University of Colorado Denver

About: University of Colorado Denver is a education organization based out in Denver, Colorado, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 27444 authors who have published 57213 publications receiving 2539937 citations. The organization is also known as: CU Denver & UCD.

Consensus classification of posterior cortical atrophy

Abstract: Introduction A classification framework for posterior cortical atrophy (PCA) is proposed to improve the uniformity of definition of the syndrome in a variety of research settings. Methods Consensus statements about PCA were developed through a detailed literature review, the formation of an international multidisciplinary working party which convened on four occasions, and a Web-based quantitative survey regarding symptom frequency and the conceptualization of PCA. Results A three-level classification framework for PCA is described comprising both syndrome- and disease-level descriptions. Classification level 1 (PCA) defines the core clinical, cognitive, and neuroimaging features and exclusion criteria of the clinico-radiological syndrome. Classification level 2 (PCA-pure, PCA-plus) establishes whether, in addition to the core PCA syndrome, the core features of any other neurodegenerative syndromes are present. Classification level 3 (PCA attributable to AD [PCA-AD], Lewy body disease [PCA-LBD], corticobasal degeneration [PCA-CBD], prion disease [PCA-prion]) provides a more formal determination of the underlying cause of the PCA syndrome, based on available pathophysiological biomarker evidence. The issue of additional syndrome-level descriptors is discussed in relation to the challenges of defining stages of syndrome severity and characterizing phenotypic heterogeneity within the PCA spectrum. Discussion There was strong agreement regarding the definition of the core clinico-radiological syndrome, meaning that the current consensus statement should be regarded as a refinement, development, and extension of previous single-center PCA criteria rather than any wholesale alteration or redescription of the syndrome. The framework and terminology may facilitate the interpretation of research data across studies, be applicable across a broad range of research scenarios (e.g., behavioral interventions, pharmacological trials), and provide a foundation for future collaborative work.

Surfactant proteins A and D inhibit the growth of Gram-negative bacteria by increasing membrane permeability

Abstract: The pulmonary collectins, surfactant proteins A (SP-A) and D (SP-D), have been reported to bind lipopolysaccharide (LPS), opsonize microorganisms, and enhance the clearance of lung pathogens. In this study, we examined the effect of SP-A and SP-D on the growth and viability of Gram-negative bacteria. The pulmonary clearance of Escherichia coli K12 was reduced in SP-A–null mice and was increased in SP-D–overexpressing mice, compared with strain-matched wild-type controls. Purified SP-A and SP-D inhibited bacterial synthetic functions of several, but not all, strains of E. coli, Klebsiella pneumoniae, and Enterobacter aerogenes. In general, rough E. coli strains were more susceptible than smooth strains, and collectin-mediated growth inhibition was partially blocked by coincubation with rough LPS vesicles. Although both SP-A and SP-D agglutinated E. coli K12 in a calcium-dependent manner, microbial growth inhibition was independent of bacterial aggregation. At least part of the antimicrobial activity of SP-A and SP-D was localized to their C-terminal domains using truncated recombinant proteins. Incubation of E. coli K12 with SP-A or SP-D increased bacterial permeability. Deletion of the E. coli OmpA gene from a collectin-resistant smooth E. coli strain enhanced SP-A and SP-D–mediated growth inhibition. These data indicate that SP-A and SP-D are antimicrobial proteins that directly inhibit the proliferation of Gram-negative bacteria in a macrophage- and aggregation-independent manner by increasing the permeability of the microbial cell membrane.

Psychosocial stress increases inflammatory markers and alters cytokine production across pregnancy

Abstract: Previous work has shown that psychosocial stress is related to increases in serum levels of pro-inflammatory cytokines late in pregnancy, and a growing body of research suggests that increased inflammatory activity during pregnancy, generally, may have a negative impact on outcome. The present study further addressed these issues by assessing relationships between psychosocial stress, social support and serum cytokines in early, mid, and late pregnancy, and the effects of stress and social support on the production of cytokines by stimulated lymphocytes in late pregnancy. In addition, we examined relationships between stress, support, and serum C-reactive protein (CRP) during pregnancy. Elevated stress was not only related to higher serum IL-6 late in pregnancy as in our prior work, but this relationship was also evident during early pregnancy and elevated stress was also associated with lower IL-10 in early pregnancy. No relationships between stress and cytokines were apparent during the 2nd trimester of pregnancy. Elevated stress during the 2nd trimesters and low social support during the 3rd trimester were related to increased serum levels of CRP, further suggesting that psychosocial factors can contribute increased inflammation during pregnancy. Importantly, elevated stress levels across pregnancy were predictive of elevated production of the pro-inflammatory cytokines IL-1B and IL-6 by stimulated lymphocytes in the 3rd trimester, suggesting that stress during pregnancy affects the function of immune system cells. These findings further support the notion that prenatal stress alters maternal physiology and immune function in a manner consistent with increased risk of pregnancy complications such as preeclampsia and premature labor.

Sports- and Recreation-Related Concussions in US Youth

Abstract: OBJECTIVE: The incidence of sports- and recreation-related concussions (SRRCs) in the United States is unknown. More than 44 million youth participate in sports annually, thus understanding the frequency of SRRCs in children is important on a population level. Our objective was to determine the number of SRRCs occurring annually among US youth ≤18 years old. METHODS: We identified SRRCs using 3 national databases: MarketScan, National Electronic Injury Surveillance System, and National High School Sports Related Injury Surveillance System, Reporting Injury Online. We determined the number of SRRCs seen in health care settings (outpatient, inpatient, and emergency department) and SRRCs reported to certified high school athletic trainers (ATCs). We used these data and findings in recently published literature to generate a national estimate of SRRCs. RESULTS: We estimate that between 1.1 and 1.9 million SRRCs occur annually in US children aged ≤18 years. Most children with SRRCs, 511 590 to 1 240 972, were not seen in health care settings. Of children with SRRCs seen in health care settings, most were seen as outpatients with 377 978 visits, compared with between 115 479 and 166 929 ED visits, and between 2886 and 4936 hospitalizations. CONCLUSIONS: This study provides the most accurate and precise estimate to date of the number of concussions among US children annually. SRRCs are a common injury in children. Providers in all health care settings need to be trained in concussion care. There is a need for better surveillance to enhance our understanding of the epidemiology of concussions in youth.

Search for weakly interacting massive particles with the first five-tower data from the cryogenic dark matter search at the soudan underground laboratory.

Abstract: We report results from the Cryogenic Dark Matter Search at the Soudan Underground Laboratory (CDMS II) featuring the full complement of 30 detectors. A blind analysis of data taken between October 2006 and July 2007 sets an upper limit on the weakly interacting massive particle (WIMP) nucleon spin-independent cross section of 6.6 x 10^(-44) cm^2 (4.6 x 10^(-44) cm^2 when combined with previous CDMS II data) at the 90% confidence level for a WIMP mass of 60 GeV/c^2. This achieves the best sensitivity for dark matter WIMPs with masses above 44 GeV/c^2, and significantly restricts the parameter space for some favored supersymmetric models.