Comparison of proteoglycans synthesized by porcine normal and polycystic renal tubular epithelial cells in vitro

Newly synthesized porcine tubular epithelial cell proteoglycans were labeled in vitro with Na2[35S]SO4. At the beginning of the labeling period (24 h) [35S] sulfate incorporated into macromolecules was measured following PD-10 chromatography. There was a significant reduction in the amount of 35S-labeled macromolecules isolated from polycystic cells compared to that from normal cells. The distribution of recovered radiolabeled material among the medium, cell surface, and intracellular fractions was similar for both normal and polycystic cells. Analysis of the proteoglycans in polycystic cells demonstrated that 86 and 73% of 35S-labeled macromolecules were of the heparan sulfate type in polycystic and normal cells, respectively. The remainder was chondroitin sulfate. Proteoglycans were characterized using DEAE-Sephacel ion-exchange chromatography, chondroitinase ABC, heparitinase, and nitrous acid digestion followed by Sepharose CL-4B gel permeation chromatography. The majority of radiolabeled material in the medium, cell surface, and intracellular fractions eluted between 0.35 and 0.39 M NaCl. However, a second peak (peak II) that eluted at 0.25 M NaCl was found in the medium from polycystic cells. This peak accounted for 27% of the total macromolecules secreted into the medium. Proteoglycans in the major peak were susceptible to nitrous acid and chondroitinase ABC digestion. A similar proportion of peak II was degraded by chondroitinase ABC. However, the remainder was only slightly susceptible to treatment with nitrous acid or heparitase. In normal cells a small amount of material eluted at a similar low charge; the proteoglycans were the same as those found in the major peak and appeared as a shoulder on this peak.     

Distance-based analysis of variance for brain connectivity

The field of neuroimaging dedicated to mapping connections in the brain is increasingly being recognized as key for understanding neurodevelopment and pathology. Networks of these connections are quantitatively represented using complex structures, including matrices, functions, and graphs, which require specialized statistical techniques for estimation and inference about developmental and disorder-related changes. Unfortunately, classical statistical testing procedures are not well suited to high-dimensional testing problems. In the context of global or regional tests for differences in neuroimaging data, traditional analysis of variance (ANOVA) is not directly applicable without first summarizing the data into univariate or low-dimensional features, a process that might mask the salient features of high-dimensional distributions. In this work, we consider a general framework for two-sample testing of complex structures by studying generalized within-group and between-group variances based on distances between complex and potentially high-dimensional observations. We derive an asymptotic approximation to the null distribution of the ANOVA test statistic, and conduct simulation studies with scalar and graph outcomes to study finite sample properties of the test. Finally, we apply our test to our motivating study of structural connectivity in autism spectrum disorder.     

Increased birth weight associated with regular pre-pregnancy deworming and weekly iron-folic acid supplementation for Vietnamese women

Background

Hookworm infections are significant public health issues in South-East Asia. In women of reproductive age, chronic hookworm infections cause iron deficiency anaemia, which, upon pregnancy, can lead to intrauterine growth restriction and low birth weight. Low birth weight is an important risk factor for neonatal and infant mortality and morbidity.

Methodology

We investigated the association between neonatal birth weight and a 4-monthly deworming and weekly iron-folic acid supplementation program given to women of reproductive age in north-west Vietnam. The program was made available to all women of reproductive age (estimated 51,623) in two districts in Yen Bai Province for 20 months prior to commencement of birth weight data collection. Data were obtained for births at the district hospitals of the two intervention districts as well as from two control districts where women did not have access to the intervention, but had similar maternal and child health indicators and socio-economic backgrounds. The primary outcome was low birth weight.

Principal Findings

The birth weights of 463 infants born in district hospitals in the intervention (168) and control districts (295) were recorded. Twenty-six months after the program was started, the prevalence of low birth weight was 3% in intervention districts compared to 7.4% in control districts (adjusted odds ratio 0.29, 95% confidence interval 0.10 to 0.81, p = 0.017). The mean birth weight was 124 g (CI 68 - 255 g, p<0.001) greater in the intervention districts compared to control districts.

