Urine organic acid metabolomic profiling by gas chromatography mass spectrometry: Assessment of solvent extract evaporation parameters on the recovery of key diagnostic metabolites

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Rachel S. Carling , Karolina Witek , Erin C Emmett , Claire Gallagher , Stuart J. Moat
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引用次数: 0

Abstract

Background

Analysis of urinary organic acids (UOAs) by gas chromatography mass-spectrometry (GC–MS) is widely used in metabolomic studies. It is a complex test with many limitations and pitfalls yet there is limited evidence in the literature to support best practice. This study investigated the impact of drying down time and temperature on the recovery of 16 key analytes from solvent extracts.

Methods

Pooled urine specimens were enriched with organic acids. Urine aliquots (n = 3) were acidified and extracted into diethyl ether and ethyl acetate. Extracts were dried under nitrogen at ambient temperature (25 °C); 40 °C; 60 °C then left for 0; +5; +15 min. Dried extracts were derivatised with N,O,-bis-(trimethylsilyl)trifluoroacetamide prior to analysis by GC–MS. Urine specimens from individuals with biotinidase deficiency, maple syrup urine disease (MSUD) and ketotic hypoglycemia were analysed to demonstrate the potential clinical impact.

Results

Recovery of shorter chain hydroxycarboxylic acids decreased significantly when extracts were dried above 25 °C (mean recovery 89 % at 60 °C, p < 0.01) or left under nitrogen post-drying (mean recovery at ambient + 15 min, 40 °C + 15mins and 60 °C + 15mins was 56 %, 12 % and 2 %, respectively, p < 0.01). Whilst dicarboxylic acids/medium chain fatty acids were unaffected by temperature (mean recovery 100 %), prolonged drying reduced recovery (mean recovery 85 % at 60 °C + 15mins, p < 0.01).

Conclusions

Evaporation of solvent extracts with heat and/or prolonged drying under nitrogen results in significant losses of the shorter chain hydroxycarboxylic acids. The evaporation protocol must be carefully controlled to ensure accurate and reproducible results, preventing misdiagnoses and/or misinterpretation of results.
利用气相色谱质谱法分析尿液中的有机酸代谢组谱:评估溶剂提取物蒸发参数对关键诊断代谢物回收率的影响。
背景:利用气相色谱质谱法(GC-MS)分析尿液中的有机酸(UOAs)被广泛用于代谢组学研究。这是一种复杂的检测方法,存在许多局限性和隐患,但支持最佳实践的文献证据却很有限。本研究调查了干燥时间和温度对从溶剂提取物中回收 16 种关键分析物的影响:方法:用有机酸富集尿液标本。尿液等分(n = 3)经酸化后萃取到二乙醚和乙酸乙酯中。萃取物在环境温度(25 °C)、40 °C、60 °C下氮气吹干,然后静置0、+5、+15分钟。在使用气相色谱-质谱仪进行分析之前,用 N,O,-双(三甲基硅基)三氟乙酰胺对干燥提取物进行衍生处理。对患有生物素酶缺乏症、枫糖浆尿病(MSUD)和酮症性低血糖症患者的尿液标本进行了分析,以证明其潜在的临床影响:结果:当提取物在 25 °C以上干燥时,短链羟基羧酸的回收率明显降低(60 °C时的平均回收率为89%,p 结论:当提取物在 25 °C以上干燥时,短链羟基羧酸的回收率明显降低:加热蒸发溶剂提取物和/或在氮气下长时间干燥会导致短链羟基羧酸的大量损失。必须仔细控制蒸发方案,以确保结果的准确性和可重复性,防止误诊和/或误读结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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