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This report shows that the direction of polarization of attached mammalian cells determines the direction in which they move. Surfaces micropatterned with appropriately functionalized self-assembled monolayers constrain individual cells to asymmetric geometries (for example, a teardrop); these geometries polarize the morphology of the cell. After electrochemical desorption of the self-assembled monolayers removes these constraints and allows the cells to move across the surface, they move toward their blunt ends.
Abstract This chapter discusses obesity and health-related quality of life (HRQOL). HRQOL is a multidimensional construct that reflects how a person subjectively evaluates his/her own well-being in the domains of physical, psychological and social functioning, as influenced by a person's experiences, expectations, and perceptions. Assessing the consequences of obesity on HRQOL plays an important role in evaluating the impact of obesity on individual and population health. To date, a variety of studies, conducted primarily in adults and using cross-sectional designs, has attempted to evaluate the associations between obesity and HRQOL. The general validity of the HRQOL instruments used in these studies has been demonstrated, while the majority of studies conducted in general population samples suggest deleterious effects of obesity across multiple dimensions of HRQOL.
Background: The importance of fat quality is reflected in the recent 2010 Dietary Guidelines for Americans, which recommend reducing saturated fat intake, and replacing this with polyunsaturated fat. Health effects of dietary fat are often estimated as an isocaloric substitution with carbohydrates (nutrient density models). Expressing fat intake as a % of total fat instead better quantifies fat quality, in overall diet and individual foods, and may provide an alternative approach to evaluate associated disease risk. We evaluated this novel measure of dietary fat quality, the % of fat type relative to total fat intake, on CHD risk among women in the Nurses' Health Study. Methods: We followed 84,531 women, free of chronic disease at baseline, from 1980-2008. Data on diet and other factors were ascertained every 2-4 years via questionnaires. For saturated and polyunsaturated fats, fat quality was calculated as grams of fat type / grams of total fat, and included in Cox proportional hazards models with total fat (fat density model), to estimate the association between fat intake and risk of CHD. We also estimated these associations using traditional nutrient density models, with isocaloric replacement of fat with carbohydrates. Results: Over 28 years, there were 3373 cases of CHD. A greater proportion of fat intake as saturated fat was associated with higher risk of CHD (p, trend<0.001) ( Table ). Conversely, a greater proportion of fat intake as polyunsaturated fat was associated with lower risk (p, trend<0.001), which was seen for both N-6 and N-3 fats. Compared with nutrient density models, RR obtained from fat density models were greater in magnitude for saturated and N-3 fats, but similar in magnitude for total and N-6 polyunsaturated fat. Conclusions: Saturated and polyunsaturated fat, quantified as a % of total fat, were significantly associated with CHD risk. This novel measure of dietary fat may aid in the translation of dietary recommendations of fat quality and may provide guidance in distinguishing foods based on fat quality.
Integration of different omics data could markedly help to identify biological signatures, understand the missing heritability of complex diseases and ultimately achieve personalized medicine. Standard regression models used in Genome-Wide Association Studies (GWAS) identify loci with a strong effect size, whereas GWAS meta-analyses are often needed to capture weak loci contributing to the missing heritability. Development of novel machine learning algorithms for merging genotype data with other omics data is highly needed as it could enhance the prioritization of weak loci.We developed cNMTF (corrected non-negative matrix tri-factorization), an integrative algorithm based on clustering techniques of biological data. This method assesses the inter-relatedness between genotypes, phenotypes, the damaging effect of the variants and gene networks in order to identify loci-trait associations. cNMTF was used to prioritize genes associated with lipid traits in two population cohorts. We replicated 129 genes reported in GWAS world-wide and provided evidence that supports 85% of our findings (226 out of 265 genes), including recent associations in literature (NLGN1), regulators of lipid metabolism (DAB1) and pleiotropic genes for lipid traits (CARM1). Moreover, cNMTF performed efficiently against strong population structures by accounting for the individuals' ancestry. As the method is flexible in the incorporation of diverse omics data sources, it can be easily adapted to the user's research needs.An R package (cnmtf) is available at https://lgl15.github.io/cnmtf_web/index.html.Supplementary data are available at Bioinformatics online.
Many bacterial clustered regularly interspaced short palindromic repeats (CRISPR)–CRISPR-associated (Cas) systems employ the dual RNA–guided DNA endonuclease Cas9 to defend against invading phages and conjugative plasmids by introducing site-specific ...Read More
The mechanism of superconductivity in alkali metal-doped fullerenes remains a fascinating and controversial issue. One powerful probe of this mechanism involves the determination of the shift in transition temperature (δTc) upon isotopic substitution. A series of isotopically substituted Rb3C60 superconductors, where C60 corresponds to 13C60, (13C60)0.5(12C60)0.5, or (13C0.5512C0.45)60, was investigated. The δTc determined for Rb313C60, 0.7 ± 0.1 K, provides an unambiguous value for the isotope shift in fully substituted fullerene superconductors. The δTc determined for Rb3 (13C0.5512C0.45)60, 0.5 K, is also consistent with simple mass scaling of the Rb313C60 result. However, an intermolecular effect not accounted for in existing theories is demonstrated by the unexpectedly large δTc, 0.9 K, that was observed for the Rb3(13C60)0.5(12C60)0.5 materials. These results are used to critically assess proposed mechanisms of fullerene superconductivity.
In recent years, many nutrition news headlines exclaimed that saturated fat was not linked to heart disease, leaving the public confused about whether to limit intake, as has been the dietary recommendation for several decades. However, a more nuanced look at the evidence indicates that high saturated fat diets are in fact not benign with respect to heart disease risk. Dietary recommendations should emphasize replacing saturated fats typical in red and processed meats, and certain tropical oils and dairy forms, with healthier polyunsaturated and monounsaturated fat‐rich foods, such as nuts, olive oil, and fatty fish, as well as healthy sources of carbohydrates, such as fiber‐rich whole‐grain foods, rather than refined‐grain and sugar‐laden foods.
Recent developments in fracture dynamics include the discovery of elastic waves which propagate along moving crack fronts in three-dimensional solids, and the identification of possible sources of the roughening and low terminal speeds of tensile cracks in brittle...
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ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPropane-1,3-di(magnesium halide)Lawrence C. Costa and George M. WhitesidesCite this: J. Am. Chem. Soc. 1977, 99, 7, 2390–2391Publication Date (Print):March 1, 1977Publication History Published online1 May 2002Published inissue 1 March 1977https://pubs.acs.org/doi/10.1021/ja00449a086https://doi.org/10.1021/ja00449a086research-articleACS PublicationsRequest reuse permissionsArticle Views284Altmetric-Citations33LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-AlertscloseSupporting Info (1)»Supporting Information Supporting Information Get e-Alerts