基于干血斑的游离固醇特征在坐骨神经胆固醇血症诊断中的应用。

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2024-07-23 DOI:10.1016/j.cca.2024.119886
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引用次数: 0

摘要

背景:睾酮血症是一种罕见的遗传性脂质代谢紊乱,其特点是植物固醇水平升高和动脉粥样硬化加速。虽然早期发现有利于预防疾病进展,但基于传统脂质图谱的常规筛查在很大程度上对该疾病诊断不足:开发并验证了一种基于气相色谱-质谱(GC-MS)的分析方法,用于测量干血斑(DBS)中具有生物活性的游离固醇水平,包括五种内源性固醇和三种植物固醇(西固醇、坎贝酯醇和豆固醇):运行内和运行间的精确度分别为 1.4-11.1 % 和 2.2-14.1 %,所有固醇的准确度均为 86.3 ∼ 121.9 %,相关系数 (r2) > 0.988。患者(四名女孩和两名男孩,6.5 ± 2.8 岁)的谷甾醇水平明显升高,最佳临界值为 2.5 µg/mL,可将他们与 93 名年龄匹配的健康儿童区分开来。31.9 的临界值可将患者与六名 ABCG5/ABCG8 杂合子携带者区分开来。此外,谷甾醇与胆固醇、去脂醇和 7-脱氢胆固醇的分子比值分别为 26.3、67.6 和 21.6,为区分患者与健康对照组和杂合子携带者提供了极佳的临界值:基于 DBS 的新型 GC-MS 游离固醇分析法能准确鉴别出 sitosterolemia 患者,其性能与血清分析法相当。在临床实践和人群筛查计划中,DBS 分析法可能是一种更可行的方法,而且它还能为单个植物固醇提供诊断临界值。
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Dried blood spot-based free sterol signatures in sitosterolemia diagnostics

Background

Sitosterolemia is a rare inherited lipid metabolic disorder characterized by increased levels of plant sterols and accelerated atherosclerosis. Although early detection is beneficial for the prevention of disease progression, it is largely underdiagnosed by routine screening based on conventional lipid profiles.

Materials and methods

A gas chromatography-mass spectrometry (GC–MS)-based profiling has been developed and validated to measure the levels of biologically active free sterols, including five endogenous sterols and three plant sterols (sitosterol, campesterol, and stigmasterol) in dried blood spot (DBS).

Results

Within- and between-run precisions were 1.4–11.1 % and 2.2–14.1 %, respectively, while the accuracies were all 86.3 ∼ 121.9 % with the correlation coefficients (r2) > 0.988 for all the sterols. In the patients (four girls and two boys, 6.5 ± 2.8 years), sitosterol levels were significantly increased, with an optimal cut-off value of 2.5 µg/mL distinguishing them from ninety-three age-matched healthy children. A cut-off value of 31.9 µg/mL differentiated the patients from six ABCG5/ABCG8 heterozygous carriers. In addition, the molecular ratios of sitosterol to cholesterol, desmosterol, and 7-dehydrocholesterol provided excellent cut-off values of 26.3, 67.6, and 21.6, respectively, to distinguish patients from both healthy controls and heterozygous carriers.

Conclusions

The novel DBS-based GC–MS profiling of free sterols accurately identified patients with sitosterolemia, with a performance comparable to that of a serum assay. The DBS profiling could be more feasible method in clinical practice as well as population screening programs, and it can provide diagnostic cut-off values for individual plant sterols.

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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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