Analytical validation of a multi-protein, serum-based assay for disease activity assessments in multiple sclerosis.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-05-01 DOI:10.1002/prca.202200018
Ferhan Qureshi, Wayne Hu, Louisa Loh, Hemali Patel, Maria DeGuzman, Michael Becich, Fatima Rubio da Costa, Victor Gehman, Fujun Zhang, John Foley, Tanuja Chitnis
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引用次数: 5

Abstract

Purpose: To characterize and analytically validate the MSDA Test, a multi-protein, serum-based biomarker assay developed using Olink® PEA methodology.

Experimental design: Two lots of the MSDA Test panel were manufactured and subjected to a comprehensive analytical characterization and validation protocol to detect biomarkers present in the serum of patients with multiple sclerosis (MS). Biomarker concentrations were incorporated into a final algorithm used for calculating four Disease Pathway scores (Immunomodulation, Neuroinflammation, Myelin Biology, and Neuroaxonal Integrity) and an overall Disease Activity score.

Results: Analytical characterization demonstrated that the multi-protein panel satisfied the criteria necessary for a fit-for-purpose validation considering the assay's intended clinical use. This panel met acceptability criteria for 18 biomarkers included in the final algorithm out of 21 biomarkers evaluated. VCAN was omitted based on factors outside of analytical validation; COL4A1 and GH were excluded based on imprecision and diurnal variability, respectively. Performance of the four Disease Pathway and overall Disease Activity scores met the established acceptability criteria.

Conclusions and clinical relevance: Analytical validation of this multi-protein, serum-based assay is the first step in establishing its potential utility as a quantitative, minimally invasive, and scalable biomarker panel to enhance the standard of care for patients with MS.

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多发性硬化症疾病活动性评估的多蛋白血清分析验证
目的:表征和分析验证MSDA测试,这是一种使用Olink®PEA方法开发的多蛋白,基于血清的生物标志物检测。实验设计:制造了两批MSDA测试板,并进行了全面的分析表征和验证方案,以检测多发性硬化症(MS)患者血清中存在的生物标志物。生物标志物浓度被纳入最终算法,用于计算四种疾病途径评分(免疫调节、神经炎症、髓磷脂生物学和神经轴突完整性)和总体疾病活动评分。结果:分析表征表明,考虑到该检测的预期临床用途,多蛋白面板满足了适合目的验证所需的标准。该小组符合最终算法中所评估的21个生物标志物中的18个生物标志物的可接受性标准。基于分析验证之外的因素,忽略了VCAN;COL4A1和GH分别因不精确和日变异性被排除在外。四种疾病途径和总体疾病活动评分的表现符合既定的可接受标准。结论和临床意义:这种多蛋白、基于血清的检测方法的分析验证是确立其作为定量、微创和可扩展的生物标志物面板的潜在效用的第一步,以提高MS患者的护理标准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
期刊最新文献
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