Next Article in Journal
Accuracy of Guided Implant Surgery in the Edentulous Jaw Using Desktop 3D-Printed Mucosal Supported Guides
Next Article in Special Issue
A Novel Nutraceutical Formulation Can Improve Motor Activity and Decrease the Stress Level in a Murine Model of Middle-Age Animals
Previous Article in Journal
The Role of Hepatic Fat Accumulation in Glucose and Insulin Homeostasis—Dysregulation by the Liver
Previous Article in Special Issue
The Current State of Knowledge on the Clinical and Methodological Aspects of Extracorporeal Shock Waves Therapy in the Management of Post-Stroke Spasticity—Overview of 20 Years of Experiences
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JCM
Volume 10
Issue 3
10.3390/jcm10030381
jcm-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

ADORA2A rs5760423 and CYP1A2 rs762551 Polymorphisms as Risk Factors for Parkinson’s Disease

by
Vasileios Siokas
1,†,
Athina-Maria Aloizou
1,†,
Zisis Tsouris
1,
Ioannis Liampas
1,
Panagiotis Liakos
2,
Daniela Calina
3,
Anca Oana Docea
4,
Aristidis Tsatsakis
5,
Dimitrios P. Bogdanos
6,
Georgios M. Hadjigeorgiou
1,7 and
Efthimios Dardiotis
1,*
1
Laboratory of Neurogenetics, Department of Neurology, University Hospital of Larissa, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
2
Laboratory of Biochemistry, Faculty of Medicine, University of Thessaly, 41110 Larissa, Greece
3
Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
4
Department of Toxicology, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
5
Laboratory of Toxicology, School of Medicine, University of Crete, 71003 Heraklion, Greece
6
Department of Rheumatology and Clinical Immunology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
7
Department of Neurology, Medical School, University of Cyprus, 1678 Nicosia, Cyprus
*
Author to whom correspondence should be addressed.
†
Equal contribution.
J. Clin. Med. 2021, 10(3), 381; https://doi.org/10.3390/jcm10030381
Submission received: 20 December 2020 / Revised: 17 January 2021 / Accepted: 18 January 2021 / Published: 20 January 2021
(This article belongs to the Special Issue Therapies in Age-Related Neurodegenerative Diseases and Stroke)
Versions Notes

Abstract

:
Background: Parkinson’s disease (PD) is the second commonest neurodegenerative disease. The genetic basis of PD is indisputable. Both ADORA2A rs5760423 and CYP1A2 rs762551 have been linked to PD, to some extent, but the exact role of those polymorphisms in PD remains controversial. Objective: We assessed the role of ADORA2A rs5760423 and CYP1A2 rs762551 on PD risk. Methods: We genotyped 358 patients with PD and 358 healthy controls for ADORA2A rs5760423 and CYP1A2 rs762551. We also merged and meta-analyzed our data with data from previous studies, regarding these two polymorphisms and PD. Results: No significant association with PD was revealed (p > 0.05), for either ADORA2A rs5760423 or CYP1A2 rs762551, in any of the examined genetic model of inheritance. In addition, results from meta-analyses yield negative results. Conclusions: Based on our analyses, it appears rather unlikely that ADORA2A rs5760423 or CYP1A2 rs762551 is among the major risk factors for PD, at least in Greek patients with PD.

