Développement d'une technique optique ayant pour but l'analyse de procédés en ligne de comprimés pharmaceutiques

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal

Supervivencia en pacientes con trasplante hepático realizado en la Fundación Cardioinfantil entre 2005 y 2013

Introducción: El trasplante hepático es la terapia de elección para los pacientes con enfermedad hepática terminal, logrando mejorar su expectativa y calidad de vida, de acuerdo a estudios realizados en otros países. En la Fundación Cardioinfantil – Instituto de Cardiología (FCI-IC) se han realizado 332 trasplantes hepáticos hasta el 2014, pero no se conoce la supervivencia y los factores pronósticos propios de los pacientes intervenidos. Objetivo Principal: Estimar la supervivencia a 1, 3 y 5 años e identificar los principales factores pronósticos de los pacientes a quienes se les realizó trasplante hepático en el periodo 2005-2013 en la FCI-IC. Método: Estudio observacional y retrospectivo, basado en revisión de historias clínicas de los pacientes adultos a quienes se les realizó trasplante hepático en el periodo 2005-2013 en la FCI-IC. Resultados: La supervivencia al año fue de 90.91% (IC95% 86.40-93.98), a los 3 años 83.64% (IC95% 77.89-88.01) y a los 5 años de 79.18% (IC95% 72.54-84.39). Los principales factores pronósticos fueron el antecedente de ascitis (HR 2.449, IC 1.252 – 4.792), la edad del donante (HR 1.040, IC 1.009 – 1.071) y el receptor (HR 1.037, IC 1.014 – 1.060). Se encontró una mayor supervivencia en los pacientes con cirrosis alcohólica (HR 0.099, IC 0.021 – 0.467). Conclusiones: El estudio mostró una supervivencia mayor a la reportada en estudios realizados en Estados Unidos (67.4-73.0% a los 5 años) y España (73,3% a los 3 años) y similar a la de Chile (80.0% a los 5 años). Cabe resaltar que estos estudios incluyeron series más grandes de pacientes.

Hydrophilic interaction chromatography–mass spectrometry for anionic metabolic profiling of urine from antibiotic-treated rats

Hydrophilic interaction chromatography–mass spectrometry (HILIC–MS) was used for anionic metabolic profiling of urine from antibiotic-treated rats to study microbial–host co-metabolism. Rats were treated with the antibiotics penicillin G and streptomycin sulfate for four or eight days and compared to a control group. Urine samples were collected at day zero, four and eight, and analyzed by HILIC–MS. Multivariate data analysis was applied to the urinary metabolic profiles to identify biochemical variation between the treatment groups. Principal component analysis found a clear distinction between those animals receiving antibiotics and the control animals, with twenty-nine discriminatory compounds of which twenty were down-regulated and nine up-regulated upon treatment. In the treatment group receiving antibiotics for four days, a recovery effect was observed for seven compounds after cessation of antibiotic administration. Thirteen discriminatory compounds could be putatively identified based on their accurate mass, including aconitic acid, benzenediol sulfate, ferulic acid sulfate, hippuric acid, indoxyl sulfate, penicillin G, phenol and vanillin 4-sulfate. The rat urine samples had previously been analyzed by capillary electrophoresis (CE) with MS detection and proton nuclear magnetic resonance (1H NMR) spectroscopy. Using CE–MS and 1H NMR spectroscopy seventeen and twenty-five discriminatory compounds were found, respectively. Both hippuric acid and indoxyl sulfate were detected across all three platforms. Additionally, eight compounds were observed with both HILIC–MS and CE–MS. Overall, HILIC–MS appears to be highly complementary to CE–MS and 1H NMR spectroscopy, identifying additional compounds that discriminate the urine samples from antibiotic-treated and control rats.

