Glia-Motoneuron dialogue in ALS onset and progression in SOD1G93A-mice model

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by the pro-gressive loss of motoneurons (MN). Increasing evidence points glial cells as key players for ALS onset and progression. Indeed, MN-glia signalling pathways involving either neuroprotection or inflammation are likely to be altered in ALS. We aimed to study the molecules related with glial function and/or reactivity by evaluating glial markers and hemichannels, mainly present in astrocytes. We also studied molecules involved in mi-croglia-MN dialogue (CXCR3/CCL21; CX3CR1/CX3CL1; MFG-E8), as well as proliferation (Ki-67) and inflammatory-related molecules (TLR2/4, NLRP3; IL-18) and alarming/calming signals (HMGB1/autotaxin). We used lumbar spinal cord (SC) homogenates from mice expressing a mutant human-SOD1 protein (mSOD1) at presymptomatic and late-symptomatic ALS stages. SJL (WT) mice at same ages were used as controls. We observed decreased expression of genes associated with astrocytic (GFAP and S100B) and microglial (CD11b) markers in mSOD1 at the presymptomatic phase, as well as diminished levels of gap junction components pannexin1 and connexin43 and expression of Ki-67 and decreased autotax-in. In addition, microglial-MN communication was negatively affected in mSOD1 mice as well as in-flammatory response. Interestingly, we observed astrocytic (S100B) and microglial (CD11b) reactivity, increased proliferation (Ki-67) and increased autotaxin expression in symptomatic mSOD1 mice. In-creased MN-microglial dialogue (CXCR3/CCL21; CX3CR1/CX3CL1; MFG-E8) and hemichannel activ-ity, namely connexin43 and pannexin1, were also observed in mSOD1 at the symptomatic phase, along with an elevated inflammatory response as indicated by increased levels of HMGB1 and NLRP3. Our results suggest that decreased autotaxin expression is a feature of the presymptomatic stage, and precede the network of pro-inflammatory-related symptomatic determinants, including HMGB1, CCL21, CX3CL1, and NLRP3. The identification of the molecules and signaling pathways that are dif-ferentially activated along ALS progression will contribute for a better design of therapeutic strategies for disease onset and progression.

