TY - JOUR
T1 - Large-Scale Multivariate Analysis to Interrogate an Animal Model of Stroke
T2 - Novel Insights into Poststroke Pathology
AU - Zhang, Shenpeng R.
AU - Kim, Hyun Ah
AU - Chu, Hannah X.
AU - Lee, Seyoung
AU - Evans, Megan A.
AU - Li, Xia
AU - Ma, Henry
AU - Drummond, Grant R.
AU - Sobey, Christopher G.
AU - Phan, Thanh G.
N1 - Publisher Copyright:
© 2021 Lippincott Williams and Wilkins. All rights reserved.
PY - 2021/11/1
Y1 - 2021/11/1
N2 - Background and Purpose: Preclinical stroke studies endeavor to model the pathophysiology of clinical stroke, assessing a range of parameters of injury and impairment. However, poststroke pathology is complex and variable, and associations between diverse parameters may be difficult to identify within the usual small study designs that focus on infarct size. Methods: We have performed a retrospective large-scale big data analysis of records from 631 C57BL/6 mice of either sex in which the middle cerebral artery was occluded by 1 of 5 surgeons either transiently for 1 hour followed by 23-hour reperfusion (transient middle cerebral artery occlusion [MCAO]; n=435) or permanently for 24 hours without reperfusion (permanent MCAO; n=196). Analyses included a multivariate linear mixed model with random intercept for different surgeons as a random effect to reduce type I and type II errors and a generalized ordinal regression model for ordinal data when random effects are low. Results: Analyses indicated that brain edema volume was associated with infarct volume at 24 hours (β, 0.52 [95% CI, 0.45-0.59]) and was higher after permanent MCAO than after transient MCAO (P<0.05). A more severe clinical score was associated with a greater infarct volume but not with the animal's age or edema volume. Further, a more severe clinical score was observed for a given brain infarct volume after transient MCAO versus permanent MCAO. Remarkably the animal's age, which corresponded with the period of young adulthood (6-40 weeks; equivalent to ≈18-35 years in humans), was positively associated with severity of lung infection (β, 0.65 [95% CI, 0.42-0.88]) and negatively with spleen weight (β, -0.36 [95% CI, -0.63 to -0.09]). Conclusions: Large-scale analysis of preclinical stroke data can provide researchers in our field with insight into relationships between variables not possible if individual studies are analyzed in isolation and has identified hypotheses for future study.
AB - Background and Purpose: Preclinical stroke studies endeavor to model the pathophysiology of clinical stroke, assessing a range of parameters of injury and impairment. However, poststroke pathology is complex and variable, and associations between diverse parameters may be difficult to identify within the usual small study designs that focus on infarct size. Methods: We have performed a retrospective large-scale big data analysis of records from 631 C57BL/6 mice of either sex in which the middle cerebral artery was occluded by 1 of 5 surgeons either transiently for 1 hour followed by 23-hour reperfusion (transient middle cerebral artery occlusion [MCAO]; n=435) or permanently for 24 hours without reperfusion (permanent MCAO; n=196). Analyses included a multivariate linear mixed model with random intercept for different surgeons as a random effect to reduce type I and type II errors and a generalized ordinal regression model for ordinal data when random effects are low. Results: Analyses indicated that brain edema volume was associated with infarct volume at 24 hours (β, 0.52 [95% CI, 0.45-0.59]) and was higher after permanent MCAO than after transient MCAO (P<0.05). A more severe clinical score was associated with a greater infarct volume but not with the animal's age or edema volume. Further, a more severe clinical score was observed for a given brain infarct volume after transient MCAO versus permanent MCAO. Remarkably the animal's age, which corresponded with the period of young adulthood (6-40 weeks; equivalent to ≈18-35 years in humans), was positively associated with severity of lung infection (β, 0.65 [95% CI, 0.42-0.88]) and negatively with spleen weight (β, -0.36 [95% CI, -0.63 to -0.09]). Conclusions: Large-scale analysis of preclinical stroke data can provide researchers in our field with insight into relationships between variables not possible if individual studies are analyzed in isolation and has identified hypotheses for future study.
KW - infarction
KW - infections
KW - ischemic stroke
KW - multivariate analysis
KW - surgeons
UR - http://www.scopus.com/inward/record.url?scp=85119016912&partnerID=8YFLogxK
U2 - 10.1161/STROKEAHA.121.036500
DO - 10.1161/STROKEAHA.121.036500
M3 - Article
C2 - 34619986
AN - SCOPUS:85119016912
SN - 0039-2499
VL - 52
SP - 3661
EP - 3669
JO - Stroke
JF - Stroke
IS - 11
ER -