Parkinson’s: a syndrome rather than a disease?
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Emerging concepts suggest that a multitude of pathology ranging from misfolding of alpha-synuclein to neuroinflammation, mitochondrial dysfunction, and neurotransmitter driven alteration of brain neuronal networks lead to a syndrome that is commonly known as Parkinson’s disease. The complex underlying pathology which may involve degeneration of non-dopaminergic pathways leads to the expression of a range of non-motor symptoms from the prodromal stage of Parkinson’s to the palliative stage. Non-motor clinical subtypes, cognitive and non-cognitive, have now been proposed paving the way for possible subtype specific and non-motor treatments, a key unmet need currently. Natural history of these subtypes remains unclear and need to be defined. In addition to in vivo biomarkers which suggest variable involvement of the cholinergic and noradrenergic patterns of the Parkinson syndrome, abnormal alpha-synuclein accumulation have now been demonstrated in the gut, pancreas, heart, salivary glands, and skin suggesting that Parkinson’s is a multi-organ disorder. The Parkinson’s phenotype is thus not just a dopaminergic motor syndrome, but a dysfunctional multi-neurotransmitter pathway driven central and peripheral nervous system disorder that possibly ought to be considered a syndrome and not a disease.
KeywordsParkinson’s disease Parkinson’s syndrome Non-motor symptoms Non-motor subtypes Individualized medicine Neurotransmitter
In 1817, James Parkinson, the English physician, described a syndrome and he named Paralysis Agitans (An Essay on the Shaking Palsy), which was subsequently termed Parkinson’s disease (PD) by Jean-Marie Charcot in view of his initial description. (Parkinson 1817) Despite including significant details regarding many of its key non-motor symptoms including sleepiness, fatigue and dysautonomia over the years, PD has almost become synonymous with a dopamine deficiency motor syndrome. Clearly, this position has been reinforced by the dramatic effect of levodopa in relieving the motor features of PD, which whilst revolutionizing the outlook for patients has fallen well short in addressing the non-motor syndrome (NMS) (Langston 2006). This deficiency in clinical practice is not surprising when one considers that it was not until the early 2000’s that the first validated tools to comprehensively evaluate the complex medley of NMS in PD were developed (Chaudhuri et al. 2006). These objective measures laid bare the extent of the NMS and its major impacts on quality of life in PD (Martinez-Martin et al. 2011), as well as highlighting the need for specific focused non-motor therapies (Schrag et al. 2015b).
List of proposed mechanisms and pathophysiological basis for the expression of clinical signs of Parkinson’s disease
Genetics and epigenetics
LRRK2, GBA mutations, and higher rates of PD in certain ethnic groups, such as Ashkenazi Jews, Inuit populations
Dietary or occupational exposure to organic toxins (insecticides for example)
Gene interaction with environment (higher risk in agricultural communities, lower risk in smokers, head trauma)
Misfolding, oligomeric form, and altered proteostasis and neurotoxicity
Susceptibility of ageing brain
Synaptic dysfunction and loss of synaptic level functioning
Prion-like intra axonal transport (gut to brain)
Amyloid and Tau deposition particularly in older PD and dementia
Mitochondrial dysfunction (reduced complex 1 activity)
Oxidative stress causing cell damage and death
Neuroinflammation which may trigger misfolding of alpha-synuclein
Altered gut microbiota and reduced mucin increasing gut permeability and possible inflammatory spread to brain
Neurotransmitter linked abnormalities (selective or in combination as detailed in the paper)
Alteration in cerebral functional network and signaling function
Adenosine receptor abnormalities
Pathological and neurotransmitter basis of the Parkinson’s syndrome: it is not all dopamine
Selective vulnerability of non-dopaminergic neurons
The Braak hypothesis of alpha-synuclein accumulation starting in the lower medulla and the anterior olfactory bundle with a subsequent spread via pons to the midbrain would potentially affect a range of non-dopaminergic nuclei along the route, including the locus coeruleus and the raphe area, even before there was any significant involvement of substantia nigra (Braak et al. 2003). A number of authors have reported that non-dopaminergic nuclei may degenerate at a faster rate and sometimes to a greater degree than dopaminergic neurons in the early and prodromal stages of PD. Indeed, a number of studies have reported that there may be a greater loss of cholinergic pedunculopontine nucleus neurons and substance P—containing neurons in dorsal motor nucleus of the vagus (over 70%) with relative sparing (<5%) of tyrosine hydroxylase-immunoreactive neurons in the dopaminergic system (Hirsch et al. 1987; Jellinger 1987; Halliday et al. 1990). In addition, Jellinger (2012) has also shown that neuronal loss in the dorsal motor nucleus of vagus (DMV) could be as profound as that in the substantia nigra (SN). It is well accepted that the DMV is a one of main centers for autonomic signaling and may be responsible for autonomic symptoms, such as constipation, which is commonly seen in prodromal stage of PD. Differences in the onset age of PD (i.e., late versus early) may also imply a brainstem pathology dominant clinical picture in the early onset disease, while in late onset disease, brainstem pathology is associated with cortical Lewy body deposition. The reasons underlying this age-related discrepancy are not resolved but may relate to issues of depleted neural reserve and immune-competence (Halliday et al. 2011).
