University of New Mexico

About: University of New Mexico is a education organization based out in Albuquerque, New Mexico, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 28870 authors who have published 64767 publications receiving 2578371 citations. The organization is also known as: UNM & Universitatis Novus Mexico.

Disease phenotype and genotype are associated with shifts in intestinal-associated microbiota in inflammatory bowel diseases

Abstract: Background: Abnormal host–microbe interactions are implicated in the pathogenesis of inflammatory bowel diseases. Previous 16S rRNA sequence analysis of intestinal tissues demonstrated that a subset of Crohn's disease (CD) and ulcerative colitis (UC) samples exhibited altered intestinal-associated microbial compositions characterized by depletion of Bacteroidetes and Firmicutes (particularly Clostridium taxa). We hypothesize that NOD2 and ATG16L1 risk alleles may be associated with these alterations. Methods: To test this hypothesis, we genotyped 178 specimens collected from 35 CD, 35 UC, and 54 control patients for the three major NOD2 risk alleles (Leu 1007fs, R702W, and G908R) and the ATG16L1T300A risk allele, that had undergone previous 16S rRNA sequence analysis. Our statistical models incorporated the following independent variables: 1) disease phenotype (CD, UC, non-IBD control); 2) NOD2 composite genotype (NOD2R = at least one risk allele, NOD2NR = no risk alleles); 3) ATG16L1T300A genotype (ATG16L1R/R, ATG16L1R/NR, ATG16L1NR/NR); 4) patient age at time of surgery and all first-order interactions. The dependent variable(s) were the relative frequencies of bacterial taxa classified by applying the RDP 2.1 classifier to previously reported 16S rRNA sequence data. Results: Disease phenotype, NOD2 composite genotype and ATG16L1 genotype were significantly associated with shifts in microbial compositions by nonparametric multivariate analysis of covariance (MANCOVA). Shifts in the relative frequencies of Faecalibacterium and Escherichia taxa were significantly associated with disease phenotype by nonparametric ANCOVA. Conclusions: These results support the concept that disease phenotype and genotype are associated with compositional changes in intestinal-associated microbiota. (Inflamm Bowel Dis 2011;)

Chelyabinsk airburst, damage assessment, meteorite recovery, and characterization

Abstract: The asteroid impact near the Russian city of Chelyabinsk on 15 February 2013 was the largest airburst on Earth since the 1908 Tunguska event, causing a natural disaster in an area with a population exceeding one million. Because it occurred in an era with modern consumer electronics, field sensors, and laboratory techniques, unprecedented measurements were made of the impact event and the meteoroid that caused it. Here, we document the account of what happened, as understood now, using comprehensive data obtained from astronomy, planetary science, geophysics, meteorology, meteoritics, and cosmochemistry and from social science surveys. A good understanding of the Chelyabinsk incident provides an opportunity to calibrate the event, with implications for the study of near-Earth objects and developing hazard mitigation strategies for planetary protection.

A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia

Abstract: Objective In this paper, we develop a dynamic functional network connectivity (FNC) analysis approach using correlations between windowed time-courses of different brain networks (components) estimated via spatial independent component analysis (sICA). We apply the developed method to fMRI data to evaluate it and to study task-modulation of functional connections.

Continuous self-assembly of organic–inorganic nanocomposite coatings that mimic nacre

Abstract: Nanocomposite materials are widespread in biological systems Perhaps the most studied is the nacre of abalone shell, an orientated coating composed of alternating layers of aragonite (CaCO3) and a biopolymer Its laminated structure simultaneously provides strength, hardness and toughness: containing about 1 vol % polymer, nacre is twice as hard and 1,000 times as tough as its constituent phases1 Such remarkable properties have inspired chemists and materials scientists to develop synthetic, ‘biomimetic’ nanocomposite assemblies2,3,4,5 Nonetheless, the efficient processing of layered organic–inorganic composites remains an elusive goal Here we report a rapid, efficient self-assembly process for preparing nanolaminated coatings that mimic the structure of nacre Beginning with a solution of silica, surfactant and organic monomers, we rely on evaporation during dip-coating to induce the formation of micelles and partitioning of the organic constituents into the micellar interiors6 Subsequent self-assembly of the silica–surfactant–monomer micellar species into lyotropic mesophases7 simultaneously organizes the organic and inorganic precursors into the desired nanolaminated form Polymerization fixes this structure, completing the nanocomposite assembly process This approach may be generalized both to other composite architectures and to other materials combinations