Language Regression Associated With Autistic Regression and Electroencephalographic (EEG) Abnormalities: A Prospective Study.

We report a boy, referred at 25 months following a dramatic isolated language regression antedating autistic-like symptomatology. His sleep electroencephalogram (EEG) showed persistent focal epileptiform activity over the left parietal and vertex areas never associated with clinical seizures. He was started on adrenocorticotropic hormone (ACTH) with a significant improvement in language, behavior, and in EEG discharges in rapid eye movement (REM) sleep. Later course was characterized by fluctuations/regressions in language and behavior abilities, in phase with recrudescence of EEG abnormalities prompting additional ACTH courses that led to remarkable decrease in EEG abnormalities, improvement in language, and to a lesser degree, in autistic behavior. The timely documentation of regression episodes suggesting an "atypical" autistic regression, striking therapy-induced improvement, fluctuation of symptomatology over time could be ascribed to recurrent and persisting EEG abnormalities.

U.S. Universities’ Net Returns from Patenting and Licensing: A Quantile Regression Analysis, September 2006

In line with the rights and incentives provided by the Bayh-Dole Act of 1980, U.S. universities have increased their involvement in patenting and licensing activities through their own technology transfer offices. Only a few U.S. universities are obtaining large returns, however, whereas others are continuing with these activities despite negligible or negative returns. We assess the U.S. universities’ potential to generate returns from licensing activities by modeling and estimating quantiles of the distribution of net licensing returns conditional on some of their structural characteristics. We find limited prospects for public universities without a medical school everywhere in their distribution. Other groups of universities (private, and public with a medical school) can expect significant but still fairly modest returns only beyond the 0.9th quantile. These findings call into question the appropriateness of the revenue-generating motive for the aggressive rate of patenting and licensing by U.S. universities.

Aplicação da Técnica de “NESTED PCR” Durante o Período Pré-Patente para Identificação de Schistosoma Mansoni no Hospedeiro Intermediário Biomphalaria Glabrata

Biomphalaria glabrata, molusco de água doce, desempenha um importante papel em Parasitologia Médica, por ser o hospedeiro intermediário de Schistosoma mansoni, tremátode digenético responsável pela schistosomose intestinal. A detecção de moluscos infectados pelo Schistosoma mansoni tem uma grande importância em Saúde pública, porque identifica focos de transmissão da schistosomose. As limitações dos métodos clássicos para o diagnóstico de infecções pré patentes fazem com que os métodos de biologia moleculares sejam vistos como possíveis alternativas através da detecção de ADN do S. mansoni em moluscos hospedeiros. A detecção de sequências específicas de ADN por reacção de polimerase em cadeia (PCR) tem-se verificado ser de extrema importância para a análise genética e diagnóstico de várias doenças infecciosas. Neste estudo foi aplicada a técnica de Nested-PCR, com o objectivo de identificar, no período pré-patente, S. mansoni em moluscos expostos a 1, 5 e 10 miracídios em diferentes períodos de tempo. Foram utilizados moluscos das estirpes albina e selvagem de B. glabrata. Para a realização das técnicas de PCR e de Nested–PCR (NPCR) foram utilizados dois pares de oligonucleótidos desenhados especificamente para detectar o ADN de S. mansoni . Verificou-se amplificação do fragmento de ADN do parasita em 80% das amostras analisadas, independentemente da dose de miracídios e do período de exposição. O método utilizado é altamente sensível, mostrando ser uma ferramenta útil na detecção de hospedeiros intermediários de S. mansoni, consequentemente na identificação de focos de schistosomose intestinal.

