Front. Neurol., 22 December 2017

Elevated Serum α-Synuclein Autoantibodies in Patients with Parkinson’s Disease Relative to Alzheimer’s Disease and Controls

imageAli Shalash1*, imageMohamed Salama2,3*, imageMarianne Makar1, imageTamer Roushdy1, imageHanan Hany Elrassas4, imageWael Mohamed5,6, imageMahmoud El-Balkimy1 and imageMohamed Abou Donia7
  • 1Department of Neurology, Faculty of Medicine, Ain Shams University, Cairo, Egypt
  • 2Medical Experimental Research Centre (MERC), Faculty of Medicine, Mansoura University, Mansoura, Egypt
  • 3Faculty of Medicine, Toxicology Department, Mansoura University, Mansoura, Egypt
  • 4Faculty of Medicine, Okasha Institute of Psychiatry, Ain Shams University, Cairo, Egypt
  • 5Faculty of Medicine, Department of Clinical Pharmacology, Menoufia University, Shebin El-Kom, Egypt
  • 6Basic Medical Science Department, Kulliyyah of Medicine, International Islamic University Malaysia, Kuantan, Malaysia
  • 7Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, United States

Early diagnosis of neurodegenerative diseases is of paramount importance for successful treatment. Lack of sensitive and early biomarkers for diagnosis of diseases like Parkinson’s disease (PD) is a handicapping problem for all movement disorders specialists. Using serum autoimmune antibodies (AIAs) against neural proteins is a new promising strategy to diagnose brain disorders through non-invasive and cost-effective method. In the present study, we measured the level of AIAs against α-synuclein (α-syn), which is an important protein involved in the pathogenesis of PD. In our study patients with PD (46 patients), Alzheimer’s disease (AD) (27 patients) and healthy controls (20 patients) were evaluated according to their sera α-syn AIAs levels. Interestingly, α-syn AIAs were significantly elevated in PD group compared to AD and healthy controls, which advocates their use for diagnosis of PD.


Dementia of Alzheimer’s type and Parkinson’s disease (PD) are considered the first and the second most common neurodegenerative disorders worldwide within adults. The prevalence of Alzheimer’s disease (AD) is 1–2% at the age of 65 years, which doubles every 5 years to >35% at the age of 85 years, while the PD prevalence is 1% over 65 years and reaches 4% over 80 years (1, 2).

Parkinson’s disease is characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta (SNc) and the accumulation of insoluble cytoplasmic protein inclusions (Lewy bodies), which is composed of α-synuclein (α-syn) (1, 3). Thus, α-syn aggregation is a central component of the pathogenesis of PD, which interferes with different cellular functions including lysosomal and mitochondrial functions, autophagy, vesicular homeostasis, and microtubule transport, and induces neuroinflammatory process (4). Additionally, α-syn aggregation has a role in the pathogenesis of AD through its interaction with tau protein and amyloid and has been used as potential biomarker by previous studies (57). Accordingly, some studies investigated the α-syn autoantibodies (AIAs) as putative biomarker compared patients with PD, to patients with AD along with controls (8).

Furthermore, several animals and patients’ studies confirmed the connection between neuroinflammation and neurodegenerative disorders through activation of microglia and astrocytes. Moreover, humoral immunity has an integrative role in PD pathogenesis, which might prevent further progression (9). Subsequently, the inflammatory and immune mediators have been investigated as potential biomarkers (3, 10).

Discovering biomarkers for confirming diagnosis and/or determining progression of these neurodegenerative disorders was the target of several recent trials. A working group of National Institute of Health defined the biomarker as “a characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention” (11). Ideal biomarker should be linked to neurodegeneration mechanisms, specific, reproducible, non-invasive, easy to use, and inexpensive (12).

In neurodegenerative disorders, naturally occurring AIAs are produced by the immune system against released disease-associated proteins or their fragments into circulation from regions of ongoing pathological changes and cell death. Thereafter, AIAs bind to the disease-associated debris in blood and could gain access to the brain to bind to their related antigens (13).

