↓ Skip to main content

Urine Proteomics in Kidney Disease Biomarker Discovery

Overview of attention for book
Cover of 'Urine Proteomics in Kidney Disease Biomarker Discovery'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Urine Is a Better Biomarker Source Than Blood Especially for Kidney Diseases
  3. Altmetric Badge
    Chapter 2 Urine Reflection of Changes in Blood
  4. Altmetric Badge
    Chapter 3 Urimem Facilitates Kidney Disease Biomarker Research
  5. Altmetric Badge
    Chapter 4 Human urine proteome: a powerful source for clinical research.
  6. Altmetric Badge
    Chapter 5 Exosomes in Urine Biomarker Discovery
  7. Altmetric Badge
    Chapter 6 Urinary Proteins with Post-translational Modifications.
  8. Altmetric Badge
    Chapter 7 Applications of Peptide retention time in proteomic data analysis.
  9. Altmetric Badge
    Chapter 8 Urine Sample Preparation in 96-well Filter Plates to Characterize Inflammatory and Infectious Diseases of the Urinary Tract.
  10. Altmetric Badge
    Chapter 9 Variations of human urinary proteome.
  11. Altmetric Badge
    Chapter 10 Evolution of the urinary proteome during human renal development and maturation.
  12. Altmetric Badge
    Chapter 11 Hormone-dependent changes in female urinary proteome.
  13. Altmetric Badge
    Chapter 12 Effects of exercise on the urinary proteome.
  14. Altmetric Badge
    Chapter 13 Effects of diuretics on urinary proteins.
  15. Altmetric Badge
    Chapter 14 Applications of urinary proteomics in renal disease research using animal models.
  16. Altmetric Badge
    Chapter 15 The application of urinary proteomics for the detection of biomarkers of kidney diseases.
  17. Altmetric Badge
    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.
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 X user

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
28 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.
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.

X Demographics

X Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 27 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 14%
Student > Master 3 11%
Researcher 3 11%
Student > Ph. D. Student 3 11%
Student > Doctoral Student 2 7%
Other 5 18%
Unknown 8 29%
Readers by discipline Count As %
Nursing and Health Professions 5 18%
Sports and Recreations 3 11%
Chemistry 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Computer Science 1 4%
Other 3 11%
Unknown 13 46%
Attention Score in Context

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.
All research outputs
#18,403,994
of 22,796,179 outputs
Outputs from Advances in experimental medicine and biology
#3,312
of 4,949 outputs
Outputs of similar age
#186,497
of 260,602 outputs
Outputs of similar age from Advances in experimental medicine and biology
#36
of 95 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,949 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 260,602 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 95 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.