Skip to main content
Home
BE
  • nl
  • fr
  • en
  • About Sciensano
    • About Sciensano
    • Our products and services
    • Working / doing an internship at Sciensano
    • Partnerships
    • Contact Sciensano
    • Sciensano's organogram
    • Annual report 2019: Sciensano in figures
    • History of Sciensano
    • Values and standards
    • Our commitment to quality, health, safety and environment
    • Emergency and Response
  • Health Topics A-Z
  • Press Corner

Search form

  1. Home
  2. Biblio
  3. A urinary protein biomarkers panel to discriminate progressive from non-progressive chronic kidney disease using a targeted proteomics method

A urinary protein biomarkers panel to discriminate progressive from non-progressive chronic kidney disease using a targeted proteomics method

Last updated on 22-8-2019 by Anonymous (not verified)
Health and disease monitoring  

Scientific poster, presentation or proceeding

English

SCIENSANO

Authors

Stéphanie Fraselle; Koen De Cremer; W. Coucke; Glorieux,G.; Vanmassenhove,J.; Schepers,E.; Neirynck,N.; Ilse Van Overmeire; Joris Van Loco; Van Biesen,W.; Vanholder,R.

Keywords

  1. Absolute
  2. additional
  3. Affect
  4. age
  5. Albuminuria
  6. ALL
  7. alternative
  8. an
  9. analysi
  10. analysis
  11. AS
  12. association
  13. at
  14. Belgian
  15. Biomarkers
  16. blood
  17. chronic
  18. clinic
  19. conference
  20. Control
  21. Creatinine
  22. Diagnosis
  23. Discriminant Analysis
  24. Discussion
  25. disease
  26. factors
  27. Follow
  28. general
  29. general population
  30. General-population
  31. Group
  32. High risk
  33. HIGH-RISK
  34. hospital
  35. INFORMATION
  36. IS
  37. Kidney
  38. Literature
  39. Marker
  40. Markers
  41. Mass
  42. measurement
  43. method
  44. methods
  45. MODEL
  46. models
  47. objectives
  48. ON
  49. Patient
  50. patients
  51. Peptides
  52. POPULATION
  53. poster
  54. protein
  55. Proteins
  56. Proteomics
  57. protocol
  58. RENAL
  59. result
  60. results
  61. risk
  62. Sample
  63. Samples
  64. SELECTED
  65. serum
  66. STANDARD
  67. standards
  68. Still
  69. Universities
  70. university
  71. university hospital
  72. Urinary
  73. urine
  74. Validate
  75. Weight

Abstract:

I
Read more

Abstract

I

Associated health topics:

Health and disease monitoring
  • RTF
  • Tagged
  • EndNote XML
  • RIS

QR code

QR code for this page URL
Printer-friendly versionSend by email

Sciensano info

 +32 2 642 51 11
 info@sciensano.be
 contact
 +32 2 642 50 01

Postal address

Sciensano
Rue Juliette Wytsmanstraat 14
1050 Brussels, Belgium

About us
Sciensano jobs
Responsibility and privacy
Privacy notice

WIV-ISP Logo