From the Department of Neurosciences (J.G., K.P.), Laboratory for Molecular Neurobiomarker Research, Leuven Brain Institute, KU Leuven; Laboratory Medicine (J.G., X.B., K.P.), University Hospitals Leuven; STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics (Y.C., B.D.M.), Department of Electrical Engineering (ESAT), KU Leuven; Department of Endocrinology (C.M.), University Hospitals Leuven; Department of Chronic Diseases and Metabolism (C.M.), Clinical and Experimental Endocrinology; Department of Microbiology, Immunology and Transplantation (L.A., X.B.), Clinical and Diagnostic Immunology, KU Leuven; Department of Neurology (P.V.D., K.G.C.), University Hospitals Leuven; Department of Neurosciences, Experimental Neurology, (P.V.D.) Laboratory of Neurobiology, Leuven Brain Institute, VIB KU Leuven Center for Brain and Disease Research; Department of Neurosciences (K.G.C.), Laboratory for Muscle Diseases and Neuropathies, Leuven Brain Institute, KU Leuven; and Division of Crop Biotechnics, Tropical Crop Improvement Laboratory (S.C.), Department of Biosystems, KU Leuven, Belgium.
Neurol Neuroimmunol Neuroinflamm. 2023 Aug 28;10(6). doi: 10.1212/NXI.0000000000200162. Print 2023 Nov.
Chronic inflammatory demyelinating polyradiculoneuropathy (CIDP) is a clinically heterogeneous immune-mediated disease. Diagnostic biomarkers for CIDP are currently lacking. Peptides derived from the variable domain of circulating immunoglobulin G (IgG) have earlier been shown to be shared among patients with the same immunologic disease. Because humoral immune factors are hypothesized to be involved in the pathogenesis of CIDP, we evaluated IgG variable domain-derived peptides as diagnostic biomarkers in CIDP (primary objective) and whether IgG-derived peptides could cluster objective clinical entities in CIDP (secondary objective).
IgG-derived peptides were determined in prospectively collected sera of patients with CIDP and neurologic controls by means of mass spectrometry. Peptides of interest were selected through statistical analysis in a discovery cohort followed by sequence determination and confirmation. Diagnostic performance was evaluated for individual selected peptides and for a multipeptide model incorporating selected peptides, followed by performance reassessment in a validation cohort. Clustering of patients with CIDP based on IgG-derived peptides was evaluated through unsupervised sparse principal component analysis followed by k-means clustering.
Sixteen peptides originating from the IgG variable domain were selected as candidate biomarkers in a discovery cohort of 44 patients with CIDP and 29 neurologic controls. For all 16 peptides, univariate logistic regressions and ROC curve analysis demonstrated increasing peptide abundances to associate with increased odds for CIDP (area under the curves [AUCs] ranging from 64.6% to 79.6%). When including age and sex in the logistic regression models, this remained the case for 13/16 peptides. A model composed of 5/16 selected peptides showed strong discriminating performance between patients with CIDP and controls (AUC 91.5%; 95% CI 84.6%-98.4%; < 0.001). In the validation cohort containing 45 patients and 43 controls, 2/16 peptides demonstrated increasing abundances to associate with increased odds for CIDP, while the five-peptide model demonstrated an AUC of 61.2% (95% CI 49.3%-73.2%; = 0.064). Peptide-based patient clusters did not associate with clinical features.
IgG variable domain-derived peptides showed a valid source for diagnostic biomarkers in CIDP, albeit with challenges toward replication. Our proof-of-concept findings warrant further study of IgG-derived peptides as biomarkers in more homogeneous cohorts of patients with CIDP and controls.
This study provides Class III evidence that the pattern of serum IgG-derived peptide clusters may help differentiate between patients with CIDP and those with other peripheral neuropathies.
慢性炎症性脱髓鞘性多发性神经病(CIDP)是一种临床表现具有异质性的免疫介导疾病。目前CIDP 的诊断性生物标志物仍缺乏。先前的研究已经表明,来自循环免疫球蛋白 G(IgG)可变区的肽段在患有同种免疫疾病的患者中是共享的。因为体液免疫因素被假设参与了 CIDP 的发病机制,所以我们评估了 IgG 可变区衍生肽段作为 CIDP 的诊断生物标志物(主要目标),以及 IgG 衍生肽段是否可以将 CIDP 中的客观临床实体聚类(次要目标)。
通过质谱法在前瞻性收集的 CIDP 患者和神经科对照者的血清中确定 IgG 衍生肽段。通过对发现队列中的统计分析选择有意义的肽段,然后进行序列测定和确认。对单个选定肽段和纳入选定肽段的多肽模型进行诊断性能评估,然后在验证队列中重新评估性能。通过无监督稀疏主成分分析和 k 均值聚类来评估基于 IgG 衍生肽段的 CIDP 患者聚类。
在包含 44 例 CIDP 患者和 29 例神经科对照者的发现队列中,16 个源自 IgG 可变区的肽段被选为候选生物标志物。对于所有 16 个肽段,单变量逻辑回归和 ROC 曲线分析表明,肽段丰度的增加与 CIDP 的发生几率增加相关(曲线下面积[ AUCs] 范围为 64.6%至 79.6%)。当将年龄和性别纳入逻辑回归模型时,13/16 个肽段仍然如此。由 5/16 个选定肽段组成的模型在 CIDP 患者和对照组之间具有很强的区分性能(AUC 91.5%;95%CI 84.6%至 98.4%;<0.001)。在包含 45 例患者和 43 例对照者的验证队列中,2/16 个肽段的丰度增加与 CIDP 的发生几率增加相关,而五肽模型的 AUC 为 61.2%(95%CI 49.3%至 73.2%;=0.064)。基于肽段的患者聚类与临床特征无关。
IgG 可变区衍生肽段显示出作为 CIDP 诊断生物标志物的有效来源,尽管在复制方面存在挑战。我们的概念验证研究结果证明,在更同质的 CIDP 患者和对照组中,使用 IgG 衍生肽作为生物标志物具有进一步研究的价值。
本研究提供了 III 级证据,表明血清 IgG 衍生肽段的模式可能有助于区分 CIDP 患者与其他周围神经病患者。