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Detection of autosomal dominant polycystic kidney disease by NMR spectroscopic fingerprinting of urine

Overview of attention for article published in Kidney International, June 2011
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Citations

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1 CiteULike
Title
Detection of autosomal dominant polycystic kidney disease by NMR spectroscopic fingerprinting of urine
Published in
Kidney International, June 2011
DOI 10.1038/ki.2011.30
Pubmed ID
Authors

Wolfram Gronwald, Matthias S. Klein, Raoul Zeltner, Bernd-Detlef Schulze, Stephan W. Reinhold, Markus Deutschmann, Ann-Kathrin Immervoll, Carsten A. Böger, Bernhard Banas, Kai-Uwe Eckardt, Peter J. Oefner

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is a frequent cause of kidney failure; however, urinary biomarkers for the disease are lacking. In a step towards identifying such markers, we used multidimensional-multinuclear nuclear magnetic resonance (NMR) spectroscopy with support vector machine-based classification and analyzed urine specimens of 54 patients with ADPKD and slightly reduced estimated glomerular filtration rates. Within this cohort, 35 received medication for arterial hypertension and 19 did not. The results were compared with NMR profiles of 46 healthy volunteers, 10 ADPKD patients on hemodialysis with residual renal function, 16 kidney transplant patients, and 52 type 2 diabetic patients with chronic kidney disease. Based on the average of 51 out of 701 NMR features, we could reliably discriminate ADPKD patients with moderately advanced disease from ADPKD patients with end-stage renal disease, patients with chronic kidney disease of other etiologies, and healthy probands with an accuracy of >80%. Of the 35 patients with ADPKD receiving medication for hypertension, most showed increased excretion of proteins and also methanol. In contrast, elevated urinary methanol was not found in any of the control and other patient groups. Thus, we found that NMR fingerprinting of urine differentiates ADPKD from several other kidney diseases and individuals with normal kidney function. The diagnostic and prognostic potential of these profiles requires further evaluation.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
India 1 1%
France 1 1%
Australia 1 1%
Korea, Republic of 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 22 31%
Researcher 14 19%
Unspecified 8 11%
Student > Ph. D. Student 7 10%
Professor 5 7%
Other 16 22%
Readers by discipline Count As %
Medicine and Dentistry 14 19%
Biochemistry, Genetics and Molecular Biology 12 17%
Agricultural and Biological Sciences 12 17%
Unspecified 11 15%
Chemistry 8 11%
Other 15 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 April 2011.
All research outputs
#7,684,402
of 12,298,624 outputs
Outputs from Kidney International
#3,614
of 4,650 outputs
Outputs of similar age
#7,372,683
of 11,675,649 outputs
Outputs of similar age from Kidney International
#3,609
of 4,639 outputs
Altmetric has tracked 12,298,624 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,650 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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We're also able to compare this research output to 4,639 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.