Peripheral involvement in PD
The clinical translation: subtypes
The diagnostic concept of Parkinson’s disease is changing and an ongoing revision of its diagnostic criteria by the International Movement Disorders Society has included a range of non-motor symptoms (NMS) as part of the core parameters (Postuma et al. 2015). This would suggest that there is a greater awareness of the clinical heterogeneity of PD, which is no longer viewed as a disease with motor features alone. The recognition mixed motor and non-motor phenotypes have been well documented in the literature and many initial studies attempted to understand these variances through a “matched groups” approach with classifications based on predetermined patient attributes, such as age of disease-onset, cognitive performance, motor phenotype, and disease severity. However, all of these approaches suffer from the limitations arising from the prospective assumptions about the classification, namely the arbitrary division of patients based on the criteria adopted. To avoid this, more recent work has sought to utilize data-driven methodologies, such as cluster analysis.
One recent systematic review of the cluster analyses performed in PD has revealed that subgroups do appear to exist and that there is a common division occurring between a milder younger onset and a more aggressive older onset phenotype (van Rooden et al. 2010). Results obtained from individual studies have highlighted the existence of four distinct PD subgroups, namely (1) younger disease-onset, (2) tremor dominant, (3) non-tremor dominant, and (4) rapid disease progression (Lewis et al. 2005; Reijnders et al. 2009; Selikhova et al. 2009). These initial studies highlighted that whilst tremor dominant patients have relative NMS sparing, the non-tremor dominant subgroup is more associated with cognitive impairment and mood disturbance. Indeed, more recent work has identified a differential expression of mild cognitive impairment across these subgroups, with the highest frequency observed in the non-tremor dominant cluster, which was also associated with a higher prevalence of freezing of gait, hallucinations, daytime somnolence, and RBD compared with other subgroups (Szeto et al. 2015).
To avoid the impact of dopaminergic therapy, some authors have performed cluster analysis in untreated PD patients, although there are still problems with this approach. Using this strategy, motor and several non-motor symptom dominant clusters have been identified in two large studies (Erro et al. 2013; Pont-Sunyer et al. 2015), whilst other observers have attempted to clinically define the non-motor clusters to specific non-motor subtypes of PD (Sauerbier et al. 2016; Marras and Chaudhuri 2016). Heterogeneity is again evident in these analyses, and for instance, Erro et al. (2015) reported that their non-motor dominant cluster had urinary dysfunction, which predicted a rapid progression rate of the motor syndrome of PD. In the ONSET-PD study, specific non-motor PD clusters, which ranged from cognitive and mood clusters to sensory, RBD dominant, and autonomic dysfunction-related clusters were reported which tallied well with the NMS dominant subtypes described by Sauerbier et al. (2016). Indeed, biomarker driven studies have now shown evidence that these subtypes can be further defined by specific neurochemical dysfunction, at least in part, suggesting that in future, progression pattern of these specific NMS subtypes could be examined.
Possible clinical consequences
Identification of specific NMS subtypes may, in future, help fashion more personalized therapies and individualized medicine (Schrag et al. 2015b). For example, some might argue that a PD variant identified to have cognitive dysfunction at onset is likely to have a more cholinergic syndrome that would merit combined therapy with dopaminergic and cholinesterase inhibitors. Moore and Barker (2014) argue for robust multimodal biomarkers that may predict the development of PD dementia and help develop specific and individualized therapies. A stronger clinical “sleep” phenotype (Sauerbier et al. 2016) would possibly be underpinned by serotonergic raphe dysfunction and may, therefore, have a narcoleptic phenotype (Pavese et al. 2012; Ylikoski et al. 2015). In these patients, there might even be an abnormal sensitivity to dopamine D3 receptor agonists, which might, therefore, be preferably avoided (Sauerbier et al. 2016).
It is crucial that the clinical heterogeneity of PD is better recognized as it is likely that multimodal biomarker methods will show specific patterns of underlying cerebral and extra-cerebral neurotransmitter dysfunction. Such findings would correlate well with specific clinical subtypes of PD, particularly in the newly emerging concept of non-motor subtypes. Clinically, the heterogeneity of PD is also reflected by broad overlap of PD with parkinsonian syndromes, such as dementia with Lewy bodies or parkinsonian variants of multiple system atrophy, which is reflected in the recent revision of the diagnostic criteria for PD (POstuma et al. 2015). We acknowledge that, at this time, there is no robust or convincing evidence base to suggest that PD is definitively a multisystem disorder. However, evidence provided in this review with consequent abnormalities of functional networks within the brain is likely to drive the heterogeneity of PD, with important implications for clinical translational and prognostic research for the future.
We thank Mr. Mubasher A. Qamar for administrative edits and the Movement Disorders Society Non-motor Study Group. Professor Lewis is supported by NHMRC-ARC Dementia Fellowship (#1110414) and this work was supported by funding to Forefront, a collaborative research group dedicated to the study of non-Alzheimer disease degenerative dementias, from the National Health and Medical Research Council of Australia program grant (#1037746 and #1095127).
