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Is commutability of a reference material always desirable? 参考材料的互换性是否总是可取的?
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2024-01-01 DOI: 10.1016/j.jmsacl.2023.12.002
Michael Vogeser, Katharina Habler
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引用次数: 0
Enhancing saliva diagnostics: The impact of amylase depletion on MALDI-ToF MS profiles as applied to COVID-19 加强唾液诊断:应用于 COVID-19 的淀粉酶耗竭对 MALDI-ToF MS 图谱的影响
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2024-01-01 DOI: 10.1016/j.jmsacl.2024.01.003
Zane LaCasse , Prajkta Chivte , Kari Kress , Venkata Devesh R. Seethi , Joshua Bland , Hamed Alhoori , Shrihari S. Kadkol , Elizabeth R. Gaillard

Introduction

Human saliva contains a wealth of proteins that can be monitored for disease diagnosis and progression. Saliva, which is easy to collect, has been extensively studied for the diagnosis of numerous systemic and infectious diseases. However, the presence of amylase, the most abundant protein in saliva, can obscure the detection of low-abundance proteins by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-ToF MS), thus reducing its diagnostic utility.

Objectives

In this study, we used a device to deplete salivary amylase from water-gargle samples by affinity adsorption. Following depletion, saliva proteome profiling was performed using MALDI-ToF MS on gargle samples from individuals confirmed to have COVID-19 based on nasopharyngeal (NP) swab reverse transcription quantitative polymerase chain reaction (RT-qPCR).

Results

The depletion of amylase led to increased signal intensities of various peaks and the detection of previously unobserved peaks in the MALDI-ToF MS spectra. The overall specificity and sensitivity after amylase depletion were 100% and 85.17%, respectively, for detecting COVID-19.

Conclusion

This simple, rapid, and inexpensive technique for depleting salivary amylase can reveal spectral diversity in saliva using MALDI-ToF MS, expose low-abundance proteins, and assist in establishing novel biomarkers for diseases.

导言人类唾液中含有大量可用于疾病诊断和进展监测的蛋白质。唾液易于采集,已被广泛用于诊断多种系统性和传染性疾病。然而,唾液中含量最高的蛋白质--淀粉酶的存在会影响基质辅助激光解吸/电离飞行时间质谱(MALDI-ToF MS)对低丰度蛋白质的检测,从而降低其诊断效用。结果淀粉酶的消耗导致各种峰值的信号强度增加,并在 MALDI-ToF MS 图谱中检测到以前未观察到的峰值。结论这种简单、快速、廉价的唾液淀粉酶消耗技术可以利用 MALDI-ToF MS 揭示唾液中光谱的多样性,揭示低丰度蛋白质,并有助于建立新型疾病生物标记物。
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引用次数: 0
Development and validation of a liquid chromatography tandem mass spectrometry assay for the analysis of bedaquiline and M2 in breast milk 开发和验证用于分析母乳中贝达喹啉和 M2 的液相色谱串联质谱分析法
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-12-13 DOI: 10.1016/j.jmsacl.2023.12.001
Buyisile Mkhize, Richard Court, Sandra Castel, Anton Joubert, Marthinus van der Merwe, Lubbe Wiesner

Objective

To develop and validate an assay for the analysis of bedaquiline and its M2 metabolite in human breast milk.

Methods

The analytes were extracted using solid phase extraction following protein precipitation. Quantification was performed with liquid chromatography coupled with tandem mass spectrometry. Chromatographic separation was achieved using gradient chromatography on a Poroshell 120 SB-C18 analytical column at 40 °C, with a flow rate of 350 µL/minute and a total run time of eight minutes. An AB Sciex 3000 mass spectrometer with electrospray ionization in the positive mode was used for detection, employing multiple reaction monitoring scan mode. Bedaquiline-d6 and M2-d3-13C were used as internal standards.

Results

Calibrations curves for bedaquiline and M2 exhibited quadratic (weighted 1/x concentration) regressions over the respective concentration ranges of 0.0780 to 5.00 µg/mL and 0.0312 to 2.00 µg/mL. Inter- and intra-day validation accuracies ranged between 96.7 % and 103.5 % for bedaquiline, and 104.2 % to 106.5 % for M2, with a coefficient of variation below 9.2 % for both compounds.

