From Folke Medicine to Medicine Chemistry: Study, Using in Vitro and Cellular Assays, of Receptors Mechanism Involved in the Activities of Natural Compounds

My Doctorate Research has been focused on the evaluation of the pharmacological activity of a natural extract of chestnut wood (ENC) towards the cardiovascular and gastrointestinal system and on the identification of the active compounds. The ENC has been shown to contain more than 10% (w/w) of phenolic compounds, of which tannins as Vescalgin and Castalgin are the more representative. ENC cardiovascular effects have been investigated in guinea pig cardiac preparations; furthermore its activity has been evalueted in guinea pig aorta strips. ENC induced transient negative chronotropic effect in isolated spontaneously beating right atria and simultaneously positive inotropic effect in left atria driven at 1 Hz. Cardiac cholinergic receptors are not involved in the negative chronotropic effect and positive inotropic effects are not related to adrenergic receptors. In vascular smooth muscle, natural extract of chestnut did not significantly change the contraction induced by potassium (80 mM) or that induced by noradrenaline (1μM). In guinea pig ileum, ENC reduced the maximum response to carbachol in a concentrationdependent manner and behaved as a reversible non competitive antagonist. In guinea pig ileum, the antispasmodic activity of ENC showed a significant antispasmodic activity against a variety of different spasmogenic agents including histamine, KCl, BaCl2. In guinea pig proximal colon, stomach and jejunum, ENC reduced the maximum response to carbachol in a concentrationdependent manner and behaved as a reversible non competitive antagonist. ENC contracted gallbladder guinea pig in a reversible and concentration-dependent manner. This effect does not involve cholinergic and cholecystokinin receptors and it is reduced by nifedipine. ENC relaxed Oddi sphincter smooth muscle. The cholecystokinetic and Oddi sphincter relaxing activities occurred also in guinea pigs fed a lithogenic diet. The cholecystokinetic occurred also in human gallbladder. The Fractionation of the extract led to the identification of the active fraction.

Studio sulla perfusione di fegato e milza in animali non convenzionali mediante ecografia e tomografia computerizzata (TC) con mezzo di contrasto

Il presente studio rappresenta la prima applicazione della tecnica CEUS in alcune delle più diffuse specie non convenzionali, nonché la prima nei rettili. In particolare è stata investigata la perfusione di fegato e milza in 10 conigli, 10 furetti e il fegato in 8 iguane. Per quanto riguarda i mammiferi, la tecnica è risultata di facile attuazione e i risultati ottenuti erano equiparabili a quelli documentati per i piccoli animali. Maggiore variabilità si è messa in evidenza a livello splenico in entrambe le specie e nel coniglio rispetto al furetto. Nelle iguane è stata necessaria una modifica del protocollo a seguito dei tempi più lunghi delle fasi di wash in e di wash out. Le curve ottenute erano caratterizzate da picchi più bassi e TTP più lunghi, con wash out incompleto anche dopo 10 minuti di indagine. Nelle iguane l’indagine del fegato è stata approfondita grazie all’esecuzione di TC dinamiche con MDC, studio pioneristico per quanto riguarda la medicina dei rettili. L’esecuzione è avvenuta senza problemi in anestesia generale. Diffusione del MDC e conseguenti variazione di HU a livello aortico e epatico sono state considerate contemporaneamente, con costruzione di curve HU-tempo piuttosto ripetibili, entrambe caratterizzate da un wash in rapido, un picco, particolarmente alto a livello aortico, e da una fase di wash out più lento, anche qui incompleto dopo i 600 secondi di indagine. Una certa variabilità è stata notata in tre individui, risultato attendibile conseguentemente alla forte dipendenza da fattori intriseci ed estrinseci del metabolismo e della funzionalità epatica dei rettili. L’intero protocollo è stato applicato in un furetto e due iguane patologiche, al fine di evidenziare le potenzialità cliniche delle tecniche. Sebbene il numero esiguo di casi non permetta di trarre conclusioni a questo riguardo, l’ultimo capitolo della tesi vuole essere uno spunto per studi futuri.

