Abstract
Dementia continues to be the most burdening neurocognitive disorder, having a negative impact on the lives of millions. The search for biomarkers to improve the clinical diagnosis of dementia is ongoing, with the focus on effective use of readily accessible peripheral markers. In this review, we concentrate on platelets as biomarkers of dementia and analyze their potential as easily-accessible clinical biomarkers for various subtypes of dementia. Current platelet protein biomarkers that have been investigated for their clinical utility in the diagnosis of dementia, in particular Alzheimer’s disease, include amyloid-β protein precursor (AβPP), the AβPP secretases (BACE1 and ADAM10), α-synuclein, tau protein, serotonin, cholesterol, phospholipases, clusterin, IgG, surface receptors, MAO-B, and coated platelets. Few of them, i.e., platelet tau, AβPP (particularly with regards to coated platelets) and secreted ADAM10 and BACE1 show the most promise to be taken forward into clinical setting to diagnose dementia. Aside from protein biomarkers, changes in factors such as mean platelet volume have the potential to play a very specific role in both the dementia diagnosis and prognosis. This review raises a number of research questions for consideration before application of the above biomarkers to routine clinical setting. It is without doubt that there is a need for more clarification on the effects of dementia on platelet morphology and protein content before these changes can be clinically applied as dementia biomarkers and explored further in differentiating distinct dementia subtypes.
INTRODUCTION
Approximately 50 million people suffer from dementia worldwide, and almost 10 million new cases are reported every year [1]. Projection studies predict that by 2030, 82 million people will suffer from dementia, with the figure trebling to 152 million by 2050 [1]. Dementia incorporates a spectrum of major neurocognitive disorders hence disease progression is individual and there are few precise diagnostic methods and even fewer predictive cues for the syndrome. The most common form of dementia is Alzheimer’s disease (AD; accounting for 70% of dementia cases [1]) with other dementia subtypes occurring progressively with lesser incidence such as vascular dementia (VaD), Lewy body spectrum disorders (including dementia with Lewy bodies and Parkinson’s disease dementia), frontotemporal dementia (FTLD), and Creutzfeldt-Jakob disease.
Diagnosis of dementia has several degrees of clinical certainties, the most accurate being definite diagnosis of dementia, established postmortem by a number of distinct neuropathological hallmarks characteristic for specific dementia syndromes. The physiological changes associated with dementia are not necessarily confined to the brain alone, but are also evident in peripheral tissues and body fluids, i.e., cerebrospinal fluid (CSF), blood, skin (i.e., amyloid [2], tau and α-synuclein [3]) and even some internal organs such as the liver, kidney, testes (tau protein [4]), and gastrointestinal tract (i.e., amyloid and tau protein [5]).
Body fluids and blood cellular components for diagnostic use
In AD, the clinical diagnosis is supported by amyloid-β (Aβ42), total tau and phosphorylated-tau181 measures in the CSF [6]. CSF extraction (obtained via lumbar puncture) is invasive, and it is not widely used for diagnostic purposes. Furthermore, some of the identified CSF biomarkers (i.e., cytokines, adhesion molecules and growth factors) may be of limited diagnostic use as some CSF biomarkers are involved in secondary inflammatory processes [7] rather than being causative agents of dementia. Since clinically-beneficial biomarkers should be easily accessible and directly modified by dementia, their presence in peripheral body fluids (including blood and urine) and skin has been further investigated. In urine, a smaller concentration of brain-derived proteins, such as the AD-associated neuronal thread protein (AD7c-NTP), can also be detected, with higher levels found in subjects with both AD [8] and mild cognitive impairment (MCI) [9], though their clinical relevance need to be further researched. On the other hand, plasma biomarkers have been widely investigated in proteomic studies [10] revealing a great extent of heterogeneity with their clinical reliability and reproducibility questioned [11]. Nevertheless, blood remains the focus in the development of novel dementia diagnostic tools, and its cellular components including platelets, red blood cells, lymphocytes, leucocytes, and mononuclear cells may also prove to have diagnostic value [12–16].
