B-170 Age-Specific reference intervals for ethanolamine plasmalogen species in red blood cells using liquid chromatography tandem mass spectrometry

IF 7.1 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY
I De Biase, M Miller, L M Zuromski, S Steckel, P P Vachali, T Yuzyuk
{"title":"B-170 Age-Specific reference intervals for ethanolamine plasmalogen species in red blood cells using liquid chromatography tandem mass spectrometry","authors":"I De Biase, M Miller, L M Zuromski, S Steckel, P P Vachali, T Yuzyuk","doi":"10.1093/clinchem/hvae106.530","DOIUrl":null,"url":null,"abstract":"Background Plasmalogens are critical membrane structural components that are mainly generated by de novo synthesis starting in peroxisomes. Hence, patients with defects in peroxisome biogenesis (PBD) exhibit markedly reduced plasmalogen levels. Plasmalogen ratios are traditionally measured by gas chromatography-mass spectrometry (GC-MS); however, this method entails a lengthy sample extraction and derivatization and does not report concentrations of individual plasmalogen species. We have developed a robust and easy-to-implement liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify the 18 most abundant ethanolamine plasmalogen (PlsEtn) species in packed red blood cells (RBCs). However, no reference intervals have been published for individual PlsEtn. Here, we describe the establishment of age-specific reference intervals for individual PlsEtn species and their total values (16:0, 18:0, 18:1 species, and total plasmalogens). Methods Plasmalogens were extracted using methanol containing two labeled internal standards, shaking for one hour at room temperature. Chromatographic separation was performed using an Acquity Premier BEH C18 UPLC column with a binary gradient of 5 mM ammonium acetate in water:methanol (15:85) and 5 mM ammonium acetate in methanol. Analysis was performed using a XEVO TQ-XS Mass Spectrometer with Ultra-High Performance Liquid Chromatography (Waters) in multiple reaction monitoring mode. Eighteen PlsEtn species were quantified using four commercially available standards; additionally, totals were calculated for 16:0, 18:0 or 18:1 species, and for total plasmalogens. Reference intervals were established using 376 RBCs from self-reported healthy volunteers and de-identified clinical samples referred for unrelated testing (182 females and 194 males; range 0 to 88 years). Data was analyzed using the R programming language. The study was approved by the Institutional Review Board of the University of Utah. Results Initial age groups were identified using a model-based clustering algorithm followed by iterative Harris-Boyd analysis. Finally, the adjacent groups were merged if their means differed by less than 10%. Once the final age groups were partitioned, data in each individual age group were analyzed using parametric or non-parametric statistics to determine reference intervals (95%, with 90%confidence intervals). PlsEtn species displayed the lowest concentration in the first few months of life, which increased in childhood until adolescence or adulthood (depending on PlsEtn). For most species, the concentrations increased over time reaching a plateau between 18 and 48 years of age, and then starting to decrease. The total values followed the same trend, with neonates showing significantly lower values compared to other age groups. Conclusions We applied a novel statistical approach to identify age groups and determine age-specific reference intervals for 18 individual PlsEtn in RBC and their totals. Lacking previously published data, this study is critical for supporting test implementation in clinical laboratories.","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"23 1","pages":""},"PeriodicalIF":7.1000,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/clinchem/hvae106.530","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background Plasmalogens are critical membrane structural components that are mainly generated by de novo synthesis starting in peroxisomes. Hence, patients with defects in peroxisome biogenesis (PBD) exhibit markedly reduced plasmalogen levels. Plasmalogen ratios are traditionally measured by gas chromatography-mass spectrometry (GC-MS); however, this method