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    <title>AMA Publishing Group: Pulmonary Fibrosis Topic Collection</title>
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    <pubDate>Wed, 05 Jun 2013 00:00:00 GMT</pubDate>
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      <title>Association Between the  MUC5B  Promoter Polymorphism and Survival in Patients With Idiopathic Pulmonary Fibrosis Predicting Survival in Idiopathic Pulmonary Fibrosis </title>
      <link>http://pubs.jamanetwork.com/article.aspx?articleID=1688037</link>
      <pubDate>Wed, 05 Jun 2013 00:00:00 GMT</pubDate>
      <author>Peljto AL, Zhang Y, Fingerlin TE, et al. </author>
      <description>&lt;span class="paragraphSection"&gt;&lt;div class="boxTitle"&gt;Importance&lt;/div&gt;Current prediction models of mortality in idiopathic pulmonary fibrosis (IPF), which are based on clinical and physiological parameters, have modest value in predicting which patients will progress. In addition to the potential for improving prognostic models, identifying genetic and molecular features that are associated with IPF mortality may provide insight into the underlying mechanisms of disease and inform clinical trials.&lt;div class="boxTitle"&gt;Objective&lt;/div&gt;To determine whether the MUC5B promoter polymorphism (rs35705950), previously reported to be associated with the development of pulmonary fibrosis, is associated with survival in IPF.&lt;div class="boxTitle"&gt;Design, Setting, and Participants&lt;/div&gt;Retrospective study of survival in 2 independent cohorts of patients with IPF: the INSPIRE cohort, consisting of patients enrolled in the interferon-γ1b trial (n = 438; December 15, 2003–May 2, 2009; 81 centers in 7 European countries, the United States, and Canada), and the Chicago cohort, consisting of IPF participants recruited from the Interstitial Lung Disease Clinic at the University of Chicago (n = 148; 2007-2010). The INSPIRE cohort was used to model the association of the MUC5B genotype with survival, accounting for the effect of matrix metalloproteinase 7 (MMP-7) blood concentration and other demographic and clinical covariates. The Chicago cohort was used for replication of findings.&lt;div class="boxTitle"&gt;Main Outcomes and Measures&lt;/div&gt;The primary end point was all-cause mortality.&lt;div class="boxTitle"&gt;Results&lt;/div&gt;The numbers of patients in the GG, GT, and TT genotype groups were 148 (34%), 259 (59%), and 31 (7%), respectively, in the INSPIRE cohort and 41 (28%), 98 (66%), and 9 (6%), respectively, in the Chicago cohort. The median follow-up period was 1.6 years for INSPIRE and 2.1 years for Chicago. During follow-up, there were 73 deaths (36 GG, 35 GT, and 2 TT) among INSPIRE patients and 64 deaths (26 GG, 36 GT, and 2 TT) among Chicago patients. The unadjusted 2-year cumulative incidence of death was lower among patients carrying 1 or more copies of the IPF risk allele (T) in both the INSPIRE cohort (0.25 [95% CI, 0.17-0.32] for GG, 0.17 [95% CI, 0.11-0.23] for GT, and 0.03 [95% CI, 0.00-0.09] for TT) and the Chicago cohort (0.50 [95% CI, 0.31-0.63] for GG, 0.22 [95% CI, 0.13-0.31] for GT, and 0.11 [95% CI, 0.00-0.28] for TT). In the INSPIRE cohort, the TT and GT genotypes (risk for IPF) were associated with improved survival compared with GG (hazard ratios, 0.23 [95% CI, 0.10-0.52] and 0.48 [95% CI, 0.31-0.72], respectively; P &lt; .001). This finding was replicated in the Chicago cohort (hazard ratios, 0.15 [95% CI, 0.05-0.49] and 0.39 [95% CI, 0.21-0.70], respectively; P &lt; .002). The observed association of MUC5B with survival was independent of age, sex, forced vital capacity, diffusing capacity of carbon monoxide, MMP-7, and treatment status. The addition of the MUC5B genotype to the survival models significantly improved the predictive accuracy of the model in both the INSPIRE cohort (C = 0.71 [95% CI, 0.64-0.75] vs C = 0.68 [95% CI, 0.61-0.73]; P &lt; .001) and the Chicago cohort (C = 0.73 [95% CI, 0.62-0.78] vs C = 0.69 [95% CI, 0.59-0.75]; P = .01).&lt;div class="boxTitle"&gt;Conclusions and Relevance&lt;/div&gt;Among patients with IPF, a common risk polymorphism in MUC5B was significantly associated with improved survival. Further research is necessary to refine the risk estimates and to determine the clinical implications of these findings. JAMA. 2013;309(21):2232-2239 Published online May 21, 2013.&lt;/span&gt;</description>
      <prism:volume xmlns:prism="prism">309</prism:volume>
      <prism:number xmlns:prism="prism">21</prism:number>
      <prism:startingPage xmlns:prism="prism">2232</prism:startingPage>
      <prism:endingPage xmlns:prism="prism">2239</prism:endingPage>
      <prism:doi xmlns:prism="prism">10.1001/jama.2013.5827</prism:doi>
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      <title>NIOSH Warns of Nanomaterials’ Health Risks</title>
      <link>http://pubs.jamanetwork.com/article.aspx?articleID=1693902</link>
      <pubDate>Wed, 05 Jun 2013 00:00:00 GMT</pubDate>
      <author />
      <description>&lt;span class="paragraphSection"&gt;As nanotechnology expands into every industrial sector, the National Institute for Occupational Safety and Health (NIOSH) has recommended limiting on-the-job exposure to 2 types of nanomaterials found in hundreds of products, including plastics, paints, and electronics, to reduce workers' risk of certain lung ailments.&lt;/span&gt;</description>
      <prism:volume xmlns:prism="prism">309</prism:volume>
      <prism:number xmlns:prism="prism">21</prism:number>
      <prism:startingPage xmlns:prism="prism">2207</prism:startingPage>
      <prism:endingPage xmlns:prism="prism">2207</prism:endingPage>
      <prism:doi xmlns:prism="prism">10.1001/jama.2013.6027</prism:doi>
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