Metabolomic assessment with CE-MS of the nutraceutical effect of Cystoseira spp extracts in an animal model

There is a need of scientific evidence of claimed nutraceutical effects, but also there is a social movement towards the use of natural products and among them algae are seen as rich resources. Within this scenario, the development of methodology for rapid and reliable assessment of markers of efficiency and security of these extracts is necessary. The rat treated with streptozotocin has been proposed as the most appropriate model of systemic oxidative stress for studying antioxidant therapies. Cystoseira is a brown alga containing fucoxanthin and other carothenes whose pressure-assisted extracts were assayed to discover a possible beneficial effect on complications related to diabetes evolution in an acute but short-term model. Urine was selected as the sample and CE-TOF-MS as the analytical technique to obtain the fingerprints in a non-target metabolomic approach. Multivariate data analysis revealed a good clustering of the groups and permitted the putative assignment of compounds statistically significant in the classification. Interestingly a group of compounds associated to lysine glycation and cleavage from proteins was found to be increased in diabetic animals receiving vehicle as compared to control animals receiving vehicle (N6, N6, N6-trimethyl-L-lysine, N-methylnicotinamide, galactosylhydroxylysine, L-carnitine, N6-acetyl-N6-hydroxylysine, fructose-lysine, pipecolic acid, urocanic acid, amino-isobutanoate, formylisoglutamine. Fructoselysine significantly decreased after the treatment changing from a 24% increase to a 19% decrease. CE-MS fingerprinting of urine has provided a group of compounds different to those detected with other techniques and therefore proves the necessity of a cross-platform analysis to obtain a broad view of biological samples.

Estudo sobre a mortalidade e sobrevivência de micro e pequenas empresas natalenses e seus impactos nas políticas públicas pró-empreendedorismo

The principal purpose of this research was to investigate discriminant factors of survival and failure of micro and small businesses, and the impacts of these factors in the public politics for entrepreneurship in the State of Rio Grande do Norte. The data were ceded by SEBRAE/RN and the Commercial Committee of the Rio Grande do Norte State and it included the businesses that were registered in 2000, 2001 and 2002. According to the theoretical framework 3 groups of factors were defined Business Financial Structure, Entrepreneurial Preparation and Entrepreneurial Behavior , and the factors were studied in order to determine whether they are discriminant or not of the survival and business failure. A quantitative research was applied and advanced statistical techniques were used multivariate data analysis , beginning with the factorial analysis and after using the discriminant analysis. As a result, canonical discriminant functions were found and they partially explained the survival and business failure in terms of the factors and groups of factors. The analysis also permitted the evaluation of the public politics for entrepreneurship and it was verified, according to the view of the entrepreneurs, that these politics were weakly effective to avoid business failure. Some changes in the referred politics were suggested based on the most significant factors found.

Fluorescence spectroscopy for the detection of tongue carcinoma - validation in an animal model

The efficacy of fluorescence spectroscopy to detect squamous cell carcinoma is evaluated in an animal model following laser excitation at 442 and 532 nm. Lesions are chemically induced with a topical DMBA application at the left lateral tongue of Golden Syrian hamsters. The animals are investigated every 2 weeks after the 4th week of induction until a total of 26 weeks. The right lateral tongue of each animal is considered as a control site (normal contralateral tissue) and the induced lesions are analyzed as a set of points covering the entire clinically detectable area. Based on fluorescence spectral differences, four indices are determined to discriminate normal and carcinoma tissues, based on intraspectral analysis. The spectral data are also analyzed using a multivariate data analysis and the results are compared with histology as the diagnostic gold standard. The best result achieved is for blue excitation using the KNN (K-nearest neighbor, a interspectral analysis) algorithm with a sensitivity of 95.7% and a specificity of 91.6%. These high indices indicate that fluorescence spectroscopy may constitute a fast noninvasive auxiliary tool for diagnostic of cancer within the oral cavity. (C) 2008 Society of Photo-Optical Instrumentation Engineers.

