• 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

整合多个分析数据集以比较小鼠结肠盲肠内容物和粪便的代谢物谱。

Integrating Multiple Analytical Datasets to Compare Metabolite Profiles of Mouse Colonic-Cecal Contents and Feces.

作者信息

Zeng Huawei, Grapov Dmitry, Jackson Matthew I, Fahrmann Johannes, Fiehn Oliver, Combs Gerald F

机构信息

Grand Forks Human Nutrition Research Center, Agricultural Research Service, United States Department of Agriculture, Grand Forks, ND 58203, USA.

West Coast Metabolomics Center, University of California, Davis, CA 95616, USA.

出版信息

Metabolites. 2015 Sep 11;5(3):489-501. doi: 10.3390/metabo5030489.

DOI:10.3390/metabo5030489
PMID:26378591
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4588808/
Abstract

The pattern of metabolites produced by the gut microbiome comprises a phenotype indicative of the means by which that microbiome affects the gut. We characterized that phenotype in mice by conducting metabolomic analyses of the colonic-cecal contents, comparing that to the metabolite patterns of feces in order to determine the suitability of fecal specimens as proxies for assessing the metabolic impact of the gut microbiome. We detected a total of 270 low molecular weight metabolites in colonic-cecal contents and feces by gas chromatograph, time-of-flight mass spectrometry (GC-TOF) and ultra-high performance liquid chromatography, quadrapole time-of-flight mass spectrometry (UPLC-Q-TOF). Of that number, 251 (93%) were present in both types of specimen, representing almost all known biochemical pathways related to the amino acid, carbohydrate, energy, lipid, membrane transport, nucleotide, genetic information processing, and cancer-related metabolism. A total of 115 metabolites differed significantly in relative abundance between both colonic-cecal contents and feces. These data comprise the first characterization of relationships among metabolites present in the colonic-cecal contents and feces in a healthy mouse model, and shows that feces can be a useful proxy for assessing the pattern of metabolites to which the colonic mucosum is exposed.

摘要

肠道微生物群产生的代谢物模式构成了一种表型,该表型指示了该微生物群影响肠道的方式。我们通过对结肠-盲肠内容物进行代谢组学分析来表征小鼠的这种表型,并将其与粪便的代谢物模式进行比较,以确定粪便标本作为评估肠道微生物群代谢影响的替代物的适用性。我们通过气相色谱-飞行时间质谱(GC-TOF)和超高效液相色谱-四极杆飞行时间质谱(UPLC-Q-TOF)在结肠-盲肠内容物和粪便中总共检测到270种低分子量代谢物。其中,251种(93%)在两种类型的标本中都存在,几乎代表了所有与氨基酸、碳水化合物、能量、脂质、膜转运、核苷酸、遗传信息处理和癌症相关代谢有关的已知生化途径。结肠-盲肠内容物和粪便之间共有115种代谢物的相对丰度存在显著差异。这些数据首次表征了健康小鼠模型中结肠-盲肠内容物和粪便中存在的代谢物之间的关系,并表明粪便可以作为评估结肠黏膜所接触的代谢物模式的有用替代物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/77f37b1bd312/metabolites-05-00489-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/9b1b8b879217/metabolites-05-00489-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/2ee8fad935f8/metabolites-05-00489-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/2fd5f82172fd/metabolites-05-00489-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/77f37b1bd312/metabolites-05-00489-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/9b1b8b879217/metabolites-05-00489-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/2ee8fad935f8/metabolites-05-00489-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/2fd5f82172fd/metabolites-05-00489-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66f2/4588808/77f37b1bd312/metabolites-05-00489-g004.jpg

