| Title |
MicroRNAs: New Therapeutic Targets for Familial Hypercholesterolemia?
|
|---|---|
| Published in |
Clinical Reviews in Allergy & Immunology, May 2017
|
| DOI | 10.1007/s12016-017-8611-x |
| Pubmed ID | |
| Authors |
Amir Abbas Momtazi, Maciej Banach, Matteo Pirro, Evan A. Stein, Amirhossein Sahebkar |
| Abstract |
Familial hypercholesterolemia (FH) is the most common inherited form of dyslipidemia and a major cause of premature cardiovascular disease. Management of FH mainly relies on the efficiency of treatments that reduce plasma low-density lipoprotein (LDL) cholesterol (LDL-C) concentrations. MicroRNAs (miRs) have been suggested as emerging regulators of plasma LDL-C concentrations. Notably, there is evidence showing that miRs can regulate the post-transcriptional expression of genes involved in the pathogenesis of FH, including LDLR, APOB, PCSK9, and LDLRAP1. In addition, many miRs are located in genomic loci associated with abnormal levels of circulating lipids and lipoproteins in human plasma. The strong regulatory effects of miRs on the expression of FH-associated genes support of the notion that manipulation of miRs might serve as a potential novel therapeutic approach. The present review describes miRs-targeting FH-associated genes that could be used as potential therapeutic targets in patients with FH or other severe dyslipidemias. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Unknown | 67 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 15% |
| Student > Bachelor | 9 | 13% |
| Researcher | 8 | 12% |
| Student > Ph. D. Student | 8 | 12% |
| Other | 5 | 7% |
| Other | 10 | 15% |
| Unknown | 18 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 21% |
| Biochemistry, Genetics and Molecular Biology | 10 | 15% |
| Agricultural and Biological Sciences | 6 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 7% |
| Nursing and Health Professions | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 24 | 35% |
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 25 May 2017.
All research outputs
#18,810,041
of 23,975,976 outputs
Outputs from Clinical Reviews in Allergy & Immunology
#566
of 690 outputs
Outputs of similar age
#228,885
of 316,836 outputs
Outputs of similar age from Clinical Reviews in Allergy & Immunology
#12
of 16 outputs
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.