Human Systems Biology Laboratory. Instituto Nacional de Medicina Genómica (INMEGEN). México City, México.
Programa de Doctorado en Ciencias Médicas, Odontológicas y de la Salud, Universidad Nacional Autónoma de México (UNAM). Ciudad de México, México.
Gut Microbes. 2022 Jan-Dec;14(1):2111952. doi: 10.1080/19490976.2022.2111952.
The association between the physio-pathological variables of type 2 diabetes (T2D) and gut microbiota composition suggests a new avenue to track the disease and improve the outcomes of pharmacological and non-pharmacological treatments. This enterprise requires new strategies to elucidate the metabolic disturbances occurring in the gut microbiome as the disease progresses. To this end, physiological knowledge and systems biology pave the way for characterizing microbiota and identifying strategies in a move toward healthy compositions. Here, we dissect the recent associations between gut microbiota and T2D. In addition, we discuss recent advances in how drugs, diet, and exercise modulate the microbiome to favor healthy stages. Finally, we present computational approaches for disentangling the metabolic activity underlying host-microbiota codependence. Altogether, we envision that the combination of physiology and computational modeling of microbiota metabolism will drive us to optimize the diagnosis and treatment of T2D patients in a personalized way.
2 型糖尿病(T2D)的生理病理变量与肠道微生物群落组成之间的关联表明,人们可以开辟一条新的途径来跟踪该疾病,并改善药物和非药物治疗的效果。为了实现这一目标,需要新的策略来阐明随着疾病进展而发生在肠道微生物组中的代谢紊乱。为此,生理学知识和系统生物学为描述微生物群落和确定向健康组成转变的策略铺平了道路。在这里,我们剖析了肠道微生物群与 T2D 之间的近期关联。此外,我们还讨论了药物、饮食和运动如何调节微生物群以促进健康阶段的最新进展。最后,我们提出了用于解析宿主-微生物群相互依存关系下代谢活动的计算方法。总的来说,我们设想生理学和微生物群落代谢的计算模型的结合将推动我们以个性化的方式优化 T2D 患者的诊断和治疗。