Literature DB >> 17803474

Quantification of gene expression in urinary sediment for the study of renal diseases.

Gang Wang1, Cheuk-Chun Szeto.   

Abstract

Urinalysis has been used extensively in clinical practice to aid in the diagnosis of various renal diseases. With the advances in technology of molecular biology, gene expression and proteomic studies are now possible for urinary sediment. In this review article, we focus on the quantification of messenger RNA expression in urinary sediment by reverse-transcription and real-time quantitative polymerase chain reaction. Recently, this technique has been explored for three potential applications: (i) distinguishing the different causes of kidney disease; (ii) assessment of kidney disease activity, progression and response to therapy; and (iii) as a tool to study the pathogenesis. Although the method is simple and non-invasive, it requires further research to define the role in routine clinical practice. At this moment, the technique should only be considered experimental albeit promising.

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Year:  2007        PMID: 17803474     DOI: 10.1111/j.1440-1797.2007.00836.x

Source DB:  PubMed          Journal:  Nephrology (Carlton)        ISSN: 1320-5358            Impact factor:   2.506


  7 in total

1.  Urinary expression of kidney injury markers in renal transplant recipients.

Authors:  Cheuk-Chun Szeto; Bonnie Ching-Ha Kwan; Ka-Bik Lai; Fernand Mac-Moune Lai; Kai-Ming Chow; Gang Wang; Cathy Choi-Wan Luk; Philip Kam-Tao Li
Journal:  Clin J Am Soc Nephrol       Date:  2010-07-29       Impact factor: 8.237

2.  Imbalance towards Th1 pathway predominance in purpura nephritis with proteinuria.

Authors:  Kazushi Tsuruga; Shojiro Watanabe; Eishin Oki; Tomomi Aizawa-Yashiro; Hidemi Yoshida; Tadaatsu Imaizumi; Etsuro Ito; Hiroshi Tanaka
Journal:  Pediatr Nephrol       Date:  2011-09-16       Impact factor: 3.714

3.  Urinary exosomes: a novel means to non-invasively assess changes in renal gene and protein expression.

Authors:  Silvia Spanu; Claudia R C van Roeyen; Bernd Denecke; Jürgen Floege; Anja S Mühlfeld
Journal:  PLoS One       Date:  2014-10-13       Impact factor: 3.240

4.  Increased urinary exosomal microRNAs in children with idiopathic nephrotic syndrome.

Authors:  Tingting Chen; Cheng Wang; Hanqing Yu; Meng Ding; Cuiping Zhang; Xiaolan Lu; Chen-Yu Zhang; Chunni Zhang
Journal:  EBioMedicine       Date:  2018-11-19       Impact factor: 8.143

Review 5.  Approaches to urinary detection of prostate cancer.

Authors:  Jillian N Eskra; Daniel Rabizadeh; Christian P Pavlovich; William J Catalona; Jun Luo
Journal:  Prostate Cancer Prostatic Dis       Date:  2019-01-17       Impact factor: 5.554

6.  Urinary exosomal microRNAs in incipient diabetic nephropathy.

Authors:  Federica Barutta; Marinella Tricarico; Alessandro Corbelli; Laura Annaratone; Silvia Pinach; Serena Grimaldi; Graziella Bruno; Daniela Cimino; Daniela Taverna; Maria Chiara Deregibus; Maria Pia Rastaldi; Paolo Cavallo Perin; Gabriella Gruden
Journal:  PLoS One       Date:  2013-11-04       Impact factor: 3.240

7.  Potential role of ACE2-related microRNAs in COVID-19-associated nephropathy.

Authors:  Ahmedz Widiasta; Yunia Sribudiani; Husna Nugrahapraja; Dany Hilmanto; Nanan Sekarwana; Dedi Rachmadi
Journal:  Noncoding RNA Res       Date:  2020-09-09
  7 in total

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