• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

小鼠急性饮用绿茶后,血浆中绿茶化合物的出现情况受到肠道微生物群的调节。

Appearance of green tea compounds in plasma following acute green tea consumption is modulated by the gut microbiome in mice.

作者信息

Sterrett John D, Quinn Kevin D, Doenges Katrina A, Nusbacher Nichole M, Levens Cassandra L, Armstrong Mike L, Reisdorph Richard M, Smith Harry, Saba Laura M, Kuhn Kristine A, Lozupone Catherine A, Reisdorph Nichole A

机构信息

Department of Integrative Physiology, University of Colorado, Boulder, Colorado, USA.

Interdisciplinary Quantitative Biology, University of Colorado, Boulder, Colorado, USA.

出版信息

Microbiol Spectr. 2025 Feb 4;13(2):e0179924. doi: 10.1128/spectrum.01799-24. Epub 2025 Jan 10.

DOI:10.1128/spectrum.01799-24
PMID:39791884
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11792465/
Abstract

UNLABELLED

Studies have suggested that phytochemicals in green tea have systemic anti-inflammatory and neuroprotective effects. However, the mechanisms behind these effects are poorly understood, possibly due to the differential metabolism of phytochemicals resulting from variations in gut microbiome composition. To unravel this complex relationship, our team utilized a novel combined microbiome analysis and metabolomics approach applied to low complexity microbiome (LCM) and human colonized (HU) gnotobiotic mice treated with an acute dose of powdered matcha green tea. A total of 20 LCM mice received 10 distinct human fecal slurries for an = 2 mice per human gut microbiome; 9 LCM mice remained un-colonized with human slurries throughout the experiment. We performed untargeted metabolomics on green tea and plasma to identify green tea compounds that were found in the plasma of LCM and HU mice that had consumed green tea. 16S ribosomal RNA gene sequencing was performed on feces of all mice at study end to assess microbiome composition. We found multiple green tea compounds in plasma associated with microbiome presence and diversity (including acetylagmatine, lactiflorin, and aspartic acid negatively associated with diversity). Additionally, we detected strong associations between bioactive green tea compounds in plasma and specific gut bacteria, including associations between spiramycin and and between wildforlide and . Notably, some of the physiologically relevant green tea compounds are likely derived from plant-associated microbes, highlighting the importance of considering foods and food products as meta-organisms. Overall, we describe a novel workflow for discovering relationships between individual food compounds and the composition of the gut microbiome.

IMPORTANCE

Foods contain thousands of unique and biologically important compounds beyond the macro- and micro-nutrients listed on nutrition facts labels. In mammals, many of these compounds are metabolized or co-metabolized by the community of microbes in the colon. These microbes may impact the thousands of biologically important compounds we consume; therefore, understanding microbial metabolism of food compounds will be important for understanding how foods impact health. We used metabolomics to track green tea compounds in plasma of mice with and without complex microbiomes. From this, we can start to recognize certain groups of green tea-derived compounds that are impacted by mammalian microbiomes. This research presents a novel technique for understanding microbial metabolism of food-derived compounds in the gut, which can be applied to other foods.

摘要

未标注

研究表明,绿茶中的植物化学物质具有全身抗炎和神经保护作用。然而,这些作用背后的机制尚不清楚,这可能是由于肠道微生物群组成的变化导致植物化学物质的代谢差异所致。为了阐明这种复杂的关系,我们的团队采用了一种新颖的微生物组分析与代谢组学相结合的方法,应用于用急性剂量的抹茶绿茶粉末处理的低复杂性微生物组(LCM)和人定殖(HU)无菌小鼠。总共20只LCM小鼠接受了10种不同的人类粪便悬液,每种人类肠道微生物组有2只小鼠;9只LCM小鼠在整个实验过程中未用人悬液定殖。我们对绿茶和血浆进行了非靶向代谢组学分析,以鉴定在饮用绿茶的LCM和HU小鼠血浆中发现的绿茶化合物。在研究结束时,对所有小鼠的粪便进行16S核糖体RNA基因测序,以评估微生物组组成。我们在血浆中发现了多种与微生物组的存在和多样性相关的绿茶化合物(包括与多样性呈负相关的胍基丁胺、蒙花苷和天冬氨酸)。此外,我们检测到血浆中生物活性绿茶化合物与特定肠道细菌之间有很强的关联,包括螺旋霉素与[具体细菌名称1]之间以及野黄芩苷与[具体细菌名称2]之间的关联。值得注意的是,一些生理相关的绿茶化合物可能来源于与植物相关的微生物,这突出了将食物和食品视为元生物体的重要性。总体而言,我们描述了一种发现单个食物化合物与肠道微生物组组成之间关系的新颖工作流程。

