Literature DB >> 30610670

Upregulation of Circulating Cardiomyocyte-Enriched miR-1 and miR-133 Associate with the Risk of Coronary Artery Disease in Type 2 Diabetes Patients and Serve as Potential Biomarkers.

Haifa Abdulla Al-Muhtaresh1, Abdel Halim Salem2, Ghada Al-Kafaji3.   

Abstract

Circulating miRNAs are increasingly suggested as clinical biomarker for diseases. We evaluated the expression of circulating cardiomyocyte-enriched miR-1 and miR-133 by real-time PCR in blood from patients with type 2 diabetes (T2D) without and with coronary artery disease (CAD) and healthy controls, investigated their association with the risk of CAD risk and their potential as biomarkers. The two miRNAs were upregulated in patients with T2D and CAD compared with controls, associated with CAD risk and remained significant after adjustment for multiple confounders. LDL-C was a positive predictor for miR-1 and miR-133, and mean blood pressure was also a positive predictor for miR-133. Both miRNAs strongly distinguished CAD from controls. miR-1 significantly distinguished CAD from T2D with higher diagnostic ability than miR-133, whereas the miR-1/miR-133 combination improved the diagnostic value. Upregulation of circulating miR-1 and miR-133 associate with the risk of CAD in T2D patients and may serve as diagnostic biomarkers.

Entities:  

Keywords:  Biomarkers; Circulating miRNAs; Coronary artery disease; Type 2 diabetes

Mesh:

Substances:

Year:  2019        PMID: 30610670     DOI: 10.1007/s12265-018-9857-2

Source DB:  PubMed          Journal:  J Cardiovasc Transl Res        ISSN: 1937-5387            Impact factor:   4.132


  59 in total

Review 1.  Assessment of cardiovascular risk by use of multiple-risk-factor assessment equations: a statement for healthcare professionals from the American Heart Association and the American College of Cardiology.

Authors:  S M Grundy; R Pasternak; P Greenland; S Smith; V Fuster
Journal:  Circulation       Date:  1999-09-28       Impact factor: 29.690

Review 2.  Sample size determination. Influencing factors and calculation strategies for survey research.

Authors:  Ali A Al-Subaihi
Journal:  Saudi Med J       Date:  2003-04       Impact factor: 1.484

Review 3.  MicroRNAs: genomics, biogenesis, mechanism, and function.

Authors:  David P Bartel
Journal:  Cell       Date:  2004-01-23       Impact factor: 41.582

Review 4.  MicroRNAs: small RNAs with a big role in gene regulation.

Authors:  Lin He; Gregory J Hannon
Journal:  Nat Rev Genet       Date:  2004-07       Impact factor: 53.242

5.  Serum response factor regulates a muscle-specific microRNA that targets Hand2 during cardiogenesis.

Authors:  Yong Zhao; Eva Samal; Deepak Srivastava
Journal:  Nature       Date:  2005-07-14       Impact factor: 49.962

Review 6.  Hypertension and coronary heart disease.

Authors:  E Escobar
Journal:  J Hum Hypertens       Date:  2002-03       Impact factor: 3.012

7.  LDL cholesterol as a strong predictor of coronary heart disease in diabetic individuals with insulin resistance and low LDL: The Strong Heart Study.

Authors:  B V Howard; D C Robbins; M L Sievers; E T Lee; D Rhoades; R B Devereux; L D Cowan; R S Gray; T K Welty; O T Go; W J Howard
Journal:  Arterioscler Thromb Vasc Biol       Date:  2000-03       Impact factor: 8.311

8.  Non-high-density lipoprotein cholesterol level as a predictor of cardiovascular disease mortality.

Authors:  Y Cui; R S Blumenthal; J A Flaws; M K Whiteman; P Langenberg; P S Bachorik; T L Bush
Journal:  Arch Intern Med       Date:  2001-06-11

9.  Global prevalence of diabetes: estimates for the year 2000 and projections for 2030.

Authors:  Sarah Wild; Gojka Roglic; Anders Green; Richard Sicree; Hilary King
Journal:  Diabetes Care       Date:  2004-05       Impact factor: 19.112

10.  Non-HDL cholesterol as a predictor of cardiovascular disease in type 2 diabetes: the strong heart study.

Authors:  Weiquan Lu; Helaine E Resnick; Kathleen A Jablonski; Kristina L Jones; Arvind K Jain; Wm James Howard; David C Robbins; Barbara V Howard
Journal:  Diabetes Care       Date:  2003-01       Impact factor: 19.112

View more
  6 in total

1.  Expression and clinical significance of miR-1 and miR-133 in pre-diabetes.

Authors:  Ghada Al-Kafaji; Haifa Abdulla Al-Muhtaresh; Abdel Halim Salem
Journal:  Biomed Rep       Date:  2021-02-03

Review 2.  Regulation of microRNAs in Alzheimer´s disease, type 2 diabetes, and aerobic exercise training.

Authors:  Ricardo Augusto Leoni De Sousa; Alex Cleber Improta-Caria
Journal:  Metab Brain Dis       Date:  2022-01-25       Impact factor: 3.584

Review 3.  Circulating miRNA as potential biomarkers for diabetes mellitus type 2: should we focus on searching for sex differences?

Authors:  Weronika Kraczkowska; Lucyna Stachowiak; Andrzej Pławski; Paweł Piotr Jagodziński
Journal:  J Appl Genet       Date:  2022-01-05       Impact factor: 3.240

4.  Plasma Exosomal S1PR5 and CARNS1 as Potential Non-invasive Screening Biomarkers of Coronary Heart Disease.

Authors:  Feng Xiong; Rui Mao; Ruohan Zhao; Lijuan Zhang; Kunyue Tan; Chunxia Liu; Shuzhen Wang; Min Xu; Yi Li; Tongtong Zhang
Journal:  Front Cardiovasc Med       Date:  2022-06-28

Review 5.  MicroRNAs as biomarkers for monitoring cardiovascular changes in Type II Diabetes Mellitus (T2DM) and exercise.

Authors:  Volga M Saini; Kaitlyn R Liu; Aishwarya Suryakant Surve; Sanjeev Gupta; Ananya Gupta
Journal:  J Diabetes Metab Disord       Date:  2022-07-07

Review 6.  Circulating microRNA as a Biomarker for Coronary Artery Disease.

Authors:  Ibrahim T Fazmin; Zakaria Achercouk; Charlotte E Edling; Asri Said; Kamalan Jeevaratnam
Journal:  Biomolecules       Date:  2020-09-23
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.