Advancing Clinical And Imaging Biomarkers In Parkinson’s Disease Research
Parkinsonism is a movement disorder, although not always due to Parkinson disease. There are many neurological disorders that present with similar movement abnormalities. Although the differential diagnosis is mostly clinical between these different disorders, imaging biomarkers play a role and also have the potential to track disease progression.
Parkinsonism is a clinical syndrome that can be recognized by observation. It was first described in 1817 by James Parkinson in his seminal essay following observations of his patients.
Almost 70 years later, in 1880, J.M. Charcot first referred to ‘Parkinson’s disease’. Almost a hundred years later, in 1960, Ehringer & Hornykiewicz found depleted dopamine in the striatum of patients who had died with Parkinson disease. This opened the path to Cotzias in 1967, to reverse this clinical syndrome with a precursor of dopamine called L-dopa.
In the late 1990s, it was discovered that the accumulation of a misfolded protein called alpha-synuclein in the nervous system is the cause of Parkinson's disease and other Parkinsonisms. This revealed Parkinson’s as a progressive neurodegenerative disease.
With this then came the recognition that there are a number of prodromal premotor stages where patients present with much restricted phenotypes, some of which were discovered very recently, to name a few:
- Impaired sense of smell
- Acting out dreams (called REM sleep behaviour disorder)
- Abnormalities of the autonomic nervous system
It is important to note that not all patients with Parkinsonism have Parkinson's disease.
Parkinsonism can be due to:
- Neurodegenerative disorders
- Vascular disorders (cerebral small vessel disease and ischemia affecting the basal ganglia)
- Drug-induced causes (dopamine blockers that block the receptors where dopamine transmission should occur)
The latter are easily ruled out by medical history and exam, and we are left with neurodegenerative Parkinsonism which are called ‘proteinopathies’ – meaning they are caused by the abnormal accumulation of two types of proteins within neurons or glia:
- Synuclein – responsible for Parkinson's disease, Lewy body dementia, or multiple system atrophy
- Tau – causing Progressive Supranuclear Palsy, corticobasal degeneration or FTD-parkinsonism complex
Parkinson’s disease (PD) is the most common cause of Parkinsonism and is the second most common neurodegenerative disorder after Alzheimer’s Disease. It affects over 1 million people in the US and 60,000 Americans are diagnosed with PD each year. Currently, more than 10 million people worldwide are living with PD. The incidence of Parkinson’s increases with age, but an estimated 4% of people with PD are diagnosed before age 50. Men are 1.5 times more likely to have PD than women.
Multiple System Atrophy
Multiple System Atrophy is much less common. It was first described in 1960 by Shai and Drager, in observations of patients with Parkinsonism that, in addition, had severe autonomic impairment such as orthostatic hypotension, urinary retention, erectile dysfunction, and decreased sweating. It took a few years to discover that synuclein was also responsible for this disorder, mostly in glial cells.
Progressive Supranuclear Palsy
Progressive Supranuclear Palsy is another differential diagnosis of Parkinsonism and was described a few years later in 1964 by Steele, Richardson and Olsekewski. They reported nine patients, all with parkinsonism, but in addition, they had problems with voluntary eye movements, an extended neck posture, they would fall backwards and had cognitive problems.
Improving diagnostic accuracy
More than half of patients with Parkinsonism do not have Parkinson's disease. Approximately 25% of patients with Parkinsonism are misdiagnosed when seen by a general neurologist, and approximately 15% are misdiagnosed by movement disorder specialists. It is clear we need better diagnostic tools that help us reach 100% accuracy while the patients are still alive.
There are current liquid biomarkers in development – those you can measure in CSF or blood – which are looking very promising, though all are still in the research setting. These are:
- aSyn oligomerization assays (RT-QuIC and PCMA) – very promising to distinguish MSA from other parkinsonisms
- NfL in CSF or plasma – very promising to track disease progression
- aSyn exosomes – diagnostic purposes, though the technique still not ready
- aSyn detection in skin biopsy – diagnosis, results are conflicting
Imaging biomarkers including SPECT, PET and MRI are widely used in Parkinsonism diagnostics with emerging studies also showing the usefulness of advanced MRI to assess disease progression.
