Introduction
Alzheimer’s disease is a neurodegenerative disease and a primary cause of dementia. More than 45 million people worldwide have Alzheimer’s disease, and it is estimated that the number of Alzheimer’s patients will reach 74.7 million in 2020 and 131 million by 2050[54]. Recent surveys have shown that preventing Alzheimer’s disease and preserving cognitive health are among the top concerns of those in the aging public, and many list dementia as their most feared disease-ahead of cancer or stroke [36]. In fact, although the overall death rate from stroke and cardiovascular disease is decreasing, the Alzheimer’s-related death rate is increas- ing in the United States [73]. The major sticking points in overcoming Alzheimer’s disease stem from diagnosis and treatment. It is difficult to diagnose Alzheimer’s disease in the early stages of the illness, and there is no test to diagnose it definitively before death. There is also a tacit agreement that there is no cure for Alzheimer’s disease and that the best strategy is to delay or slow its progression. Further, Alzheimer’s disease is a heterogeneous disorder because of idiosyncratic differences in genetic background, environ- mental triggers, or the presence of other diseases, which makes treatment even more difficult [32].
The symptoms of Alzheimer’s disease are quite diverse. Typically, it begins with a mild decline in memory ability and gradally progresses to deteriorating cognitive function and daily activities [41]. By the time Alzheimer’s disease is clinically diagnosed, neuronal loss and neuropathologic le- sions have occurred in many brain regions [21,49]. There- fore, to overcome or at least minimize the impact of Alzheim- er’s disease, we need to discover biomarkers that reflect ear- ly symptoms of this disease reliably and reproducibly. Recently, there has been increasing evidence that platelets may be a reliable source of the Alzheimer’s biomarker amy- loid β (Aβ). Platelets contain high levels of amyloid pre- cursor protein (APP), have enzymatic activities generating Aβ peptides, and have signaling pathways that lead to plate- let activation and aggregation which have been described to modulate APP processing [30]. Importantly, there is accu- mulating evidence showing a correlation between plasma concentrations of Aβ and Alzheimer’s dementia. This review summarizes recent advances in the research on Aβ gen- eration by platelets, its relevance, and its potential as a new biomarker of Alzheimer’s disease.
Platelets
Platelets, also called thrombocytes, are membrane-bound and -formed elements that are fragments of complete cells. During their development within red marrow, they are de- rived from a large precursor cell-the megakaryocyte. Plate- lets consist of cytoplasm surrounded by a cell membrane, and they do not have a nucleus, but hey do contain some types of cytoplasmic organelles. These cells have a relatively short life span of 7-10 days in humans, following which they are selectively cleared by the reticuloendothelial system [53]. Although the platelet count (PC) is normally maintained at 150, 000~400, 000 cells per microliter of blood, chronic in- flammation or acute infections can be related to a reactive high PC or a sudden increase/decrease in platelets [44].
Platelet counts in aging and Alzheimer’s disease patients
Age-related changes in PCs are still controversial. Stevens and Alexander [68] first examined the PCs of 868 blood do- nors aged 18-65 and, although age-related change was not found, PCs in women were significantly higher than in men. In the United States, 12, 142 inhabitants participated in the Third National Health and Nutrition Examination Survey, in which 60- to 69-year-olds had counts that were 7×103/μl lower than young adults, and 70- to 90-year-olds had counts that were 18×103/μl lower [61]. In Italy, PCs in 7, 266 in- habitants were examined, and an average platelet decrease of 6×109/l for every 10 years of age was observed [4]. Likewise, 18, 097 inhabitants participated in the MOLI-SANI project, which showed that a 10-year increase in age corre- sponds to a sex-adjusted decrease of 10×109/l in the PC and that the prevalence of thrombocytopenia increases with age
[59].
urther, recent data from 40, 987 subjects enrolled in three population-based studies in seven Italian areas-including six geographic isolates-showed that PCs were similar in men and women until the age of 14 but that PCs in old age fell by 35% in men and 25% in women compared with early infancy [5]. Although increasing age is not a direct cause of Alzheimer’s disease, it is one of the largest well- known risk factors. Is there, then, any correlation between PCs and Alzheimer’s disease? A hospital-based case study in China of 92 Alzheimer’s disease patients and 84 age- and sex-matched normal controls revealed no significant differ- ences in PCs [11], and that study was consistent with pre- vious reports. For example, Sevush and colleagues [63] found no difference in overall PCs between 91 patients with probable Alzheimer’s disease and 40 age-matched control subjects. Furthermore, an analysis of 20, 591 FDA reports on cases of Alzheimer’s disease–type dementia found that only 0.4% developed thrombocytopenia, which appears to be as- sociated with long-term use of certain anti-Alzheimer’s dis- ease medicines; this data indicates that thrombocytopenia is extremely rare in Alzheimer’s disease patient cohorts [34]. Therefore, although PCs decrease with age, altered PCs may not be a direct cause of Alzheimer’s disease pathogenesis.
