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Relationship of cardiovascular disease risk factors and noncoding RNAs with hypertension: a case-control study

Overview of attention for article published in BMC Cardiovascular Disorders, April 2018
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Title
Relationship of cardiovascular disease risk factors and noncoding RNAs with hypertension: a case-control study
Published in
BMC Cardiovascular Disorders, April 2018
DOI 10.1186/s12872-018-0795-3
Pubmed ID
Authors

Shiying Chen, Rong Chen, Tingxing Zhang, Shaowei Lin, Zhou Chen, Bi Zhao, Huangyuan Li, Siying Wu

Abstract

The present study sought to explore the relationship of common cardiovascular disease risk factors and noncoding RNAs with essential hypertension (EH). A total of 402 EH patients and 402 gender- and age-frequency matched healthy controls were enrolled in this study. Each participant received a questionnaire survey, physical examination and laboratory tests. Quantitative real-time polymerase chain reaction (qPCR) was performed to assess relative expression levels of six noncoding RNAs (NR_027032, NR_034083, NR_104181, miR-126, miR-143 and miR-145) in peripheral blood leucocytes. Multiple logistic regression analysis was used to estimate the risk of having EH between hypertensive and non-hypertensive patients. Analysis showed that participants with anxiety, high body mass index, abdominal obesity and family history of hypertension had higher risk for EH, whereas those with bland diet and occupational physical activities had lower risk for EH. qPCR assays showed that NR_027032 (P = 0.015) and NR_034083 (P = 0.004) were significantly reduced in EH patients compared with controls, whereas NR_104181 (P = 0.007), miR-143 (P = 0.005) and miR-145 (P = 0.015) were significantly elevated. After controlling the cardiovascular risk factors, multivariate analysis showed that lower expression levels of NR_034083 and higher expression levels of NR_104181 and miR-143 were risk factors for EH. EH is a result of environmental and epigenetic factors. Strikingly, NR_034083, NR_104181 and miR-143 may be correlated with the risk for EH development; therefore, epigenetic markers could be used to measure hypertension levels to help elucidate the pathogenesis of EH.

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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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 76 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 12%
Student > Master 7 9%
Researcher 7 9%
Student > Ph. D. Student 6 8%
Student > Doctoral Student 4 5%
Other 10 13%
Unknown 33 43%
Readers by discipline Count As %
Nursing and Health Professions 13 17%
Biochemistry, Genetics and Molecular Biology 8 11%
Medicine and Dentistry 5 7%
Social Sciences 3 4%
Agricultural and Biological Sciences 2 3%
Other 9 12%
Unknown 36 47%
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 05 April 2018.
All research outputs
#14,846,333
of 23,035,022 outputs
Outputs from BMC Cardiovascular Disorders
#742
of 1,637 outputs
Outputs of similar age
#196,505
of 328,961 outputs
Outputs of similar age from BMC Cardiovascular Disorders
#17
of 28 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,637 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 53% of its peers.
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 328,961 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.