Literature DB >> 21980170

Searching for new biomarkers of renal diseases through proteomics.

Ana Konvalinka1, James W Scholey, Eleftherios P Diamandis.   

Abstract

BACKGROUND: Technological advances have resulted in a renaissance of proteomic studies directed at finding markers of disease progression, diagnosis, or responsiveness to therapy. Renal diseases are ideally suited for such research, given that urine is an easily accessible biofluid and its protein content is derived mainly from the kidney. Current renal prognostic markers have limited value, and renal biopsy remains the sole method for establishing a diagnosis. Mass spectrometry instruments, which can detect thousands of proteins at nanomolar (or even femtomolar) concentrations, may be expected to allow the discovery of improved markers of progression, diagnosis, or treatment responsiveness. CONTENT: In this review we describe the strengths and limitations of proteomic methods and the drawbacks of existing biomarkers, and provide an overview of opportunities in the field. We also highlight several proteomic studies of biomarkers of renal diseases selected from the plethora of studies performed.
SUMMARY: It is clear that the field of proteomics has not yet fulfilled its promise. However, ongoing efforts to standardize sample collection and preparation, improve study designs, perform multicenter validations, and create joint industry-regulatory bodies offer promise for the recognition of novel molecules that could change clinical nephrology forever.

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Year:  2011        PMID: 21980170     DOI: 10.1373/clinchem.2011.165969

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  14 in total

Review 1.  Nanosized contrast agents to noninvasively detect kidney inflammation by magnetic resonance imaging.

Authors:  Joshua M Thurman; Natalie J Serkova
Journal:  Adv Chronic Kidney Dis       Date:  2013-11       Impact factor: 3.620

Review 2.  Insights into Diabetic Kidney Disease Using Urinary Proteomics and Bioinformatics.

Authors:  Julie A D Van; James W Scholey; Ana Konvalinka
Journal:  J Am Soc Nephrol       Date:  2017-02-03       Impact factor: 10.121

Review 3.  Perspectives on systems biology applications in diabetic kidney disease.

Authors:  Claudiu V Komorowsky; Frank C Brosius; Subramaniam Pennathur; Matthias Kretzler
Journal:  J Cardiovasc Transl Res       Date:  2012-06-26       Impact factor: 4.132

4.  Taking the Kidney Personally: The Quest for Novel Antigens of Idiopathic Membranous Nephropathy through Proteomic Approaches - Per Ardua Ad Astra?

Authors:  Ana Konvalinka; Sanjeeva Srivastava; Mario Masellis
Journal:  Curr Pharmacogenomics Person Med       Date:  2013-03-01

5.  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

Review 6.  Proteomics and metabolomics in renal transplantation-quo vadis?

Authors:  Rahul Bohra; Jacek Klepacki; Jelena Klawitter; Jost Klawitter; Joshua M Thurman; Uwe Christians
Journal:  Transpl Int       Date:  2012-11-21       Impact factor: 3.782

7.  RNA Sequencing Identifies Novel Translational Biomarkers of Kidney Fibrosis.

Authors:  Florin L Craciun; Vanesa Bijol; Amrendra K Ajay; Poornima Rao; Ramya K Kumar; John Hutchinson; Oliver Hofmann; Nikita Joshi; James P Luyendyk; Ulrike Kusebauch; Christopher L Moss; Anand Srivastava; Jonathan Himmelfarb; Sushrut S Waikar; Robert L Moritz; Vishal S Vaidya
Journal:  J Am Soc Nephrol       Date:  2015-10-08       Impact factor: 10.121

8.  The novel diagnostic biomarkers for focal segmental glomerulosclerosis.

Authors:  Mohsen Nafar; Shiva Kalantari; Shiva Samavat; Mostafa Rezaei-Tavirani; Dorothea Rutishuser; Roman A Zubarev
Journal:  Int J Nephrol       Date:  2014-03-26

Review 9.  A compendium of urinary biomarkers indicative of glomerular podocytopathy.

Authors:  Miroslav Sekulic; Simona Pichler Sekulic
Journal:  Patholog Res Int       Date:  2013-11-13

10.  Urinary alpha-1 antitrypsin and CD59 glycoprotein predict albuminuria development in hypertensive patients under chronic renin-angiotensin system suppression.

Authors:  Laura Gonzalez-Calero; Marta Martin-Lorenzo; Fernando de la Cuesta; Aroa S Maroto; Montserrat Baldan-Martin; Gema Ruiz-Hurtado; Helena Pulido-Olmo; Julian Segura; Maria G Barderas; Luis M Ruilope; Fernando Vivanco; Gloria Alvarez-Llamas
Journal:  Cardiovasc Diabetol       Date:  2016-01-16       Impact factor: 9.951

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