Consequently, several studies explored the levels of α-syn or its AIAs in patients’ cerebrospinal fluid (CSF) (5, 14, 15) and/or plasma (16), with contradictory results (17). Recently, several studies reported association of α-syn and cognitive impairment in PD patients (16). Despite the plasma studies showed more inconsistency, the non-invasive nature, lower costs, and the advances of methodological methods maintained the ongoing exploration of the plasma biomarkers (3, 10).

Exploring biochemical biomarkers is of remarkable importance in chronic neurodegenerative disorders such as PD and AD. They could improve diagnostic accuracy in early stages, distinguish both diseases with overlapping symptoms, develop disease modifying treatments, and explore novel molecular neuropathological processes (5).

Thus, the aim of this study was to investigate the value of the naturally occurring serum autoantibodies of α-syn protein as potential biomarker for diagnosis of PD in comparison to AD and healthy controls.

Materials and Methods

A total of 93 individuals were enrolled in the study between June 2016 and June 2017 after approval through a written formal consent and after receiving the approval of the scientific ethical committee of Faculty of Medicine—Ain Shams University.

The study was composed of three groups, 27 clinically confirmed cases of dementia of Alzheimer’s type, 46 clinically confirmed cases of PD, and 20 healthy controls. All participants were subjected to complete medical history, brain imaging, and basic laboratory investigations to guard against any other possible cause serving their manifestations. PD patients, diagnosed according to the British Parkinson’s Disease Society Brain Bank criteria, were included (18) by a consultant neurologist from Ain Shams University, Movement Disorders Clinic, Cairo, Egypt. Patients with PD were assessed using the Unified Parkinson’s Disease Rating Scale (UPDRS), Hoehn and Yahr scale (H&Y), and Schwab and England scales (S&E) in “medication Off” and “On” states. Exclusion criteria of parkinsonian group included the presence of dementia, atypical or secondary parkinsonism, and familial parkinsonism.

Patients with AD were recruited from outpatients clinic of department of Neurology and institute of psychiatry, Ain Shams University, diagnosis according to the NINCDS-ADRDA and DSM-IV criteria for dementia (19) and assessed using the Arabic version of the Montreal Cognitive Assessment (MoCA) test (20, 21).

Following confirmation of diagnosis, blood samples were withdrawn, centrifuged immediately, sera were obtained from collected blood samples, and stored in −20 freezers prior to their collection in Biobank. All collected sera were stored eventually in −80 freezer of the Medical Experimental Research Center (MERC) of Mansoura University.

Autoantibodies Estimation

IgG anti α-syn antibodies have been tested using commercially available enzyme-linked immunosorbent assay (ELISA) kit purchased from MyBioSource Inc. (San Diego, CA, USA; Cat. No. MBS 2086950). Testing steps have been carried out according to the manufacturer’s provided protocols. The titers were estimated on the base of calibration curve of autoantibody standards and expressed in nanograms per milliliter (ng/ml). The sensitivity in the assay was 0.1 ng/ml.

Data Analysis

The collected data were revised, coded, tabulated, and introduced to a PC using Statistical package for Social Science (SPSS 20). Data were presented and suitable analysis was done according to the type of data obtained for each parameter as descriptive study of the three different groups, followed by comparative, correlation and regression studies.

Analysis was performed to identify the ability of autoantibodies to separate cases (PD and AD) from controls. Moreover, further analysis was made to find a differentiation threshold between different neurodegenerative diseases, e.g., PD from AD (in our case). Analyses included: correlation value for each marker, histograms for levels of each autoantibody in different categories (controls, PD, and AD) and finally distribution level analysis. Correlations were calculated for serum levels of α-syn autoantibodies (AIAs) with clinical data of studied groups using Pearson’s (for parametric data) and Spearman’s (for non-parametric data) coefficients tests.