The future of biomarkers in Parkinsonism for clinical trials of disease-modifying drugs will require the integration of clinical together with imaging and wet biomarkers so that we can identify patients at the earliest possible stages when motor abnormalities are almost imperceptible.
This is not only key for disease prevention and disease-modifying drug development, but these biomarkers would also provide signals of early efficacy for go/no go decisions for drug candidates.
Using imaging to enhance Parkinson’s disease clinical trials
We can use imaging to enhance clinical trials in a number of ways, as well as to gain a better understanding of the pathology of Parkinson's disease. Imaging can be used in PD clinical trials for:
- Patient selection – to differentiate between healthy controls and those with Parkinson's disease
- Patient stratification – to distinguish between those with MSA, PSP, and PD, as well as potential subtypes within Parkinson's disease (i.e. brain-first or body-first Parkinson's; Borghammer and colleagues, 2020) and those at the pre-clinical stage and the prodromal stage (not yet diagnosed with PD but presenting with the pathology associated with PD – such as REM sleep behavior disorder)
- Tracking disease progression – with the right biomarker, imaging can be key in clinical trials focusing on disease-modifying therapies to be able to assess progression
- Drug efficacy and safety – particularly in early phase trials, where imaging can identify any safety findings and/or help with dosing for drug candidates
Imaging techniques in Parkinson's disease trials
Unlike other neurodegenerative disorders, such as Alzheimer's disease, or even atypical parkinsonian syndromes such as PSP and MSA, MRI is not particularly useful at the early diagnostic stage of Parkinson’s. MRI is more useful from a safety perspective or when used alongside SPECT to exclude any strategic lesions.
Instead, functional imaging such as SPECT and PET imaging are particularly useful diagnostically, to assess the integrity of the nigrostriatal pathway by looking at the dopamine transporter (DAT). Aside from assessing the DAT, PD is a multifactorial disorder and various other neurotransmitters such as serotonin and noradrenaline but also glucose metabolism can be visualized using PET imaging.
Advanced MRI methods are now emerging as an interest in the use of imaging biomarkers to assess disease progression develops. These techniques have long been explored in an academic research setting, and we’re now seeing clinical trials starting to explore the use of these markers to look at disease progression as well as using multimodal imaging i.e. a combination of imaging biomarkers.
This technique is approved by the FDA and the EMA, particularly to help with a clinical diagnosis. Another approved use of DAT SPECT is as an enrichment biomarker in clinical trials, for the exclusion of subjects known as SWEDDS (scans without evidence of dopaminergic deficit) – these are patients that present with Parkinson's disease, but do not have any evidence of a dopaminergic deficit.
This could be because their pathology is slightly different, or their disease is slower progressing. In clinical trials, it is important that we are able to disentangle these subtypes as, depending on the trial, it may be desirable to only recruit those subjects which present with more typical pathology.
DAT scans are not useful in distinguishing between Parkinsonian syndromes, but are particularly useful at the diagnostic stage and when assessing progression in the early stages of the disease.
SPECT vs PET
There are a range of SPECT and PET tracers available that allow us to assess the integrity of the presynaptic nigrostriatal pathway, though they are looking at slightly different processes. For example, at the early stage of diagnosis, a PET scan using the F-DOPA tracer (associated with dopamine synthesis) will demonstrate upregulation, whereas when using a DAT tracer (assessing the dopamine transporter) , there will be slightly more downregulation due to compensatory mechanisms.
There are pros and cons of using both SPECT and PET. SPECT is more readily available, less expensive, and we have less of an issue with half-life. However, PET can provide higher resolution and better quantitative capacity. For example, the 18F FE-PE2I DAT PET tracer delivers:
- Improved resolution
- Patient convenience as a thyroid blocking agent not required
- Shorter injection-to-scan and acquisition times
Advanced MRI techniques
We can use neuromelanin imaging to look at the integrity of the substantia nigra, which supplies the basal ganglia with dopamine:
- The dopaminergic neurons of the substantia nigra (and the noradrenaline neurons of the locus coeruleus) are rich in the dark neuromelanin pigment
- Studies have found high accuracy with reduced neuromelanin signals/volume in the SNpc in PD patients vs healthy controls
- Longitudinal change (~2yr) of neuromelanin signal can be detected in PD (Gaurav et al 2021; Matsuura et al 2016)
While this is a promising technique, to date all studies have been small or use different sequences, therefore there is a real need for more multi-site, larger studies.