相似文献

1
Integrating Multiple Analytical Datasets to Compare Metabolite Profiles of Mouse Colonic-Cecal Contents and Feces.整合多个分析数据集以比较小鼠结肠盲肠内容物和粪便的代谢物谱。
Metabolites. 2015 Sep 11;5(3):489-501. doi: 10.3390/metabo5030489.
2
Colonic Absorption of Low-Molecular-Weight Metabolites Influenced by the Intestinal Microbiome: A Pilot Study.肠道微生物群影响下低分子量代谢产物的结肠吸收:一项初步研究。
PLoS One. 2017 Jan 25;12(1):e0169207. doi: 10.1371/journal.pone.0169207. eCollection 2017.
3
Dietary fat and gut microbiota interactions determine diet-induced obesity in mice.膳食脂肪和肠道微生物群的相互作用决定了小鼠的饮食诱导肥胖。
Mol Metab. 2016 Oct 13;5(12):1162-1174. doi: 10.1016/j.molmet.2016.10.001. eCollection 2016 Dec.
4
Microbiome-metabolomic analysis of the impact of Zizyphus jujuba cv. Muzao polysaccharides consumption on colorectal cancer mice fecal microbiota and metabolites.枣属植物多糖对结直肠癌小鼠粪便微生物群和代谢物影响的微生物组-代谢组分析。
Int J Biol Macromol. 2019 Jun 15;131:1067-1076. doi: 10.1016/j.ijbiomac.2019.03.175. Epub 2019 Mar 26.
5
Metabolites characterization of a novel DPP-4 inhibitor, imigliptin in humans and rats using ultra-high performance liquid chromatography coupled with synapt high-resolution mass spectrometry.采用超高效液相色谱-同步串联高分辨质谱联用技术对新型 DPP-4 抑制剂伊格列净在人体和大鼠体内的代谢产物进行表征。
J Pharm Biomed Anal. 2018 Aug 5;157:189-200. doi: 10.1016/j.jpba.2018.05.029. Epub 2018 May 23.
6
Metabolites characterization of chamaechromone in vivo and in vitro by using ultra-performance liquid chromatography/Xevo G2 quadrupole time-of-flight tandem mass spectrometry.采用超高效液相色谱/Xevo G2 四重极杆飞行时间串联质谱法对体内和体外香叶木酮的代谢产物进行表征。
J Ethnopharmacol. 2014;151(1):242-52. doi: 10.1016/j.jep.2013.10.027. Epub 2013 Nov 1.
7
Characterization of TPN729 metabolites in humans using ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry.使用超高效液相色谱/四极杆飞行时间质谱法对人体中TPN729代谢物进行表征。
J Pharm Biomed Anal. 2016 Jan 5;117:217-26. doi: 10.1016/j.jpba.2015.09.001. Epub 2015 Sep 3.
8
Characterization of ginsenoside compound K metabolites in rat urine and feces by ultra-performance liquid chromatography with electrospray ionization quadrupole time-of-flight tandem mass spectrometry.采用超高效液相色谱-电喷雾电离四极杆飞行时间串联质谱法对大鼠尿液和粪便中人参皂苷Compound K代谢产物进行表征分析。
Biomed Chromatogr. 2019 Nov;33(11):e4643. doi: 10.1002/bmc.4643. Epub 2019 Aug 12.
9
Screening of Intestinal Bacterial Metabolites of Platycodin D Using Ultra-Performance Liquid Chromatography/Quadrupole Time-of-Flight Mass Spectrometry.采用超高效液相色谱/四极杆飞行时间质谱法筛选桔梗皂苷D的肠道细菌代谢产物
Am J Chin Med. 2016;44(4):817-33. doi: 10.1142/S0192415X16500452. Epub 2016 May 24.
10
Application of ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry to determine the metabolites of orientin produced by human intestinal bacteria.超高效液相色谱-四极杆飞行时间质谱联用测定人肠道菌产生的荭草苷代谢物。
J Chromatogr B Analyt Technol Biomed Life Sci. 2014 Jan 1;944:123-7. doi: 10.1016/j.jchromb.2013.11.002. Epub 2013 Nov 11.

引用本文的文献

1
Differential effects of electroacupuncture and manual acupuncture on spontaneously hypertensive rats: insights from intestinal microbiota and metabolomics.电针与手针治疗对自发性高血压大鼠的不同影响:来自肠道微生物群和代谢组学的见解
Front Mol Biosci. 2025 Jul 8;12:1619356. doi: 10.3389/fmolb.2025.1619356. eCollection 2025.
2
Dietary resistant starch supplementation increases gut luminal deoxycholic acid abundance in mice.膳食补充抗性淀粉可增加小鼠肠道腔内脱氧胆酸的含量。
Gut Microbes. 2024 Jan-Dec;16(1):2315632. doi: 10.1080/19490976.2024.2315632. Epub 2024 Feb 20.
3
Maternal separation leads to dynamic changes of visceral hypersensitivity and fecal metabolomics from childhood to adulthood.