Group characteristics of study populations are shown in Table 1. The mean age of parkinsonian subgroup was 56.26 ± 12.26 years (range 29–81 years), and of Alzheimer’s subgroup was 70.07 ± 8.31 years (range 54–81 years), while the mean age of the control group was 53.95 ± 10.65 years (range 33–72 years). There was no statistical significant difference between both the control and parkinsonian subgroup (p = 0.431), while there is high statistical significance between the control group and Alzheimer’s subgroups (p < 0.001) and the parkinsonian and Alzheimer’s subgroups (p < 0.001).


Table 1. Demographic and clinical data of the three studied groups.

The mean duration of illness in parkinsonian patients was 5.20 ± 3.36 years and in Alzheimer’s patients was 4.46 ± 2.54 years. The median of H&Y—Off was 3 (1.5–3.5), 75% of patients was in stage 1–3, and the mean of S&E—Off was 54.75 (±25.22) The mean of MOCA test for Alzheimer’s patients was 16.63 ± 5.41 (11–22; Table 1).

α-Syn AIAs, α-syn Autoantibodies

The median of serum α-syn AIAs was highest in patients with PD [4.23 ng/ml (3.3–5.63)], and elevated in Alzheimer’s patients [2.9 ng/ml (1.2–3.3)] less than PD patients, while lowest in controls [0.46 ng/ml (0.07–0.93)]. On comparing these levels of the three studied groups, there was high statistical significant difference (p < 0.001) (Figure 1).


Figure 1. Comparison between the three studied groups regarding the median of serum α-synuclein autoantibodies.

Within PD group, patients elder than 60 years (18 patients) had significantly higher serum α-syn antibodies compared to patients younger than 60 years (p = 0.037). Furthermore, PD cohort was divided to two subgroups according to disease staging, <3 (17 patients) and ≥3 (23 patients). Patients with milder stages had non-significantly higher serum α-syn AIAs (4.94 ± 2.61) compared to more advanced stage (4.29 ± 1.80), while both were significantly higher than controls (p < 0.001). There was no significant difference between PD patients of duration <5 years (25 patients, 4.62 ± 2.08) and ≥5 years (21 patients, 4.84 ± 2.34) (p = 0.739). There were no significant differences between males and females within each subgroup.

In the Parkinson’s subgroup, there was significant correlation between the serum level of α-syn AIAs and age of patients (r = 0.390, p = 0.007) and age of onset (r = 0.383, p = 0.009) (Figure 2), while there were no significant correlations with disease stage or UPDRS cognition and motor sub-scores. There were no significant correlations in the Alzheimer’s subgroup.


Figure 2. Correlation between the level of α-syn autoantibodies and age in the Parkinson’s subgroup.

On further analysis of the serum level of α-syn AIA as a predictor biomarker in Alzheimer’s and PD using Roc curve. In the Alzheimer’s subgroup, the cutoff point of α-syn AIA was >1.2, its AUC was 0.955, its sensitivity reached 74.07, and its specificity was 100.00. In the Parkinson’s subgroup, its cutoff point was >1.2, its AUC was 0.999, its sensitivity reached 97.83, and its specificity was 100.00 (Figure 3).


Figure 3. Roc curve of predicting Parkinson’s and Alzheimer’s groups.


The inconsistency and infrequency of studies that explored anti α-syn AIAs in serum of PD patients warranted further studies of this non-invasive and inexpensive biochemical biomarker (3). The current study investigated the serum anti α-syn AIAs as potential biomarker in patients with PD compared with AD and healthy controls. Remarkably, this study found significantly elevated serum anti α-syn AIAs in PD patients more than AD patients and healthy controls, with high sensitivity and specificity of cut off level >1.2 as predictor biomarker (97.83 and 100%, respectively). Additionally, the serum anti α-syn AIAs was significantly elevated in AD patients compared to healthy controls.