1. Introduction

Parkinson’s disease (PD) is a complex neurodegenerative disorder and is characterized by premature prominent loss of dopaminergic neurons in the substantia nigra pars compacta (SNpc), resulting to dopamine deficiency [1,2]. Another hallmark of the disease (from a neuropathological aspect) is the so-called “Lewy pathology”, where the aggregated misfolded α-synuclein forms inclusions within the main neuronal body, the Lewy bodies, and the processes of neurons, the Lewy neurites [3,4]. PD is the second commonest neurodegenerative disorder following Alzheimer’s disease (AD), and in fact the proportion of patients with PD is estimated to increase by at least 50% within the next 10 years [5]. PD is 1.5-fold more frequent among males than females, while its reported prevalence varies between ethnicities from 10 to 1500 cases per 100,000 human individuals [1]; its incidence ranges from 5 to >35 new PD cases per 100,000 people [6].
The symptomatology of PD includes both motor and non-motor clinical manifestations. Thus, the dopamine deficits in the basal ganglia give way to motor symptoms that can be traditionally divided into cardinal (bradykinesia, loss of postural reflexes, rest tremor and rigidity) and secondary ones (dysarthria, hypomimia, shuffling gait, freezing, etc.) [7]. Additionally, non-motor symptoms (e.g., sleep disorders, hallucinations, and cognitive impairment to name a few) can also manifest during disease progression [8]. The course of PD is outlined by worsening of the clinical (motor and non-motor) features, while treatment-related complications can also appear in the advanced stages of the disease [9].
The pathophysiological mechanisms leading to PD remain incompletely understood [10]. Various possible neuropathophysiological procedures involved in PD have been described, such as oxidative stress, mitochondrial dysfunction and neuroinflammation [11]. Their additive action ultimately results to dopaminergic neuron death in the SNpc [12]. Few risk factors (genetic and non-genetic/environmental) have been reported to either increase or decrease PD susceptibility [13]. Regarding the environmental factors, pesticide exposure, agricultural occupation, coffee consumption, tobacco smoking, infections and prior head injury are among those known to modify PD risk [13,14,15]. There is accumulating evidence that gene–environment interactions and epigenetics can trigger the initiation of molecular processes ultimately leading to PD development, and thus further modify the risk for PD [16,17,18].
The genetic architecture of PD is indisputable. Polymeropoulos et al. (1997) performed the first linkage study where an unambiguous familial segregation of the missense mutation A53T across the α-synuclein (SNCA) gene was identified, following an autosomal-dominant inheritance pattern in PD patients with adult-onset [19]. Since then, at least 23 genetic loci and 19 causative genes have been reported in the context of PD, although accompanied by great phenotypic heterogeneity (clinical manifestations, mode of inheritance, disease progression, and age at disease onset) [20]. The genetic component of PD is also evident from genetic risk factors, derived from candidate gene association studies and genome-wide association studies (GWASs), with SNCA, glucosylceramidase beta (GBA), microtubule-associated protein tau gene (MAPT) and leucine-rich repeat kinase 2 (LRRK2) genes considered as the commonest ones [21,22,23].
Adenosine Receptor Subtype A2a (ADORA2A) is a G-protein coupled adenosine receptor encoded by the ADORA2A gene. It is mainly involved in pathophysiological processes including neuroinflammation, synaptic plasticity in glutamatergic synapses and neurogenesis [24,25]. ADORA2A is expressed in the striatum, and it has been found to negatively influence the activity of dopamine D2 receptors (DRD2) [26]. Previous studies have suggested that ADORA2A gene polymorphisms may influence physiological responses to caffeine consumption [27,28]. Despite its apparent functional effects, very few studies have provided information regarding the mechanisms by which it exerts its effects. Moreover, in the 1-methyl-4-phenyl 1,2,3,6-tetrahydropyridine (MPTP) neurotoxin model of PD, neuroprotection resulted from the blockage of ADORA2A by caffeine [29], hinting towards a possible relation between ADORA2A and PD. Cytochrome P450 1A2 (CYP1A2), apart from other drugs, is also the main metabolizer of caffeine. It metabolizes over 90% of caffeine in paraxanthine and is located in most human brain regions [30,31,32]. The rs762551 polymorphism appears to influence CYP1A2 function, as individuals who carry the rs762551 seem to experience decreased CYP1A2 activity [33]. Both ADORA2A rs5760423 and CYP1A2rs762551 have been related, to some extent, to PD risk [34,35].
In view of the former considerations, namely certain genetic factors strongly predispose to PD, ADORA2A rs5760423 and CYP1A2 rs762551 polymorphisms may influence the risk of PD and previous studies examining the effect of these polymorphisms to PD have produced inconsistent results, the objective of the current study was to examine the possible crude association of ADORA2A rs5760423 and CYP1A2 rs762551 variants with PD, by performing a case–control study and a cumulative meta-analysis by merging our data with relevant data from previous studies.

2. Materials and Methods

2.1. Participants

Three hundred fifty-eight individuals with PD (48% male, mean age ± standard deviation (SD) = 68.07 ± 9.55 years and mean age at onset ± SD = 63.01 ± 10.12 years) and 358 healthy controls (matched for age and sex) were gathered from the Neurology Department, University Hospital of Larissa, Greece (Table 1).
The diagnosis of PD cases was carried out by consultant neurologists, based on the UK Parkinson’s Disease Society Brain Bank’s clinical criteria [8]. The main features of patients’ cohort and healthy controls have been described previously [36]. All participants provided written informed consent, while the study protocol obtained the approval of the local ethics committee.

2.2. Molecular Genetics

Genomic DNA was isolated from peripheral blood leucocytes by applying the salting out method [37,38,39,40]. All individuals (patients with PD and controls as well) were genotyped for ADORA2A rs5760423 and CYP1A2 rs762551 using the TaqMan allele specific discrimination assays on an ABI PRISM 7900 Sequence Detection System. The results were analyzed with SDS software (Applied Biosystems, Foster City, CA, USA). The genotype call rate was >98.04%.