Conclusions/Significance

The findings of this study suggest that providing women with regular deworming and weekly iron-folic acid supplements before pregnancy is associated with a reduced prevalence of low birth weight in rural Vietnam. The impact of this health system-integrated intervention on birth outcomes should be further evaluated through a more extensive randomised-controlled trial.     

Arterial hypertension caused by low renin: comparison of the calcium antagonist nifedipine and the ACE-inhibitor enalapril as to antihypertensive efficacy

The aim of this study was to compare the clinical effects of calcium-entry blocker Nifedipine and ACE-inhibitor Enalapril in hypertensive patients with glucose intolerance that have lower plasma renin activity. A blood sample for basal PRA was obtained from 21 subjects; then, 11 patients received Nifedipine (20 mg. b.i.d.) and 10 Enalapril (20 mg. q.d.). The extent of blood pressure fall after 12 weeks of treatment was inversely related to basal PRA levels in Nifedipine treated group only; however, the hypotensive effect of both drugs was comparable.     

Nonparametric variable importance assessment using machine learning techniques

In a regression setting, it is often of interest to quantify the importance of various features in predicting the response. Commonly, the variable importance measure used is determined by the regression technique employed. For this reason, practitioners often only resort to one of a few regression techniques for which a variable importance measure is naturally defined. Unfortunately, these regression techniques are often suboptimal for predicting the response. Additionally, because the variable importance measures native to different regression techniques generally have a different interpretation, comparisons across techniques can be difficult. In this work, we study a variable importance measure that can be used with any regression technique, and whose interpretation is agnostic to the technique used. This measure is a property of the true data‐generating mechanism. Specifically, we discuss a generalization of the analysis of variance variable importance measure and discuss how it facilitates the use of machine learning techniques to flexibly estimate the variable importance of a single feature or group of features. The importance of each feature or group of features in the data can then be described individually, using this measure. We describe how to construct an efficient estimator of this measure as well as a valid confidence interval. Through simulations, we show that our proposal has good practical operating characteristics, and we illustrate its use with data from a study of risk factors for cardiovascular disease in South Africa.     

Evolution of coding and non-coding genes in HOX clusters of a marsupial

ABSTRACT: BACKGROUND: The HOX gene clusters are thought to be highly conserved amongst mammals and othervertebrates, but the long non-coding RNAs have only been studied in detail in human andmouse. The sequencing of the kangaroo genome provides an opportunity to use comparativeanalyses to compare the HOX clusters of a mammal with a distinct body plan to those ofother mammals. RESULTS: Here we report a comparative analysis of HOX gene clusters between an Australian marsupialof the kangaroo family and the eutherians. There was a strikingly high level of conservationof HOX gene sequence and structure and non-protein coding genes including the microRNAsmiRNA-196a, miRNA-196b, miRNA-10a and miRNA-10b and the long non-coding RNAsHOTAIR, HOTAIRM1 and HOXA11AS that play critical roles in regulating gene expressionand controlling development. By microRNA deep sequencing and comparative genomicanalyses, two conserved microRNAs (miR-10a and miR-10b) were identified and one newcandidate microRNA with typical hairpin precursor structure that is expressed in bothfibroblasts and testes was found. The prediction of microRNA target analysis showed thatseveral known microRNA targets, such as mir-10, mir-414 and mir-464, were found in thetammar HOX clusters. In addition, several novel and putative miRNAs were identified thatoriginated from elsewhere in the tammar genome and that target the tammar HOXB andHOXD clusters. CONCLUSIONS: This study confirms that the emergence of known long non-coding RNAs in the HOXclusters clearly predate the marsupial-eutherian divergence 160 Ma ago. It also identified anew potentially functional microRNA as well as conserved miRNAs. These non-codingRNAs may participate in the regulation of HOX genes to influence the body plan of thismarsupial.