Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning

Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffectual as they do not consider different stages of platelet activation or the molecular dynamics involved in platelet interactions and are incapable to consider inter-individual variability. Here we propose a stochastic platelet deposition model and an inferential scheme to estimate the biologically meaningful model parameters using approximate Bayesian computation with a summary statistic that maximally discriminates between different types of patients. Inferred parameters from data collected on healthy volunteers and different patient types help us to identify specific biological parameters and hence biological reasoning behind the dysfunction for each type of patients. This work opens up an unprecedented opportunity of personalized pathology test for CVD detection and medical treatment.     

Detection apparatus for multiple heterogeneous chemiluminescence immunoassay configurations

We describe an apparatus for measuring signals emanated from two heterogeneous chemiluminescence immunoassay (CLIA) configurations: antibody-coated polystyrene beads, in reaction tray wells, and microparticles captured by a porous matrix. An optics and fluidics design which allows the use of a common detection head for these two different assay configurations is described. The detection head moves along three Cartesian coordinates to create a localized light-tight compartment around each individual disposable reaction vessel. Reproducibility of the light seal, trigger solution delivery, and mixing is achieved for acridinium-labeled CLIA. The coated polystyrene beads configuration is tested using beta HCG, CEA, and TSH assays. The microparticle-capture configuration is tested using beta HCG and HBsAg assays. The microparticle capture CLIA has shorter incubation times and the potential for ease of automation.     

Uptake of proline by brushborder vesicles isolated from human kidney cortex

Proline transport into renal brushborder membrane vesicles isolated from human kidney is mediated by two uptake systems. The high-affinity system is stimulated by a Na gradient and appears to be shared with glycine while the low-affinity system is not. Uptake curves of low concentrations of proline exhibit a Na-gradient-dependent overshoot indicative of electrogenic transport. The proline transport systems observed in isolated human renal brushborder membrane vesicles appear to have characteristics similar to those in rat kidney membranes.     

Flanking Regulatory Sequences of the Tetrahymena R Deletion Element Determine the Boundaries of DNA Rearrangement

In the ciliate Tetrahymena thermophila, thousands of DNA segments of variable size are eliminated from the developing somatic macronucleus by specific DNA rearrangements. It is unclear whether rearrangement of the many different DNA elements occurs via a single mechanism or via multiple rearrangement systems. In this study, we characterized in vivo cis-acting sequences required for the rearrangement of the 1.1-kbp R deletion element. We found that rearrangement requires specific sequences flanking each side of the deletion element. The required sequences on the left side appear to span roughly a 70-bp region that is located at least 30 bp from the rearrangement boundary. When we moved the location of the left cis-acting sequences closer to the eliminated region, we observed a rightward shift of the rearrangement boundary such that the newly formed deletion junction retained its original distance from this flanking region. Likewise, when we moved the flanking region as much as 500 bp away from the deletion element, the rearrangement boundary shifted to remain in relative juxtaposition. Clusters of base substitutions made throughout this critical flanking region did not affect rearrangement efficiency or accuracy, which suggests a complex nature for this regulatory sequence. We also found that the right flanking region effectively replaced the essential sequences identified on the left side, and thus, the two flanking regions contain sequences of analogous function despite the lack of obvious sequence identity. These data taken together indicate that the R-element flanking regions contain sequences that position the rearrangement boundaries from a short distance away. Previously, a 10-bp polypurine tract flanking the M-deletion element was demonstrated to act from a distance to determine its rearrangement boundaries. No apparent sequence similarity exists between the M and R elements. The functional similarity between these different cis-acting sequences of the two elements is firm support for a common mechanism controlling Tetrahymena rearrangement.     

Sinusoidal ELF magnetic fields affect acetylcholinesterase activity in cerebellum synaptosomal membranes

The effects of extremely low frequency magnetic fields (ELF‐MF) on acetylcholinesterase (AChE) activity of synaptosomal membranes were investigated. Sinusoidal fields with 50 Hz frequency and different amplitudes caused AChE activity to decrease about 27% with a threshold of about 0.74 mT. The decrease in enzymatic activity was independent of the time of permanence in the field and was completely reversible. Identical results were obtained with exposure to static MF of the same amplitudes. Moreover, the inhibitory effects on enzymatic activity are spread over frequency windows with different maximal values at 60, 200, 350, and 475 Hz. When synaptosomal membranes were solubilized with Triton, ELF‐MF did not affect AChE activity, suggesting the crucial role of the membrane, as well as the lipid linkage of the enzyme, in determining the conditions for inactivation. The results are discussed in order to give an interpretation at molecular level of the macroscopic effects produced by ELF‐MF on biological systems, in particular the alterations of embryo development in many organisms due to acetylcholine accumulation. Bioelectromagnetics 31:270–276, 2010. © 2009 Wiley‐Liss, Inc.     

