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神经元特异性生物标志物可预测糖尿病周围神经病变患者的痛觉过敏和痛觉减退。

Neuron-specific biomarkers predict hypo- and hyperalgesia in individuals with diabetic peripheral neuropathy.

机构信息

Internal Medicine I and Clinical Chemistry, University Hospital of Heidelberg, Heidelberg, Germany.

German Center for Diabetes Research (DZD), Neuherberg, Germany.

出版信息

Diabetologia. 2021 Dec;64(12):2843-2855. doi: 10.1007/s00125-021-05557-6. Epub 2021 Sep 3.

DOI:10.1007/s00125-021-05557-6
PMID:34480211
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8563617/
Abstract

AIMS/HYPOTHESIS: The individual risk of progression of diabetic peripheral neuropathy is difficult to predict for each individual. Mutations in proteins that are responsible for the process of myelination are known to cause neurodegeneration and display alteration in experimental models of diabetic neuropathy. In a prospective observational human pilot study, we investigated myelin-specific circulating mRNA targets, which have been identified in vitro, for their capacity in the diagnosis and prediction of diabetic neuropathy. The most promising candidate was tested against the recently established biomarker of neural damage, neurofilament light chain protein.

METHODS

Schwann cells were cultured under high-glucose conditions and mRNAs of various myelin-specific genes were screened intra- and extracellularly. Ninety-two participants with type 2 diabetes and 30 control participants were enrolled and evaluated for peripheral neuropathy using neuropathy deficit scores, neuropathy symptom scores and nerve conduction studies as well as quantitative sensory testing at baseline and after 12/24 months of a follow-up period. Magnetic resonance neurography of the sciatic nerve was performed in 37 individuals. Neurofilament light chain protein and four myelin-specific mRNA transcripts derived from in vitro screenings were measured in the serum of all participants. The results were tested for associations with specific neuropathic deficits, fractional anisotropy and the progression of neuropathic deficits at baseline and after 12 and 24 months.

RESULTS

In neuronal Schwann cells and human nerve sections, myelin protein zero was identified as the strongest candidate for a biomarker study. Circulating mRNA of myelin protein zero was decreased significantly in participants with diabetic neuropathy (p < 0.001), whereas neurofilament light chain protein showed increased levels in participants with diabetic neuropathy (p < 0.05). Both variables were linked to altered electrophysiology, fractional anisotropy and quantitative sensory testing. In a receiver-operating characteristic curve analysis myelin protein zero improved the diagnostic performance significantly in combination with a standard model (diabetes duration, age, BMI, HbA) from an AUC of 0.681 to 0.836 for the detection of diabetic peripheral neuropathy. A follow-up study revealed that increased neurofilament light chain was associated with the development of a hyperalgesic phenotype (p < 0.05), whereas decreased myelin protein zero predicted hypoalgesia (p < 0.001) and progressive loss of nerve function 24 months in advance (HR of 6.519).

CONCLUSIONS/INTERPRETATION: This study introduces a dynamic and non-invasive assessment strategy for the underlying pathogenesis of diabetic peripheral neuropathy. The diagnosis of axonal degeneration, associated with hyperalgesia, and demyelination, linked to hypoalgesia, could benefit from the usage of neurofilament light chain protein and circulating mRNA of myelin protein zero as potential biomarkers.

摘要

目的/假设:个体发生糖尿病周围神经病变的风险很难预测。已知负责髓鞘形成过程的蛋白质突变可导致神经退行性变,并在糖尿病周围神经病变的实验模型中显示改变。在一项前瞻性观察性人类初步研究中,我们研究了体外鉴定的髓鞘特异性循环 mRNA 靶标,以评估其在糖尿病神经病变的诊断和预测中的能力。最有前途的候选者在对抗最近建立的神经损伤生物标志物神经丝轻链蛋白时进行了测试。

方法

将雪旺细胞在高葡萄糖条件下培养,并在细胞内和细胞外筛选各种髓鞘特异性基因的 mRNA。招募了 92 名 2 型糖尿病患者和 30 名对照参与者,并使用神经病变缺陷评分、神经病变症状评分和神经传导研究以及定量感觉测试在基线和随访 12/24 个月时对周围神经病变进行评估。对 37 名个体进行坐骨神经磁共振神经成像。在所有参与者的血清中测量神经丝轻链蛋白和来自体外筛选的四种髓鞘特异性 mRNA 转录本。测试结果与特定神经病变缺陷、分数各向异性和基线及 12 个月和 24 个月时神经病变缺陷进展的相关性。

结果

在神经元雪旺细胞和人神经切片中,髓鞘蛋白零被确定为生物标志物研究的最强候选者。糖尿病神经病变患者的髓鞘蛋白零循环 mRNA 显著降低(p<0.001),而神经丝轻链蛋白在糖尿病神经病变患者中升高(p<0.05)。这两个变量都与改变的电生理学、分数各向异性和定量感觉测试有关。在接受者操作特征曲线分析中,髓鞘蛋白零与标准模型(糖尿病病程、年龄、BMI、HbA)结合使用,可显著提高糖尿病周围神经病变的诊断性能,AUC 从 0.681 提高到 0.836。一项随访研究表明,神经丝轻链的增加与痛觉过敏表型的发展有关(p<0.05),而髓鞘蛋白零的降低则预示着痛觉过敏(p<0.001)和神经功能丧失 24 个月提前(HR 为 6.519)。

结论/解释:本研究提出了一种用于糖尿病周围神经病变潜在发病机制的动态和非侵入性评估策略。轴突变性的诊断与痛觉过敏相关,脱髓鞘与痛觉过敏相关,髓鞘蛋白零的神经丝轻链蛋白和循环 mRNA 的使用可能有助于诊断。

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