Ocorrências e distribuição de bactérias resistentes a metais pesados em sedimentos da Baía do Araça, São Sebastião (SP)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Reconhecimento de faces sob diferentes condições de iluminação utilizando PCA e a transformada census

Os seres humanos identificam naturalmente outros seres humanos utilizando suas características físicas, fisiológicas ou comportamentais. Dentre essas características, destacam-se os traços faciais. O avanço tecnológico na área de Biometria tem promovido o desenvolvimento de inúmeras técnicas para o reconhecimento automático de faces por meio de computadores, entretanto, existem ainda vários fatores que dificultam esta aplicação, como por exemplo, a variação das condições de iluminação. O objetivo deste artigo é analisar os efeitos da aplicação de um filtro de processamento de imagens, denominado Transformada Census, em uma base de dados com imagens da face em diferentes condições de iluminação. Assim, experimentos foram realizados utilizando a técnica PCA com imagens da base de dados AR antes e depois da aplicação da Transformada Census. Os resultados desses experimentos mostraram que a aplicação da Transformada Census melhorou o resultado do reconhecimento das faces, reduzindo a taxa de erro.

Caracterização de segurança e tecnológica de bactérias acidoláticas termofílicas autóctones e aplicação em queijo parmesão

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Interação entre bactérias cariogênicas

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

Obtenção de consórcio de bactérias fotoheterotróficas geradoras de H2 visando sua produção em reator anaeróbio em batelada

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Influência do suco de laranja na microbiota intestinal humana

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Fungos endofíticos em Eugenia brasiliensis: prospecção química, biológica, enzimática e avaliação do co-cultivo e epigenética em Xylaria cubensis, Diaporthe sp. e Colletotrichum sp.

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Resistência de bactérias ácido-láticas a bacteriófagos provenientes de unidades de processamento de queijo Coalho

Este trabalho teve como objetivos isolar bacteriófagos de amostras de leite, soro e queijo de Coalho e avaliar a resistência de cepas de Lactobacillus paracasei, pertencentes à Coleção de Micro-organismos de Interesse para a Agroindústria Tropical da Embrapa Agroindústria Tropical, aos fagos isolados. Posteriormente, a resistência destas cepas a fagos específicos para L. paracasei, da Coleção do Instituto de Lactología Industrial - INLAIN (Santa Fe, Argentina), também foi avaliada. As amostras para isolamento dos fagos foram obtidas em quatro unidades de processamento de queijo de Coalho, sendo duas artesanais e duas industriais, localizadas no Estado do Ceará. Para o isolamento dos bacteriófagos, foi empregado o teste de lise celular (spot), enquanto que a resistência das culturas aos fagos foi avaliada pelos testes de capacidade de produção de ácido e avaliação da turbidez. As cepas avaliadas foram resistentes aos bacteriófagos provenientes das unidades de processamento de queijo de Coalho e aos bacteriófagos da Coleção do INLAIN. Os resultados obtidos indicaram que as culturas láticas testadas, resistentes aos bacteriófagos, podem ser utilizadas na composição de fermento lático destinado à elaboração de queijo de Coalho, a partir de leite pasteurizado.

Infecções de corrente sanguínea por bactérias multirresistentes em UTI de tratamento de queimados: experiência de 4 anos