重要性

食物中含有数千种独特且具有生物学重要性的化合物,超出了营养成分标签上列出的宏量和微量营养素。在哺乳动物中,许多这些化合物由结肠中的微生物群落进行代谢或共代谢。这些微生物可能会影响我们摄入的数千种具有生物学重要性的化合物;因此,了解食物化合物的微生物代谢对于理解食物如何影响健康至关重要。我们使用代谢组学来追踪有无复杂微生物组的小鼠血浆中的绿茶化合物。由此,我们可以开始识别某些受哺乳动物微生物组影响的绿茶衍生化合物组。这项研究提出了一种理解肠道中食物衍生化合物微生物代谢的新技术,该技术可应用于其他食物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/dde44041b2de/spectrum.01799-24.f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/04143a62a365/spectrum.01799-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/cd24cc63c049/spectrum.01799-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/e6da74fbb6fa/spectrum.01799-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/582919c3c0a8/spectrum.01799-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/84238d8a2934/spectrum.01799-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/59f09eb60656/spectrum.01799-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/6b67e6ef2040/spectrum.01799-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/dde44041b2de/spectrum.01799-24.f008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/04143a62a365/spectrum.01799-24.f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/cd24cc63c049/spectrum.01799-24.f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/e6da74fbb6fa/spectrum.01799-24.f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/582919c3c0a8/spectrum.01799-24.f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/84238d8a2934/spectrum.01799-24.f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/59f09eb60656/spectrum.01799-24.f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/6b67e6ef2040/spectrum.01799-24.f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/69e9/11792465/dde44041b2de/spectrum.01799-24.f008.jpg

相似文献

1
Appearance of green tea compounds in plasma following acute green tea consumption is modulated by the gut microbiome in mice.小鼠急性饮用绿茶后,血浆中绿茶化合物的出现情况受到肠道微生物群的调节。
Microbiol Spectr. 2025 Feb 4;13(2):e0179924. doi: 10.1128/spectrum.01799-24. Epub 2025 Jan 10.
2
Appearance of green tea compounds in plasma following acute green tea consumption is modulated by the gut microbiome in mice.小鼠急性饮用绿茶后,血浆中绿茶化合物的出现受肠道微生物群的调节。
bioRxiv. 2024 Nov 13:2024.07.11.603097. doi: 10.1101/2024.07.11.603097.
3
Microbial transfer through fecal strings on eggs affects leaf beetle microbiome dynamics.通过虫卵上的粪便丝进行的微生物转移影响叶甲的微生物组动态。
mSystems. 2025 Jun 17;10(6):e0172324. doi: 10.1128/msystems.01723-24. Epub 2025 May 13.
4
The impact of early-life exposures on growth and adult gut microbiome composition is dependent on genetic strain and parent- of- origin.生命早期暴露对生长和成年肠道微生物群组成的影响取决于遗传菌株和亲本来源。
Microbiome. 2025 Jun 16;13(1):143. doi: 10.1186/s40168-025-02130-w.
5
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.慢性斑块状银屑病的全身药理学治疗:一项网状荟萃分析。
Cochrane Database Syst Rev. 2017 Dec 22;12(12):CD011535. doi: 10.1002/14651858.CD011535.pub2.
6
Integrated multi-omics analysis reveals the functional signature of microbes and metabolomics in pre-diabetes individuals.综合多组学分析揭示了糖尿病前期个体中微生物和代谢组学的功能特征。
Microbiol Spectr. 2025 Jul;13(7):e0145924. doi: 10.1128/spectrum.01459-24. Epub 2025 Jun 9.
7
Proteomic and -glycomic comparison of synthetic and bovine whey proteins and their effect on human gut microbiomes .合成乳清蛋白与牛乳清蛋白的蛋白质组学和糖组学比较及其对人体肠道微生物群的影响
Microbiol Spectr. 2025 Jun 26:e0020025. doi: 10.1128/spectrum.00200-25.
8
Systemic pharmacological treatments for chronic plaque psoriasis: a network meta-analysis.系统性药理学治疗慢性斑块状银屑病:网络荟萃分析。
Cochrane Database Syst Rev. 2021 Apr 19;4(4):CD011535. doi: 10.1002/14651858.CD011535.pub4.
9
Can a Liquid Biopsy Detect Circulating Tumor DNA With Low-passage Whole-genome Sequencing in Patients With a Sarcoma? A Pilot Evaluation.液体活检能否通过低深度全基因组测序检测肉瘤患者的循环肿瘤DNA?一项初步评估。
Clin Orthop Relat Res. 2025 Jan 1;483(1):39-48. doi: 10.1097/CORR.0000000000003161. Epub 2024 Jun 21.
10
Systemic treatments for metastatic cutaneous melanoma.转移性皮肤黑色素瘤的全身治疗
Cochrane Database Syst Rev. 2018 Feb 6;2(2):CD011123. doi: 10.1002/14651858.CD011123.pub2.