Similar findings were reported by prior studies. Horvath and his colleagues also found that the titers of anti α-syn AIAs in blood samples of 60 recently diagnosed parkinsonian patients was higher compared to age-matched controls, which was correlated also to CSF α-syn AIAs (22). Likewise, other prior studies also demonstrated higher serum α-syn AIAs versus controls (23). However, they reported return of their titer to controls level with longer duration (24).

In contrast to the current study, other studies reported comparable (2527) or lower (8, 28, 29) serum titer of α-syn AIAs compared to controls. Maetzler et al. reported comparable serum α-syn AIAs in 93 PD patients compared to controls; however, their study was of elder age, longer duration, and non-age-matched controls (25). Besong-Agbo et al. reported lower level of serum α-syn Abs in PD patients than patients with AD and controls (8). They attributed their findings to advanced stage of their PD cohort, methodological differences, and low avidity of naturally occurring Abs (8). Recently, Brudek and his colleagues have investigated the apparent affinity of anti-α-syn AIAs in plasma samples from 46 PD patients and 41 controls using ELISA and found that the occurrence of high affinity anti-α-syn AIAs in plasma from PD patients is reduced compared to healthy controls (28).

Variability of findings of previous studies could be attributed to methodological and patients’ characteristics variability (3, 8, 27). Avidity of natural autoantibodies was characterized as methodological causes of variability (8). Patients’ variability included different age’s range, duration, severity, and genetic inheritance (22, 25). Noteworthy, the current study is characterized by younger age and shorter duration compared to other studies.

Several prior studies demonstrated higher serum α-syn AIAs in patients with shorter duration (9, 23, 24). In contrast to these studies and in accordance to another studies (8, 25), this study did not show correlation with disease duration. However, we detected non-significant decline of serum α-syn AIAs with more advanced stages, in accordance to the recent study by Horvath et al. (22). In this study, the serum α-syn AIAs was correlated to age of PD patients. Other studies did not detect association with age (8, 22, 25). Furthermore, we could not detect correlation between and disease stage (H&Y scores), similar to other studies (8, 25, 27).

Recently, despite using different approaches, El-Agnaf group revealed significant elevation of α-syn in PD patients’ CSF (27) with parallel decline in their plasma level (28). The elevated levels of protein in CSF with their decline in plasma—in accordance to our findings—suggest a possible role for AIAs in clearance of α-syn from sera of PD patients compared to controls.

On the other hand, this study detected elevated α-syn AIAs in serum of patients with AD, compared to controls, in concur with previous studies (7, 9, 30). However, it was lower than PD cases. Moreover, recently, serum α-syn was higher in PD, and correlated with cognitive decline, rather than motor severity (16). Although previous reports suggested possible interaction between tau, B-amyloid, and α-syn levels (30, 31), further studies are needed to confirm a possible contribution of α-syn in AD. The present findings support our previous studies on identification of AIAs against different cytoskeletal proteins in brain insult (32, 33).


The present study showed that serum level of AIAs against α-syn could help as biomarker for PD as they could identify PD patients compared to healthy controls and patients with other neurodegenerative disease (AD). Moreover, our work showed that α-syn AIAs level were higher in AD patients compared to healthy controls, which suggest possible role for α-syn in AD that need to be studied in future research. Further studies are warranted to reproduce these findings, investigating larger number of patients, differentiating types of PD, distinguishing younger onset and classic types, and examining different disease severity and durations.

Ethics Statement

The study was conducted after approval through a written formal consent and after receiving the approval of the scientific ethical committee of Faculty of Medicine—Ain Shams University and IRB of Faculty of Medicine, Mansoura University.

Author Contributions

AS: concept, study design, data generation, data analysis, and writing manuscript. MS: hypothesis, concept, study design, data generation, data analysis, and writing manuscript. MM: data generation. TR: data analysis and critical review. HE: data generation, data analysis, and drafting manuscript. WM: study design and data analysis. ME-B: data generation, data analysis, and critical review. MA-D: hypothesis, concept, study design, and critical review.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.