Conclusion

The developed assay demonstrated selectivity and robustness, enabling differentiation between bedaquiline and M2 within the context of endogenous compounds from six separate lots of breast milk samples. Successful application was observed in the analysis of breast milk samples sourced from patients treated for multidrug-resistant tuberculosis within a clinical study setting.

方法 在蛋白质沉淀后采用固相萃取法提取分析物。采用液相色谱-串联质谱法进行定量。采用梯度色谱法在 Poroshell 120 SB-C18 分析柱上进行色谱分离,分离温度为 40 °C,流速为 350 µL/分钟,总运行时间为 8 分钟。AB Sciex 3000 质谱仪采用多反应监测扫描模式,在正离子模式下进行电喷雾离子化检测。结果贝达喹啉和 M2 的校准曲线在 0.0780 至 5.00 µg/mL 和 0.0312 至 2.00 µg/mL 的浓度范围内分别呈现二次(加权 1/x 浓度)回归。贝达喹啉的日间和日内验证准确度在 96.7 % 至 103.5 % 之间,M2 的准确度在 104.2 % 至 106.5 % 之间,两种化合物的变异系数均低于 9.2 %。在一项临床研究中,对来自耐多药结核病患者的母乳样本进行分析,取得了成功。
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引用次数: 0
Use of volumetric absorptive microsampling and parallel reaction monitoring mass spectrometry for tacrolimus blood trough measurements at home in pediatric heart transplant patients 在小儿心脏移植患者家中使用容积吸收式微采样和平行反应监测质谱法测量他克莫司血槽值
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-12-02 DOI: 10.1016/j.jmsacl.2023.11.004
Junfang Zhao , Kenneth D.R. Setchell , Xueheng Zhao , Stephanie Galandi , BreAnn N Garr , Zhiqian Gao , Clifford Chin , Shelly Stark , Paul E. Steele , Thomas D. Ryan

Background

Measurement of trough levels for calcineurin inhibitors by venipuncture sampling is a mainstay of patient management in solid organ transplant recipients but challenging in pediatric patients. Volumetric Absorptive Microsampling (VAMS) is a patient-friendly, minimally invasive sampling technique to accurately collect blood. An assay for measurement of tacrolimus in blood using VAMS, coupled with parallel reaction monitoring (PRM) mass spectrometry, was validated in pediatric heart transplant patients.

Methods

Tacrolimus was measured by a newly developed high-resolution PRM assay and compared with low-resolution tandem mass spectrometry (MRM). Dried blood samples were collected from pediatric heart transplant patients (n = 35) using VAMS devices and a satisfaction survey was completed by patients/guardians. Tacrolimus concentrations were compared across whole liquid blood, dried blood spots, and capillary blood, and shipping stability determined.

Results

The PRM assay was linear over a range 1–50 ng/mL, similar to MRM but had greater specificity due to reduced background noise. No significant differences in tacrolimus concentrations were observed between VAMS and venous blood. Tacrolimus dried on VAM tips was stable for 14 days and concentrations were unaffected by postal shipping. The variability in two simultaneously collected at-home patient samples was minimal – average concentration difference was 0.12 ± 0.94 ng/mL (p = 0.6) between paired samples.

Conclusion

A high resolution PRM mass spectrometry assay was developed for home-based dried blood collections for therapeutic monitoring of tacrolimus. The advantage of PRM was enhanced specificity and the VAMS devices provided a simple and convenient approach to blood sampling at home in pediatric heart transplant patients.