- Adler CH, Dugger BN, Hentz JG, Hinni ML, Lott DG, Driver-Dunckley E, Mehta S, Serrano G, Sue LI, Duffy A, Intorcia A, Filon J, Pullen J, Walker DG, Beach TG (2016) Peripheral synucleinopathy in early parkinson’s disease: submandibular gland needle biopsy findings. Mov Disord 31(2):250–256. doi: 10.1002/mds.26476 CrossRefPubMedPubMedCentralGoogle Scholar
- Chaudhuri KR, Fung VSC (2016) Fast facts: Parkinson’s disease, 4th edn. Health Press Limited, OxfordGoogle Scholar
- Erro R, Vitale C, Amboni M, Picillo M, Moccia M, Longo K, Santangelo G, De Rosa A, Allocca R, Giordano F, Orefice G, De Michele G, Santoro L, Pellecchia MT, Barone P (2013) The heterogeneity of early Parkinson’s disease: a cluster analysis on newly diagnosed untreated patients. PLoS One 8(8):e70244. doi: 10.1371/journal.pone.0070244 CrossRefPubMedPubMedCentralGoogle Scholar
- Erro R, Picillo M, Amboni M, Moccia M, Vitale C, Longo K, Pellecchia MT, Santangelo G, Martinez-Martin P, Chaudhuri KR, Barone P (2015) Nonmotor predictors for levodopa requirement in de novo patients with Parkinson’s disease. Mov Disord 30(3):373–378. doi: 10.1002/mds.26076 CrossRefPubMedGoogle Scholar
- Gjerløff T, Fedorova T, Knudsen K, Munk OL, Nahimi A, Jacobsen S, Danielsen EH, Terkelsen AJ, Hansen J, Pavese N, Brooks DJ, Borghammer P (2015) Imaging acetylcholinesterase density in peripheral organs in Parkinson’s disease with 11C-donepezil PET. Brain 138(Pt 3):653–663. doi: 10.1093/brain/awu369 CrossRefPubMedGoogle Scholar
- Parkinson J (1817) An essay on the shaking palsy. Sherwood, Neely and Jones, LondonGoogle Scholar
- Pavese N, Simpson BS, Metta V, Ramlackhansingh A, Chaudhuri KR, Brooks DJ (2012) [18F]FDOPA uptake in the raphe nuclei complex reflects serotonin transporter availability. A combined [18F]FDOPA and [11C]DASB PET study in Parkinson’s disease. Neuroimage 59(2):1080–1084. doi: 10.1016/j.neuroimage.2011.09.034 CrossRefPubMedGoogle Scholar
- Pont-Sunyer C, Hotter A, Gaig C, Seppi K, Compta Y, Katzenschlager R, Mas N, Hofeneder D, Brücke T, Bayés A, Wenzel K, Infante J, Zach H, Pirker W, Posada IJ, Álvarez R, Ispierto L, De Fàbregues O, Callén A, Palasí A, Aguilar M, Martí MJ, Valldeoriola F, Salamero M, Poewe W, Tolosa E (2015) The onset of nonmotor symptoms in Parkinson’s disease (the ONSET PD study). Mov Disord 30(2):229–237. doi: 10.1002/mds.26077 CrossRefPubMedGoogle Scholar
- Postuma RB, Berg D, Stern M, Poewe W, Olanow CW, Oertel W, Obeso J, Marek K, Litvan I, Lang AE, Halliday G, Goetz CG, Gasser T, Dubois B, Chan P, Bloem BR, Adler CH, Deuschl G (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord 30(12):1591–1601. doi: 10.1002/mds.26424 CrossRefPubMedGoogle Scholar
- Shimada H, Hirano S, Shinotoh H, Aotsuka A, Sato K, Tanaka N, Ota T, Asahina M, Fukushi K, Kuwabara S, Hattori T, Suhara T, Irie T (2009) Mapping of brain acetylcholinesterase alterations in Lewy body disease by PET. Neurology 73(4):273–278. doi: 10.1212/WNL.0b013e3181ab2b58 CrossRefPubMedGoogle Scholar
- Weintraub D, Simuni T, Caspell-Garcia C, Coffey C, Lasch S, Siderowf A, Aarsland D, Barone P, Burn D, Chahine LM, Eberling J, Espay AJ, Foster ED, Leverenz JB, Litvan I, Richard I, Troyer MD, Hawkins KA, Initiative Parkinson’s Progression Markers (2015) Cognitive performance and neuropsychiatric symptoms in early, untreated Parkinson’s disease. Mov Disord 30(7):919–927. doi: 10.1002/mds.26170 CrossRefPubMedPubMedCentralGoogle Scholar
- Williams-Gray CH, Evans JR, Goris A, Foltynie T, Ban M, Robbins TW, Brayne C, Kolachana BS, Weinberger DR, Sawcer SJ, Barker RA (2009) The distinct cognitive syndromes of Parkinson’s disease: 5 year follow-up of the CamPaIGN cohort. Brain 132(Pt 11):2958–2969. doi: 10.1093/brain/awp245 CrossRefPubMedGoogle Scholar
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