Platelets as peripheral neuronal-like systems
Platelets are the closest and most accessible peripheral neuronal-like cellular system likely to provide a wealth of information about neuronal functioning in dementia. Since discovered by Giulio Bizzozero in 1882 [17], platelets have been exploited for their clinical value. Platelets house mitochondria, dense granules [18], surface proteins, and adhesive proteins making them ample protein reservoirs. Platelets are also a source of growth factors, coagulants and inflammatory mediators involved in their main function of wound healing. Interestingly, platelet proteomes are very similar to neurons but with a relatively lower biological variation when compared to other “housekeeping” proteins such as glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and tubulin [19]; platelets also liken to serotonergic neurons in their uptake of serotonin [20]. Platelets are anucleate which makes them more susceptible to disease states shown through their involvement in the pathology of a range of diseases (i.e., infection, anemia, pre-eclampsia, renal failure) [21–23]. Platelet AβPP is also processed via identical amyloidogenic and non-amyloidogenic pathways as brain AβPP [24]. The downregulation of non-amyloidogenic pathway enzymes (i.e., ADAM10) and upregulation of amyloidogenic pathway enzymes (i.e., BACE1) characteristic of AD pathology is also reported in platelets in AD subjects [25]. Upregulation of the amyloidogenic pathway leads to increased Aβ production and the formation of Aβ aggregates (Fig. 1).

Pictorial presentation of platelet AβPP processing via amyloidogenice and non-amyloidogenic pathways. An increase in the amyloidogenic pathway (combined with a decreased in the non-amyloidogenic pathway) leads to Aβ aggregation followed by a cascade of events resulting in activation of mitochondria and increased intra-platelet phosphorylation of proteins, including tau protein. Aβ, amyloid-β; AβPP, amyloid-β protein precursor; ADAM10, a disintegrin and metalloproteinase 10; BACE1, amyloid-β cleaving enzyme 1; sAβPP, soluble amyloid-β protein precursor; P, phosphorylated tau protein sites; MAO-B, monoamino-oxidase; Ca2 +, calcium; ROS, reactive oxygen species; PLA2, phospholipase 2. Modified from Catricala et al. [26].
The sensitivity and reactiveness of platelets to their biochemical environment, thus, makes them largely suitable for use in clinical diagnosis. Here we review changes in platelets that occur during the dementia process, and discuss the viability of unique platelet proteins, enzymes, and receptors as peripheral dementia biomarkers alongside the practicality of their use in routine clinical setting.
SEARCH METHODS
This review is based on a comprehensive, systematic literature search of PubMed, GoogleScholar, and ResearchGate databases, and includes studies that were published between 01.01.1987 and 25.01.2018. The key words used in this search were: Dementia, Alzheimer’s disease, Parkinson’s disease, Dementia with Lewy Body, Vascular dementia, Subcortical dementia, Frontotemporal lobe dementia, blood, platelet, protein, and biomarker. Once identified, the following platelet proteins/component terminology were combined with previous search terms for further references: mean platelet volume (MPV), amyloid-β protein precursor (AβPP), Aβ, tau protein, clusterin, phospholipases, P-selectin or CD62p, GPIIb-IIIa or CD41, secretases, monoamine oxidase B (MAO-B), serotonin, cholesterol, membrane-bound disintergrin metalloproteinases (ADAMs), α-synuclein, AβPP cleaving enzyme 1 (BACE1), and coated platelets.
All abstracts available in English and published in peered reviewed journals were critically reviewed for methodology and clinical relevance by two authors (OA and EBM-L) and the full-text of relevant papers obtained. All reviewed studies but two [26, 27] had control subjects with no cognitive deficits or confirmed measurable differences between the control and test groups. All subjects underwent thorough clinical assessment and some had a postmortemdiagnosis (Table 1).