背景通过静脉穿刺采样测量钙神经蛋白抑制剂的谷值水平是实体器官移植受者患者管理的主要方法,但对儿科患者来说却具有挑战性。体积吸收微量采样(VAMS)是一种方便患者的微创采样技术,可准确采集血液。方法采用新开发的高分辨率 PRM 法测定血液中的他克莫司,并与低分辨率串联质谱法(MRM)进行比较。使用 VAMS 设备收集小儿心脏移植患者(35 人)的干血样本,并由患者/监护人填写满意度调查表。结果PRM测定在1-50纳克/毫升范围内呈线性,与MRM相似,但由于背景噪声降低,特异性更高。在 VAMS 和静脉血中未观察到他克莫司浓度的明显差异。干燥在 VAM 顶端的他克莫司在 14 天内保持稳定,浓度不受邮寄影响。两个同时采集的患者居家样本的变异性极小--配对样本之间的平均浓度差异为 0.12 ± 0.94 ng/mL(p = 0.6)。PRM 的优点是特异性更强,而 VAMS 设备为小儿心脏移植患者在家采血提供了一种简单方便的方法。
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引用次数: 0
Exploring Streptococcus pneumoniae capsular typing through MALDI-TOF mass spectrometry and machine-learning algorithms in Argentina: Identifying prevalent NON PCV13 serotypes alongside PCV13 serotypes 通过MALDI-TOF质谱和机器学习算法探索阿根廷肺炎链球菌荚膜分型:确定流行的非PCV13血清型和PCV13血清型
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-11-01 DOI: 10.1016/j.jmsacl.2023.11.003
Jonathan Zintgraff , Florencia Rocca , Nahuel Sánchez Eluchans , Lucía Irazu , Maria Alicia Moscoloni , Claudia Lara , Mauricio Santos
<div><h3>Introduction</h3><p>Laboratory surveillance of <em>Streptococcus pneumoniae</em> serotypes plays a crucial role in effectively implementing vaccines to prevent invasive pneumococcal diseases. The conventional method of serotyping, known as the Quellung reaction, is both time-consuming and expensive. However, the emergence of MALDI-TOF MS technology has revolutionized microbiology laboratories by enabling rapid and cost-effective serotyping based on protein profiles.</p></div><div><h3>Objectives</h3><p>In this study, we aimed to investigate the viability of utilizing MALDI-TOF MS technology as an adjunctive and screening method for capsular typing of <em>Streptococcus pneumoniae</em>. Our approach involved developing classification models based on MALDI-TOF MS to discern between <em>Streptococcus pneumoniae</em> strains originating from PCV13 (13-valent pneumococcal conjugate vaccine) and NON PCV13 isolates.</p></div><div><h3>Methods</h3><p>Firstly, we established a comprehensive spectral database comprising isolates of serotypes present in the PCV13 vaccine, along with the top 10 most prevalent NON PCV13 serotypes based on local epidemiological data. This database served as a foundation for developing unsupervised models utilizing MALDI-TOF MS spectra, which enabled us to identify inherent patterns and relationships within the data. Our analysis involved a dataset comprising 215 new isolates collected from nationwide surveillance in Argentina. Our approach involved developing classification models based on MALDI-TOF MS to discern between <em>Streptococcus pneumoniae</em> strains originating from PCV13 (13-valent pneumococcal conjugate vaccine) and NON PCV13 isolates.</p></div><div><h3>Results</h3><p>Although our findings revealed suboptimal performance in serotype classification, they provide valuable insights into the potential of machine learning algorithms in this context. The sensitivity of the models ranged from 0.41 to 0.46, indicating their ability to detect certain serotypes. The observed specificity consistently remained at 0.60, suggesting a moderate level of accuracy in identifying non-vaccine serotypes. These results highlight the need for further refinement and optimization of the algorithms to enhance their discriminative power and predictive accuracy in serotype identification.</p><p>By addressing the limitations identified in this study, such as exploring alternative feature selection techniques or optimizing algorithm parameters, we can unlock the full potential of machine learning in robust and reliable serotype classification of <em>S. pneumoniae</em>. Our work not only provides a comprehensive evaluation of multiple machine learning models but also emphasizes the importance of considering their strengths and limitations.</p></div><div><h3>Conclusion</h3><p>Overall, our study contributes to the growing body of research on utilizing MALDI-TOF MS and machine learning algorithms for serotype identification purposes.</p></
肺炎链球菌血清型的实验室监测在有效实施疫苗预防侵袭性肺炎球菌疾病中起着至关重要的作用。被称为Quellung反应的传统血清分型方法既耗时又昂贵。然而,MALDI-TOF质谱技术的出现已经彻底改变了微生物实验室,使基于蛋白质谱的快速和经济高效的血清分型成为可能。目的探讨MALDI-TOF质谱技术作为肺炎链球菌荚膜分型辅助筛选方法的可行性。我们的方法包括建立基于MALDI-TOF质谱的分类模型,以区分来自PCV13(13价肺炎球菌结合疫苗)和非PCV13分离株的肺炎链球菌菌株。方法首先,根据当地流行病学资料,建立包括PCV13疫苗中存在的血清型分离株以及前10名最流行的非PCV13血清型的综合谱数据库。该数据库为利用MALDI-TOF质谱开发无监督模型奠定了基础,使我们能够识别数据中的固有模式和关系。我们的分析涉及一个数据集,包括从阿根廷全国监测中收集的215个新分离株。我们的方法包括建立基于MALDI-TOF质谱的分类模型,以区分来自PCV13(13价肺炎球菌结合疫苗)和非PCV13分离株的肺炎链球菌菌株。尽管我们的研究结果揭示了血清型分类的次优性能,但它们为机器学习算法在这方面的潜力提供了有价值的见解。模型的灵敏度在0.41到0.46之间,表明它们能够检测某些血清型。观察到的特异性始终保持在0.60,表明在识别非疫苗血清型方面具有中等水平的准确性。这些结果表明,需要进一步改进和优化算法,以提高其在血清型鉴定中的判别能力和预测准确性。通过解决本研究中发现的局限性,例如探索替代特征选择技术或优化算法参数,我们可以释放机器学习在稳健可靠的肺炎链球菌血清型分类中的全部潜力。我们的工作不仅提供了多种机器学习模型的综合评估,而且强调了考虑它们的优势和局限性的重要性。总的来说,我们的研究为利用MALDI-TOF质谱和机器学习算法进行血清型鉴定的研究做出了贡献。