2.3. Statistical Analysis

The calculation of the power of the sample was carried out with the CaTS Power Calculator [41]. The Hardy–Weinberg equilibrium (HWE) and test for association (odds ratios (ORs) with the respective 95% confidence intervals (CIs)) were carried out with SNPStats software [42], using 0.05 as the threshold for statistical significance.
To increase the power of the analysis, a cumulative meta-analysis (by merging our data with relevant data from previous studies) was performed [34,35,43,44,45] (baseline characteristics of the previous studies included in our analyses can be found in Supplementary File S1). We included studies where raw genotypic data were available or where these data could be calculated. RevMan 5.3 statistical software was utilized for the statistical analyses performed. The Z test was used to calculate the OR and the 95% CI for the effect of the ADORA2A rs5760423 and CYP1A2 rs762551 polymorphisms on PD. The statistical heterogeneity was computed with the Q-statistic [46] (homogeneity rejected if PQ < 0.1 and/or I2 > 75%) [47,48]. We calculated both Mantel–Haenszel (MH) (fixed effect (FE)) and random effects (RE) [49,50,51]. The effect was tested for the effect of the heterozygosity and for the dominant and the recessive models as well.

3. Results

Three hundred fifty-eight individuals with PD (48% male, mean age ± standard deviation (SD) = 68.07 ± 9.55 years and mean age at onset ± SD = 63.01 ± 10.12 years) and 358 controls (matched for age and sex), were genotyped for the ADORA2A rs5760423 and CYP1A2 rs762551 polymorphisms. The power of our sample, with a minor allele frequency of 34% in the PD cohort, was 80.9%, with a genetic risk equal to 1.58 for the dominant mode.
The genotypic call rate was equal to 98.04% and 99.01%, for ADORA2A rs5760423 and CYP1A2rs762551, respectively. No deviation from the HWE was found (p > 0.05) in either cases or controls, for both polymorphisms. The genotypic and allelic frequencies of the genotype polymorphisms are presented in Table 2.
No significant association was found (p > 0.05) for any of the examined polymorphisms. For ADORA2A rs5760423, the OR ranged from 0.77 to 1.19 in the over-dominant and recessive model of inheritance, respectively. The OR ranged from 0.76 (over-dominant) to 1.05 (recessive) for CYP1A2 rs762551. The results of the statistical analyses (ORs, CIs, and p-values) of both ADORA2A rs5760423 and CYP1A2 rs762551 regarding the risk of PD can be found in Table 3.
The cumulative statistical analysis revealed no significant results (in any assumed genetic model for both MH (FE) and RE models) for possible association between PD and ADORA2A rs5760423 (1898 PD cases and 1950 controls; OR ranging 0.91–1.05; pz > 0.15) and/or CYP1A2 rs762551 (4205 PD cases and 6562 controls; OR ranging 1.00–1.08; pz > 0.28). The Forest plots of the analyses for ADORA2A rs5760423 can be accessed in Supplementary File S2, while the respective one for CYP1A2 rs762551 in Supplementary File S3.

