Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany.
Wallenberg Laboratory, Department of Molecular and Clinical Medicine and Sahlgrenska Center for Cardiovascular and Metabolic Research, University of Gothenburg, Gothenburg, Sweden.
Exp Clin Endocrinol Diabetes. 2022 May;130(5):313-326. doi: 10.1055/a-1756-4509. Epub 2022 Mar 23.
Despite the strongly accumulating evidence for microbial signatures in metabolic tissues, including the blood, suggesting a novel paradigm for metabolic disease development, the notion of a core blood bacterial signature in health and disease remains a contentious concept. Recent studies clearly demonstrate that under a strict contamination-free environment, methods such as 16 S rRNA gene sequencing, fluorescence in-situ hybridization, transmission electron microscopy, and several more, allied with advanced bioinformatics tools, allow unambiguous detection and quantification of bacteria and bacterial DNA in human tissues. Bacterial load and compositional changes in the blood have been reported for numerous disease states, suggesting that bacteria and their components may partially induce systemic inflammation in cardiometabolic disease. This concept has been so far primarily based on measurements of surrogate parameters. It is now highly desirable to translate the current knowledge into diagnostic, prognostic, and therapeutic approaches.This review addresses the potential clinical relevance of a blood bacterial signature pertinent to cardiometabolic diseases and outcomes and new avenues for translational approaches. It discusses pitfalls related to research in low bacterial biomass while proposing mitigation strategies for future research and application approaches.
尽管有大量证据表明微生物特征存在于代谢组织中,包括血液中,这为代谢性疾病的发展提供了一个新的范式,但在健康和疾病中存在核心血液细菌特征的观点仍然存在争议。最近的研究清楚地表明,在严格无污染的环境下,使用 16S rRNA 基因测序、荧光原位杂交、透射电子显微镜等方法,并结合先进的生物信息学工具,可以明确检测和定量人体组织中的细菌和细菌 DNA。已经有大量研究报道了血液中的细菌负荷和组成变化与许多疾病状态相关,表明细菌及其成分可能部分导致代谢性心血管疾病的全身炎症。到目前为止,这一概念主要基于替代参数的测量。现在非常希望将目前的知识转化为诊断、预后和治疗方法。本综述探讨了与代谢性心血管疾病和结局相关的血液细菌特征的潜在临床意义,以及转化方法的新途径。本文讨论了与低细菌生物量研究相关的陷阱,并提出了未来研究和应用方法的缓解策略。