Comparison of platelet studies and their impact on dementia. A summary of significant human platelet research in identifying potential platelet biomarkers (including tau, IgG, AβPP, AβPP-N, α-synuclein, clusterin, ADAM10, BACE1, PLA2, and MAO-B) of dementia outlining clinical subjects, clinical assessments, protocols and findings
AD, Alzheimer’s disease; ADAM10, a disintegrin and metalloproteinase 10; ADL, Activities of Daily Living; APOE4, Apolipoprotein E; AβPP, amyloid-β protein precursor; BACE1, AβPP cleaving enzyme 1; BCA assay, bicinchoninic acid assay; BMI, body mass index; C, controls; CAMCOG, cognitive section of the CAMDEX (Cambridge Mental Disorders of the Elderly Examination); CDR, Clinical Dementia Rating Scale; CDS, Cornell Depression scale; CERAD, Consortium to Establish a Registry for Alzheimer’s Disease (as detailed in Fillenbaum et al., 2008 [115]); DIGE, difference gel electrophoresis; DSM-IV, Diagnostic and Statistical Manual of Mental Disorders, 4th edition; EDTA, Ethylenediaminetetraacetic acid; ELISA, enzyme-linked immunosorbent assay; FITC, fluorescein isothiocyanate; FTLD, frontotemporal lobe dementia; GDS, Geriatric Depression Scale; GSK3β, glycogen synthase kinase 3 beta; HIV, human immunodeficiency virus; HMW, high molecular weight; IgG, immunoglobulin G; LMW, low molecular weight; MAO-B, Monoamine oxidase B; MCI, mild cognitive impairment; MMSE, Mini-Mental State Examination; MRI, magnetic resonance imaging; NINCDS-ADRDA, National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association; NPI, Neuropsychiatric Inventory; ODFS, One Day Fluctuation Scale; PD, Parkinson’s disease; PDW, platelet distribution width; PET, positron emission tomography; PLA2, phospholipase A2, RBMT, Rivermead Behavioural Memory Test; RT-qPCR, reverse transcription quantitative polymerase chain reaction; TMSE, Thai Mental State Examination (culturally modified version of MMSE); UKPDS BB, United Kingdom Parkinson’s Disease Society Brain Bank; VaD, vascular dementia; WMS, Wechsler Memory Scale.
RESULTS
This systematic review found 86 studies in which alterations in platelets and platelet proteincontent were associated with dementia. Thus, MPV, coated platelets, platelet content of tau protein, AβPP, BACE1, ADAM10, phospholipases, α-synuclein, clusterin, immunoglobulin G (IgG), serotonin, cholesterol levels, surface receptors, and MAO-B were all reviewed as potential peripheral biomarkers of dementia.
Mean platelet volume
A number of studies have confirmed an association between MPV and dementia. MPV was higher in control subjects, lower in patients with MCI, and lower still in AD [28, 29] (Table 1) suggesting that higher MPV is an indication of higher cognitive function; Mini-Mental State Examination (MMSE) scores were positively correlated with MPV [29]. The reason for this change in MPV seen in AD is unclear. It is intriguing to speculate that if platelets are theclosest peripheral cells to neurons, MPV may be used as a by-proxy measure of the central brain neuronal cell death that occurs with the progression of AD. In this respect, MPV levels may well be a marker of either pro-inflammatory disease mechanisms, or loss of synapses and development of neurofibrillary and amyloid pathology associated with AD.
Nevertheless, this may not be the case in other dementias such as VaD. Thus, MPV increases in silent stroke in comparison to healthy subjects but decreases in VaD, similarly to what happens in AD [30]. However, higher levels of MPV in idiopathic thrombocytopenia (ITP) patients are thought to increase the progression from ITP to VaD [31], thus suggesting that higher MPV in diseases such as ITP may be used as an indicator of diseases progression. Further work in relation to elucidating the relationship between MPV and distinct dementia mechanisms is needed to understand the pathophysiology of these changes and how they are related to distinct dementia syndromes.
There is also a need for further research on the potential of any clinical application of MPV as a biomarker of AD and other forms of dementia. Firstly, the standardization of MPV measures across the population needs to be established. Many other factors would similarly need to be considered. For instance, does MPV vary between the sexes and according to ethnicity? Does MPV change during the course of healthy aging? How is MPV influenced by comorbidity and polypharmacy? These all will need to be investigated in greater detail before MPV finds its clinical use as an indicator of dementia, distinct dementia syndromes and dementiaprogression.