The present study was supported by a grant from the Egyptian Academy of Scientific Research and Technology (ASRT) through JESOR-Development Program (MS, AS, and MA-D).

Supplementary Material

The Supplementary Material for this article can be found online at https://www.frontiersin.org/articles/10.3389/fneur.2017.00720/full#supplementary-material.


1. Kalia LV, Lang AE. Parkinson’s disease. Lancet (2015) 386(9996):896–912. doi:10.1016/S0140-6736(14)61393-3

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Scheltens P, Blennow K, Breteler MM, de Strooper B, Frisoni GB, Salloway S, et al. Alzheimer’s disease. Lancet (2016) 388(10043):505–17. doi:10.1016/S0140-6736(15)01124-1

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Malek N, Swallow D, Grosset KA, Anichtchik O, Spillantini M, Grosset DG. Alpha-synuclein in peripheral tissues and body fluids as a biomarker for Parkinson’s disease – a systematic review. Acta Neurol Scand (2014) 130(2):59–72. doi:10.1111/ane.12247

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Rocha EM, De Miranda B, Sanders LH. Alpha-synuclein: pathology, mitochondrial dysfunction and neuroinflammation in Parkinson’s disease. Neurobiol Dis (2017) pii: S0969-9961(17):30080–3. doi:10.1016/j.nbd.2017.04.004

CrossRef Full Text | Google Scholar

5. Blennow K, Biscetti L, Eusebi P, Parnetti L. Cerebrospinal fluid biomarkers in Alzheimer’s and Parkinson’s diseases—from pathophysiology to clinical practice. Mov Disord (2016) 31(6):836–47. doi:10.1002/mds.26656

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Moussaud S, Jones DR, Moussaud-Lamodiere EL, Delenclos M, Ross OA, McLean PJ. Alpha-synuclein and tau: teammates in neurodegeneration? Mol Neurodegener (2014) 9:43. doi:10.1186/1750-1326-9-43

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Koehler NK, Stransky E, Shing M, Gaertner S, Meyer M, Schreitmüller B, et al. Altered serum IgG levels to alpha-synuclein in dementia with Lewy bodies and Alzheimer’s disease. PLoS One (2013) 8(5):e64649. doi:10.1371/journal.pone.0064649

CrossRef Full Text | Google Scholar

8. Besong-Agbo D, Wolf E, Jessen F, Oechsner M, Hametner E, Poewe W, et al. Naturally occurring alpha-synuclein autoantibody levels are lower in patients with Parkinson disease. Neurology (2013) 80(2):169–75. doi:10.1212/WNL.0b013e31827b90d1

CrossRef Full Text | Google Scholar

9. Gruden MA, Yanamandra K, Kucheryanu VG, Bocharova OR, Sherstnev VV, Morozova-Roche LA, et al. Correlation between protective immunity to alpha-synuclein aggregates, oxidative stress and inflammation. Neuroimmunomodulation (2012) 19(6):334–42. doi:10.1159/000341400

CrossRef Full Text | Google Scholar

10. Clark LF, Kodadek T. The immune system and neuroinflammation as potential sources of blood-based biomarkers for Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease. ACS Chem Neurosci (2016) 7(5):520–7. doi:10.1021/acschemneuro.6b00042

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Biomarkers Definitions Working Group. Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Ther (2001) 69(3):89–95. doi:10.1067/mcp.2001.113989

CrossRef Full Text | Google Scholar

12. Shaw LM, Korecka M, Clark CM, Lee VM, Trojanowski JQ. Biomarkers of neurodegeneration for diagnosis and monitoring therapeutics. Nat Rev Drug Discov (2007) 6(4):295–303. doi:10.1038/nrd2176

