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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 7: Circulating microRNAs in Neurodegenerative Diseases.
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Chapter title
Circulating microRNAs in Neurodegenerative Diseases.
Chapter number 7
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_7
Pubmed ID
Book ISBNs
978-3-03-480953-5, 978-3-03-480955-9
Authors

Grasso, Margherita, Piscopo, Paola, Crestini, Alessio, Confaloni, Annamaria, Denti, Michela A, Margherita Grasso, Paola Piscopo, Alessio Crestini, Annamaria Confaloni, Michela A. Denti

Abstract

Neurodegenerative diseases, such as Alzheimer's disease (AD), Parkinson's disease (PD), and amyotrophic lateral sclerosis (ALS), are caused by a combination of events that impair normal neuronal function. Although they are considered different disorders, there are overlapping features among them from the clinical, pathological, and genetic points of view. Synaptic dysfunction and loss, neurite retraction, and the appearance of other abnormalities such as axonal transport defects normally precede the neuronal loss that is a relatively late event. The diagnosis of many neurodegenerative diseases is mainly based on patient's cognitive function analysis, and the development of diagnostic methods is complicated by the brain's capacity to compensate for neuronal loss over a long period of time. This results in the late clinical manifestation of symptoms, a time when successful treatment is no longer feasible. Thus, a noninvasive diagnostic method based on early events detection is particularly important. In the last years, some biomarkers expressed in human body fluids have been proposed. microRNAs (miRNAs), with their high stability, tissue- or cell type-specific expression, lower cost, and shorter time in the assay development, could constitute a good tool to obtain an early disease diagnosis for a wide number of human pathologies, including neurodegenerative diseases. The possibilities and challenges of using these small RNA molecules as a signature for neurodegenerative disorders is a highly promising approach for developing minimally invasive screening tests and to identify new therapeutic targets.

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X Demographics

The data shown below were collected from the profiles of 3 X users 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 20%
Researcher 6 15%
Student > Ph. D. Student 4 10%
Student > Master 3 8%
Professor > Associate Professor 2 5%
Other 6 15%
Unknown 11 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 15%
Agricultural and Biological Sciences 6 15%
Neuroscience 5 13%
Medicine and Dentistry 5 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Other 3 8%
Unknown 12 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 22 January 2018.
All research outputs
#13,960,063
of 22,834,308 outputs
Outputs from EXS
#49
of 94 outputs
Outputs of similar age
#181,409
of 353,194 outputs
Outputs of similar age from EXS
#1
of 14 outputs
Altmetric has tracked 22,834,308 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 94 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 46th percentile – i.e., 46% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 353,194 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.