• 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

一种微创多组学肠道分析新方法:一项初步研究。

A Novel Approach toward Less Invasive Multiomics Gut Analyses: a Pilot Study.

机构信息

Division of Rheumatology, Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA.

Department of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, Colorado, USA.

出版信息

Microbiol Spectr. 2022 Apr 27;10(2):e0244621. doi: 10.1128/spectrum.02446-21. Epub 2022 Mar 28.

DOI:10.1128/spectrum.02446-21
PMID:35343759
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9045184/
Abstract

Newer 'omics approaches, such as metatranscriptomics and metabolomics, allow functional assessments of the interaction(s) between the gut microbiome and the human host. However, in order to generate meaningful data with these approaches, the method of sample collection is critical. Prior studies have relied on expensive and invasive means toward sample acquisition, such as intestinal biopsy, while other studies have relied on easier methods of collection, such as fecal samples that do not necessarily represent those microbes in contact with the host. In this pilot study, we attempt to characterize a novel, minimally invasive method toward sampling the human microbiome using mucosal cytology brush sampling compared to intestinal gut biopsy samples on 5 healthy participants undergoing routine screening colonoscopy. We compared metatranscriptomic analyses between the two collection methods and identified increased taxonomic evenness and beta diversity in the cytology brush samples and similar community transcriptional profiles between the two methods. Metabolomics assessment demonstrated striking differences between the two methods, implying a difference in bacterial-derived versus human-absorbed metabolites. Put together, this study supports the use of microbiome sampling with cytology brushes, but caution must be exercised when performing metabolomics assessment, as this represents differential metabolite production but not absorption by the host. In order to generate meaningful metabolomic and microbiome data, the method of sample collection is critical. This study utilizes and compares two methods for intestinal tissue collection for evaluation of metabolites and microbiomes, finding that using a brush to sample the microbiome provides valuable data. However, for metabolomics assessment, biopsy samples may still be required.

摘要

更新的“组学”方法,如宏转录组学和代谢组学,可以评估肠道微生物组与人类宿主之间的相互作用。然而,为了用这些方法生成有意义的数据,样本采集的方法是至关重要的。先前的研究依赖于昂贵且有创的样本采集方法,如肠道活检,而其他研究则依赖于更容易的样本采集方法,如粪便样本,而这些样本不一定代表与宿主接触的微生物。在这项初步研究中,我们尝试使用黏膜细胞学刷采样的新的微创方法来描述人类微生物组,与 5 名接受常规筛查结肠镜检查的健康参与者的肠道活检样本进行比较。我们比较了两种采集方法的宏转录组学分析,发现细胞学刷样本中的分类均匀度和β多样性增加,两种方法之间的群落转录谱相似。代谢组学评估表明两种方法之间存在显著差异,这意味着细菌衍生代谢物与人体吸收代谢物之间存在差异。综上所述,这项研究支持使用细胞学刷进行微生物组采样,但在进行代谢组学评估时必须谨慎,因为这代表了不同的代谢物产生而不是宿主吸收。为了生成有意义的代谢组学和微生物组数据,样本采集的方法至关重要。本研究利用并比较了两种用于肠道组织采集以评估代谢物和微生物组的方法,发现使用刷子采样微生物组可提供有价值的数据。然而,对于代谢组学评估,可能仍需要活检样本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db13/9045184/a0674fa1543b/spectrum.02446-21-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db13/9045184/9427a05d693d/spectrum.02446-21-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db13/9045184/ecad01c119c2/spectrum.02446-21-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db13/9045184/a0674fa1543b/spectrum.02446-21-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db13/9045184/9427a05d693d/spectrum.02446-21-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db13/9045184/ecad01c119c2/spectrum.02446-21-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db13/9045184/a0674fa1543b/spectrum.02446-21-f003.jpg

相似文献

1
A Novel Approach toward Less Invasive Multiomics Gut Analyses: a Pilot Study.一种微创多组学肠道分析新方法:一项初步研究。
Microbiol Spectr. 2022 Apr 27;10(2):e0244621. doi: 10.1128/spectrum.02446-21. Epub 2022 Mar 28.
2
Comparison of Fecal Collection Methods on Variation in Gut Metagenomics and Untargeted Metabolomics.粪便采集方法对肠道宏基因组和非靶向代谢组学变化的比较。
mSphere. 2021 Oct 27;6(5):e0063621. doi: 10.1128/mSphere.00636-21. Epub 2021 Sep 15.
3
Systematic Analysis of Impact of Sampling Regions and Storage Methods on Fecal Gut Microbiome and Metabolome Profiles.系统分析采样区域和储存方法对粪便肠道微生物组和代谢组谱的影响。
mSphere. 2020 Jan 8;5(1):e00763-19. doi: 10.1128/mSphere.00763-19.
4
Multi-omics Approaches To Decipher the Impact of Diet and Host Physiology on the Mammalian Gut Microbiome.多组学方法解析饮食和宿主生理学对哺乳动物肠道微生物组的影响。
Appl Environ Microbiol. 2020 Nov 10;86(23). doi: 10.1128/AEM.01864-20.
5
Unbiased Microbiome and Metabolomic Profiling of Fecal Samples from Patients with Melanoma.无偏微生物组和代谢组学分析黑色素瘤患者粪便样本。
Methods Mol Biol. 2021;2265:461-474. doi: 10.1007/978-1-0716-1205-7_33.
6
Challenges of metabolomics in human gut microbiota research.人类肠道微生物群研究中代谢组学面临的挑战。
Int J Med Microbiol. 2016 Aug;306(5):266-279. doi: 10.1016/j.ijmm.2016.03.006. Epub 2016 Mar 15.
7
Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models.基于宏基因组数据的弹性网络模型提高代谢物预测能力。
Front Cell Infect Microbiol. 2021 Oct 25;11:734416. doi: 10.3389/fcimb.2021.734416. eCollection 2021.
8
Assessment of gut microbiota fecal metabolites by chromatographic targeted approaches.采用色谱靶向方法评估肠道微生物菌群粪便代谢产物。
J Pharm Biomed Anal. 2020 Jan 5;177:112867. doi: 10.1016/j.jpba.2019.112867. Epub 2019 Sep 8.
9
Metaproteomic and Metabolomic Approaches for Characterizing the Gut Microbiome.基于代谢组学和代谢组学的方法来描述肠道微生物组。
Proteomics. 2019 Aug;19(16):e1800363. doi: 10.1002/pmic.201800363. Epub 2019 Jul 31.
10
Impact of lincosamides antibiotics on the composition of the rat gut microbiota and the metabolite profile of plasma and feces.林可酰胺类抗生素对大鼠肠道微生物群落组成和血浆及粪便代谢物谱的影响。
Toxicol Lett. 2018 Oct 15;296:139-151. doi: 10.1016/j.toxlet.2018.08.002. Epub 2018 Aug 10.

