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Sökning: WFRF:(Kalsheker Noor)

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1.
  • Baker, Crystal, et al. (författare)
  • Effects of Alzheimer's peptide and alpha 1-antichymotrypsin on astrocyte gene expression
  • 2007
  • Ingår i: Neurobiology of Aging. - : Elsevier BV. - 1558-1497 .- 0197-4580. ; 28:1, s. 51-61
  • Tidskriftsartikel (refereegranskat)abstract
    • We employed gene array technology to investigate the effects of alpha 1-antichymotrypsin (ACT), soluble or fibrillar Alzheimer's peptide (A beta(1-42)) alone and the combination of ACT/A beta(1-42) on human astrocytes. Using a 1.2-fold change as significance threshold, 398 astrocyte genes showed altered expression in response to these treatments compared to controls. Of the 276 genes affected by the ACT/soluble A beta(1-42) combination, 195 (70.6%) were suppressed. The ACT/fibrillar A beta(1-42) combination affected expression of 64 genes of which 58 (90.5%) were up-regulated. The most prominent gene expression changes in response to the ACT/soluble A beta(1-42), were the down-regulation of at least 60 genes involved in transcription, signal transduction, apoptosis and neurogenesis. The ACT/fibril A beta(1-42) increased the expression of genes involved in transcription regulation and signal transduction. Surprisingly, gene expression of astrocytes exposed to soluble or fibrillar A beta(1-42) alone was largely unaffected. Thus, the molecular forms generated by the combination of ACT/A beta(1-42) alter expression of astrocyte genes more profoundly in breadth and magnitude than soluble or fibrillar A beta(1-42) alone, suggesting that pathogenic effects of A beta(1-42) may occur as a consequence of its association with other proteins. (c) 2005 Elsevier Inc. All rights reserved.
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2.
  • Obeidat, Ma'en, et al. (författare)
  • A Comprehensive Evaluation of Potential Lung Function Associated Genes in the SpiroMeta General Population Sample
  • 2011
  • Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 6:5, s. e19382-
  • Tidskriftsartikel (refereegranskat)abstract
    • Rationale: Lung function measures are heritable traits that predict population morbidity and mortality and are essential for the diagnosis of chronic obstructive pulmonary disease (COPD). Variations in many genes have been reported to affect these traits, but attempts at replication have provided conflicting results. Recently, we undertook a meta-analysis of Genome Wide Association Study (GWAS) results for lung function measures in 20,288 individuals from the general population (the SpiroMeta consortium). Objectives: To comprehensively analyse previously reported genetic associations with lung function measures, and to investigate whether single nucleotide polymorphisms (SNPs) in these genomic regions are associated with lung function in a large population sample. Methods: We analysed association for SNPs tagging 130 genes and 48 intergenic regions (+/-10 kb), after conducting a systematic review of the literature in the PubMed database for genetic association studies reporting lung function associations. Results: The analysis included 16,936 genotyped and imputed SNPs. No loci showed overall significant association for FEV1 or FEV1/FVC traits using a carefully defined significance threshold of 1.3 x 10(-5). The most significant loci associated with FEV1 include SNPs tagging MACROD2 (P = 6.81 x 10(-5)), CNTN5 (P = 4.37 x 10(-4)), and TRPV4 (P = 1.58 x 10(-3)). Among ever-smokers, SERPINA1 showed the most significant association with FEV1 (P = 8.41 x 10(-5)), followed by PDE4D (P = 1.22 x 10(-4)). The strongest association with FEV1/FVC ratio was observed with ABCC1 (P = 4.38 x 10(-4)), and ESR1 (P = 5.42 x 10(-4)) among ever-smokers. Conclusions: Polymorphisms spanning previously associated lung function genes did not show strong evidence for association with lung function measures in the SpiroMeta consortium population. Common SERPINA1 polymorphisms may affect FEV1 among smokers in the general population.
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3.
  • Sakornsakolpat, Phuwanat, et al. (författare)
  • Genetic landscape of chronic obstructive pulmonary disease identifies heterogeneous cell-type and phenotype associations
  • 2019
  • Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1061-4036 .- 1546-1718. ; 51:3, s. 494-505
  • Tidskriftsartikel (refereegranskat)abstract
    • Chronic obstructive pulmonary disease (COPD) is the leading cause of respiratory mortality worldwide. Genetic risk loci provide new insights into disease pathogenesis. We performed a genome-wide association study in 35,735 cases and 222,076 controls from the UK Biobank and additional studies from the International COPD Genetics Consortium. We identified 82 loci associated with P < 5 x 10-8; 47 of these were previously described in association with either COPD or population-based measures of lung function. Of the remaining 35 new loci, 13 were associated with lung function in 79,055 individuals from the SpiroMeta consortium. Using gene expression and regulation data, we identified functional enrichment of COPD risk loci in lung tissue, smooth muscle, and several lung cell types. We found 14 COPD loci shared with either asthma or pulmonary fibrosis. COPD genetic risk loci clustered into groups based on associations with quantitative imaging features and comorbidities. Our analyses provide further support for the genetic susceptibility and heterogeneity of COPD.
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4.
  • Vafadar-Isfahani, Baharak, et al. (författare)
  • Identification of SPARC-like 1 Protein as Part of a Biomarker Panel for Alzheimer's Disease in Cerebrospinal Fluid
  • 2012
  • Ingår i: Journal of Alzheimer's Disease. - 1387-2877. ; 28:3, s. 625-636
  • Tidskriftsartikel (refereegranskat)abstract
    • We have used proteomic fingerprinting to investigate diagnosis of Alzheimer's disease (AD). Samples of lumbar cerebrospinal fluid (CSF) from clinically-diagnosed AD cases (n = 33), age-matched controls (n = 20), and mild cognitive impairment (MCI) patients (n = 10) were used to obtain proteomic profiles, followed by bioinformatic analysis that generated a set of potential biomarkers in CSF samples that could discriminate AD cases from controls. The identity of the biomarker ions was determined using mass spectroscopy. The panel of seven peptide biomarker ions was able to discriminate AD patients from controls with a median accuracy of 95% (sensitivity 85%, specificity 97%). When this model was applied to an independent blind dataset from MCI patients, the intensity of signals was intermediate between the control and AD patients implying that these markers could potentially predict patients with early neurodegenerative disease. The panel were identified, in order of predictive ability, as SPARC-like 1 protein, fibrinogen alpha chain precursor, amyloid-beta, apolipoprotein E precursor, serum albumin precursor, keratin type I cytoskeletal 9, and tetranectin. The 7 ion ANN model was further validated using an independent cohort of samples, where the model was able to classify AD cases from controls with median accuracy of 84.5% (sensitivity 93.3%, specificity 75.7%). Validation by immunoassay was performed on the top three identified markers using the discovery samples and an independent sample cohort which was from postmortem confirmed AD patients (n = 17).
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