The biological basis of autism spectrum disorders: evaluation of oxidative stress and erytrocyte membrane alterations

This case-control study involved a total of 29 autistic children (Au) aged 6 to 12 years, and 28 gender and age-matched typically developing children (TD). We evaluated a high number of peripheral oxidative stress parameters, erythrocyte and lymphocyte membrane functional features and membrane lipid composition of erythrocyte. Erythrocyte TBARS, Peroxiredoxin II, Protein Carbonyl Groups and urinary HEL and isoprostane levels were elevated in AU (confirming an imbalance of the redox status of Au); other oxidative stress markers or associated parameters (urinary 8-oxo-dG, plasma Total antioxidant capacity and plasma carbonyl groups, erythrocyte SOD and catalase activities) were unchanged, whilst peroxiredoxin I showed a trend of elevated levels in red blood cells of Au children. A very significant reduction of both erythrocyte and lymphocyte Na+, K+-ATPase activity (NKA), a reduction of erythrocyte membrane fluidity, a reduction of phospatydyl serine exposition on erythrocyte membranes, an alteration in erythrocyte fatty acid membrane profile (increase in MUFA and in ω6/ω3 ratio due to decrease in EPA and DHA) and a reduction of cholesterol content of erythrocyte membrane were found in Au compared to TD, without change in erythrocyte membrane sialic acid content and in lymphocyte membrane fluidity. Some Au clinical features appear to be correlated with these findings; in particular, hyperactivity score appears to be related with some parameters of the lipidomic profile and membrane fluidity, and ADOS and CARS score are inversely related to peroxiredoxin II levels. Oxidative stress and erythrocyte structural and functional alterations may play a role in the pathogenesis of Autism Spectrum Disorders and could be potentially utilized as peripheral biomarkers.

Generation and characterization of mouse models of Small cell lung cancer and Basal cell carcinoma for the preclinical evaluation of new therapies

Background. Human small cell lung cancer (SCLC) accounting for approximately 15-20% of all lung cancers, is an aggressive tumor with high propensity for early regional and distant metastases. Although the initial tumor rate response to chemotherapy is very high, SCLC relapses after approximately 4 months in ED and 12 months in LD. Basal cell carcinoma (BCC) is the most prevalent cancer in the western world, and its incidence is increasing worldwide. This type of cancer rarely metastasizes and the death rate is extraordinary low. Surgery is curative for most of the patients, but for those that develop locally advanced or metastatic BCC there is currently no effective treatment. Both types of cancer have been deeply investigated and genetic alterations, MYCN amplification (MA) among the most interesting, have been found. These could become targets of new pharmacological therapies. Procedures. We created and characterized novel BLI xenograft orthotopic mouse models of SCLC to evaluate the tumor onset and progression and the efficacy of new pharmacological strategies. We compared an in vitro model with a transgenic mouse model of BCC, to investigate and delineate the canonical HH signalling pathway and its connections with other molecular pathways. Results and conclusions. The orthotopic models showed latency and progression patterns similar to human disease. Chemotherapy treatments improved survival rates and validated the in vivo model. The presence of MA and overexpression were confirmed in each model and we tested the efficacy of a new MYCN inhibitor in vitro. Preliminar data of BCC models highlighted Hedgehog pathway role and underlined the importance of both in vitro and in vivo strategies to achieve a better understanding of the pathology and to evaluate the applicability of new therapeutic compounds

Guidelines of Special Care Dentistry in Patients with Chromosomal and Genetic syndromes