INTRODUÇÃO: O conhecimento do perfil de resistência aos antibióticos das bactérias de um nosocômio é essencial para orientar tratamento adequado dos pacientes. Isso é especialmente importante para os pacientes mais graves, já que o tratamento deve ser instituído antes do resultado das culturas. O objetivo deste estudo foi analisar o perfil das bactérias multirresistentes encontradas nas hemoculturas de pacientes admitidos na Unidade de Tratamento Intensivo (UTI) da Unidade de Queimados do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo. MÉTODO: Foram analisados 178 pacientes internados na UTI para tratamento de queimados, no período de 2009 a 2011, sendo 131 do sexo masculino, com média de idade de 29,2 anos. RESULTADOS: Entre os pacientes analisados, 80 (44,9%) apresentaram hemocultura periférica positiva, sendo 66 (82,5%) casos com bactérias multirresistentes. Em 48 pacientes, foram isoladas Staphylococcus sp., que se apresentaram resistentes à oxacilina em 33 deles. Em 11 pacientes, foram isoladas Acinetobacter baumanii, que se apresentaram resistentes a imipenem em 8 casos. Em 19 pacientes, foram isoladas Pseudomonas sp., resistentes a imipenem em 16 casos. Em 10 pacientes foram isoladas Enterobacter sp., resistentes a amicacina e ciprofloxacina em 2 casos. A presença de bactérias multirresistentes não foi associada a maior ocorrência de óbitos, porém foi verificado maior tempo de internação (52,6 dias vs. 36,3 dias para os grupos com e sem bactérias multirresistentes, respectivamente; P = 0,0306). Não foi encontrada interação significante entre superfície corpórea queimada e presença de bactérias MR. CONCLUSÕES: A presença de bactérias multirresistentes é um problema grave, tanto pela prevalência como pela morbidade e mortalidade associadas.

Biochemistry in healthy and neoplastic human tissues: metabolic alteration revealed by HR-MAS nuclear magnetic resonance spectroscopy

