Association of neonatal inflammatory markers and perinatal stroke subtypes.
Adult
Age of Onset
Brain Infarction
/ classification
Brain Ischemia
/ classification
Cluster Analysis
Cytokines
/ immunology
Discriminant Analysis
Dried Blood Spot Testing
Female
Humans
Infant, Newborn
Infarction, Middle Cerebral Artery
/ classification
Inflammation
/ immunology
Intracranial Arterial Diseases
/ classification
Linear Models
Magnetic Resonance Imaging
Male
Maternal Age
Paresis
/ physiopathology
Pre-Eclampsia
/ epidemiology
Pregnancy
Seizures
/ physiopathology
Smoking
/ epidemiology
Stroke
/ classification
White Matter
/ diagnostic imaging
Young Adult
Journal
Neurology
ISSN: 1526-632X
Titre abrégé: Neurology
Pays: United States
ID NLM: 0401060
Informations de publication
Date de publication:
01 09 2020
01 09 2020
Historique:
received:
29
08
2019
accepted:
30
03
2020
pubmed:
31
7
2020
medline:
27
10
2020
entrez:
31
7
2020
Statut:
ppublish
Résumé
To examine the relationship between neonatal inflammatory cytokines and perinatal stroke using a systems biology approach analyzing serum and blood-spot cytokines from 47 patients. This was a population-based, controlled cohort study with prospective and retrospective case ascertainment. Participants were recruited through the Alberta Perinatal Stroke Project. Stroke was classified as neonatal arterial ischemic stroke (NAIS), arterial presumed perinatal ischemic stroke (APPIS), or periventricular venous infarction (PVI). Biosamples were stored blood spots (retrospective) and acute serum (prospective). Controls had comparable gestational and maternal ages. Sixty-five cytokines were measured (Luminex). Hierarchical clustering analysis was performed to create heat maps. The Fisher linear discriminant analysis was used to create projection models to determine discriminatory boundaries between stroke types and controls. A total of 197 participants were analyzed (27 with NAIS, 8 with APPIS, 12 with PVI, 150 controls). Cytokines were quantifiable with quality control measures satisfied (standards testing, decay analysis). Linear discriminant analysis had high accuracy in using cytokine profiles to separate groups. Profiles in participants with PVI and controls were similar. NAIS separation was accurate (sensitivity 77%, specificity 97%). APPIS mapping was also distinguishable from NAIS (sensitivity 86%, specificity 99%). Classification tree analysis generated similar diagnostic accuracy. Unique inflammatory biomarker signatures are associated with specific perinatal stroke diseases. Findings support an acquired pathophysiology and suggest the possibility that at-risk pregnancies might be identified to develop prevention strategies. This study provides Class III evidence that differences in acute neonatal serum cytokine profiles can discriminate between patients with specific perinatal stroke diseases and controls.
Identifiants
pubmed: 32727836
pii: WNL.0000000000010309
doi: 10.1212/WNL.0000000000010309
doi:
Substances chimiques
Cytokines
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e1163-e1173Informations de copyright
© 2020 American Academy of Neurology.