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Träfflista för sökning "WFRF:(Wise L) "

Search: WFRF:(Wise L)

  • Result 1-10 of 82
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  • Murari, A., et al. (author)
  • A control oriented strategy of disruption prediction to avoid the configuration collapse of tokamak reactors
  • 2024
  • In: Nature Communications. - 2041-1723 .- 2041-1723. ; 15:1
  • Journal article (peer-reviewed)abstract
    • The objective of thermonuclear fusion consists of producing electricity from the coalescence of light nuclei in high temperature plasmas. The most promising route to fusion envisages the confinement of such plasmas with magnetic fields, whose most studied configuration is the tokamak. Disruptions are catastrophic collapses affecting all tokamak devices and one of the main potential showstoppers on the route to a commercial reactor. In this work we report how, deploying innovative analysis methods on thousands of JET experiments covering the isotopic compositions from hydrogen to full tritium and including the major D-T campaign, the nature of the various forms of collapse is investigated in all phases of the discharges. An original approach to proximity detection has been developed, which allows determining both the probability of and the time interval remaining before an incoming disruption, with adaptive, from scratch, real time compatible techniques. The results indicate that physics based prediction and control tools can be developed, to deploy realistic strategies of disruption avoidance and prevention, meeting the requirements of the next generation of devices.
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  • Ruilope, LM, et al. (author)
  • Design and Baseline Characteristics of the Finerenone in Reducing Cardiovascular Mortality and Morbidity in Diabetic Kidney Disease Trial
  • 2019
  • In: American journal of nephrology. - : S. Karger AG. - 1421-9670 .- 0250-8095. ; 50:5, s. 345-356
  • Journal article (peer-reviewed)abstract
    • <b><i>Background:</i></b> Among people with diabetes, those with kidney disease have exceptionally high rates of cardiovascular (CV) morbidity and mortality and progression of their underlying kidney disease. Finerenone is a novel, nonsteroidal, selective mineralocorticoid receptor antagonist that has shown to reduce albuminuria in type 2 diabetes (T2D) patients with chronic kidney disease (CKD) while revealing only a low risk of hyperkalemia. However, the effect of finerenone on CV and renal outcomes has not yet been investigated in long-term trials. <b><i>Patients and</i></b> <b><i>Methods:</i></b> The Finerenone in Reducing CV Mortality and Morbidity in Diabetic Kidney Disease (FIGARO-DKD) trial aims to assess the efficacy and safety of finerenone compared to placebo at reducing clinically important CV and renal outcomes in T2D patients with CKD. FIGARO-DKD is a randomized, double-blind, placebo-controlled, parallel-group, event-driven trial running in 47 countries with an expected duration of approximately 6 years. FIGARO-DKD randomized 7,437 patients with an estimated glomerular filtration rate ≥25 mL/min/1.73 m<sup>2</sup> and albuminuria (urinary albumin-to-creatinine ratio ≥30 to ≤5,000 mg/g). The study has at least 90% power to detect a 20% reduction in the risk of the primary outcome (overall two-sided significance level α = 0.05), the composite of time to first occurrence of CV death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for heart failure. <b><i>Conclusions:</i></b> FIGARO-DKD will determine whether an optimally treated cohort of T2D patients with CKD at high risk of CV and renal events will experience cardiorenal benefits with the addition of finerenone to their treatment regimen. Trial Registration: EudraCT number: 2015-000950-39; ClinicalTrials.gov identifier: NCT02545049.
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  • Fresard, Laure, et al. (author)
  • Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts
  • 2019
  • In: Nature Medicine. - : NATURE PUBLISHING GROUP. - 1078-8956 .- 1546-170X. ; 25:6, s. 911-919
  • Journal article (peer-reviewed)abstract
    • It is estimated that 350 million individuals worldwide suffer from rare diseases, which are predominantly caused by mutation in a single gene(1). The current molecular diagnostic rate is estimated at 50%, with whole-exome sequencing (WES) among the most successful approaches(2-5). For patients in whom WES is uninformative, RNA sequencing (RNA-seq) has shown diagnostic utility in specific tissues and diseases(6-8). This includes muscle biopsies from patients with undiagnosed rare muscle disorders(6,9), and cultured fibroblasts from patients with mitochondrial disorders(7). However, for many individuals, biopsies are not performed for clinical care, and tissues are difficult to access. We sought to assess the utility of RNA-seq from blood as a diagnostic tool for rare diseases of different pathophysiologies. We generated whole-blood RNA-seq from 94 individuals with undiagnosed rare diseases spanning 16 diverse disease categories. We developed a robust approach to compare data from these individuals with large sets of RNA-seq data for controls (n = 1,594 unrelated controls and n = 49 family members) and demonstrated the impacts of expression, splicing, gene and variant filtering strategies on disease gene identification. Across our cohort, we observed that RNA-seq yields a 7.5% diagnostic rate, and an additional 16.7% with improved candidate gene resolution.
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  • Result 1-10 of 82
Type of publication
journal article (73)
research review (7)
conference paper (2)
Type of content
peer-reviewed (75)
other academic/artistic (7)
Author/Editor
Orru, E. (27)
Hoeft, M. (26)
de Gasperin, F. (25)
van Weeren, R. J. (25)
Tasse, C. (25)
Ferrari, C. (24)
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Best, P. (24)
Heald, G. (24)
Brüggen, M. (24)
Steinmetz, M. (23)
Pizzo, R. (23)
Wucknitz, O. (23)
Bonafede, A. (23)
Falcke, H. (23)
Wise, M. W. (23)
Ciardi, B. (22)
Garrett, M. A. (22)
Kuper, G. (22)
Vermeulen, R. (22)
Anderson, J. (21)
Breitling, F. (21)
McKean, J. P. (21)
Pandey-Pommier, M. (21)
Zarka, P. (21)
Sluman, J. (21)
Bernardi, G. (20)
Conway, John, 1963 (20)
Bentum, M. J. (20)
Reich, W. (20)
Smirnov, O. (20)
Tagger, M. (20)
Frieswijk, W. (20)
Kuniyoshi, M. (20)
Tang, Y. (20)
Bell, M. E. (19)
Vocks, C. (19)
Avruch, I. M. (19)
Kondratiev, V. I. (19)
Maat, P. (19)
Munk, H. (19)
Karastergiou, A. (18)
Gunst, A. W. (18)
de Geus, E. (18)
Paas, H. (18)
Polatidis, A. G. (18)
van Leeuwen, J. (17)
Butcher, H. R. (17)
Duscha, S. (17)
Iacobelli, M. (17)
Mann, G. (17)
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University
Karolinska Institutet (31)
Chalmers University of Technology (28)
Linnaeus University (13)
Uppsala University (11)
University of Gothenburg (7)
Lund University (6)
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Stockholm University (5)
Royal Institute of Technology (3)
Umeå University (2)
Linköping University (2)
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Language
English (82)
Research subject (UKÄ/SCB)
Natural sciences (40)
Medical and Health Sciences (21)
Engineering and Technology (4)

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