Abstract DP223: Bodyweight loss is the most significant long-term predictor of both stroke lesion volume and behavioral deficits among mouse models from the Stroke Preclincial Assessment Network.

Background: Behavioral deficits in mouse stroke models are often short-lived and lack significant correlation with stroke lesion volume. These limitations pose a challenge for assessing therapeutic interventions. The Stroke Preclinical Assessment Network phase 2, stage 1 (SPAN 2.1) was a multi-center, multi-stage preclinical study of cerebroprotectants combined with reperfusion. In this study, we explored the most significant long-term metrics for indicating (i) post-MCAO deficits and (ii) stroke lesion volume in mouse models at a single SPAN 2.1 site. Methods: Mice (n=58) from 3 groups of young healthy (~4 mo), diet-induced obese (~4 mo), and aged mice (~17 mo) underwent 60 min MCAO followed by 30 (±2) days of reperfusion. Stroke lesion volume was measured day-3 post-MCAO using MRI. Bodyweight loss, 9-item neurobattery score, corner test turn ratio, Y-maze percent alternation, and PhenoTyper activity (daytime/nighttime movement) were correlated to stroke lesion volume and compared to baseline data. Neurobattery was also analyzed by subtest: spontaneous activity, circling, symmetry of four limbs, forepaw outstretching, trunk sensation, vibrissae sensation, face sensation, beam-walking, and grid-climbing. Baseline PhenoTyper data was not collected. Results: There was a significant deficit between the baseline and turn ratio (p<0.0001), total neurobattery score (p<0.0001), circling (p<0.0001), symmetry of four limbs (p<0.0001), forepaw outstretching (p<0.0001), trunk sensation (p<0.0001), beam-walking (p=0.0003), percent alternation (p=0.0005), bodyweight loss (p=0.006), vibrissae sensation (p=0.0105), and face sensation (p=0.0183). There was not a significant deficit for spontaneous activity or grid-climbing (p>0.05). Among all endpoint metrics, bodyweight loss had the most significant correlation to stroke lesion volume (r=-0.5054, p=0.0005), while beam-walking also had a significant correlation (r=0.2817, p=0.0322). Other metrics did not correlate significantly with stroke lesion volume (p>0.05). Conclusion: Although not commonly viewed as a long-term metric for assessing post-MCAO deficits, bodyweight loss was the most significant predictor of both stroke lesion volume and behavioral deficits in SPAN 2.1 mice. Beam-walking was also a significant predictor of stroke lesion volume and behavioral deficits, though to a lesser extent. While other endpoint metrics were significantly different from baseline data, they did not reliably reflect stroke lesion volume.

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Journal
Stroke
Published
2026-01-29
DOI
https://doi.org/10.1161/str.57.suppl_1.dp223
Primary Topic
Neurological Disease Mechanisms and Treatments
Type
article
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article

Abstract DP223: Bodyweight loss is the most significant long-term predictor of both stroke lesion volume and behavioral deficits among mouse models from the Stroke Preclincial Assessment Network.

Kaley Sauer, Patrick Lyden, Yingxin Chen, Yamileck Olivas Garcia et al.
Stroke
Neurological Disease Mechanisms and Treatments
article

Abstract DP223: Bodyweight loss is the most significant long-term predictor of both stroke lesion volume and behavioral deficits among mouse models from the Stroke Preclincial Assessment Network.

Kaley Sauer, Patrick Lyden, Yingxin Chen, Yamileck Olivas Garcia, Bingren Hu, David Berry, Chunli Liu
article en

Abstract

Background: Behavioral deficits in mouse stroke models are often short-lived and lack significant correlation with stroke lesion volume. These limitations pose a challenge for assessing therapeutic interventions. The Stroke Preclinical Assessment Network phase 2, stage 1 (SPAN 2.1) was a multi-center, multi-stage preclinical study of cerebroprotectants combined with reperfusion. In this study, we explored the most significant long-term metrics for indicating (i) post-MCAO deficits and (ii) stroke lesion volume in mouse models at a single SPAN 2.1 site. Methods: Mice (n=58) from 3 groups of young healthy (~4 mo), diet-induced obese (~4 mo), and aged mice (~17 mo) underwent 60 min MCAO followed by 30 (±2) days of reperfusion. Stroke lesion volume was measured day-3 post-MCAO using MRI. Bodyweight loss, 9-item neurobattery score, corner test turn ratio, Y-maze percent alternation, and PhenoTyper activity (daytime/nighttime movement) were correlated to stroke lesion volume and compared to baseline data. Neurobattery was also analyzed by subtest: spontaneous activity, circling, symmetry of four limbs, forepaw outstretching, trunk sensation, vibrissae sensation, face sensation, beam-walking, and grid-climbing. Baseline PhenoTyper data was not collected. Results: There was a significant deficit between the baseline and turn ratio (p<0.0001), total neurobattery score (p<0.0001), circling (p<0.0001), symmetry of four limbs (p<0.0001), forepaw outstretching (p<0.0001), trunk sensation (p<0.0001), beam-walking (p=0.0003), percent alternation (p=0.0005), bodyweight loss (p=0.006), vibrissae sensation (p=0.0105), and face sensation (p=0.0183). There was not a significant deficit for spontaneous activity or grid-climbing (p>0.05). Among all endpoint metrics, bodyweight loss had the most significant correlation to stroke lesion volume (r=-0.5054, p=0.0005), while beam-walking also had a significant correlation (r=0.2817, p=0.0322). Other metrics did not correlate significantly with stroke lesion volume (p>0.05). Conclusion: Although not commonly viewed as a long-term metric for assessing post-MCAO deficits, bodyweight loss was the most significant predictor of both stroke lesion volume and behavioral deficits in SPAN 2.1 mice. Beam-walking was also a significant predictor of stroke lesion volume and behavioral deficits, though to a lesser extent. While other endpoint metrics were significantly different from baseline data, they did not reliably reflect stroke lesion volume.

StrokeVol. 57(Suppl_1)
LAC+USC Medical Center (US), University of California San Diego (US)
Good health and well-being
Openalex Percentile: Top 79%
Neurological Disease Mechanisms and Treatments
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