Platelet indices in Alzheimer’s disease patients
Platelet indices are considere markers of platelet activa- tion and provide clinical information about various diseases, such as thrombocytopenia and Alzheimer’s disease. Clini- cally important platelet indices include mean platelet vol- ume (MPV), platelet volume distribution width (PDW), pla- teletcrit (PCT), mean platelet component (MPC), mean plate- let mass (MPM), and platelet component distribution width (PCDW). MPV reflects the size of the platelets and is related to platelet production and activation. It has clinical meaning in cardiovascular diseases, respiratory diseases, Crohn’s dis- ease, rheumatoid arthritis, diabetes mellitus, and the ma- jority of neoplastic diseases [39]. PDW is a measure of varia- tions in platelet size and may increase when platelets are activated. Both MPV and PDW increase during platelet acti- vation, but PDW is a more specific marker of platelet activa- tion, as MPV increases by simple platelet swelling but PDW does not. Interestingly, clinical investigation data has re- vealed that Alzheimer’s disease patients have lower levels of PDW than normal controls [11, 24, 46, 72].
However, MPV in Alzheimer’s disease patients is incon- sistent. For example, a clinical report by Chen and colleagues [11] showed increased MPV in Alzheimer’s disease patients, which is consistent with a previous report [38], but other clinical data has shown lower MPVs in patients with vas- cular dementia and Alzheimer’s disease [46,72]. Since MPV4 is a otential marker of ongoing vascular damage, more studies are needed to verify the involvement of MPV4 in the pathogenesis of Alzheimer’s disease.
APP processing in the platelet
Aβ peptides are the main components of the senile pla- ques that cause Alzheimer’s disease and are generated by the proteolytic cleavage of APP. The APP gene produces three major splice variants-APP695, APP751, and APP770 -produced in neurons, endothelial cells, and platelets, re- spectively [67]. APP751 and APP770 are also expressed in endothelial cells, and these expression levels are higher in the endothelial cells of cerebral blood vessels than in periph- eral arteries [25]. As shown in Fig. 1, APP is cleaved by an α-secretase, producing soluble APPα (sAPPα) and a mem- brane-tethered α-C terminal fragment (CTF83). APP can also be cleaved by a β-secretase, producing soluble APPβ (sAPP β) and a β-C terminal fragment (CTF99). CTF99 is then fur- ther cleaved by γ-secretase, which liberates the Aβ peptides Aβ40 and Aβ42 [13]. Consequently, when APP is cleaved by α-secretase first, Aβ peptides are not produced.
Fig. 1. Amyloid precursor protein (APP) processing pathways.
Platelets are small anucleate blood cells and contain di- verse granules, such as α-granules, dense granules, and lysosomes. Platelet α-granules have APP, and APP-proces- ing enzymes, such as α-, β-, and γ-secretases, are also found in platelets [3, 16, 69]. In addition, platelets can produce all APP fragments found in neurons: the soluble secretory APPs (sAPPα and sAPPβ); the amyloidogenic fragments CTF99 and CTF83; and the Aβ peptide [28]. Although α-secretase activity is the dominant pathway in platelets under normal conditions, both sAPP and Aβ can be released from platelets in response to thrombin and collagen, which induce platelet degranulation [45]. Therefore, platelets have all the machi- nery to produce APP fragments, and it is believed that APP fragments from platelets play a role in the normal function and pathogenesis of blood vessels.
Platelets as a source of amyloidogenic amyloid β in the blood
As mentioned above, platelet α-granules contain APP and release their contents when the platelet is activated. One compelling piece of evidence was found by Van Nostrand and colleagues [70], in which the activation of platelets with either collagen or thrombin resulted in the secretion of ap- proximately 46% or 53% of total APP, respectively. Of note is that platelets are the primary source (~90%) of Aβ peptide in the blood [12]. In addition, activated platelets in those with advanced Alzheimer’s disease contain significantly higher amounts of surface membrane–bound APP than pla- telets from non-demented age-matched individuals [18]. Further, in the latelets of Alzheimer’s disease patients, in- creased activation of β-secretase (BACE1) and decreased ac- tivation of α-secretase (ADAM10) was observed [16, 50, 69].