4. Discussion

The primary aim of the current study was to assess the possible implications of the ADORA2A rs5760423 and CYP1A2 rs762551 polymorphisms to PD risk. We initially performed a case–control study and then a meta-analysis, by gathering available published data regarding the ADORA2A rs5760423 and CYP1A2 rs762551 polymorphisms to the risk of PD. Based on our analyses, it seems rather unlikely that these genetic variants confer susceptibility to PD.
The ties of caffeine to PD have long been explored. An increased coffee intake has been shown to exert a protective effect, especially on genetically susceptible individuals, while caffeine compounds may even be considered as add-ons to traditional PD treatment, via its interaction with levodopa and its effect on dyskinesia and gait abnormalities [52]. Interestingly, nicotine and smoking, a habit most commonly shown to aggravate several diseases, including neurodegenerative ones, has also been described as neuroprotective in regards to PD [53]. In addition, the protective effect of caffeine seems to be dependent on sex, since caffeine and estrogen antagonize towards CYP1A2, caffeine’s main metabolizer and a known estrogen metabolizing enzyme; thus, this protective effect may not be as profound in females as in males [54]. All these facts denote a strong role of gene–environment interactions in the pathogenesis of PD, and the interest towards caffeine has been growing, particularly since it may hold therapeutical significance [52]. However, since there are gene polymorphisms that influence its metabolism and activity in the central nervous system, their association with PD definitely merits more research, which was the primary aim of this study.
In 2007, Tan et al. conducted a study exploring the role CYP1A2 rs762551 in PD, based on the following observations; (a) caffeine (and its main metabolite paraxanthine) appears to have a neuroprotective effect, and thus may protect against PD; and (b) rs762551 may affect the inducibility of CYP1A2, and thus influence the caffeine metabolism and its neuroprotective effect [33,44,55]. However, no proof of a connection emerged through multivariate analysis for interaction effects of caffeine with CYP1A2 and PD risk [44]. Henceforth, a number of studies attempted to investigate the role of rs762551 in PD. CYP1A2 rs762551 was not associated with PD susceptibility, even after the inclusion of coffee consumption in the models [56]. Increased PD risk was reported with each increasing minor allele of CYP1A2 rs762551, while no interaction of the rs762551 polymorphism and caffeine intake in determining PD risk was found in the study of Kim et al. (2008) [45]. However, subsequent studies yielded different results. In particular, in 2010, Palacios et al. reported a marginal association between CYP1A2 rs762551 C allele and PD risk [34]. Moreover, Popat et al. (2011) reported a coffee–PD association mainly among slow metabolizer homozygotes for the C allele of rs762551 [43], results that were not replicated in the study by Hill-Burns et al. (2011) [57]. More recently, Chuang et al. (2016) reported marginal associations of ADORA2A rs5760423 and CYP1A2 rs762551 with PD, while ADORA2A rs5760423 was found to significantly interact with coffee consumption in incident PD [35]. In view of the former considerations, a consensus regarding the role of ADORA2A rs5760423 and CYP1A2 rs762551 in PD (in correlation or not to caffeine intake) was not reached.
The ADORA2A gene (located at Chromosome 22 (24,417,879–24,442,357)) encodes ADORA2A, a G-protein coupled adenosine receptor, which is reported to be involved in neurogenesis, neuroinflammation and synaptic plasticity in glutamatergic synapses [24,25]. It is hypothesized that ADORA2A is implicated in PD pathogenesis as it negatively influences the activity of DRD2 receptors in the striatum [26] and appears to play a role in the MPTP neurotoxin model of PD (Chen et al. 2001). Apart from the rs5760423, other ADORA2A variants have been examined for possible association with PD phenotypes. More precisely, no associations between the rs13306115 and PD severity [55], between rs3032740 and PD risk [43,56] and between rs5751876 with either PD severity or PD risk [43,58] have been reported. However, a trend for association for ADORA2A rs2298383 and rs3761422 and dyskinesia in PD patients has been found [59]. Additionally, rs71651683 (a 5′ variant) and rs5996696 (in the promoter region), across the ADORA2A gene, have been associated with decreased PD risk [43].
The CYP1A2 gene (Chromosome 15 (74,748,845–74,756,607)) encodes the CYP1A2 enzyme. CYP1A2 is expressed in most human brain tissue and is the main metabolizer of caffeine (metabolizing over 90% of caffeine in paraxanthine) alongside a plethora of other drugs [30,31,32,60,61]. Apart from rs762551, other CYP1A2 variants have been examined for an association with PD phenotypes. More precisely, rs35694136, rs2470890, rs2472304, rs138652540, rs3579837, rs45486893 and rs7254751 were not associated with PD [35,43,56,57,58]. However, the coffee–PD association was more robust among homozygotes for rs2470890 [43].
Our study has some strengths worth mentioning. Firstly, the PD sample is characterized by high homogeneity, as it was collected from the same geographical area and does not include ethnically or racially distinct populations. Furthermore, we increased the power of the analysis by meta-analyzing our data with those from previous relevant studies. The main limitation is the inclusion of PD patients without screening for common PD-causative genes and sporadic PD causative factors (e.g., SNCA, GBA, MAPT and LRRK2 genes), which might mask the effect of ADORA2A rs5760423 and CYP1A2 rs762551. Moreover, the addition of potential confounding factors (especially caffeine intake) in the statistical models would have granted more robustness to our findings. Finally, the possibility that some eligible studies failed to be retrieved through our manual search is not likely, but it cannot be completely ruled out.

5. Conclusions

Whether ADORA2A rs5760423 and CYP1A2 rs762551 can be considered as genetic risk factors for PD remains debatable, although our data suggest otherwise. Larger multiethnic samples should be conducted, investigating the carriage of ADORA2A rs5760423 and CYP1A2 rs762551 and PD risk also including multiple genetic and environmental cofounders.

Supplementary Materials

The following are available online at https://www.mdpi.com/2077-0383/10/3/381/s1, File S1: Baseline characteristics of the studies included in the meta-analysis, File S2: Forest Plots presenting the results from overall meta-analysis for theADORA2A rs5760423 and PD, File S3: Forest Plots presenting the results from overall meta-analysis for the CYP1A2 rs762551 and PD.