entails a lengthy sample extraction and derivatization and does not report concentrations of individual plasmalogen species. We have developed a robust and easy-to-implement liquid chromatography-tandem mass spectrometry (LC-MS/MS) method to quantify the 18 most abundant ethanolamine plasmalogen (PlsEtn) species in packed red blood cells (RBCs). However, no reference intervals have been published for individual PlsEtn. Here, we describe the establishment of age-specific reference intervals for individual PlsEtn species and their total values (16:0, 18:0, 18:1 species, and total plasmalogens). Methods Plasmalogens were extracted using methanol containing two labeled internal standards, shaking for one hour at room temperature. Chromatographic separation was performed using an Acquity Premier BEH C18 UPLC column with a binary gradient of 5 mM ammonium acetate in water:methanol (15:85) and 5 mM ammonium acetate in methanol. Analysis was performed using a XEVO TQ-XS Mass Spectrometer with Ultra-High Performance Liquid Chromatography (Waters) in multiple reaction monitoring mode. Eighteen PlsEtn species were quantified using four commercially available standards; additionally, totals were calculated for 16:0, 18:0 or 18:1 species, and for total plasmalogens. Reference intervals were established using 376 RBCs from self-reported healthy volunteers and de-identified clinical samples referred for unrelated testing (182 females and 194 males; range 0 to 88 years). Data was analyzed using the R programming language. The study was approved by the Institutional Review Board of the University of Utah. Results Initial age groups were identified using a model-based clustering algorithm followed by iterative Harris-Boyd analysis. Finally, the adjacent groups were merged if their means differed by less than 10%. Once the final age groups were partitioned, data in each individual age group were analyzed using parametric or non-parametric statistics to determine reference intervals (95%, with 90%confidence intervals). PlsEtn species displayed the lowest concentration in the first few months of life, which increased in childhood until adolescence or adulthood (depending on PlsEtn). For most species, the concentrations increased over time reaching a plateau between 18 and 48 years of age, and then starting to decrease. The total values followed the same trend, with neonates showing significantly lower values compared to other age groups. Conclusions We applied a novel statistical approach to identify age groups and determine age-specific reference intervals for 18 individual PlsEtn in RBC and their totals. Lacking previously published data, this study is critical for supporting test implementation in clinical laboratories.
B-170 采用液相色谱串联质谱法测定红细胞中乙醇胺质原种类的特定年龄参考区间
背景 质体卤素是重要的膜结构成分,主要从过氧物酶体中开始从头合成。因此,过氧化物酶体生物发生(PBD)缺陷患者的质卤素水平明显降低。质卤素比率传统上是通过气相色谱-质谱联用仪(GC-MS)来测量的,但这种方法需要对样品进行长时间的提取和衍生处理,而且不能报告单个质卤素物种的浓度。我们已开发出一种稳健且易于实施的液相色谱-串联质谱(LC-MS/MS)方法,用于定量检测包装红细胞(RBC)中含量最高的 18 种乙醇胺质卤素(PlsEtn)。然而,目前还没有公布单个 PlsEtn 的参考区间。在此,我们将介绍如何为单个 PlsEtn 物种及其总值(16:0、18:0、18:1 物种和全部质粒)建立特定年龄的参考区间。方法 使用含有两种标记内标物的甲醇提取质谱蛋白,在室温下振荡一小时。使用 Acquity Premier BEH C18 UPLC 色谱柱,以 5 mM 乙酸铵水溶液:甲醇(15:85)和 5 mM 乙酸铵甲醇溶液的二元梯度进行色谱分离。使用 XEVO TQ-XS 质谱仪和超高效液相色谱仪(Waters)在多反应监测模式下进行分析。使用四种市售标准品对 18 种 PlsEtn 进行了定量;此外,还计算了 16:0、18:0 或 18:1 种类以及质谱总类的总量。使用 376 份红细胞建立了参考区间,这些红细胞来自自我报告的健康志愿者和转诊进行非相关检测的去身份化临床样本(女性 182 人,男性 194 人;年龄范围 0 至 88 岁)。数据使用 R 编程语言进行分析。该研究获得了犹他大学机构审查委员会的批准。结果 使用基于模型的聚类算法确定初始年龄组,然后进行迭代 Harris-Boyd 分析。最后,如果相邻组别的平均值相差不到 10%,则将其合并。在划分出最终的年龄组后,使用参数或非参数统计方法对每个年龄组的数据进行分析,以确定参考区间(95%,90%置信区间)。PlsEtn 物种在出生后最初几个月的浓度最低,在儿童期至青春期或成年期(取决于 PlsEtn)浓度不断上升。大多数物种的浓度随着时间的推移而增加,在 18 到 48 岁之间达到一个高峰,然后开始下降。总值也呈同样的趋势,与其他年龄组相比,新生儿的总值明显较低。结论 我们采用了一种新颖的统计方法来确定年龄组,并确定了红细胞中 18 个 PlsEtn 及其总值的特定年龄参考区间。由于缺乏以前公布的数据,这项研究对于支持临床实验室实施检测至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Clinical chemistry
Clinical chemistry 医学-医学实验技术
CiteScore
11.30
自引率
4.30%
发文量
212
审稿时长
1.7 months
期刊介绍: Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM). The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics. In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology. The journal is indexed in databases such as MEDLINE and Web of Science.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信