This thesis is focused on the metabolomic study of human cancer tissues by ex vivo High Resolution-Magic Angle Spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy. This new technique allows for the acquisition of spectra directly on intact tissues (biopsy or surgery), and it has become very important for integrated metabonomics studies. The objective is to identify metabolites that can be used as markers for the discrimination of the different types of cancer, for the grading, and for the assessment of the evolution of the tumour. Furthermore, an attempt to recognize metabolites, that although involved in the metabolism of tumoral tissues in low concentration, can be important modulators of neoplastic proliferation, was performed. In addition, NMR data was integrated with statistical techniques in order to obtain semi-quantitative information about the metabolite markers. In the case of gliomas, the NMR study was correlated with gene expression of neoplastic tissues. Chapter 1 begins with a general description of a new “omics” study, the metabolomics. The study of metabolism can contribute significantly to biomedical research and, ultimately, to clinical medical practice. This rapidly developing discipline involves the study of the metabolome: the total repertoire of small molecules present in cells, tissues, organs, and biological fluids. Metabolomic approaches are becoming increasingly popular in disease diagnosis and will play an important role on improving our understanding of cancer mechanism. Chapter 2 addresses in more detail the basis of NMR Spectroscopy, presenting the new HR-MAS NMR tool, that is gaining importance in the examination of tumour tissues, and in the assessment of tumour grade. Some advanced chemometric methods were used in an attempt to enhance the interpretation and quantitative information of the HR-MAS NMR data are and presented in chapter 3. Chemometric methods seem to have a high potential in the study of human diseases, as it permits the extraction of new and relevant information from spectroscopic data, allowing a better interpretation of the results. Chapter 4 reports results obtained from HR-MAS NMR analyses performed on different brain tumours: medulloblastoma, meningioms and gliomas. The medulloblastoma study is a case report of primitive neuroectodermal tumor (PNET) localised in the cerebellar region by Magnetic Resonance Imaging (MRI) in a 3-year-old child. In vivo single voxel 1H MRS shows high specificity in detecting the main metabolic alterations in the primitive cerebellar lesion; which consist of very high amounts of the choline-containing compounds and of very low levels of creatine derivatives and N-acetylaspartate. Ex vivo HR-MAS NMR, performed at 9.4 Tesla on the neoplastic specimen collected during surgery, allows the unambiguous identification of several metabolites giving a more in-depth evaluation of the metabolic pattern of the lesion. The ex vivo HR-MAS NMR spectra show higher detail than that obtained in vivo. In addition, the spectroscopic data appear to correlate with some morphological features of the medulloblastoma. The present study shows that ex vivo HR-MAS 1H NMR is able to strongly improve the clinical possibility of in vivo MRS and can be used in conjunction with in vivo spectroscopy for clinical purposes. Three histological subtypes of meningiomas (meningothelial, fibrous and oncocytic) were analysed both by in vivo and ex vivo MRS experiments. The ex vivo HR-MAS investigations are very helpful for the assignment of the in vivo resonances of human meningiomas and for the validation of the quantification procedure of in vivo MR spectra. By using one- and two dimensional experiments, several metabolites in different histological subtypes of meningiomas, were identified. The spectroscopic data confirmed the presence of the typical metabolites of these benign neoplasms and, at the same time, that meningomas with different morphological characteristics have different metabolic profiles, particularly regarding macromolecules and lipids. The profile of total choline metabolites (tCho) and the expression of the Kennedy pathway genes in biopsies of human gliomas were also investigated using HR-MAS NMR, and microfluidic genomic cards. 1H HR-MAS spectra, allowed the resolution and relative quantification by LCModel of the resonances from choline (Cho), phosphorylcholine (PC) and glycerolphorylcholine (GPC), the three main components of the combined tCho peak observed in gliomas by in vivo 1H MRS spectroscopy. All glioma biopsies depicted an increase in tCho as calculated from the addition of Cho, PC and GPC HR-MAS resonances. However, the increase was constantly derived from augmented GPC in low grade NMR gliomas or increased PC content in the high grade gliomas, respectively. This circumstance allowed the unambiguous discrimination of high and low grade gliomas by 1H HR-MAS, which could not be achieved by calculating the tCho/Cr ratio commonly used by in vivo 1H MR spectroscopy. The expression of the genes involved in choline metabolism was investigated in the same biopsies. The present findings offer a convenient procedure to classify accurately glioma grade using 1H HR-MAS, providing in addition the genetic background for the alterations of choline metabolism observed in high and low gliomas grade. Chapter 5 reports the study on human gastrointestinal tract (stomach and colon) neoplasms. The human healthy gastric mucosa, and the characteristics of the biochemical profile of human gastric adenocarcinoma in comparison with that of healthy gastric mucosa were analyzed using ex vivo HR-MAS NMR. Healthy human mucosa is mainly characterized by the presence of small metabolites (more than 50 identified) and macromolecules. The adenocarcinoma spectra were dominated by the presence of signals due to triglycerides, that are usually very low in healthy gastric mucosa. The use of spin-echo experiments enable us to detect some metabolites in the unhealthy tissues and to determine their variation with respect to the healthy ones. Then, the ex vivo HR-MAS NMR analysis was applied to human gastric tissue, to obtain information on the molecular steps involved in the gastric carcinogenesis. A microscopic investigation was also carried out in order to identify and locate the lipids in the cellular and extra-cellular environments. Correlation of the morphological changes detected by transmission (TEM) and scanning (SEM) electron microscopy, with the metabolic profile of gastric mucosa in healthy, gastric atrophy autoimmune diseases (AAG), Helicobacter pylori-related gastritis and adenocarcinoma subjects, were obtained. These ultrastructural studies of AAG and gastric adenocarcinoma revealed lipid intra- and extra-cellularly accumulation associated with a severe prenecrotic hypoxia and mitochondrial degeneration. A deep insight into the metabolic profile of human healthy and neoplastic colon tissues was gained using ex vivo HR-MAS NMR spectroscopy in combination with multivariate methods: Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA). The NMR spectra of healthy tissues highlight different metabolic profiles with respect to those of neoplastic and microscopically normal colon specimens (these last obtained at least 15 cm far from the adenocarcinoma). Furthermore, metabolic variations are detected not only for neoplastic tissues with different histological diagnosis, but also for those classified identical by histological analysis. These findings suggest that the same subclass of colon carcinoma is characterized, at a certain degree, by metabolic heterogeneity. The statistical multivariate approach applied to the NMR data is crucial in order to find metabolic markers of the neoplastic state of colon tissues, and to correctly classify the samples. Significant different levels of choline containing compounds, taurine and myoinositol, were observed. Chapter 6 deals with the metabolic profile of normal and tumoral renal human tissues obtained by ex vivo HR-MAS NMR. The spectra of human normal cortex and medulla show the presence of differently distributed osmolytes as markers of physiological renal condition. The marked decrease or disappearance of these metabolites and the high lipid content (triglycerides and cholesteryl esters) is typical of clear cell renal carcinoma (RCC), while papillary RCC is characterized by the absence of lipids and very high amounts of taurine. This research is a contribution to the biochemical classification of renal neoplastic pathologies, especially for RCCs, which can be evaluated by in vivo MRS for clinical purposes. Moreover, these data help to gain a better knowledge of the molecular processes envolved in the onset of renal carcinogenesis.

