↓ 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 16: Dynamic changes of urinary proteins in focal segmental glomerulosclerosis model.
Altmetric Badge

Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
2 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
Dynamic changes of urinary proteins in focal segmental glomerulosclerosis model.
Chapter number 16
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_16
Pubmed ID
Book ISBNs
978-9-40-179522-7, 978-9-40-179523-4
Authors

Zhao M, Mindi Zhao

Abstract

Compare to blood, which has mechanisms to maintain homeostasis, urine is more likely to reflect changes in the body. As urine accumulates all types of changes, identifying the precise cause of changes in the urine proteome is challenging and crucial in biomarker discovery. To reduce the confounding factors to minimal, some studies used animal model resembling human diseases. This chapter highlights the importance of animal models and introduces a strategic research which focused on adriamycin-induced nephropathy. In this study, urine samples were collected at before adriamycin administration and days 3, 7, 11, 15, and 23 after, urinary proteins were profiled by LC-MS/MS. Of 23 changed proteins with disease development, 13 proteins were identified as stable in normal human urine, meaning that changes in these proteins are more likely to reflect disease. We think this stage-dependent dynamic changes of urine proteome in animal models will help to support the role of urine as key source in biomarker discovery especially in kidney diseases and help to identify corresponding biomarkers for clinical validation.

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Researcher 1 50%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 100%

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
#4,089,347
of 4,888,368 outputs
Outputs from Advances in experimental medicine and biology
#1,075
of 1,473 outputs
Outputs of similar age
#126,570
of 152,128 outputs
Outputs of similar age from Advances in experimental medicine and biology
#9
of 12 outputs
Altmetric has tracked 4,888,368 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,473 research outputs from this source. They receive a mean Attention Score of 2.3. This one is in the 1st percentile – i.e., 1% 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 152,128 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.