Since α- and β-secretase pathways seem to be mutually exclusive, reduction of α-secretase activity can enhance β- secretase amyloidogenic cleavage of APP. Along the same lines, the content of APP fragments metabolized by α-secre- tase (αAPP) in platelets from Alzheimer’s disease patients was found to be significantly lower than from control sub- jects, and this phenomenon is consistent findings from the cerebrospinal fluid of Alzheimer’s disease patients [16]. Interestingly, Aβ peptides can also be generated by cleaving the platelet-released APP in brain vessels’ endothelial cells[17]. Combined, these reports suggest that platelets are the main source of amyloidogenic Aβ in the blood of Alzheim- er’s disease patients.
Transport of peripheral amyloid β into the brain
Abnormal Aβ accumulation in the brain is responsible for the neurodegeneration and cognitive decline observed in Alzheimer’s disease patients. Its accumulation is caused by either overproduction of Aβ or a dysfunction of Aβ clear- ance, and Aβ clearance may be affected by the concentration equilibrium between the brain and periphery (influx or ef- flux of Aβ). Interestingly, dysfunction of Aβ clearance is h- pothetically estimated in 99% of all Alzheimer’s disease patients. Aβ efflux mechanisms include the blood–brain barrier (BBB), lymphatic-related, and arachnoid granule pathways [14]. In contrast, recent noteworthy research has shown that Aβ interaction with receptors for advanced gly- cation end products (RAGE) in the blood vessels result in the transport of Aβ across the BBB and that RAGE-ligand interaction suppresses accumulation of Aβ in the brain pa- renchyma [20].
Interestingly, RAGE mediates the continuous influx of pe- ripheral Aβ into the brain but cannot clear brain-derived Aβ [65]. Supporting this theory, constant transfusion of blood from APPswe/PS1dE9 mice to their wild-type litter- mates demonstrated that the human Aβ originating from transgenic Alzheimer’s disease model mice enters the circu- lation and accumulates in the brains of wild-type mice, form- ing cerebral amyloid angiopathy and Aβ plaques after a 12- month period of parabiosis [7]. Likewise, FPS-ZM1, a RAGE- specific blocking agent, inhibits both Aβ influx across the BBB and RAGE expression, reducing hippocampal Aβ levels and reversing memory impairment in db/db mice [71].
These innate and exquisite influx and efflux machineries maintain a balance of Aβ levels between the central nervous system and periphery under normal conditions. Interesting- ly, although the balance between the influx and efflux of Aβ throgh the BBB is maintained while young, Aβ efflux is significantly increased in older genetic animal models of Alzheimer’s disease [23]. Another line of evidence has shown that there is a dynamic equilibrium of Aβ levels between the central nervous system and plasma until the age when Aβ deposition declines, at which point plaque formation cre- ates a new kinetics of Aβ flow because soluble Aβ from the central nervous system not only enters the plasma, but also deposits onto the amyloid plaques in the central nerv- ous system [22]. Combined, there is a well-maintained bal- ance of Aβ levels between the central nervous system and blood, and the disruption of the balance or a kinetic shift based on the concentration of plasma Aβ may precede or run parallel with the pathogenesis of Alzheimer’s disease.
Amyloid β as a peripheral biomarker of Alzheimer’s disease
Biomarkers are indices that represent what is happening inside our bodies and can be found by laboratory and clin- ical tests. Biomarkers can help doctors and scientists diag- nose diseases and health conditions, identify health risks, monitor responses to treatment, and see how a person’s dis- ease or health condition changes over time. The National Institute on Aging and Alzheimer’s Association research framework defined Alzheimer’s disease by its underlying pathologic processes, which can be documented by post- mortem examination orin vivo by biomarkers [35]. Biomark- ers in Alzheimer’s disease are classified with the AT(N) sys- tem—Aβ deposition, pathologic tau, and neurodegeneration. Aβ deposition includes Aβ42 or Aβ42/Aβ40 ratios in the CSF and amyloid positron emission tomography (PET); aggre- gated tau includes phosphorylated tau in the CSF and Tau PET; and neurodegeneration includes anatomic MRI, fluoro- deoxyglucose (FDG) PET, and total tau in the CSF [35].
