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“肠道感觉”:一种基于常驻微生物组代谢功能能力预测肠道健康状况的计算方法。

'GutFeel': an in silico method for predicting gut health status based on the metabolic functional capabilities of the resident microbiome.

机构信息

Life Sciences R&D, TCS Research, Tata Consultancy Services Limited, Pune, India.

出版信息

FEBS Lett. 2021 Jul;595(13):1825-1843. doi: 10.1002/1873-3468.14107. Epub 2021 Jun 3.

Abstract

Dysbiosis or imbalance in the gut microbiome has been correlated with the etiology of a number of diseases/disorders. Thus, gut microbial communities can potentially be utilized for assessing the health of the human gut. Although the taxonomic composition of the microbiomes is dependent on factors such as diet, lifestyle, and geography, these microbes perform a specific set of common functions in the gut. In this study, metabolic pathway-based markers (agnostic to above-mentioned factors) specific to commensals and those specific to pathogens are utilized as indicators of gut health. Furthermore, this gut health assessment requires only a small set of features rather than complete sequencing of metagenomes. The proposed scheme can also be used to design personalized biotherapeutics, depending on functional aspects observed in an individual.

摘要

肠道微生物组的失调或失衡与许多疾病/障碍的病因有关。因此,肠道微生物群落可以用于评估人类肠道的健康状况。尽管微生物组的分类组成取决于饮食、生活方式和地理位置等因素,但这些微生物在肠道中执行特定的一组共同功能。在这项研究中,利用基于代谢途径的标记物(与上述因素无关)来区分共生菌和病原体,作为肠道健康的指标。此外,这种肠道健康评估只需要一小部分特征,而不需要对宏基因组进行完整测序。根据个体观察到的功能方面,该方案还可用于设计个性化的生物治疗药物。

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