Literature DB >> 26950928

Novel Biomarkers for Renal Diseases? None for the Moment (but One).

Giorgio Gentile1, Giuseppe Remuzzi2.   

Abstract

Recent years have witnessed the unprecedented development and integration of genomics, epigenetics, transcriptomics, proteomics, and metabolomics, as well as a growing interest in novel single biomarkers and process-specific biomarker panels in human renal diseases. In a scenario currently dominated by kidney biopsy and established biomarkers such as serum creatinine, albuminuria, and proteinuria, novel biomarkers could potentially provide vital diagnostic and prognostic information and help to predict response to treatment in several clinical settings, including acute kidney injury, renal transplant, autosomal dominant polycystic kidney disease, and glomerulopathies. However, it is still uncertain whether and to what extent novel biomarkers will succeed in this difficult task. To date, they have generally failed to provide relevant information over and above what is already granted by established, cheap, and easily available biomarkers such as proteinuria, while the complexity and costs of these technology platforms are an important obstacle to their wide adoption. On the other hand, the successful implementation of anti-phospholipase A2 receptor antibodies as a diagnostic and prognostic biomarker of membranous nephropathy, as well as the huge number of ongoing collaborative efforts worldwide, should induce the nephrology community to be rather optimistic about a potential breakthrough in the management of kidney diseases over the next few decades.
© 2016 Society for Laboratory Automation and Screening.

Entities:  

Keywords:  acute kidney injury; biomarkers; chronic kidney disease; genomics; glomerulopathies; kidney transplant; metabolomics; proteomics; review

Mesh:

Substances:

Year:  2016        PMID: 26950928     DOI: 10.1177/1087057116629916

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  10 in total

1.  The Possibilities to Improve Kidney Health with Proteomics.

Authors:  Stein Ivar Hallan
Journal:  Clin J Am Soc Nephrol       Date:  2017-07-21       Impact factor: 8.237

Review 2.  Genomic approaches in the search for molecular biomarkers in chronic kidney disease.

Authors:  M Cañadas-Garre; K Anderson; J McGoldrick; A P Maxwell; A J McKnight
Journal:  J Transl Med       Date:  2018-10-25       Impact factor: 5.531

Review 3.  Role and prognostic value of individual ambulatory blood pressure components in chronic kidney disease.

Authors:  Fabio Angeli; Giorgio Gentile; Monica Trapasso; Paolo Verdecchia; Gianpaolo Reboldi
Journal:  J Hum Hypertens       Date:  2018-06-13       Impact factor: 3.012

Review 4.  Novel Biomarkers in the Diagnosis of Chronic Kidney Disease and the Prediction of Its Outcome.

Authors:  Jacek Rysz; Anna Gluba-Brzózka; Beata Franczyk; Zbigniew Jabłonowski; Aleksandra Ciałkowska-Rysz
Journal:  Int J Mol Sci       Date:  2017-08-04       Impact factor: 5.923

5.  The biobank for the molecular classification of kidney disease: research translation and precision medicine in nephrology.

Authors:  Daniel A Muruve; Michelle C Mann; Kevin Chapman; Josee F Wong; Pietro Ravani; Stacey A Page; Hallgrimur Benediktsson
Journal:  BMC Nephrol       Date:  2017-07-26       Impact factor: 2.388

6.  A simple pregnancy-related kidney disease screening method: random proteinuria testing.

Authors:  Won Kim
Journal:  Korean J Intern Med       Date:  2017-10-27       Impact factor: 2.884

Review 7.  The Challenges of Chromosome Y Analysis and the Implications for Chronic Kidney Disease.

Authors:  Kerry Anderson; Marisa Cañadas-Garre; Robyn Chambers; Alexander Peter Maxwell; Amy Jayne McKnight
Journal:  Front Genet       Date:  2019-09-04       Impact factor: 4.599

8.  Urinary peptidomics and bioinformatics for the detection of diabetic kidney disease.

Authors:  Letícia de Almeida Brondani; Ariana Aguiar Soares; Mariana Recamonde-Mendoza; Angélica Dall'Agnol; Joíza Lins Camargo; Karina Mariante Monteiro; Sandra Pinho Silveiro
Journal:  Sci Rep       Date:  2020-01-27       Impact factor: 4.379

Review 9.  Biomarkers of Kidney Disease in Horses: A Review of the Current Literature.

Authors:  Gaby van Galen; Emil Olsen; Natalia Siwinska
Journal:  Animals (Basel)       Date:  2022-10-05       Impact factor: 3.231

10.  Proteomic Analysis of Human Serum from Patients with Chronic Kidney Disease.

Authors:  Yulia Romanova; Alexander Laikov; Maria Markelova; Rania Khadiullina; Alfiz Makseev; Milausha Hasanova; Albert Rizvanov; Svetlana Khaiboullina; Ilnur Salafutdinov
Journal:  Biomolecules       Date:  2020-02-07
  10 in total

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