Adsorption of Light Alkanes on the Surface of Substrates with Varying Symmetry and Composition

Adsorption plays an integral role in a variety of fundamentally and technologically important processes such as lubrication, gas separation and purification, wetting behavior, energy storage, heterogenous catalysis, biologically inspired materials, and the theory of phase transitions. As a result, adsorption phenomena are extensively studied in chemistry, physics, and biology each for uniquely different reasons. The homologous series of normal alkanes represent a class of organic molecules that are important in the fuel industry. From a fundamental perspective, the series of normal alkanes provide a route whereby physical and chemical properties relevant to adsorption can be examined with only subtle changes in molecular size and length. The alkanes also exhibit a well-known odd-even effect in some condensed phase physical properties. In the current study, the physical adsorption properties of the normal alkanes (methane-decane) on MgO, graphite, and boron nitride were investigated using volumetric adsorption isotherms and molecular dynamics simulations. This portion of the study focuses on determining the thermodynamics of adsorption as well as predicting the adsorption structures and dynamics. As a secondary study, the chemical adsorption of ethanol was examined on the surface of transition-phase aluminas using volumetric adsorption, temperature-programmed desorption, and inelastic neutron scattering. The purpose of this work was to observe the surface-catalyzed reaction of chemically bound ethanol with Lewis and Brø[oe]nsted acid sites present on the aluminas in-situ. The results of the projects described have significant implications in the design of new materials for gas separation and purification as well as heterogenous catalysis

Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes

publisher: Elsevier articletitle: Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes journaltitle: Cell articlelink: https://doi.org/10.1016/j.cell.2018.05.046 content_type: article copyright: © 2018 Elsevier Inc

Prevalence and survival associated with pulmonary hypertension after mitral valve replacement: National echocardiography database of Australia study

Abstract The specific prevalence and outcome of pulmonary hypertension after mitral valve replacement (MVR) is not well documented. The aim of the study was to determine the prevalence and prognostic impact of pulmonary hypertension after MVR. In addition, we sought to determine the threshold of mortality risk according to echocardiography derived pulmonary pressures and those echocardiographic characteristics that are associated with increased mortality. Using the National Echocardiography Database of Australia, patients who had undergone MVR were identified with estimated right ventricular systolic pressure (eRVSP) assessed and linked to patient mortality during mean follow up of 1917 days. Classification and regression tree analysis was used to identify the most powerful predictors of mortality. A total of 10,994 patients who had undergone echocardiography following MVR (mean age 65.2 ± 16, 44.8% women) were studied (mean follow‐up 1917 days). The prevalence of PH (defined as eRSVP ≥40 mmHg) was 64.1% (7042/10,994). Severe PH (eRVSP ≥60 mmHg) was seen in 42.3% (4671/10,994). Mortality in individuals with PH was greater than amongst individuals without PH (41.1% vs. 26.3%). Age, tricuspid regurgitation and left ventricular dysfunction were also associated with mortality. There is a high prevalence of PH after MVR which confers an adverse prognosis. Improved therapeutic approaches to mitral valve disease and the subsequent development of PH are essential

Prevalence and survival associated with pulmonary hypertension after mitral valve replacement: National echocardiography database of Australia study

The specific prevalence and outcome of pulmonary hypertension after mitral valve replacement (MVR) is not well documented. The aim of the study was to determine the prevalence and prognostic impact of pulmonary hypertension after MVR. In addition, we sought to determine the threshold of mortality risk according to echocardiography derived pulmonary pressures and those echocardiographic characteristics that are associated with increased mortality. Using the National Echocardiography Database of Australia, patients who had undergone MVR were identified with estimated right ventricular systolic pressure (eRVSP) assessed and linked to patient mortality during mean follow up of 1917 days. Classification and regression tree analysis was used to identify the most powerful predictors of mortality. A total of 10,994 patients who had undergone echocardiography following MVR (mean age 65.2 ± 16, 44.8% women) were studied (mean follow-up 1917 days). The prevalence of PH (defined as eRSVP ≥40 mmHg) was 64.1% (7042/10,994). Severe PH (eRVSP ≥60 mmHg) was seen in 42.3% (4671/10,994). Mortality in individuals with PH was greater than amongst individuals without PH (41.1% vs. 26.3%). Age, tricuspid regurgitation and left ventricular dysfunction were also associated with mortality. There is a high prevalence of PH after MVR which confers an adverse prognosis. Improved therapeutic approaches to mitral valve disease and the subsequent development of PH are essential

Comparative performances of machine learning methods for classifying Crohn Disease patients using genome-wide genotyping data

