开发婴儿结肠模拟体外模型 I-TIM-2,研究调节策略对婴儿肠道微生物群组成和功能的影响。

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
Microbiology spectrum Pub Date : 2024-11-05 Epub Date: 2024-10-08 DOI:10.1128/spectrum.00724-24
Olivia Colberg, Gerben D A Hermes, Tine Rask Licht, Anita Wichmann, Adam Baker, Martin Frederik Laursen, Anja Wellejus
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引用次数: 0

摘要

生命早期阶段对于肠道微生物组的发育至关重要。抗生素暴露、剖腹产分娩方式和配方奶喂养等变量与微生物组的发育紊乱有关,并与日后对健康的不良影响相关。研究微生物组调节策略对婴儿的影响受到适当的伦理限制。因此,我们开发了 I-TIM-2--一种婴儿体外结肠模型,它以经过验证的计算机控制结肠动态模型 TIM-2 为基础。该系统由四个独立的隔间组成,接种了四个主要以母乳喂养为主的健康婴儿的粪便,这些婴儿的微生物群特征各不相同。对每个婴儿的粪便样本都进行了 96 小时的实验,其中两个分区接受婴儿饮食适应培养基,另外两个分区接受生理浓度和比例的五种人乳寡糖(HMO)。细菌组成是通过枪式元基因组学和 qPCR 确定的。通过 LC-MS 测定了短链脂肪酸 (SCFA) 和 HMOs 的浓度。在每次实验中,模型中都保留了微生物多样性和大量接种物衍生物种。微生物组的组成和 SCFA 浓度与已发表的婴儿数据一致。HMO 通过刺激双歧杆菌的相对比例,强烈调节了微生物组的组成。这影响了新陈代谢的输出,导致乙酸和甲酸的产生增加,这是双歧杆菌 HMO 代谢的特点。重要意义婴儿肠道微生物群与其宿主的健康密切相关。婴儿肠道微生物组与宿主的健康息息相关,这部分是通过细菌产生的代谢物与宿主细胞相互作用来实现的。母乳中含有的人乳糖主要选择双歧杆菌,因此它决定了婴儿肠道微生物群的建立。配方奶喂养等现代干预措施可能会破坏微生物群的建立。这会改变微生物组的组成和代谢产物的产生情况,从而影响宿主。在本文中,我们建立了一个婴儿体外结肠模型来研究微生物组的相互作用和功能。在该模型中,我们研究了人乳糖的影响及其促进双歧杆菌而牺牲其他细菌的作用。该模型是评估各种调节策略对婴儿肠道微生物组及其与宿主相互作用的影响的理想系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of an infant colon simulating in vitro model, I-TIM-2, to study the effects of modulation strategies on the infant gut microbiome composition and function.

The early life stages are critical for the development of the gut microbiome. Variables such as antibiotics exposure, birth-mode via Cesarean section, and formula feeding are associated with disruptions in microbiome development and are related to adverse health effects later in life. Studying the effects of microbiome-modulating strategies in infants is challenged by appropriate ethical constraints. Therefore, we developed I-TIM-2, an infant in vitro colonic model based on the validated, computer-controlled, dynamic model of the colon, TIM-2. The system, consisting of four separate compartments, was inoculated with feces from four healthy, primarily breastfed infants, displaying distinctive microbiome profiles. For each infant's fecal sample, a 96-h experiment was performed, with two compartments receiving an infant diet adapted medium and two compartments additionally receiving five human milk oligosaccharides (HMOs) in physiological concentrations and proportions. Bacterial composition was determined by shotgun metagenomics and qPCR. Concentrations of short-chain fatty acids (SCFAs) and HMOs were determined by LC-MS. Microbial diversity and high amounts of inoculum-derived species were preserved in the model throughout each experiment. Microbiome composition and SCFA concentrations were consistent with published data from infants. HMOs strongly modulated the microbiome composition by stimulating relative proportions of Bifidobacterium. This affected the metabolic output and resulted in an increased production of acetic and formic acid, characteristic of bifidobacterial HMO metabolism. In conclusion, these data demonstrate the development of a valid model to study the dynamics and modulations of the infant gut microbiome and metabolome.IMPORTANCEThe infant gut microbiome is intricately linked to the health of its host. This is partly mediated through the bacterial production of metabolites that interact with the host cells. Human milk shapes the establishment of the infant gut microbiome as it contains human milk sugars that select for primarily bifidobacteria. The establishment can be disrupted by modern interventions such as formula feeding. This can alter the microbiome composition and metabolite production profile, which can affect the host. In this article, we set up an infant in vitro colonic model to study microbiome interactions and functions. In this model, we investigated the effects of human milk sugars and their promotion of bifidobacteria at the expense of other bacteria. The model is an ideal system to assess the effects of various modulating strategies on the infant gut microbiome and its interactions with its host.

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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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