Saúde coletiva: promoção de saúde bucal na gravidez

Objective: The aim of this study was to analyze the perception and attitudes about oral health of pregnant women recorded on SIS-Prenatal from Bilac city, São Paulo State. Method: the data collection was through interviews with pregnant women using a semi-structured questionnaire. Pregnant women that were not present on attendance with gynecologist and those whose children were born were excluded of sample. Result: Among the  20 interviewed pregnant women, 80% didn’t received any type of information about oral health during pregnancy, 45% of total didn’t know how to maintain baby’s oral health,  85% didn’t know the mean of carie disease. The majority of pregnant women (95%) interested to make part of projects about promotion of oral health. Conclusion: the future mothers showed little knowledge in relation to preventive proceedings in dentistry and about diseases that could involve their and baby’s oral health. It’s necessary to perform programs about oral health, pointing the cares for mother-baby

Telas de polipropileno e de submucosa de intestino de suíno na reparação de falhas na parede abdominal de ratos (Rattus norvegicus Albinus)

Pós-graduação em Cirurgia Veterinária - FCAV

Modified constraint-induced movement therapy and modified forced-use therapy for stroke patients are both effective to promote balance and gait improvements

Background: Previous studies show that chronic hemiparetic patients after stroke, presents inabilities to perform movements in paretic hemibody. This inability is induced by positive reinforcement of unsuccessful attempts, a concept called learned non-use. Forced use therapy (FUT) and constraint induced movement therapy (CIMT) were developed with the goal of reversing the learned non-use. These approaches have been proposed for the rehabilitation of the paretic upper limb (PUL). It is unknown what would be the possible effects of these approaches in the rehabilitation of gait and balance. Objectives: To evaluate the effect of Modified FUT (mFUT) and Modified CIMT (mCIMT) on the gait and balance during four weeks of treatment and 3 months follow-up. Methods: This study included thirty-seven hemiparetic post-stroke subjects that were randomly allocated into two groups based on the treatment protocol. The non-paretic UL was immobilized for a period of 23 hours per day, five days a week. Participants were evaluated at Baseline, 1st, 2nd, 3rd and 4th weeks, and three months after randomization. For the evaluation we used: The Stroke Impact Scale (SIS), Berg Balance Scale (BBS) and Fugl-Meyer Motor Assessment (FM). Gait was analyzed by the 10-meter walk test (T10) and Timed Up & Go test (TUG). Results: Both groups revealed a better health status (SIS), better balance, better use of lower limb (BBS and FM) and greater speed in gait (T10 and TUG), during the weeks of treatment and months of follow-up, compared to the baseline. Conclusion: The results show mFUT and mCIMT are effective in the rehabilitation of balance and gait. Trial Registration ACTRN12611000411943.

Stochastic lattice model describing a vector-borne disease

We employ the approach of stochastic dynamics to describe the dissemination of vector-borne diseases such as dengue, and we focus our attention on the characterization of the threshold of the epidemic. The coexistence space comprises two representative spatial structures for both human and mosquito populations. The human population has its evolution described by a process that is similar to the Susceptible-Infected-Recovered (SIR) dynamics. The population of mosquitoes follows a dynamic of the type of the Susceptible Infected-Susceptible (SIS) model. The coexistence space is a bipartite lattice constituted by two structures representing the human and mosquito populations. We develop a truncation scheme to solve the evolution equations for the densities and the two-site correlations from which we get the threshold of the disease and the reproductive ratio. We present a precise deØnition of the reproductive ratio which reveals the importance of the correlations developed in the early stage of the disease. According to our deØnition, the reproductive rate is directed related to the conditional probability of the occurrence of a susceptible human (mosquito) given the presence in the neighborhood of an infected mosquito (human). The threshold of the epidemic as well as the phase transition between the epidemic and the non-epidemic states are also obtained by performing Monte Carlo simulations. References: [1] David R. de Souza, T^ania Tom∂e, , Suani R. T. Pinho, Florisneide R. Barreto and M∂ario J. de Oliveira, Phys. Rev. E 87, 012709 (2013). [2] D. R. de Souza, T. Tom∂e and R. M. ZiÆ, J. Stat. Mech. P03006 (2011).