Musculoskeletal tissue regeneration by human non-embryonic stem cells

The aim of this thesis was to investigate the regenerative potential of alternative sources of stem cells, derived from human dental pulp (hDPSCs) and amniotic fluid (hAFSCs) and, specifically, to evaluate their capability to be committed towards osteogenic and myogenic lineages, for the eventual applicability of these stem cells to translational strategies in regenerative medicine of bone and skeletal muscle tissues. The in vitro bone production by stem cells may represent a radical breakthrough in the treatment of pathologies and traumas characterized by critical bone mass defects, with no medical or surgical solution. Human DPSCs and AFSCs were seeded and pre-differentiated on different scaffolds to test their capability to subsequently reach the osteogenic differentiation in vivo, in order to recover critical size bone defects. Fibroin scaffold resulted to be the best scaffold promoting mature bone formation and defect correction when combined to both hDPSCs and hAFSCs. This study also described a culture condition that might allow human DPSCs to be used for human cell therapy in compliance with good manufacturing practices (GMPs): the use of human serum (HS) promoted the expansion and the osteogenic differentiation of hDPSCs in vitro and, furthermore, allowed pre-differentiated hDPSCs to regenerate critical size bone defects in vivo. This thesis also showed that hDPSCs and hAFSCs can be differentiated towards the myogenic lineage in vitro, either when co-cultured with murine myoblasts and when differentiated alone after DNA demethylation treatment. Interestingly, when injected into dystrophic muscles of SCID/mdx mice - animal model of Duchenne Muscular Dystrophy (DMD) - hDPSCs and hAFSCs pre-differentiated after demethylating treatment were able to regenerate the skeletal muscle tissue and, particularly, to restore dystrophin expression. These observations suggest that human DPSCs and AFSCs might be eventually applied to translational strategies, in order to enhance the repair of injured skeletal muscles in DMD patients.

Plasma-activated liquids as promising tools for non-invasive selective treatment of epithelial ovarian cancer

Plasma medicine is a branch of plasma-promising biomedical applications that uses cold atmospheric plasma (CAP) as a therapeutic agent in treating a wide range of medical conditions including cancer. Epithelial ovarian cancer (EOC) is a highly malignant and aggressive form of ovarian cancer, and most patients are diagnosed at advanced stages which significantly reduces the chances of successful treatment. Treatment resistance is also common, highlighting the need for novel therapies to be developed to treat EOC. Research in Plasma Medicine has revealed that plasma has unique properties suitable for biomedical applications and medical therapies, including responses to hormetic stimuli. However, the exact mechanisms by which CAP works at the molecular level are not yet fully understood. In this regard, the main goal of this thesis is to identify a possible adjuvant therapy for cancer, which could exert a cytotoxic effect, without damaging the surrounding healthy cells. An examination of different plasma-activated liquids (PALs) revealed their potential as effective tools for significantly inhibiting the growth of EOC. The dose-response profile between PALs and their targeted cytotoxic effects on EOC cells without affecting healthy cells was established. Additionally, it was validated that PALs exert distinct effects on different subtypes of EOC, possibly linked to the cells' metabolism. This suggests the potential for developing new, personalized anticancer strategies. Furthermore, it was observed that CAP treatment can alter the chemistry of a biomolecule present in PAL, impacting its cytotoxic activity. The effectiveness of the treatment was also preliminarily evaluated in 3D cultures, opening the door for further investigation of a possible correlation between the tumor microenvironment and PALs' resistance. These findings shed light on the intricate interplay between CAP and the liquid substrate and cell behaviour, providing valuable insights for the development of a novel and promising CAP-based cancer treatment for clinical application.

Data driven regularization models of non-linear ill-posed inverse problems in imaging

Imaging technologies are widely used in application fields such as natural sciences, engineering, medicine, and life sciences. A broad class of imaging problems reduces to solve ill-posed inverse problems (IPs). Traditional strategies to solve these ill-posed IPs rely on variational regularization methods, which are based on minimization of suitable energies, and make use of knowledge about the image formation model (forward operator) and prior knowledge on the solution, but lack in incorporating knowledge directly from data. On the other hand, the more recent learned approaches can easily learn the intricate statistics of images depending on a large set of data, but do not have a systematic method for incorporating prior knowledge about the image formation model. The main purpose of this thesis is to discuss data-driven image reconstruction methods which combine the benefits of these two different reconstruction strategies for the solution of highly nonlinear ill-posed inverse problems. Mathematical formulation and numerical approaches for image IPs, including linear as well as strongly nonlinear problems are described. More specifically we address the Electrical impedance Tomography (EIT) reconstruction problem by unrolling the regularized Gauss-Newton method and integrating the regularization learned by a data-adaptive neural network. Furthermore we investigate the solution of non-linear ill-posed IPs introducing a deep-PnP framework that integrates the graph convolutional denoiser into the proximal Gauss-Newton method with a practical application to the EIT, a recently introduced promising imaging technique. Efficient algorithms are then applied to the solution of the limited electrods problem in EIT, combining compressive sensing techniques and deep learning strategies. Finally, a transformer-based neural network architecture is adapted to restore the noisy solution of the Computed Tomography problem recovered using the filtered back-projection method.