Open AccessIntegrated analysis of gait parameters and gene expression profiles in a murine model of subarachnoid hemorrhage
Author(s) -
Zheng Zhi Yuan,
Lu Gang,
Xiong Zhi Qiang,
Leung Chi Kwan,
Su Xian Wei,
Li Tu,
Poon Wai Sang,
Chan Wai Yee,
Wong George Kwok Chu
Publication year - 2021
Publication title -
genes, brain and behavior
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.315
H-Index - 91
eISSN - 1601-183X
pISSN - 1601-1848
DOI - 10.1111/gbb.12728
Subject(s) - gait , subarachnoid hemorrhage , gait analysis , correlation , pathological , physical medicine and rehabilitation , medicine , biomarker , neuroscience , pathology , psychology , biology , genetics , geometry , mathematics
Gait analysis has been widely used to examine the behavioral presentation of numerous neurological disorders. Thorough murine model evaluation of the subarachnoid hemorrhage (SAH)‐associated gait deficits is missing. This study measures gait deficits using a clinically relevant murine model of SAH to examine associations between gait variability and SAH‐associated gene expressions. A total of 159 dynamic and static gait parameters from the endovascular perforation murine model for simulating clinical human SAH were determined using the CatWalk system. Eighty gait parameters and the mRNA expression levels of 35 of the 88 SAH‐associated genes were differentially regulated in the diseased models. Totals of 42 and 38 gait parameters correlated with the 35 SAH‐associated genes positively and negatively with Pearson's correlation coefficients of >0.7 and <−0.7, respectively. p‐SP1 453 expression in the motor cortex in SAH animal models displays a significant correlation with a subset of gait parameters associated with muscular strength and coordination of limb movements. Our data highlights a strong correlation between gait variability and SAH‐associated gene expression. p‐SP1 453 expression could act as a biomarker to monitor SAH pathological development and a therapeutic target for SAH.