PubMed Abstract | CrossRef Full Text | Google Scholar

13. DeMarshall C, Sarkar A, Nagele EP, Goldwaser E, Godsey G, Acharya NK, et al. Utility of autoantibodies as biomarkers for diagnosis and staging of neurodegenerative diseases. Int Rev Neurobiol (2015) 122:1–51. doi:10.1016/bs.irn.2015.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Hall S, Surova Y, Ohrfelt A, Blennow K, Zetterberg H, Hansson O. Longitudinal measurements of cerebrospinal fluid biomarkers in Parkinson’s disease. Mov Disord (2016) 31(6):898–905. doi:10.1002/mds.26578

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Mollenhauer B, Locascio JJ, Schulz-Schaeffer W, Sixel-Doring F, Trenkwalder C, Schlossmacher MG. α-Synuclein and tau concentrations in cerebrospinal fluid of patients presenting with parkinsonism: a cohort study. Lancet Neurol (2011) 10(3):230–40. doi:10.1016/S1474-4422(11)70014-X

CrossRef Full Text | Google Scholar

16. Lin CH, Yang SY, Horng HE, Yang CC, Chieh JJ, Chen HH, et al. Plasma alpha-synuclein predicts cognitive decline in Parkinson’s disease. J Neurol Neurosurg Psychiatry (2017) 88(10):818–24. doi:10.1136/jnnp-2016-314857

CrossRef Full Text | Google Scholar

17. Parnetti L, Eusebi P, Lleo A. Cerebrospinal fluid biomarkers for target engagement and efficacy in clinical trials for Alzheimer’s and Parkinson’s diseases. Front Neurol Neurosci (2016) 39:117–23. doi:10.1159/000445452

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Hughes AJ, Daniel SE, Kilford L, Lees AJ. Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry (1992) 55(3):181–4. doi:10.1136/jnnp.55.3.181

PubMed Abstract | CrossRef Full Text | Google Scholar

19. McKhann GM, Knopman DS, Chertkow H, Hyman BT, Jack CR Jr, Kawas CH, et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement (2011) 7(3):263–9. doi:10.1016/j.jalz.2011.03.005

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, et al. The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. J Am Geriatr Soc (2005) 53(4):695–9. doi:10.1111/j.1532-5415.2005.53221.x

CrossRef Full Text | Google Scholar

21. Rahman TT, El Gaafary MM. Montreal Cognitive Assessment Arabic version: reliability and validity prevalence of mild cognitive impairment among elderly attending geriatric clubs in Cairo. Geriatr Gerontol Int (2009) 9(1):54–61. doi:10.1111/j.1447-0594.2008.00509.x

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Horvath I, Iashchishyn IA, Forsgren L, Morozova-Roche LA. Immunochemical detection of alpha-synuclein autoantibodies in Parkinson’s disease: correlation between plasma and cerebrospinal fluid levels. ACS Chem Neurosci (2017) 8(6):1170–6. doi:10.1021/acschemneuro.7b00063

CrossRef Full Text | Google Scholar

23. Yanamandra K, Gruden MA, Casaite V, Meskys R, Forsgren L, Morozova-Roche LA. Alpha-synuclein reactive antibodies as diagnostic biomarkers in blood sera of Parkinson’s disease patients. PLoS One (2011) 6(4):e18513. doi:10.1371/journal.pone.0018513

CrossRef Full Text | Google Scholar

24. Gruden MA, Sewell RD, Yanamandra K, Davidova TV, Kucheryanu VG, Bocharov EV, et al. Immunoprotection against toxic biomarkers is retained during Parkinson’s disease progression. J Neuroimmunol (2011) 233(1–2):221–7. doi:10.1016/j.jneuroim.2010.12.001

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Maetzler W, Apel A, Langkamp M, Deuschle C, Dilger SS, Stirnkorb JG, et al. Comparable autoantibody serum levels against amyloid- and inflammation-associated proteins in Parkinson’s disease patients and controls. PLoS One (2014) 9(2):e88604. doi:10.1371/journal.pone.0088604

