Using peptidomics and machine learning techniques to predict mortality of patients with septic shock

The main objective of this thesis is to analyse peptidomics data and evaluate its use in the mortality prediction of patients in septic shock. This is the first time this peptidome data has been analysed in this depth. A machine-learning model is tested with 100% classification accuracy

Metabolomis and lipidomic of both Zika and Dengue virus infectious processes; from mosquito to the patient

Orientador: Rodrigo Ramos CatharinoTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Ciências MédicasResumo: O vírus da Zika (ZIKV) é um arbovírus que apresenta um papel importante no aumento de nascimentos de bebês microcefálicos e em adultos tem sido associado à síndrome de Guillain¿Barré, tendo se mostrado como de grande preocupação para a saúde pública. O vírus da Dengue (DENV) se apresenta endêmico no Brasil, se caracterizando, assim como o ZIKV, por provocar infecções autolimitada na grande maioria dos pacientes, sendo de grande importância na saúde pública pelas perdas econômicas em razão da diminuição da produtividade nas populações atingidas e sobre tudo na forma hemorrágica da doença que pode levar à morte. Esses dois arbovírus se adaptaram a mosquitos urbanos facilitando a ocorrência de graves epidemias de Dengue e Zika uma vez que o A. aegypti (principal vetor) apresenta discordância gonotrófica, o que o torna um excelente vetor. De uma forma geral as doenças transmitidas por mosquitos têm uma tradição de serem negligenciadas, existindo lacunas de informações biomédicas importantes como, o mecanismo de infecção no mosquito, mecanismo de infecção viral no homem e o diagnostico laboratorial. Em paralelo, a metabolômica e a lipidômica são metodologias de estudo estratégicas e revolucionárias que auxiliam na determinação de biomarcadores importantes no controle de infecções e dada a emergência global para a saúde pública e o potencial revolucionário das novas "ômicas"; que nos permite estudar mecanismos da infecção na forma adulta dos vetores, no homem e se mostra muito importante no diagnóstico. Dado em contexto em tela, este projeto visou estudar as duas arboviroses mais importantes atualmente no Brasil: o ZIKV, propondo busca por biomarcadores para identificar e entender o mecanismo da infecção no mosquito (Objetivo 1) e no Homem (Objetivo 2) para seu melhor controle e desenvolvimento de um método diagnóstico para o ZIKV através de plataformas "ômicas" (Objetivo 3). Para o DENV o objetivo proposto foi a busca de biomarcadores para as alterações provocadas pelo DENV em pacientes que apresentaram a Dengue hemorrágica (Objetivo 4)Abstract: Zika virus (ZIKV) is an arbovirus that plays an important role in increasing births of microcephalic babies and in adults and has been associated with Guillain-Barré syndrome and it has been of major public health concern. Dengue virus (DENV) is endemic in Brazil and, like ZIKV, is characterized by causing self-limiting infections in the vast majority of patients, being of great importance in public health due to economic losses due to decreased productivity in affected populations and above all in the hemorrhagic form of the disease that can lead to death. These two arboviruses have adapted to urban mosquitoes facilitating the occurrence of severe epidemics of Dengue and Zika since the A. aegypti (main vector) presents with gonotrophic discordance, which makes it an excellent vector. In general, mosquito-borne diseases have a tradition of being neglected, and there are gaps in important biomedical information such as mosquito infection mechanism, viral infection mechanism in man, and laboratory diagnosis. In parallel, metabolomics and lipidomics are strategic and revolutionary study methodologies that aid in the determination of important biomarkers in infection control and the global emergence of public health and the revolutionary potential of the new "omics"; which allows us to study mechanisms of infection in the adult form of the vectors in humans and is very important in the diagnosis. Given in context on screen, this project aimed to study the two most important arboviruses currently in Brazil: the ZIKV, proposing a search for biomarkers to identify and understand the mechanism of infection in the mosquito (Goal 1) and human (Goal 2) for its better disease control and development of a diagnostic method for ZIKV through "omic" platforms (Goal 3). For DENV the proposed goal was to search for biomarkers for DENV alterations in patients presenting with hemorrhagic Dengue (Goal 4)DoutoradoFisiopatologia MédicaDoutor em Ciências16/17066-2CAPESFAPES

