Ramaiah Indic Specialty Ayurveda Restoration Hospital, Bangalore, India.
J Biosci. 2021;46.
Diagnosis and treatment of various diseases in , the Indian system of medicine, relies on '' phenotyping of individuals into predominantly three constitutions, and . Recent studies propose that microbiome play an integral role in precision medicine. A study of the relationship between - the basis of personalized medicine in and that of gut microbiome, and possible biomarker of an individual's health, would vastly improve precision therapy. Towards this, we analyzed bacterial metagenomes from buccal (oral microbiome) and fecal (gut microbiome) samples of 272 healthy individuals of various predominant . Major bacterial genera from gut microbiome included and while oral microbiome included and . Though the core microbiome was shared across all individuals, we found prakriti specific signatures such as preferential presence of Paraprevotella and Christensenellaceae in vata individuals. A comparison of core gut microbiome of each with a database of 'healthy' microbes identified microbes unique to each with functional roles similar to the physiological characteristics of various as described in . Our findings provide evidence to interventions based on phenotyping and possible microbial biomarkers that can stratify the heterogenous population and aid in precision therapy.
在印度医学体系中,各种疾病的诊断和治疗依赖于将个体“表型”主要分为三种体质,即和。最近的研究表明,微生物组在精准医学中起着不可或缺的作用。研究个体的“维达”——个性化医学的基础和肠道微生物组之间的关系,以及个体健康的可能生物标志物,将极大地提高精准治疗的效果。为此,我们分析了 272 名不同主要体质的健康个体的口腔(口腔微生物组)和粪便(肠道微生物组)样本中的细菌宏基因组。肠道微生物组中的主要细菌属包括和,而口腔微生物组中则包括和。尽管所有个体都共享核心微生物组,但我们发现了一些特定于 prakriti 的特征,例如 vata 个体中优先存在 Paraprevotella 和 Christensenellaceae。将每个人的核心肠道微生物组与“健康”微生物数据库进行比较,确定了每个 prakriti 特有的微生物,它们的功能作用类似于中描述的各种 prakriti 的生理特征。我们的发现为基于表型和可能的微生物生物标志物的干预提供了证据,这些标志物可以对异质人群进行分层,并有助于精准治疗。