{"title":"Exploring Streptococcus pneumoniae capsular typing through MALDI-TOF mass spectrometry and machine-learning algorithms in Argentina: Identifying prevalent NON PCV13 serotypes alongside PCV13 serotypes","authors":"Jonathan Zintgraff ,&nbsp;Florencia Rocca ,&nbsp;Nahuel Sánchez Eluchans ,&nbsp;Lucía Irazu ,&nbsp;Maria Alicia Moscoloni ,&nbsp;Claudia Lara ,&nbsp;Mauricio Santos","doi":"10.1016/j.jmsacl.2023.11.003","DOIUrl":"https://doi.org/10.1016/j.jmsacl.2023.11.003","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Introduction&lt;/h3&gt;&lt;p&gt;Laboratory surveillance of &lt;em&gt;Streptococcus pneumoniae&lt;/em&gt; serotypes plays a crucial role in effectively implementing vaccines to prevent invasive pneumococcal diseases. The conventional method of serotyping, known as the Quellung reaction, is both time-consuming and expensive. However, the emergence of MALDI-TOF MS technology has revolutionized microbiology laboratories by enabling rapid and cost-effective serotyping based on protein profiles.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Objectives&lt;/h3&gt;&lt;p&gt;In this study, we aimed to investigate the viability of utilizing MALDI-TOF MS technology as an adjunctive and screening method for capsular typing of &lt;em&gt;Streptococcus pneumoniae&lt;/em&gt;. Our approach involved developing classification models based on MALDI-TOF MS to discern between &lt;em&gt;Streptococcus pneumoniae&lt;/em&gt; strains originating from PCV13 (13-valent pneumococcal conjugate vaccine) and NON PCV13 isolates.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;p&gt;Firstly, we established a comprehensive spectral database comprising isolates of serotypes present in the PCV13 vaccine, along with the top 10 most prevalent NON PCV13 serotypes based on local epidemiological data. This database served as a foundation for developing unsupervised models utilizing MALDI-TOF MS spectra, which enabled us to identify inherent patterns and relationships within the data. Our analysis involved a dataset comprising 215 new isolates collected from nationwide surveillance in Argentina. Our approach involved developing classification models based on MALDI-TOF MS to discern between &lt;em&gt;Streptococcus pneumoniae&lt;/em&gt; strains originating from PCV13 (13-valent pneumococcal conjugate vaccine) and NON PCV13 isolates.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;p&gt;Although our findings revealed suboptimal performance in serotype classification, they provide valuable insights into the potential of machine learning algorithms in this context. The sensitivity of the models ranged from 0.41 to 0.46, indicating their ability to detect certain serotypes. The observed specificity consistently remained at 0.60, suggesting a moderate level of accuracy in identifying non-vaccine serotypes. These results highlight the need for further refinement and optimization of the algorithms to enhance their discriminative power and predictive accuracy in serotype identification.&lt;/p&gt;&lt;p&gt;By addressing the limitations identified in this study, such as exploring alternative feature selection techniques or optimizing algorithm parameters, we can unlock the full potential of machine learning in robust and reliable serotype classification of &lt;em&gt;S. pneumoniae&lt;/em&gt;. Our work not only provides a comprehensive evaluation of multiple machine learning models but also emphasizes the importance of considering their strengths and limitations.&lt;/p&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusion&lt;/h3&gt;&lt;p&gt;Overall, our study contributes to the growing body of research on utilizing MALDI-TOF MS and machine learning algorithms for serotype identification purposes.&lt;/p&gt;&lt;/","PeriodicalId":52406,"journal":{"name":"Journal of Mass Spectrometry and Advances in the Clinical Lab","volume":"30 ","pages":"Pages 61-73"},"PeriodicalIF":2.2,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667145X23000366/pdfft?md5=982e9a1f5c8f09914eab8542dde22c4a&pid=1-s2.0-S2667145X23000366-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138453575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cheaper, faster, simpler trypsin digestion for high-throughput targeted protein quantification 更便宜,更快,更简单的胰蛋白酶消化,用于高通量靶向蛋白质定量
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-11-01 DOI: 10.1016/j.jmsacl.2023.11.002
Christopher M. Shuford, Russell P. Grant