Aplicação da Técnica de “Nested Pcr” Durante o Período Pré-Patente para Identificação de Schistosoma Mansoni no Hospedeiro Intermediário Biomphalaria Glabrata

Biomphalaria glabrata, molusco de água doce, desempenha um importante papel em Parasitologia Médica, por ser o hospedeiro intermediário de Schistosoma mansoni, tremátode digenético responsável pela schistosomose intestinal. A detecção de moluscos infectados pelo Schistosoma mansoni tem uma grande importância em Saúde pública, porque identifica focos de transmissão da schistosomose. As limitações dos métodos clássicos para o diagnóstico de infecções pré patentes fazem com que os métodos de biologia moleculares sejam vistos como possíveis alternativas através da detecção de ADN do S. mansoni em moluscos hospedeiros. A detecção de sequências específicas de ADN por reacção de polimerase em cadeia (PCR) tem-se verificado ser de extrema importância para a análise genética e diagnóstico de várias doenças infecciosas. Neste estudo foi aplicada a técnica de Nested-PCR, com o objectivo de identificar, no período pré-patente, S. mansoni em moluscos expostos a 1, 5 e 10 miracídios em diferentes períodos de tempo. Foram utilizados moluscos das estirpes albina e selvagem de B. glabrata. Para a realização das técnicas de PCR e de Nested–PCR (NPCR) foram utilizados dois pares de oligonucleótidos desenhados especificamente para detectar o ADN de S. mansoni . Verificou-se amplificação do fragmento de ADN do parasita em 80% das amostras analisadas, independentemente da dose de miracídios e do período de exposição. O método utilizado é altamente sensível, mostrando ser uma ferramenta útil na detecção de hospedeiros intermediários de S. mansoni, consequentemente na identificação de focos de schistosomose intestinal.

Long-term outcome after cognitive and behavioral regression in non-lesional epilepsy with CSWS

Purpose: To present the long-term outcome (LTO) of 10 adolescents and young adults with documented cognitive and behavioral regression as children due to non-lesional focal, mainly frontal epilepsy with continuous spike-waves during slow wave sleep (CSWS). Method: Past medical and EEG data of all patients were reviewed and neuropsychological tests exploring main cognitive functions were administered. Result: After a mean duration of follow-up of 15.6 years (range 8-23 years), none of the 10 patients had recovered fully, but four regained borderline to normal intelligence and were almost independent. Patients with prolonged global intellectual regression had the worst outcome, whereas those with more specific and short-lived deficits recovered best. The marked behavioral disorders that were so disturbing during the active period (AP) resolved in all but one patient. Executive functions were neither severely nor homogenously affected. Three patients with a frontal syndrome during the AP disclosed only mild residual executive and social cognition deficits. The main cognitive gains occurred shortly after the AP, but qualitative improvements continued to occur. LTO correlated best with duration of CSWS. Conclusion: Our findings emphasize that cognitive recovery after cessation of CSWS depends on the severity and duration of the initial regression. None of our patients had major executive and social cognition deficits with preserved intelligence as reported in adults with destructive lesions of the frontal lobes during childhood. Early recognition of epilepsy with CSWS and rapid introduction of effective therapy are crucial for a best possible outcome.

Role of Chlamydia trachomatis in miscarriage.

To determine the role of Chlamydia trachomatis in miscarriage, we prospectively collected serum, cervicovaginal swab specimens, and placental samples from 386 women with and without miscarriage. Prevalence of immunoglobulin G against C. trachomatis was higher in the miscarriage group than in the control group (15.2% vs. 7.3%; p = 0.018). Association between C. trachomatis-positive serologic results and miscarriage remained significant after adjustment for age, origin, education, and number of sex partners (odds ratio 2.3, 95% confidence interval 1.1-4.9). C. trachomatis DNA was more frequently amplified from products of conception or placenta from women who had a miscarriage (4%) than from controls (0.7%; p = 0.026). Immunohistochemical analysis confirmed C. trachomatis in placenta from 5 of 7 patients with positive PCR results, whereas results of immunohistochemical analysis were negative in placenta samples from all 8 negative controls tested. Associations between miscarriage and serologic/molecular evidence of C. trachomatis infection support its role in miscarriage.

Fusion of data sets in multivariate linear regression with errors-in-variables

We consider the application of normal theory methods to the estimation and testing of a general type of multivariate regressionmodels with errors--in--variables, in the case where various data setsare merged into a single analysis and the observable variables deviatepossibly from normality. The various samples to be merged can differ on the set of observable variables available. We show that there is a convenient way to parameterize the model so that, despite the possiblenon--normality of the data, normal--theory methods yield correct inferencesfor the parameters of interest and for the goodness--of--fit test. Thetheory described encompasses both the functional and structural modelcases, and can be implemented using standard software for structuralequations models, such as LISREL, EQS, LISCOMP, among others. An illustration with Monte Carlo data is presented.

