Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
Department of Physical Therapy and Human Movement Sciences, Northwestern University, Feinberg School of Medicine, Chicago, Illinois.
JAMA Netw Open. 2022 Dec 1;5(12):e2248593. doi: 10.1001/jamanetworkopen.2022.48593.
Peripheral neuropathies are common conditions and can result in numbness, paresthesia, motor deficits, and pain. There is increasing evidence for the use of biomarkers as clinical indicators of the presence, severity, and prognosis of nerve lesions; however, biomarker identification has largely been focused on disorders of the central nervous system, and less is known about their role in the peripheral nervous system.
To assess blood-based biomarker concentrations associated with nerve involvement in patients with peripheral neuropathy compared with control participants.
Ovid, MEDLINE, Embase, and CINAHL were searched from inception to September 23, 2021.
Observational studies reporting on blood biomarkers in patients diagnosed with peripheral neuropathy were included. This review was preregistered on PROSPERO and followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guideline. Data were abstracted by 1 investigator and independently reviewed by a second.
Data were meta-analyzed when at least 2 studies reported the same biomarker with comparable methodology. Fixed-effects models were used when only 2 studies were included; random-effects models were used when more than 2 studies were included.
The outcome of interest was concentration of biomarkers.
This review included 36 studies reporting on 4414 participants, including 2113 control participants and 2301 patients with peripheral neuropathy with 13 distinct peripheral neuropathy diagnoses. Diabetic neuropathy was the most common neuropathy diagnosis (13 studies), followed by Charcot-Marie-Tooth disease (6 studies) and Guillain-Barre syndrome (6 studies). Overall, 16 different blood-based biomarkers associated with nerve involvement were evaluated. The most used were neurofilament light chain, S100B, brain-derived neurotrophic factor, and neuron-specific enolase. Patients with peripheral neuropathy demonstrated significantly higher levels of neurofilament light chain compared with controls (standardized mean difference [SMD], 0.93 [95% CI, 0.82 to 1.05]; P < .001). There were no significant differences in levels of S100B (SMD, 1.10 [95% CI, -3.08 to 5.28]; P = .38), brain-derived neurotrophic factor (SMD, -0.52 [95% CI, -2.23 to 1.19]; P = .40), or neuron-specific enolase (SMD, -0.00 [95% CI, -1.99 to 1.98]; P = .10) in patients with peripheral neuropathy compared with control participants.
The findings of this systematic review and meta-analysis support the use of neurofilament light chain as a blood-based measure associated with the presence of neuronal injury in patients with peripheral neuropathy.
周围神经病变是常见病症,可导致麻木、感觉异常、运动功能障碍和疼痛。越来越多的证据表明,生物标志物可用作神经病变存在、严重程度和预后的临床指标;然而,生物标志物的鉴定主要集中在中枢神经系统紊乱上,而对其在外周神经系统中的作用知之甚少。
评估与对照组参与者相比,患有周围神经病患者的血液生物标志物浓度与神经受累的相关性。
从建库到 2021 年 9 月 23 日,在 Ovid、MEDLINE、Embase 和 CINAHL 中进行了检索。
纳入了报告外周神经病患者血液生物标志物的观察性研究。本综述在 PROSPERO 上预先注册,并遵循系统评价和荟萃分析的首选报告项目(PRISMA)报告指南。由一名调查员提取数据,并由第二名调查员独立进行审查。
至少有 2 项研究报告了相同的具有可比性方法学的生物标志物时,对数据进行了荟萃分析。当只包括 2 项研究时,使用固定效应模型;当包括超过 2 项研究时,使用随机效应模型。
感兴趣的结局是生物标志物的浓度。
本综述纳入了 36 项研究,共涉及 4414 名参与者,包括 2113 名对照组参与者和 2301 名患有周围神经病的参与者,其中有 13 种不同的周围神经病诊断。糖尿病周围神经病是最常见的周围神经病诊断(13 项研究),其次是夏科-马里-图什病(6 项研究)和格林-巴利综合征(6 项研究)。总体而言,评估了 16 种不同的与神经受累相关的血液生物标志物。最常用的是神经丝轻链、S100B、脑源性神经营养因子和神经元特异性烯醇化酶。与对照组相比,患有周围神经病的患者神经丝轻链水平显著升高(标准化均数差 [SMD],0.93 [95%CI,0.82 至 1.05];P < 0.001)。S100B(SMD,1.10 [95%CI,-3.08 至 5.28];P = 0.38)、脑源性神经营养因子(SMD,-0.52 [95%CI,-2.23 至 1.19];P = 0.40)或神经元特异性烯醇化酶(SMD,-0.00 [95%CI,-1.99 至 1.98];P = 0.10)在患有周围神经病的患者与对照组参与者之间无显著差异。
本系统评价和荟萃分析的结果支持将神经丝轻链作为一种与外周神经病患者神经元损伤相关的血液测量方法。