A stochastic spatially structured epidemic model with diffusive processes

We developed a stochastic lattice model to describe the vector-borne disease (like yellow fever or dengue). The model is spatially structured and its dynamical rules take into account the diffusion of vectors. We consider a bipartite lattice, forming a sub-lattice of human and another occupied by mosquitoes. At each site of lattice we associate a stochastic variable that describes the occupation and the health state of a single individual (mosquito or human). The process of disease transmission in the human population follows a similar dynamic of the Susceptible-Infected-Recovered model (SIR), while the disease transmission in the mosquito population has an analogous dynamic of the Susceptible-Infected-Susceptible model (SIS) with mosquitos diffusion. The occurrence of an epidemic is directly related to the conditional probability of occurrence of infected mosquitoes (human) in the presence of susceptible human (mosquitoes) on neighborhood. The probability of diffusion of mosquitoes can facilitate the formation of pairs Susceptible-Infected enabling an increase in the size of the epidemic. Using an asynchronous dynamic update, we study the disease transmission in a population initially formed by susceptible individuals due to the introduction of a single mosquito (human) infected. We find that this model exhibits a continuous phase transition related to the existence or non-existence of an epidemic. By means of mean field approximations and Monte Carlo simulations we investigate the epidemic threshold and the phase diagram in terms of the diffusion probability and the infection probability.

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.

Tecniche numeriche di studio della sicurezza stradale: il caso della provincia di Bologna