Utilização de componentes principais para analisar o comportamento do cafeeiro a pleno sol e sombreado

The aim of this work is to describe the behavior of coffee (Coffea arabica L.) grown for nine years under organic management systems in full sun and shaded by banana trees (Musa sp.) and Erythrina verna Vell., in Valença, RJ. We performed a joint evaluation of vegetative characteristics, nutritional content and yield, with the aid of a principal component analysis. Twelve treatments were arranged in a randomized block design with four replications in a split plot. The plots evaluated farming systems in full sun and shade, and the subplots consisted of the following varieties of coffee: Tupi IAC 1669-33, MG 6851, IAC 3282 Icatu, Catucaí 2SL, Obatã IAC 1669-20; lineage IAC IAC 144. After five years we assessed the following variables, height, stem and canopy diameter, leaf area, number of branches, number of nodes per branch, number of leaves present, the distance between nodes, the percentage of green,ripe and dried fruit, number of dead plants, number of plants with death of the apical bud, coffee yield, and foliar concentrations of N, P, K, Ca and Mg. A multivariate analysis efficiently discriminates the variables in full sun and shaded cropping systems. Shading increases the percentage of green fruit, leaf area, height, diameter, distance between nodes, number of leaves on the branches, number of branches and leaf N content, but does not reduce the level of productivity when the shade is adequate.

The correlation between electronic structure and antimalarial activity of alkoxylated and hydroxylated chalcones

Chalcones have shown potential to several pharmacological applications including antimalarial properties. We employed multivariate data analysis to correlate the antimalarial activity with electronic structure descriptors obtained through quantum mechanical calculations. The results show high statistical significance and bring valuable insights in order to design new compounds. © 2013 Springer Science+Business Media New York.

Relação solo-relevo em áreas sob cultivo de café no sudoeste de Minas Gerais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Perfil geográfico multivariado da água consumida no município de Botucatu

Pós-graduação em Biometria - IBB

Associação entre variáveis climáticas e qualidade da água para consumo humano por meio de técnicas multivariadas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

NMR, Metabonomics and Molecular Profiles: Applications to the Quality Assessment of Foodstuffs

Nuclear Magnetic Resonance (NMR) is a branch of spectroscopy that is based on the fact that many atomic nuclei may be oriented by a strong magnetic field and will absorb radiofrequency radiation at characteristic frequencies. The parameters that can be measured on the resulting spectral lines (line positions, intensities, line widths, multiplicities and transients in time-dependent experi-ments) can be interpreted in terms of molecular structure, conformation, molecular motion and other rate processes. In this way, high resolution (HR) NMR allows performing qualitative and quantitative analysis of samples in solution, in order to determine the structure of molecules in solution and not only. In the past, high-field NMR spectroscopy has mainly concerned with the elucidation of chemical structure in solution, but today is emerging as a powerful exploratory tool for probing biochemical and physical processes. It represents a versatile tool for the analysis of foods. In literature many NMR studies have been reported on different type of food such as wine, olive oil, coffee, fruit juices, milk, meat, egg, starch granules, flour, etc using different NMR techniques. Traditionally, univariate analytical methods have been used to ex-plore spectroscopic data. This method is useful to measure or to se-lect a single descriptive variable from the whole spectrum and , at the end, only this variable is analyzed. This univariate methods ap-proach, applied to HR-NMR data, lead to different problems due especially to the complexity of an NMR spectrum. In fact, the lat-ter is composed of different signals belonging to different mole-cules, but it is also true that the same molecules can be represented by different signals, generally strongly correlated. The univariate methods, in this case, takes in account only one or a few variables, causing a loss of information. Thus, when dealing with complex samples like foodstuff, univariate analysis of spectra data results not enough powerful. Spectra need to be considered in their wholeness and, for analysing them, it must be taken in consideration the whole data matrix: chemometric methods are designed to treat such multivariate data. Multivariate data analysis is used for a number of distinct, differ-ent purposes and the aims can be divided into three main groups: • data description (explorative data structure modelling of any ge-neric n-dimensional data matrix, PCA for example); • regression and prediction (PLS); • classification and prediction of class belongings for new samples (LDA and PLS-DA and ECVA). The aim of this PhD thesis was to verify the possibility of identify-ing and classifying plants or foodstuffs, in different classes, based on the concerted variation in metabolite levels, detected by NMR spectra and using the multivariate data analysis as a tool to inter-pret NMR information. It is important to underline that the results obtained are useful to point out the metabolic consequences of a specific modification on foodstuffs, avoiding the use of a targeted analysis for the different metabolites. The data analysis is performed by applying chemomet-ric multivariate techniques to the NMR dataset of spectra acquired. The research work presented in this thesis is the result of a three years PhD study. This thesis reports the main results obtained from these two main activities: A1) Evaluation of a data pre-processing system in order to mini-mize unwanted sources of variations, due to different instrumental set up, manual spectra processing and to sample preparations arte-facts; A2) Application of multivariate chemiometric models in data analy-sis.

