Evidence map›Paper›PMID 30099039›Full record

ArticleBrain research2018

Identification of novel blood biomarker panels to detect ischemic stroke in patients and their responsiveness to therapeutic intervention.

Catherine J Augello, Jessica M Noll, Timothy J Distel, Jolita D Wainright, Charles E Stout, Byron D Ford

Open access · greenAbstract read
In one paragraph

Article in Brain research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Longitudinal plasma interleukin-6 and post-stroke cognitive outcomes: The Stroke-IMPaCT study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Article
  6. mPR-Specific Actions Influence Maintenance of the Blood-Brain Barrier (BBB).International journal of molecular sciences · 2022
    Article
  7. Observational
  8. Review
  9. Review
  10. Review
  11. Personalized medicine-concepts, technologies, and applications in inflammatory skin diseases.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Catherine J AugelloUniversity of California - Riverside School of Medicine, Riverside, CA, United States.
Jessica M NollUniversity of California - Riverside School of Medicine, Riverside, CA, United States.
Timothy J DistelUniversity of California - Riverside School of Medicine, Riverside, CA, United States.
Jolita D WainrightClinical Research Center, Morehouse School of Medicine, Atlanta, GA, United States.
Charles E StoutUniversity of California - Riverside School of Medicine, Riverside, CA, United States; Riverside Community Hospital, Riverside, CA, United States.
Byron D FordUniversity of California - Riverside School of Medicine, Riverside, CA, United States. Electronic address: byron.ford@medsch.ucr.edu.
University of California, Riverside · USMorehouse School of Medicine · USRiverside Community Hospital · US

Funding

Morehouse School of Medicine Center of Excellence Research Endowment ProgramS21MD000101 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI MONTGOMERY-RICE, VALERIE C. · 2001 to 2015
$74.3M
TRANSCRIPTION FACTORS AND PROSTATE CANCERG12RR003034 · NCRR · MOREHOUSE SCHOOL OF MEDICINE · PI LIU, DONG · 1986 to 2011
$32.4M
Research Desogn and Biostatistics CoreU54MD007588 · NIMHD · MOREHOUSE SCHOOL OF MEDICINE · PI MONTGOMERY-RICE, VALERIE C. · 2012 to 2018
$24.8M
WARCEFU54RR026137 · NCRR · MOREHOUSE SCHOOL OF MEDICINE · PI CONERLY HOLLIDAY, RHONDA C · 2009 to 2011
$14.6M
Training and knowledge transferU54NS060659 · NINDS · MOREHOUSE SCHOOL OF MEDICINE · PI FORD, BYRON D. · 2008 to 2012
$6.9M
Riverside Bridges to the Baccalaureate Program (Riverside B2B)R25GM119975 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI FORD, BYRON D., ISAAC, WOLDE-AB · 2017 to 2021
$817k
PROTECTIVE ROLE OF NEUREGULIN-1 AGAINST CEREBRAL MALARIA PATHOGENESIS AND MORTALITYR56NS091616 · NINDS · MOREHOUSE SCHOOL OF MEDICINE · PI FORD, BYRON D., STILES, JONATHAN K. · 2015 to 2015
$354k
NCRR NIH HHS G12 RR003034NCRR NIH HHS U54 RR026137NIGMS NIH HHS R25 GM119975NIMHD NIH HHS S21 MD000101NIMHD NIH HHS U54 MD007588NINDS NIH HHS R56 NS091616NINDS NIH HHS U54 NS060659
6 · The paper itself

Abstract

The use of blood biomarkers for stroke has been long considered an excellent method to determine the occurrence, timing, subtype, and severity of stroke. In this study, venous blood was obtained from ischemic stroke patients after stroke onset and compared with age and sex-matched controls. We used a multiplex panel of 37 inflammatory molecules, analyzed using Luminex MagPix technology, to identify the changes in plasma proteins after ischemic stroke. We identified eight key molecules that were altered within the blood of stroke patients as compared to controls. Plasma levels of interleukin 6 signal transducer (sIL-6Rβ/gp130), matrix metalloproteinase-2 (MMP-2), osteopontin, sTNF-R1 and sTNF-R2 were significantly higher in stroke patients compared to controls. Interferon-β, interleukin-28, and thymic stromal lymphopoietin (TSLP) were decreased in plasma from stroke patients. No other immunological markers were significantly different between patient groups. When stroke patients were treated with tissue plasminogen activator (t-PA), plasma levels of interferon-α2 significantly increased while interleukin-2 and pentraxin-3 decreased. The discriminatory power of the molecules was evaluated by receiver operating characteristic (ROC) analysis. According to ROC analysis, the best markers for distinguishing stroke occurrence were MMP-2 (AUC = 0.76, sensitivity 62.5%, specificity 88.5%), sTNF-R2 (AUC = 0.75, sensitivity 83.3%, specificity 65.3%) and TSLP (AUC = 0.81, sensitivity 66.7%, specificity 96.2%). Multivariate logistic regression, used to evaluate the combination of proteins, identified a biomarker panel with high specificity and sensitivity (AUC = 0.96, sensitivity 87.5%, specificity 96.2%). These results indicate a novel set of blood biomarkers that could be used in a panel to identify stroke patients and their responsiveness to therapeutic intervention.

Indexed as

AgedBiomarkersBiomarkers, PharmacologicalBlood ProteinsBrain IschemiaCytokine Receptor gp130FemaleHumansMaleMatrix Metalloproteinase 2Middle AgedOsteopontinRisk FactorsROC CurveStrokeTissue Plasminogen ActivatorBiomarkersBiomarkers, PharmacologicalBlood ProteinsCytokine Receptor gp130Matrix Metalloproteinase 2OsteopontinTissue Plasminogen ActivatorTNF Receptor-Associated Factor 1TNF Receptor-Associated Factor 2Blood biomarker panelsInflammationIschemic strokeLuminexPlasma

Identifiers

PMID30099039
PMCPMC6261516
OpenAlexW2886205707

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.