Author Contributions

Conceptualization, V.S., G.M.H. and E.D.; methodology, V.S., A.-M.A., Z.T. and I.L.; software, V.S., A.-M.A., Z.T. and I.L.; validation, V.S., A.-M.A., Z.T. and I.L.; formal analysis, V.S.; investigation, V.S., A.-M.A., Z.T. and I.L.; data curation, V.S., A.-M.A., Z.T. and I.L.; writing—original draft preparation, V.S.; writing—review and editing, V.S., A.-M.A., Z.T., I.L., P.L., D.C., A.O.D., A.T., D.P.B., G.M.H. and E.D.; supervision, E.D.; project administration, E.D.; and funding acquisition, E.D. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported in part by a research grant from the Research Committee of the University of Thessaly, Greece (code: 5287).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of The University Hospital of Larissa, Thessaly, Greece.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Kalia, L.V.; Lang, A.E. Parkinson’s disease. Lancet 2015, 386, 896–912. [Google Scholar] [CrossRef]
  2. Dickson, D.W.; Braak, H.; Duda, J.E.; Duyckaerts, C.; Gasser, T.; Halliday, G.M.; Hardy, J.; Leverenz, J.B.; Del Tredici, K.; Wszolek, Z.K.; et al. Neuropathological assessment of Parkinson’s disease: Refining the diagnostic criteria. Lancet Neurol. 2009, 8, 1150–1157. [Google Scholar] [CrossRef]
  3. Braak, H.; Del Tredici, K.; Rüb, U.; de Vos, R.A.; Steur, E.N.J.; Braak, E. Staging of brain pathology related to sporadic Parkinson’s disease. Neurobiol. Aging 2003, 24, 197–211. [Google Scholar] [CrossRef]
  4. Goedert, M.; Spillantini, M.G.; Del Tredici, K.; Braak, H. 100 years of Lewy pathology. Nat. Rev. Neurol. 2013, 9, 13–24. [Google Scholar] [CrossRef] [PubMed]
  5. Dorsey, E.R.; Constantinescu, R.; Thompson, J.P.; Biglan, K.M.; Holloway, R.G.; Kieburtz, K.; Marshall, F.J.; Ravina, B.M.; Schifitto, G.; Siderowf, A.; et al. Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology 2007, 68, 384–386. [Google Scholar] [CrossRef]
  6. Twelves, D.; Perkins, K.S.; Counsell, C. Systematic review of incidence studies of Parkinson’s disease. Mov. Disord. 2003, 18, 19–31. [Google Scholar] [CrossRef]
  7. Sveinbjornsdottir, S. The clinical symptoms of Parkinson’s disease. J. Neurochem. 2016, 139, 318–324. [Google Scholar] [CrossRef] [Green Version]
  8. Jankovic, J. Parkinson’s disease: Clinical features and diagnosis. J. Neurol. Neurosurg. Psychiatry 2008, 79, 368–376. [Google Scholar] [CrossRef] [Green Version]
  9. Hely, M.A.; Morris, J.G.; Reid, W.G.; Trafficante, R. Sydney Multicenter Study of Parkinson’s disease: Non-L-dopa-responsive problems dominate at 15 years. Mov. Disord. 2005, 20, 190–199. [Google Scholar] [CrossRef]
  10. van den Bos, M.A.J.; Geevasinga, N.; Higashihara, M.; Menon, P.; Vucic, S. Pathophysiology and Diagnosis of ALS: Insights from Advances in Neurophysiological Techniques. Int. J. Mol. Sci. 2019, 20, 2818. [Google Scholar] [CrossRef] [Green Version]
  11. Poewe, W.; Seppi, K.; Tanner, C.M.; Halliday, G.M.; Brundin, P.; Volkmann, J.; Schrag, A.-E.; Lang, A.E. Parkinson disease. Nat. Rev. Dis. Primers 2017, 3, 17013. [Google Scholar] [CrossRef] [PubMed]
  12. Liu, C.; Liu, Z.; Zhang, Z.; Li, Y.; Fang, R.; Li, F.; Zhang, J. A Scientometric Analysis and Visualization of Research on Parkinson’s Disease Associated With Pesticide Exposure. Front. Public Health 2020, 8, 91. [Google Scholar] [CrossRef] [PubMed]
  13. Noyce, A.J.; Bestwick, J.P.; Silveira-Moriyama, L.; Hawkes, C.H.; Giovannoni, G.; Lees, A.J.; Schrag, A. Meta-analysis of early nonmotor features and risk factors for Parkinson disease. Ann. Neurol. 2012, 72, 893–901. [Google Scholar] [CrossRef] [PubMed]
  14. Dardiotis, E.; Aloizou, A.M.; Sakalakis, E.; Siokas, V.; Koureas, M.; Xiromerisiou, G.; Petinaki, E.; Wilks, M.; Tsatsakis, A.; Hadjichristodoulou, C.; et al. Organochlorine pesticide levels in Greek patients with Parkinson’s disease. Toxicol. Rep. 2020, 7, 596–601. [Google Scholar] [CrossRef]