Ursachen der Anthrazyklin-induzierten Kardiotoxizität : Einfluss der individuellen genetischen Ausstattung, des oxidativen Stresses und der Metabolisierung

Doxorubizin (Dox) gehört zur Gruppe der Anthrazykline, welche seit mehreren Jahrzehnten erfolgreich gegen ein breites Spektrum an Tumoren eingesetzt wird. Neben der guten Wirksamkeit besitzt Dox jedoch auch ein sehr hohes Nebenwirkungspotential. Die wohl folgenschwerste Nebenwirkung stellt die irreversible Schädigung des Herzens dar. Zahlreiche Faktoren, wie zum Beispiel die kumulative Dox-Dosis konnten bereits mit einer erhöhten Inzidenz an kardialen Schäden in Verbindung gebracht werden. Bislang ungeklärt war jedoch die Frage, warum Patienten unterschiedlich sensibel auf die Verabreichung von Dox reagierten. rnAn dem Patientenkollektiv der Ricover60-Studie wurde der Einfluss der individuellen genetischen Ausstattung auf die Entstehung der Anthrazyklin-induzierten Herzschädigung untersucht. Alle Patienten mit Dox-induzierten Herzschäden wurden identifiziert und auf das Vorhandensein von genetischen Polymorphismen der NAD(P)H-Oxidase (CYBA, RAC2 und NCF4) und der Anthrazyklin-Transporter (MRP1 und MRP2) untersucht. Sowohl für CYBA als auch für RAC2 konnte eine Anreicherung bestimmter Genotypen (CYBA: CT/TT; RAC2: TA/AA) in der Gruppe der herzgeschädigten Patienten nachgewiesen werden. In der Multivariaten Analyse von RAC2 erreichte diese Anreicherung ein signifikantes Niveau (p=0.028). Damit konnte für diesen Polymorphismus die klinische Relevanz bestätigt werden.rnDie Ursachen der Dox-induzierten Toxizität wurden außerdem an verschiedenen Mäusestämmen und Zelllinien untersucht. Balb/c- und C57BL/6-Mäuse, die bekanntermassen unterschiedlich sensibel auf Dox reagierten, wurden mit Dox behandelt. Anschliessend wurden die Organe Herz, Leber und Blut via HPLC untersucht. Es konnte gezeigt werden, dass sich 1. die Hauptanreicherungsorte für Dox und Doxol (Balb/c: Herz und Blut versus C57BL/6: Leber), 2. die nachgewiesenen Gesamtmengen an Dox+Doxol+Doxon in den drei Organen (MengeC57BL/6 > MengeBalb/c) sowie 3. die An- und Abflutungsgeschwindigkeiten von Dox zwischen den beiden Mäusestämmen unterscheiden. Schlussendlich konnte im Vergleich zu den Balb/c-Mäusen, bei den C57BL/6-Mäusen eine stärkere kardiale Anreicherung von Dox nach der mehrmaligen Dox-Injektion nachgewiesen werden. Somit scheinen der deutlich höhere Dox-Gehalt und die längere Verweilzeit in den Herzen für die stärkere kardiale Schädigung der C57BL/6-Mäuse verantwortlich zu sein. Hingegen verlief die Art der Dox-Metabolisierung in beiden Mäusestämmen ähnlich. rnBei der Betrachtung des oxidativen Stresses konnte gezeigt werden, dass in den Herzen der C57BL/6-Mäusen ein gröβerer oxidativer Stress vorlag, als bei den Balb/c-Mäusen. Ähnlich wie bei der Ricover60-Studie ließ sich auch bei den Mäusen eine Beteiligung der NAD(P)H-Oxidase am Dox-induzierten oxidativen Stress nachweisen. rnMit der HTETOP-Zelllinie konnte gezeigt werden, dass Dox unter physiologischen Bedingungen oxidativen Stress auslösen kann. Die Art und die Konzentration der gebildeten ROS waren abhängig von der Dox-Konzentration, der Einwirkzeit und der Kompensationsfähigkeit der Zellen. Durch die Gabe von Dex ließ sich das Ausmaß des oxidativen Stresses lediglich in den Mäuseherzen reduzieren. In den HTETOP-Zellen zeigte Dex selbst stressauslösende Eigenschaften. Durch die Behandlung mit Dex / DOXY konnte gezeigt werden, dass die Hemmung der Topo IIα selbst oxidativen Stress in den HTETOP-Zellen auslöst. Jedoch scheint weder die Topo IIalpha-Hemmung, noch der Dox-induzierte oxidative Stress bei physiologischen Dox-Konzentrationen (< 1 µM) eine entscheidende Rolle für die Toxizität zu spielen. rnIn der Mikroarray-Analyse der HTETOP-Zellen konnten verschiedene Gene identifiziert werden, die in den oxidativen Stress involviert sind und die durch die Gabe von Dox differentiell reguliert werden. Durch die Komedikation mit Dex / DOXY ließen sich diese Veränderungen teilweise modulieren. rn