Renal Failure

The book "Renal Failure - The Facts" consists of some facts about diagnosis, etiopathogenis and treatment of acute and chronic renal failure. Acute, as well as chronic renal failure is great medical problems and their treatment is a burden for the budget of each government. The purpose of the chapters is to present some important issues of diagnosis and causes of AKI, as well as caused by snakes and arthropods, after cardiac surgery, as well as some therapeutic achievements in AKI. Well presented are the psychological condition in patients on haemodialysis, as well as the treatment of diabetic uremics. The book is aimed at clinicians with a special interest in nephrology, but it should also prove to be a valuable resource for any generalists who encounter a nephrological problems in their day-to-day practice

Schizophrenia and apolipoprotein: a 10-year bibliometric analysis

Introduction: Schizophrenia is a chronic and complex mental disorder that significantly impacts one’s quality of life. The expansion of proteomic studies over the past decade offers a better understanding of the underlying pathophysiology of schizophrenia and the formulation of a protein targeted therapeutic approach. This study aimed to conduct a bibliometric analysis on the role of apolipoprotein as a biomarker in schizophrenia to provide a summary of its chronicle, present state and to identify potential future research directions. Materials and method: Publications on the association between schizophrenia and apolipoprotein were retrieved from the Scopus database using the search terms “schizophrenia” and “apolipoprotein”. Only original or review articles in English published between 2013 and 2023 were included. The bibliometric analysis was carried out using the R software packages Bibliometrix and Biblioshiny. Results: The filtered search identified 89 documents (80 original articles and 9 review articles) that generally showed an increasing trend with an annual growth rate of 10.31 percent. There were 580 authors that contributed to this field, with an average of eight to nine people co-authoring each paper. Altogether, 64 journals contributed to this field, with Neuropsychiatric Disease and Treatment, Frontiers in Psychiatry, and Translational Psychiatry being the three most productive. China leads in scientific production, followed by the Netherlands and the United States. In terms of country collaboration, the United Kingdom and Germany had the highest level of collaboration. The important keywords in the clusters were schizophrenia, biomarkers, proteomics, apolipoprotein E, antipsychotic drugs, bipolar disorder, and obesity. According to the thematic evolution analysis, apolipoprotein E has been frequently discussed and associated with schizophrenia and antipsychotic drugs. Conclusion: The association between schizophrenia and apolipoprotein has grown in significance over the past decade. Our findings highlight the potential role of apolipoprotein E in the establishment of schizophrenia and warrant further exploration

Drug discovery and computational strategies in the multitarget drugs era

The pharmaceutical industry is increasingly joining chemoinformatics in the search for the development of new drugs to be used in the treatment of diseases. These computational studies have the advantage of being less expensive and optimize the study time, and thus the interest in this area is increasing. Among the techniques used is the development of multitarget directed ligands (MTDLs), which has become an ascending technique, mainly due to the improvement in the quality of treatment involving several drugs. Multitarget therapy is more effective than traditional drug therapy that emphasizes maximum selectivity for a single target. In this review a multitarget drug survey was carried out as a promising strategy in several important diseases: neglected diseases, neurodegenerative diseases, AIDS, and cancer. In addition, we discuss Computer-Aided Drug Design (CADD) techniques as a tool in the projection of multitarget compounds against these diseases

New Insights into Molecular Mechanisms Underlying Neurodegenerative Disorders

Neurodegenerative disorders encompass a broad range of sporadic and/or familial debilitating conditions characterized by the progressive dysfunction and loss of selective neuronal populations, determining different clinical phenotypes. Emerging research data indicate an interplay of genetic factors and epigenetic mechanisms underlying neurodegenerative processes, which lead to increased prevalence of neurodegenerative disorders. In concert with the constant increase in the aging population, neurodegenerative disorders currently represent a major challenge to public health worldwide. Despite recent advances in clinical and preclinical research, the pathogenesis of these disorders still remains poorly understood, without effective treatments being available to halt the neurodegenerative processes, but rather aiming at relieving symptoms. Therefore, a critical evaluation of current research data and in-depth understanding of the molecular mechanisms that lead to neurodegeneration are crucial in order to identify potential therapeutic targets that can pave the way to the development of novel and promising therapies. This Special Issue is focused on novel molecular data in the field of neurodegeneration that associate with the onset and progression of neurodegenerative diseases. We are particularly interested in original articles and reviews that provide new insights into the main molecular pathogenic mechanisms underlying neurodegenerative disorders, aiming to identify potential biomarkers and novel therapeutic strategies

Faculty Publications and Creative Works 2004

Faculty Publications & Creative Works is an annual compendium of scholarly and creative activities of University of New Mexico faculty during the noted calendar year. Published by the Office of the Vice President for Research and Economic Development, it serves to illustrate the robust and active intellectual pursuits conducted by the faculty in support of teaching and research at UNM