Muzi Li, Shiyan Qian, Lingke Qian, Guoqian Cui, Shuoyan Tan, Wenbo Guo, Shengshuang Chen, Guoqing Zheng, Jie Liao, Xiaohui Fan
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引用次数: 0
Abstract
Ischemic stroke is a leading cause of death and disability, yet effective pharmacological interventions remain limited. Ginsenoside Rb1, a principal bioactive compound of Panax ginseng, has demonstrated neuroprotective activity, but its metabolic mechanisms remain incompletely defined. Here, we combined lipid metabolomics with matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) to investigate the spatially resolved metabolic effects of Rb1 in a rat model of cerebral ischemia/reperfusion injury. Rb1 treatment significantly reduced infarct volume and improved neurological outcomes. Metabolomic profiling revealed that Rb1 reversed ischemia-induced disturbances in the glycerophospholipid and amino acid metabolism, while MSI demonstrated recovery of phosphatidic acid, phosphatidylcholine, phosphatidylethanolamine, and phosphatidylserine distributions in the ischemic cortex. These metabolic improvements were strongly correlated with reduced levels of pro-inflammatory cytokines (TNF-α, IL-6, IL-1β) and oxidative stress marker malondialdehyde, along with increased superoxide dismutase activity. Rb1 also preserved blood-brain barrier integrity by enhancing the expression of tight-junction proteins ZO-1 and Occludin. Together, these findings indicate that Rb1 confers neuroprotection through metabolic reprogramming linked to anti-inflammatory and antioxidant actions, and they highlight the value of integrating metabolomics with MSI to elucidate spatially defined drug mechanisms in the brain.
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".