Sequence-dependent DNA curvature: conformational signal present in the main regulatory region of the rat mitochondrial genome.

Theoretical analysis and experimental approaches by gel electrophoresis in retarding conditions allowed us to identify the presence of an intrinsic bending in the D-loop containing region of the rat mitochondrial genome. The curvature was located in the right domain of the sequence analyzed, between the origin of replication of the heavy strand and its promoter. The preliminary evidence of a specific recognition of the bent DNA with mitochondrial matrix proteins suggests a probable role of this DNA conformation in the duplication and/or expression of the mammalian mitochondrial genome.     

Herding and snaking by the harem stallion in domestic herds

Four herds of pony mares, each consisting of a stallion and six mares, were used to characterize the nature of herding by the stallion and the factors that induced the herding behavior. Herding behaviors were compared among four successive treatments (six mares alone, stallion added, two new mares added, and entire herd moved to a new pasture). A new treatment was initiated every 7 days and behavior was studied for 5 consecutive days (Days 1-5) for each treatment. Observations were made every 10 min during a 2-h period for each day. The extent of herding was quantitated by the mean distances between mares. The extent of snaking (herding with the head and neck extended and ears held back) was scored 0, 1, 2, or 3 (nil, minimal, intermediate, and maximal, respectively). The mean distance among the original mares on Day 1 when the mares were alone was 5.0 mare lengths and was reduced (P < 0.05) to 1.9 mare lengths when the stallion was added. The mean distance among the original mares of an established stallion/mare herd (3.8 mare lengths) was reduced (P < 0.05) on the day the herd was moved to a new pasture (1.9 mare lengths), similar to the effect of the introduction of the stallion. Scores for the extent of snaking, as well as the extent of herding, were highest (P < 0.05) on Day 1 when the stallion was added or the stallion/mare herd was moved to a new pasture. The extent of herding and snaking decreased (P < 0.05) by Day 2 and was seen only occasionally on Days 3-5. The addition of new mares to the herd did not induce herding of the original mares. However, the new mares maintained mean distances of 8-12 mare lengths from the original mares, resulting primarily from chasing by the stallion. By Day 4, the distances between the new and original mares were not different (P > 0.05) from the distances among the original mares.     

Distribution-free ROC analysis using binary regression techniques

Receiver operating characteristic (ROC) regression methodology is used to identify factors that affect the accuracy of medical diagnostic tests. In this paper, we consider a ROC model for which the ROC curve is a parametric function of covariates but distributions of the diagnostic test results are not specified. Covariates can be either common to all subjects or specific to those with disease. We propose a new estimation procedure based on binary indicators defined by the test result for a diseased subject exceeding various specified quantiles of the distribution of test results from non-diseased subjects with the same covariate values. This procedure is conceptually and computationally simplified relative to existing procedures. Simulation study results indicate that the approach has fairly high statistical efficiency. The new ROC regression methodology is used to evaluate childhood measurements of body mass index as a predictive marker of adult obesity.     

Matching in studies of classification accuracy: implications for analysis, efficiency, and assessment of incremental value

Summary.   In case–control studies evaluating the classification accuracy of a marker, controls are often matched to cases with respect to factors associated with the marker and disease status. In contrast with matching in epidemiologic etiology studies, matching in the classification setting has not been rigorously studied. In this article, we consider the implications of matching in terms of the choice of statistical analysis, efficiency, and assessment of the incremental value of the marker over the matching covariates. We find that adjustment for the matching covariates is essential, as unadjusted summaries of classification accuracy can be biased. In many settings, matching is the most efficient covariate-dependent sampling scheme, and we provide an expression for the optimal matching ratio. However, we also show that matching greatly complicates estimation of the incremental value of the marker. We recommend that matching be carefully considered in the context of these findings.