  15. Dardiotis, E.; Tsouris, Z.; Mentis, A.A.; Siokas, V.; Michalopoulou, A.; Sokratous, M.; Dastamani, M.; Bogdanos, D.P.; Deretzi, G.; Kountouras, J.H. pylori and Parkinson’s disease: Meta-analyses including clinical severity. Clin. Neurol. Neurosurg. 2018, 175, 16–24. [Google Scholar] [CrossRef]
  16. Aloizou, A.; Siokas, V.; Sapouni, E.-M.; Sita, N.; Liampas, I.; Brotis, A.; Rakitskii, V.; Burykina, T.; Aschner, M.; Bogdanos, D.; et al. Parkinson’s disease and pesticides: Are microRNAs the missing link? Sci. Total Environ. 2020, 744, 140591. [Google Scholar] [CrossRef]
  17. Dardiotis, E.; Xiromerisiou, G.; Hadjichristodoulou, C.; Tsatsakis, A.M.; Wilks, M.F.; Hadjigeorgiou, G.M. The interplay between environmental and genetic factors in Parkinson’s disease susceptibility: The evidence for pesticides. Toxicology 2013, 307, 17–23. [Google Scholar] [CrossRef]
  18. Docea, A.O.; Vassilopoulou, L.; Fragou, D.; Arsene, A.L.; Fenga, C.; Kovatsi, L.; Petrakis, D.; Rakitskii, V.N.; Nosyrev, A.E.; Izotov, B.N.; et al. CYP polymorphisms and pathological conditions related to chronic exposure to organochlorine pesticides. Toxicol. Rep. 2017, 4, 335–341. [Google Scholar] [CrossRef]
  19. Polymeropoulos, M.H.; Lavedan, C.; Leroy, E.; Ide, S.E.; Dehejia, A.; Dutra, A.; Pike, B.; Root, H.; Rubenstein, J.; Boyer, R.; et al. Mutation in the α-synuclein gene identified in families with Parkinson’s disease. Science 1997, 276, 2045–2047. [Google Scholar] [CrossRef] [Green Version]
  20. Kuhlenbäumer, G.; Berg, D. Parkinson disease genetics: Too early to predict progression? Nat. Rev. Neurol. 2019, 15, 625–626. [Google Scholar] [CrossRef]
  21. Del Rey, N.L.-G.; Quiroga-Varela, A.; Garbayo, E.; Carballo-Carbajal, I.; Fernández-Santiago, R.; Monje, M.H.G.; Trigo-Damas, I.; Blanco-Prieto, M.J.; Blesa, J. Advances in Parkinson’s Disease: 200 Years Later. Front. Neuroanat. 2018, 12, 113. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Lill, C.M. Genetics of Parkinson’s disease. Mol. Cell. Probes 2016, 30, 386–396. [Google Scholar] [CrossRef] [PubMed]
  23. Bandres-Ciga, S.; Diez-Fairen, M.; Kim, J.J.; Singleton, A.B. Genetics of Parkinson’s disease: An introspection of its journey towards precision medicine. Neurobiol. Dis. 2020, 137, 104782. [Google Scholar] [CrossRef] [PubMed]
  24. Horgusluoglu-Moloch, E.; Nho, K.; Risacher, S.L.; Kim, S.; Foroud, T.; Shaw, L.M.; Trojanowski, J.Q.; Aisen, P.S.; Petersen, R.C.; Jack, C.R., Jr.; et al. Targeted neurogenesis pathway-based gene analysis identifies ADORA2A associated with hippocampal volume in mild cognitive impairment and Alzheimer’s disease. Neurobiol. Aging 2017, 60, 92–103. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Morelli, M.; Di Paolo, T.; Wardas, J.; Calon, F.; Xiao, D.; Schwarzschild, M.A. Role of adenosine A2A receptors in parkinsonian motor impairment and l-DOPA-induced motor complications. Prog. Neurobiol. 2007, 83, 293–309. [Google Scholar] [CrossRef] [PubMed]
  26. Schiffmann, S.N.; Fisone, G.; Moresco, R.; Cunha, R.A.; Ferré, S. Adenosine A2A receptors and basal ganglia physiology. Prog. Neurobiol. 2007, 83, 277–292. [Google Scholar] [CrossRef] [Green Version]
  27. Alsene, K.; Deckert, J.; Sand, P.; de Wit, H. Association between A2a receptor gene polymorphisms and caffeine-induced anxiety. Neuropsychopharmacology 2003, 28, 1694–1702. [Google Scholar] [CrossRef]
  28. Rétey, J.V.; Adam, M.; Khatami, R.; Luhmann, U.F.; Jung, H.H.; Berger, W.; Landolt, H.P. A genetic variation in the adenosine A2A receptor gene (ADORA2A) contributes to individual sensitivity to caffeine effects on sleep. Clin. Pharmacol. Ther. 2007, 81, 692–698. [Google Scholar] [CrossRef]
