Nair Pratibha P, Krishnakumar V, Nair Parvathy G
Department of Kayachikitsa, VPSV Ayurveda College, Kottakkal, India.
National Ayurveda Research Institute for Panchakarma, Cheruthuruthy, CCRAS, India.
J Ayurveda Integr Med. 2024 Jul-Aug;15(4):101016. doi: 10.1016/j.jaim.2024.101016. Epub 2024 Jul 16.
Precision in personalized medicine is a crucial subject that needs comprehensive discussion and scientific validation. Traditional healthcare approaches like the Ayurvedic Sciences are often contextually linked with personalized medicine. However, it is unfortunate that this knowledge concerning Ayurveda and personalized medicine is restricted to applying systems biology techniques to 'prakriti' the phenotypic expression and characterization detailed in the literature. There are other significant constructs besides prakruti that interest an Ayurvedic physician, which accounts for crafting precision in evidence-based medicinal practices. There is this influential model of Ayurvedic healthcare practice wherein the physician maps specific personalized characters in addition to prakruti to deduce the host responses to endogenous and exposome conditions. Subsequently, tailored protocols are administered that bring about holistic, personalized outcomes. The review aimed to determine the effective methods for integrating Systems Biology, Ayurvedic Sciences, and Personalized Medicine (precision medicinebased). Ayurveda adopts a holistic approach, considering multiple variables and their interconnections, while the modern reductionist approach focuses on understanding complex details of smaller parts through rigorous experimentation. Despite seeming extremes, ongoing research on lifestyle, gut health, and spiritual well-being highlights the evolving intersection between traditional Ayurvedic practices and modern science. The current focus is on developing the fundamental concept of Ayurveda Biology by incorporating Systems Biology techniques. Challenges in this integration include understanding diverse data types, bridging interdisciplinary knowledge gaps, and addressing technological limitations and ethical concerns. Overcoming these challenges will require interdisciplinary collaboration, innovative methodologies, substantial investment in technology, and cultural sensitivity to preserve Ayurveda's core principles while leveraging modern scientific advancements. The focus of discussions and debates on such collaborations should be breakthrough clinical models, such as chronic inflammation, which can be objectively related to specific stages of disease manifestations described in Ayurveda. Validating patient characteristics with systems biology approaches, particularly in shared pathologies like chronic inflammation, is crucial for bringing prediction and precision to personalized medicine.
精准医学中的精准性是一个至关重要的课题,需要进行全面的讨论和科学验证。像阿育吠陀医学这样的传统医疗方法通常与精准医学存在背景联系。然而,遗憾的是,关于阿育吠陀医学和精准医学的知识仅限于将系统生物学技术应用于文献中详细描述的“体质”(表型表达和特征)。除了体质之外,还有其他重要的概念吸引着阿育吠陀医学医生,这有助于在循证医学实践中实现精准性。有一种有影响力的阿育吠陀医疗实践模式,其中医生除了体质之外,还会描绘特定的个性化特征,以推断宿主对内源和暴露组状况的反应。随后,实施量身定制的方案,从而实现整体的、个性化的结果。本综述旨在确定整合系统生物学、阿育吠陀医学和个性化医学(基于精准医学)的有效方法。阿育吠陀医学采用整体方法,考虑多个变量及其相互联系,而现代的还原论方法则侧重于通过严格的实验来理解较小部分的复杂细节。尽管看似极端,但目前关于生活方式、肠道健康和精神健康的研究凸显了传统阿育吠陀医学实践与现代科学之间不断演变的交叉点。当前的重点是通过纳入系统生物学技术来发展阿育吠陀生物学的基本概念。这种整合面临的挑战包括理解不同的数据类型、弥合跨学科知识差距以及解决技术限制和伦理问题。克服这些挑战需要跨学科合作、创新方法、对技术的大量投资以及文化敏感性,以便在利用现代科学进步的同时保留阿育吠陀医学的核心原则。关于此类合作的讨论和辩论的重点应该是突破性的临床模型,例如慢性炎症,它可以与阿育吠陀医学中描述的疾病表现的特定阶段客观相关。用系统生物学方法验证患者特征,特别是在慢性炎症等共同病理情况下,对于实现个性化医学的预测性和精准性至关重要。