988 resultados para Alkenone, C37, per cell
Resumo:
This thesis investigates two distinct research topics. The main topic (Part I) is the computational modelling of cardiomyocytes derived from human stem cells, both embryonic (hESC-CM) and induced-pluripotent (hiPSC-CM). The aim of this research line lies in developing models of the electrophysiology of hESC-CM and hiPSC-CM in order to integrate the available experimental data and getting in-silico models to be used for studying/making new hypotheses/planning experiments on aspects not fully understood yet, such as the maturation process, the functionality of the Ca2+ hangling or why the hESC-CM/hiPSC-CM action potentials (APs) show some differences with respect to APs from adult cardiomyocytes. Chapter I.1 introduces the main concepts about hESC-CMs/hiPSC-CMs, the cardiac AP, and computational modelling. Chapter I.2 presents the hESC-CM AP model, able to simulate the maturation process through two developmental stages, Early and Late, based on experimental and literature data. Chapter I.3 describes the hiPSC-CM AP model, able to simulate the ventricular-like and atrial-like phenotypes. This model was used to assess which currents are responsible for the differences between the ventricular-like AP and the adult ventricular AP. The secondary topic (Part II) consists in the study of texture descriptors for biological image processing. Chapter II.1 provides an overview on important texture descriptors such as Local Binary Pattern or Local Phase Quantization. Moreover the non-binary coding and the multi-threshold approach are here introduced. Chapter II.2 shows that the non-binary coding and the multi-threshold approach improve the classification performance of cellular/sub-cellular part images, taken from six datasets. Chapter II.3 describes the case study of the classification of indirect immunofluorescence images of HEp2 cells, used for the antinuclear antibody clinical test. Finally the general conclusions are reported.
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Lo scopo di questa tesi è stato la produzione di un elettrolizzatore ad ossidi solidi (SOEC) mediante tecniche economiche e facilmente industrializzabili. Fondamentale a questo scopo è stata la realizzazione di una semicella costituita da un anodo poroso a base di La0.8Sr0.2MnO3-Ce0.8Gd0.2O2-δ (LSM-GDC) ed un elettrolita denso a base di Ce0.8Gd0.2O2-δ (GDC). Le tecniche utilizzate per la produzione di questo sistema sono state il colaggio su nastro e la serigrafia. Anche se generalmente, le celle SOEC vengono prodotte catodo supportate, in questo studio, l’elemento supportante scelto è stato l’anodo poiché questo garantisce una migliore stabilità meccanica all’intera cella. Tale substrato è stato ottenuto mediante colaggio su nastro accoppiato con un metodo innovativo di sinterizzazione denominato sinterizzazione reattiva, processo che prevede la formazione della fase di interesse durante un unico trattamento termico di eliminazione degli additivi organici e consolidamento del manufatto finale. La membrana elettrolitica per l’ottenimento del bilayer anodo-elettrolita, è stata prodotta mediante sia serigrafia che colaggio su nastro. L’accurato studio dell’evoluzione di fase della polvere anodica, l’ottimizzazione della sospensione per colaggio su nastro e dei trattamenti termici hanno permesso l’ottenimento di anodi (fino a dimensioni di 10x10 cm2). Lo studio dei profili di sinterizzazione delle polveri anodica ed elettrolitica e dell’influenza della tecnica di formatura sulla sinterabilità dei layer elettrolitici prodotti hanno inoltre permesso l’ottenimento di una semicella planare costituita da un elettrodo poroso ed una membrana elettrolitica densa adatte per applicazioni SOEC.