Excessive iron is thought to contribute to neuronal death. Patients with Parkinson's disease have an increase in iron, and there is a relationship between iron and neuromelanin in that the accumulation of iron, when it's not stored in neuromelanin, may contribute to the neurodegeneration in PD.
- Research is mixed and there more of an emphasis on the use of iron from a diagnostic perspective rather than measuring progression: iron content using the R2* sequence found to correlate with the severity of motor symptoms i.e. UPDRS motor scores
- Increased iron content in the substantia nigra is sensitive to patients even in the early stages of the disease and those with idiopathic REM sleep behaviour disorder
- Susceptibility weighted imaging (SWI) allows for a visual assessment. R2* and QSM allow for quantification
Free water imaging
Free water imaging is thought to be particularly sensitive to assess tissue structure and demonstrate neurodegeneration. Again, focusing on the substantia nigra in particular:
- Proposed cellular alterations due to iron accumulation could change substantia nigra cellularity and in turn, increase the fluid content in the local area for Parkinson’s patients vs healthy controls (Kwon et al 2012)
- Diffusion MRI is sensitive to the substantia nigra changes even in the de novo Parkinson’s disease stage
- Increased free water content in the posterior substantia nigra has been identified in patients with PD progression vs healthy controls predicting changes in bradykinesia and cognitive status (Ofori et al 2015).
Therefore, free water imaging seems very promising in terms of looking at progression, but also perhaps even being able to predict changes. Like iron imaging, it's thought to be useful even in the early stages of PD.
As well as looking at SPECT and advanced MRI techniques on their own, it is important to look at a combination of these modalities and focus not only on dopamine but also non dopaminergic measures. An increasing number of research studies are looking at a combination of these techniques, providing us with a better understanding of the processes that are happening in parallel to each other, but which we are only able to see through the use of different imaging techniques.
Overcoming imaging challenges in Parkinson’s research
Longitudinal imaging is needed to help us understand which markers are particularly useful to assess progression.
Longitudinal cohorts such as the PPMI cohort are able to provide us with informative literature on disease progression. Longitudinal clinical and imaging data have been recorded from this cohort, over the course of four years, including the use of advanced MRI and volumetric MRI. For example, using free water imaging, Burciu et al., 2017 reported an increase of free water in those with PD compared with healthy controls who had no change over time. Zeighami et al., 2019 have reported the use of volumetric MRI as a potential prognostic marker, which is less likely to be affected by symptomatic treatment and by the potential “floor effect”, which may occur in longitudinal DAT SPECT (Simuni et al., 2018).
As mentioned earlier, alpha-synuclein is key in the pathology of Parkinson’s and recently, AC Immune received funding from the Michael J. Fox Foundation to support investigations into their proprietary alpha-synuclein-PET tracers ACI-12589 which have the potential to be a very useful markers in Parkinson’s disease but also other affected neurodegenerative diseases.
- Imaging the integrity of the dopaminergic terminal remains key in the early stages of clinical trials and for patients in the early stages of Parkinson’s disease
- Advanced MRI techniques have provided further insights into assessing disease progression (and for diagnostic purposes) – however, in order to advance clinical research into Parkinsonism we need larger, longitudinal multi-site studies and consistent imaging protocols throughout
- Multimodal non-imaging and imaging biomarkers are key to improving our understanding of PD and have the potential to play a key role in clinical trials to measure progression, drug efficacy and help identify the pathology of subtypes and those in the prodromal stage of PD
About the author: Hiba Kazmi, PhD
Hiba Kazmi joined IXICO 2 years ago. She graduated from King’s College London with a Master’s degree in Clinical Neuroscience and holds a PhD from University College London (UCL) Queen Square Institute of Neurology. Her PhD investigated the presence of clinical and imaging features associated with prodromal Parkinson’s Disease in patients with late onset depression. She also has experience in clinical settings, including working with patients with psychiatric disorders such as depression and schizophrenia.
Hiba is a Biomarker Scientist at IXICO and works across a range of therapeutic areas including Parkinson’s disease, Progressive Supranuclear Palsy and Alzheimer’s disease.