Biomarker analysis from CSF and PET data correlates highly with brain biopsy findings, and changes enable early diagnosis of Alzheimer’s disease [43, 62, 74]. However, Alzheimer’s is a heterogeneous disorder; thus, in many cas- es, a single biomarker is not accurate enough to diagnose disease status correctly. In addition, although serious com- plications are rare, CSF-based biomarker analysis needs lum- bar puncture, and this approach is quite invasive. In the case of PET analysis, patients have to visit a center equipped with PET, and running costs are high. Therefore, the medical need is growing for non-invasive and cost-saving biomarker anal- ysis methods for Alzheimer’s disease diagnosis that are ac- curate, sensitive, and reproducible.
Could Aβ in the blood be a biomarker of Alzheimer’s disease? There is accumulating clinical evidence supporting the theory wherein peripheral Aβ levels are such a biomarker. First, as descried above, there is a dynamic equi- librium of Aβ levels between the central nervous system and plasma, and there is thus a strong correlation between Aβ levels in the blood and neuropathological changes in the cen- tral nervous system [52]. Interestingly, the equilibrium of Aβ levels between the central nervous system and plasma is maintained until the age when Aβ deposition declines, at which point plaque formation creates a new kinetics of Aβ flow because soluble Aβ from the central nervous system not only enters the plasma, but also deposits onto amyloid plaques in the central nervous system [22].
Along these lines, a number of studies have suggested that the Aβ42/Aβ40 ratio is significantly reduced in patients with Alzheimer’s disease and mild cognitive impairment [1, 6, 15, 29, 31, 37, 40, 42, 55-57, 60, 64]. One outstanding piece of evidence suggesting an association between a decreased Aβ42/ Aβ40 ratio, mild cognitive impairment, and Alzheimer’s disease came from a prospective study by Graff-Radford et al. [31]. They measured plasma Aβ40 and Aβ42 levels from 563 cognitively normal volunteers and followed up for be- tween 2 and 12 years. In that study, 53 subjects developed mild cognitive impairment or Alzheimer’s disease, and sub- jects with low plasma Aβ42/Aβ40 ratios were at significantly greater rsk. Furthermore, Okereke et al. [55] measured the plasma Aβ40 and Aβ42 levels of 481 participants in late mid- life (mean age 63.6 years), and cognitive testing was con- ducted 10 years later. In their study, lower plasma Aβ42/Aβ 40 ratios were associated with worse late-life decline in cogni- tive functions. Combined, these reports suggest that plasma Aβ42/Aβ40 ratios may be a clinically applicable premorbid biomarker for screening elderly subjects who are at poten- tially higher risk for developing mild cognitive impairment or Alzheimer’s disease.
Advantages and disadvantages of plasma Aβ42/Aβ40 as a biomarker of Alzheimer’s disease
As described above, CSF-based biomarker analysis re- quires a rather invasive procedure—lumbar puncture—and for a PET analysis, patients must visit a center equipped with PET, whose running costs are high. In contrast, blood bio- markers can be analyzed by drawing small amounts of blood, and this procedure is non or minimally invasive. Blood test- ing is a well-established clinical procedure worldwide, so no further training is needed, and drawing blood is rela- tively cheap. However, the most important advantage is that periodic blood draws and biomarker analysis would enable elderly people to monitor the potential risk of mild cognitive impairment or Alzheimer’s disease in dvance. This is im- portant because Alzheimer’s disease is not currently curable, and its care requires early diagnosis and multidisciplinary management.
However, there are also some disadvantages to using plasma Aβ42/Aβ40 ratios as a biomarker. First, the concen- tration of Aβ in the blood is much lower than in the CSF (10-fold lower in plasma than in CSF). In addition, blood contains cells and different molecules, such as protein, nu- cleic acids, lipids, and metabolites, and this complexity may provide variability between analyses. Further, physiological status and health conditions, such as inflammatory and met- abolic disorders, can derange the composition of blood com- ponents, which may make blood testing unreliable [33]. Nonetheless, blood-based biomarkers would be an ideal op- tion as the first-step of a multi-stage diagnostic process and provide the means to determine which individuals or pa- tients should receive referral for assessment by specialists, including diagnostic CSF analysis, magnetic resonance imag- ing (MRI), or amyloid PET diagnostics [33].