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Lo studio della deidrogenazione catalitica di idrocarburi affronta uno dei problemi principali per l'applicazione delle fuel cells in aeromobili. La conversione di miscele di idrocarburi in H2 può essere eseguita in loco, evitando le difficoltà di stoccaggio dell'idrogeno: l'H2 prodotto è privo di CO e CO2 e può essere alimentato direttamente alle celle a combustibile per dare energia ai sistemi ausiliari, mentre i prodotti deidrogenati, mantenendo le loro originali caratteristiche possono essere riutilizzati come carburante. In questo un lavoro è stato effettuato uno studio approfondito sulla deidrogenazione parziale (PDH) di diverse miscele di idrocarburi e carburante avio JetA1 desolforato utilizzando Pt-Sn/Al2O3, con l'obiettivo di mettere in luce i principali parametri (condizioni di reazione e composizione di catalizzatore) coinvolti nel processo di deidrogenazione. Inoltre, la PDH di miscele idrocarburiche e di Jet-A1 ha evidenziato che il problema principale in questa reazione è la disattivazione del catalizzatore, a causa della formazione di residui carboniosi e dell’avvelenamento da zolfo. Il meccanismo di disattivazione da residui carboniosi è stato studiato a fondo, essendo uno dei principali fattori che influenzano la vita del catalizzatore e di conseguenza l'applicabilità processo. Alimentando molecole modello separatamente, è stato possibile discriminare le classi di composti che sono coinvolti principalmente nella produzione di H2 o nell’avvelenamento del catalizzatore. Una riduzione parziale della velocità di disattivazione è stata ottenuta modulando l'acidità del catalizzatore al fine di ottimizzare le condizioni di reazione. I catalizzatori Pt-Sn modificati hanno mostrato ottimi risultati in termini di attività, ma soffrono di una disattivazione rapida in presenza di zolfo. Così, la sfida finale di questa ricerca era sviluppare un sistema catalitico in grado di lavorare in condizioni reali con carburante ad alto tenore di zolfo, in questo campo sono stati studiati due nuove classi di materiali: Ni e Co fosfuri supportati su SiO2 e catalizzatori Pd-Pt/Al2O3.
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La demolizione idrolitica delle pareti cellulari delle piante tramite enzimi lignocellulosici è quindi uno degli approcci più studiati della valorizzazione di scarti agricoli per il recupero di fitochimici di valore come secondary chemical building block per la chimica industriale. White rot fungi come il Pleurotus ostreatus producono una vasta gamma di enzimi extracellulari che degradano substrati lignocellulosici complessi in sostanze solubili per essere utilizzati come nutrienti. In questo lavoro abbiamo studiato la produzione di diversi tipi di enzimi lignocellulosici quali cellulase, xilanase, pectinase, laccase, perossidase e arylesterase (caffeoilesterase e feruloilesterase), indotte dalla crescita di Pleurotus ostreatus in fermentazione allo stato solido (SSF) di sottoprodotti agroalimentari (graspi d’uva, vinaccioli, lolla di riso, paglia di grano e crusca di grano) come substrati. Negli ultimi anni, SSF ha ricevuto sempre più interesse da parte dei ricercatori, dal momento che diversi studi per produzioni di enzimi, aromi, coloranti e altre sostanze di interesse per l' industria alimentare hanno dimostrato che SSF può dare rendimenti più elevati o migliorare le caratteristiche del prodotto rispetto alla fermentazione sommersa. L’utilizzo dei sottoprodotti agroalimentari come substrati nei processi SSF, fornisce una via alternativa e di valore, alternativa a questi residui altrimenti sotto/o non utilizzati. L'efficienza del processo di fermentazione è stato ulteriormente studiato attraverso trattamenti meccanici di estrusione del substrato , in grado di promuovere il recupero dell’enzima e di aumentare l'attività prodotta. Le attività enzimatiche prodotte dalla fermentazione sono strettamente dipendente della rimozione periodica degli enzimi prodotti. Le diverse matrici vegetali utilizzate hanno presentato diversi fenomeni induttivi delle specifiche attività enzimatiche. I processi SSF hanno dimostrato una buona capacità di produrre enzimi extracellulari in grado di essere utilizzati successivamente nei processi idrolitici di bioraffinazione per la valorizzazione dei prodotti agroalimentari.
