177 research outputs found

    Fenofibrate-associated changes in renal function and relationship to clinical outcomes among individuals with type 2 diabetes: the Action to Control Cardiovascular Risk in Diabetes (ACCORD) experience

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    Fenofibrate has been noted to cause an elevation in serum creatinine in some individuals. Participants in the Action to Control Cardiovascular Risk in Diabetes Lipid Study were studied to better characterise who is at risk of an increase in creatinine level and to determine whether those with creatinine elevation have a differential risk of adverse renal or cardiovascular outcomes

    Reversibility of Fenofibrate Therapy-Induced Renal Function Impairment in ACCORD Type 2 Diabetic Participants

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    OBJECTIVETo assess the reversibility of the elevation of serum creatinine levels in patients with diabetes after 5 years of continuous on-trial fenofibrate therapy.RESEARCH DESIGN AND METHODSAn on-drug/off-drug ancillary study to the Action to Control Cardiovascular Risk in Diabetes (ACCORD) Lipid Trial to investigate posttrial changes in serum creatinine and cystatin C. Eligible participants were recruited into a prospective, nested, three-group study based on retrospective on-trial serum creatinine levels: fenofibrate case subjects (n = 321, ≥20% increase after 3 months of therapy); fenofibrate control subjects (n = 175, ≤2% increase); and placebo control subjects (n = 565). Serum creatinine and cystatin C were measured at trial end and 6–8 weeks after discontinuation of trial therapy.RESULTSAt trial end, case subjects had the highest adjusted serum creatinine (± SE) mg/dL (1.11 ± 0.02) and the lowest adjusted estimated glomerular filtration rate (eGFR) (± SE) mL/min/1.73 m2 (68.4 ± 1.0) versus control subjects (1.01 ± 0.02; 74.8 ± 1.3) and placebo subjects (0.98 ± 0.01; 77.8 ± 0.7). After 51 days off-drug, serum creatinine in case subjects was still higher (0.97 ± 0.02) and eGFR still lower (77.8 ± 1.0) than control subjects (0.90 ± 0.02; 81.8 ± 1.3) but not different from placebo subjects (0.99 ± 0.01; 76.6 ± 0.7). Changes in serum cystatin C recapitulated the serum creatinine changes.CONCLUSIONSParticipants with significant initial on-trial increases in serum creatinine (≥20%) returned to the same level of renal function as participants receiving placebo while participants who had ≤2% increase in serum creatinine had net preservation of renal function compared with the same unselected placebo reference group. The fenofibrate-associated on-trial increases in serum creatinine were reversible, and the reversal was complete after 51 days off-drug. The similarity of the cystatin C results suggests that the mechanism of this change is not specific for serum creatinine

    T1DBase: integration and presentation of complex data for type 1 diabetes research

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    T1DBase () [Smink et al. (2005) Nucleic Acids Res., 33, D544–D549; Burren et al. (2004) Hum. Genomics, 1, 98–109] is a public website and database that supports the type 1 diabetes (T1D) research community. T1DBase provides a consolidated T1D-oriented view of the complex data world that now confronts medical researchers and enables scientists to navigate from information they know to information that is new to them. Overview pages for genes and markers summarize information for these elements. The Gene Dossier summarizes information for a list of genes. GBrowse [Stein et al. (2002) Genome Res., 10, 1599–1610] displays genes and other features in their genomic context, and Cytoscape [Shannon et al. (2003) Genome Res., 13, 2498–2504] shows genes in the context of interacting proteins and genes. The Beta Cell Gene Atlas shows gene expression in β cells, islets, and related cell types and lines, and the Tissue Expression Viewer shows expression across other tissues. The Microarray Viewer shows expression from more than 20 array experiments. The Beta Cell Gene Expression Bank contains manually curated gene and pathway annotations for genes expressed in β cells. T1DMart is a query tool for markers and genotypes. PosterPages are ‘home pages’ about specific topics or datasets. The key challenge, now and in the future, is to provide powerful informatics capabilities to T1D scientists in a form they can use to enhance their research

    HLA genotyping in the international Type 1 Diabetes Genetics Consortium

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    Background Although human leukocyte antigen (HLA) DQ and DR loci appear to confer the strongest genetic risk for type 1 diabetes, more detailed information is required for other loci within the HLA region to understand causality and stratify additional risk factors. The Type 1 Diabetes Genetics Consortium (T1DGC) study design included high-resolution genotyping of HLA-A, B, C, DRB1, DQ, and DP loci in all affected sibling pair and trio families, and cases and controls, recruited from four networks worldwide, for analysis with clinical phenotypes and immunological markers
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