Suppr超能文献

孟加拉国微生物群研究中粪便采集方法的比较

Comparison of Fecal Collection Methods for Microbiota Studies in Bangladesh.

作者信息

Vogtmann Emily, Chen Jun, Kibriya Muhammad G, Chen Yu, Islam Tariqul, Eunes Mahbubul, Ahmed Alauddin, Naher Jabun, Rahman Anisur, Amir Amnon, Shi Jianxin, Abnet Christian C, Nelson Heidi, Knight Rob, Chia Nicholas, Ahsan Habibul, Sinha Rashmi

机构信息

Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA

Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota, USA.

出版信息

Appl Environ Microbiol. 2017 May 1;83(10). doi: 10.1128/AEM.00361-17. Print 2017 May 15.

Abstract

To our knowledge, fecal microbiota collection methods have not been evaluated in low- and middle-income countries. Therefore, we evaluated five different fecal sample collection methods for technical reproducibility, stability, and accuracy within the Health Effects of Arsenic Longitudinal Study (HEALS) in Bangladesh. Fifty participants from the HEALS provided fecal samples in the clinic which were aliquoted into no solution, 95% ethanol, RNAlater, postdevelopment fecal occult blood test (FOBT) cards, and fecal immunochemical test (FIT) tubes. Half of the aliquots were frozen immediately at -80°C (day 0) and the remaining samples were left at ambient temperature for 96 h and then frozen (day 4). Intraclass correlation coefficients (ICC) were calculated for the relative abundances of the top three phyla, for two alpha diversity measures, and for four beta diversity measures. The duplicate samples had relatively high ICCs for technical reproducibility at day 0 and day 4 (range, 0.79 to 0.99). The FOBT card and samples preserved in RNAlater and 95% ethanol had the highest ICCs for stability over 4 days. The FIT tube had lower stability measures overall. In comparison to the "gold standard" method using immediately frozen fecal samples with no solution, the ICCs for many of the microbial metrics were low, but the rank order appeared to be preserved as seen by the Spearman correlation. The FOBT cards, 95% ethanol, and RNAlater were effective fecal preservatives. These fecal collection methods are optimal for future cohort studies, particularly in low- and middle-income countries. The collection of fecal samples in prospective cohort studies is essential to provide the opportunity to study the effect of the human microbiota on numerous health conditions. However, these collection methods have not been adequately tested in low- and middle-income countries. We present estimates of technical reproducibility, stability at ambient temperature for 4 days, and accuracy comparing a "gold standard" for fecal samples in no solution, 95% ethanol, RNAlater, postdevelopment fecal occult blood test cards, and fecal immunochemical test tubes in a study conducted in Bangladesh. Fecal occult blood test cards and fecal samples stored in 95% ethanol or RNAlater adequately preserve fecal samples in this setting. Therefore, new studies in low- and middle-income countries should include collection of fecal samples using fecal occult blood test cards, 95% ethanol, or RNAlater for prospective cohort studies.

摘要

据我们所知,低收入和中等收入国家尚未对粪便微生物群的采集方法进行评估。因此,我们在孟加拉国的砷纵向研究(HEALS)中,评估了五种不同的粪便样本采集方法在技术可重复性、稳定性和准确性方面的表现。来自HEALS的50名参与者在诊所提供了粪便样本,这些样本被分装到无溶液、95%乙醇、RNA Later、粪便潜血检测(FOBT)后开发卡片和粪便免疫化学检测(FIT)管中。一半的分装样本立即在-80°C下冷冻(第0天),其余样本在室温下放置96小时后冷冻(第4天)。计算了前三大门类的相对丰度、两种α多样性指标和四种β多样性指标的组内相关系数(ICC)。重复样本在第0天和第4天的技术可重复性方面具有相对较高的ICC(范围为0.79至0.99)。FOBT卡片以及保存在RNA Later和95%乙醇中的样本在4天内的稳定性方面具有最高的ICC。FIT管的总体稳定性指标较低。与使用无溶液的立即冷冻粪便样本的“金标准”方法相比,许多微生物指标的ICC较低,但通过Spearman相关性可以看出,排序似乎得以保留。FOBT卡片、95%乙醇和RNA Later是有效的粪便防腐剂。这些粪便采集方法对于未来的队列研究是最佳的,特别是在低收入和中等收入国家。在前瞻性队列研究中采集粪便样本对于提供研究人类微生物群对众多健康状况影响的机会至关重要。然而,这些采集方法在低收入和中等收入国家尚未得到充分测试。我们在孟加拉国进行的一项研究中,给出了技术可重复性、在室温下4天的稳定性以及与无溶液、95%乙醇、RNA Later、粪便潜血检测后开发卡片和粪便免疫化学检测管中的粪便样本“金标准”相比的准确性的估计。在这种情况下,粪便潜血检测卡片以及保存在95%乙醇或RNA Later中的粪便样本能够充分保存粪便样本。因此,低收入和中等收入国家的新研究应包括在进行前瞻性队列研究时使用粪便潜血检测卡片、95%乙醇或RNA Later采集粪便样本。

