Adherence to therapeuthic regimen and metabolic control of type 1 diabetes

Abstract Objectives: To assess the adherence to therapeutic regimen; to determine the Hemoglobin Glycation Index (HbA1c); to analyse the relationship that exists between the adherence to therapeutic regimen and metabolic control. Design: correlational analytical study, carried out according to a cross-sectional perspective. Participants: A non-probabilistic sample of 266 people with type 1 diabetes aged between 18 and 78 years old (mean M = 51.02 ± SD = 18.710), attending follow-up diabetes consultations. Mostly male individuals (51.88%), with low schooling level (50.75% had only inished elementar school). Measuring Instruments: We used the following data collection tools: a questionnaire on clinical and socio-demographic data, blood analysis of venous blood to determine the glycated hemoglobin level (HbA1c).Three self-report scales were used: Accession to Diabetes Treatment (Matos, 1999), Self-perception Scale (Vaz Serra, 1986) and Social Support Scale (Matos & Rodrigues, 2000). Results: In a sample in which the mean disease duration is 12.75 years, 69.17% of the sample run glycemic control tests between once a day and four times a year and 42.86% of them undergo insulin treatment. In the last 3 weeks, 26.32% of these people have experienced an average of 4.22 to 44.36%, hypoglycemic crises and experienced an average of 6.18 hyperglycemic crises. 57% of the individuals have showed a poor metabolic control (mean HbA1c higher than 7.5% (HbA1c mean M ≥ 7.50%). The mean psychosocial proile revealed individuals who show a decent self-esteem (M = 70.81) and acceptable social support (M = 58.89). Conclusions: The results suggest we should develop a kind of investigation that could be used to monitor the strenght of the mediation effect effect of the psychosocial predictive dimension of the adherence, since it has become essential to support a multidisciplinary approach which center lays in the promotion of a co-responsible self-management from the person who suffers from diabetes. This will enable a better quality of life; fewer years of people’s lives lost prematurely and a better health with less economical costs for citizens and healthcare systems.

Design et synthèse d’inhibiteurs d’une ectonucléotide pyrophosphatase/phosphodiestérase de type 1 (ENPP1) et leur activité anticancéreuse

La calcification de la valve aortique (CVA) est une maladie cardiovasculaire de plus en plus répandue, particulièrement en Amérique du Nord. Elle cause le rétrécissement de la valve aortique et le seul traitement actuellement disponible est le remplacement chirurgical. Des études menées par le Dr Patrick Mathieu (Institut de Cardiologie et de Pneumologie de Québec) ont montré qu’une surexpression d’une ectonucléotide pyrophosphatase/phosphodiestérase de type 1 (ENPP1) est à l’origine de cette sténose. Une solution à cette maladie serait donc de trouver un inhibiteur d’ENPP1. Inspirées des travaux du groupe de Pfizer visant ENPP1 pour le traitement de la chondrocalcinose articulaire et l’ostéoarthrite, quelques familles d’inhibiteurs de type quinazoline-4-pipéridine sulfamides (QPS) ont été synthétisés et testées in vitro. Une étude en modélisation moléculaire sur le site potentiel de liaison des inhibiteurs sur ENPP1 est en cours, en collaboration avec le Pr Patrick Lagüe (Université Laval, Département de biochimie, microbiologie et bio-informatique) et son équipe pour optimiser le design de la structure des composés. Les composés d’une des familles, les QPS-pyrimidine, ont été testés in vitro sur quelques lignées cellulaires cancéreuses (HT-1080, HT-29, M21 et MCF-7) pour mesurer leur activité antiproliférative. Ces composés ont une inhibition de croissance médiane (IC50) de l’ordre du micromolaire et représentent donc un point de départ intéressant pour la mise au point de nouveaux traitements anticancéreux.