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Papachroni KK, Ninkina N, Papapanagiotou A, Hadjigeorgiou GM, Xiromerisiou G, Papadimitriou A, et al. Autoantibodies to alpha-synuclein in inherited Parkinson’s disease. J Neurochem (2007) 101(3):749–56. doi:10.1111/j.1471-4159.2006.04365.x

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Heinzel S, Gold M, Deuschle C, Bernhard F, Maetzler W, Berg D, et al. Naturally occurring alpha-synuclein autoantibodies in Parkinson’s disease: sources of (error) variance in biomarker assays. PLoS One (2014) 9(12):e114566. doi:10.1371/journal.pone.0114566

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Brudek T, Winge K, Folke J, Christensen S, Fog K, Pakkenberg B, et al. Autoimmune antibody decline in Parkinson’s disease and multiple system atrophy; a step towards immunotherapeutic strategies. Mol Neurodegener (2017) 12(1):44. doi:10.1186/s13024-017-0187-7

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Ishii R, Tokuda T, Tatebe H, Ohmichi T, Kasai T, Nakagawa M, et al. Decrease in plasma levels of alpha-synuclein is evident in patients with Parkinson’s disease after elimination of heterophilic antibody interference. PLoS One (2015) 10(4):e0123162. doi:10.1371/journal.pone.0123162

CrossRef Full Text | Google Scholar

30. Maetzler W, Berg D, Synofzik M, Brockmann K, Godau J, Melms A, et al. Autoantibodies against amyloid and glial-derived antigens are increased in serum and cerebrospinal fluid of Lewy body-associated dementias. J Alzheimers Dis (2011) 26(1):171–9. doi:10.3233/JAD-2011-110221

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Stav AL, Aarsland D, Johansen KK, Hessen E, Auning E, Fladby T. Amyloid-beta and alpha-synuclein cerebrospinal fluid biomarkers and cognition in early Parkinson’s disease. Parkinsonism Relat Disord (2015) 21(7):758–64. doi:10.1016/j.parkreldis.2015.04.027

CrossRef Full Text | Google Scholar

32. El Rahman HAA, Salama M, Gad El-Hak SA, El-Harouny MA, ElKafrawy P, Abou-Donia MB. A panel of autoantibodies against neural proteins as peripheral biomarker for pesticides-induced neurotoxicity. Neurotox Res (2017). doi:10.1007/s12640-017-9793-y

CrossRef Full Text | Google Scholar

33. Abou-Donia MB, Conboy LA, Kokkotou E, Jacobson E, Elmasry EM, Elkafrawy P, et al. Screening for novel central nervous system biomarkers in veterans with Gulf War Illness. Neurotoxicol Teratol (2017) 61:36–46. doi:10.1016/j.ntt.2017.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: autoantibodies, biomarkers, α synuclein, Parkinson’s disease, Alzheimer’s disease

Citation: Shalash A, Salama M, Makar M, Roushdy T, Elrassas HH, Mohamed W, El-Balkimy M and Abou Donia M (2017) Elevated Serum α-Synuclein Autoantibodies in Patients with Parkinson’s Disease Relative to Alzheimer’s Disease and Controls. Front. Neurol. 8:720. doi: 10.3389/fneur.2017.00720

Received: 14 October 2017; Accepted: 13 December 2017;
Published: 22 December 2017

Edited by:

Stefania Mondello, University of Messina, Italy

Reviewed by:

Marco Fidel Avila-Rodriguez, Universidad del Tolima, Colombia
Francisco Capani, University of Buenos Aires, Argentina

Copyright: © 2017 Shalash, Salama, Makar, Roushdy, Elrassas, Mohamed, El-Balkimy and Abou Donia. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Ali Shalash, ali_neuro@yahoo.com;
Mohamed Salama, toxicsalama@hotmail.com

These authors have contributed equally to this work.