Short-term exposure to antibiotics begets long-term disturbance in gut microbial metabolism and molecular ecological networks.

IF 13.8 1区 生物学 Q1 MICROBIOLOGY Microbiome Pub Date : 2024-05-07 DOI:10.1186/s40168-024-01795-z
Yuehui Hong, Hao Li, Linkang Chen, Hongtian Su, Bin Zhang, Yu Luo, Chengji Li, Zuguo Zhao, Yiming Shao, Lianxian Guo
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Abstract

Background: Antibiotic exposure can occur in medical settings and from environmental sources. Long-term effects of brief antibiotic exposure in early life are largely unknown.

Results: Post a short-term treatment by ceftriaxone to C57BL/6 mice in early life, a 14-month observation was performed using 16S rRNA gene-sequencing technique, metabolomics analysis, and metagenomics analysis on the effects of ceftriaxone exposure. Firstly, the results showed that antibiotic pre-treatment significantly disturbed gut microbial α and β diversities (P < 0.05). Both Chao1 indices and Shannon indices manifested recovery trends over time, but they didn't entirely recover to the baseline of control throughout the experiment. Secondly, antibiotic pre-treatment reduced the complexity of gut molecular ecological networks (MENs). Various network parameters were affected and manifested recovery trends over time with different degrees, such as nodes (P < 0.001, R2 = 0.6563), links (P < 0.01, R2 = 0.4543), number of modules (P = 0.0672, R2 = 0.2523), relative modularity (P = 0.6714, R2 = 0.0155), number of keystones (P = 0.1003, R2 = 0.2090), robustness_random (P = 0.79, R2 = 0.0063), and vulnerability (P = 0.0528, R2 = 0.28). The network parameters didn't entirely recover. Antibiotic exposure obviously reduced the number of key species in gut MENs. Interestingly, new keystones appeared during the recovery process of network complexity. Changes in network stability might be caused by variations in network complexity, which supports the ecological theory that complexity begets stability. Besides, the metabolism profiles of the antibiotic group and control were significantly different. Correlation analysis showed that antibiotic-induced differences in gut microbial metabolism were related to MEN changes. Antibiotic exposure also caused long-term effects on gut microbial functional networks in mice.

Conclusions: These results suggest that short-term antibiotic exposure in early life will cause long-term negative impacts on gut microbial diversity, MENs, and microbial metabolism. Therefore, great concern should be raised about children's brief exposure to antibiotics if the results observed in mice are applicable to humans. Video Abstract.

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短期接触抗生素会导致肠道微生物代谢和分子生态网络长期紊乱。
背景:抗生素暴露可发生在医疗环境和环境来源中。早期短暂接触抗生素的长期影响尚不清楚:结果:采用 16S rRNA 基因测序技术、代谢组学分析和元基因组学分析,对 C57BL/6 小鼠在出生后短期接触头孢曲松的影响进行了为期 14 个月的观察。首先,结果显示抗生素预处理会显著干扰肠道微生物α和β的多样性(P 2 = 0.6563)、联系(P 2 = 0.4543)、模块数(P = 0.0672,R2 = 0.2523)、相对模块性(P = 0.6714,R2 = 0.0155)、基石数量(P = 0.1003,R2 = 0.2090)、鲁棒性_随机性(P = 0.79,R2 = 0.0063)和脆弱性(P = 0.0528,R2 = 0.28)。网络参数并没有完全恢复。抗生素暴露明显减少了肠道 MEN 中关键物种的数量。有趣的是,在网络复杂性恢复过程中出现了新的关键物种。网络稳定性的变化可能是由网络复杂性的变化引起的,这支持了复杂性产生稳定性的生态学理论。此外,抗生素组与对照组的新陈代谢谱有显著差异。相关分析表明,抗生素引起的肠道微生物代谢差异与 MEN 变化有关。抗生素暴露也会对小鼠肠道微生物功能网络产生长期影响:这些结果表明,生命早期短期接触抗生素会对肠道微生物多样性、MENs 和微生物代谢产生长期负面影响。因此,如果在小鼠身上观察到的结果适用于人类,则应高度关注儿童短暂接触抗生素的问题。视频摘要
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来源期刊
Microbiome
Microbiome MICROBIOLOGY-
CiteScore
21.90
自引率
2.60%
发文量
198
审稿时长
4 weeks
期刊介绍: Microbiome is a journal that focuses on studies of microbiomes in humans, animals, plants, and the environment. It covers both natural and manipulated microbiomes, such as those in agriculture. The journal is interested in research that uses meta-omics approaches or novel bioinformatics tools and emphasizes the community/host interaction and structure-function relationship within the microbiome. Studies that go beyond descriptive omics surveys and include experimental or theoretical approaches will be considered for publication. The journal also encourages research that establishes cause and effect relationships and supports proposed microbiome functions. However, studies of individual microbial isolates/species without exploring their impact on the host or the complex microbiome structures and functions will not be considered for publication. Microbiome is indexed in BIOSIS, Current Contents, DOAJ, Embase, MEDLINE, PubMed, PubMed Central, and Science Citations Index Expanded.
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