Anxiety, stress and depression in young adults with type 1 Diabetes

Introdução: A vida dos jovens adultos com diabetes tipo 1 (DM1) tem muitas exigências e as consequências psicológicas da adesão contínua aos aspetos do tratamento pode afetar a qualidade de vida. Objetivos: Conhecer o suporte social, satisfação com a vida, ansiedade, stresse e depressão nos jovens adultos com DM1. Material e Métodos: Estudo quantitativo realizado com 278 jovens adultos com DM1 (18 - 35 anos). Resultados: Os jovens consideram ter bom suporte social. A média de satisfação com a vida é 6,6 ±1,7 (escala 0-10). A maior parte dos jovens não apresenta estados persistentes de ansiedade e de excitação e tensão (stresse), pelo que têm resistência à frustração e desilusão. A maioria dos jovens não apresenta sintomas de depressão, revelando auto-estima, sentimentos positivos, motivação, entusiasmo e perceção da probabilidade de alcançar objetivos de vida que sejam significativos. A análise fatorial das escalas de ansiedade, stresse e depressão permitiu encontrar 3 fatores que explicam 50% da variância total: stresse (36%), ansiedade (8%), depressão (6%). Conclusões: Os jovens adultos com DM1 têm bom suporte social e satisfação com a vida. A maior parte dos jovens não revela sintomas de ansiedade, stresse e depressão. O suporte social e a satisfação com a vida poderão contribuir para uma boa saúde mental.

Regulation of lymphocyte response in vitro and in vivo

CD4+ T helper (Th) cells have an important role in the defence against diverse pathogens. Th cells can differentiate into several functionally distinct subtypes including Th1 and Th2 cells. Th1 cells are important for eradicating intracellular pathogens, whereas Th2 cells pro¬tect our body against extracellular parasites. However if uncontrolled, Th cells can mediate immunopathology such as asthma or allergies, but inappropriate Th response can also lead to autoimmune diseases such as multiple sclerosis or type 1 diabetes. Deeper knowledge of the regulation of the lymphocyte response both in vitro and in vivo is important for un¬derstanding the pathogenesis of immune-mediated diseases and microbe-host interactions. In the work presented in this thesis, the first goal was to elucidate the role of novel factors, PIM kinases and c-FLIP in the regulation of human Th cell differentiation. The oncogenic serine-threonine kinases of the PIM family were shown to be preferentially expressed in Th1 cells and in addition, by using RNA interference, they were also shown to be positive regulators of Th1 differentiation. The PIM depletion experiments suggest that PIM kinases promote the expression of the hallmark cytokine of Th1 cells, IFNγ, and influence the IL12/STAT4 pathway during the early Th1 cell differentiation. In addition to cytokine and T cell receptor (TCR) induced pathways, caspase activity has been shown to regulate Th cell proliferation. In the work presented in this thesis, the two isoforms of the caspase regulator protein, c-FLIP, were shown to be differentially ex¬pressed in Th1 and Th2 cells. Both of the isoforms were up-regulated in response to TCR activation, but the expression of the short isoform was selectively induced by IL4, the Th2 inducing cytokine. Furthermore, the c-FLIP isoforms had distinct and opposite roles during the early differentiation of Th1 and Th2 cells. The knockdown of the long isoform of c-FLIP led to the induction of Th1 marker genes, such as IFNγ and TBET, whereas the depletion of c-FLIP short down-regulated Th2 marker genes IL-4 and GATA3. The third goal was to elucidate the gene expression profiles characterizing the T- and B-lymphocyte responses in vivo during experimental infection by intracellular bacte¬rium Chlamydia pneumoniae. Previously, it has been shown that CD8+ and CD4+ T cells are important for the protection against Chlamydia pneumoniae. In this study, the analysis revealed up-regulation of interferon induced genes during recurrent infection underlining the importance of IFNγ secreted by Th1 and CD8+ T cells in the protection against this pathogen. Taken together, in this study novel regulators of Th cell differ¬entiation were discovered and in addition the gene expression profiles of lymphocytes induced by Chlamydia pneumoniae infection were characterized.

How Does Age at Onset Influence the Outcome of Autoimmune Diseases?

The age at onset refers to the time period at which an individual experiences the first symptoms of a disease. In autoimmune diseases (ADs), these symptoms can be subtle but are very relevant for diagnosis. They can appear during childhood, adulthood or late in life and may vary depending on the age at onset. Variables like mortality and morbidity and the role of genes will be reviewed with a focus on the major autoimmune disorders, namely, systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), multiple sclerosis (MS), type 1 diabetes mellitus (T1D), Sjögren's syndrome, and autoimmune thyroiditis (AITD). Early age at onset is a worst prognostic factor for some ADs (i.e., SLE and T1D), while for others it does not have a significant influence on the course of disease (i.e., SS) or no unanimous consensus exists (i.e., RA and MS).

