New approach in the diagnosis and therapy of hyperphenylalaninemia

Background. Phenylketonuria is the most prevalent inborn error of aminoacid metabolism. Is an autosomal recessive disorder. It results from mutations in the phenylalanine hydroxilase (PAH) gene. Phenotypes can vary from mild hyperphenylalaninemia to a severe phenylketonuria wich, if untreated, results in severe mental retardation. Thanks to neonatal screening programmes, early detection and promp dietetic intervention (phenylalanine restricted diet lifelong) has allowed to avoid neurocognitive complications. Recently, a new therapy is become widely used: the oral supplementation with the PAH cofactor (BH4), wich can alleviate the diet burden. Genotype-phenotype correlation is a reliable tool to predict metabolic phenotype in order to establish a better tailored diet and to assess the potential responsiveness to BH4 therapy. Aim Molecular analysis of the PAH gene, evaluation of genotype-phenotype correlation and prediction of BH4 responsiveness in a group of HPA patients living in Emilia Romagna. Patients and methods. We studied 48 patients affected by PAH deficiency in regular follow-up to our Metabolic Centre. We performed the molecular analysis of these patients using genomic DNA extracted from peripheral blood samples Results. We obtained a full genotipic characterization of 46 patients. We found 87 mutant alleles and 35 different mutations, being the most frequent IVS10-11 G>A (19.3%), R261Q (9.1%), R158Q (9.1%), R408Q (6.8%) and A403V (5.7%), including 2 new ones (L287, N223Y) ever described previously. Notably, we found 15 mutations already identified in BH4-responsive patients, according to the literature. We found 42 different genotipic combinations, most of them in single patients and involving a BH4-responsive mutation. Conclusion. BH4 responsiveness is shown by a consistent number of PAH deficient hyperphenylalaninemic patients. This treatment, combined with a less restricted diet or as monotherapy, can reduce nutritional complications and improve the quality of life of these patients.

Development of a new galaxy classification technique and its application to the zCOSMOS survey

The purpose of this Thesis is to develop a robust and powerful method to classify galaxies from large surveys, in order to establish and confirm the connections between the principal observational parameters of the galaxies (spectral features, colours, morphological indices), and help unveil the evolution of these parameters from $z \sim 1$ to the local Universe. Within the framework of zCOSMOS-bright survey, and making use of its large database of objects ($\sim 10\,000$ galaxies in the redshift range $0 < z \lesssim 1.2$) and its great reliability in redshift and spectral properties determinations, first we adopt and extend the \emph{classification cube method}, as developed by Mignoli et al. (2009), to exploit the bimodal properties of galaxies (spectral, photometric and morphologic) separately, and then combining together these three subclassifications. We use this classification method as a test for a newly devised statistical classification, based on Principal Component Analysis and Unsupervised Fuzzy Partition clustering method (PCA+UFP), which is able to define the galaxy population exploiting their natural global bimodality, considering simultaneously up to 8 different properties. The PCA+UFP analysis is a very powerful and robust tool to probe the nature and the evolution of galaxies in a survey. It allows to define with less uncertainties the classification of galaxies, adding the flexibility to be adapted to different parameters: being a fuzzy classification it avoids the problems due to a hard classification, such as the classification cube presented in the first part of the article. The PCA+UFP method can be easily applied to different datasets: it does not rely on the nature of the data and for this reason it can be successfully employed with others observables (magnitudes, colours) or derived properties (masses, luminosities, SFRs, etc.). The agreement between the two classification cluster definitions is very high. ``Early'' and ``late'' type galaxies are well defined by the spectral, photometric and morphological properties, both considering them in a separate way and then combining the classifications (classification cube) and treating them as a whole (PCA+UFP cluster analysis). Differences arise in the definition of outliers: the classification cube is much more sensitive to single measurement errors or misclassifications in one property than the PCA+UFP cluster analysis, in which errors are ``averaged out'' during the process. This method allowed us to behold the \emph{downsizing} effect taking place in the PC spaces: the migration between the blue cloud towards the red clump happens at higher redshifts for galaxies of larger mass. The determination of $M_{\mathrm{cross}}$ the transition mass is in significant agreement with others values in literature.

Thermochronological evolution of the Eastern Pontides and the Eastern Anatolian Plateau and NW Lesser Caucasus (Turkey, Georgia, Armenia)

The analysis of apatite fission tracks is applied to the study of the syn- and post-collisional thermochronological evolution of a vast area that includes the Eastern Pontides, their continuation in the Lesser Caucasus of Georgia (Adjara-Trialeti zone) and northern Armenia, and the eastern Anatolian Plateau. The resulting database is then integrated with the data presented by Okay et al. (2010) for the Bitlis Pütürge Massif, i.e. the western portion of the Bitlis-Zagros collision zone between Arabia and Eurasia. The mid-Miocene exhumation episode along the Black Sea coast and Lesser Caucasus of Armenia documented in this dissertation mirrors the age of collision between the Eurasian and Arabian plates along the Bitlis suture zone. We argue that tectonic stresses generated along the Bitlis collision zone were transmitted northward across eastern Anatolia and focused (i) at the rheological boundary between the Anatolian continental lithosphere and the (quasi)oceanic lithosphere of the Black Sea, and (ii) along major pre-existing discontinuities like the Sevan-Akera suture zone.The integration of both present-day crustal dynamics (GPS-derived kinematics and distribution of seismicity) and thermochronological data presented in this paper provides a comparison between short- and long-term deformation patterns for the entire eastern Anatolia-Transcaucasian region. Two successive stages of Neogene deformation of the northern foreland of the Arabia-Eurasia collision zone can be inferred. (i) Early and Middle Miocene: continental deformation was concentrated along the Arabia-Eurasia (Bitlis) collision zone but tectonic stress was also transferred northward across eastern Anatolia, focusing along the eastern Black Sea continent-ocean rheological transition and along major pre-existing structural discontinuities. (ii) Since Late-Middle Miocene time the westward translation of Anatolia and the activation of the North and Eastern Anatolian Fault systems have reduced efficient northward stress transfer.