The emergence of high‐throughput technologies for the comprehensive measurement of biomolecules, also referred to as “omics” technologies, has helped us gather “big data” and characterize microbial communities. In this article, we focus on metaproteomic and metabolomic approaches that support hypothesis‐driven investigations on various oral biologic samples. Proteomics reveals the working units of the oral milieu and metabolomics unveils the reactions taking place; and so these complementary techniques can unravel the functionality and underlying regulatory processes within various oral microbial communities. Current knowledge of the proteomic interplay and metabolic interactions of microorganisms within oral biofilm and salivary microbiome communities is presented and discussed, from both clinical and basic research perspectives. Communities indicative of, or from, health, caries, periodontal diseases, and endodontic lesions are represented. Challenges, future prospects, and examples of best practice are given.

中文翻译：

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口腔微生物群落的代谢组学和代谢组学

用于生物分子综合测量的高通量技术的出现，也称为“组学”技术，已帮助我们收集“大数据”并表征了微生物群落。在本文中，我们重点介绍支持各种口腔生物学样品的假设驱动研究的元蛋白质组学和代谢组学方法。蛋白质组学揭示了口腔环境的工作单位，而代谢组学则揭示了发生的反应。因此，这些互补技术可以揭示各种口腔微生物群落中的功能和潜在的调控过程。从临床和基础研究的角度介绍和讨论了口腔生物膜和唾液微生物组中微生物的蛋白质组相互作用和代谢相互作用的最新知识。代表或来自健康，龋齿，牙周疾病和牙髓病病变的社区都在这里。给出了挑战，未来前景和最佳实践的例子。