4.8 Article

An iron-dopamine index predicts risk of parkinsonian neurodegeneration in the substantia nigra pars compacta

期刊

CHEMICAL SCIENCE
卷 5, 期 6, 页码 2160-2169

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/c3sc53461h

关键词

-

资金

  1. Australian Research Council
  2. Australian National Health & Medical Research Council
  3. Cooperative Research Centre for Mental Health
  4. Alzheimer's Association
  5. Agilent Technologies
  6. Kenelec Scientific [LP100200254]

向作者/读者索取更多资源

The co-localization of iron and dopamine raises the risk of a potentially toxic reaction. Disturbance of the balance in this unique chemical environment makes neurons in the substantia nigra pars compacta (SNc) particularly vulnerable to parkinsonian neurodegeneration in the aging brain. In Parkinson's disease, these neurons degenerate coincident with an elevation in brain iron levels, yet relatively little is known about specific regional iron distribution with respect to dopamine. To directly appraise the iron-dopamine redox couple, we applied immuno-assisted laser ablation-inductively coupled plasma-mass spectrometry imaging to co-localize iron with the dopamine-producing enzyme tyrosine hydroxylase at the coronal level of the substantia nigra. We found that in the healthy brain the SNc does not contain the greatest concentration of iron within the midbrain, while the dopamine-rich environment in this region reflects an increased oxidative load. The product of iron and dopamine was significantly greater in the SNc than the adjacent ventral tegmental area, which is less susceptible to neuron loss in Parkinson's disease. Accordingly, this 'risk factor' was elevated further following 6-hydroxydopamine (6-OHDA) lesioning. Considering mounting evidence that brain iron increases with age, this measurable iron-dopamine index provides direct experimental evidence of a relationship between these two redox-active chemicals in degenerating dopaminergic neurons.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据