Implications of monoclonal gammopathy and isoelectric focusing pattern 5 on the free light chain kappa diagnostics in cerebrospinal fluid.

IF 3.8 2区 医学 Q1 MEDICAL LABORATORY TECHNOLOGY Clinical chemistry and laboratory medicine Pub Date : 2024-07-23 DOI:10.1515/cclm-2023-1468
Malte J Hannich, Franz F Konen, Konrad Gag, Aiham Alkhayer, Seda N Türker, Kathrin Budde, Matthias Nauck, Ulrich Wurster, Alexander Dressel, Thomas Skripuletz, Marie Süße
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Abstract

Objectives: Oligoclonal bands (OCB) analysis is the reference standard for detecting an intrathecal IgG synthesis. Alongside OCB, free light chains kappa (FLCκ) are considered an additional sensitive biomarker for determining patterns 2 or 3, indicating intrathecal Ig synthesis. However, kFLC IF is not suitable for detecting a monoclonal pattern 5. The primary aim of this study was to evaluate the impact of incorporating FLCκ analysis into routine cerebrospinal fluid (CSF) diagnostics instead of OCB testing on the rate of missed monoclonal IgG detection.

Methods: A two-center retrospective biomarker study was conducted. OCB were identified using isoelectric focusing in polyacrylamide gels followed by silver staining or in agarose gels followed by immunofixation. FLCκ were quantified using nephelometry and FLCκ assay (Siemens).

Results: Out of a combined total of 17,755 OCB analyses conducted between 2011 and 2021, a subset of 269 cases (1.5 %) exhibited pattern 5. 98 samples (36 %), which included 18 samples with intrathecal inflammation as determined by additional OCB pattern 2 were included in the FLCκ analysis. Of those, 16 (89 %) had intrathecal FLCκ synthesis.

Conclusions: While FLCκ offers a promising avenue for detecting an intrathecal inflammation, the pattern 5, though rare, remains a valuable additional finding of OCB analysis. A combined approach of FLCκ and OCB analysis is recommended for a comprehensive assessment of the humoral intrathecal immune response.

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单克隆丙种球蛋白病和等电聚焦模式 5 对脑脊液中游离轻链 kappa 诊断的影响。
目的:少克隆带(OCB)分析是检测鞘内 IgG 合成的参考标准。除 OCB 外,游离轻链 kappa(FLCκ)也被认为是确定模式 2 或 3 的另一个敏感生物标志物,表明鞘内 Ig 合成。然而,kFLC IF 并不适合检测单克隆模式 5。本研究的主要目的是评估将FLCκ分析纳入常规脑脊液(CSF)诊断而非OCB检测对单克隆IgG漏检率的影响:方法:进行了一项双中心回顾性生物标记物研究。在聚丙烯酰胺凝胶中进行等电聚焦,然后进行银染色;或在琼脂糖凝胶中进行等电聚焦,然后进行免疫固定。FLCκ的定量采用的是尼泊金测定法和FLCκ测定法(西门子):结果:在 2011 年至 2021 年期间进行的总共 17,755 例 OCB 分析中,有 269 例(1.5%)表现出模式 5。98份样本(36%)被纳入FLCκ分析,其中包括18份由附加OCB模式2确定的鞘内炎症样本。其中,16 个样本(89%)有鞘内 FLCκ 合成:结论:虽然 FLCκ 为检测鞘内炎症提供了一个很有前景的途径,但模式 5 虽然罕见,仍然是 OCB 分析的一个有价值的额外发现。建议采用 FLCκ 和 OCB 分析相结合的方法来全面评估鞘内体液免疫反应。
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来源期刊
Clinical chemistry and laboratory medicine
Clinical chemistry and laboratory medicine 医学-医学实验技术
CiteScore
11.30
自引率
16.20%
发文量
306
审稿时长
3 months
期刊介绍: Clinical Chemistry and Laboratory Medicine (CCLM) publishes articles on novel teaching and training methods applicable to laboratory medicine. CCLM welcomes contributions on the progress in fundamental and applied research and cutting-edge clinical laboratory medicine. It is one of the leading journals in the field, with an impact factor over 3. CCLM is issued monthly, and it is published in print and electronically. CCLM is the official journal of the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) and publishes regularly EFLM recommendations and news. CCLM is the official journal of the National Societies from Austria (ÖGLMKC); Belgium (RBSLM); Germany (DGKL); Hungary (MLDT); Ireland (ACBI); Italy (SIBioC); Portugal (SPML); and Slovenia (SZKK); and it is affiliated to AACB (Australia) and SFBC (France). Topics: - clinical biochemistry - clinical genomics and molecular biology - clinical haematology and coagulation - clinical immunology and autoimmunity - clinical microbiology - drug monitoring and analysis - evaluation of diagnostic biomarkers - disease-oriented topics (cardiovascular disease, cancer diagnostics, diabetes) - new reagents, instrumentation and technologies - new methodologies - reference materials and methods - reference values and decision limits - quality and safety in laboratory medicine - translational laboratory medicine - clinical metrology Follow @cclm_degruyter on Twitter!
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