Chromosomal and genetic syndromes are frequently associated with dental and cranio-facial alterations. The aim of our study is to identify and describe the dental and craniofacial alterations typical of six genetic and chromosomal syndromes examined. Materials and Methods- A dental visit was performed to 195 patients referred from Sant’Orsola Hospital of Bologna, University of Bologna, to Service of Special Need Dentistry, Dental Clinic, Department of Biomedical and Neuromotor Science, University of Bologna. The patients recruited were 137 females and 58 males, in an age range of 3-49 years (mean age of 13.8±7.4). The total sample consisted of subjects affected with Down Syndrome (n=133), Familiar Hypophosphatemic Ricket (n=10), Muscular Dystrophies (n=12), Noonan Syndrome (n=13), Turner Syndrome (n=17), Williams Syndrome(n=10). A questionnaire regarding detailed medical and dental history, oral health and dietary habits, was filled by parents/caregivers, or patients themselves when possible. The intra-oral and extra-oral examination valued the presence of facial asymmetries, oral habits, dental and skeletal malocclusions, dental formula, dental anomalies, Plaque Index (Silness&LÖe Index), caries prevalence (dmft/DMFT index), gingivitis and periodontal disease, and mucosal lesions. Radiographic examinations (Intraoral radiographies, Orthopanoramic, Skull teleradiography) were executed according to patient’s age and treatment planning. A review of literature about each syndrome and its dental and cranio-facial characteristics and about caries, hygiene status and malocclusion prevalence on syndromic and non-syndromic population was performed. Results - The data of all the patients were collected in the “Data Collection Tables” created for each syndrome. General anamnesis information, oral hygiene habits and dmft/DMFT, PI, malocclusion prevalence were calculated and compared to syndromic and non-syndromic population results found in literature. Discussions and conclusions - Guidelines of Special Care dentistry were indicated for each syndrome, in relation to each syndrome features and individual patient characteristics.

Analysis of cerebral and autonomic response to respiratory events in patients with Sleep Apnea Syndrome

The arousal scoring in Obstructive Sleep Apnea Syndrome (OSAS) is important to clarify the impact of the disease on sleep but the currently applied American Academy of Sleep Medicine (AASM) definition may underestimate the subtle alterations of sleep. The aims of the present study were to evaluate the impact of respiratory events on cortical and autonomic arousal response and to quantify the additional value of cyclic alternating pattern (CAP) and pulse wave amplitude (PWA) for a more accurate detection of respiratory events and sleep alterations in OSAS patients. A retrospective revision of 19 polysomnographic recordings of OSAS patients was carried out. Analysis was focused on quantification of apneas (AP), hypopneas (H) and flow limitation (FL) events, and on investigation of cerebral and autonomic activity. Only 41.1% of FL events analyzed in non rapid eye movement met the AASM rules for the definition of respiratory event-related arousal (RERA), while 75.5% of FL events ended with a CAP A phase. The dual response (EEG-PWA) was the most frequent response for all subtypes of respiratory event with a progressive reduction from AP to H and FL. 87.7% of respiratory events with EEG activation showed also a PWA drop and 53,4% of the respiratory events without EEG activation presented a PWA drop. The relationship between the respiratory events and the arousal response is more complex than that suggested by the international classification. In the estimation of the response to respiratory events, the CAP scoring and PWA analysis can offer more extensive information compared to the AASM rules. Our data confirm also that the application of PWA scoring improves the detection of respiratory events and could reduce the underestimation of OSAS severity compared to AASM arousal.

Probiotics for the prevention/treatment of human diseases and ecological study of the intestinal microbiota

The interest in human intestinal microbiota has increased in the last 20 years and significant advances have been achieved with regard to its composition and functions. The gut microbiota contributes to the maintenance of the host health status and, since alterations in the gut microbiota have been involved in the pathogenesis/progression of some diseases, several studies have focused on the manipulation of its composition. Probiotics are a strategy to maintain/restore the correct balance of gut microbial population and to prevent/treat diseases. The aim of this thesis was to explore the possibility of probiotic supplementation for the prevention/treatment of human diseases and the related study of the intestinal microbial environment. After reviewing studies concerning the use of Bifidobacterium breve as probiotic in paediatric diseases, the effectiveness of a probiotic formulation consisting of two strains of B. breve was assessed in paediatric subjects for the prevention or alleviation of gastrointestinal disorders, including coeliac disease and paediatric obesity. As the emerging role of gut microbiota in neurological diseases, the intestinal microbial environment in amyotrophic lateral sclerosis patients compared to healthy controls and the effects of a probiotic administration were examined. Considering the role of viruses in shaping gut microbiota, gut bacteriophages and bacterial community of preterm infants were investigated. The results evidenced differences in gut microbial composition of healthy controls and diseased subjects in coeliac and amyotrophic lateral sclerosis patients. The probiotic approach was effective in restoring the microbial composition in the former, whereas, in the latter, the influence was focused only on some microbial groups. The probiotic intervention was effective in improving the glyco-insulinemic profile in obese children and in preventing gastrointestinal disorders in healthy newborns. The study of the bacterial and phage composition in preterm infants suggested a transkingdom interplay between bacteria and viruses with a reciprocal influence on their composition.