Introduction

LC-MS-based methods for protein quantification have a stigma of being relatively expensive and low-throughput. This is partly due to the cost and speed of trypsin digestion, which has primarily focused on advancements in research-based biomarker discovery applications that rely on protein/peptide identifications rather than clinical biomarker quantification. However, there is a need for simple, fast, and reproducibly efficient surrogate peptide recovery in clinical biomarker quantification.

Methods

Multiple methodologies were evaluated to enhance tryptic digestion for the analysis of thyroglobulin, a prototypical serum protein biomarker. The main criteria for assessment were the yield and speed of formation of surrogate peptides. Various factors such as different additives, types of trypsin, microwave- and pressure-assisted systems, and enzyme concentration were considered as key variables, in addition to digestion time.

Results

It was observed that digestion additives/denaturants had a significant impact on the speed and yield of digestion for each surrogate peptide. Increasing the concentration of trypsin alone was found to accelerate digestions appreciably for most surrogate peptides, without affecting the yield. However, the use of sequencing-grade trypsins and microwave/pressure-assisted systems did not offer significant advantages over the use of 'standard-grade' TPCK-treated trypsin in combination with a conventional incubator, once digestion time and additive had been optimized.

Conclusion

We have dispelled the notion that trypsin digestion is inherently slow and expensive for targeted quantification of serum proteins. Additionally, we have established a groundwork for experimentation that can pave the way for the creation of efficient trypsin digestion protocols, aiming to optimize yield, speed, and cost. It is our hope that these advancements will promote the wider incorporation of such assays in clinical laboratories.

