Sreenesh Bini, Varghese Elizabeth, Kubatka Peter, Samuel Samson Mathews, Büsselberg Dietrich
Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Education City, Qatar Foundation, Doha 24144, Qatar.
Laboratory of Experimental and Clinical Regenerative Medicine, Small Animal Clinic, University of Veterinary Medicine and Pharmacy in Kosice, 04181 Kosice, Slovakia.
Foods. 2025 Jul 7;14(13):2392. doi: 10.3390/foods14132392.
Molecular crosstalk between the gut microbiome and human diet represent a potential therapeutic avenue requiring further investigation as it can be applied to human health management and treatment. Colon cancer, the third leading cause of cancer mortality, is often linked to the gut microbiome. In vitro and in vivo studies and metagenomic research have revealed alterations in gut microbial flora among diseased individuals. The human diet is connected to these changes in microbial inhabitants related to the pathophysiology underlying colorectal cancer (CRC). Polyphenols are well-studied, naturally occurring plant secondary metabolites recognized for their anti-inflammatory and antioxidant properties. The anticancer activities of these compounds are increasingly reported, offering insights into the administration of these natural molecules for managing various types of cancer and developing novel medications from them. Recent investigations have highlighted the prebiotic-like effects of these compounds on gut microbial dysbiosis and their metabolism concerning colorectal cancer, influencing colon cancer by interfering with multiple signaling pathways. This review will focus on the existing literature regarding the prebiotic potential of dietary polyphenols, and further research in this area would be valuable, as the integration of artificial intelligence (AI) and machine learning (ML) can enable analysis of the connections between unique gut microbiome profiles and other dependent factors such as physiological and genetic variables, paving the way for personalized treatment strategies in gut microbiome-based health management and precision medicine.
肠道微生物群与人类饮食之间的分子相互作用代表了一条潜在的治疗途径,需要进一步研究,因为它可应用于人类健康管理和治疗。结肠癌是癌症死亡的第三大主要原因,通常与肠道微生物群有关。体外和体内研究以及宏基因组学研究已经揭示了患病个体肠道微生物群的改变。人类饮食与这些与结直肠癌(CRC)潜在病理生理学相关的微生物群落变化有关。多酚是经过充分研究的天然存在的植物次生代谢产物,以其抗炎和抗氧化特性而闻名。越来越多的报道称这些化合物具有抗癌活性,这为使用这些天然分子来管理各种类型的癌症以及从中开发新型药物提供了思路。最近的研究强调了这些化合物对肠道微生物失调的益生元样作用及其与结直肠癌相关的代谢,通过干扰多种信号通路影响结肠癌。本综述将关注关于膳食多酚益生元潜力的现有文献,并且在这一领域的进一步研究将是有价值的,因为人工智能(AI)和机器学习(ML)的整合能够分析独特的肠道微生物群特征与其他相关因素(如生理和遗传变量)之间的联系,为基于肠道微生物群的健康管理和精准医学中的个性化治疗策略铺平道路。