Multimodal MRI markers of nigrostriatal pathology in Parkinson's disease (U01)
PI Name: XUEMEI HUANG
Institute: Pennsylvania State University Hershey Medical Center (Hershey, Pennsylvania)
Parkinson's disease (PD) can involve many parts of the nervous system, but a major factor is death of nerve cells in a part of the brain called the substantia nigra (SN). These SN cells are especially important because they connect to another brain region called the striatum that plays a role in integrating signals that control motor and other brain functions. [Read More]
- Congratulations, to the University of Pennsylvania at Hershey for enrolling 147 participants into their PDBP project as of January 10, 2014 and completing, through the PDBP Data Management Resource, electronic documentation for 135 baselines visits and 65 six month visits!
- Presentation from the NINDS PDBP Kick-off Meeting in November 2012: Huang Project Kickoff Presentation (pdf)
Parkinson's disease (PD) can involve many parts of the nervous system, but a major factor is death of nerve cells in a part of the brain called the substantia nigra (SN). These SN cells are especially important because they connect to another brain region called the striatum that plays a role in integrating signals that control motor and other brain functions. Dr. Huang and her team have developed a non-invasive imaging tool that can detect changes in these regions of the brain that occur in PD and related disorders. She and her team will be exploring if this imaging approach can improve our ability to provide a much more exact measure of how PD progresses. They will also compare this imaging method to possible molecular markers that may occur in the blood, the cerebrospinal fluid (CSF), and urine.
Parkinson's disease (PD) is marked pathologically by dopamine neuronal loss in the substantia nigra (SN) of the basal ganglia (BG) and the presence of Lewy bodies. The lack of in vivo biomarker(s) reflecting PD-related cell loss and associated pathoetiological/physiological processes has hindered discovery research and limited the ability to evaluate potentially disease-modifying therapies. The best available technology, radioimaging using 18FDOPA-PET and [123I]b-CIT SPECT, can assess the activity or density of striatal dopamine terminals. These techniques, however, do not reflect directly the pathological process in the SN, may not distinguish PD from other parkinsonian syndromes, and can be affected by symptomatic therapy. In addition, both techniques require exposure to radioactivity and PET requires facilities not widely available. Magnetic resonance imaging (MRI) is noninvasive, easily accessible, and widely available, yet its measures have been difficult to relate to a specific pathophysiological mechanism. Diffusion tensor (DTI) and R2* imaging have been reported to detect changes in the SN in PD, and offer the promise of being MRI biomarkers. There is, however, a lack of understanding of their clinical implications and biological/pathological underpinnings. Our pilot data support the hypothesis that fractional anisotropy (FA) and R2* measures reflect different aspects of nigrostriatal pathology that can be used as biomarkers for diagnosing PD and following its progression. We propose to leverage the longitudinal clinical population and existing infrastructure of the PI's R01 (2009-2014) to test the above hypothesis. In addition, we have considerable expertise in developing disease biomarkers, particularly related to iron (Fe) metabolism. By melding in vivo high-resolution DTI and R2* MRI data with assessment of Fe-related protein profiles in body fluids, we expect to gain marked insight into predicting PD progression. Moreover, our strengths in postmortem brain histopathology and analysis of Fe-related proteins will permit the correlation of the in vivo clinical and brain MRI measures with biochemical changes in the brain. This will provide a mechanistic understanding of the role of Fe in PD that may lead to the discovery of new biomarkers or therapeutic targets. Based on power analysis pilot data, four aims will be performed: 1) Establish the differential roles of DTI and R2* in PD detection and progression; 2) Demonstrate that nigrostriatal DTI and R2* differentiate PD from parkinsonian syndromes; 3) Interrogate Fe-related proteins in body fluids as biomarkers; 4) Obtain MRI biomarker and postmortem pathological correlation data. The success of the study shall yield valid markers for both detection of PD and its progression that can be integrated into and hopefully impact disease-modifying clinical trials within the foreseeable future. The clinical and MRI data and the biosamples collected and deposited to the DMR of the PDBP shall provide investigators in the biomarker community the opportunity to explore and understand changes outside of nigrostriatal pathways and non Fe-related proteins and their relationship with our proposed markers.
Goals of Project:
- Discovery: Establish the differential roles of FA and R2* imaging measures for PD detection and progression. Diffusion tensor imaging (DTI) measures may reflect cellular and microstructure integrity, but R2* is more sensitive to tissue iron (Fe) content. Thus, substantia nigra (SN) FA and R2* measures may reflect different aspects of PD-related pathology, each with clinical implications.
- Discovery: Demonstrate that nigrostriatal DTI and R2* differentiate PD from parkinsonian syndromes Many conditions can disrupt basal ganglia function and mimic PD clinically [e.g. progressive supranuclear palsy (PSP) & multisystem atrophy (MSA)]. Nigrostriatal DTI and R2* features may differentiate these disease entities.
- Discovery: Interrogate Fe-related proteins in body fluids as biomarkers of PD. Higher SN Fe content occurs in PD based on histopathological data and now in vivo MRI data, and shows promise for tracking PD progression. Many proteins involved in Fe homeostasis are intimately linked to inflammation that may contribute to the Fe overload.
- 200 Parkinson's Disease participants (varying stages of disease)
- 20 Progressive Supranuclear Palsy participants
- 20 Multisystem Atrophy participants
- 50 Healthy participants (various ages)
To participate in this study, contact:
Enrollment Progress at Pennsylvania State University (Hershey, PA)
Graphical representation of number of participants currently enrolled (data from January 10 , 2014) at the Pennsylvania State University, Hershey in relation to anticipated total enrollment for the project.
Biospecimen Collection at Pennsylvania State University (Hershey, PA)
Number and types of biospecimens collected by the Pennsylvania State University, Hershey as of January 10, 2014. All biospecimens are stored at the NINDS repository and available for distribution to the broader research community.