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角膜神经纤维大小有助于诊断和评估小纤维神经病患者的治疗反应。

Corneal nerve fiber size adds utility to the diagnosis and assessment of therapeutic response in patients with small fiber neuropathy.

机构信息

Araim Pharmaceuticals, Tarrytown, NY, USA.

Pulmonary Medicine, Cleveland Clinic, Cleveland, OH, USA.

出版信息

Sci Rep. 2018 Mar 16;8(1):4734. doi: 10.1038/s41598-018-23107-w.

Abstract

Small fiber neuropathy (SFN) is a common feature of many inflammatory diseases, often presenting with pain and disability. SFN is diagnosed using symptoms, thermal threshold testing, and intra-epidermal nerve fiber quantification. Corneal confocal microscopy (CCM) is an ophthalmic imaging technique which non-invasively quantifies corneal nerve fiber (CNF) density, branch density and length, and has comparable diagnostic and superior ability to identify nerve regeneration compared to skin biopsy. CNF size (width and area) depends upon the number of fibers within each nerve, as well as pathology (e.g., swelling), and may provide additional sensitivity to diagnose SFN and identify nerve repair. We have compared the utility of the standard CCM variables employed to CNF size in patients with diabetic sensorimotor polyneuropathy or sarcoidosis-associated SFN, and in patients with SFN following cibinetide administration, an agent which promotes nerve repair. The results show that: 1) CNF width distribution and area depend upon neuropathy severity; 2) CNF area, density, branch density and length possess comparable discriminatory power for diagnosing neuropathy; 3) CNF area is related to length by a quadratic function which is predictive for both healthy subjects and those with SFN; 4) CNF area is a useful variable for quantifying change in CNF morphology.

摘要

小纤维神经病 (SFN) 是许多炎症性疾病的常见特征,常伴有疼痛和残疾。SFN 的诊断采用症状、热阈值测试和表皮内神经纤维定量。角膜共聚焦显微镜 (CCM) 是一种眼科成像技术,可无创性定量角膜神经纤维 (CNF) 密度、分支密度和长度,与皮肤活检相比,具有相当的诊断能力和更高的识别神经再生能力。CNF 大小(宽度和面积)取决于每个神经内的纤维数量以及病理学(例如肿胀),并可能提供额外的敏感性来诊断 SFN 和识别神经修复。我们比较了标准 CCM 变量在糖尿病感觉运动多发性神经病或结节病相关 SFN 患者、以及西比内肽给药后 SFN 患者中的应用,西比内肽是一种促进神经修复的药物。结果表明:1) CNF 宽度分布和面积取决于神经病变的严重程度;2) CNF 面积、密度、分支密度和长度对诊断神经病具有相当的鉴别能力;3) CNF 面积与长度呈二次函数关系,可预测健康受试者和 SFN 患者;4) CNF 面积是定量 CNF 形态变化的有用变量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9f96/5856845/6f047c07c0ab/41598_2018_23107_Fig1_HTML.jpg

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