Unraveling the therapeutic efficacy of resveratrol in Alzheimer’s disease: an umbrella review of systematic evidence

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS
Ali Azargoonjahromi, Fatemeh Abutalebian
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引用次数: 0

Abstract

Resveratrol (RV), a natural compound found in grapes, berries, and peanuts, has been extensively studied for its potential in treating Alzheimer’s disease (AD). RV has shown promise in inhibiting the formation of beta-amyloid plaques (Aβ) and neurofibrillary tangles (NFTs), protecting against neuronal damage and oxidative stress, reducing inflammation, promoting neuroprotection, and improving the function of the blood–brain barrier (BBB). However, conflicting results have been reported, necessitating a comprehensive umbrella review of systematic reviews to provide an unbiased conclusion on the therapeutic effectiveness of RV in AD. The objective of this study was to systematically synthesize and evaluate systematic and meta-analysis reviews investigating the role of RV in AD using data from both human and animal studies. Of the 34 systematic and meta-analysis reviews examining the association between RV and AD that were collected, six were included in this study based on specific selection criteria. To identify pertinent studies, a comprehensive search was conducted in English-language peer-reviewed journals without any restrictions on the publication date until October 15, 2023. The search was carried out across multiple databases, including Embase, MEDLINE (PubMed), Cochrane Library, Web of Science, and Google Scholar, utilizing appropriate terms relevant to the specific research field. The AMSTAR-2 and ROBIS tools were also used to evaluate the quality and risk of bias of the included systematic reviews, respectively. Two researchers independently extracted and analyzed the data, resolving any discrepancies through consensus. Of note, the study adhered to the PRIOR checklist. This umbrella review presented robust evidence supporting the positive impacts of RV in AD, irrespective of the specific mechanisms involved. It indeed indicated that all six systematic and meta-analysis reviews unanimously concluded that the consumption of RV can be effective in the treatment of AD. RV exhibits promising potential for benefiting individuals with AD through various mechanisms. It has been observed to enhance cognitive function, reduce Aβ accumulation, provide neuroprotection, protect the BBB, support mitochondrial function, facilitate synaptic plasticity, stabilize tau proteins, mitigate oxidative stress, and reduce neuroinflammation commonly associated with AD.
揭示白藜芦醇对阿尔茨海默病的疗效:系统证据综述
白藜芦醇(RV)是一种存在于葡萄、浆果和花生中的天然化合物,它在治疗阿尔茨海默病(AD)方面的潜力已被广泛研究。RV在抑制β-淀粉样蛋白斑块(Aβ)和神经纤维缠结(NFTs)的形成、防止神经元损伤和氧化应激、减少炎症、促进神经保护和改善血脑屏障(BBB)功能等方面显示出前景。然而,报道的结果相互矛盾,因此有必要对系统综述进行全面的总括性回顾,以便就RV对AD的治疗效果提供一个公正的结论。本研究的目的是利用人类和动物研究数据,系统地综合和评估研究 RV 在 AD 中作用的系统性综述和荟萃分析综述。在收集到的 34 篇研究 RV 与 AD 关联性的系统和荟萃分析综述中,有 6 篇根据特定的选择标准被纳入本研究。为了确定相关研究,研究人员在 2023 年 10 月 15 日之前对英文同行评审期刊进行了全面检索,对发表日期没有任何限制。检索在多个数据库中进行,包括 Embase、MEDLINE (PubMed)、Cochrane Library、Web of Science 和 Google Scholar,并使用了与特定研究领域相关的适当术语。此外,还使用 AMSTAR-2 和 ROBIS 工具分别评估了所纳入系统综述的质量和偏倚风险。两名研究人员独立提取和分析数据,通过协商一致解决任何差异。值得注意的是,该研究遵守了 PRIOR 核对表。这篇综述提供了有力的证据,支持RV对AD的积极影响,无论涉及的具体机制如何。它确实表明,所有六篇系统性和荟萃分析综述都一致认为,服用 RV 可以有效治疗 AD。RV 具有通过各种机制使注意力缺失症患者受益的潜力。据观察,RV 可增强认知功能、减少 Aβ 积累、提供神经保护、保护 BBB、支持线粒体功能、促进突触可塑性、稳定 tau 蛋白、减轻氧化应激以及减少与 AD 常见的神经炎症。
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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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