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Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance

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Cover of 'Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to microRNAs: Biogenesis, Action, Relevance of Tissue microRNAs in Disease Pathogenesis, Diagnosis and Therapy-The Concept of Circulating microRNAs.
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    Chapter 2 Extracellular microRNAs in Membrane Vesicles and Non-vesicular Carriers
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    Chapter 3 Technical Aspects Related to the Analysis of Circulating microRNAs.
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    Chapter 4 Circulating Blood-Borne microRNAs as Biomarkers in Solid Tumors.
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    Chapter 5 Circulating microRNA as Biomarkers in Hematological Malignancies.
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    Chapter 6 Circulating microRNAs as Biomarkers in Cardiovascular Diseases.
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    Chapter 7 Circulating microRNAs in Neurodegenerative Diseases.
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    Chapter 8 Circulating Extracellular microRNA in Systemic Autoimmunity.
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    Chapter 9 Circulating microRNAs in Inflammatory Bowel Diseases.
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    Chapter 10 Circulating microRNAs in Diabetes Progression: Discovery, Validation, and Research Translation.
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    Chapter 11 Diagnostic Relevance of microRNAs in Other Body Fluids Including Urine, Feces, and Saliva.
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    Chapter 12 Circulating microRNAs as Hormones: Intercellular and Inter-organ Conveyors of Epigenetic Information?
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    Chapter 13 Are Circulating microRNAs Involved in Tumor Surveillance?
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    Chapter 14 Hypothetic Interindividual and Interspecies Relevance of microRNAs Released in Body Fluids.
Attention for Chapter 10: Circulating microRNAs in Diabetes Progression: Discovery, Validation, and Research Translation.
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Chapter title
Circulating microRNAs in Diabetes Progression: Discovery, Validation, and Research Translation.
Chapter number 10
Book title
Circulating microRNAs in Disease Diagnostics and their Potential Biological Relevance
Published in
EXS, January 2015
DOI 10.1007/978-3-0348-0955-9_10
Pubmed ID
Book ISBNs
978-3-03-480953-5, 978-3-03-480955-9
Authors

Farr, Ryan J, Joglekar, Mugdha V, Hardikar, Anandwardhan A, Ryan J. Farr, Mugdha V. Joglekar, Anandwardhan A. Hardikar

Abstract

Diabetes, in all of its forms, is a disease state that demonstrates wide ranging pathological effects throughout the body. Until now, the only method of diagnosing and monitoring the progression of diabetes was through the measurement of blood glucose. Unfortunately, beta cell dysfunction initiates well before the clinical onset of diabetes, and so the development of an effective biomarker signature is of paramount importance to predict and monitor the progression of this disease. MicroRNAs (miRNAs/miRs) are small (18-22 nucleotide) noncoding (nc)RNAs that post-transcriptionally regulate endogenous gene expression by targeted inhibition or degradation of messenger (m)RNA. Recently, miRNAs have shown great promise as biomarkers as some exhibit differential expression in multiple disease states, including type 1 and type 2 diabetes (T1D/T2D). Furthermore, miRNAs are quite stable in circulation, resistant to freeze-thaw and pH-mediated degradation, and are relatively easy to detect using quantitative (q)PCR. Here, we discuss microRNAs that may form a diabetes biomarker signature. To identify these transcripts we outline miRNAs that play a central role in pancreas development and diabetes, as well as previously identified miRNAs with differential expression in individuals with T1D and T2D. Validation and refinement of a miRNA biomarker signature for diabetes would allow identification and intervention of individuals at risk of this disease, as well as stratification and monitoring of patients with established diabetes.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Researcher 3 12%
Student > Bachelor 2 8%
Other 2 8%
Student > Postgraduate 2 8%
Other 5 19%
Unknown 6 23%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 46%
Medicine and Dentistry 3 12%
Agricultural and Biological Sciences 2 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Unspecified 1 4%
Other 1 4%
Unknown 6 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 November 2015.
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#20,297,343
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Outputs from EXS
#83
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Outputs of similar age
#295,908
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Outputs of similar age from EXS
#11
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