Literature DB >> 25355578

The application of urinary proteomics for the detection of biomarkers of kidney diseases.

Song Jiang1, Yu Wang, Zhihong Liu.   

Abstract

Urine is a biological material that can be easily obtained in the clinic. The identification of proteins excreted in urine provides useful biological information about the kidney as well as a unique opportunity to examine physiological and pathological changes in the kidney in a noninvasive manner. Recent technological advances in urinary proteomic profiling have provided the foundation for a number of urinary proteomic studies directed at identifying markers of kidney disease diagnosis, prognosis, or responsiveness to therapy. In this review, we describe the strengths of different urinary proteomic methods for the discovery of potential biomarkers of kidney diseases. We also highlight the limitations and future goals of these approaches.

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Year:  2015        PMID: 25355578     DOI: 10.1007/978-94-017-9523-4_15

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  4 in total

1.  Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals.

Authors:  J Graessler; C S Mehnert; K-M Schulte; S Bergmann; S Strauss; T D Bornstein; J Licinio; M-L Wong; A L Birkenfeld; S R Bornstein
Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

2.  Urine Proteomics Reveals Sex-Specific Response to Total Pancreatectomy With Islet Autotransplantation.

Authors:  Tue Bjerg Bennike; Kate Templeton; Kimino Fujimura; Melena D Bellin; Saima Ahmed; Christoph N Schlaffner; Rohit Arora; Zobeida Cruz-Monserrate; Ramy Arnaout; Gregory J Beilman; Amit S Grover; Darwin L Conwell; Hanno Steen
Journal:  Pancreas       Date:  2022-07-27       Impact factor: 3.243

3.  Comparative differential proteomic analysis of minimal change disease and focal segmental glomerulosclerosis.

Authors:  Vanessa Pérez; Dolores López; Ester Boixadera; Meritxell Ibernón; Anna Espinal; Josep Bonet; Ramón Romero
Journal:  BMC Nephrol       Date:  2017-02-03       Impact factor: 2.388

Review 4.  Evaluation of the Molecular Mechanisms of Sepsis Using Proteomics.

Authors:  He Miao; Song Chen; Renyu Ding
Journal:  Front Immunol       Date:  2021-10-21       Impact factor: 7.561

  4 in total

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