Urinary metabolomics in Fxr-null mice reveals activated adaptive metabolic pathways upon bile acid challenge

Farnesoid X receptor (FXR) is a nuclear receptor that regulates genes involved in synthesis, metabolism, and transport of bile acids and thus plays a major role in maintaining bile acid homeostasis. In this study, metabolomic responses were investigated in urine of wild-type and Fxr-null mice fed cholic acid, an FXR ligand, using ultra-performance liquid chromatography (UPLC) coupled with electrospray time-of-flight mass spectrometry (TOFMS). Multivariate data analysis between wild-type and Fxr-null mice on a cholic acid diet revealed that the most increased ions were metabolites of p-cresol (4-methylphenol), corticosterone, and cholic acid in Fxr-null mice. The structural identities of the above metabolites were confirmed by chemical synthesis and by comparing retention time (RT) and/or tandem mass fragmentation patterns of the urinary metabolites with the authentic standards. Tauro-3alpha,6,7alpha,12alpha-tetrol (3alpha,6,7alpha,12alpha-tetrahydroxy-5beta-cholestan-26-oyltaurine), one of the most increased metabolites in Fxr-null mice on a CA diet, is a marker for efficient hydroxylation of toxic bile acids possibly through induction of Cyp3a11. A cholestatic model induced by lithocholic acid revealed that enhanced expression of Cyp3a11 is the major defense mechanism to detoxify cholestatic bile acids in Fxr-null mice. These results will be useful for identification of biomarkers for cholestasis and for determination of adaptive molecular mechanisms in cholestasis.

Comparative metabolism of cyclophosphamide and ifosfamide in the mouse using UPLC-ESI-QTOFMS-based metabolomics

Ifosfamide (IF) and cyclophosphamide (CP) are common chemotherapeutic agents. Interestingly, while the two drugs are isomers, only IF treatment is known to cause nephrotoxicity and neurotoxicity. Therefore, it was anticipated that a comparison of IF and CP drug metabolites in the mouse would reveal reasons for this selective toxicity. Drug metabolites were profiled by ultra-performance liquid chromatography-linked electrospray ionization quadrupole time-of-flight mass spectrometry (UPLC-ESI-QTOFMS), and the results analyzed by multivariate data analysis. Of the total 23 drug metabolites identified by UPLC-ESI-QTOFMS for both IF and CP, five were found to be novel. Ifosfamide preferentially underwent N-dechloroethylation, the pathway yielding 2-chloroacetaldehyde, while cyclophosphamide preferentially underwent ring-opening, the pathway yielding acrolein (AC). Additionally, S-carboxymethylcysteine and thiodiglycolic acid, two downstream IF and CP metabolites, were produced similarly in both IF- and CP-treated mice. This may suggest that other metabolites, perhaps precursors of thiodiglycolic acid, may be responsible for IF encephalopathy and nephropathy.