  29. Chen, J.F.; Xu, K.; Petzer, J.P.; Staal, R.; Xu, Y.H.; Beilstein, M.; Sonsalla, P.K.; Castagnoli, K.; Castagnoli, N., Jr.; Schwarzschild, M.A. Neuroprotection by caffeine and A(2A) adenosine receptor inactivation in a model of Parkinson’s disease. J. Neurosci. 2001, 21, Rc143. [Google Scholar] [CrossRef] [Green Version]
  30. Koonrungsesomboon, N.; Khatsri, R.; Wongchompoo, P.; Teekachunhatean, S. The impact of genetic polymorphisms on CYP1A2 activity in humans: A systematic review and meta-analysis. Pharm. J. 2018, 18, 760–768. [Google Scholar] [CrossRef]
  31. Sridhar, J.; Goyal, N.; Liu, J.; Foroozesh, M. Review of Ligand Specificity Factors for CYP1A Subfamily Enzymes from Molecular Modeling Studies Reported to-Date. Molecules 2017, 22, 1143. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Stiborová, M.; Levová, K.; Bárta, F.; Shi, Z.; Frei, E.; Schmeiser, H.H.; Nebert, D.W.; Phillips, D.H.; Arlt, V.M. Bioactivation versus detoxication of the urothelial carcinogen aristolochic acid I by human cytochrome P450 1A1 and 1A2. Toxicol. Sci. 2012, 125, 345–358. [Google Scholar] [CrossRef] [PubMed]
  33. Sachse, C.; Brockmoller, J.; Bauer, S.; Roots, I. Functional significance of a C → A polymorphism in intron 1 of the cytochrome P450 CYP1A2 gene tested with caffeine. Br. J. Clin. Pharmacol. 1999, 47, 445–449. [Google Scholar] [CrossRef] [Green Version]
  34. Palacios, N.; Weisskopf, M.; Simon, K.; Gao, X.; Schwarzschild, M.; Ascherio, A. Polymorphisms of caffeine metabolism and estrogen receptor genes and risk of Parkinson’s disease in men and women. Parkinsonism Relat. Disord. 2010, 16, 370–375. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Chuang, Y.H.; Lill, C.M.; Lee, P.C.; Hansen, J.; Lassen, C.F.; Bertram, L.; Greene, N.; Sinsheimer, J.S.; Ritz, B. Gene-Environment Interaction in Parkinson’s Disease: Coffee, ADORA2A, and CYP1A2. Neuroepidemiology 2016, 47, 192–200. [Google Scholar] [CrossRef] [PubMed]
  36. Dardiotis, E.; Rikos, D.; Siokas, V.; Aloizou, A.M.; Tsouris, Z.; Sakalakis, E.; Brotis, A.G.; Bogdanos, D.P.; Hadjigeorgiou, G.M. Assessment of TREM2 rs75932628 variant’s association with Parkinson’s disease in a Greek population and Meta-analysis of current data. Int. J. Neurosci. 2020, 1–5. [Google Scholar] [CrossRef]
  37. Siokas, V.; Kardaras, D.; Aloizou, A.M.; Asproudis, I.; Boboridis, K.G.; Papageorgiou, E.; Hadjigeorgiou, G.M.; Tsironi, E.E.; Dardiotis, E. BDNF rs6265 (Val66Met) Polymorphism as a Risk Factor for Blepharospasm. Neuromolecular Med. 2019, 21, 68–74. [Google Scholar] [CrossRef]
  38. Siokas, V.; Kardaras, D.; Aloizou, A.M.; Asproudis, I.; Boboridis, K.G.; Papageorgiou, E.; Spandidos, D.A.; Tsatsakis, A.; Tsironi, E.E.; Dardiotis, E. Lack of Association of the rs11655081 ARSG Gene with Blepharospasm. J. Mol. Neurosci. 2019, 67, 472–476. [Google Scholar] [CrossRef]
  39. Dardiotis, E.; Siokas, V.; Zafeiridis, T.; Paterakis, K.; Tsivgoulis, G.; Dardioti, M.; Grigoriadis, S.; Simeonidou, C.; Deretzi, G.; Zintzaras, E.; et al. Integrins AV and B8 Gene Polymorphisms and Risk for Intracerebral Hemorrhage in Greek and Polish Populations. Neuromolecular Med. 2017, 19, 69–80. [Google Scholar] [CrossRef]
  40. Siokas, V.; Tsouris, Z.; Aloizou, A.M.; Bakirtzis, C.; Liampas, I.; Koutsis, G.; Anagnostouli, M.; Bogdanos, D.P.; Grigoriadis, N.; Hadjigeorgiou, G.M.; et al. Multiple Sclerosis: Shall We Target CD33? Genes 2020, 11, 1334. [Google Scholar] [CrossRef]
  41. Skol, A.D.; Scott, L.J.; Abecasis, G.R.; Boehnke, M. Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nat. Genet. 2006, 38, 209–213. [Google Scholar] [CrossRef] [PubMed]
  42. Sole, X.; Guino, E.; Valls, J.; Iniesta, R.; Moreno, V. SNPStats: A web tool for the analysis of association studies. Bioinformatics 2006, 22, 1928–1929. [Google Scholar] [CrossRef] [Green Version]