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Il progresso tecnologico nel campo della biologia molecolare, pone la comunità scientifica di fronte all’esigenza di dare un’interpretazione all’enormità di sequenze biologiche che a mano a mano vanno a costituire le banche dati, siano esse proteine o acidi nucleici. In questo contesto la bioinformatica gioca un ruolo di primaria importanza. Un nuovo livello di possibilità conoscitive è stato introdotto con le tecnologie di Next Generation Sequencing (NGS), per mezzo delle quali è possibile ottenere interi genomi o trascrittomi in poco tempo e con bassi costi. Tra le applicazioni del NGS più rilevanti ci sono senza dubbio quelle oncologiche che prevedono la caratterizzazione genomica di tessuti tumorali e lo sviluppo di nuovi approcci diagnostici e terapeutici per il trattamento del cancro. Con l’analisi NGS è possibile individuare il set completo di variazioni che esistono nel genoma tumorale come varianti a singolo nucleotide, riarrangiamenti cromosomici, inserzioni e delezioni. Va però sottolineato che le variazioni trovate nei geni vanno in ultima battuta osservate dal punto di vista degli effetti a livello delle proteine in quanto esse sono le responsabili più dirette dei fenotipi alterati riscontrabili nella cellula tumorale. L’expertise bioinformatica va quindi collocata sia a livello dell’analisi del dato prodotto per mezzo di NGS ma anche nelle fasi successive ove è necessario effettuare l’annotazione dei geni contenuti nel genoma sequenziato e delle relative strutture proteiche che da esso sono espresse, o, come nel caso dello studio mutazionale, la valutazione dell’effetto della variazione genomica. È in questo contesto che si colloca il lavoro presentato: da un lato lo sviluppo di metodologie computazionali per l’annotazione di sequenze proteiche e dall’altro la messa a punto di una pipeline di analisi di dati prodotti con tecnologie NGS in applicazioni oncologiche avente come scopo finale quello della individuazione e caratterizzazione delle mutazioni genetiche tumorali a livello proteico.
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The aim of Tissue Engineering is to develop biological substitutes that will restore lost morphological and functional features of diseased or damaged portions of organs. Recently computer-aided technology has received considerable attention in the area of tissue engineering and the advance of additive manufacture (AM) techniques has significantly improved control over the pore network architecture of tissue engineering scaffolds. To regenerate tissues more efficiently, an ideal scaffold should have appropriate porosity and pore structure. More sophisticated porous configurations with higher architectures of the pore network and scaffolding structures that mimic the intricate architecture and complexity of native organs and tissues are then required. This study adopts a macro-structural shape design approach to the production of open porous materials (Titanium foams), which utilizes spatial periodicity as a simple way to generate the models. From among various pore architectures which have been studied, this work simulated pore structure by triply-periodic minimal surfaces (TPMS) for the construction of tissue engineering scaffolds. TPMS are shown to be a versatile source of biomorphic scaffold design. A set of tissue scaffolds using the TPMS-based unit cell libraries was designed. TPMS-based Titanium foams were meant to be printed three dimensional with the relative predicted geometry, microstructure and consequently mechanical properties. Trough a finite element analysis (FEA) the mechanical properties of the designed scaffolds were determined in compression and analyzed in terms of their porosity and assemblies of unit cells. The purpose of this work was to investigate the mechanical performance of TPMS models trying to understand the best compromise between mechanical and geometrical requirements of the scaffolds. The intention was to predict the structural modulus in open porous materials via structural design of interconnected three-dimensional lattices, hence optimising geometrical properties. With the aid of FEA results, it is expected that the effective mechanical properties for the TPMS-based scaffold units can be used to design optimized scaffolds for tissue engineering applications. Regardless of the influence of fabrication method, it is desirable to calculate scaffold properties so that the effect of these properties on tissue regeneration may be better understood.
