Comparability evaluation of serum and plasma cytokine levels by multiplex bead-based flow cytometry

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Xiaoran Feng , Wenrong Zou , Pan Li , Kai Guo , Yating Ma , Gaofeng Hu , Jian Kang , Xinjian Yu , Mingting Peng
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Abstract

Background and aims

Serum and plasma are the most common matrices for cytokine assays. Nevertheless, there is a lack of comparability evaluation for cytokine levels in two matrices based on multiplex bead-based flow cytometry. The study aimed to evaluate the comparability of IL-6, IL-8, and IL-10 serum- and plasma-based measurement results using flow cytometry.

Materials and methods

The serum and EDTA-K2 plasma were collected from three cohorts of hematologic malignancy patients (n = 66, 75, and 37, respectively) to evaluate comparability of IL-6, IL-8, and IL-10 measurement results using QuantoBio 14-plex cytokine kit on the BeamCyte-1026 flow cytometry. The Passing-Bablok regression was performed between serum- and plasma-based levels of cytokines. Additionally, the relative deviation of cytokine measurement results from the two matrices was compared with the allowable limits from the China National External Quality Assessment cytokine program.

Results

The results revealed a relatively high correlation in IL-6, IL-8, and IL-10 levels between serum and plasma, with correlation coefficients of 0.966, 0.924, and 0.985, respectively. However, the comparability in the two matrices was unsatisfactory. Compared to plasma, the relative deviation of IL-6, IL-8, and IL-10 in serum was 74.8 %, −29.3 %, and 46.5 %, respectively, and only 20 % (IL-6), 31 % (IL-8), and 38 % (IL-10) of samples met allowable limits.

Conclusions

Poor comparability was found between serum- and plasma-based measurement results. Moreover, given the great potential of cytokine profiling in diagnosing and treating diseases, there is an urgent need to develop accurate and consistent processing of samples of cytokine assays to improve the accuracy and reproducibility of results and ensure the specimen’s fitness for purpose.
多头颅流式细胞术评价血清和血浆细胞因子水平的可比性
背景和目的血清和血浆是细胞因子检测最常用的基质。然而,基于多头颅流式细胞术的两种基质中细胞因子水平的可比性评估缺乏。本研究旨在评价IL-6、IL-8和IL-10基于血清和血浆的流式细胞术检测结果的可比性。材料与方法采集3组恶性血液病患者(分别为66、75和37例)的血清和EDTA-K2血浆,利用QuantoBio 14-plex细胞因子试剂盒在beamcell -1026流式细胞术上检测IL-6、IL-8和IL-10的结果,评价其可比性。在血清和血浆细胞因子水平之间进行pass - bablok回归。此外,将两种基质的细胞因子测量结果的相对偏差与中国国家外部质量评价细胞因子程序的允许限值进行比较。结果血清与血浆IL-6、IL-8、IL-10水平相关性较高,相关系数分别为0.966、0.924、0.985。然而,这两个矩阵的可比性并不令人满意。与血浆相比,血清中IL-6、IL-8和IL-10的相对偏差分别为74.8%、- 29.3%和46.5%,只有20% (IL-6)、31% (IL-8)和38% (IL-10)的样品符合允许限度。结论血清检测结果与血浆检测结果具有较强的可比性。此外,鉴于细胞因子分析在诊断和治疗疾病方面的巨大潜力,迫切需要开发准确和一致的细胞因子分析样品处理方法,以提高结果的准确性和可重复性,并确保标本的适用性。
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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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