Department of Soil, Plant and Food Science, Aldo Moro University, Bari, Via G. Amendola 165/a, 70126 Bari, Italy.
INRAE, UNH, Metabolism Exploration Platform, MetaboHUB Clermont, Clermont Auvergne University, F-63000 Clermont-Ferrand, France.
Nutrients. 2021 Dec 23;14(1):47. doi: 10.3390/nu14010047.
Low-grade inflammatory diseases revealed metabolic perturbations that have been linked to various phenotypes, including gut microbiota dysbiosis. In the last decade, metaproteomics has been used to investigate protein composition profiles at specific steps and in specific healthy/pathologic conditions. We applied a rigorous protocol that relied on PRISMA guidelines and filtering criteria to obtain an exhaustive study selection that finally resulted in a group of 10 studies, based on metaproteomics and that aim at investigating obesity and diabetes. This batch of studies was used to discuss specific microbial and human metaproteome alterations and metabolic patterns in subjects affected by diabetes (T1D and T2D) and obesity. We provided the main up- and down-regulated protein patterns in the inspected pathologies. Despite the available results, the evident paucity of metaproteomic data is to be considered as a limiting factor in drawing objective considerations. To date, ad hoc prepared metaproteomic databases collecting pathologic data and related metadata, together with standardized analysis protocols, are required to increase our knowledge on these widespread pathologies.
低度炎症性疾病揭示了代谢紊乱，这些紊乱与各种表型有关，包括肠道微生物失调。在过去的十年中，代谢蛋白质组学已被用于研究特定步骤和特定健康/病理条件下的蛋白质组成谱。我们应用了严格的方案，该方案依赖于 PRISMA 指南和筛选标准，以获得详尽的研究选择，最终基于代谢蛋白质组学，选择了 10 项研究，这些研究旨在研究肥胖和糖尿病。这批研究用于讨论受糖尿病（T1D 和 T2D）和肥胖影响的受试者中特定微生物和人类代谢蛋白质组的改变和代谢模式。我们提供了检查病理中上调和下调的主要蛋白质模式。尽管有了这些结果，但代谢蛋白质组学数据的明显缺乏仍被认为是在得出客观结论方面的一个限制因素。迄今为止，需要专门准备收集病理数据和相关元数据的代谢蛋白质组数据库，并结合标准化分析方案，以增加我们对这些广泛存在的疾病的了解。