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.

Pyrolysis-Gas Chromatography-Mass Spectometry and Chemometric Analysis for the Characterization of Complex Matrices

The present PhD thesis was focused on the development and application of chemical methodology (Py-GC-MS) and data-processing method by multivariate data analysis (chemometrics). The chromatographic and mass spectrometric data obtained with this technique are particularly suitable to be interpreted by chemometric methods such as PCA (Principal Component Analysis) as regards data exploration and SIMCA (Soft Independent Models of Class Analogy) for the classification. As a first approach, some issues related to the field of cultural heritage were discussed with a particular attention to the differentiation of binders used in pictorial field. A marker of egg tempera the phosphoric acid esterified, a pyrolysis product of lecithin, was determined using HMDS (hexamethyldisilazane) rather than the TMAH (tetramethylammonium hydroxide) as a derivatizing reagent. The validity of analytical pyrolysis as tool to characterize and classify different types of bacteria was verified. The FAMEs chromatographic profiles represent an important tool for the bacterial identification. Because of the complexity of the chromatograms, it was possible to characterize the bacteria only according to their genus, while the differentiation at the species level has been achieved by means of chemometric analysis. To perform this study, normalized areas peaks relevant to fatty acids were taken into account. Chemometric methods were applied to experimental datasets. The obtained results demonstrate the effectiveness of analytical pyrolysis and chemometric analysis for the rapid characterization of bacterial species. Application to a samples of bacterial (Pseudomonas Mendocina), fungal (Pleorotus ostreatus) and mixed- biofilms was also performed. A comparison with the chromatographic profiles established the possibility to: • Differentiate the bacterial and fungal biofilms according to the (FAMEs) profile. • Characterize the fungal biofilm by means the typical pattern of pyrolytic fragments derived from saccharides present in the cell wall. • Individuate the markers of bacterial and fungal biofilm in the same mixed-biofilm sample.

Development of methodologies for fish freshness assessment using metabonomics applications.

This study focuses on the use of metabonomics applications in measuring fish freshness in various biological species and in evaluating how they are stored. This metabonomic approach is innovative and is based upon molecular profiling through nuclear magnetic resonance (NMR). On one hand, the aim is to ascertain if a type of fish has maintained, within certain limits, its sensory and nutritional characteristics after being caught; and on the second, the research observes the alterations in the product’s composition. The spectroscopic data obtained through experimental nuclear magnetic resonance, 1H-NMR, of the molecular profiles of the fish extracts are compared with those obtained on the same samples through analytical and conventional methods now in practice. These second methods are used to obtain chemical indices of freshness through biochemical and microbial degradation of the proteic nitrogen compounds and not (trimethylamine, N-(CH3)3, nucleotides, amino acids, etc.). At a later time, a principal components analysis (PCA) and a linear discriminant analysis (PLS-DA) are performed through a metabonomic approach to condense the temporal evolution of freshness into a single parameter. In particular, the first principal component (PC1) under both storage conditions (4 °C and 0 °C) represents the component together with the molecular composition of the samples (through 1H-NMR spectrum) evolving during storage with a very high variance. The results of this study give scientific evidence supporting the objective elements evaluating the freshness of fish products showing those which can be labeled “fresh fish.”

Corso-laboratorio pls "l'esperimento piu bello": Analisi di un'esperienza di insegnamento/apprendimento della fisica quantistica

