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Paola Rampelotto Ziani,Jacson Gabriel Feiten,Jé,ferson Ferraz Goularte,Rafael Colombo,Bá,rbara Antqueviezc,Luiza Paul Gé,a,Adriane Ribeiro Rosa 대한정신약물학회 2022 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.20 No.2
Bipolar disorder (BD) is one of the most disabling diseases characterized by severe humor fluctuation. It is accompanied by cognitive and functional impairment in addiction to high suicide rates. BD is often underdiagnosed and treated incorrectly because many of the reported symptoms are not exclusive to the disorder. Once the diagnosis is exclusively clinical, it is not possible to state precisely. From that, proteomic approaches were used to identify, in a large scale, all proteins involved in cellular or tissue processes. This review aggregate data from blood proteomes, by using protein association network, of subjects with BD and healthy controls to suggest dysfunctional molecular pathways involved in disease. Original articles containing proteomic analysis were searched in PubMed. Seven studies were selected and data were extracted for posterior analysis. A protein-protein interaction network was created by STRING database. A final set of proteins in this network were employed as input in ClueGO and, the main biological process was visualized using R package pathview. The analysis revealed proteins associated with many biological processes, including growth and endocrine regulation, iron transportation, protease inhibition, protection against pathogens and cholesterol transport. Moreover, pathway analysis indicated the association of uncovered proteins with two main metabolic pathways: complement system and coagulation cascade. Thus, a better understanding on the pathophysiology of psychiatric disorders and the identification of potential biomarker candidates are essential to improve diagnostic, prognostic and design pharmacological strategies.
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Fabricio A. Souza,Igor A. Magno,Marlo O. Costa,André S. Barros,Jacson M. Nascimento,Diego B. Carvalho,Otávio L. Rocha 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.1
Aluminum casting alloys have properties which are of great industrial interest, such as low density, good corrosion resistance,high thermal and electrical conductivities, good combination of mechanical properties, good workability in machiningprocesses and mechanical forming. Currently, these alloys are produced in various systems and dozens of compositions. Inthis investigation, a mutual interaction of thermal parameters, scale of the dendritic microstructure, intermetallic compounds(IMCs), microhardness and tensile properties/fracture characteristics of a casting Al–7wt%Si–3wt%Cu–0.3wt%Fe alloywas analyzed. Solidification experiments were developed using a furnace that promoted horizontal growth under transientheat flow conditions. Then, growth rate (VL), cooling rate (CR), and local solidification time (tSL) were determined frommeasured temperature profiles. Secondary dendritic spacings (λ2), Si particles, Fe-rich and Al2Cuintermetallic phases werecharacterized by optical and SEM microscopy, as well as the area mapping and point-wise EDS microanalysis. Hence, theinterrelations involving Vickers microhardness (HV), yield strength (σYS), ultimate tensile strength (σUTS) and elongation(E%) with microstructural features were evaluated by mathematical equations. IMCs as well as morphologies of Si were alsoanalyzed in the fracture regions. In addition, the experimental growth law of λ2 = f(tSL) proposed in this study was comparedwith a predictive theoretical model reported in the literature for multicomponent alloys. It was observed that areas that tendto grow faster (lowest λ2 values) were associated with the highest σUTS and E% values, while HV and σYS properties were notaffected by the thermal and microstructural parameters (CR and λ2). In addition, less extensive cleavage planes accompaniedby small dimples in were observed in fractured samples with lower λ2 values.
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