Exposição profissional ao chumbo : análise da indução de efeitos genotóxicos

RESUMO - A exposição contínua a substâncias químicas tem consequências para a saúde humana, algumas das quais não estão ainda totalmente estabelecidas. A toxicologia ocupacional é uma área interdisciplinar que envolve conhecimentos de higiene e de medicina ocupacional, de epidemiologia e de toxicologia e que tem por principal objectivo prevenir a ocorrência de efeitos adversos decorrentes do ambiente ocupacional sendo um dos seus principais papéis fornecer o máximo de dados que possam contribuir para o conhecimento dos potenciais efeitos na saúde. O chumbo é um tóxico de características cumulativas que provoca na saúde efeitos principalmente sistémicos, ou seja, o efeito tóxico manifesta-se em locais afastados do contacto inicial que resultam essencialmente de exposições crónicas, resultantes de períodos de exposição mais ou menos longos ao metal (entre meses e anos). Pode interagir com diferentes órgãos e tecidos, ligando-se a moléculas e constituintes celulares. Uma vez que não possui qualquer função fisiológica, a presença do chumbo no organismo humano resulta numa série de efeitos prejudiciais que afectam diversos órgãos e sistemas. A toxicidade do chumbo manifesta-se em diversos órgãos e tecidos, nomeadamente no sistema hematopoiético, no sistema nervoso, no rim, no aparelho reprodutor, no sistema cardiovascular, no sistema endócrino e no sistema imunitário. Da interferência do chumbo com o funcionamento de alguns sistemas biológicos resultam um conjunto de alterações fundamentais ao nível dos processos de transporte através das membranas, da integridade estrutural e funcional das enzimas e de várias vias metabólicas, em especial da fosforilação oxidativa e da síntese do heme sendo os primeiros efeitos bioquímicos do chumbo detectados a partir de valores de plumbémia inferiores a 10 μg/dL. As medidas de higiene e segurança actualmente em vigor nos países desenvolvidos asseguram que os casos de intoxicação grave são cada vez menos frequentes. No entanto, o risco de exposição a nível ocupacional existe em todas as actividades que envolvem materiais que o contenham como as explorações mineiras, as fundições primária e secundária, a produção de baterias de chumbo ácido, a produção de vidro com pigmentos de chumbo, as soldaduras de reparação automóvel e a instrução de tiro. Desde 2006 o chumbo é considerado pela International Agency for Research on Cancer (IARC) uma substância carcinogénica do grupo 2A (provável carcinogénio para o ser humano). Considera-se, assim, que o chumbo tem, inequivocamente, capacidade de induzir cancro em animais experimentais mas que, embora haja fortes indícios de que os mecanismos que medeiam a carcinogénese desses compostos ocorrem no ser humano, os dados disponíveis ainda não podem assegurar essa relação. Com este estudo pretendeu-se contribuir para o conhecimento da toxicidade do chumbo através do estudo da exposição ao chumbo e da influência da susceptibilidade individual (em industrias sem co-exposição significativa a outros agentes conhecidos ou suspeitos de serem carcinogénicos). Pretendeu-se estudar o caso através de uma abordagem múltipla que permitisse relacionar diferentes tipos de marcadores biológicos uma vez que a monitorização biológica integra todas as possíveis vias de entrada no organismo (para além da via respiratória), eventuais exposições fora do contexto estritamente profissional assim como uma série de factores intrínsecos individuais (relacionados com modos de via, de natureza fisiológica e comportamentais). Sendo a co-exposição a outros compostos com propriedades genotóxicas e carcinogénicas uma questão difícil de tornear quando se quer avaliar o potencial genotóxico do chumbo em populações expostas, ocupacional ou ambientalmente este estudo tem a vantagem de ter sido efectuado em populações sem co-exposição conhecida a outras substâncias deste tipo, permitindo concluir sobre os efeitos resultantes apenas da exposição a chumbo na população humana, contribuindo para explicar algumas das aparentes inconsistências e contradições entre diferentes estudos sobre este tema. Os indicadores de exposição usados foram: indicadores de dose interna (doseamento de chumbo e de PPZ no sangue), indicadores de efeitos adversos no heme e genotóxicos (actividade da ALAD, teste do cometa e mutação em TCR) e indicadores de susceptibilidade (polimorfismos genéticos de ALAD e VDR) através de uma abordagem estatística de comparação directa de sub-grupos previamente definidos na população e da aplicação de um modelo de regressão múltipla. Este estudo revelou que os níveis de plumbémia na população portuguesa baixaram significativamente nos últimos 10 anos, tanto na população ocupacionalmente exposta como na população em geral e que a presença do genótipo B-B (do gene VDR) é preditiva das variações de plumbémia, quando comparada com o genótipo mais frequente na população, B-b; ao contrário, o genótipo b-b não aparenta ter influência em nenhum dos marcadores estudados. No que diz respeito a efeitos genotóxicos concluiu-se que estes não se manifestaram na população estudada, levando a concluir que nos níveis de exposição estudados, o chumbo não tem capacidade de induzir este tipo de efeitos per si levando ao reforço da hipótese, já levantada por outros autores, de que o mecanismo de genotoxicidade do chumbo seja essencialmente de promoção de processos de genotoxicidade desencadeados por outros agentes. A realização de estudos de efeitos genotóxicos e de stress oxidativo desenhados de forma a comparar grupos de trabalhadores expostos apenas a chumbo com grupos de trabalhadores com o mesmo nível de exposição a chumbo, mas com co-exposição a outros agentes reconhecidamente carcinogénicos poderá ajudar a aumentar o conhecimento deste efeito do chumbo na saúde humana.

Dissecting gastrointestinal dysfunction and inflammation in a “pre-motor” rodent model of Parkinson’s disease

Research on Parkinson’s disease (PD) has mainly focused on the degeneration of the dopaminergic neurons of nigro-striatal (NS) pathway; also, post-mortem studies have demonstrated that the noradrenergic and the serotonergic transmitter systems are also affected (Jellinger, 1999). Degeneration of these neuronal cell bodies is generally thought to start prior to the loss of dopaminergic neurons in the NS pathway and precedes the appearance of the motor symptoms that are the “hallmark” of PD. Gastrointestinal (GI) motility is often disturbed in PD, manifesting chiefly as impaired gastric emptying and constipation. These GI dysfunction symptoms may be the result of a loss in noradrenergic and serotonergic innervation. GI deficits were evaluated using an organ bath technique. Groups treated with different combinations of neurotoxins (6-OHDA alone, 6-OHDA + pCA or 6-OHDA + DSP-4) presented significant differences in gut contractility compared to control groups. Since a substantial body of literature suggests the presence of an inflammatory process in parkinsonian state (Whitton, 2007), changes in pro-inflammatory cytokines in the gut were assessed using a cytokine microarray. It has been found in this work that groups with a combined dopaminergic and noradrenergic lesion have a significant increase in both expressions of IL-13 and VEGF. IL-6 also shows a decrease in treatment groups; however this decrease did not reach statistical significance. The therapeutic value of Exendin-4 (EX-4) was evaluated. It has been previously demonstrated that EX-4, a glucagon-like peptide-1 receptor (GLP-1R) agonist, is neuroprotective in rodent models of PD (Harkavyi et al., 2008). In this thesis it has been found that EX-4 was able to reverse a decrease in gut contractility obtained through intracerebral bilateral 6-OHDA injection. Although more studies are required, EX-4 could be used as a possible therapy for the GI symptoms prominent in the early stages of PD.