引用本文的文献

1
Intestinal Microbiota and Fecal Transplantation in Patients with Inflammatory Bowel Disease and : An Updated Literature Review.炎症性肠病患者的肠道微生物群与粪便移植:文献综述更新
J Clin Med. 2025 Jul 25;14(15):5260. doi: 10.3390/jcm14155260.
2
Mucosal washes are useful for sampling intestinal mucus-associated microbiota despite low biomass.尽管生物量较低,但黏膜冲洗对于采集肠道黏液相关微生物群很有用。
Gut Microbes. 2025 Dec;17(1):2464296. doi: 10.1080/19490976.2025.2464296. Epub 2025 Feb 20.
3
Endoscopic brush sampling identifies mucosa associated microbiota in colorectal adenomas.

本文引用的文献

1
Current Sampling Methods for Gut Microbiota: A Call for More Precise Devices.当前肠道微生物组的采样方法:呼吁更精确的设备。
Front Cell Infect Microbiol. 2020 Apr 9;10:151. doi: 10.3389/fcimb.2020.00151. eCollection 2020.
2
Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data.使用 MicrobiomeAnalyst 进行微生物组数据的综合统计、功能和元分析。
Nat Protoc. 2020 Mar;15(3):799-821. doi: 10.1038/s41596-019-0264-1. Epub 2020 Jan 15.
3
Advancing functional and translational microbiome research using meta-omics approaches.
内镜刷检可识别结直肠腺瘤中与黏膜相关的微生物群。
Heliyon. 2024 Oct 2;10(20):e38901. doi: 10.1016/j.heliyon.2024.e38901. eCollection 2024 Oct 30.
4
Microbiota-dependent indole production is required for the development of collagen-induced arthritis.微生物群依赖的吲哚生成是胶原诱导性关节炎发展所必需的。
bioRxiv. 2023 Oct 13:2023.10.13.561693. doi: 10.1101/2023.10.13.561693.
5
Potential roles of gut microbes in biotransformation of natural products: An overview.肠道微生物在天然产物生物转化中的潜在作用:综述。
Front Microbiol. 2022 Sep 29;13:956378. doi: 10.3389/fmicb.2022.956378. eCollection 2022.
利用宏基因组学方法推进功能和转化微生物组研究。
Microbiome. 2019 Dec 6;7(1):154. doi: 10.1186/s40168-019-0767-6.
4
MAIT Cells in Health and Disease.MAIT 细胞在健康与疾病中的作用
Methods Mol Biol. 2020;2098:3-21. doi: 10.1007/978-1-0716-0207-2_1.
5
Spatial metagenomic characterization of microbial biogeography in the gut.肠道微生物地理学的空间宏基因组特征分析。
Nat Biotechnol. 2019 Aug;37(8):877-883. doi: 10.1038/s41587-019-0183-2. Epub 2019 Jul 22.
6
High-Throughput Metabolomics: Isocratic and Gradient Mass Spectrometry-Based Methods.高通量代谢组学:基于等度和梯度质谱的方法。
Methods Mol Biol. 2019;1978:13-26. doi: 10.1007/978-1-4939-9236-2_2.
7
Red Blood Cell Metabolic Responses to Torpor and Arousal in the Hibernator Arctic Ground Squirrel.红细胞代谢对冬眠和唤醒的反应在冬眠者北极地松鼠中。
J Proteome Res. 2019 Apr 5;18(4):1827-1841. doi: 10.1021/acs.jproteome.9b00018. Epub 2019 Feb 28.
8
Differential clustering of fecal and mucosa-associated microbiota in 'healthy' individuals.粪便和黏膜相关微生物群在“健康”个体中的差异聚类。
J Dig Dis. 2018 Dec;19(12):745-752. doi: 10.1111/1751-2980.12688.
9
Species-level functional profiling of metagenomes and metatranscriptomes.宏基因组和宏转录组的物种水平功能分析。
Nat Methods. 2018 Nov;15(11):962-968. doi: 10.1038/s41592-018-0176-y. Epub 2018 Oct 30.
10
Inter-niche and inter-individual variation in gut microbial community assessment using stool, rectal swab, and mucosal samples.利用粪便、直肠拭子和黏膜样本评估肠道微生物群落的种间和个体间变异性。
Sci Rep. 2018 Mar 7;8(1):4139. doi: 10.1038/s41598-018-22408-4.