将角膜神经纤维缺失作为识别糖尿病对帕金森病影响的标志。

Xuebin Niu, Peixiao Yin, Qiuyue Shao, Lu Chen, Guiyun Cui, Chuanying Xu, Kun Zan
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引用次数: 0

摘要

背景:帕金森病(PD)患者面临着严重的生活质量问题。糖尿病已被证明是帕金森病的一个独立风险因素,会加重帕金森病的严重程度并加速其进展。目前还没有合适的生物标志物来揭示糖尿病对帕金森病的影响。我们的研究目的是利用角膜共聚焦显微镜(CCM)这种非侵入性的客观检测方法,研究糖尿病对帕金森病的影响:研究纳入了 14 名糖尿病 PD 患者(PD-DM)、60 名非糖尿病 PD 患者(PD-NDM)和 30 名健康对照组(HC)。研究人员使用统一帕金森病评分量表-3(UPDRS-3)和帕金森病自主神经症状预后量表(SCOPA-AUT)评估了帕金森病患者的临床症状。研究人员还对角膜神经纤维进行了CCM定量分析:结果:PD 患者的角膜神经纤维密度(CNFD)和角膜神经纤维长度(CNFL)均低于 HC 患者。此外,PD-DM 患者的角膜神经纤维密度(CNFD)低于 PD-NDM(PCCM 可作为一种客观、灵敏的生物标志物,用于研究糖尿病对 PD 的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corneal nerve fibre loss as a marker to identify the impact of diabetes on Parkinson's disease.

Background: Patients with Parkinson's disease (PD) suffer from serious quality of life problems. Diabetes has been demonstrated as an independent risk element for PD, aggravating its severity and accelerating its progression. There are currently no suitable biomarkers to reveal the impact of diabetes on PD. The purpose of our research was to study the impact of diabetes on PD using corneal confocal microscopy (CCM), a non-invasive and objective test.

Methods: Fourteen PD patients with diabetes (PD-DM), 60 PD patients without diabetes (PD-NDM), and 30 healthy controls (HC) were included in the study. The clinical symptoms of patients with PD were assessed using the Unified Parkinson's Disease Rating Scale-3 (UPDRS-3) and the Parkinson's Disease Autonomic Symptom Prognosis Scale (SCOPA-AUT). Participants underwent CCM to quantify the corneal nerve fibres.

Results: Corneal nerve fibre density (CNFD) and corneal nerve fibre length (CNFL) in patients with PD were lower than HC. Furthermore, CNFD in PD-DM was lower than in PD-NDM (P < 0.01). We also assessed the relationship between CCM parameters and clinical scores. CNFL and Hamilton anxiety (HAMA) have a negative correlation (r = -0.261, P = 0.032), but this study did not observe a significant correlation between CCM parameters and SCOPA-AUT. Additionally, CNFD could distinguish PD-DM from PD-NDM, achieving an area under the curve of 75.06% (95% CI, 61.76%-88.36%).

Conclusions: The CCM could be served as an objective and sensitive biomarker to investigate the impact of diabetes in PD.

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