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microRNA: Medical Evidence

Overview of attention for book
Attention for Chapter 13: microRNAs in Diabetic Kidney Disease.
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Chapter title
microRNAs in Diabetic Kidney Disease.
Chapter number 13
Book title
microRNA: Medical Evidence
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-3-319-22671-2_13
Pubmed ID
Book ISBNs
978-3-31-922670-5, 978-3-31-922671-2
Authors

Arthur C. K. Chung Ph.D., Arthur C. K. Chung

Editors

Gaetano Santulli

Abstract

Diabetes and diabetic kidney diseases have continually exerted a great burden on our society. Although the recent advances in medical research have led to a much better understanding of diabetic kidney diseases, there is still no successful strategy for effective treatments for diabetic kidney diseases. Recently, treatment of diabetic kidney diseases relies either on drugs that reduce the progression of renal injury or on renal replacement therapies, such as dialysis and kidney transplantation. On the other hand, searching for biomarkers for early diagnosis and effective therapy is also urgent. Discovery of microRNAs has opened to a novel field for posttranscriptional regulation of gene expression. Results from cell culture experiments, experimental animal models, and patients under diabetic conditions reveal the critical role of microRNAs during the progression of diabetic kidney diseases. Functional studies demonstrate not only the capability of microRNAs to regulate expression of target genes, but also their therapeutic potential to diabetic kidney diseases. The existence of microRNAs in plasma, serum, and urine suggests their possibility to be biomarkers in diabetic kidney diseases. Thus, identification of the functional role of microRNAs provides an essentially clinical impact in terms of prevention and treatment of progression in diabetic kidney diseases as it enables us to develop novel, specific therapies and diagnostic tools for diabetic kidney diseases.

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Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 19%
Researcher 7 19%
Student > Ph. D. Student 4 11%
Student > Bachelor 3 8%
Lecturer 2 6%
Other 4 11%
Unknown 9 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 25%
Medicine and Dentistry 9 25%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Agricultural and Biological Sciences 2 6%
Veterinary Science and Veterinary Medicine 1 3%
Other 2 6%
Unknown 11 31%