IDEAS home Printed from https://ideas.repec.org/a/abf/journl/v49y2023i2p40558-40566.html

Diagnostic Potential of Micro RNA Panel for Coronary Artery Disease in Patients with Angina

Author

Listed:
  • Dilshad Ahmed Khan

    (Armed Forces Institute of Pathology, National University of Medical Sciences, Pakistan)

Abstract

Diagnosis of the coronary artery disease (CAD) in patients with angina is a challenge in clinical settings without invasive coronary angiography. Our objective was to find out non-invasive molecular diagnosis by relative expression of micro-RNA (miRNA) panel for CAD in the patients with angina.

Suggested Citation

  • Dilshad Ahmed Khan, 2023. "Diagnostic Potential of Micro RNA Panel for Coronary Artery Disease in Patients with Angina," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 49(2), pages 40558-40566, March.
  • Handle: RePEc:abf:journl:v:49:y:2023:i:2:p:40558-40566
    DOI: 10.26717/BJSTR.2023.49.007787
    as

    Download full text from publisher

    File URL: https://biomedres.us/pdfs/BJSTR.MS.ID.007787.pdf
    Download Restriction: no

    File URL: https://biomedres.us/fulltexts/BJSTR.MS.ID.007787.php
    Download Restriction: no

    File URL: https://libkey.io/10.26717/BJSTR.2023.49.007787?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yuri D'Alessandra & Maria Cristina Carena & Liana Spazzafumo & Federico Martinelli & Beatrice Bassetti & Paolo Devanna & Mara Rubino & Giancarlo Marenzi & Gualtiero I Colombo & Felice Achilli & Stefan, 2013. "Diagnostic Potential of Plasmatic MicroRNA Signatures in Stable and Unstable Angina," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-1, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Agnė Šatrauskienė & Rokas Navickas & Aleksandras Laucevičius & Tomas Krilavičius & Rūta Užupytė & Monika Zdanytė & Ligita Ryliškytė & Agnė Jucevičienė & Paul Holvoet, 2021. "Mir-1, miR-122, miR-132, and miR-133 Are Related to Subclinical Aortic Atherosclerosis Associated with Metabolic Syndrome," IJERPH, MDPI, vol. 18(4), pages 1-14, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:abf:journl:v:49:y:2023:i:2:p:40558-40566. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Angela Roy (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.