Coated platelets
Coated platelets are produced when there is a dual stimulation of platelets with collagen and thrombin. These platelets are able to retain an augmented concentration of pro-coagulant, full-length AβPP molecules on their membrane [26]. Using flow cytometry, coated platelets have been quantified and shown to be significantly increased in the early stages of AD (also known as amnestic MCI), but reduced in later stages of the disease [26, 32] (Table 1). This inverse correlation between the presence of coated platelets and the severity of disease was most evident in AD, whereas FTLD patients had similar number of coated platelets in both early and advanced stages of FTLD [33]. In the light of these findings, coated platelets have a real potential to be used specifically as a biomarker of the progression of AD: amnestic MCI patients with elevated levels of coated platelets are at a higher risk of progressing to AD. Therefore, coated platelets may have further utilization in preclinical stages of cognitive impairment, namely to identify those at risk of developing AD.
Tau protein
Tau protein stabilizes axonal microtubules. Tauopathies cover a wide range of neurological diseases, i.e., AD, FTLD, and several subcortical dementia subtypes [34], including progressive supranuclear palsy, corticobasal degeneration, dementia pugilistica, post-encephalitic Parkinsonism, and chronic brain encephalopathy. Hyperphosphorylation of tau protein causes its dissociation from microtubules which decreases neuronal stability and promotes cell death [35–37].Tau aggregates in the form of neurofibrillary pathology are closely related to the symptoms of dementia, in particular, cognitive impairment and decreased language skills [34].
There are only a handful of dementia studies that have explored tau protein in platelets. Although a proteomic study failed to identify tau protein in platelets [38], several research groups have identified and quantified semi quantitatively and quantitatively platelet tau. Thus, the increase in platelet glycogen synthase kinase 3 beta (GSK3β) activity, known to hyperphosphorylate tau protein (Fig. 2), was significantly elevated even in the early stages of AD (during amnesic MCI) [39] (Table 1). However, there were no significant changes in total GSK3β levels during the course of AD [39]. A later quantitative study reported similar levels of GSK3β between AD and control subjects, with the elevation of platelet phosphorylated GSK3β occurring only following 6 months anti-dementia treatment with donepezil; this was accompanied by the reduction of another enzyme that is involved in the amyloidogenic pathway, phospholipase A2 (PLA2) [40]. This would suggest that cholinesterase inhibitors have a dual impact on the platelet dementia biomarkers: they act on both the reduction of amyloid deposits (via increasing in PLA2 activity) and tau pathogenesis, due to the inhibition of the tau protein phosphorylation. This bears similarities with the neuropathological studies of decreased brain amyloid [41] and neuroprotective and/or neurorestorative effects involving both synapses and neuronal cytoskeleton [42] following anti-dementia treatment. This is another argument in support of platelets reflecting the central brain dementia mechanisms at the periphery.

Overview of some of the pathological changes that occur in platelets during the course of dementia as based on current published peer-reviewed research. A number of molecular changes that occur in platelets mirror the brain-specific dementia processes, in particular the altered AβPP processing, tau posttranslational modifications etc. However, there are still some gaps in research, i.e., MAO-B relationship to mitochondrial fluidity Aβ, amyloid-β: AβPP, amyloid-β protein precursor; ADAM10, a disintegrin and metalloproteinase 10; BACE1, AβPP cleaving enzyme 1; APOE, apolipoprotein E; GSK3β, glycogen synthase kinase 3 beta; MAO-B, monoamine oxidase B; PLA2, phospholipase A2; ROS, reactive oxygen species; sAβPP-β, secreted AβPPβ.
The direct evidence for platelet tau protein involvement in AD largely comes from two research groups. Thus, the higher ratio of high and low molecular weight tau protein, as measured in semi-quantitative studies [36], appears to correlate with both the extent of cognitive impairment [37] (Table 1) and brain atrophy in cognitively strategic regions, as measured with neuroimaging tools [43]. In another quantitative study, however, the levels of both total and phosphorylated platelet tau protein were similar between AD and control subjects, and in AD, the platelet tau protein levels were not correlated with any of the cognitive and non-cognitive (i.e., depression and behavior) measures [44] (Table 1). However, the older AD patients (above the age of 80 years) with higher MMSE scores had higher levels of platelet tau protein [45]. While these studies suggest that changes in platelet tau can be utilized as a dementia biomarker, there is a need for wider research in platelet changes of tau protein in different types of dementia and devising more sensitive analytical tools for its measurements.
