揭示药用植物的抗癌潜力:植物医学中的代谢组学和分析工具。

IF 3.8 2区 化学 Q2 CHEMISTRY, APPLIED
Nisha Bansal, Ali M Alaseem, Arockia M Babu, Glowi Alasiri, Thakur Gurjeet Singh, Yogita Tyagi, Geetika Sharma
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引用次数: 0

摘要

代谢组学解释了在对抗癌症的战争中代谢变化和新生物标志物的鉴定。本文综述了代谢组学的研究进展,重点介绍了代谢组学在了解癌症相关代谢途径和植物化学相互作用方面的应用。在此,我们对核磁共振与质谱方法的光谱整合进行了文献综述,以进行全面的代谢物分析,从而能够识别和记录关键的生物标志物,从而实现早期癌症检测,并监测其预后。我们还研究了癌症中的代谢失调,如肿瘤代谢物和Warburg效应,它们有助于肿瘤的生长。天然产物的抗癌潜力已被彻底研究,代谢组学为评估其功效提供了一种系统的方法。这篇综述重点介绍了各种基于植物的生物活性化合物,包括姜黄素、染料木素和紫杉醇A,它们通过代谢组学分析显示了抗癌特性。此外,我们讨论了下一代代谢组学和药物代谢组学用于精确肿瘤学和个性化癌症治疗。通过将代谢组学与新兴的生物信息学工具相结合,本综述为生物标志物的发现、早期癌症检测和治疗进展提供了全面的框架。本文提出的见解强调了代谢组学在连接传统癌症研究与创新预防策略方面的潜力,最终有助于更精确和有效的靶向癌症治疗的进步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Unveiling the anticancer potential of medicinal plants: metabolomics and analytical tools in phytomedicine.

Metabolomics accounts for the metabolic alterations and identification of novel biomarkers in the war to combat cancer. This review explores advancements in metabolomics, emphasizing its application in understanding cancer-associated metabolic pathways and phytochemical interactions. Herein, we have explored the literature overview on the spectrometric integration of nuclear magnetic resonance with mass spectrometric methods for comprehensive metabolite profiling, enabling the identification and the documentation of critical biomarkers, allowing the early cancer detection, and monitoring its prognosis. We also look at metabolic dysregulations in cancer, such as oncometabolites and the Warburg effect, which aid in the growth of tumors. Natural products have been thoroughly examined for their anticancer potential, and metabolomics provides a systematic approach to evaluating their efficacy. This review highlights various plant-based bioactive compounds, including curcumin, genistein, and withaferin A, which have demonstrated anticancer properties through metabolomic profiling. Furthermore, we discuss next-generation metabolomics and pharmaco-metabolomics for precision oncology and personalized cancer treatment. By integrating metabolomics with emerging bioinformatics tools, this review provides a comprehensive framework for biomarker discovery, early cancer detection, and therapeutic advancements. The insights presented herein underscore the potential of metabolomics in bridging traditional cancer research with innovative prevention strategies, ultimately contributing to the advancement of more precise and effective targeted cancer therapies.

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来源期刊
Molecular Diversity
Molecular Diversity 化学-化学综合
CiteScore
7.30
自引率
7.90%
发文量
219
审稿时长
2.7 months
期刊介绍: Molecular Diversity is a new publication forum for the rapid publication of refereed papers dedicated to describing the development, application and theory of molecular diversity and combinatorial chemistry in basic and applied research and drug discovery. The journal publishes both short and full papers, perspectives, news and reviews dealing with all aspects of the generation of molecular diversity, application of diversity for screening against alternative targets of all types (biological, biophysical, technological), analysis of results obtained and their application in various scientific disciplines/approaches including: combinatorial chemistry and parallel synthesis; small molecule libraries; microwave synthesis; flow synthesis; fluorous synthesis; diversity oriented synthesis (DOS); nanoreactors; click chemistry; multiplex technologies; fragment- and ligand-based design; structure/function/SAR; computational chemistry and molecular design; chemoinformatics; screening techniques and screening interfaces; analytical and purification methods; robotics, automation and miniaturization; targeted libraries; display libraries; peptides and peptoids; proteins; oligonucleotides; carbohydrates; natural diversity; new methods of library formulation and deconvolution; directed evolution, origin of life and recombination; search techniques, landscapes, random chemistry and more;
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