Influence of Lean and Green on supply chain performance: an interpretive structural modelling model

This work aims to identify and rank a set of Lean and Green practices and supply chain performance measures on which managers should focus to achieve competitiveness and improve the performance of automotive supply chains. The identification of the contextual relationships among the suggested practices and measures, was performed through literature review. Their ranking was done by interviews with professionals from the automotive industry and academics with wide knowledge on the subject. The methodology of interpretive structural modelling (ISM) is a useful methodology to identify inter relationships among Lean and Green practices and supply chain performance measures and to support the evaluation of automotive supply chain performance. Using the ISM methodology, the variables under study were clustered according to their driving power and dependence power. The ISM methodology was proposed to be used in this work. The model intends to provide a better understanding of the variables that have more influence (driving variables), the others and those which are most influenced (dependent variables) by others. The information provided by this model is strategic for managers who can use it to identify which variables they should focus on in order to have competitive supply chains.

Integrated data model and DSL modifications

Companies are increasingly more and more dependent on distributed web-based software systems to support their businesses. This increases the need to maintain and extend software systems with up-to-date new features. Thus, the development process to introduce new features usually needs to be swift and agile, and the supporting software evolution process needs to be safe, fast, and efficient. However, this is usually a difficult and challenging task for a developer due to the lack of support offered by programming environments, frameworks, and database management systems. Changes needed at the code level, database model, and the actual data contained in the database must be planned and developed together and executed in a synchronized way. Even under a careful development discipline, the impact of changing an application data model is hard to predict. The lifetime of an application comprises changes and updates designed and tested using data, which is usually far from the real, production, data. So, coding DDL and DML SQL scripts to update database schema and data, is the usual (and hard) approach taken by developers. Such manual approach is error prone and disconnected from the real data in production, because developers may not know the exact impact of their changes. This work aims to improve the maintenance process in the context of Agile Platform by Outsystems. Our goal is to design and implement new data-model evolution features that ensure a safe support for change and a sound migration process. Our solution includes impact analysis mechanisms targeting the data model and the data itself. This provides, to developers, a safe, simple, and guided evolution process.

Enhancement of an implemented rating model and impact on existing risk management processes: A hands-on approach from financial supplier risk management within the automotive industry

The purpose of this paper is to conduct a methodical drawback analysis of a financial supplier risk management approach which is currently implemented in the automotive industry. Based on identified methodical flaws, the risk assessment model is further developed by introducing a malus system which incorporates hidden risks into the model and by revising the derivation of the most central risk measure in the current model. Both methodical changes lead to significant enhancements in terms of risk assessment accuracy, supplier identification and workload efficiency.

How to optimize Lipton’s business model in order to stimulate tea consumption in Portugal and increase Lipton Leaf tea market share?: The importance of distribution and sales channels management in a B2B2C market

Field Lab Entrepreneurial Innovative Ventures

Improvement of Lipton’s business model through wholesalers and traditional supermarkets channel

Field Lab in Entrepreneurial Innovative Ventures

A SARIMA forecasting model to predict the number of cases of dengue in Campinas, State of São Paulo, Brazil

INTRODUCTION: Forecasting dengue cases in a population by using time-series models can provide useful information that can be used to facilitate the planning of public health interventions. The objective of this article was to develop a forecasting model for dengue incidence in Campinas, southeast Brazil, considering the Box-Jenkins modeling approach. METHODS: The forecasting model for dengue incidence was performed with R software using the seasonal autoregressive integrated moving average (SARIMA) model. We fitted a model based on the reported monthly incidence of dengue from 1998 to 2008, and we validated the model using the data collected between January and December of 2009. RESULTS: SARIMA (2,1,2) (1,1,1)12 was the model with the best fit for data. This model indicated that the number of dengue cases in a given month can be estimated by the number of dengue cases occurring one, two and twelve months prior. The predicted values for 2009 are relatively close to the observed values. CONCLUSIONS: The results of this article indicate that SARIMA models are useful tools for monitoring dengue incidence. We also observe that the SARIMA model is capable of representing with relative precision the number of cases in a next year.