引用本文的文献

1
Prebiotic Potential of Dietary Polyphenols in Colorectal Cancer Immunomodulation.膳食多酚在结直肠癌免疫调节中的益生元潜力
Foods. 2025 Jul 7;14(13):2392. doi: 10.3390/foods14132392.

本文引用的文献

1
Metabolomics Profiling of White Button, Crimini, Portabella, Lion's Mane, Maitake, Oyster, and Shiitake Mushrooms Using Untargeted Metabolomics and Targeted Amino Acid Analysis.使用非靶向代谢组学和靶向氨基酸分析对白蘑菇、褐蘑菇、大褐菇、猴头菇、舞茸、平菇和香菇进行代谢组学分析。
Foods. 2023 Aug 8;12(16):2985. doi: 10.3390/foods12162985.
2
Characteristics of gut microbiota in patients with metabolic associated fatty liver disease.代谢相关脂肪性肝病患者的肠道微生物特征。
Sci Rep. 2023 Jun 20;13(1):9988. doi: 10.1038/s41598-023-37163-4.
3
Multi-Omics Analysis of Lung Tissue Demonstrates Changes to Lipid Metabolism during Allergic Sensitization in Mice.
小鼠肺组织的多组学分析揭示了变应性致敏过程中脂质代谢的变化。
Metabolites. 2023 Mar 9;13(3):406. doi: 10.3390/metabo13030406.
4
: An R Package for Improving Color Accessibility and Organization of Microbiome Data.一个用于改善微生物组数据颜色可及性和组织性的R软件包。
Microbiol Resour Announc. 2022 Nov 17;11(11):e0079522. doi: 10.1128/mra.00795-22. Epub 2022 Oct 31.
5
Network pharmacology-based prediction of inhibiting leukocyte recruitment and angiogenesis of total glucosides of peony against rheumatoid arthritis.基于网络药理学预测丹皮总苷抑制白细胞募集和血管生成治疗类风湿关节炎。
Ann Palliat Med. 2022 Oct;11(10):3085-3101. doi: 10.21037/apm-21-2203. Epub 2022 Sep 27.
6
Exploring tea (Camellia sinensis) microbiome: Insights into the functional characteristics and their impact on tea growth promotion.探索茶(Camellia sinensis)微生物组:深入了解其功能特性及其对茶叶生长促进的影响。
Microbiol Res. 2022 Jan;254:126890. doi: 10.1016/j.micres.2021.126890. Epub 2021 Oct 9.
7
Lipidomics-Based Comparison of Molecular Compositions of Green, Yellow, and Red Bell Peppers.基于脂质组学的青、黄、红甜椒分子组成比较
Metabolites. 2021 Apr 14;11(4):241. doi: 10.3390/metabo11040241.
8
Bacterial Gamma-Glutamyl Transpeptidase, an Emerging Biocatalyst: Insights Into Structure-Function Relationship and Its Biotechnological Applications.细菌γ-谷氨酰转肽酶:一种新兴的生物催化剂——对结构-功能关系及其生物技术应用的见解
Front Microbiol. 2021 Apr 9;12:641251. doi: 10.3389/fmicb.2021.641251. eCollection 2021.
9
Analysis of compositions of microbiomes with bias correction.具有偏置校正的微生物组组成分析。
Nat Commun. 2020 Jul 14;11(1):3514. doi: 10.1038/s41467-020-17041-7.
10
Beneficial Properties of Green Tea Catechins.绿茶儿茶素的有益特性。
Int J Mol Sci. 2020 Mar 4;21(5):1744. doi: 10.3390/ijms21051744.