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Urine Proteomics in Kidney Disease Biomarker Discovery

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Cover of 'Urine Proteomics in Kidney Disease Biomarker Discovery'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Urine Is a Better Biomarker Source Than Blood Especially for Kidney Diseases
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    Chapter 2 Urine Reflection of Changes in Blood
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    Chapter 3 Urimem Facilitates Kidney Disease Biomarker Research
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    Chapter 4 Human urine proteome: a powerful source for clinical research.
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    Chapter 5 Exosomes in Urine Biomarker Discovery
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    Chapter 6 Urinary Proteins with Post-translational Modifications.
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    Chapter 7 Applications of Peptide retention time in proteomic data analysis.
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    Chapter 8 Urine Sample Preparation in 96-well Filter Plates to Characterize Inflammatory and Infectious Diseases of the Urinary Tract.
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    Chapter 9 Variations of human urinary proteome.
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    Chapter 10 Evolution of the urinary proteome during human renal development and maturation.
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    Chapter 11 Hormone-dependent changes in female urinary proteome.
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    Chapter 12 Effects of exercise on the urinary proteome.
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    Chapter 13 Effects of diuretics on urinary proteins.
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    Chapter 14 Applications of urinary proteomics in renal disease research using animal models.
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    Chapter 15 The application of urinary proteomics for the detection of biomarkers of kidney diseases.
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    Chapter 16 Dynamic changes of urinary proteins in focal segmental glomerulosclerosis model.
  18. Altmetric Badge
    Chapter 17 Using isolated rat kidney to discover kidney origin biomarkers in urine.
  19. Altmetric Badge
    Chapter 18 Comparing plasma and urinary proteomes to understand kidney function.
  20. Altmetric Badge
    Chapter 19 Urinary protein biomarker database: a useful tool for biomarker discovery.
Attention for Chapter 12: Effects of exercise on the urinary proteome.
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Chapter title
Effects of exercise on the urinary proteome.
Chapter number 12
Book title
Urine Proteomics in Kidney Disease Biomarker Discovery
Published in
Advances in experimental medicine and biology, November 2014
DOI 10.1007/978-94-017-9523-4_12
Pubmed ID
Book ISBNs
978-9-40-179522-7, 978-9-40-179523-4
Authors

Kohler M, Schänzer W, Thevis M, Maxie Kohler, Wilhelm Schänzer, Mario Thevis

Abstract

Exercise-induced proteinuria has been observed and studied for more than a century. It was found that different sport disciplines alter the urinary proteome in different ways. Moderate-intensity exercise results in increased glomerular filtration, meaning that medium-sized proteins are excreted in higher amounts, while high-intensity exercise of short duration also increases the excretion of low molecular weight proteins as a result of tubular dysfunction. Exhaustive exercise may lead to the excretion of hemoglobin or myoglobin, which changes the urinary proteome considerably. Studies comparing protein maps of different sport types compared to a control group showed that quality and quantity of urinary proteins are interindividually different. In addition, urine samples collected before and after exercise exhibit substantially different protein patterns even from the same person. Therefore, further studies investigating the urinary proteome are desirable. As the variation of protein content and composition in urine are generally much higher than in other matrices, respective studies need to be well controlled and homogenous groups of volunteers should be chosen. In addition to the sport-related physiological and biochemical interest, exercise-induced protein changes also need to be considered for biomarker measurements from urine samples for kidney or other diseases.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 19%
Student > Bachelor 3 14%
Researcher 3 14%
Student > Master 3 14%
Professor 2 10%
Other 3 14%
Unknown 3 14%
Readers by discipline Count As %
Nursing and Health Professions 5 24%
Sports and Recreations 3 14%
Medicine and Dentistry 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Agricultural and Biological Sciences 1 5%
Other 2 10%
Unknown 7 33%

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 18 March 2015.
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#4,089,225
of 4,888,304 outputs
Outputs from Advances in experimental medicine and biology
#1,073
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Outputs of similar age
#126,598
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Outputs of similar age from Advances in experimental medicine and biology
#9
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