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Meta-analysis of preclinical studies suggests ligustrazine improves outcomes in cerebral ischemia-reperfusion injury

Meta-analysis of preclinical studies suggests ligustrazine improves outcomes in cerebral…
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Key Takeaway
Interpret cautiously: ligustrazine shows promise in animal models of cerebral ischemia-reperfusion injury, but human data are lacking.

This meta-analysis of preclinical animal studies examined the effects of ligustrazine on cerebral ischemia-reperfusion injury. The analysis included 381 animals from multiple studies, with an additional machine learning component involving 321 animals. The primary outcome was neurological function score, and secondary outcomes included cerebral infarct volume and blood-brain barrier (BBB) integrity.

Pooled effect sizes showed significant improvements with ligustrazine: neurological function score (Longa criteria) SMD = -1.59 (95%CI -2.16 to -1.01, P < 0.001); neurological function score (mNSS criteria) SMD = -1.67 (95%CI -2.36 to -0.97, P < 0.001); cerebral infarct volume SMD = -2.56 (95%CI -3.03 to -2.09, P < 0.001); and BBB SMD = -3.06 (95%CI -4.53 to -1.59, P < 0.001). All results favored ligustrazine.

No limitations were reported by the authors, and safety data were not provided. As a preclinical meta-analysis, these findings are based on animal models and cannot be directly extrapolated to human patients. The evidence is preliminary and requires validation in clinical trials.

For clinicians, these results highlight a potential therapeutic avenue but underscore the need for human studies to confirm efficacy and safety. Practice relevance remains uncertain until further evidence emerges.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
ObjectiveThis study aimed to assess the efficacy of ligustrazine in treating cerebral ischemia-reperfusion (I/R) injury and construct a preclinical evidence framework by meta-analysis and machine learning.MethodsA systematic search was conducted for preclinical studies published in PubMed, Embase, Web of Science, and the Cochrane Library up to June 25, 2024. The inclusion criteria encompassed preclinical animal studies pertinent to the topic. Data extraction was performed independently by two individuals, Stata 17.0 software was used for quantitative analysis, R (version 4.3.3) and Python (version 3.11.4) were used for machine learning with neurological function score as the dependent variable.ResultsA total of 23 articles were included, involving 381 animals in the meta-analysis and 321 animals in the machine learning component. Ligustrazine significantly improved neurofunctional scores (NFS) [Longa criteria, SMD = −1.59, 95%CI (−2.16, −1.01), P < 0.001; mNSS criteria, SMD = −1.67, 95%CI (−2.36, −0.97), P < 0.001], cerebral infarct volume (%) [SMD = −2.56, 95%CI (−3.03, −2.09), P < 0.001], and BBB [SMD = −3.06, 95%CI (−4.53, −1.59), P < 0.001]. Furthermore, machine learning analyses, with NFS as the dependent variable, identified the time of first dose, duration, and dose as key determinants of neurofunctional improvement with ligustrazine. Notably, model interpretation suggested that greater improvements were more likely to occur when the initial administration of ligustrazine occurred within 24 h prior to (or 2.21 h post) the ischemic event, at a dosage of 23.53–34.69 mg/kg/day (or 45.71 to 75.65 mg/kg/day), and with an administration duration exceeding 71.43 h.ConclusionThe combination of meta-analysis and machine learning in this study not only confirms that ligustrazine is effective in reducing cerebral I/R injury, but also provides a framework for elucidating the preclinical intervention variables, thus offering novel insights for optimizing preclinical strategies of ligustrazine in cerebral I/R injury.
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