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Approximately 25% of acute myeloid leukemias (AMLs) carry internal tandem duplications (ITD) of various lengths within the gene encoding the FMS-like tyrosine kinase receptor 3 (FLT3). Although varying duplication sites exist, most of these length mutations affect the protein´s juxtamembrane domain. FLT3-ITDs support leukemic transformation by constitutive phosphorylation resulting in uncontrolled activation, and their presence is associated with worse prognosis. As known form previous work, they represent leukemia- and patient-specific neoantigens that can be recognized by autologous AML-reactive CD8+ T cells (Graf et al., 2007; Graf et al., unpublished). Herein, in patient FL, diagnosed with FLT3-ITD+ AML and in first complete remission after induction chemotherapy, T cells against her leukemia´s individual FLT3-ITD were detected at a frequency up to 1.7x10-3 among peripheral blood CD8+ T lymphocytes. This rather high frequency suggested, that FLT3-ITD-reactive T cells had been expanded in vivo due to the induction of an anti-leukemia response.rnrnCell material from AML patients is limited, and the patients´ anti-leukemia T-cell repertoire might be skewed, e.g. due to complex previous leukemia-host interactions and chemotherapy. Therefore, allogeneic sources, i.e. buffy coats (BCs) from health donors and umbilical cord blood (UCB) donations, were exploited for the presence and the expansion of FLT3-ITD-reactive T-cell populations. BC- and UCB-derived CD8+ T cells, were distributed at 105 cells per well on microtiter plates and, were stimulated with antigen-presenting cells (APCs) transfected with in vitro-transcribed mRNA (IVT-mRNA) encoding selected FTL3-ITDs. APCs were autologous CD8- blood mononuclear cells, monocytes or FastDCs.rnrnBuffy coat lymphocytes from 19 healthy individuals were analyzed for CD8+ T-cell reactivity against three immunogenic FLT3-ITDs previously identified in patients VE, IN and QQ and designated as VE_, IN_ and QQ_FLT3-ITD, respectively. These healthy donors carried at least one of the HLA I alleles known to present an ITD-derived peptide from one of these FLT3-ITDs. Reactivities against single ITDs were observed in 8/19 donors. In 4 donors the frequencies of ITD-reactive T cells were determined and were estimated to be in the range of 1.25x10-6 to 2.83x10-7 CD8+ T cells. These frequencies were 1,000- to 10,000-fold lower than the frequency of autologous FLT3-ITD-reactive T cells observed in patient FL. Restricting HLA I molecules were identified in two donors. In one of them, the recognition of VE_FLT3-ITD was found to be restricted by HLA-C*07:02, which is different from the HLA allele restricting the anti-ITD T cells of patient VE. In another donor, the recognition of IN_FLT3-ITD was restricted by HLA-B*35:01, which also had been observed in patient IN (Graf et al., unpublished). By gradual 3´-fragmentation of the IN_FLT3-ITD cDNA, the 10-mer peptide CPSDNEYFYV was identified as the target of allogeneic T cells against IN_FLT3-ITD. rnLymphocytes in umbilical cord blood predominantly exhibit a naïve phenotype. Seven UCB donations were analyzed for T-cell responses against the FLT3-ITDs of patients VE, IN, QQ, JC and FL irrespective of their HLA phenotype. ITD-reactive responses against all stimulatory FLT3-ITDs were observed in 5/7 UCB donations. The frequencies of T cells against single FLT3-ITDs in CD8+ lymphocytes were estimated to be in the range of 1.8x10-5 to 3.6x10-6, which is nearly 15-fold higher than the frequencies observed in BCs. Restricting HLA I molecules were identified in 4 of these 5 positive UCB donations. They were mostly different from those observed in the respective patients. But in one UCB donation T cells against the JC_FLT3-ITD had exactly the same peptide specificity and HLA restriction as seen before in patient JC (Graf et al., 2007). Analyses of UCB responder lymphocytes led to the identification of the 10-mer peptide YESDNEYFYV, encoded by FL_FLT3-ITD, that was recognized in association with the frequent allele HLA-A*02:01. This peptide was able to stimulate and enrich ITD-reactive T cells from UCB lymphocytes in vitro. Peptide responders not only recognized the peptide, but also COS-7 cells co-transfected with FL_FLT3-ITD and HLA-A*02:01.rnrnIn conclusion, T cells against AML- and individual-specific FLT3-ITDs were successfully generated not only from patient-derived blood, but also from allogeneic sources. Thereby, ITD-reactive T cells were detected more readily and at higher frequencies in umbilical cord blood than in buffy coat lymphocytes. It occurred that peptide specificity and HLA restriction of allogeneic, ITD-reactive T cells were identical to autologous patient-derived T cells. As shown herein, allogeneic, FLT3-ITD-reactive T cells can be used for the identification of FLT3-ITD-encoded peptides, e.g. for future therapeutic vaccination studies. In addition, these T cells or their receptors can be applied to adoptive transfer.