Estimation du débit de filtration glomérulaire par la formule DFG = K x T/Pcr [Estimation of glomerular filtration rate by the formula GFR = K x T/Pc].

BACKGROUND: Creatinine clearance is the most common method used to assess glomerular filtration rate (GFR). In children, GFR can also be estimated without urine collection, using the formula GFR (mL/min x 1.73 m2) = K x height [cm]/Pcr [mumol/L]), where Pcr represents the plasma creatinine concentration. K is usually calculated using creatinine clearance (Ccr) as an index of GFR. The aim of the present study was to evaluate the reliability of the formula, using the standard UV/P inulin clearance to calculate K. METHODS: Clearance data obtained in 200 patients (1 month to 23 years) during the years 1988-1994 were used to calculate the factor K as a function of age. Forty-four additional patients were studied prospectively in conditions of either hydropenia or water diuresis in order to evaluate the possible variation of K as a function of urine flow rate. RESULTS: When GFR was estimated by the standard inulin clearance, the calculated values of K was 39 (infants less than 6 months), 44 (1-2 years) and 47 (2-12 years). The correlation between the values of GFR, as estimated by the formula, and the values measured by the standard clearance of inulin was highly significant; the scatter of individual values was however substantial. When K was calculated using Ccr, the formula overestimated Cin at all urine flow rates. When calculated from Ccr, K varied as a function of urine flow rate (K = 50 at urine flow rates of 3.5 and K = 64 at urine flow rates of 8.5 mL/min x 1.73 m2). When calculated from Cin, in the same conditions, K remained constant with a value of 50. CONCLUSIONS: The formula GFR = K x H/Pcr can be used to estimate GFR. The scatter of values precludes however the use of the formula to estimate GFR in pathophysiological studies. The formula should only be used when K is calculated from Cin, and the plasma creatinine concentration is measured in well defined conditions of hydration.

PCR-RAPD and PCR-RFLP polymorphisms detected in Anopheles cruzii (Diptera, Culicidae)

The aim of the present study was to examine genetic variability in populations of An. cruzii by employing PCR-RAPD and PCR-RFLP markers. All analyses were carried out using individuals of the F1 generation of wild caught females obtained in Santa Catarina State (Florianópolis and São Francisco do Sul), Paraná State (Morretes, Paranaguá and Guaratuba) and São Paulo State (Cananéia). In the PCR-RAPD experiments, seven primers were used for comparisons within and among populations. The restriction profile of the ITS2 including a fragment of both 5.8S and 28S regions of the rDNA was obtained with the enzymes BstUI, HaeIII, TaqI, HhaI, Sau96I, HinfI, HincII and NruI. The PCR-RAPD method detected a large number of polymorphic bands. Genetic distance among populations of An. cruzii varied from 0,0214 to 0,0673, suggesting that all individuals used in the analyses belong to a single species. The number of migrants per generation (Nm) was 4.3, showing the existence of gene flow among populations. The restriction profile of the ITS2, 5.8S and 28S gene regions was similar in all An. cruzii samples, whereas the results obtained by using HhaI and NruI are indicative that the individuals analyzed have nucleotide sequences distinct from those of An. cruzii samples from Peruíbe and Juquiazinho deposited in GenBank.

Constant coefficient tests for random coefficient regression

Random coefficient regression models have been applied in differentfields and they constitute a unifying setup for many statisticalproblems. The nonparametric study of this model started with Beranand Hall (1992) and it has become a fruitful framework. In thispaper we propose and study statistics for testing a basic hypothesisconcerning this model: the constancy of coefficients. The asymptoticbehavior of the statistics is investigated and bootstrapapproximations are used in order to determine the critical values ofthe test statistics. A simulation study illustrates the performanceof the proposals.