Abstract: Crohn Disease (CD) is a complex genetic disorder for which more than 140 genes have been identified using genome wide association studies (GWAS). However, the genetic architecture of the trait remains largely unknown. The recent development of machine learning (ML) approaches incited us to apply them to classify healthy and diseased people according to their genomic information. The Immunochip dataset containing 18,227 CD patients and 34,050 healthy controls enrolled and genotyped by the international Inflammatory Bowel Disease genetic consortium (IIBDGC) has been re-analyzed using a set of ML methods: penalized logistic regression (LR), gradient boosted trees (GBT) and artificial neural networks (NN). The main score used to compare the methods was the Area Under the ROC Curve (AUC) statistics. The impact of quality control (QC), imputing and coding methods on LR results showed that QC methods and imputation of missing genotypes may artificially increase the scores. At the opposite, neither the patient/control ratio nor marker preselection or coding strategies significantly affected the results. LR methods, including Lasso, Ridge and ElasticNet provided similar results with a maximum AUC of 0.80. GBT methods like XGBoost, LightGBM and CatBoost, together with dense NN with one or more hidden layers, provided similar AUC values, suggesting limited epistatic effects in the genetic architecture of the trait. ML methods detected near all the genetic variants previously identified by GWAS among the best predictors plus additional predictors with lower effects. The robustness and complementarity of the different methods are also studied. Compared to LR, non-linear models such as GBT or NN may provide robust complementary approaches to identify and classify genetic markers

Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization

<p>Allergen-specific immunoglobulin E (present in allergic sensitization) has a central role in the pathogenesis of allergic disease. We performed the first large-scale genome-wide association study (GWAS) of allergic sensitization in 5,789 affected individuals and 10,056 controls and followed up the top SNP at each of 26 loci in 6,114 affected individuals and 9,920 controls. We increased the number of susceptibility loci with genome-wide significant association with allergic sensitization from three to ten, including SNPs in or near TLR6, C11orf30, STAT6, SLC25A46, HLA-DQB1, IL1RL1, LPP, MYC, IL2 and HLA-B. All the top SNPs were associated with allergic symptoms in an independent study. Risk-associated variants at these ten loci were estimated to account for at least 25% of allergic sensitization and allergic rhinitis. Understanding the molecular mechanisms underlying these associations may provide new insights into the etiology of allergic disease.</p>

Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability1. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals2, 3, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk4. Modestly powered genome-wide association studies (GWAS)5, 6, 7, 8, 9, 10 have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility11. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis

Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility

INTRODUCTION: Multiple sclerosis (MS) is an inflammatory and degenerative disease of the central nervous system (CNS) that often presents in young adults. Over the past decade, certain elements of the genetic architecture of susceptibility have gradually emerged, but most of the genetic risk for MS remained unknown. RATIONALE: Earlier versions of the MS genetic map had highlighted the role of the adaptive arm of the immune system, implicating multiple different T cell subsets. We expanded our knowledge of MS susceptibility by performing a genetic association study in MS that leveraged genotype data from 47,429 MS cases and 68,374 control subjects. We enhanced this analysis with an in-depth and comprehensive evaluation of the functional impact of the susceptibility variants that we uncovered. RESULTS: We identified 233 statistically independent associations with MS susceptibility that are genome-wide significant. The major histocompatibility complex (MHC) contains 32 of these associations, and one, the first MS locus on a sex chromosome, is found in chromosome X. The remaining 200 associations are found in the autosomal non-MHC genome. Our genome-wide partitioning approach and large-scale replication effort allowed the evaluation of other variants that did not meet our strict threshold of significance, such as 416 variants that had evidence of statistical replication but did not reach the level of genome-wide statistical significance. Many of these loci are likely to be true susceptibility loci. The genome-wide and suggestive effects jointly explain ~48% of the estimated heritability for MS. Using atlases of gene expression patterns and epigenomic features, we documented that enrichment for MS susceptibility loci was apparent in many different immune cell types and tissues, whereas there was an absence of enrichment in tissue-level brain profiles. We extended the annotation analyses by analyzing new data generated from human induced pluripotent stem cell–derived neurons as well as from purified primary human astrocytes and microglia, observing that enrichment for MS genes is seen in human microglia, the resident immune cells of the brain, but not in astrocytes or neurons. Further, we have characterized the functional consequences of many MS susceptibility variants by identifying those that influence the expression of nearby genes in immune cells or brain. Last, we applied an ensemble of methods to prioritize 551 putative MS susceptibility genes that may be the target of the MS variants that meet a threshold of genome-wide significance. This extensive list of MS susceptibility genes expands our knowledge more than twofold and highlights processes relating to the development, maturation, and terminal differentiation of B, T, natural killer, and myeloid cells that may contribute to the onset of MS. These analyses focus our attention on a number of different cells in which the function of MS variants should be further investigated. Using reference protein-protein interaction maps, these MS genes can also be assembled into 13 communities of genes encoding proteins that interact with one another; this higher-order architecture begins to assemble groups of susceptibility variants whose functional consequences may converge on certain protein complexes that can be prioritized for further evaluation as targets for MS prevention strategies. CONCLUSION: We report a detailed genetic and genomic map of MS susceptibility, one that explains almost half of this disease’s heritability. We highlight the importance of several cells of the peripheral and brain resident immune systems—implicating both the adaptive and innate arms—in the translation of MS genetic risk into an auto-immune inflammatory process that targets the CNS and triggers a neurodegenerative cascade. In particular, the myeloid component highlights a possible role for microglia that requires further investigation, and the B cell component connects to the narrative of effective B cell–directed therapies in MS. These insights set the stage for a new generation of functional studies to uncover the sequence of molecular events that lead to disease onset. This perspective on the trajectory of disease onset will lay the foundation for developing primary prevention strategies that mitigate the risk of developing MS