La tesi dottorale in oggetto prende spunto da alcune considerazioni di base relative alla salute di una comunità. Infatti quest’ultima si fonda sulla sicurezza dell’ambiente in cui vive e sulla qualità delle relazioni tra i suoi componenti. In questo ambito la mobilità rappresenta uno degli elementi di maggior criticità, sia per la sicurezza delle persone, che per la salute pubblica, che per le conseguenze sull’ambiente che ne derivano. Negli ultimi anni la circolazione stradale è notevolmente aumentata è questo ha portato a notevoli aspetti negativi, uno dei quali è connesso agli incidenti stradali. In tale ambito viene ricordato che l’Unione Europea ha da tempo indicato come obiettivo prioritario il miglioramento della sicurezza stradale e nel 2001 ha fissato il traguardo di dimezzare entro il 2010 il numero delle vittime degli incidenti stradali. Non ultima, l’approvazione da parte del Parlamento europeo e del Consiglio di un atto legislativo (d’imminente pubblicazione sulla GU Europea) relativo alla gestione della sicurezza in tutte le fasi della pianificazione, della progettazione e del funzionamento delle infrastrutture stradali, in cui si evidenzia l’esigenza di una quantificazione della sicurezza stradale. In tale contesto viene sottolineato come uno dei maggiori problemi nella gestione della sicurezza stradale sia la mancanza di un metodo affidabile per stimare e quantificare il livello di sicurezza di una strada esistente o in progetto. Partendo da questa considerazione la tesi si sviluppa mettendo in evidenza le grandezza fondamentali nel problema della sicurezza stradale, (grado di esposizione, rischio d’incidente e le possibili conseguenze sui passeggeri) e analizzando i sistemi adottati tradizionalmente per effettuare analisi di sicurezza: • Statistiche dei dati storici d’incidente; • Previsione da modelli basati su analisi di regressione dei dati incidentali; • Studi Before-After; • Valutazione da giudizi di esperti. Dopo aver analizzato gli aspetti positivi e negativi delle alternative in parola, viene proposto un nuovo approccio, che combina gli elementi di ognuno dei metodi sopra citati in un algoritmo di previsione incidentale. Tale nuovo algoritmo, denominato Interactive Highway Safety Design Model (IHSDM) è stato sviluppato dalla Federal Highway Administration in collaborazione con la Turner Fairbank Higway Research Center ed è specifico per le strade extraurbane a due corsie. Il passo successivo nello sviluppo della tesi è quello di un’analisi dettagliata del modello IHSDM che fornisce il numero totale di incidenti previsti in un certo intervallo temporale. Viene analizzata la struttura del modello, i limiti d’applicabilità, le equazioni che ne sono alla base e i coefficienti moltiplicativi relativi ad ogni caratteristica geometrica e funzionale. Inoltre viene presentata un’ampia analisi di sensibilità che permette di definire quale sia l’influenza d’ogni singolo Fattore di Previsione incidentale (Accident Predication Factor) sul risultato finale. Dai temi trattati, emerge chiaramente come la sicurezza è legata a più sistemi tra loro interconnessi e che per utilizzare e migliorare i modelli previsionali è necessario avere a disposizione dati completi, congruenti, aggiornati e facilmente consultabili. Infatti, anche quando sono disponibili elementi su tutti gli incidenti avvenuti, spesso mancano informazioni di dettaglio ma fondamentali, riguardanti la strada come ad esempio il grado di curvatura, la larghezza della carreggiata o l’aderenza della pavimentazione. In tale ottica, nella tesi viene presentato il Sistema Informativo Stradale (SIS) della Provincia di Bologna, concepito come strumento di gestione delle problematiche inerenti la viabilità e come strumento di supporto per la pianificazione degli interventi e la programmazione delle risorse da investire sulla rete. Viene illustrato come il sistema sia in grado di acquisire, elaborare ed associare dati georeferenziati relativi al territorio sia sotto forma di rappresentazioni grafiche, sia mediante informazioni descrittive di tipo anagrafico ed alfanumerico. Quindi viene descritto il rilievo ad alto rendimento, effettuato con l’ausilio di un laboratorio mobile multifunzionale (Mobile Mapping System), grazie al quale è stato possibile definire con precisione il grafo completo delle strade provinciali e il database contenente i dati relativi al patrimonio infrastrutturale. Tali dati, relativi alle caratteristiche plano-altimetriche dell’asse (rettifili, curve planimetriche, livellette, raccordi altimetrici, ecc...), alla sezione trasversale (numero e larghezza corsie, presenza di banchine, ecc..), all’ambiente circostante e alle strutture annesse vengono presentati in forma completa specificando per ognuno la variabilità specifica. Inoltre viene evidenziato come il database si completi con i dati d’incidentali georeferenziati sul grafo e compresivi di tutte le informazioni contenute nel modello ISTAT CTT/INC spiegandone le possibili conseguenze sul campo dell’analisi di sicurezza. La tesi si conclude con l’applicazione del modello IHSDM ad un caso reale, nello specifico la SP255 di S.Matteo Decima. Infatti tale infrastruttura sarà oggetto di un miglioramento strutturale, finanziato dalla Regione Emilia Romagna, che consistente nell’allargamento della sede stradale attraverso la realizzazione di una banchina pavimentata di 1.00m su entrambi i lati della strada dalla prog. km 19+000 al km 21+200. Attraverso l’utilizzo dell’algoritmo di previsione incidentale è stato possibile quantificare gli effetti di questo miglioramento sul livello di sicurezza dell’infrastruttura e verificare l’attendibilità del modello con e senza storia incidentale pregressa. Questa applicazione ad un caso reale mette in evidenza come le informazioni del SIS possano essere sfruttate a pieno per la realizzazione di un analisi di sicurezza attraverso l’algoritmo di previsione incidentale IHSDM sia nella fase di analisi di uno specifico tronco stradale che in quella fondamentale di calibrazione del modello ad una specifica rete stradale (quella della Provincia di Bologna). Inoltre viene sottolineato come la fruibilità e la completezza dei dati a disposizione, possano costituire la base per sviluppi di ricerca futuri, come ad esempio l’indagine sulle correlazioni esistenti tra le variabili indipendenti che agiscono sulla sicurezza stradale.

Cell Host-Microbe Interactions: Turning Pathogen Mechanisms Into Cell's Advantages

Host-Pathogen Interaction is a very vast field of biological sciences, indeed every year many un- known pathogens are uncovered leading to an exponential growth of this field. The present work lyes between its boundaries, touching different aspects of host-pathogen interaction: We have evaluate the permissiveness of Mesenchimal Stem cell (FM-MSC from now on) to all known human affecting herpesvirus. Our study demonstrate that FM-MSC are full permissive to HSV1, HSV2, HCMV and VZV. On the other hand HHV6, HHV7, EBV and HHV8 are susceptible, but failed to activate a lytic infection program. FM-MSC are pluripotent stem cell and have been studied intensely in last decade. FM-MSC are employed in some clinical applications. For this reason it is important to known the degree of susceptibility to transmittable pathogens. Our atten- tion has then moved to bacterial pathogens: we have performed a proteome-wide in silico analy- sis of Chlamydiaceae family, searching for putative Nuclear localization Signal (NLS). Chlamy- diaceae are a family of obligate intracellular parasites. It’s reasonably to think that its members could delivered to nucleus effector proteins via NLS sequences: if that were the case the identifi- cation of NLS carrying proteins could open the way to therapeutic approaches. Our results strengthen this hypothesis: we have identified 72 protein bearing NLS, and verified their func- tionality with in vivo assays. Finally we have conceived a molecular scissor, creating a fusion protein between HIV-1 IN protein and FokI catalytic domain (a deoxyexonuclease domain). Our aim is to obtain chimeric enzyme (trojIN) which selectively identify IN naturally occurring target (HIV LTR sites) and cleaves subsequently LTR carrying DNA (for example integrated HIV1 DNA). Our preliminary results are promising since we have identified trojIN mutated version capable to selectively recognize LTR carrying DNA in an in vitro experiments.