How do autoimmune diseases cluster in families? A systematic review and meta-analysis

Background: A primary characteristic of complex genetic diseases is that affected individuals tend to cluster in families (that is, familial aggregation). Aggregation of the same autoimmune condition, also referred to as familial autoimmune disease, has been extensively evaluated. However, aggregation of diverse autoimmune diseases, also known as familial autoimmunity, has been overlooked. Therefore, a systematic review and meta-analysis were performed aimed at gathering evidence about this topic. Methods: Familial autoimmunity was investigated in five major autoimmune diseases, namely, rheumatoid arthritis, systemic lupus erythematosus, autoimmune thyroid disease, multiple sclerosis and type 1 diabetes mellitus. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were followed. Articles were searched in Pubmed and Embase databases. Results: Out of a total of 61 articles, 44 were selected for final analysis. Familial autoimmunity was found in all the autoimmune diseases investigated. Aggregation of autoimmune thyroid disease, followed by systemic lupus erythematosus and rheumatoid arthritis, was the most encountered. Conclusions: Familial autoimmunity is a frequently seen condition. Further study of familial autoimmunity will help to decipher the common mechanisms of autoimmunity.

O transplante de células-tronco hematopoéticas como opção no tratamento de doenças não hematológicas

Nesta revisão são abordadas as doenças em que existem dados e perspectivas do uso de transplante de células-tronco hematopoéticas em suas diversas modalidades. São apresentados também os aspectos referentes aos regimes de condicionamento empregados, e sua relação com toxicidade e taxa de mortalidade ligadas ao transplante. São apresentadas as doenças autoimunes e particularizados dados específicos do lúpus eritematoso sistêmico, esclerose sistêmica e esclerose múltipla e diabetes mellitus tipo 1. A base do procedimento nas doenças autoimunes é a reprogramação imunológica. Aparentemente o procedimento tem sua indicação nas doenças em que os tratamentos convencionais de imunossupressão tenham falhado, e o dano orgânico não tenha sido definitivo, mas tenha chance de ocorrer caso não seja realizado o transplante. A modalidade aparentemente indicada no momento deve ser o transplante de células-tronco autogênico com regimes de condicionamento não mieloablativo para se obter sobrevivência estimada em mais de 50% em todas as doenças, com baixa toxicidade e com mortalidade nula ligada ao transplante. São apresentados também os resultados nos tumores sólidos, que são discutíveis, e particularidades no câncer de mama. A aparente indicação para os tumores sólidos é transplante de células-tronco alogênico e se baseia no tratamento intensivo com doses mieloablativas com a finalidade de se induzir o efeito enxerto contra o tumor. Os regimes não mieloablativos são preconizados com a finalidade de redução da toxicidade e indução de imunossupressão, sendo os dados insuficientes e discutíveis, o que obriga a introdução de novas estratégias terapêuticas baseadas na terapia imune e celular.

Suppression of keratinocyte growth and differentiation by transforming growth factor beta 1 involves multiple signaling pathways

Transforming growth factor beta1 treatment of keratinocytes results in a suppression of differentiation, an induction of extracellular matrix production, and a suppression of growth. In this study we utilized markers specific for each of these functions to explore the signaling pathways involved in mediating these transforming-growth-factor-beta1-induced activities. In the first instance, we found that the induction of extracellular matrix production (characterized by 3TP-Lux reporter activity) was induced in both keratinocytes and a keratinocyte-derived carcinoma cell line, SCC25, in a dose-dependent manner. Furthermore, transforming growth factor beta1 also suppressed the differentiation-specific marker gene, transglutaminase type 1, in both keratinocytes and SCC25 cells. In contrast, transforming growth factor beta1 inhibited proliferation of keratinocytes but did not cause growth inhibition in the SCC25 cells. Transforming-growth-factor-beta1-induced growth inhibition of keratinocytes was characterized by decreases in DNA synthesis, accumulation of hypophosphorylated Rb, and the inhibition of the E2F:Rb-responsive promoter, cdc2, and an induction of the p21 promoter. When the negative regulator of transforming growth factor beta1 signaling, SMAD7, was overexpressed in keratinocytes it could prevent transforming-growth-factor-beta1-induced activation of the 3TP-Lux and the p21 promoter. SMAD7 could also prevent the suppression of the transglutaminase type 1 by transforming growth factor beta1 but it could not inhibit the repression of the cdc2 promoter. These data indicate that the induction of 3TP-Lux and p21 and the suppression of transglutaminase type 1 are mediated by a different proximate signaling pathway to that regulating the suppression of the cdc2 gene. Combined, these data indicate that the regulation of transforming growth factor beta1 actions are complex and involve multiple signaling pathways.

Type I IFN-mediated regulation of IL-1 production in inflammatory disorders.

