Metabolomics revealed that quercetin improved spleen metabolism disorders and regulated the brain-spleen axis in perimenopausal depression model rats

IF 3.1 3区 医学 Q2 CHEMISTRY, ANALYTICAL Journal of pharmaceutical and biomedical analysis Pub Date : 2025-02-13 DOI:10.1016/j.jpba.2025.116744
Ranqi Yao, Wenqi Cui, Weidi Wang, Chenlu Feng, Ying Chen, Xiujuan Zhao
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Abstract

Perimenopausal depression is a subtype of depression that seriously harms women's health. The pathogenesis of perimenopausal depression remains unclear, which limits its prevention and therapy. Quercetin is a flavonoid with antidepressant and estrogen-like effects. This study aimed to explore the effects of quercetin on spleen metabolism in rats with perimenopausal depression and its potential mechanism. Untargeted metabolomics was employed to obtain splenic metabolite profiles, and 21 differential metabolites were identified. Pathway analysis revealed that glycerophospholipid metabolism, retinol metabolism, steroid hormone biosynthesis, and linoleic acid metabolism were disturbed. Notably, Spearman’s rank correlation analysis revealed that differential metabolites were significantly correlated with behavioral test results (p < 0.01). After treatment with quercetin, the intensities of the above differential metabolites were restored (p < 0.01), indicating that quercetin can improve the spleen metabolic disorder induced by the perimenopausal depression model. Further study showed that quercetin can increase the expression of PPAR-α in the hippocampus and spleen, reduce the expression of NF-κB and the levels of TNF-α and IL-6 in the spleen, and restore the expression of CREB and BDNF in the hippocampus (p < 0.05 or p < 0.01). Our study is the first to explore the effect of quercetin on spleen metabolism disorders in perimenopausal depression model rats using untargeted metabolomics. Quercetin can improve spleen metabolism disorders through multiple pathways, which may be related to the restoration of hippocampal neuroplasticity and reduction of spleen inflammation by regulating the brain-spleen axis. Our study provides a potential strategy for preventing and treating perimenopausal depression.
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代谢组学结果显示槲皮素可改善围绝经期抑郁症模型大鼠的脾脏代谢紊乱,调节脑脾轴
围绝经期抑郁症是抑郁症的一种亚型,严重危害妇女的健康。围绝经期抑郁症的发病机制尚不清楚,这限制了其预防和治疗。槲皮素是一种类黄酮,具有抗抑郁和雌激素样作用。本研究旨在探讨槲皮素对围绝经期抑郁症大鼠脾代谢的影响及其可能机制。采用非靶向代谢组学方法获得脾脏代谢物谱,鉴定出21种差异代谢物。途径分析显示甘油磷脂代谢、视黄醇代谢、类固醇激素生物合成和亚油酸代谢受到干扰。值得注意的是,Spearman秩相关分析显示,差异代谢物与行为测试结果显著相关(p <; 0.01)。槲皮素治疗后,上述差异代谢物强度恢复(p <; 0.01),说明槲皮素可改善围绝经期抑郁模型所致的脾脏代谢紊乱。进一步研究发现槲皮素可增加海马和脾脏PPAR-α的表达,降低脾脏NF-κB的表达和TNF-α、IL-6的水平,恢复海马中CREB、BDNF的表达(p <; 0.05或p <; 0.01)。本研究首次采用非靶向代谢组学方法探讨槲皮素对围绝经期抑郁症模型大鼠脾代谢紊乱的影响。槲皮素可通过多种途径改善脾脏代谢紊乱,可能与通过调节脑脾轴恢复海马神经可塑性、减轻脾脏炎症有关。我们的研究为预防和治疗围绝经期抑郁症提供了一个潜在的策略。
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来源期刊
CiteScore
6.70
自引率
5.90%
发文量
588
审稿时长
37 days
期刊介绍: This journal is an international medium directed towards the needs of academic, clinical, government and industrial analysis by publishing original research reports and critical reviews on pharmaceutical and biomedical analysis. It covers the interdisciplinary aspects of analysis in the pharmaceutical, biomedical and clinical sciences, including developments in analytical methodology, instrumentation, computation and interpretation. Submissions on novel applications focusing on drug purity and stability studies, pharmacokinetics, therapeutic monitoring, metabolic profiling; drug-related aspects of analytical biochemistry and forensic toxicology; quality assurance in the pharmaceutical industry are also welcome. Studies from areas of well established and poorly selective methods, such as UV-VIS spectrophotometry (including derivative and multi-wavelength measurements), basic electroanalytical (potentiometric, polarographic and voltammetric) methods, fluorimetry, flow-injection analysis, etc. are accepted for publication in exceptional cases only, if a unique and substantial advantage over presently known systems is demonstrated. The same applies to the assay of simple drug formulations by any kind of methods and the determination of drugs in biological samples based merely on spiked samples. Drug purity/stability studies should contain information on the structure elucidation of the impurities/degradants.
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