Suppr超能文献

研究储存条件对尿液挥发物组的影响,以评估其在疾病诊断中的可靠性。

Investigating the effects of storage conditions on urinary volatilomes for their reliability in disease diagnosis.

作者信息

Holbrook Kiana L, Badmos Sabur, Habib Ahsan, Landa Elizabeth Noriega, Quaye George E, Pokojovy Michael, Su Xiaogang, Lee Wen-Yee

机构信息

Department of Chemistry and Biochemistry, University of Texas at El Paso El Paso, TX 79968, USA.

Department of Mathematical Sciences, University of Texas at El Paso El Paso, TX 79968, USA.

出版信息

Am J Clin Exp Urol. 2023 Dec 15;11(6):481-499. eCollection 2023.

Abstract

BACKGROUND

Cancer detection presents challenges regarding invasiveness, cost, and reliability. As a result, exploring alternative diagnostic methods holds significant clinical importance. Urinary metabolomic profiling has emerged as a promising avenue; however, its application for cancer diagnosis may be influenced by sample preparation or storage conditions.

OBJECTIVE

This study aimed to assess the impact of sample storage and processing conditions on urinary volatile organic compounds (VOCs) profiles and establish a robust standard operating procedure (SOP) for such diagnostic applications.

METHODS

Five key variables were investigated: storage temperatures, durations, freeze-thaw cycles, sample collection conditions, and sample amounts. The analysis of VOCs involved stir bar sorptive extraction coupled with thermal desorption-gas chromatography/mass spectrometry (SBSE-TD-GC-MS), with compound identification facilitated by the National Institute of Standards and Technology Library (NIST). Extensive statistical analysis, including combined scatterplot and response surface (CSRS) plots, partial least squares-discriminant analysis (PLS-DA), and probability density function plots (PDFs), were employed to study the effects of the factors.

RESULTS

Our findings revealed that urine storage duration, sample amount, temperature, and fasting/non-fasting sample collection did not significantly impact urinary metabolite profiles. This suggests flexibility in urine sample collection conditions, enabling individuals to contribute samples under varying circumstances. However, the influence of freeze-thaw cycles was evident, as VOC profiles exhibited distinct clustering patterns based on the number of cycles. This emphasizes the effect of freeze-thaw cycles on the integrity of urinary profiles.

CONCLUSIONS

The developed SOP integrating SBSE-TD-GC-MS and statistical analyses can serve as a valuable tool for analyzing urinary organic compounds with minimal preparation and sensitive detection. The findings also support that urinary VOCs for cancer screening and diagnosis could be a feasible alternative offering a robust, non-invasive, and sensitive approach for cancer screening.

摘要

背景

癌症检测在侵入性、成本和可靠性方面存在挑战。因此,探索替代诊断方法具有重要的临床意义。尿液代谢组学分析已成为一条有前景的途径;然而,其在癌症诊断中的应用可能会受到样品制备或储存条件的影响。

目的

本研究旨在评估样品储存和处理条件对尿液挥发性有机化合物(VOCs)谱的影响,并为此类诊断应用建立一个稳健的标准操作规程(SOP)。

方法

研究了五个关键变量:储存温度、持续时间、冻融循环、样品收集条件和样品量。VOCs分析采用搅拌棒吸附萃取结合热脱附-气相色谱/质谱联用(SBSE-TD-GC-MS),通过美国国家标准与技术研究院图书馆(NIST)进行化合物鉴定。采用广泛的统计分析,包括组合散点图和响应面(CSRS)图、偏最小二乘判别分析(PLS-DA)和概率密度函数图(PDFs),来研究这些因素的影响。

结果

我们的研究结果表明,尿液储存时间、样品量、温度以及空腹/非空腹样品收集对尿液代谢物谱没有显著影响。这表明尿液样品收集条件具有灵活性,使个体能够在不同情况下提供样品。然而,冻融循环的影响是明显的,因为VOC谱根据循环次数呈现出明显的聚类模式。这强调了冻融循环对尿液谱完整性的影响。

结论

所开发的整合SBSE-TD-GC-MS和统计分析的SOP可作为一种有价值的工具,用于以最少的样品制备和灵敏的检测来分析尿液有机化合物。研究结果还支持尿液VOCs用于癌症筛查和诊断可能是一种可行的替代方法,为癌症筛查提供一种稳健、非侵入性且灵敏的方法。

相似文献

4
Stability of volatile organic compound metabolites in urine at various storage temperatures and freeze-thaw cycles for 8 months.
Environ Pollut. 2024 Mar 15;345:123493. doi: 10.1016/j.envpol.2024.123493. Epub 2024 Feb 3.
5
Analysis of urinary VOCs using mass spectrometric methods to diagnose cancer: A review.
Clin Mass Spectrom. 2020 Oct 31;18:27-37. doi: 10.1016/j.clinms.2020.10.004. eCollection 2020 Nov.
8
Multi-stir bar sorptive extraction for analysis of odor compounds in aqueous samples.
J Chromatogr A. 2013 Nov 8;1315:70-9. doi: 10.1016/j.chroma.2013.09.070. Epub 2013 Sep 24.

引用本文的文献

本文引用的文献

2
Laplace Transform Fitting as a Tool To Uncover Distributions of Reverse Intersystem Crossing Rates in TADF Systems.
J Phys Chem Lett. 2022 Aug 4;13(30):6981-6986. doi: 10.1021/acs.jpclett.2c01864. Epub 2022 Jul 26.
3
High-Coverage Quantitative Metabolomics of Human Urine: Effects of Freeze-Thaw Cycles on the Urine Metabolome and Biomarker Discovery.
Anal Chem. 2022 Jul 12;94(27):9880-9887. doi: 10.1021/acs.analchem.2c01816. Epub 2022 Jun 27.
4
The Potential of Metabolomics in Biomedical Applications.
Metabolites. 2022 Feb 19;12(2):194. doi: 10.3390/metabo12020194.
5
Best practice in statistics: The use of log transformation.
Ann Clin Biochem. 2022 May;59(3):162-165. doi: 10.1177/00045632211050531. Epub 2021 Oct 19.
6
Sniffer dogs can identify lung cancer patients from breath and urine samples.
BMC Cancer. 2021 Aug 13;21(1):917. doi: 10.1186/s12885-021-08651-5.
7
Method for Accurate Quantitation of Volatile Organic Compounds in Urine Using Point of Collection Internal Standard Addition.
ACS Omega. 2021 May 4;6(19):12684-12690. doi: 10.1021/acsomega.1c00854. eCollection 2021 May 18.
8
Linear Regression in Medical Research.
Anesth Analg. 2021 Jan;132(1):108-109. doi: 10.1213/ANE.0000000000005206.

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