Although contributing to inflammatory responses and to the development of certain autoimmune pathologies, type I interferons (IFNs) are used for the treatment of viral, malignant, and even inflammatory diseases. Interleukin-1 (IL-1) is a strongly pyrogenic cytokine and its importance in the development of several inflammatory diseases is clearly established. While the therapeutic use of IL-1 blocking agents is particularly successful in the treatment of innate-driven inflammatory disorders, IFN treatment has mostly been appreciated in the management of multiple sclerosis. Interestingly, type I IFNs exert multifaceted immunomodulatory effects, including the reduction of IL-1 production, an outcome that could contribute to its efficacy in the treatment of inflammatory diseases. In this review, we summarize the current knowledge on IL-1 and IFN effects in different inflammatory disorders, the influence of IFNs on IL-1 production, and discuss possible therapeutic avenues based on these observations.

Influência do bloqueio de receptores do tipo 1 (AT1) sobre o perfil metabólico, endócrino e cardiovascular de ratos obesos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Extracción de conocimientos de la diabetes tipo 1 utilizando la metodología de "Data Mining"

La diabetes mellitus es un trastorno en la metabolización de los carbohidratos, caracterizado por la nula o insuficiente segregación de insulina (hormona producida por el páncreas), como resultado del mal funcionamiento de la parte endocrina del páncreas, o de una creciente resistencia del organismo a esta hormona. Esto implica, que tras el proceso digestivo, los alimentos que ingerimos se transforman en otros compuestos químicos más pequeños mediante los tejidos exocrinos. La ausencia o poca efectividad de esta hormona polipéptida, no permite metabolizar los carbohidratos ingeridos provocando dos consecuencias: Aumento de la concentración de glucosa en sangre, ya que las células no pueden metabolizarla; consumo de ácidos grasos mediante el hígado, liberando cuerpos cetónicos para aportar la energía a las células. Esta situación expone al enfermo crónico, a una concentración de glucosa en sangre muy elevada, denominado hiperglucemia, la cual puede producir a medio o largo múltiples problemas médicos: oftalmológicos, renales, cardiovasculares, cerebrovasculares, neurológicos… La diabetes representa un gran problema de salud pública y es la enfermedad más común en los países desarrollados por varios factores como la obesidad, la vida sedentaria, que facilitan la aparición de esta enfermedad. Mediante el presente proyecto trabajaremos con los datos de experimentación clínica de pacientes con diabetes de tipo 1, enfermedad autoinmune en la que son destruidas las células beta del páncreas (productoras de insulina) resultando necesaria la administración de insulina exógena. Dicho esto, el paciente con diabetes tipo 1 deberá seguir un tratamiento con insulina administrada por la vía subcutánea, adaptado a sus necesidades metabólicas y a sus hábitos de vida. Para abordar esta situación de regulación del control metabólico del enfermo, mediante una terapia de insulina, no serviremos del proyecto “Páncreas Endocrino Artificial” (PEA), el cual consta de una bomba de infusión de insulina, un sensor continuo de glucosa, y un algoritmo de control en lazo cerrado. El objetivo principal del PEA es aportar al paciente precisión, eficacia y seguridad en cuanto a la normalización del control glucémico y reducción del riesgo de hipoglucemias. El PEA se instala mediante vía subcutánea, por lo que, el retardo introducido por la acción de la insulina, el retardo de la medida de glucosa, así como los errores introducidos por los sensores continuos de glucosa cuando, se descalibran dificultando el empleo de un algoritmo de control. Llegados a este punto debemos modelar la glucosa del paciente mediante sistemas predictivos. Un modelo, es todo aquel elemento que nos permita predecir el comportamiento de un sistema mediante la introducción de variables de entrada. De este modo lo que conseguimos, es una predicción de los estados futuros en los que se puede encontrar la glucosa del paciente, sirviéndonos de variables de entrada de insulina, ingesta y glucosa ya conocidas, por ser las sucedidas con anterioridad en el tiempo. Cuando empleamos el predictor de glucosa, utilizando parámetros obtenidos en tiempo real, el controlador es capaz de indicar el nivel futuro de la glucosa para la toma de decisones del controlador CL. Los predictores que se están empleando actualmente en el PEA no están funcionando correctamente por la cantidad de información y variables que debe de manejar. Data Mining, también referenciado como Descubrimiento del Conocimiento en Bases de Datos (Knowledge Discovery in Databases o KDD), ha sido definida como el proceso de extracción no trivial de información implícita, previamente desconocida y potencialmente útil. Todo ello, sirviéndonos las siguientes fases del proceso de extracción del conocimiento: selección de datos, pre-procesado, transformación, minería de datos, interpretación de los resultados, evaluación y obtención del conocimiento. Con todo este proceso buscamos generar un único modelo insulina glucosa que se ajuste de forma individual a cada paciente y sea capaz, al mismo tiempo, de predecir los estados futuros glucosa con cálculos en tiempo real, a través de unos parámetros introducidos. Este trabajo busca extraer la información contenida en una base de datos de pacientes diabéticos tipo 1 obtenidos a partir de la experimentación clínica. Para ello emplearemos técnicas de Data Mining. Para la consecución del objetivo implícito a este proyecto hemos procedido a implementar una interfaz gráfica que nos guía