相似文献

1
Comparison of Fecal Collection Methods for Microbiota Studies in Bangladesh.
Appl Environ Microbiol. 2017 May 1;83(10). doi: 10.1128/AEM.00361-17. Print 2017 May 15.
2
Comparison of Collection Methods for Fecal Samples in Microbiome Studies.
Am J Epidemiol. 2017 Jan 15;185(2):115-123. doi: 10.1093/aje/kww177. Epub 2016 Dec 16.
5
Reproducibility, stability, and accuracy of microbial profiles by fecal sample collection method in three distinct populations.
PLoS One. 2019 Nov 18;14(11):e0224757. doi: 10.1371/journal.pone.0224757. eCollection 2019.
7
Comparison of Fecal Collection Methods on Variation in Gut Metagenomics and Untargeted Metabolomics.
mSphere. 2021 Oct 27;6(5):e0063621. doi: 10.1128/mSphere.00636-21. Epub 2021 Sep 15.
8
Comparison of Collection Methods for Fecal Samples for Discovery Metabolomics in Epidemiologic Studies.
Cancer Epidemiol Biomarkers Prev. 2016 Nov;25(11):1483-1490. doi: 10.1158/1055-9965.EPI-16-0409. Epub 2016 Aug 19.
9
Collection media and delayed freezing effects on microbial composition of human stool.
Microbiome. 2015 Aug 12;3:33. doi: 10.1186/s40168-015-0092-7. eCollection 2015.
10
Comparison of Fecal Collection Methods for Microbiome and Metabolomics Studies.
Front Cell Infect Microbiol. 2018 Aug 28;8:301. doi: 10.3389/fcimb.2018.00301. eCollection 2018.

引用本文的文献

1
Comparing the Metagenomic Performance of Stools Collected from Custom Cards and 95% Ethanol in Epidemiologic Studies.
Cancer Epidemiol Biomarkers Prev. 2025 Aug 1;34(8):1368-1376. doi: 10.1158/1055-9965.EPI-25-0157.
2
The researcher's guide to selecting biomarkers in mental health studies.
Bioessays. 2024 Oct;46(10):e2300246. doi: 10.1002/bies.202300246. Epub 2024 Sep 11.
4
A gut microbiome signature for HIV and metabolic dysfunction-associated steatotic liver disease.
Front Immunol. 2023 Dec 14;14:1297378. doi: 10.3389/fimmu.2023.1297378. eCollection 2023.
6
Using fecal immmunochemical cartridges for gut microbiome analysis within a colorectal cancer screening program.
Gut Microbes. 2023 Jan-Dec;15(1):2176119. doi: 10.1080/19490976.2023.2176119.
7
Stability of the Fecal and Oral Microbiome over 2 Years at -80°C for Multiple Collection Methods.
Cancer Epidemiol Biomarkers Prev. 2023 Mar 6;32(3):444-451. doi: 10.1158/1055-9965.EPI-22-0883.
8
dICC: distance-based intraclass correlation coefficient for metagenomic reproducibility studies.
Bioinformatics. 2022 Oct 31;38(21):4969-4971. doi: 10.1093/bioinformatics/btac618.

本文引用的文献

1
Comparison of Collection Methods for Fecal Samples in Microbiome Studies.
Am J Epidemiol. 2017 Jan 15;185(2):115-123. doi: 10.1093/aje/kww177. Epub 2016 Dec 16.
3
Preservation Methods Differ in Fecal Microbiome Stability, Affecting Suitability for Field Studies.
mSystems. 2016 May 3;1(3). doi: 10.1128/mSystems.00021-16. eCollection 2016 May-Jun.
4
Epidemiologic studies of the human microbiome and cancer.
Br J Cancer. 2016 Feb 2;114(3):237-42. doi: 10.1038/bjc.2015.465. Epub 2016 Jan 5.
5
The microbiome quality control project: baseline study design and future directions.
Genome Biol. 2015 Dec 9;16:276. doi: 10.1186/s13059-015-0841-8.
6
Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota.
Nature. 2015 Dec 10;528(7581):262-266. doi: 10.1038/nature15766. Epub 2015 Dec 2.
7
Collecting Fecal Samples for Microbiome Analyses in Epidemiology Studies.
Cancer Epidemiol Biomarkers Prev. 2016 Feb;25(2):407-16. doi: 10.1158/1055-9965.EPI-15-0951. Epub 2015 Nov 24.
8
Sample storage conditions significantly influence faecal microbiome profiles.
Sci Rep. 2015 Nov 17;5:16350. doi: 10.1038/srep16350.
9
Collection media and delayed freezing effects on microbial composition of human stool.
Microbiome. 2015 Aug 12;3:33. doi: 10.1186/s40168-015-0092-7. eCollection 2015.
10
Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool.
PLoS One. 2015 Aug 7;10(8):e0134802. doi: 10.1371/journal.pone.0134802. eCollection 2015.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验