IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v451y2008i7181d10.1038_nature06796.html
   My bibliography  Save this article

Translating molecular discoveries into new therapies for atherosclerosis

Author

Listed:
  • Daniel J. Rader

    (Cardiovascular Institute and Institute for Translational Medicine and Therapeutics, University of Pennsylvania School of Medicine)

  • Alan Daugherty

    (Cardiovascular Research Center and Gill Heart Institute, University of Kentucky)

Abstract

Atherosclerosis is characterized by the thickening of the arterial wall and is the primary cause of coronary artery disease and cerebrovascular disease, two of the most common causes of illness and death worldwide. Clinical trials have confirmed that certain lipoproteins and the renin–angiotensin–aldosterone system are important in the pathogenesis of atherosclerotic cardiovascular disease, and that interventions targeted towards these are beneficial. Furthermore, efforts to understand how risk factors such as high blood pressure, dysregulated blood lipids and diabetes contribute to atherosclerotic disease, as well as to understand the molecular pathogenesis of atherosclerotic plaques, are leading to new targets for therapy.

Suggested Citation

  • Daniel J. Rader & Alan Daugherty, 2008. "Translating molecular discoveries into new therapies for atherosclerosis," Nature, Nature, vol. 451(7181), pages 904-913, February.
    • Handle: RePEc:nat:nature:v:451:y:2008:i:7181:d:10.1038_nature06796
    DOI: 10.1038/nature06796
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature06796
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1038/nature06796?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yusuke Adachi & Kazutaka Ueda & Seitaro Nomura & Kaoru Ito & Manami Katoh & Mikako Katagiri & Shintaro Yamada & Masaki Hashimoto & Bowen Zhai & Genri Numata & Akira Otani & Munetoshi Hinata & Yuta Hir, 2022. "Beiging of perivascular adipose tissue regulates its inflammation and vascular remodeling," Nature Communications, Nature, vol. 13(1), pages 1-14, December.

    More about this item

    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:nat:nature:v:451:y:2008:i:7181:d:10.1038_nature06796. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    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.