Grafi aleatori - il modello di Erdos-Rényi

Dopo aver dato una definizione formale per il modello di Erdos-Rényi, si dimostra che in un grafo ER il grado dei nodi (misura della connessione) risulta essere una variabile aleatoria con distribuzione binomiale, mentre il clustering (misura della densità di archi a livello locale) tende a zero. Successivamente si determinano le funzioni soglia per alcune proprietà monotone particolarmente significative, consentendo così di descrivere diverse configurazioni possibili per un grafo ER al variare dei suoi parametri. Infine, si mostra come si possano utilizzare i grafi ER per modellizzare la diffusione di una malattia infettiva all’interno di una popolazione numerosa.

Disseminazioni in reti peer-to-peer attraverso algoritmi di gossip a due fasi

Gli algoritmi di gossip sono utilizzati per la disseminazione di messaggi in una rete peer-to-peer. La tesi tratta lo sviluppo, l'implementazione e l'analisi di quattro nuovi algoritmi di gossip "a due fasi". Gli algoritmi sono stati sviluppati e testati con il simulatore LUNES per poi essere analizzati in vari confronti con gli algoritmi classici dell'ambito, ovvero Fixed Probability e Conditional Broadcast. Le prove sono state effettuate su varie tipologie di grafi, ovvero Random, Scale-free, Small-world e K-Regular.

Neurodegenerative diseases in domestic animals: a comparative review

Neurodegenerative diseases are characterised by selective damage to specific neurons in the nervous system. Interest in such diseases in humans has resulted in considerable progress in the molecular understanding of these disorders in recent decades. Numerous neurodegenerative diseases have also been described in domestic animals but relatively little molecular work has been reported. In the present review, we have classified neurodegenerative disease according to neuroanatomical criteria. We have established two large groups, based on whether the neuronal cell body or its axon was primarily affected. Conditions such as motor neuron diseases, cerebellar degenerations and neuroaxonal dystrophies are discussed in terms of their clinical and neuropathological features. In the most studied disorders, we also present what is known about underlying pathomechanisms, and compare them with their human counterparts. The purpose of this review is to re-kindle interest in this group of diseases and to encourage veterinary researchers to investigate molecular mechanisms by taking advantage of current diagnostic tools.

Neuropathological and molecular comparison between clinical and asymptomatic bovine spongiform encephalopathy cases

Interest in the proper neuropathological and molecular characterization of bovine spongiform encephalopathy (BSE) has increased since asymptomatic and atypical cases were detected in the cattle population by active disease surveillance. In this respect we investigated a total of 95 confirmed BSE cases originating from different active and passive surveillance categories (clinical suspects, emergency-slaughter, fallen stock and routinely slaughter) in Switzerland for their neuropathological and molecular phenotype. We looked for measurable differences between these categories in lesion profile, severity of spongiform change, degree of astrocytosis as well as immunohistochemical and molecular patterns of the disease-associated isoform of the prion protein (PrPd) in the caudal brainstem. Our results indicate significantly higher intensities of spongiform change in clinically affected compared to asymptomatic BSE cases. Similar effects were in trend observed for the intensities of PrPd deposition and astrocytosis, whereas the frequencies of morphological PrPd types and the molecular patterns in Western immunoblot were not different. Importantly, none of the animals included in this study revealed features of atypical BSE. Taken together, this study suggests that both clinically affected as well as asymptomatic Swiss BSE cases in cattle share the neuropathological and molecular phenotype of classical BSE and that asymptomatic classical BSE cases are at a pre-clinical stage of the disease rather than representing a true sub-clinical form of BSE.

