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整合宏基因组学和代谢组学探索成年癫痫患者肠道微生物群与血清代谢物之间的变化及相关性:一项初步研究。

Integrated Macrogenomics and Metabolomics Explore Alterations and Correlation between Gut Microbiota and Serum Metabolites in Adult Epileptic Patients: A Pilot Study.

作者信息

Zhou Kaiping, Jia Lijing, Mao Zhuofeng, Si Peipei, Sun Can, Qu Zhenzhen, Wang Weiping

机构信息

Key Laboratory of Neurology of Hebei Province, Department of Neurology, The Second Hospital of Hebei Medical University, Shijiazhuang 050004, China.

Department of Neurology, Peking University Third Hospital, Beijing 100080, China.

出版信息

Microorganisms. 2023 Oct 25;11(11):2628. doi: 10.3390/microorganisms11112628.


DOI:10.3390/microorganisms11112628
PMID:38004640
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10672912/
Abstract

Epilepsy (EP) is a complex brain disorder showing a lot of unknows reasons. Recent studies showed that gut microbiota can influence epilepsy via the brain-gut axis. Nevertheless, the mechanism by which gut microbiota affects adult epilepsy still remains unclear. In this study, fecal and serum samples were obtained from patients with epilepsy and normal controls. Using an integrated analysis, sequencing was performed by macrogenomics and high-throughput targeted metabolomics with various bioinformatics approaches. The macrogenomic sequencing revealed significant changes in microbial structure in patients suffering from epilepsy. For example, at the phylum level, the relative abundance of Actinobacteria, Bacteroidetes and Proteobacteria showed an increase in the patients with epilepsy, whereas that of Firmicutes decreased. In addition, the patients with epilepsy had significantly differential metabolite profiles compared to normal controls, and five clusters with 21 metabolites, mainly containing the upregulation of some fatty acids and downregulation of some amino acids. Tryptophan (AUC = 91.81, < 0.0001), kynurenine (AUC = 79.09, < 0.01) and 7Z,10Z,13Z,16Z-Docosatetraenoic acid (AUC = 80.95, < 0.01) may be used as potential diagnostic markers for epilepsy. Differential serum metabolites have effects on tryptophan metabolism, iron death and other pathways. Furthermore, a multiomic joint analysis observed a statistically significant correlation between the differential flora and the differential serum metabolites. In our findings, a macrogenomic analysis revealed the presence of dysregulated intestinal flora species and function in adult epileptic patients. Deeper metabolomic analyses revealed differences in serum metabolites between patients with epilepsy and healthy populations. Meanwhile, the multiomic combination showed connection between the gut microbes and circulating metabolites in the EP patients, which may be potential therapeutic targets.

摘要

癫痫(EP)是一种复杂的脑部疾病,其发病原因诸多尚不明确。近期研究表明,肠道微生物群可通过脑-肠轴影响癫痫。然而,肠道微生物群影响成人癫痫的机制仍不清楚。在本研究中,采集了癫痫患者和正常对照者的粪便和血清样本。采用综合分析方法,通过宏基因组学测序和高通量靶向代谢组学结合多种生物信息学方法进行检测。宏基因组测序显示癫痫患者的微生物结构有显著变化。例如,在门水平上,放线菌门、拟杆菌门和变形菌门在癫痫患者中的相对丰度增加,而厚壁菌门的相对丰度降低。此外,与正常对照相比,癫痫患者具有显著不同的代谢物谱,有五个包含21种代谢物的聚类,主要表现为一些脂肪酸上调和一些氨基酸下调。色氨酸(AUC = 91.81,< 0.0001)、犬尿氨酸(AUC = 79.09,< 0.01)和7Z,10Z,13Z,16Z-二十二碳四烯酸(AUC = 80.95,< 0.01)可能作为癫痫的潜在诊断标志物。差异血清代谢物对色氨酸代谢、铁死亡等通路有影响。此外,多组学联合分析观察到差异菌群与差异血清代谢物之间存在统计学显著相关性。在我们的研究结果中,宏基因组分析揭示了成年癫痫患者肠道菌群种类和功能失调。更深入的代谢组学分析揭示了癫痫患者与健康人群血清代谢物的差异。同时,多组学联合显示癫痫患者肠道微生物与循环代谢物之间的联系,这可能是潜在的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/637303eafaaa/microorganisms-11-02628-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/34b924cc4656/microorganisms-11-02628-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/7276e2888927/microorganisms-11-02628-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/1b9b6e637067/microorganisms-11-02628-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/8a475d28d7a0/microorganisms-11-02628-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/4f5c91558279/microorganisms-11-02628-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/825b582243ea/microorganisms-11-02628-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/637303eafaaa/microorganisms-11-02628-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/34b924cc4656/microorganisms-11-02628-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/7276e2888927/microorganisms-11-02628-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/1b9b6e637067/microorganisms-11-02628-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/8a475d28d7a0/microorganisms-11-02628-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/4f5c91558279/microorganisms-11-02628-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/825b582243ea/microorganisms-11-02628-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70cc/10672912/637303eafaaa/microorganisms-11-02628-g007.jpg

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本文引用的文献

[1]
Gut Microbiota Metabolites Mediate Bax to Reduce Neuronal Apoptosis via cGAS/STING Axis in Epilepsy.

Mol Neurobiol. 2024-12

[2]
Effects of probiotics on GABA/glutamate and oxidative stress in PTZ- induced acute seizure model in rats.

Epilepsy Res. 2023-9

[3]
Beneficial Effects of Probiotic in a Lithium-Pilocarpine Model of Temporal Lobe Epilepsy in Rats.

Int J Mol Sci. 2023-5-8

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Roles of gut microbiome in epilepsy risk: A Mendelian randomization study.

Front Microbiol. 2023-2-27

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The gut microbiota in multiple sclerosis varies with disease activity.

Genome Med. 2023-1-5

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