Amyloid-β protein precursor
AβPP is a transgenic membrane protein that exists in many isoforms, and human platelets are perhaps the biggest reservoir of AβPP in the body [45]. The pathogenesis of AD is largely attributed to the altered processing of AβPP which is due to the changed activity of secretase enzymes (α-, β-, and γ–secretases) (Fig. 1). These enzymes determine the rate and direction of AβPP splicing to Aβ peptide products and/or AβPP cleaved commodities. The main species of Aβ released from platelets include Aβ1 - 40 with Aβ1 - 42 that are also the most predominant within neuronal plaques in the brain tissue in older people with and without dementia, especially AD [46–48]. A reduction in platelet α-secretase levels and an increase in β-secretase activity have been reported in AD (Fig. 2) [7]. These both were attributed to decreased ratios of 120 kDa–130 kDa to 110 kDa platelets AβPP fragments [49] (Table 1). It is important to note that this increase in β-secretase did not correlate with the cognitive deficits as measured by the MMSE suggesting that the increase in β-secretase may be a pre-symptomatic physiological change occurring in dementia and not secondary to the onset of the disease. However, two independent studies, one measuring coated platelets [26], and another measuring the N-terminal end of AβPP [12] reported a negative correlation of these measurements with cognitive scores as measured by the MMSE. The differences in reported findings may be due to the small number of cases enrolled in the above studies, as well as the different methodologies used to determine platelet AβPP expression (Table 1). However, another study reported that platelets Aβ may not be a specific enough biomarker for AD because the changes in its platelet expression may be due to the aging process alone [50]. Further independent studies conducted on a larger number of clinically diagnosed AD patients with different stages in clinical progression are needed to determine the real nature of the noted platelets AβPP and Aβ changes in dementia.
BACE1 is responsible for AβPP-cleavage at the β-site (Fig. 1) and facilitates the pathogenic AβPP processing in dementia. Platelet BACE1 levels are significantly lower in AD than in cognitively intact subjects [51] (Table 1). However, a number of studies reported increases in BACE1 levels in both the early [52] and in latter stages of AD [53] in comparison to their control counterparts. Further studies reported that platelet BACE1 activity elevated the level of processed secreted β-AβPP [53] which in turn increased thrombin formation (Fig. 2), and resulted in neurodegeneration. Although an increase in platelet BACE1 expression was found in both MCI and AD, the significant increase in BACE1 activity was found in AD platelets only [54] (Table 1). These studies argue that the progression of the cognitive impairment in AD is closely related to the platelet BACE1 expression and activity in AD. An interesting hypothesis arises that BACE1 may be involved in the early metabolic derangement characteristic for the earliest detectable stages of AD. This suggests that changes in BACE1 expression occur pre-symptomatically and can be monitored at the periphery. However, these findings require verification in longitudinal studies.
Disintegrin and metalloproteinase
ADAMs are enzymes that cleave AβPP in the brain at the physiological α-cleavage site [25] and are responsible for the formation of non-plaque forming peptides (Fig. 1). There was a marked reduction in ADAM10 in AD platelets [25, 55] (Table 1). Colciaghi et al. [53] reported decrease of platelet ADAM10 (as well as AβPP and BACE) in the early AD stages, suggesting that ADAM10 may be an early pre-symptomatic biomarker of AD. Manzine et al. [57] described a positive correlation between platelet ADAM10 levels and the clock drawing test (CDT) scores in AD, but not in control subjects [56]. This indicates that the visuospatial impairments in AD, as tested with the CDT are associated with a decrease in the physiological α-cleavage site of Aβ. Through reverse transcription quantitative polymerase chain reaction, it was concluded that the decrease in platelet ADAM10 is not caused by the downregulation of platelet ADAM10 mRNA as there was no significant difference in platelet ADAM10 mRNA expression between AD patients and controls [55]. However, recent research has identified microRNA-221 as being linked to ADAM10 protein reduction through an increase in ADAM10 inhibition [57]. Current research collectively suggests that platelet ADAM10 is affected by AD. However, further studies are needed to investigate the exact role of platelet ADAM10 in dementia in order to validate ADAM10 as a diagnostic clinical tool.