Effects of glyphosate and Roundup upon mammalian gametes

The wide use of glyphosate-based herbicides (GBHs) has become a controversial issue due to the potential harmful effects on human health. Commercial formulations, among which Roundup is the most famous one, contain a number of adjuvants inside; most of these are patented and not publicly known, therefore, they can act differently from glyphosate alone and might strengthen its toxic effect. Our study is focused on GBHs reproductive toxicity with a special regard to glyphosate and Roundup impact on male and female mammalian gametes after exposure to concentrations ranging from the one recommended for agricultural use (0.1% Roundup, containing 360 µg/mL glyphosate) to 70-fold lower or more. Sperm quality analysis, either on boar and stallion, showed that Roundup has much more detrimental impact than glyphosate at equivalent concentrations on spermatozoa function and survival. Basing on our results, the toxic effect of these pesticides on spermatozoa may be linked to an impairment in mitochondrial activity and a subsequent decrease in ATP production and/or alterations in the redox balance, which impact cell motility and plasma membrane stability. Moreover, a different species sensitivity to GBHs may exists as high doses of glyphosate affected sperm quality only in boar and not in stallion; furthermore, Roundup had deleterious effects at lower doses in the first compared to the latter. With regard to female gametes, we found that glyphosate and Roundup exposure during IVM detrimentally affect the subsequent developmental ability of swine embryos, providing further evidence of their potential toxic effect on female reproductive system. In addition, Roundup altered steroidogenesis and increased oocyte ROS levels. Therefore, according to our results, we can conclude that GBHs exert a negative impact on both male and female gametes and that Roundup adjuvants enhance glyphosate toxic effects and/or are biologically active in their side-effect.

Neuroprotective role of nutraceutical and phytochemical components

Neurodegenerative diseases (NDs) are characterized by a multifactorial etiology, in which oxidative stress and inflammation are the main causative factors. For this reason, increasing attention is being paid to the characterization and the identification of nutraceuticals and phytochemicals with intrinsic pleiotropic activity. Moreover, in a Circular Economy perspective, these natural compounds can be obtained also from renewable resources derived from the food industry by-products and can be used for both preventive and therapeutic purposes. The aim of this PhD program was to identify nutraceuticals and phytochemicals, both as extracts and pure compounds, and obtained from both plant and renewable sources, which due to their antioxidant and anti-inflammatory properties, were able to counteract cellular and molecular alterations that characterize NDs. Their neuroprotective potential has been evaluated in an in vitro model of neuroinflammation (the LPS-activated BV-2 microglial cell line), and/or in an in vitro model of neuronal oxidative stress (the neuron-like SH-SY5Y cell line differentiated with retinoic acid and exposed to H2O2). Four different projects, although deeply linked by the aforementioned common goal, have been discussed in this thesis: 1_ Impact of phenolic profile of different cherry cultivars on the potential neuroprotective effect in SH-SY5Y cells. 2_Anti-inflammatory activities of Spilanthol-rich essential oil from Acmella oleracea (L.). 3_Study of the anti-inflammatory activity of novel tacrine derivatives with lipids extracted from cashew nutshell liquid. 4_Coffee Silverskin (CSS) and Spent Coffee Grounds (SCG): coffee industry by-products as a promising source of neuroprotective agents. In general, it is, therefore, possible to conclude that the natural compounds studied in this thesis have been proven, due to their antioxidant and/or anti-inflammatory properties, to be valid preventive and therapeutic strategies for the treatment of NDs, to improve the life quality of these patients and of the general population by preventing and combating the onset of these deleterious diseases.

Acquired and inherited cardiomyopathies: evaluation of cardiotoxic effects in preclinical models

