Quantifying iron deposition within the substantia nigra of Parkinson's disease by quantitative susceptibility mapping
Introduction
The selective and progressive loss of dopaminergic neurons in the substantia nigra (SN) is postulated to be the principal pathogenesis of PD which is paralleled by increased iron deposition and secondary degenerative changes in the basal ganglia [1], [2], [3]. Iron in the human brain is essential for numerous biological processes such as neuronal development, enzyme function, DNA synthesis, oxidative phosphorylation, neurotransmitter synthesis, as well as mitochondrial respiration [3], [4]. By contrast, excessive iron content often assumed to have a causal role of disease by enhancing free radical formation and contributing to oxidative stress and neuronal death in iron-overloaded cells [4], [5], [6], which lead to a variety of neurodegenerative diseases including Parkinson's Disease, Alzheimer's disease, and Huntington's disease [4], [6]. Although increased iron content in the brain has been detected in various neurodegenerative diseases, the contribution of iron overload to the pathogenesis of PD remains unclear. Still, genetic analyses, neuropathologic investigations, and new imaging techniques of PD are providing important new insights into the pathogenesis of PD [1], [11], [12]. Magnetic resonance imaging (MRI) is a non-invasively powerful means to assess brain iron content with unprecedented high spatial resolution within reasonable scan times [13], which have been applied to in vivo iron mapping and quantification [1], [10], [11], [13]. However, clinical use of phase images is limited due to the non-local relation between phase and the underlying magnetic susceptibility distribution. Quantitative susceptibility mapping (QSM) is a novel post-processing technique, which provides a quantitative assessment of the magnetic susceptibility of the tissue under investigation has recently received increased scientific and clinical attention [8], [14]. This method has been proposed to be more sensitive with respect to magnetic tissue properties than conventional magnitude-based techniques and enabled the identification of several substructures of the human brain that were in part indiscernible on the other GRE-based contrasts. There are already several studies observed relationships among increased brain iron accumulation, disease duration and motor severity [2], [7], [8]. However, it remains unclear as to the effect of iron accumulation on different motor symptoms, as previous studies investigating tremor and akinetic/rigid predominance yield conflicting results [9], [10]. However, owing to technological obstacles, our understanding of brain iron metabolism continues to lag behind our knowledge about systemic iron metabolism. It is not known whether iron accumulation contributes to disease progression or whether accumulation of iron occurs only after widespread neuronal death.
In this explorative study we utilized QSM to investigate the cerebral iron content focus on substantia nigra of PD patients aiming to illuminate whether magnetic susceptibility is correlated differently with clinical characteristics in PD at mild severity-stage versus those at advanced severity-stage. Additionally, we explore the underlying differences in the level of iron among different motor subtypes of PD include (tremor dominant PD, akinetic/rigid dominant PD and mixed motor symptoms PD). Furthermore, we compare the magnetic susceptibility with their clinical characteristics such as gender, Hoehn-Yahr, UPDRS, HAMA, and MADRS scales among different subgroups, respectively.
Section snippets
Subjects
This study received approval from the local ethics committee and all subjects gave written informed consent before participation. In this study, 54 PD patients (26 males, 28 females; mean age = 67.7 ± 9.486 years) with a diagnosis made by neurologists specializing in movement disorders according to the criteria of the United Kingdom Parkinson's Disease Society Brain Bank for idiopathic Parkinson's disease [15], and 32 age- and gender-matched healthy controls (13 males,19 females; mean age = 66.6 ± 9.065
Demographic data
Demographic and clinical data are summarized in Table 1. In the present study, there were no significant statistical differences between PD and healthy controls regarding gender and age. Although the male/female ratio was higher in the PD group (P = 0.491), no significant gender differences in iron accumulation were found. As expected, patients with PD showed significantly increase of iron deposition in substantia nigra (SN) (138.039 ± 37.320 vs 179.553 ± 65.715; mean ± SD, P = 0.001; Table 2; Fig. 2(A)).
Discussion
In the present study, the relation between Parkinson's disease and magnetic susceptibility values in the substantia nigra of PD patients was assessed by QSM. The key findings were the progressiveness accumulation of iron in the SN which is in line with the disease progression as well as the inherent correlation between SN QSM values and clinical manifestations of patients with PD, which provide a non-invasive biomarker to assess trajectories of disease, as well as potentially contributes to the
Limitations
In the current study, some limitations should be noted. First, the sample size of the patients was relatively small, and the results should be interpreted cautiously. Therefore, repeated studies with larger samples should be carried out in the future to capture the dynamic changes of QSM during PD progression. Second, despite the technical advantage of QSM in quantifying iron in vivo, the QSM signal also may be affected by a number of other factors such as calcium, lipid, or myelin content.
Conclusion
Quantitative susceptibility mapping (QSM) is now regarded as the most sensitive technique for measuring iron content in the substantia nigra to explore the underlying pathologic mechanism of PD. In this study, the progressiveness pattern of iron deposition in the substantia nigra of PD patients which is in line with PD's course was discovered. In addition, the amount of iron content in the SN appears to have a certain impact on the clinical manifestation of Parkinson's disease, with the
Funding
This work was supported by the Shanghai Municipal Commission of Health and Family Planning (grant numbers 201540392).
Conflicts of interest
The authors have no conflicts of interest to declare.
Acknowledgement
We are very grateful to all the participants who made this research possible. We acknowledge the MRI technical support of Professor Jianqi Li and his team.
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Xiaoyan Zeng and Hedi An contributed equally to this work (shared first authorship).