a través del proceso del KDD (con información gráfica y estadística) de cada punto del proceso. En lo que respecta a la parte de la minería de datos, nos hemos servido de la denominada herramienta de WEKA, en la que a través de Java controlamos todas sus funciones, para implementarlas por medio del programa creado. Otorgando finalmente, una mayor potencialidad al proyecto con la posibilidad de implementar el servicio de los dispositivos Android por la potencial capacidad de portar el código. Mediante estos dispositivos y lo expuesto en el proyecto se podrían implementar o incluso crear nuevas aplicaciones novedosas y muy útiles para este campo. Como conclusión del proyecto, y tras un exhaustivo análisis de los resultados obtenidos, podemos apreciar como logramos obtener el modelo insulina-glucosa de cada paciente. ABSTRACT. The diabetes mellitus is a metabolic disorder, characterized by the low or none insulin production (a hormone produced by the pancreas), as a result of the malfunctioning of the endocrine pancreas part or by an increasing resistance of the organism to this hormone. This implies that, after the digestive process, the food we consume is transformed into smaller chemical compounds, through the exocrine tissues. The absence or limited effectiveness of this polypeptide hormone, does not allow to metabolize the ingested carbohydrates provoking two consequences: Increase of the glucose concentration in blood, as the cells are unable to metabolize it; fatty acid intake through the liver, releasing ketone bodies to provide energy to the cells. This situation exposes the chronic patient to high blood glucose levels, named hyperglycemia, which may cause in the medium or long term multiple medical problems: ophthalmological, renal, cardiovascular, cerebrum-vascular, neurological … The diabetes represents a great public health problem and is the most common disease in the developed countries, by several factors such as the obesity or sedentary life, which facilitate the appearance of this disease. Through this project we will work with clinical experimentation data of patients with diabetes of type 1, autoimmune disease in which beta cells of the pancreas (producers of insulin) are destroyed resulting necessary the exogenous insulin administration. That said, the patient with diabetes type 1 will have to follow a treatment with insulin, administered by the subcutaneous route, adapted to his metabolic needs and to his life habits. To deal with this situation of metabolic control regulation of the patient, through an insulin therapy, we shall be using the “Endocrine Artificial Pancreas " (PEA), which consists of a bomb of insulin infusion, a constant glucose sensor, and a control algorithm in closed bow. The principal aim of the PEA is providing the patient precision, efficiency and safety regarding the normalization of the glycemic control and hypoglycemia risk reduction". The PEA establishes through subcutaneous route, consequently, the delay introduced by the insulin action, the delay of the glucose measure, as well as the mistakes introduced by the constant glucose sensors when, decalibrate, impede the employment of an algorithm of control. At this stage we must shape the patient glucose levels through predictive systems. A model is all that element or set of elements which will allow us to predict the behavior of a system by introducing input variables. Thus what we obtain, is a prediction of the future stages in which it is possible to find the patient glucose level, being served of input insulin, ingestion and glucose variables already known, for being the ones happened previously in the time. When we use the glucose predictor, using obtained real time parameters, the controller is capable of indicating the future level of the glucose for the decision capture CL controller. The predictors that are being used nowadays in the PEA are not working correctly for the amount of information and variables that it need to handle. Data Mining, also indexed as Knowledge Discovery in Databases or KDD, has been defined as the not trivial extraction process of implicit information, previously unknown and potentially useful. All this, using the following phases of the knowledge extraction process: selection of information, pre- processing, transformation, data mining, results interpretation, evaluation and knowledge acquisition. With all this process we seek to generate the unique insulin glucose model that adjusts individually and in a personalized way for each patient form and being capable, at the same time, of predicting the future conditions with real time calculations, across few input parameters. This project of end of grade seeks to extract the information contained in a database of type 1 diabetics patients, obtained from clinical experimentation. For it, we will use technologies of Data Mining. For the attainment of the aim implicit to this project we have proceeded to implement a graphical interface that will guide us across the process of the KDD (with graphical and statistical information) of every point of the process. Regarding the data mining part, we have been served by a tool called WEKA's tool called, in which across Java, we control all of its functions to implement them by means of the created program. Finally granting a higher potential to the project with the possibility of implementing the service for Android devices, porting the code. Through these devices and what has been exposed in the project they might help or even create new and very useful applications for this field. As a conclusion of the project, and after an exhaustive analysis of the obtained results, we can show how we achieve to obtain the insulin–glucose model for each patient.