In questo elaborato sono stati analizzati i dati raccolti nel Corso-Laboratorio “L’esperimento più bello”, realizzato nel periodo marzo-aprile 2013 nell'ambito delle attività del Piano Lauree Scientifiche del Dipartimento di Fisica e Astronomia di Bologna. Il Corso, frequentato da studenti volontari del quinto anno di Liceo Scientifico, era finalizzato ad introdurre concetti di Fisica Quantistica seguendo, come filo conduttore, l’esperimento di interferenza con elettroni singoli e le sue varianti. I principali dati considerati e analizzati riguardano le risposte degli studenti a questionari proposti a fine Corso per avere un riscontro sul tipo di coinvolgimento e sul livello di comprensione raggiunto. L’analisi è stata condotta con l’obiettivo specifico di valutare come gli studenti si siano posti di fronte ad alcuni approfondimenti formali sviluppati per interpretare gli esperimenti e come abbiano colto i concetti trattati, ritenuti necessari per entrare nel “nuovo modo di vedere il mondo della quantistica”: il concetto di stato, sovrapposizione, ampiezza di probabilità, entanglement.

Das chronische Postthorakotomie-Schmerzsyndrom: Eine vergleichende Untersuchung zweier Analgesieverfahren (PCEA und PCA+Ketamin)

Das chronische Postthorakotomie Schmerzsyndrom: Eine vergleichende Untersuchung zweier Analgesieverfahren (PCEA und PCA+Ketamin)rnrnFragestellung: Chronische Schmerzen im Narbenbereich nach Thorakotomien sind ein bekanntes und häufiges Problem. Die Prävalenz des chronischen Postthorakotomie Schmerzsyndroms sechs Monate postoperativ liegt zwischen 52% und 75%. Die Epiduralanästhesie gilt zurzeit als das beste Analgesieverfahren für Thorakotomiepatienten in Bezug auf das Auftreten akuter und chronischer Postthorakotomieschmerzen. In dieser Studie wurde untersucht, ob sich die Epiduralanästhesie (PCEA) und ein opioidbasiertes, systemisches Analgesieverfahren mit der zusätzlichen intravenösen Applikation von Ketamin, einem NMDA-Rezeptorantagonisten, (PCA+Ketamin) in der Prävalenz des chronischen Postthorakotomiesyndroms unterscheiden, oder ob beide Verfahren gleichwertig sind.rnrnMaterial u. Methoden: Es wurden die Datensätze von 173 Patienten, bei denen eine elektive Thorakotomie durchgeführt wurde, retrospektiv an Hand vorliegender Schmerzprotokolle erfasst. Ausgewertet wurden das durchgeführte Analgesieverfahren, die deskriptiven Daten der Patienten (Alter, Geschlecht, Hauptdiagnose, Zeitraum bis zur Nachbefragung), das postoperative Schmerzniveau der ersten beiden Tage, eventuelle Komplikationen und die Patientenzufriedenheit. Durch ein telefonisches Interview wurden die Patienten in einem Zeitraum von 6 bis 24 Monaten postoperativ zum aktuellen Schmerzniveau befragt.rnrnErgebnisse: Die beiden Analgesieverfahren PCEA (135 Patienten) und PCA+Ketamin (38 Patienten) unterscheiden sich signifikant in Bezug auf das Patientenalter, die Hauptdiagnose und das Schmerzniveau am 1. und 2. postoperativen Tag unter Belastung. Es konnte kein signifikanter Unterschied im Auftreten des chronischen Schmerzsyndroms nachgewiesen werden, allerdings gibt es einen deskriptiven Trend zu einer erhöhten Auftretenswahrscheinlichkeit des Postthorakotomiesyndroms in der Epiduralanästhesiegruppe (PCEA: 37,8% vs. PCA+Ketamin 23,7%).rnrnSchlussfolgerung: Die Ketamingabe zur PCA hat möglicherweise einen protektiven Effekt bezüglich der Prävalenz des Postthorakotomie Schmerzsyndroms. Auch wenn die Wirkungsweise des Ketamins auf den chronischen Postthorakotomieschmerz unklar ist, konnte in dieser Studie kein Unterschied in Bezug auf das Auftreten des chronischen Schmerzsyndroms zwischen den beiden Analgesiegruppen PCEA und PCA + Ketamin nachgewiesen werden. Unter Umständen könnte sogar ein Vorteil des PCA + Ketaminschemas gegenüber der Epiduralanästhesie bezüglich des Auftretens des Postthorakotomie Schmerzsyndroms bestehen. Dieser mögliche Vorteil sollte in weiteren Studien überprüft werden.rn