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  • Computational Methods  (1)
  • Key words Growth hormone  (1)
  • Oxford University Press  (1)
  • Springer  (1)
  • AGU (American Geophysical Union)
  • Annual Reviews
  • 1
    ISSN: 1432-1238
    Schlagwort(e): Key words Growth hormone ; Insulin-like growth factor-1 ; Acute phase proteins ; C-reactive protein ; Serum amyloid A ; Interleukin-6
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Medizin
    Notizen: Abstract Background: Human recombinant growth hormone (rhGH) has been shown to increase skeletal muscle protein synthesis and improve nitrogen balance in critically ill patients and those undergoing surgery. rhGH effects on hepatic protein turnover in critically ill patients are less clearly understood. Objective: To examine rhGH effects on hepatic acute phase protein responses and inflammatory cytokine release in patients undergoing major surgery. Design: Prospective double blind randomised trial. Setting: Tertiary referral university teaching hospital. Patients: Patients undergoing elective abdominal aortic aneurysm repair. Intervention: Patients received rhGH (Genotropin, 0.3 IU/kg per day, n = 8) or placebo (n = 10) for 6 days prior to surgery. Results: Blood levels of growth hormone (GH) and insulin-like growth factor (IGF-1) were measured following rhGH treatment and C-reactive protein (CRP), serum amyloid A (SAA) and the cytokines interleukin-6 (IL-6) and the IL-1 receptor antagonist (IL-1ra) were measured for up to 24 h following surgery. Significant increases in plasma rhGH (0.84 ± 0.3, mean (sem) versus 52 ± 20 mU/l, p 〈 0.0008) and IGF-1 levels (119 ± 13 versus 644 ± 110 ng/ml, p 〈 0.0001) were seen prior to surgery following rhGH administration. No differences in acute phase protein or cytokine levels were seen following surgery in patients receiving rhGH. Conclusions: These results indicate that pre-operative administration of rhGH does not alter acute phase protein or inflammatory cytokine release in response to major surgery.
    Materialart: Digitale Medien
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    Publikationsdatum: 2014-08-15
    Beschreibung: High-throughput sequencing technologies, including RNA-seq, have made it possible to move beyond gene expression analysis to study transcriptional events including alternative splicing and gene fusions. Furthermore, recent studies in cancer have suggested the importance of identifying transcriptionally altered loci as biomarkers for improved prognosis and therapy. While many statistical methods have been proposed for identifying novel transcriptional events with RNA-seq, nearly all rely on contrasting known classes of samples, such as tumor and normal. Few tools exist for the unsupervised discovery of such events without class labels. In this paper, we present SigFuge for identifying genomic loci exhibiting differential transcription patterns across many RNA-seq samples. SigFuge combines clustering with hypothesis testing to identify genes exhibiting alternative splicing, or differences in isoform expression. We apply SigFuge to RNA-seq cohorts of 177 lung and 279 head and neck squamous cell carcinoma samples from the Cancer Genome Atlas, and identify several cases of differential isoform usage including CDKN2A , a tumor suppressor gene known to be inactivated in a majority of lung squamous cell tumors. By not restricting attention to known sample stratifications, SigFuge offers a novel approach to unsupervised screening of genetic loci across RNA-seq cohorts. SigFuge is available as an R package through Bioconductor.
    Schlagwort(e): Computational Methods
    Print ISSN: 0305-1048
    Digitale ISSN: 1362-4962
    Thema: Biologie
    Publiziert von Oxford University Press
    Standort Signatur Einschränkungen Verfügbarkeit
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