Molecular characterization of Trypanosoma cruzi Mexican strains and their behavior in the mouse experimental model

INTRODUCTION: For a long time, the importance of Chagas disease in Mexico, where many regarded it as an exotic malady, was questioned. Considering the great genetic diversity among isolates of Trypanosoma cruzi, the importance of this biological characterization, and the paucity of information on the clinical and biological aspects of Chagas disease in Mexico, this study aimed to identify the molecular and biological characterization of Trypanosoma cruzi isolates from different endemic areas of this country, especially of the State of Jalisco. METHODS: Eight Mexican Trypanosoma cruzi strains were biologically and genetically characterized (PCR specific for Trypanosoma cruzi, multiplex-PCR, amplification of space no transcript of the genes of the mini-exon, amplification of polymorphic regions of the mini-exon, classification by amplification of intergenic regions of the spliced leader genes, RAPD - (random amplified polymorphic DNA). RESULTS: Two profiles of parasitaemia were observed, patent (peak parasitaemia of 4.6×10(6) to 10(7) parasites/mL) and subpatent. In addition, all isolates were able to infect 100% of the animals. The isolates mainly displayed tropism for striated (cardiac and skeletal) muscle. PCR amplification of the mini-exon gene classified the eight strains as TcI. The RAPD technique revealed intraspecies variation among isolates, distinguishing strains isolated from humans and triatomines and according to geographic origin. CONCLUSIONS: The Mexican T. cruzi strains are myotrophic and belong to group TcI.

A model to screen and improve business potential of micro and small enterprises in developing countries: Evidence from the Island of Mozambique

Programmes supporting micro and small enterprises in developing countries have been showing that capital is not enough to allow business success: survival and growth. Literature does not provide comprehensive and practical tool to support business development in this context, but allowed the collection of forty-nine success variables that were studied in a sample of successful and unsuccessful businesses in the Island of Mozambique to discover what were the key factors affecting those businesses’ performance. Empirical data gave the insights for the development of a model to screen and improve business potential of micro and small enterprises in this context.

Automated quantitative analysis of MCC-IMS spectra

Ion Mobility Spectrometry coupled with Multi Capillary Columns (MCC -IMS) is a fast analytical technique working at atmospheric pressure with high sensitivity and selectivity making it suitable for the analysis of complex biological matrices. MCC-IMS analysis generates its information through a 3D spectrum with peaks, corresponding to each of the substances detected, providing quantitative and qualitative information. Sometimes peaks of different substances overlap, making the quantification of substances present in the biological matrices a difficult process. In the present work we use peaks of isoprene and acetone as a model for this problem. These two volatile organic compounds (VOCs) that when detected by MCC-IMS produce two overlapping peaks. In this work it’s proposed an algorithm to identify and quantify these two peaks. This algorithm uses image processing techniques to treat the spectra and to detect the position of the peaks, and then fits the data to a custom model in order to separate the peaks. Once the peaks are separated it calculates the contribution of each peak to the data.

Toyota RAV4 model year marketing plan for the U.K

NSBE - UNL

Exporting a model of integrated disease management: A cross-case study analysis and application to Associação Protectora dos Diabéticos de Portugal

Although literature is lacking in the topic of internationalization of services, we manage to apply both the Uppsala model and the Eclectic Theory to the healthcare service. A cross-case study analysis with three international hospitals is done in order to define an internationalization pattern and conditions for a successful process. This is then applied to Associação Protectora dos Diabéticos de Portugal with the purpose of defining an internationalization strategy to the Association.

Credit default swap (CDS) prediction model & trading strategy

This project focuses on the study of different explanatory models for the behavior of CDS security, such as Fixed-Effect Model, GLS Random-Effect Model, Pooled OLS and Quantile Regression Model. After determining the best fitness model, trading strategies with long and short positions in CDS have been developed. Due to some specifications of CDS, I conclude that the quantile regression is the most efficient model to estimate the data. The P&L and Sharpe Ratio of the strategy are analyzed using a backtesting analogy, where I conclude that, mainly for non-financial companies, the model allows traders to take advantage of and profit from arbitrages.