中国比较医学杂志2025，Vol.35Issue(4)：31-42,12.DOI:10.3969/j.issn.1671-7856.2025.04.004
金钗石斛提取物对秀丽隐杆线虫帕金森病模型的神经保护作用研究
Neuroprotective effect of Dendrobium nobile Lindl extract on Caenorhabditis elegans model of Parkinson's disease
摘要
Abstract
Objective To investigate the neuroprotective effect of Dendrobium nobile Lindl(DNL)extract in a Caenorhabditis elegans(C.elegans)model of Parkinson's disease(PD).Methods C.elegans NL5901 and 6-hydroxydopamine(6-OHDA)induced N2,BZ555,PD4521,and CB7272 C.elegans strains were treated with DNL 7.5,15,and 30 mg/L.The survival rate,basal slowing response rate,α-synuclein(α-syn)aggregation,dopaminergic neurons(DNs),mitochondrial distribution density of body wall muscle cells,and protein levels in the membrane were observed.In addition,reactive oxygen species(ROS),superoxide dismutase(SOD)and glutathione(GSH)in 6-OHDA induced N2 was detected to explore the effect of DNL on the antioxidative stress ability of PD C.elegans models.Results Compared with that in the model group,the DN fluorescence intensity was significantly increased in nematodes treated with DNL and levodopa(L-DOPA)(P＜0.05,P＜0.0001),α-syn aggregation was significantly decreased(P＜0.05,P＜0.001,P＜0.0001),the basal slowing rate(P＜0.05,P＜0.01,P＜0.001),mitochondrial density(P＜0.05,P＜0.01,P＜0.001),mitochondrial intima protein content(P＜0.05,P＜0.001,P＜0.0001),SOD content(P＜0.05),and GSH content were all increased.The ROS content was reduced in nematodes(P＜0.01).The lifespans of N2 wild-type and PD C.elegans models were prolonged after DNL treatment(P＜0.05,P＜0.01,P＜0.001).Conclusions DNL can effectively improve motor paralysis in a C.elegans PD model,improve DN degradation,inhibit α-syn aggregation and neuronal damage,increase the antioxidative stress ability,and slow the aging process in C.elegans.关键词
金钗石斛/帕金森病/秀丽隐杆线虫/神经保护Key words
Dendrobium nobile Lindl/Parkinson's disease/Caenorhabditis elegans/neuroprotection引用本文复制引用
范欣悦,何汶璐,董丽,侯志颍,郑涵文,Alberto Carlos Pires Dias,王琼..金钗石斛提取物对秀丽隐杆线虫帕金森病模型的神经保护作用研究[J].中国比较医学杂志,2025,35(4):31-42,12.基金项目
国家重点研发计划(2024YFD1600603). （2024YFD1600603）
