Noncoding RNAs in Calcific Aortic Valve Disease: A Review of Recent Studies

Wen-Juan Ni1, Ying-Zhong Wu2, Dong-Hong Ma3

  • 1Henan Key Laboratory of Neural Regeneration, Department of Neurology, The First Affiliated Hospital of XinXiang Medical University, XinXiang, P. R. China.

Insights

Noncoding RNAs, including microRNAs and long noncoding RNAs, play significant roles in calcific aortic valve disease (CAVD). Understanding these roles is crucial for developing new prevention and treatment strategies for this common heart valve disorder.

Area of Science:

  • Cardiovascular Research
  • Molecular Biology
  • Genetics

Background:

  • Calcific aortic valve disease (CAVD) is the most prevalent heart valve disorder globally.
  • Current therapeutic options for CAVD are limited, highlighting the need for better understanding of its underlying mechanisms.
  • Gene expression regulation is vital for maintaining cardiovascular tissue health, and its dysregulation contributes to disease pathology.

Purpose of the Study:

  • To summarize the current knowledge on the involvement of noncoding RNAs in CAVD.
  • To highlight the roles of microRNAs and long noncoding RNAs in the pathogenesis and progression of CAVD.
  • To provide a guide for future research strategies and identify potential biomarkers for CAVD.

Main Methods:

  • Literature review and synthesis of existing research on noncoding RNAs and CAVD.
  • Analysis of the contribution of various noncoding RNA classes to CAVD.
  • Identification of key regulatory mechanisms involving noncoding RNAs in cardiovascular tissues.

Main Results:

  • Noncoding RNAs, such as microRNAs and long noncoding RNAs, are increasingly recognized for their significant roles in CAVD.
  • These regulatory elements are implicated in both the onset and prognosis of calcific aortic valve disease.
  • Evidence suggests noncoding RNAs are critical players in the pathological mechanisms driving CAVD.

Conclusions:

  • Noncoding RNAs represent a key area of focus for understanding and potentially treating CAVD.
  • Further research into noncoding RNA functions in CAVD could lead to novel therapeutic targets.
  • This review provides a foundation for identifying new CAVD biomarkers and advancing research strategies.

Related Concept Videos

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
10.0K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

3.7K
siRNA - Small Interfering RNAs02:30

siRNA - Small Interfering RNAs

Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...
18.7K
piRNA - Piwi-interacting RNAs02:57

piRNA - Piwi-interacting RNAs

PIWI-interacting RNAs, or piRNAs, are the most abundant short non-coding RNAs. More than 20,000 genes have been found in humans that code for piRNAs while only 2000 genes have been found for miRNAs. piRNAs can act at the transcriptional and post-transcriptional levels and have a vital role in silencing transposable elements present in germ cells. They are also involved in epigenetic silencing and activation. Previously, they were thought to function only in germ cells but new evidence suggests...
7.7K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K