinib resistance, which represents the main issue in the clinic of GISTs. Although numerous efforts have been made in the last two decades to develop novel therapies for imatinib-resistant GISTs, the approvals of multi-target TKIs have only improved the clinical outcomes modestly. Emblematic is the recent failure of ripretinib in the phase III INTRIGUE trial, decisively marking the end of the paradigm only based on the central role of KIT secondary mutations in imatinib resistance, and the consequent seeking of multi-target TKIs as the solution. Consistent with this clinical result, preclinical studies have revealed numerous mechanisms of resistance that are not targetable with multi-target TKIs, indicating that imatinib resistance is more multifaceted than initially hypothesized and explaining the modest efficacy of these latter. In this scenario, the absence of drugs capable of long-term counteracting the rise of imatinib-resistant subclones unavoidably leads to progressive disease and metastasis. In particular, the onset of metastases remarkably impacts the median overall survival and determines the most GIST-related deaths. Therefore, new therapy proposals are needed. Here, we present two project lines investigating novel strategies to counteract imatinib-resistant GISTs.