Phospholipases
Another enzyme that is closely linked to platelet membrane metabolism is PLA2 [58]. The initially conducted studies in platelets raised two distinct patterns of PLA2 impact on the amyloidogenic pathway suggesting that PLA2 activation may be stimulated by AβPP [59] but also that PLA2 may stimulate AβPP secretion [60]. However, the exact function of PLA2 in relation to the AβPP metabolism still remains largely unknown. Increased PLA2 activity was described in AD patient platelets [61]. However, the decrease in PLA2 activity correlates with earlier onset and increased rate of cognitive decline in AD, as confirmed in both AD brain tissue and platelets [62]. The onset of the increased PLA2 activity appears to be associated with the amyloid pathogenesis (Fig. 1). Thus, Gattaz et al. [64] found decreased PLA2 activity to be significantly correlated with higher neurofibrillary and amyloid pathology, suggesting that the decrease in PLA2 activity may closely follow the loss of neuronal cells occurring with the progression of AD pathology. This indicates that PLA2 activity is a consequence and not a cause of the AD pathology. More recent studies have confirmed that platelet PLA2 activity was decreased in AD [40]. Establishing the relationship between AβPP and PLA2 in platelets may successfully facilitate incorporating PLA2 alongside AβPP as a diagnostic peripheral biomarker of dementia (if platelet AβPP is confirmed as an established peripheral dementia biomarker). This evidence of co-inducement of AβPP and PLA2 may aid in increasing the accuracy of peripheral, especially amyloidogenic, biomarkers indementia.
Phospholipase C (PLC), in particular PLCδ-1 isoform, accumulates in the AD brain [63]; consequently, PLC activity appears to be significantly lower in AD patient platelets than in the platelets of controls [64]. In recent years, there has been little success in replicating these studies. More research into the changes in PLC activity in dementia is necessary before considering this enzyme as a biomarker for dementia.
α-Synuclein
α-Synuclein is found in abundance in erythrocytes and platelets [15, 65]. α-Synuclein is closely associated with the pathogenesis of Parkinson’s disease with and without dementia, as well as with dementia with Lewy bodies [66, 67]. The exact function of α-synuclein in normal brain is not yet known; however, the apparent upregulation of α-synuclein in the presynaptic terminal during acquisition-related synaptic rearrangement [68], and especially in preclinical stages of AD [69], suggests that α-synuclein is closely related to cognitive function and neural connections in the brain. In platelets of healthy individuals, α-synuclein levels remained stable with age [67], and do not discriminate between older people with AD and those who are cognitively intact [12].
The gene that codes for α-synuclein (SCNA) appears to have an impact on platelet volume. Thus, studies using SCNA–/– knockout (KO) mice described a reduction in MPV in KO mice compared to the wild type [70]. As discussed above, these findings provide further support for MPV to be considered as an early marker of platelet activation. The link between SCNA, MPV, platelet activation, and dementia progression indicates that the SCNA has an impact upon platelets and their activation in dementia patients, but its product, peripheral, platelet α-synuclein, may not be necessarily altered as a function of aging and/or cognitive impairment.
Clusterin
Clusterin is a complement inhibitor protein involved in fundamental cell functions such as cell adhesion, apoptosis and lipid transport. It is a Golgi chaperone that facilitates the folding of secreted proteins in an ATP-independent pathway. Clusterin is found in high levels on platelet surfaces [71], mediates Aβ transport across the blood brain barrier and promotes Aβ fibrillization [72], A change in clusterin levels may induce oxidative stress which can lead to clinical symptoms of dementia. Although platelet clusterin levels were similar in control and AD participants [12], plasma/platelet clusterin ratios were increased in AD (but decreased in VaD) and were correlated with apathy and indifference as well as aberrant motor behavior (characteristic behaviors of AD) [12] (Table 1).These findings suggest that clusterin blood levels have the potential to be used to differentiate between distinct dementia subtypes, as well as be closely linked to a number of behavioral problems seen in dementia. Whether this protein is the cause agent or a result product of the dementia process, remains unknown.
Platelet immunoglobulin G
α-Granule platelet IgG levels are proportional to plasma IgG concentrations [73]. The total platelet IgG was consistently increased in patients with ITP and those with thrombocytopenia. This is likely due to increased platelet destruction of non-immune mechanisms [73]. Natural, self-reactive antibodies (such as IgG) in peripheral blood may control the accumulation of toxic proteins in the human brain [67]. There was an identified increase in platelet IgG in AD (16.5%) while plasma levels of IgG remained unaltered [12] (Table 1). Furthermore, the findings of the latter pilot study suggest that the anti-dementia drugs can normalize the platelet expression of IgG in subjects with AD [12]. There is yet to be identified whether this upregulation is being caused by age, duration of dementia and dementia treatments, or the degree of the disease.
