Nisha Bansal, Ali M Alaseem, Arockia M Babu, Glowi Alasiri, Thakur Gurjeet Singh, Yogita Tyagi, Geetika Sharma
{"title":"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。","authors":"Nisha Bansal, Ali M Alaseem, Arockia M Babu, Glowi Alasiri, Thakur Gurjeet Singh, Yogita Tyagi, Geetika Sharma","doi":"10.1007/s11030-025-11362-9","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":708,"journal":{"name":"Molecular Diversity","volume":" ","pages":""},"PeriodicalIF":3.8000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unveiling the anticancer potential of medicinal plants: metabolomics and analytical tools in phytomedicine.\",\"authors\":\"Nisha Bansal, Ali M Alaseem, Arockia M Babu, Glowi Alasiri, Thakur Gurjeet Singh, Yogita Tyagi, Geetika Sharma\",\"doi\":\"10.1007/s11030-025-11362-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Metabolomics accounts for the metabolic alterations and identification of novel biomarkers in the war to combat cancer. 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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.
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;