Koduru Lokanand, Lakshmanan Meiyappan, Hoon Shawn, Lee Dong-Yup, Lee Yuan Kun, Ow Dave Siak-Wei
Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Bioprocessing Technology Institute, Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.
Front Microbiol. 2022 Mar 3;13:846555. doi: 10.3389/fmicb.2022.846555. eCollection 2022.
The incidence and prevalence of inflammatory disorders have increased globally, and is projected to double in the next decade. Gut microbiome-based therapeutics have shown promise in ameliorating chronic inflammation. However, they are largely experimental, context- or strain-dependent and lack a clear mechanistic basis. This hinders precision probiotics and poses significant risk, especially to individuals with pre-existing conditions. Molecules secreted by gut microbiota act as ligands to several health-relevant receptors expressed in human gut, such as the G-protein coupled receptors (GPCRs), Toll-like receptor 4 (TLR4), pregnane X receptor (PXR), and aryl hydrocarbon receptor (AhR). Among these, the human AhR expressed in different tissues exhibits anti-inflammatory effects and shows activity against a wide range of ligands produced by gut bacteria. However, different AhR ligands induce varying host responses and signaling in a tissue/organ-specific manner, which remain mostly unknown. The emerging systems biology paradigm, with its powerful tool repertoire, provides opportunities for comprehensive and high-throughput strain characterization. In particular, combining metabolic models with machine learning tools can be useful to delineate tissue and ligand-specific signaling and thus their causal mechanisms in disease and health. The knowledge of such a mechanistic basis is indispensable to account for strain heterogeneity and actualize precision probiotics.
炎症性疾病的发病率和患病率在全球范围内都有所上升,预计在未来十年将翻倍。基于肠道微生物群的疗法在改善慢性炎症方面已显示出前景。然而,它们大多处于实验阶段,依赖于具体情况或菌株,并且缺乏明确的作用机制基础。这阻碍了精准益生菌的发展,并带来了重大风险,尤其是对已有疾病的个体。肠道微生物群分泌的分子可作为配体,作用于人类肠道中表达的几种与健康相关的受体,如G蛋白偶联受体(GPCRs)、Toll样受体4(TLR4)、孕烷X受体(PXR)和芳烃受体(AhR)。其中,在不同组织中表达的人类AhR具有抗炎作用,并对肠道细菌产生的多种配体具有活性。然而,不同的AhR配体以组织/器官特异性方式诱导不同的宿主反应和信号传导,而这些大多仍不为人知。新兴的系统生物学范式及其强大的工具库,为全面和高通量的菌株表征提供了机会。特别是,将代谢模型与机器学习工具相结合,有助于描绘组织和配体特异性信号传导,从而揭示它们在疾病和健康中的因果机制。了解这样的作用机制基础对于解释菌株异质性和实现精准益生菌至关重要。