In vivo targeting of an anti-tumor antibody coupled to antigenic MHC class I complexes induces specific growth inhibition and regression of established syngeneic tumor grafts.

The concept of antibody-mediated targeting of antigenic MHC/peptide complexes on tumor cells in order to sensitize them to T-lymphocyte cytotoxicity represents an attractive new immunotherapy strategy. In vitro experiments have shown that an antibody chemically conjugated or fused to monomeric MHC/peptide can be oligomerized on the surface of tumor cells, rendering them susceptible to efficient lysis by MHC-peptide restricted specific T-cell clones. However, this strategy has not yet been tested entirely in vivo in immunocompetent animals. To this aim, we took advantage of OT-1 mice which have a transgenic T-cell receptor specific for the ovalbumin (ova) immunodominant peptide (257-264) expressed in the context of the MHC class I H-2K(b). We prepared and characterized conjugates between the Fab' fragment from a high-affinity monoclonal antibody to carcinoembryonic antigen (CEA) and the H-2K(b) /ova peptide complex. First, we showed in OT-1 mice that the grafting and growth of a syngeneic colon carcinoma line transfected with CEA could be specifically inhibited by systemic injections of the conjugate. Next, using CEA transgenic C57BL/6 mice adoptively transferred with OT-1 spleen cells and immunized with ovalbumin, we demonstrated that systemic injections of the anti-CEA-H-2K(b) /ova conjugate could induce specific growth inhibition and regression of well-established, palpable subcutaneous grafts from the syngeneic CEA-transfected colon carcinoma line. These results, obtained in a well-characterized syngeneic carcinoma model, demonstrate that the antibody-MHC/peptide strategy can function in vivo. Further preclinical experimental studies, using an anti-viral T-cell response, will be performed before this new form of immunotherapy can be considered for clinical use.

Improving generalized regression analysis for the spatial prediction of forest communities

Aim This study used data from temperate forest communities to assess: (1) five different stepwise selection methods with generalized additive models, (2) the effect of weighting absences to ensure a prevalence of 0.5, (3) the effect of limiting absences beyond the environmental envelope defined by presences, (4) four different methods for incorporating spatial autocorrelation, and (5) the effect of integrating an interaction factor defined by a regression tree on the residuals of an initial environmental model. Location State of Vaud, western Switzerland. Methods Generalized additive models (GAMs) were fitted using the grasp package (generalized regression analysis and spatial predictions, http://www.cscf.ch/grasp). Results Model selection based on cross-validation appeared to be the best compromise between model stability and performance (parsimony) among the five methods tested. Weighting absences returned models that perform better than models fitted with the original sample prevalence. This appeared to be mainly due to the impact of very low prevalence values on evaluation statistics. Removing zeroes beyond the range of presences on main environmental gradients changed the set of selected predictors, and potentially their response curve shape. Moreover, removing zeroes slightly improved model performance and stability when compared with the baseline model on the same data set. Incorporating a spatial trend predictor improved model performance and stability significantly. Even better models were obtained when including local spatial autocorrelation. A novel approach to include interactions proved to be an efficient way to account for interactions between all predictors at once. Main conclusions Models and spatial predictions of 18 forest communities were significantly improved by using either: (1) cross-validation as a model selection method, (2) weighted absences, (3) limited absences, (4) predictors accounting for spatial autocorrelation, or (5) a factor variable accounting for interactions between all predictors. The final choice of model strategy should depend on the nature of the available data and the specific study aims. Statistical evaluation is useful in searching for the best modelling practice. However, one should not neglect to consider the shapes and interpretability of response curves, as well as the resulting spatial predictions in the final assessment.

Solving higher-dimensional continuous time stochastic control problems by value function regression

The paper develops a method to solve higher-dimensional stochasticcontrol problems in continuous time. A finite difference typeapproximation scheme is used on a coarse grid of low discrepancypoints, while the value function at intermediate points is obtainedby regression. The stability properties of the method are discussed,and applications are given to test problems of up to 10 dimensions.Accurate solutions to these problems can be obtained on a personalcomputer.