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Biomarkers of cavernous angioma with symptomatic hemorrhage.

Publication ,  Journal Article
Lyne, SB; Girard, R; Koskimäki, J; Zeineddine, HA; Zhang, D; Cao, Y; Li, Y; Stadnik, A; Moore, T; Lightle, R; Shi, C; Shenkar, R; Polster, SP ...
Published in: JCI Insight
June 20, 2019

BACKGROUNDCerebral cavernous angiomas (CAs) with a symptomatic hemorrhage (CASH) have a high risk of recurrent hemorrhage and serious morbidity.METHODSEighteen plasma molecules with mechanistic roles in CA pathobiology were investigated in 114 patients and 12 healthy subjects. The diagnostic biomarker of a CASH in the prior year was derived as that minimizing the Akaike information criterion and validated using machine learning, and was compared with the prognostic CASH biomarker predicting bleeding in the subsequent year. Biomarkers were longitudinally followed in a subset of cases. The biomarkers were queried in the lesional neurovascular unit (NVU) transcriptome and in plasma miRNAs from CASH and non-CASH patients.RESULTSThe diagnostic CASH biomarker included a weighted combination of soluble CD14 (sCD14), VEGF, C-reactive protein (CRP), and IL-10 distinguishing CASH patients with 76% sensitivity and 80% specificity (P = 0.0003). The prognostic CASH biomarker (sCD14, VEGF, IL-1β, and sROBO-4) was confirmed to predict a bleed in the subsequent year with 83% sensitivity and 93% specificity (P = 0.001). Genes associated with diagnostic and prognostic CASH biomarkers were differentially expressed in CASH lesional NVUs. Thirteen plasma miRNAs were differentially expressed between CASH and non-CASH patients.CONCLUSIONShared and unique biomarkers of recent symptomatic hemorrhage and of future bleeding in CA are mechanistically linked to lesional transcriptome and miRNA. The biomarkers may be applied for risk stratification in clinical trials and developed as a tool in clinical practice.FUNDINGNIH, William and Judith Davis Fund in Neurovascular Surgery Research, Be Brave for Life Foundation, Safadi Translational Fellowship, Pritzker School of Medicine, and Sigrid Jusélius Foundation.

Duke Scholars

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Published In

JCI Insight

DOI

EISSN

2379-3708

Publication Date

June 20, 2019

Volume

4

Issue

12

Location

United States

Related Subject Headings

  • Transcriptome
  • Male
  • Machine Learning
  • Longitudinal Studies
  • Inflammation Mediators
  • Humans
  • Hemorrhage
  • Hemangioma, Cavernous
  • Female
  • Cohort Studies
 

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Lyne, S. B., Girard, R., Koskimäki, J., Zeineddine, H. A., Zhang, D., Cao, Y., … Awad, I. A. (2019). Biomarkers of cavernous angioma with symptomatic hemorrhage. JCI Insight, 4(12). https://doi.org/10.1172/jci.insight.128577
Lyne, Seán B., Romuald Girard, Janne Koskimäki, Hussein A. Zeineddine, Dongdong Zhang, Ying Cao, Yan Li, et al. “Biomarkers of cavernous angioma with symptomatic hemorrhage.JCI Insight 4, no. 12 (June 20, 2019). https://doi.org/10.1172/jci.insight.128577.
Lyne SB, Girard R, Koskimäki J, Zeineddine HA, Zhang D, Cao Y, et al. Biomarkers of cavernous angioma with symptomatic hemorrhage. JCI Insight. 2019 Jun 20;4(12).
Lyne, Seán B., et al. “Biomarkers of cavernous angioma with symptomatic hemorrhage.JCI Insight, vol. 4, no. 12, June 2019. Pubmed, doi:10.1172/jci.insight.128577.
Lyne SB, Girard R, Koskimäki J, Zeineddine HA, Zhang D, Cao Y, Li Y, Stadnik A, Moore T, Lightle R, Shi C, Shenkar R, Carrión-Penagos J, Polster SP, Romanos S, Akers A, Lopez-Ramirez M, Whitehead KJ, Kahn ML, Ginsberg MH, Marchuk DA, Awad IA. Biomarkers of cavernous angioma with symptomatic hemorrhage. JCI Insight. 2019 Jun 20;4(12).

Published In

JCI Insight

DOI

EISSN

2379-3708

Publication Date

June 20, 2019

Volume

4

Issue

12

Location

United States

Related Subject Headings

  • Transcriptome
  • Male
  • Machine Learning
  • Longitudinal Studies
  • Inflammation Mediators
  • Humans
  • Hemorrhage
  • Hemangioma, Cavernous
  • Female
  • Cohort Studies