Copolymer 1 induces T cells of the T helper type 2 that crossreact with myelin basic protein and suppress experimental autoimmune encephalomyelitis

The synthetic amino acid copolymer copolymer 1 (Cop 1) suppresses experimental autoimmune encephalomyelitis (EAE) and is beneficial in multiple sclerosis. To further understand Cop 1 suppressive activity, we studied the cytokine secretion profile of various Cop 1-induced T cell lines and clones. Unlike T cell lines induced by myelin basic protein (MBP), which secreted either T cell helper type 1 (Th1) or both Th1 and Th2 cytokines, the T cell lines/clones induced by Cop 1 showed a progressively polarized development toward the Th2 pathway, until they completely lost the ability to secrete Th1 cytokines. Our findings indicate that the polarization of the Cop 1-induced lines did not result from the immunization vehicle or the in vitro growing conditions, but rather from the tendency of Cop 1 to preferentially induce a Th2 response. The response of all of the Cop 1 specific lines/clones, which were originated in the (SJL/J×BALB/c)F1 hybrids, was restricted to the BALB/c parental haplotype. Even though the Cop 1-induced T cells had not been exposed to the autoantigen MBP, they crossreacted with MBP by secretion of interleukin (IL)-4, IL-6, and IL-10. Administration of these T cells in vivo resulted in suppression of EAE induced by whole mouse spinal cord homogenate, in which several autoantigens may be involved. Secretion of anti-inflammatory cytokines by Cop 1-induced suppressor cells, in response to either Cop 1 or MBP, may explain the therapeutic effect of Cop 1 in EAE and in multiple sclerosis.

Crescimento e composição corporal de uma coorte de crianças e adolescentes com diabetes tipo 1

OBJECTIVE: To evaluate the growth and body composition of children and adolescents with type 1 diabetes mellitus (T1DM). SUBJECTS AND METHODS: A cohort of 44 patients with T1DM were followed up for approximately four years and compared with a control group. Weight, height, body mass index (BMI), body fat percentage (BF%), fat mass index, waist circumference (WC) and waist-height ratio were determined. RESULTS: In females, in the first evaluation, BF% was lower in patients than in controls, while in the second evaluation, mean WC was higher in patients than in controls. In males, height of the patients was lower in the first evaluation, while body mass index (BMI) was higher in the second one. We did not find any differences among the changes in height, weight and BMI z-scores and BF% or in the distribution of those z-scores between the two evaluations, in both groups. Multiple regression analysis found differences in BMI and waist-height ratio in both sexes and also in WC in females. CONCLUSION: The patients had adequate growth but showed discrepancy in their body composition during the study.

Papillomavirus virus-like particles for the delivery of multiple cytotoxic T cell epitopes

Chimeric papillomavirus (PV) virus-like particles (VLPs) based on the bovine papillomavirus type 1 (BPV-1) L1 protein were constructed by replacing the 23-carboxyl-terminal amino acids of the BPV1 major protein L1 with an artificial polytope minigene, containing known CTL epitopes of human PV16 E7 protein, HIV IIIB gp120 P18, Nef, and reverse transcriptase (RT) proteins, and an HPV16 E7 linear B epitope. The CTL epitopes were restricted by three different MHC class 1 alleles (H-2(b), H-2(d), HLA-A*0201). The chimeric L1 protein assembled into VLPs when expressed in SF-9 cells by recombinant baculovirus. After immunization of mice with polytope VLPs in the absence of adjuvant, serum antibodies were detected which reacted with both polytope VLPs and wild-type BPV1L1 VLPs, in addition to the HPV16E7 linear B cell epitope. CTL precursors specific for the HPV16 E7, HIV P18, and RT CTL epitopes were also detected in the spleen of immunized mice. Polytope VLPs can thus deliver multiple B and T epitopes as immunogens to the MHC class I and class II pathways, extending the utility of VLPs as self-adjuvanting immunogen delivery systems. (C) 2000 Academic Press.