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Heart diseases are the leading cause of death worldwide, both for men and women. However, the ionic mechanisms underlying many cardiac arrhythmias and genetic disorders are not completely understood, thus leading to a limited efficacy of the current available therapies and leaving many open questions for cardiac electrophysiologists. On the other hand, experimental data availability is still a great issue in this field: most of the experiments are performed in vitro and/or using animal models (e.g. rabbit, dog and mouse), even when the final aim is to better understand the electrical behaviour of in vivo human heart either in physiological or pathological conditions. Computational modelling constitutes a primary tool in cardiac electrophysiology: in silico simulations, based on the available experimental data, may help to understand the electrical properties of the heart and the ionic mechanisms underlying a specific phenomenon. Once validated, mathematical models can be used for making predictions and testing hypotheses, thus suggesting potential therapeutic targets. This PhD thesis aims to apply computational cardiac modelling of human single cell action potential (AP) to three clinical scenarios, in order to gain new insights into the ionic mechanisms involved in the electrophysiological changes observed in vitro and/or in vivo. The first context is blood electrolyte variations, which may occur in patients due to different pathologies and/or therapies. In particular, we focused on extracellular Ca2+ and its effect on the AP duration (APD). The second context is haemodialysis (HD) therapy: in addition to blood electrolyte variations, patients undergo a lot of other different changes during HD, e.g. heart rate, cell volume, pH, and sympatho-vagal balance. The third context is human hypertrophic cardiomyopathy (HCM), a genetic disorder characterised by an increased arrhythmic risk, and still lacking a specific pharmacological treatment.
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Für eine effektive Erkennung tumorassoziierter Kohlenhydratantigene durch das Immun-system in der Krebs¬immuntherapie ist eine multivalente Präsentation der Haptene notwendig. In der vorliegenden Arbeit wurde ein neuer Zugang zu einer solch räumlichen Konzentration der Haptene untersucht, indem MUC1-Antigene mit perfluorierten Alkylketten funktionalisiert und in einer geeigneten Lipidmatrix entmischt wurden. Perfluoralkyl-Amphiphile zeichnen sich durch eine hohe Entmischungstendenz in Alkyllipiden aus und bewirken dadurch eine Anreicherung der Erkennungsstrukturen (Haptene) in Analogie zu den natürlichen raft-Domänen auf der Zelloberfläche.rnDazu wurden zunächst verschiedene Membranankersysteme mit unterschiedlichem Fluorierungsgrad entwickelt. Beispielsweise konnte ausgehend von einem zentralen Glycerin-fragment ein Membrananker mit zwei Perfluoralkylketten hergestellt werden. Letztere wurden mittels radikalischer Perfluoralkylierung eingeführt, wobei der Fluorgehalt der Verbindung über die Kettenlänge gesteuert wurde. Daneben konnte ein weiteres Ankersystem, basierend auf der Aminosäure Lysin, synthetisiert werden, dass einen bequemen Einbau der Perfluoralkylketten durch Peptidkupplungen von entsprechenden perfluorierten Aminen bzw. perfluorierten Carbonsäuren erlaubte. In diesem Fall wurde der Fluorgehalt durch die Einführung von Alkyl- bzw. Perfluoralkylketten verändert.rnBeide Systeme konnten für erste Untersuchungen ihres Phasenverhaltens mit polaren Kopf-gruppen ausgestattet werden, wobei neben einem hydrophilen, nicht-immunogenen Triethylenglycolspacer vor allem ein TN-Antigen tragendes Dipeptid zum Einsatz kam. In Gegenwart des Matrixlipids DODAMA konnten in Langmuir-Blodgett-Untersuchungen mit diesen Verbindungen eine Entmischung und die Ausbildung mikroseparierter Bereiche nachgewiesen werden. Auch war es möglich, durch