Other sources of amyloid β and its roles in the peripheries
In the brain, although glial cells have the means to pro- duce Aβ peptides, it is mostly synthesized by neurons [58]. Likewise, platelets contribute to 90~95% of circulating amy- loid peptides in our body [26,66]. In the periphery there are other sources of Aβ peptides which ply an important role in pathophysiology. For example, hyperglycemia in- creases expression of full-length APP accompanied by in- creased secretion of Aβ42 leading to decreased endothelial tight junction [10]. In addition, ischemia, cellular stress or inflammation increases cell surface localization of APP in endothelial cells and this event may contribute to the im- paired homeostasis of Aβ clearance from the brain [8, 26, 51]. Interestingly, deposit of Aβ42 in capillaries highly corre- lated with both Aβ42 deposits in plaques and morphological Alzheimer’s disease criteria [2]. Further, Aβ exerts anti- fibrotic function by both autocrine and paracrine manners on hepatic stellate cells and liver sinusoidal endothelial cells by suppressing TGF-β release and elevating NO production[9]. Combined, although platelets are major source of amy- loid peptides in the periphery, amyloid peptides from other types of cells also participate in the pathogenesis of diseases including Alzheimer’s disease.
Suggestive outline from generation of Aβ in platelets to Alzheimer’s disease pathogenesis
There are two types of Aβ peptides transports across the blood brain barrier, influx into the brain and clearance out of the brain. First, Aβ peptides secreted into the blood can be transported into the brain by RAGE [20]. On the other hand, LDL receptor-related proteins (LRP) mediates clear- anc of Aβ peptides [19]. Under normal condition, influx and efflux machineries maintain a balance of Aβ levels be- tween the brain and periphery. However, as shown in Fig. 2, platelet β-secretase activity is elevated in mild cognitive impairment or Alzheimer’s disease [27,48] and membrane cholesterol content in platelets positively correlates with β -secretase activity [47]. Thus, when Aβ production in the platelets increases, the balance of Aβ levels may be dis- rupted or a kinetic shift could favor Aβ plaque formation inside the brain leading cognitive impairment as well as Alzheimer’s disease.
Fig. 2. Plasma Aβ level is increased in certain conditions such as mild cognitive impairment, Alzheimer’s disease or increased membrane cholesterol con- tent in platelets. These events may disrupt the balance of Aβ concentration between brain and plasma, and lead increased influx of Aβ peptides into the brain resulting in Aβ plaque formation. RAGE: receptors for advanced glycation end products, LRP: LDL receptor-related proteins, A β: amyloid β, BBB: blood-brain barrier.
Conclusion and future focuses
In the last decade, great scientific advances have been made in the field of Alzheimer’s disease. Elaborate and pro- spective studies have revealed its pathogenesis, and key molecules have been developed as biomarkers. However, unfortunately, the currently establised biomarkers are key molecules from CSF and analysis by PET. Sampling of CSF is an invasive procedure, and PET analysis needs expensive equipment. Therefore, a fast, non-invasive, and cost-saving biomarker analysis method is needed, and a validated blood- based biomarker analysis could be the answer.
As shown above, low Aβ42/Aβ40 ratios in the blood are correlated with the pathogenesis of Alzheimer’s disease and cognitive decline. In addition, prospective studies in elderly people have shown that a low Aβ42/Aβ40 ratio represents a high risk of Alzheimer’s disease progression. Combined, plasma Aβ42/Aβ40 ratios may be a credible biomarker of Alzheimer’s disease and mild cognitive impairment. In a clinical situation, periodic analysis of plasma Aβ42/Aβ40 ra-tios may be useful in monitoring the potential for cognitive decline in elderly people and could be also used as a prece- dent analysis for Alzheimer’s disease. Diagnosis with a blood test in primary care could thus provide access to con- firmatory diagnosis with PET or CSF sampling. In the future the better characterization of the biological and pathophysio- logical role of Aβ generated by platelets will open a new chapter on early diagnosis of Alzheimer’s disease and devel- opment of new treatment option. Clinically, plasma Aβ level will prmpt clinicians to diagnose Alzheimer’s disease pa- tients before its symptoms are transparently overt. In paral- lel, it is expected that additional research is performed to clearly elucidate the therapeutic potential of approaches tar- geting plasma Aβ. For example, molecules capturing Aβ in the plasma or inhibiting the function of RAGE may provide benefits in preventing or delaying the progression of Alzheimer’s disease. For this purposes, since the main source of Aβ in the blood is the platelets, more studies will be need- ed to elucidate the link between the production of amyloido- genic Aβ in the platelets and its potential as a therapeutic target against Alzheimer’s disease.
Acknowledgements
This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant num- ber: HI18C2383).
The Conflict of Interest Statement
The authors declare that they have no conflicts of interest with the contents of this article.
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