Targeted Neuroprotection in Sporadic Alzheimer's Disease: UPLC-ESI-MS/MS Profiling and Bilosome-Mediated Delivery of Crateva magna and Its Endophytic Fungal Extracts.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Aya N Talaat, Mohamed S Elnaggar, Nehal Ibrahim, Iriny M Ayoub, Haidy Abbas, Nesrine El Sayed, Rola M Labib, Abdel Nasser B Singab
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Abstract

Introduction: Crateva magna (Cm) was utilized as a folkloric medicine against neurological disorders.

Objectives: This study aimed to investigate the phytochemical profile of Cm leaf extract and its endophytic fungus, Nigrospora oryzae (No) extract. Additionally, the neuroprotective potential of their optimized bilosomes (BLs) will be assessed as an approach to Alzheimer's disease (AD) treatment.

Materials and methods: UPLC-ESI-MS/MS chemical profiling was performed. In vitro anti-Alzheimer activity of Cm and No extracts was evaluated against AChE and BACE1 enzymes. Cm-BLs and No-BLs were prepared using the thin-film hydration technique. In vivo anti-Alzheimer potential was assessed in a streptozotocin (STZ)-induced sporadic AD mouse model. Behavioral assays, neurochemical assays, RT-PCR analysis, histopathological examination, and immunohistochemical analysis were performed.

Results: Chemical profiling revealed diverse metabolites from various chemical classes. The major class identified in Cm extract was flavonoids, e.g., kaempferol-O-hexoside, whereas in No extract, it was alkaloids, e.g., phenazine carboxamide. The neuropathological markers (Aβ1-42, IL-6, and p-Tau protein) were reduced by ≈50% and 60% in mice receiving Cm-BLs and No-BLs, respectively, relative to the STZ group. Also, the BLs exhibited the greatest ability to downregulate the expression of p-JNK, p-P38, and p-ERK in the brain. Histopathological examination revealed that No-BLs showed the highest protection for the hippocampus and cerebral cortex regions. Also, it revealed a significantly decreased reaction for NFκB in cerebral cortex neurons.

Conclusion: Cm-BLs and No-BLs exhibit considerable potential as novel adjuvant therapies for AD, utilizing natural bioactive compounds to improve the efficiency of targeted drug delivery and enhance therapeutic outcomes.

散发性阿尔茨海默病的靶向神经保护:UPLC-ESI-MS/MS分析和生物体介导的大鼠叶及其内生真菌提取物递送。
介绍:大叶草(Cm)是一种用于治疗神经系统疾病的民间药物。目的:研究紫苏叶提取物及其内生真菌黑孢菌(Nigrospora oryzae, No)提取物的植物化学性质。此外,他们优化的bilosome (BLs)的神经保护潜力将被评估为治疗阿尔茨海默病(AD)的一种方法。材料和方法:进行UPLC-ESI-MS/MS化学分析。观察Cm和No提取物对AChE和BACE1酶的体外抗阿尔茨海默病活性。采用薄膜水化技术制备Cm-BLs和No-BLs。在链脲佐菌素(STZ)诱导的散发性AD小鼠模型中评估了体内抗阿尔茨海默病的潜力。进行行为学分析、神经化学分析、RT-PCR分析、组织病理学检查和免疫组织化学分析。结果:化学谱分析显示了不同化学类别的不同代谢物。Cm提取物中主要成分为黄酮类化合物,如山奈酚- o -己糖苷;No提取物中主要成分为生物碱,如非那嗪羧酰胺。与STZ组相比,Cm-BLs组和No-BLs组小鼠的神经病理标志物(a - β1-42、IL-6和p-Tau蛋白)分别降低约50%和60%。此外,BLs在大脑中表现出最大的下调p-JNK, p-P38和p-ERK表达的能力。组织病理学检查显示,No-BLs对海马和大脑皮质区具有最高的保护作用。同时,研究还发现NFκB在大脑皮层神经元中的反应明显降低。结论:Cm-BLs和No-BLs作为AD的新型辅助疗法具有相当大的潜力,利用天然生物活性化合物提高靶向给药效率,提高治疗效果。
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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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