基于lc - ms的蛋白质定量方法具有相对昂贵和低通量的缺点。这部分是由于胰蛋白酶消化的成本和速度,主要集中在基于研究的生物标志物发现应用的进展,这些应用依赖于蛋白质/肽鉴定而不是临床生物标志物量化。然而,在临床生物标志物定量中,需要一种简单、快速、可重复高效的替代肽恢复方法。方法采用多种方法对甲状腺球蛋白(一种典型的血清蛋白生物标志物)进行胰消化分析。评估的主要标准是替代肽的产量和形成速度。除了消化时间外,各种因素,如不同的添加剂、胰蛋白酶类型、微波和压力辅助系统、酶浓度等都被认为是关键变量。结果消化添加剂/变性剂对各代肽的消化速度和产率有显著影响。发现单独增加胰蛋白酶的浓度可以明显地加速大多数替代肽的消化,而不影响产量。然而,一旦消化时间和添加剂得到优化,使用测序级胰蛋白酶和微波/压力辅助系统并不比使用“标准级”tpck处理胰蛋白酶与传统培养箱相结合具有显著优势。结论我们已经消除了胰蛋白酶消化固有的缓慢和昂贵的血清蛋白靶向定量的概念。此外,我们已经为实验奠定了基础,可以为创建高效胰蛋白酶消化方案铺平道路,旨在优化产量,速度和成本。我们希望这些进步将促进临床实验室更广泛地采用这种检测方法。
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引用次数: 0
Molecular and translational biology of the blood-based VeriStrat® proteomic test used in cancer immunotherapy treatment guidance 用于癌症免疫治疗指导的基于血液的VeriStrat®蛋白质组学检测的分子和翻译生物学
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-11-01 DOI: 10.1016/j.jmsacl.2023.11.001
Matthew A. Koc , Timothy Aaron Wiles , Daniel C. Weinhold, Steven Rightmyer, Amanda L. Weaver, Colin T. McDowell, Joanna Roder, Senait Asmellash, Gary A. Pestano, Heinrich Roder, Robert W. Georgantas III

Introduction

The VeriStrat® test (VS) is a blood-based assay that predicts a patient's response to therapy by analyzing eight features in a spectrum obtained from matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) analysis of human serum and plasma. In a recent analysis of the INSIGHT clinical trial (NCT03289780), it was found that the VS labels, VS Good and VS Poor, can effectively predict the responsiveness of non-small cell lung cancer (NSCLC) patients to immune checkpoint inhibitor (ICI) therapy. However, while VS measures the intensities of spectral features using MALDI-TOF analysis, the specific proteoforms underlying these features have not been comprehensively identified.

Objectives

The objective of this study was to identify the proteoforms that are measured by VS.

Methods

To resolve the features obtained from the low-resolution MALDI-TOF procedure used to acquire mass spectra for VS DeepMALDI® analysis of serum was employed. This technique allowed for the identification of finer peaks within these features. Additionally, a combination of reversed-phase fractionation and liquid chromatography-tandem mass spectrometry (LC-MS/MS) was then used to identify the proteoforms associated with these peaks.

Results

The analysis revealed that the primary constituents of the spectrum measured by VS are serum amyloid A1, serum amyloid A2, serum amyloid A4, C-reactive protein, and beta-2 microglobulin.

Conclusion

Proteoforms involved in host immunity were identified as significant components of these features. This newly acquired information improves our understanding of how VS can accurately predict patient response to therapy. It opens up additional studies that can expand our understanding even further.

介绍:VeriStrat®测试(VS)是一种基于血液的检测方法,通过分析从基质辅助激光解吸/电离飞行时间(MALDI-TOF)分析中获得的光谱中的八个特征来预测患者对治疗的反应。在最近的INSIGHT临床试验(NCT03289780)分析中,发现VS标记,VS Good和VS Poor,可以有效预测非小细胞肺癌(NSCLC)患者对免疫检查点抑制剂(ICI)治疗的反应性。然而,虽然VS使用MALDI-TOF分析测量光谱特征的强度,但这些特征背后的特定蛋白质形态尚未得到全面鉴定。方法对低分辨率MALDI-TOF程序获得的特征进行解析,并采用DeepMALDI®进行血清的质谱分析。这种技术允许在这些特征中识别更细的峰。此外,反相分离和液相色谱-串联质谱(LC-MS/MS)相结合,然后用于鉴定与这些峰相关的蛋白质形态。结果VS测定的光谱主要成分为血清淀粉样蛋白A1、血清淀粉样蛋白A2、血清淀粉样蛋白A4、c反应蛋白和β -2微球蛋白。结论参与宿主免疫的蛋白质形式是这些特征的重要组成部分。这一新获得的信息提高了我们对VS如何准确预测患者对治疗反应的理解。它开启了更多的研究,可以进一步扩大我们的理解。
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引用次数: 0
Matrix-matched calibrators are necessary for robust and high-quality dried blood spots lead screening assays by inductively coupled plasma-mass spectrometry 基质匹配校准器是可靠和高质量的干血斑铅筛选测定电感耦合等离子体质谱所必需的
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-11-01 DOI: 10.1016/j.jmsacl.2023.10.002
Jessica M. Colón Franco , Rogers A. Muldrow , Wendy Cieslak , Patrick DeArmond , Cody Orahoske , Drew Payto , Dina N. Greene , Dustin Bunch