Cardiomyopathies are a heterogeneous group of myocardial disorders defined by structural and functional alterations of the heart. These cardiac diseases can have both non-genetic and genetic origin. Nevertheless, a different etiology can trigger the same phenotype, as in the case of anthracycline-induced cardiotoxicity and desmin-related cardiomyopathy (DRM). Therefore, the aim of this study was to investigate the cellular mechanisms driving the development of these cardiotoxic conditions in in vitro models. Doxorubicin (DOX) is a commonly used antineoplastic drug for the treatment of a wide range of tumors. Besides, its clinical use is restricted because of dose-dependent cardiotoxicity. Our findings provided evidence that phospholipase C Beta 2 (PLCβ2) may have a critical role in DOX-induced cardiotoxicity in undifferentiated and differentiated H9c2 cell line. Interestingly, the results obtained revealed that cardiomyocytes are less sensitive to DOX, following the evaluation of cellular mechanisms such as: oxidative stress, apoptosis and cell proliferation. Nonetheless, the treatment induced a significant upregulation of PLCβ2 associated to morphological changes in both models, demonstrating the implication in a hypertrophic response. On the other hand, a hereditary DRM was associated to a missense mutation of aB crystallin (CRYAB), a chaperone protein involved in the regulation of the intermediate filament network. Since research has only been conducted on transgenic (TG) mice and neonatal rat cardiomyocytes, this study aimed at investigating cellular mechanisms triggered by CRYABR120G mutation in a hiPSC-derived DRM model. Our model confirmed the impairment of the cytoskeletal organization resulting in the formation of desmin and CRYAB aggregates and myofibril misalignment. Moreover, the missense mutation confirmed a hypertrophic cardiomyopathy phenotype, a feature of DRM patients, on cardiac engineered tissues. Lastly, these data obtained suggest that further research on PLCβ2 and CRYAB are needed to comprehend the molecular mechanisms behind the development of these 2 cardiac diseases.

Data-driven and data-oriented methods for materials science and technologies

The discovery of new materials and their functions has always been a fundamental component of technological progress. Nowadays, the quest for new materials is stronger than ever: sustainability, medicine, robotics and electronics are all key assets which depend on the ability to create specifically tailored materials. However, designing materials with desired properties is a difficult task, and the complexity of the discipline makes it difficult to identify general criteria. While scientists developed a set of best practices (often based on experience and expertise), this is still a trial-and-error process. This becomes even more complex when dealing with advanced functional materials. Their properties depend on structural and morphological features, which in turn depend on fabrication procedures and environment, and subtle alterations leads to dramatically different results. Because of this, materials modeling and design is one of the most prolific research fields. Many techniques and instruments are continuously developed to enable new possibilities, both in the experimental and computational realms. Scientists strive to enforce cutting-edge technologies in order to make progress. However, the field is strongly affected by unorganized file management, proliferation of custom data formats and storage procedures, both in experimental and computational research. Results are difficult to find, interpret and re-use, and a huge amount of time is spent interpreting and re-organizing data. This also strongly limit the application of data-driven and machine learning techniques. This work introduces possible solutions to the problems described above. Specifically, it talks about developing features for specific classes of advanced materials and use them to train machine learning models and accelerate computational predictions for molecular compounds; developing method for organizing non homogeneous materials data; automate the process of using devices simulations to train machine learning models; dealing with scattered experimental data and use them to discover new patterns.

Espressione dell'Enzima ad Azione Immunoregolatoria Indoleamina 2,3-Diossigenasi nella Leucemia Mieloide Acuta dell'Adulto: correlazioni Clinico-Biologiche

L’enzima IDO interviene nella via di degradazione del triptofano, essenziale per la vita cellulare; l’iperespressione di IDO favorisce la creazione di un microambiente immunotollerante. Nelle LAM IDO è funzionalmente attivo nelle cellule blastiche e determina l’acquisizione di un fenotipo regolatorio da parte delle cellule T alloreattive; l’espressione della proteina aumenta in modo consensuale con l’evoluzione clinica della patologia. Scopo della Tesi è indagare l’esistenza di una correlazione tra l’iperespressione di IDO da parte delle cellule leucemiche, le caratteristiche di rischio alla diagnosi e l’outcome dei pazienti. Sono stati esaminati 45 pazienti adulti affetti da LAM afferiti all’Istituto di Ematologia di Bologna. I pazienti sono stati stratificati a seconda di: età di insorgenza della leucemia, secondarietà a Mielodisplasia o radio chemioterapia, iperleucocitosi, citogenetica, biologia molecolare (sono state valutate le alterazioni a carico dei geni FLT3 ed NPM). I pazienti sono stati analizzati per l’espressione del gene IDO mediante RT-PCR, seguita da Western Blot, allo scopo di stabilire la presenza di una proteina attiva; successivamente si è proceduto a verificare l’esistenza di una correlazione tra l’espressione di IDO e le caratteristiche di rischio alla diagnosi per identificare una relazione tra l’espressione del gene ed un subset di pazienti a prognosi favorevole o sfavorevole. Dei 45 pazienti adulti affetti da LAM il 28,9% è risultato negativo per l’espressione di IDO, mentre il rimanente 71,1% è risultato positivo ed è stato suddiviso in tre ulteriori categorie, in base ai livelli di espressione. I dati non sembrano al momento suggerire l’esistenza di una correlazione tra l’espressione di IDO e le caratteristiche di rischio alla diagnosi. Nel gruppo di pazienti ad elevata espressione di IDO si riscontra un rate di resistenza alla chemioterapia di induzione più elevato, con una quota di pazienti resistenti pari al 71,4%, contro il 23,1% nel gruppo di pazienti IDO-negativi.