Percutaneous vein occlusion with small intestinal submucosa: an experimental pilot study in Swine and sheep

PURPOSE: The objective of this study was to investigate the feasibility, outcomes, and amount of small intestinal submucosa (SIS) material needed for embolization of jugular vein (JV) in a swine and sheep model. Our hypothesis was that SIS would cause vein occlusion. MATERIALS AND METHODS: The external JVs (EJV) in swine (n = 6) and JVs in sheep (n = 6) were occluded with SIS fan-folded compressed strips. After percutaneous puncture of the peripheral portion of the EJV or JV, a TIPS set was used to exit their lumen centrally through the skin. The SIS strips were delivered into the isolated venous segment with a pull-through technique via a 10-Fr sheath. Follow-up venograms were done immediately after placement and at the time of sacrifice at 1 or 3 months. Gross examinations focused on the EJV or JV and their surrounding structures. Specimens were evaluated by histology. RESULTS: SIS strip(s) placement was successful in all cases, with immediate vein occlusion seen in 23 of 24 veins (95.8%). All EJVs treated with two strips and all JVs treated with three or four strips remained closed on 1- and 3-month follow-up venograms. Two EJVs treated with one strip and one JV treated with two strips were partially patent on venograms at 1 and 3 months. There has been one skin inflammatory reaction. Necropsies revealed excluded EJV or JV segments with SIS incorporation into the vein wall. Histology demonstrated various stages of SIS remodeling with fibrocytes, fibroblasts, endothelial cells, capillaries, and inflammatory cells. CONCLUSION: We conclude that EJV and JV ablation with SIS strips using percutaneous exit catheterization is feasible and effective in animal models. Further exploration of SIS as vein ablation material is recommended.

Road Ecology: A Practitioner's Tale

Road Ecology is a relatively new sub-discipline of ecology that focuses on understanding the interactions between road systems and the natural environment. Wildlife crossings that allow animals to safely cross human-made barri-ers such as roads, are intended not only to reduce animal-vehicle collisions, but ideally to provide connectivity of habitat areas, combating habitat fragmentation. Wildlife mitigation strategies to improve the permeability of our infrastructure can include a combination of structures (overpasses/underpasses), at-grade crossings, fencing, animal-detection systems, and signage. One size does not fit all and solutions must be considered on a case-by-case ba-sis. Often, the feasibility of the preferred mitigation solution depends on a combination of variables including road geometrics, topography, traffic patterns, funding allocations, adjacent land use and landowner cooperation, the target wildlife species, their movement patterns, and habitat distribution. Joe and Deb will speak to the current road ecolo-gy practices in Montana and some real-world applications from the Department of Transportation.

Enhancement of Drug-Specific Lymphocyte Proliferation Using CD25-Depleted CD3(+) Effector Cells

Background: The lymphocyte transformation test (LTT) is used for in vitro diagnosis of drug hypersensitivity reactions. While its specificity is over 90%, sensitivity is limited and depends on the type of reaction, drug and possibly time interval between the event and analysis. Removal of regulatory T cells (Treg/CD25(hi)) from in vitro stimulated cell cultures was previously reported to be a promising method to increase the sensitivity of proliferation tests. Objective: The aim of this investigation is to evaluate the effect of removal of regulatory T cells on the sensitivity of the LTT. Methods: Patients with well-documented drug hypersensitivity were recruited. Peripheral blood mononuclear cells, isolated CD3(+) and CD3(+) T cells depleted of the CD25(hi) fraction were used as effector cells in the LTT. Irrelevant drugs were also included to determine specificity. (3)H-thymidine incorporation was utilized as the detection system and results were expressed as a stimulation index (SI). Results: SIs of 7/11 LTTs were reduced after a mean time interval of 10.5 months (LTT 1 vs. LTT 2). Removal of the CD25(hi) fraction, which was FOXP3(+) and had a suppressive effect on drug-induced proliferation, resulted in an increased response to the relevant drugs. Sensitivity was increased from 25 to 82.35% with dramatically enhanced SI (2.05 to 6.02). Specificity was not affected. Conclusion: Removal of Treg/CD25(hi) cells can increase the frequency and strengths of drug-specific proliferation without affecting specificity. This approach might be useful in certain drug hypersensitivity reactions with borderline responses or long time interval since the hypersensitivity reaction. © 2014 S. Karger AG, Basel.