液相色谱-质谱联用测定人血浆和尿液中吡哆醇依赖性癫痫的新生物标志物。

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2025-02-01 Epub Date: 2024-12-25 DOI:10.1016/j.cca.2024.120111
Roberta Damiano, Maria Della Bona, Elena Procopio, Serena Gasperini, Renzo Guerrini, Alessandra Bettiol, Giancarlo la Marca
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引用次数: 0

摘要

背景:吡哆醇依赖性癫痫(PDE)是一种罕见的先天性赖氨酸代谢错误。迄今为止,PDE的诊断依赖于有明显症状患者尿液或血浆中α-氨基己二半醛(α- AASA)、哌啶-6-羧酸酯(P6C)和胡椒果酸(PA)的定量测定。然而,这些生物标志物并不具有特异性,其生化分析受到其不稳定性和技术限制的挑战。为了克服传统生物标志物在诊断和技术上的挑战,我们建立并验证了两种新的PDE生物标志物(2S,6S-和2S, 6r -氧丙基哌啶-2-羧酸,2-OPP和6-氧丙基哌啶-2-羧酸,6 -氧丙基哌啶-2-羧酸,6-oxoPIP)在人尿液和血浆中的定量方法。方法:采用LC-MS/MS对尿液和血浆样品进行分析,并在两种生物基质中验证该方法。结果:我们从10µL尿液或血浆中提取生物标志物,提取时间约为15分钟,尿液用水为100%,血浆水/甲醇溶液为50%。2-OPP和6-oxoPIP在0-15µmol/L和0-25µmol/L的范围内具有良好的线性关系(r2 > 0.999)。在这两种基质中,生物标志物在不同的储存温度下都是稳定的。结论:我们建立并验证了一种可靠的方法,并证实了其在PDE患者真实样本上的临床适用性。该方法可作为PDE诊断和监测的常规检查方法。
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Determination of new biomarkers for diagnosis of pyridoxine dependent epilepsy in human plasma and urine by liquid chromatography-mass spectrometry.

Background: Pyridoxine-dependent epilepsy (PDE) is a rare inborn error of lysine metabolism. To date, diagnosis of PDE relies on the quantification of α-AminoAdipic SemiAldehyde (α- AASA), Piperideine-6-Carboxylate (P6C) and Pipecolic acid (PA) in urine or plasma from patients with overt symptoms. However, these biomarkers are not specific, and their biochemical analysis is challenged by their instability and technical limitations. We set-up and validated a method for the quantification of two new biomarkers of PDE (2S,6S- and 2S,6R-oxopropylpiperidine-2-carboxylic acid, 2-OPP, and 6-oxopiperidine2-carboxylic acid, 6-oxoPIP) on human urine and plasma by LC-MS/MS, to overcome the diagnostic and technical challenges of old biomarkers.

Methods: We analysed urine and plasma samples by LC-MS/MS, and validated the method in both biological matrices.

Results: We performed the biomarkers extraction from a 10 µL aliquot of urine or plasma in around 15 min using water 100 % for urine, and a solution of water/methanol 50 % for plasma, respectively. The analytical method was validated and gave good linearity (r2 > 0.999) in the range 0-15 µmol/L for 2-OPP and 0-25 µmol/L for 6-oxoPIP. In both matrices, the biomarkers were stable at different storage temperatures tested.

Conclusions: We set-up and validated a reliable method and confirmed its clinical applicability on real samples from PDE patients. This method could be used as routine test for the diagnosis and monitoring of PDE.

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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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