PlumX Metrics
Embed PlumX Metrics

An IL-18-centered inflammatory network as a biomarker for cerebral white matter injury

PLoS ONE, ISSN: 1932-6203, Vol: 15, Issue: 1, Page: e0227835
2020
  • 44
    Citations
  • 0
    Usage
  • 63
    Captures
  • 6
    Mentions
  • 10
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    44
  • Captures
    63
  • Mentions
    6
    • News Mentions
      5
      • 5
    • Blog Mentions
      1
      • Blog
        1
  • Social Media
    10
    • Shares, Likes & Comments
      10
      • Facebook
        10

Most Recent News

Could a simple blood test predict stroke risk, vascular issues in the…

Share on PinterestA simple blood test may be able to pick up on tell-tale signs of vascular problems in the brain, predicting stroke risk. Image

Article Description

Chronic systemic sterile inflammation is implicated in the pathogenesis of cerebrovascular disease and white matter injury. Non-invasive blood markers for risk stratification and dissection of inflammatory molecular substrates in vivo are lacking. We sought to identify whether an interconnected network of inflammatory biomarkers centered on IL-18 and all previously associated with white matter lesions could detect overt and antecedent white matter changes in two populations at risk for cerebral small vessel disease. In a cohort of 167 older adults (mean age: 76, SD 7.1, 83 females) that completed a cognitive battery, physical examination, and blood draw in parallel with MR imaging including DTI, we measured cerebral white matter hyperintensities (WMH) and free water (FW). Concurrently, serum levels of a biologic network of inflammation molecules including MPO, GDF-15, RAGE, ST2, IL-18, and MCP-1 were measured. The ability of a log-transformed population mean-adjusted inflammatory composite score (ICS) to associate with MR variables was demonstrated in an age and total intracranial volume adjusted model. In this cohort, ICS was significantly associated with WMH (β = 0.222, p = 0.013), FW (β = 0.3, p = 0.01), and with the number of vascular risk factor diagnoses (r = 0.36, p<0.001). In a second cohort of 131 subjects presenting for the evaluation of acute neurologic deficits concerning for stroke, we used serum levels of 11 inflammatory biomarkers in an unbiased principal component analysis which identified a single factor significantly associated with WMH. This single factor was strongly correlated with the six component ICS identified in the first cohort and was associated with WMH in a generalized linear regression model adjusted for age and gender (p = 0.027) but not acute stroke. A network of inflammatory molecules driven by IL-18 is associated with overt and antecedent white matter injury resulting from cerebrovascular disease and may be a promising peripheral biomarker for vascular white matter injury.

Bibliographic Details

http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85078299513&origin=inward; http://dx.doi.org/10.1371/journal.pone.0227835; http://www.ncbi.nlm.nih.gov/pubmed/31978079; https://dx.plos.org/10.1371/journal.pone.0227835.g006; http://dx.doi.org/10.1371/journal.pone.0227835.g006; https://dx.plos.org/10.1371/journal.pone.0227835.t002; http://dx.doi.org/10.1371/journal.pone.0227835.t002; https://dx.plos.org/10.1371/journal.pone.0227835.g004; http://dx.doi.org/10.1371/journal.pone.0227835.g004; https://dx.plos.org/10.1371/journal.pone.0227835.g003; http://dx.doi.org/10.1371/journal.pone.0227835.g003; https://dx.plos.org/10.1371/journal.pone.0227835; https://dx.plos.org/10.1371/journal.pone.0227835.t003; http://dx.doi.org/10.1371/journal.pone.0227835.t003; https://dx.plos.org/10.1371/journal.pone.0227835.g005; http://dx.doi.org/10.1371/journal.pone.0227835.g005; https://dx.plos.org/10.1371/journal.pone.0227835.t001; http://dx.doi.org/10.1371/journal.pone.0227835.t001; https://dx.plos.org/10.1371/journal.pone.0227835.g002; http://dx.doi.org/10.1371/journal.pone.0227835.g002; https://dx.plos.org/10.1371/journal.pone.0227835.g001; http://dx.doi.org/10.1371/journal.pone.0227835.g001; https://dx.doi.org/10.1371/journal.pone.0227835; https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0227835; https://dx.doi.org/10.1371/journal.pone.0227835.g005; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.g005; https://dx.doi.org/10.1371/journal.pone.0227835.t003; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.t003; https://dx.doi.org/10.1371/journal.pone.0227835.g002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.g002; https://dx.doi.org/10.1371/journal.pone.0227835.g003; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.g003; https://dx.doi.org/10.1371/journal.pone.0227835.t001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.t001; https://dx.doi.org/10.1371/journal.pone.0227835.t002; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.t002; https://dx.doi.org/10.1371/journal.pone.0227835.g006; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.g006; https://dx.doi.org/10.1371/journal.pone.0227835.g001; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.g001; https://dx.doi.org/10.1371/journal.pone.0227835.g004; https://journals.plos.org/plosone/article/figure?id=10.1371/journal.pone.0227835.g004; https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0227835&type=printable

Marie Altendahl; Pauline Maillard; Danielle Harvey; Devyn Cotter; Samantha Walters; Amy Wolf; Baljeet Singh; Visesha Kakarla; Ida Azizkhanian; Sunil A. Sheth; Guanxi Xiao; Emily Fox; Michelle You; Mei Leng; David Elashoff; Joel H. Kramer; Charlie Decarli; Fanny Elahi; Jason D. Hinman; Niels Bergsland

Public Library of Science (PLoS)

Multidisciplinary

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know