Serotonin
A number of studies have addressed the divergences of both uptake and regulation of platelet serotonin in dementia subjects. Serotonin is not produced in platelets but is taken up via similar mechanisms seen in serotonergic neurons [20]. The platelets’ dense granules are responsible for the uptake of serotonin from the blood; once in platelets, serotonin is complexed with ATP or calcium. This stable serotonin-ATP/calcium complex is then released and acts as a platelet agonist on 5HT2 receptors [74]. The number of platelet dense granules decrease in AD patients in comparison to controls [20], while plasma concentrations increase in AD. The distinction between the upregulation and downregulation of dense granules in different diseases supports the notion of dense granules (and ultimately serotonin levels) as dementia biomarkers. For this research to be applied clinically, standardization and baseline of dense granule levels in a healthy population is also required. It is doubtful that platelet serotonin levels alone could be used as a dementia biomarker as serotonin is implicated in a vast number of clinical syndromes, especially anxiety and depression, and may be altered via the additional use of the wider use of antidepressants, in particular the selective serotonin re-uptake inhibitors.
Depression is a concomitant clinical symptom of dementia. It is found in approximately one third of AD patients [75, 76] and is linked to low levels of serotonin. There is a severely lower rate of serotonin uptake in platelets in AD which leads to increased plasma serotonin levels [7, 77], whereas the platelet serotonin levels progressively become lower as the disease progresses [77–80] (Table 1). How this is related to the underlying depression seen in dementia sufferers, and in AD, in particular, still remains unknown. The most obvious explanation would be linking the decrease in the severity of depression with the progression of AD with the decrease in plasma serotonin levels; a similar decrease was seen in platelet MAO-B activity over the course of AD. The fact that depression is more prevalent in early dementia than in late dementia raises an important research question as to whether reduced serotonin levels, similarly to the higher prevalence of affective disorders [81] may also increase the risk to developing dementia.
Cholesterol levels
Platelet membrane cholesterol has an impact on the pathogenesis of AD. Thus, cholesterol to phospholipid ratio is significantly lower in AD platelets than in platelets of control subjects [82]. According to Cohen et al., there was an increase in internal platelet membranes, which parallels the increase in platelet membrane cholesterol, but no change in the overall membrane lipid composition in platelets from AD subjects [82]. The increase in platelet membrane cholesterol leads to other biological changes that occur in AD, such as an increase in AβPP β-secretase activity [83] which reduces the de novo cholesterol biosynthesis via a negative feedback. The physiological disruption in the homeostatic control of cholesterol biosynthesis appears to be responsible for the abnormal accumulation of cholesterol in people at risk of developing dementia, particularly AD. Liu et al. reported that cholesterol alongside monosialotetrahexosylganglioside (GM1) levels in platelet lipid rafts were higher in AD in comparison to controls whilst other platelet proteins remained unchanged [84]. However, this change in cholesterol levels was not seen in MCI patients [84]. Interestingly, IgM antibodies against GM1 appear to be increased in dementia and some other autoimmune diseases [85]. In the light of lack of reproducible data, it is somewhat difficult to comment about their diagnosticutility.
Surface receptors
Platelet surface receptors have also been quantified as markers of the activation state of platelets, and platelet activation is known to be increased in dementia. Both platelet CD62p (P-selectin) expression and CD41 (GPIIb-IIIa) complex activation were significantly elevated in AD patients. CD41 is a platelet activation marker in dementia and the increase in CD41 complex expression in platelets was associated with faster cognitive decline in AD [86]. However, there is an overwhelming lack of further similar clinical studies.
