↓ Skip to main content

The CTGF -945GC polymorphism is not associated with plasma CTGF and does not predict nephropathy or outcome in type 1 diabetes

Overview of attention for article published in Journal of Negative Results in BioMedicine, May 2011
Altmetric Badge

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The CTGF -945GC polymorphism is not associated with plasma CTGF and does not predict nephropathy or outcome in type 1 diabetes
Published in
Journal of Negative Results in BioMedicine, May 2011
DOI 10.1186/1477-5751-10-4
Pubmed ID
Authors

Amélie Dendooven, Tri Q Nguyen, Lodewijk Brosens, Dongxia Li, Lise Tarnow, Hans-Henrik Parving, Peter Rossing, Roel Goldschmeding

Abstract

The -945GC polymorphism (rs6918698) in the connective tissue growth factor gene promoter (CTGF/CCN-2) has been associated with end organ damage in systemic sclerosis. Because CTGF is important in progression of diabetic kidney disease, we investigated whether the -945GC polymorphism is associated with plasma CTGF level and outcome in type 1 diabetes. The study cohort consisted of 448 diabetic nephropathy patients and 419 normoalbuminuric diabetic patients with complete data concerning renal function and cardiovascular characteristics. Genomic DNA was genotyped by a QPCR-based SNP assay. We observed no relation between the -945GC polymorphism and plasma CTGF level, and the genotype frequencies were not different in nephropathy patients vs. normoalbuminuric controls. General and cardiovascular mortality, and renal function decline was similar in patients with CC, CG or GG genotypes. In conclusion, the -945GC SNP does not affect plasma CTGF levels, incidence and prognosis of diabetic nephropathy, and cardiovascular outcome.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 4 21%
Professor > Associate Professor 3 16%
Student > Bachelor 2 11%
Researcher 2 11%
Student > Master 2 11%
Other 3 16%
Unknown 3 16%
Readers by discipline Count As %
Medicine and Dentistry 6 32%
Agricultural and Biological Sciences 4 21%
Psychology 2 11%
Nursing and Health Professions 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 0 0%
Unknown 5 26%