38 research outputs found

    Listeria monocytogenes brain abscess in an immunocompromised patient: a case report

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    Listeria monocytogenes is a facultative intracellular gram-positive bacillus which usually infects immunocompromised patients, though it can infrequently infect immunocompetent individuals, neonates and pregnant women as well. Neurological manifestations include meningitis and cerebritis. Brain Abscess is an extremely rare presentation with approximately 80 reported cases. Authors report a patient with a brain abscess identified on an MRI scan with positive blood culture for Listeria monocytogenes. Patient was managed conservatively with intravenous followed by oral antibiotics with resolution of the abscess.

    Zebrafish Peptidoglycan Recognition Proteins Are Bactericidal Amidases Essential for Defense against Bacterial Infections

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    SummaryPeptidoglycan recognition proteins (PGRPs) are structurally conserved through evolution, but their functions in innate immunity are different in invertebrates and vertebrates. We asked what the functions of PGRPs in fish are and whether they are indispensable for defense against infection because fish are the first vertebrates that developed adaptive immunity, but they still rely solely on innate immunity during early development of embryos. We identified and cloned three zebrafish PGRPs and showed that they are highly expressed in eggs, developing embryos, and adult tissues that contact external environment. Zebrafish PGRPs have both peptidoglycan-lytic amidase activity and broad-spectrum bactericidal activity, which is a unique feature. Furthermore, we demonstrated that in the developing zebrafish embryo, one of these PGRPs is essential for defense and survival during bacterial infections. These data demonstrate an absolute requirement for innate immunity in defense against infections in fish embryos and for a PGRP protein for survival in vertebrates

    Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

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    Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.NovartisEli Lilly and CompanyAstraZenecaAbbViePfizer UKCelgeneEisaiGenentechMerck Sharp and DohmeRocheCancer Research UKGovernment of CanadaArray BioPharmaGenome CanadaNational Institutes of HealthEuropean CommissionMinistĂšre de l'Économie, de l’Innovation et des Exportations du QuĂ©becSeventh Framework ProgrammeCanadian Institutes of Health Researc

    Association of respiratory symptoms and lung function with occupation in the multinational Burden of Obstructive Lung Disease (BOLD) study

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    Background Chronic obstructive pulmonary disease has been associated with exposures in the workplace. We aimed to assess the association of respiratory symptoms and lung function with occupation in the Burden of Obstructive Lung Disease study. Methods We analysed cross-sectional data from 28 823 adults (≄40 years) in 34 countries. We considered 11 occupations and grouped them by likelihood of exposure to organic dusts, inorganic dusts and fumes. The association of chronic cough, chronic phlegm, wheeze, dyspnoea, forced vital capacity (FVC) and forced expiratory volume in 1 s (FEV1)/FVC with occupation was assessed, per study site, using multivariable regression. These estimates were then meta-analysed. Sensitivity analyses explored differences between sexes and gross national income. Results Overall, working in settings with potentially high exposure to dusts or fumes was associated with respiratory symptoms but not lung function differences. The most common occupation was farming. Compared to people not working in any of the 11 considered occupations, those who were farmers for ≄20 years were more likely to have chronic cough (OR 1.52, 95% CI 1.19–1.94), wheeze (OR 1.37, 95% CI 1.16–1.63) and dyspnoea (OR 1.83, 95% CI 1.53–2.20), but not lower FVC (ÎČ=0.02 L, 95% CI −0.02–0.06 L) or lower FEV1/FVC (ÎČ=0.04%, 95% CI −0.49–0.58%). Some findings differed by sex and gross national income. Conclusion At a population level, the occupational exposures considered in this study do not appear to be major determinants of differences in lung function, although they are associated with more respiratory symptoms. Because not all work settings were included in this study, respiratory surveillance should still be encouraged among high-risk dusty and fume job workers, especially in low- and middle-income countries.publishedVersio

    Almost Unbiased Ratio and Product Type Exponential Estimators

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    This paper considers the problem of estimating the population mean Y of the study variate y using information on auxiliary variate x. We have suggested a generalized version of Bahl and Tuteja (1991) estimator and its properties are studied. It is found that asymptotic optimum estimator (AOE) in the proposed generalized version of Bahl and Tuteja (1991) estimator is biased. In some applications, biasedness of an estimator is disadvantageous. So applying the procedure of Singh and Singh (1993) we derived an almost unbiased version of AOE. A numerical illustration is given in the support of the present study

    High HPV load and sexually transmitted infections increase the risk of abnormal cervical cytology in HIVinfected women in India

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    305-313Sexually transmitted infection (STI) is a major public health problem in human immunodeficiency virus (HIV)-infected individuals. This study evaluated the effect of STIs, such as herpes simplex virus type-2 (HSV-2) and Chlamydia trachomatis (CT) on human papillomavirus (HPV) copy number and associated cervical cytological abnormalities in context of HIV infection. Cervical cells from 74 HIVseropositive and 50 seronegative women were examined for HPV, HSV-2 and CT DNA by PCR. HIVinfected women had higher HSV-2 (P =0.002) and HPV infection (P=0.001) in cervix. HPV 16 was detected as the most predominant genotype. Combination of HIV and other STIs (HSV-2 and CT) was associated with higher HPV prevalence in cervix (P P=0.008). Women with abnormal cervical cytology had higher HPV copy number/cell compared to those with normal cytology (P <0.001). In conclusion, STIs may not have direct effect on cervical cytological abnormalities, they increase HPV VL that in turn worsen cervical cytological complications in HIVinfected women. Therefore, screening of STIs in HIVinfected high-risk Indian women may be important to evaluate HPV burden and abnormal cervical dysplasia

    A chain ratio exponential type estimator in two-phase sampling using auxiliary information

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    This paper advocates the problem of estimating the population mean of the study variable y using the information on two auxiliary variables x and z. We have suggested the family of chain ratio exponential type estimators in two-phase (or double) sampling. The bias and mean squared error (MSE) are obtained upto the first order of approximation. The suggested class of estimators is more efficient than the two-phase ratio estimator, Chand’s (1975) chain-type ratio estimator and Singh and Vishwakarma’s (2007) estimator in two-phase (or double) sampling. An empirical study is given to justify the superiority of the proposed estimator
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