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Institution

National Jewish Health

HealthcareDenver, Colorado, United States
About: National Jewish Health is a healthcare organization based out in Denver, Colorado, United States. It is known for research contribution in the topics: T cell & Asthma. The organization has 883 authors who have published 833 publications receiving 79201 citations. The organization is also known as: National Jewish Medical and Research Center.
Topics: T cell, Asthma, Population, Lung, Antigen


Papers
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Posted ContentDOI
02 Dec 2017-bioRxiv
TL;DR: The results highlight the power of applying a genetic mapping strategy to hibernation and present new insight into the genetics driving its seasonal onset.
Abstract: Hibernation is a highly dynamic phenotype whose timing, for many mammals, is controlled by a circannual clock and accompanied by rhythms in body mass and food intake. When housed in an animal facility, 13-lined ground squirrels exhibit individual variation in the seasonal onset of hibernation, which is not explained by environmental or biological factors, such as body mass and sex. We hypothesized that underlying genetic architecture instead drives variation in this timing. After first increasing the contiguity of the genome assembly, we therefore employed a genotype-by-sequencing approach to characterize genetic variation in 153 13-lined ground squirrels. Combining this with datalogger records, we estimated high heritability (61-100%) for the seasonal onset of hibernation. After applying a genome-wide scan with 46,996 variants, we also identified 21 loci significantly associated with hibernation immergence, which alone accounted for 54% of the variance in the phenotype. The most significant marker (SNP 15, p=3.81x10−6) was located near prolactin-releasing hormone receptor (PRLHR), a gene that regulates food intake and energy homeostasis. Other significant loci were located near genes functionally related to hibernation physiology, including muscarinic acetylcholine receptor M2 (CHRM2), involved in the control of heart rate, exocyst complex component 4 (EXOC4) and prohormone convertase 2 (PCSK2), both of which are involved in insulin signaling and processing. Finally, we applied an expression quantitative loci (eQTL) analysis using existing transcriptome datasets, and we identified significant (q

7 citations

Posted ContentDOI
26 May 2020-medRxiv
TL;DR: Results suggest that linking integrated care with remote monitoring improves the lives of people with advanced COPD.
Abstract: Background. Up to 50% of COPD patients do not receive recommended care for COPD. To address this important issue, we developed Proactive Integrated Care (Proactive iCare), a healthcare delivery model that couples integrated care with remote monitoring. Methods. We conducted a prospective, quasi-randomized clinical trial in 511 patients with advanced COPD, or a recent COPD exacerbation, to test whether Proactive iCare impacts patient- centered outcomes and healthcare utilization. Patients were allocated to Proactive iCare (n =352) or Usual Care (n = 159), and were examined for changes in quality of life using the St. Georges Respiratory Questionnaire (SGRQ), symptoms, guideline-based care, and healthcare utilization. Findings. Proactive iCare improved the total SGRQ by 7-9 units (p<0.0001), symptom SGRQ by 9 units (p<0.0001), activity SGRQ by 6-7 units (p<0.001) and impact SGRQ by 7-11 units (p<0.0001) at 3, 6 and 9 months, compared with Usual Care. Proactive iCare increased the 6-minute walk distance by 40 m (p<0.001), reduced COPD-related urgent office visits by 76 visits per 100 subjects (p<0.0001), identified unreported exacerbations, and decreased smoking (p = 0.01). Proactive iCare also improved cough, sputum, shortness of breath, the BODE index and oxygen titration (p<0.05). Mortality in the Proactive iCare group (1.1%) was not significantly different than mortality in the Usual Care group (3.8%; p = 0.08). Interpretation. Results suggest that linking integrated care with remote monitoring improves the lives of people with advanced COPD.

7 citations

Journal ArticleDOI
TL;DR: There are compelling data for use of FENO for diagnosing asthma, assessing control and severity, titrating inhaled corticosteroids, and detecting ongoing airway inflammation.
Abstract: The fractional concentration of nitric oxide (FENO) in exhaled breath is a noninvasive marker of airway inflammation in asthma. The precise role of FENO in the asthma management algorithm has not been defined. However, there are compelling data for use of FENO for diagnosing asthma, assessing control and severity, titrating inhaled corticosteroids, and detecting ongoing airway inflammation. This article reviews the biology of nitric oxide in airway pathology and its role in asthma.

7 citations

Journal Article
TL;DR: This review focuses on the interaction of these two cell types with particular interest in the cytokines which may be responsible for the development of eosinophilic airway inflammation.
Abstract: The bronchial inflammation characterising asthma represents a specialised form of cell-mediated immune reactions, in which products of activated CD4+ T cells orchestrate the accumulation and activation of granulocytes, particularly eosinophils. Through their toxic granule proteins, membrane derived lipid mediators and proinflammatory cytokines, eosinophils are suggested to be responsible for the changes in airway submucosal tissue resulting in altered airway responsiveness. T cell activation is followed by the synthesis and release of cytokines of which IL-3, IL-5 and GM-CSF are particularly important in the site-specific accumulation, prolonged survival and activation of eosinophils. This review focuses on the interaction of these two cell types with particular interest in the cytokines which may be responsible for the development of eosinophilic airway inflammation.

7 citations


Authors

Showing all 901 results

NameH-indexPapersCitations
Thomas V. Colby12650160130
John W. Kappler12246457541
Donald Y.M. Leung12161450873
Philippa Marrack12041654345
Jeffrey M. Drazen11769352493
Peter M. Henson11236954246
David A. Schwartz11095853533
David A. Lynch10871459678
Norman R. Pace10129750252
Kevin K. Brown10038747219
Stanley J. Szefler9955437481
Erwin W. Gelfand9967536059
James D. Crapo9847337510
Yang Xin Fu9739033526
Stephen D. Miller9443330499
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20233
202214
202113
202017
201917
201841