Background and aims

Reliable lead screening methods are necessary to support early identification of lead exposure in children. Sample collection using dried blood spots (DBS) offers advantages compared to traditional venipuncture and capillary collection. Here, we describe and compare three lead DBS inductively coupled plasma-mass spectrometry (ICP-MS) methods for lead screening.

Materials and methods

Lead was extracted from Whatman 903 protein saver cards punches and analyzed by ICP-MS across three independent clinical laboratories. Each laboratory evaluated the performance of aqueous and matrix-matched DBS calibrators using external quality control samples (WI State of Laboratory of Hygiene Program). Leftover patient samples (n = 39) were used for an interlaboratory comparison of lead DBS. Lead DBS results were compared to whole blood methods.

Results

The DBS ICP-MS methods using matrix-matched DBS calibrators had superior performance to the aqueous calibrations. There was a strong correlation between lead measured in DBS (matrix-matched) and whole blood for the three methods evaluated.

Conclusion

Lead can be measured accurately by ICP-MS in DBS samples when matrix-matched calibrators are used. External quality control programs are valuable to assess the performance of DBS methods. DBS lead ICP-MS methods are a robust analytical option for lead screening even though the limitations of DBS are well recognized.

背景和目的可靠的铅筛查方法对于早期识别儿童铅暴露是必要的。与传统的静脉穿刺和毛细管采集相比,使用干血点(DBS)采集样本具有优势。在这里,我们描述并比较了三种铅DBS电感耦合等离子体质谱(ICP-MS)筛选铅的方法。材料和方法从Whatman 903蛋白保存卡冲孔中提取铅,并在三个独立的临床实验室进行ICP-MS分析。每个实验室使用外部质量控制样品(WI卫生计划实验室状态)评估了水性和基质匹配DBS校准器的性能。剩余的患者样本(n = 39)用于铅DBS的实验室间比较。铅DBS结果与全血法比较。结果采用基质匹配DBS校准剂的DBS ICP-MS方法优于水相校准方法。在三种评估方法中,DBS(基质匹配)和全血中测得的铅有很强的相关性。结论采用基质匹配校准器,ICP-MS能准确测定DBS样品中的铅。外部质量控制程序对于评估DBS方法的性能是有价值的。DBS铅ICP-MS方法是一种强大的分析选择,用于铅筛选,即使DBS的局限性是公认的。
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引用次数: 0
Improving LC-MS/MS measurements of steroids with differential mobility spectrometry 用差示迁移率光谱法改进类固醇的LC-MS/MS测量
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-10-09 DOI: 10.1016/j.jmsacl.2023.10.001
Yubo Chai , Stefan K.G. Grebe , Anthony Maus

Introduction

Steroid measurements are important for diagnosis and monitoring of many conditions and treatment regiments; however, due to structural and chemical similarities amongst steroids, these analyses are challenging, even for highly specific techniques such as liquid chromatography-tandem mass spectrometry (LC-MS/MS). Differential mobility spectrometry (DMS) has the potential to improve these analyses by providing an orthogonal and complementary separation technique.

Methods

Initially, the potential for DMS to improve signal-to-noise ratio (S/N) and reduce interference was tested by comparing chromatograms acquired with and without DMS when performing measurements of six different steroids. Subsequently, a full clinical validation of cortisol and cortisone in urine was performed with the LC-DMS-MS/MS method.

Results and Discussion

DMS significantly reduced interferences observed in the chromatograms and boosted S/N by between 1.6 and 13.8 times. Additionally, DMS improved the agreement between quantifier/qualifier fragment ion results for cortisol and cortisone as indicated by the increase in R2 from approximately 0.81 to 0.98. All validation studies met acceptance criteria and we observed exceptional analytical performance in terms of precision, with % CVs less than 8%.