Valutazione del ruolo dell'espressione di IRS-1 nel differenziamento osteoblastico di cellule di osteosarcoma ed MSCs

L’osteosarcoma (OS) è il tumore primitivo dell’osso più comune in età pediatrica e adolescenziale. L’OS è stato recentemente riconsiderato come una patologia da de-differenziamento, legata all’interruzione del processo cui vanno incontro i precursori osteoblastici, quali le cellule staminali mesenchimali (MSCs), per trasformarsi in osteoblasti maturi. Il sistema IGF è coinvolto nella regolazione della proliferazione e del differenziamento di cellule di OS. IRS-1 è un mediatore critico di tale via di segnalazione e il suo livello di espressione modula il differenziamento di cellule ematopoietiche. Lo scopo di questa tesi è stato quello di definire il ruolo di IRS-1 nel differenziamento osteoblastico di MSCs e cellule di OS. Il potenziale differenziativo di cellule di OS umano e murino e di MSCs derivate da midollo osseo è stato valutato tramite Alizarin Red staining e Real Time-PCR. Dai dati ottenuti è emerso come i livelli di espressione di IRS-1 diminuiscano durante il differenziamento osteoblastico. Conseguentemente, i livelli di espressione di IRS-1 sono stati manipolati utilizzando shRNA per down-regolare l’espressione della proteina o un plasmide per sovra-esprimerla. Sia la down-regolazione sia la sovra-espressione di IRS-1 hanno inibito il differenziamento osteoblastico delle linee cellulari considerate. Allo scopo di valutare il contributo di IRS-1 nella via di segnalazione di IGF-1R è stato utilizzato l’inibitore di tale recettore, αIR-3. Anche in questo caso è stata osservata una riduzione della capacità differenziativa. L’inibitore del proteasoma MG-132 ha portato ad un aumento dei livelli di IRS-1, portando nuovamente all’inibizione del differenziamento osteoblastico e suggerendo che l’ubiquitinazione di questa proteina potrebbe avere un ruolo importante nel mantenimento di appropriati livelli di espressione di IRS-1. I risultati ottenuti indicano la criticità dei livelli di espressione di IRS-1 nella determinazione della capacità differenziativa sia di cellule di OS umano e murino, sia delle MSCs.

Advanced Techniques for Face Recognition under Challenging Environments

Automatically recognizing faces captured under uncontrolled environments has always been a challenging topic in the past decades. In this work, we investigate cohort score normalization that has been widely used in biometric verification as means to improve the robustness of face recognition under challenging environments. In particular, we introduce cohort score normalization into undersampled face recognition problem. Further, we develop an effective cohort normalization method specifically for the unconstrained face pair matching problem. Extensive experiments conducted on several well known face databases demonstrate the effectiveness of cohort normalization on these challenging scenarios. In addition, to give a proper understanding of cohort behavior, we study the impact of the number and quality of cohort samples on the normalization performance. The experimental results show that bigger cohort set size gives more stable and often better results to a point before the performance saturates. And cohort samples with different quality indeed produce different cohort normalization performance. Recognizing faces gone after alterations is another challenging problem for current face recognition algorithms. Face image alterations can be roughly classified into two categories: unintentional (e.g., geometrics transformations introduced by the acquisition devide) and intentional alterations (e.g., plastic surgery). We study the impact of these alterations on face recognition accuracy. Our results show that state-of-the-art algorithms are able to overcome limited digital alterations but are sensitive to more relevant modifications. Further, we develop two useful descriptors for detecting those alterations which can significantly affect the recognition performance. In the end, we propose to use the Structural Similarity (SSIM) quality map to detect and model variations due to plastic surgeries. Extensive experiments conducted on a plastic surgery face database demonstrate the potential of SSIM map for matching face images after surgeries.