Anbindung eines Fluoreszenzfarbstoffes zu zeigen, dass solche amphiphilen Membrananker auf perfluorierten Oberflächen effektiv und dauerhaft immobilisiert werden können. Damit eröffnet diese Verbindungsklasse interessante Anwendungsmöglichkeiten in der Entwicklung von diagnostischen Microarray-Formaten.rnUm eine Anbindung der fluorierten Membrananker an den N-Terminus eines an fester Phase aufgebauten mucinanalogen Glycopeptids als antigene Einheit zu ermöglichen, wurde ein entsprechendes Ankersystem auf Basis von Glutaminsäure entwickelt. Dabei wurden an diese Verbindung neben dem TN-Antigen noch weitere komplexe tumorassoziierte Kohlenhydrat-antigene des Mucintyps angebunden, wobei der Aufbau der resultierenden amphiphilen Glycolipopeptide vollständig an der festen Phase gelang. Insgesamt konnten so mithilfe des teilfluorierten Lysinankers und des zweifach perfluorierten Glutaminsäureankers erste amphiphile Glycopeptid-Konjugate hergestellt werden, deren antigene Kopfgruppe aus einer 20 Aminosäuren umfassenden Wiederholungseinheit des Mucins MUC1 mit TN-, T- bzw. STN-Antigen-Seitenkette besteht. Derartige Verbindungen stellen reizvolle Bausteine für die Tumordiagnostik und für die Entwicklung von stabilen liposomalen Tumorvakzinen dar, da die verwendeten Perfluoralkylanker die Antigenpräsentation nicht wesentlich beeinflussen und die Bindung des Antikörpers nicht behindern. rn
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Questo elaborato tratta la realizzazione di una scheda a circuito stampato. Essa è stata pensata con il compito di testare un circuito integrato per l'Energy Harvesting, progettato dall'Univesità di Bologna. La scheda implementerà numerose sorgenti alternative eterogenee Low-Power, cosicché il circuito integrato riuscirà ad estrapolarne una carica elettrica fino ad un massimo di alcuni milliwatt. Questa potenza sarà sufficiente ad alimentare qualsiasi dispositivo Low-Power.
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Dall'analisi dei big data si possono trarre degli enormi benefici in svariati ambiti applicativi. Uno dei fattori principali che contribuisce alla ricchezza dei big data, consiste nell'uso non previsto a priori di dati immagazzinati in precedenza, anche in congiunzione con altri dataset eterogenei: questo permette di trovare correlazioni significative e inaspettate tra i dati. Proprio per questo, il Valore, che il dato potenzialmente porta con sè, stimola le organizzazioni a raccogliere e immagazzinare sempre più dati e a ricercare approcci innovativi e originali per effettuare analisi su di essi. L’uso fortemente innovativo che viene fatto dei big data in questo senso e i requisiti tecnologici richiesti per gestirli hanno aperto importanti problematiche in materia di sicurezza e privacy, tali da rendere inadeguati o difficilmente gestibili, gli strumenti di sicurezza utilizzati finora nei sistemi tradizionali. Con questo lavoro di tesi si intende analizzare molteplici aspetti della sicurezza in ambito big data e offrire un possibile approccio alla sicurezza dei dati. In primo luogo, la tesi si occupa di comprendere quali sono le principali minacce introdotte dai big data in ambito di privacy, valutando la fattibilità delle contromisure presenti all’attuale stato dell’arte. Tra queste anche il controllo dell’accesso ha riscontrato notevoli sfide causate dalle necessità richieste dai big data: questo elaborato analizza pregi e difetti del controllo dell’accesso basato su attributi (ABAC), un modello attualmente oggetto di discussione nel dibattito inerente sicurezza e privacy nei big data. Per rendere attuabile ABAC in un contesto big data, risulta necessario l’ausilio di un supporto per assegnare gli attributi di visibilità alle informazioni da proteggere. L’obiettivo di questa tesi consiste nel valutare fattibilità, caratteristiche significative e limiti del machine learning come possibile approccio di utilizzo.