Conclusions

DMS improved the specificity of the steroid measurements by reducing interferences and improving S/N. The validation studies prove that these benefits did not come at the expense of other aspects of analytical performance. This study indicates that DMS has the potential to benefit not just clinical measurements of challenging analytes, but many clinical LC-MS/MS analyses.

类固醇测量对许多疾病和治疗方案的诊断和监测很重要;然而,由于类固醇之间的结构和化学相似性,这些分析具有挑战性,即使对于液相色谱-串联质谱法(LC-MS/MS)等高度特异性的技术也是如此。差示迁移率光谱法(DMS)有可能通过提供正交和互补的分离技术来改进这些分析。方法最初,通过比较在测量六种不同类固醇时使用和不使用DMS获得的色谱图,测试DMS提高信噪比(S/N)和减少干扰的潜力。随后,使用LC-DMS-MS/MS方法对尿液中的皮质醇和可的松进行了全面的临床验证。结果和讨论DMS显著减少了色谱图中观察到的干扰,并将S/N提高了1.6至13.8倍。此外,DMS改善了皮质醇和可的松的量词/限定符片段离子结果之间的一致性,R2从大约0.81增加到0.98。所有验证研究都符合验收标准,我们观察到在精密度方面具有卓越的分析性能,%CVs小于8%。结论sDMS通过减少干扰和提高S/N来提高类固醇测量的特异性。验证研究证明,这些好处并不是以牺牲分析性能的其他方面为代价的。这项研究表明,DMS不仅有可能使具有挑战性的分析物的临床测量受益,而且有可能使许多临床LC-MS/MS分析受益。
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引用次数: 0
Assessing variations in manual pipetting: An under-investigated requirement of good laboratory practice 评估手动移液的变化:良好实验室实践的一项未充分研究的要求
IF 2.2 4区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Pub Date : 2023-10-08 DOI: 10.1016/j.jmsacl.2023.09.001
Xue Li Guan , Dorothy Pei Shan Chang , Zhen Xuan Mok , Bernett Lee

Pipettes are essential tools for biomedical and analytical laboratories, analogous to workstations for computer scientists. Variation in pipetting is a known unknown, as it is generally accepted that variations exist, but thus far, there have been limited studies on the extent of these variations in practice. In this mini-review, we highlight how manual pipetting is a key technique in the laboratory, and, although simple, inaccuracy and imprecision exist. If variations are not adequately addressed, errors can be compounded and consequently compromise data quality. Determination of the accuracy and precision of manual pipetting is straightforward, and here we review two common approaches that use gravimetry and spectrophotometry as readouts. We also provide detailed protocols for determination of accuracy and precision using manual single and multi-channel pipettes. These simple-to-use methods can be used by any laboratory for competency training and regular checks. Having a common protocol for evaluation of variation will also enable cross-laboratory comparison and potentially facilitate establishment of a reference value of acceptable ranges for operator error. Such a value could be of relevance to the scientific community for benchmarking and assuring good laboratory practice.

移液管是生物医学和分析实验室的基本工具,类似于计算机科学家的工作站。移液中的变异是一个已知的未知因素,因为人们普遍认为存在变异,但到目前为止,对这些变异在实践中的程度的研究有限。在这篇小综述中,我们强调了手动移液是实验室中的一项关键技术,尽管很简单,但仍存在不准确和不精确的问题。如果没有充分解决变化,错误可能会加剧,从而影响数据质量。手动移液的准确性和精密度的测定很简单,在这里我们回顾了两种常用的方法,即使用重量法和分光光度法作为读数。我们还提供了使用手动单通道和多通道移液管测定准确度和精密度的详细协议。任何实验室都可以使用这些简单易用的方法进行能力培训和定期检查。有一个用于评估变化的通用协议也将实现跨实验室比较,并可能有助于建立操作员误差可接受范围的参考值。这一价值可能与科学界制定基准和确保良好实验室实践有关。
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引用次数: 0
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Journal of Mass Spectrometry and Advances in the Clinical Lab
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