IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0064971.html
   My bibliography  Save this article

Inflammatory Proteins in Plasma Are Associated with Severity of Alzheimer’s Disease

Author

Listed:
  • Rufina Leung
  • Petroula Proitsi
  • Andrew Simmons
  • Katie Lunnon
  • Andreas Güntert
  • Deborah Kronenberg
  • Megan Pritchard
  • Magda Tsolaki
  • Patrizia Mecocci
  • Iwona Kloszewska
  • Bruno Vellas
  • Hilkka Soininen
  • Lars-Olaf Wahlund
  • Simon Lovestone

Abstract

Markers of Alzheimer’s disease (AD) are being widely sought with a number of studies suggesting blood measures of inflammatory proteins as putative biomarkers. Here we report findings from a panel of 27 cytokines and related proteins in over 350 subjects with AD, subjects with Mild Cognitive Impairment (MCI) and elderly normal controls where we also have measures of longitudinal change in cognition and baseline neuroimaging measures of atrophy. In this study, we identify five inflammatory proteins associated with evidence of atrophy on MR imaging data particularly in whole brain, ventricular and entorhinal cortex measures. In addition, we observed six analytes that showed significant change (over a period of one year) in people with fast cognitive decline compared to those with intermediate and slow decline. One of these (IL-10) was also associated with brain atrophy in AD. In conclusion, IL-10 was associated with both clinical and imaging evidence of severity of disease and might therefore have potential to act as biomarker of disease progression.

Suggested Citation

  • Rufina Leung & Petroula Proitsi & Andrew Simmons & Katie Lunnon & Andreas Güntert & Deborah Kronenberg & Megan Pritchard & Magda Tsolaki & Patrizia Mecocci & Iwona Kloszewska & Bruno Vellas & Hilkka S, 2013. "Inflammatory Proteins in Plasma Are Associated with Severity of Alzheimer’s Disease," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-10, June.
    • Handle: RePEc:plo:pone00:0064971
    DOI: 10.1371/journal.pone.0064971
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0064971
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0064971&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0064971?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. Martín Gómez Ravetti & Pablo Moscato, 2008. "Identification of a 5-Protein Biomarker Molecular Signature for Predicting Alzheimer's Disease," PLOS ONE, Public Library of Science, vol. 3(9), pages 1-12, September.
    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. Assif Assad & Kusum Deep, 2018. "A heuristic based harmony search algorithm for maximum clique problem," OPSEARCH, Springer;Operational Research Society of India, vol. 55(2), pages 411-433, June.
    2. Lei Chen & Jing Lu & Jian Zhang & Kai-Rui Feng & Ming-Yue Zheng & Yu-Dong Cai, 2013. "Predicting Chemical Toxicity Effects Based on Chemical-Chemical Interactions," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-9, February.
    3. Nisha Puthiyedth & Carlos Riveros & Regina Berretta & Pablo Moscato, 2016. "Identification of Differentially Expressed Genes through Integrated Study of Alzheimer’s Disease Affected Brain Regions," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-29, April.

    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:plo:pone00:0064971. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.