Di Carlo Paola, Serra Nicola, Alduina Rosa, Guarino Riccardo, Craxì Antonio, Giammanco Anna, Fasciana Teresa, Cascio Antonio, Sergi Consolato M
Department of Health Promotion, Maternal-Childhood, Internal Medicine of Excellence G. D'Alessandro, Section of Infectious Disease, University of Palermo, Palermo, Italy.
Department of Public Health, University "Federico II", Naples, Italy.
Front Physiol. 2022 Aug 30;13:888233. doi: 10.3389/fphys.2022.888233. eCollection 2022.
Microbiotas are the range of microorganisms (mainly bacteria and fungi) colonizing multicellular, macroscopic organisms. They are crucial for several metabolic functions affecting the health of the host. However, difficulties hamper the investigation of microbiota composition in cultivating microorganisms in standard growth media. For this reason, our knowledge of microbiota can benefit from the analysis of microbial macromolecules (DNA, transcripts, proteins, or by-products) present in various samples collected from the host. Various omics technologies are used to obtain different data. Metagenomics provides a taxonomical profile of the sample. It can also be used to obtain potential functional information. At the same time, metatranscriptomics can characterize members of a microbiome responsible for specific functions and elucidate genes that drive the microbiotas relationship with its host. Thus, while microbiota refers to microorganisms living in a determined environment (taxonomy of microorganisms identified), microbiome refers to the microorganisms and their genes living in a determined environment and, of course, metagenomics focuses on the genes and collective functions of identified microorganisms. Metabolomics completes this framework by determining the metabolite fluxes and the products released into the environment. The gallbladder is a sac localized under the liver in the human body and is difficult to access for bile and tissue sampling. It concentrates the bile produced in the hepatocytes, which drains into bile canaliculi. Bile promotes fat digestion and is released from the gallbladder into the upper small intestine in response to food. Considered sterile originally, recent data indicate that bile microbiota is associated with the biliary tract's inflammation and carcinogenesis. The sample size is relevant for omic studies of rare diseases, such as gallbladder carcinoma. Although in its infancy, the study of the biliary microbiota has begun taking advantage of several omics strategies, mainly based on metagenomics, metabolomics, and mouse models. Here, we show that omics analyses from the literature may provide a more comprehensive image of the biliary microbiota. We review studies performed in this environmental niche and focus on network-based approaches for integrative studies.
微生物群是定殖于多细胞宏观生物体的一系列微生物(主要是细菌和真菌)。它们对于影响宿主健康的多种代谢功能至关重要。然而,在标准生长培养基中培养微生物时,存在一些困难阻碍了对微生物群组成的研究。因此,我们对微生物群的了解可受益于对从宿主采集的各种样本中存在的微生物大分子(DNA、转录本、蛋白质或副产物)的分析。各种组学技术用于获取不同的数据。宏基因组学提供样本的分类概况。它还可用于获取潜在的功能信息。同时,宏转录组学可以表征负责特定功能的微生物群落成员,并阐明驱动微生物群与其宿主关系的基因。因此,虽然微生物群是指生活在特定环境中的微生物(已鉴定的微生物分类学),但微生物组是指生活在特定环境中的微生物及其基因,当然,宏基因组学侧重于已鉴定微生物的基因和集体功能。代谢组学通过确定代谢物通量和释放到环境中的产物来完善这一框架。胆囊是人体肝脏下方的一个囊袋,很难获取胆汁和组织样本。它浓缩肝细胞产生的胆汁,胆汁排入胆小管。胆汁促进脂肪消化,并在进食时从胆囊释放到小肠上段。胆囊最初被认为是无菌的,但最近的数据表明,胆汁微生物群与胆道炎症和癌变有关。样本量对于胆囊癌等罕见疾病的组学研究很重要。尽管胆道微生物群的研究尚处于起步阶段,但已经开始利用多种组学策略,主要基于宏基因组学、代谢组学和小鼠模型。在这里,我们表明,文献中的组学分析可能会提供更全面的胆道微生物群图像。我们回顾了在这个生态位进行的研究,并重点关注基于网络的综合研究方法。