本文引用的文献

1
Diet, microbiota, and colorectal cancer.饮食、微生物群与结直肠癌。
J Clin Gastroenterol. 2014 Nov-Dec;48 Suppl 1:S67-9. doi: 10.1097/MCG.0000000000000252.
2
Obesity, inflammation, and the gut microbiota.肥胖、炎症与肠道微生物群。
Lancet Diabetes Endocrinol. 2015 Mar;3(3):207-15. doi: 10.1016/S2213-8587(14)70134-2. Epub 2014 Jul 22.
3
Minireview: Gut microbiota: the neglected endocrine organ.综述:肠道微生物群:被忽视的内分泌器官。
母体分离导致内脏敏感性和粪便代谢组学从儿童期到成年期的动态变化。
Sci Rep. 2023 May 11;13(1):7670. doi: 10.1038/s41598-023-34792-7.
4
Characteristics of intestinal microbiota in C57BL/6 mice with non-alcoholic fatty liver induced by high-fat diet.高脂饮食诱导的C57BL/6非酒精性脂肪肝小鼠肠道微生物群特征
Front Microbiol. 2022 Dec 22;13:1051200. doi: 10.3389/fmicb.2022.1051200. eCollection 2022.
5
Metabolomics activity screening of T cell-induced colitis reveals anti-inflammatory metabolites.T 细胞诱导结肠炎的代谢组学活性筛选揭示了抗炎代谢物。
Sci Signal. 2021 Sep 28;14(702):eabf6584. doi: 10.1126/scisignal.abf6584.
6
Cage bedding modifies metabolic and gut microbiota profiles in mouse studies applying dietary restriction.笼具饲养在应用饮食限制的小鼠研究中改变了代谢和肠道微生物群特征。
Sci Rep. 2020 Nov 30;10(1):20835. doi: 10.1038/s41598-020-77831-3.
7
Aspirin eugenol ester regulates cecal contents metabolomic profile and microbiota in an animal model of hyperlipidemia.阿司匹林丁香酚酯对高脂血症动物模型盲肠内容物代谢组学特征及微生物群的调节作用
BMC Vet Res. 2018 Dec 18;14(1):405. doi: 10.1186/s12917-018-1711-x.
8
Gas chromatography/mass spectrometry based metabolomic study in a murine model of irritable bowel syndrome.基于气相色谱/质谱联用代谢组学的肠易激综合征小鼠模型研究。
World J Gastroenterol. 2018 Feb 28;24(8):894-904. doi: 10.3748/wjg.v24.i8.894.
9
Effect of Dietary Fibers on Cecal Microbiota and Intestinal Tumorigenesis in Azoxymethane Treated A/J Min/+ Mice.膳食纤维对用偶氮甲烷处理的A/J Min/+小鼠盲肠微生物群和肠道肿瘤发生的影响。
PLoS One. 2016 May 19;11(5):e0155402. doi: 10.1371/journal.pone.0155402. eCollection 2016.
Mol Endocrinol. 2014 Aug;28(8):1221-38. doi: 10.1210/me.2014-1108. Epub 2014 Jun 3.
4
Impact of the gut microbiota on the development of obesity and type 2 diabetes mellitus.肠道微生物群对肥胖和2型糖尿病发生发展的影响。
Front Microbiol. 2014 Apr 29;5:190. doi: 10.3389/fmicb.2014.00190. eCollection 2014.
5
Mechanisms linking dietary fiber, gut microbiota and colon cancer prevention.膳食纤维、肠道微生物群与结肠癌预防之间的关联机制。
World J Gastrointest Oncol. 2014 Feb 15;6(2):41-51. doi: 10.4251/wjgo.v6.i2.41.
6
Role of the gut microbiota in human nutrition and metabolism.肠道微生物群在人类营养和代谢中的作用。
J Gastroenterol Hepatol. 2013 Dec;28 Suppl 4:9-17. doi: 10.1111/jgh.12294.
7
Colonic bacterial metabolites and human health.肠道细菌代谢物与人类健康。
Curr Opin Microbiol. 2013 Jun;16(3):246-54. doi: 10.1016/j.mib.2013.07.002. Epub 2013 Jul 20.
8
Gut microbial activity, implications for health and disease: the potential role of metabolite analysis.肠道微生物活性、对健康和疾病的影响:代谢产物分析的潜在作用。
J Proteome Res. 2012 Dec 7;11(12):5573-85. doi: 10.1021/pr300637d. Epub 2012 Nov 1.
9
Bacteria, colonic fermentation, and gastrointestinal health.细菌、结肠发酵与胃肠道健康。
J AOAC Int. 2012 Jan-Feb;95(1):50-60. doi: 10.5740/jaoacint.sge_macfarlane.
10
Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis.用于基于质谱的代谢组学数据处理与分析的生物信息学工具
Curr Bioinform. 2012 Mar;7(1):96-108. doi: 10.2174/157489312799304431.