Another platelet receptor, CD62p, is present on activated platelet membranes [87] and promotes platelet adhesion and thrombin formation [88] (Fig. 2). Increased levels of CD62p were found in circulation in AD patients, but there was no significant change in the membrane-bound CD62p [89, 90] (Table 1). Kniewallner et al. investigated AD postmortem brain tissue and reported that, although both CD41+ and CD62p+ platelets were directly associated with Aβ plaques, the majority of CD62p+ platelets were present in vessels not associated with Aβ plaques or Aβ vascular deposits [91] (Table 1). These findings suggest that prior to the onset of overt AD clinical symptoms, increased levels of CD62p are expressed on platelet surfaces. Furthermore, the higher CD62p platelet expression in AD appears to be closely linked to sex, the severity and duration of AD, depression, agitation, and/or family history of dementia, but not age [77]. Increased platelet membrane-bound CD62p may, thus, have a potential to act as a clinical indicator of dementiarisk.
Monoamine oxidase type B (MAO-B)
MAO-B is an enzyme located in the outer mitochondrial membrane of platelets and is largely responsible for the degradation of dopamine and vasoactive amines to reactive oxygen species. MAO-B (spot B645 in particular) is upregulated with age in healthy participants, and it is this excessive upregulation with age that gives rise to symptoms of Parkinson’s disease dementia (PDD) and influences cognitive function [32] (Fig. 2). In addition, there were notably higher levels of platelet MAO-B in late-onset (non-familial) AD and PDD in comparison to early-onset (familial) AD and control subjects [92]. Furthermore, the levels of MAO-B activity appeared to increase with the progression ofdementia [97].
However, there is some inconsistency in reported findings of platelet MAO-B activity in dementia. Thus, a number of studies reported a decrease of MAO-B activity in later stages of dementia [7, 93], whereas others did not find a significant correlation between MAO-B activity and neurodegeneration [94]. Similarly, AD subjects treated with anti-dementia drugs, appear to have very similar platelet MAO-B levels to those detected in age-matched controls (Mukaetova-Ladinska et al, personal communication). The differences in findings may, thus, closely reflect the differences in distinct clinical dementia phenotypes, since AD subjects with and without psychosis have very different MAO-B platelet profiles [16] (Table 1). Namely the non-psychotic AD individuals have higher MAO-B platelet levels compared to those who have psychotic symptomatology [95]. Interestingly, the effectiveness of MAO-B inhibitors in improving cognitive deficits in dementia though explored [96], needs to be further investigated. In order to pursue this venture, we will need to gather further clinical evidence for the role of MAO-B in the dementia pathogenesis and, in particular, how MAO-B changes at the periphery as a function of dementia progression and clinical phenotypes.
SUMMARY AND CONCLUSIONS
Diagnosis of dementia currently depends on clinical, neuropsychological, and imaging investigations. It is only by strengthening each component of this triad that there can be an increased accuracy in the clinical diagnosis of dementia. In order for improved diagnosis and treatment to be achieved, dementia needs to be better understood. As a syndrome, dementia hosts a spectrum of neurodegenerative disorders each with different causes and effects on cognitive function and quality of life in affected subjects. It is important that clinically-applicable, specific dementia biomarkers are developed – platelet proteins and platelet altered physiology hold promise, as they are easily available for routine testing and mirror closely the central nervous pathophysiological process(es) of dementia, as shown in the currentreview.
There is a fair amount of research supporting the use of platelet proteins as peripheral biomarkers of dementia. However, there is little-to-no understanding of why there are alterations in platelet proteins during the course of dementia. Studies are often retrospective and use biological differences between dementia patients and variable-matched controls to determine the involvement of platelet proteins. This proves problematic as it does not provide evidence of the cause of the disease, but rather the changes that are present after the manifestation of notable, clinical symptoms. Causative markers of dementia, thus, need to be identified to allow for predictive prognosis in clinical settings.
This review suggests that platelet tau, AβPP (particularly with regards to coated platelets), AβPP-associated ADAM10 and BACE1 have great potential to be explored further as potential biomarkers of dementia, since they appear to precede the overt clinical symptoms of dementia, and thus can aid its early diagnosis. Furthermore, platelet mitochondrial membranes and platelet membranes are key sites of potential peripheral biomarkers of dementia. Nonetheless, there is a lack of detailed comparative proteomic studies on platelets in people with and without dementia, and such studies will enhance the understanding of the platelet’s proteome and alterations in dementia that can be taken further in quantitative validation studies. Only with the right level of in-depth research, the potential for such proteins to be used as both diagnostic and prognostic cues in dementia will berealized.