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The risk of Hodgkin lymphoma (HL) is increased in patients infected with HIV-1. We studied the incidence and outcomes of HL, and compared CD4⁺ T-cell trajectories in HL patients and controls matched for duration of combination antiretroviral therapy (cART). A total of 40 168 adult HIV-1-infected patients (median age, 36 years; 70% male; median CD4 cell count, 234 cells/μL) from 16 European cohorts were observed during 159 133 person-years; 78 patients developed HL. The incidence was 49.0 (95% confidence interval [CI], 39.3-61.2) per 100,000 person-years, and similar on cART and not on cART (P = .96). The risk of HL declined as the most recent (time-updated) CD4 count increased: the adjusted hazard ratio comparing more than 350 with less than 50 cells/μL was 0.27 (95% CI, 0.08-0.86). Sixty-one HL cases diagnosed on cART were matched to 1652 controls: during the year before diagnosis, cases lost 98 CD4 cells (95% CI, -159 to -36 cells), whereas controls gained 35 cells (95% CI, 24-46 cells; P < .0001). The incidence of HL is not reduced by cART, and patients whose CD4 cell counts decline despite suppression of HIV-1 replication on cART may harbor HL.
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This study investigates the effect of cell phones on economic development and growth by performing an econometric analysis using data from the International Telecommunications Union and the Penn World Table. It discusses the various ways cell phones can make markets more efficient and how the diffusion of information andknowledge plays into development. Several approaches (OLS, Fixed Effects, 2SLS) were used to test over 20 econometric models. Overall, the mobile cellular subscriptions rate was found to have a positive and significant impact on countries’ level of real per capitaGDP and GDP growth rate. Furthermore, the study provides policy implications for the use of technology to promote global growth.
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Background Data on combination antiretroviral therapy (cART) in remote rural African regions is increasing. Methods We assessed prospectively initial cART in HIV-infected adults treated from 2005 to 2008 at St. Francis Designated District Hospital, Ifakara, Tanzania. Adherence was assisted by personal adherence supporters. We estimated risk factors of death or loss to follow-up by Cox regression during the first 12 months of cART. Results Overall, 1,463 individuals initiated cART, which was nevirapine-based in 84.6%. The median age was 40 years (IQR 34-47), 35.4% were males, 7.6% had proven tuberculosis. Median CD4 cell count was 131 cells/μl and 24.8% had WHO stage 4. Median CD4 cell count increased by 61 and 130 cells/μl after 6 and 12 months, respectively. 215 (14.7%) patients modified their treatment, mostly due to toxicity (56%), in particular polyneuropathy and anemia. Overall, 129 patients died (8.8%) and 189 (12.9%) were lost to follow-up. In a multivariate analysis, low CD4 cells at starting cART were associated with poorer survival and loss to follow-up (HR 1.77, 95% CI 1.15-2.75, p = 0.009; for CD4 <50 compared to >100 cells/μl). Higher weight was strongly associated with better survival (HR 0.63, 95% CI 0.51-0.76, p < 0.001 per 10 kg increase). Conclusions cART initiation at higher CD4 cell counts and better general health condition reduces HIV related mortality in a rural African setting. Efforts must be made to promote earlier HIV diagnosis to start cART timely. More research is needed to evaluate effective strategies to follow cART at a peripheral level with limited technical possibilities.
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Hepatocyte growth factor (HGF) is involved in development and regeneration of the lungs. Human HGF, which was expressed specifically by alveolar epithelial type II cells after gene transfer, attenuated the bleomycin-induced pulmonary fibrosis in an animal model. As there are also regions that appear morphologically unaffected in fibrosis, the effects of this gene transfer to normal lungs is of interest. In vitro studies showed that HGF inhibits the formation of the basal lamina by cultured alveolar epithelial cells. Thus we hypothesized that, in the healthy lung, cell-specific expression of HGF induces a remodeling within septal walls. Electroporation of a plasmid of human HGF gene controlled by the surfactant protein C promoter was applied for targeted gene transfer. Using design-based stereology at light and electron microscopic level, structural alterations were analyzed and compared with a control group. HGF gene transfer increased the volume of distal air spaces, as well as the surface area of the alveolar epithelium. The volume of septal walls, as well as the number of alveoli, was unchanged. Volumes per lung of collagen and elastic fibers were unaltered, but a marked reduction of the volume of residual extracellular matrix (all components other than collagen and elastic fibers) and interstitial cells was found. A correlation between the volumes of residual extracellular matrix and distal air spaces, as well as total surface area of alveolar epithelium, could be established. Cell-specific expression of HGF leads to a remodeling of the connective tissue within the septal walls in the healthy lung, which is associated with more pronounced stretching of distal air spaces at a given hydrostatic pressure during instillation fixation.