  43. Popat, R.A.; Van Den Eeden, S.K.; Tanner, C.M.; Kamel, F.; Umbach, D.M.; Marder, K.; Mayeux, R.; Ritz, B.; Ross, G.W.; Petrovitch, H.; et al. Coffee, ADORA2A, and CYP1A2: The caffeine connection in Parkinson’s disease. Eur. J. Neurol. 2011, 18, 756–765. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Tan, E.K.; Chua, E.; Fook-Chong, S.M.; Teo, Y.Y.; Yuen, Y.; Tan, L.; Zhao, Y. Association between caffeine intake and risk of Parkinson’s disease among fast and slow metabolizers. Pharm. Genom. 2007, 17, 1001–1005. [Google Scholar] [CrossRef] [PubMed]
  45. Kim, I.Y.; O’Reilly, É.J.; Hughes, K.C.; Gao, X.; Schwarzschild, M.A.; McCullough, M.L.; Hannan, M.T.; Betensky, R.A.; Ascherio, A. Interaction between caffeine and polymorphisms of glutamate ionotropic receptor NMDA type subunit 2A (GRIN2A) and cytochrome P450 1A2 (CYP1A2) on Parkinson’s disease risk. Mov. Disord. 2018, 33, 414–420. [Google Scholar] [CrossRef]
  46. Cochran, W.G. The combination of estimates from different experiments. Biometrics 1954, 10, 101–129. [Google Scholar] [CrossRef]
  47. Higgins, J.P.; Thompson, S.G.; Deeks, J.J.; Altman, D.G. Measuring inconsistency in meta-analyses. BMJ 2003, 327, 557–560. [Google Scholar] [CrossRef] [Green Version]
  48. Siokas, V.; Dardiotis, E.; Tsironi, E.E.; Tsivgoulis, G.; Rikos, D.; Sokratous, M.; Koutsias, S.; Paterakis, K.; Deretzi, G.; Hadjigeorgiou, G.M. The Role of TOR1A Polymorphisms in Dystonia: A Systematic Review and Meta-Analysis. PLoS ONE 2017, 12, e0169934. [Google Scholar] [CrossRef]
  49. DerSimonian, R.; Laird, N. Meta-analysis in clinical trials. Control. Clin. Trials 1986, 7, 177–188. [Google Scholar] [CrossRef]
  50. Mantel, N.; Haenszel, W. Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease. J. Natl. Cancer Inst. 1959, 22, 719–748. [Google Scholar] [CrossRef] [Green Version]
  51. Banerjee, I. CD14 C260T promoter polymorphism and the risk of cerebrovascular diseases: A meta-analysis. J. Appl. Genet. 2009, 50, 153–157. [Google Scholar] [CrossRef] [PubMed]
  52. Negida, A.; Elfil, M.; Attia, A.; Farahat, E.; Gabr, M.; Essam, A.; Attia, D.; Ahmed, H. Caffeine; the Forgotten Potential for Parkinson’s Disease. CNS Neurol. Disord. Drug Targets 2017, 16, 652–657. [Google Scholar] [CrossRef] [PubMed]
  53. Ascherio, A.; Schwarzschild, M.A. The epidemiology of Parkinson’s disease: Risk factors and prevention. Lancet Neurol. 2016, 15, 1257–1272. [Google Scholar] [CrossRef]
  54. Kolahdouzan, M.; Hamadeh, M.J. The neuroprotective effects of caffeine in neurodegenerative diseases. CNS Neurosci. Ther. 2017, 23, 272–290. [Google Scholar] [CrossRef]
  55. Tan, E.K.; Tan, C.; Fook-Chong, S.; Lum, S.Y.; Chai, A.; Chung, H.; Shen, H.; Zhao, Y.; Teoh, M.L.; Yih, Y.; et al. Dose-dependent protective effect of coffee, tea, and smoking in Parkinson’s disease: A study in ethnic Chinese. J. Neurol. Sci. 2003, 216, 163–167. [Google Scholar] [CrossRef]
  56. Facheris, M.F.; Schneider, N.K.; Lesnick, T.G.; de Andrade, M.; Cunningham, J.M.; Rocca, W.A.; Maraganore, D.M. Coffee, caffeine-related genes, and Parkinson’s disease: A case-control study. Mov. Disord. 2008, 23, 2033–2040. [Google Scholar] [CrossRef] [Green Version]
  57. Hill-Burns, E.M.; Hamza, T.H.; Zabetian, C.P.; Factor, S.A.; Payami, H. An attempt to replicate interaction between coffee and CYP1A2 gene in connection to Parkinson’s disease. Eur. J. Neurol. 2011, 18, e107–e109. [Google Scholar] [CrossRef] [Green Version]
  58. Fujimaki, M.; Saiki, S.; Li, Y.; Kaga, N.; Taka, H.; Hatano, T.; Ishikawa, K.I.; Oji, Y.; Mori, A.; Okuzumi, A.; et al. Serum caffeine and metabolites are reliable biomarkers of early Parkinson disease. Neurology 2018, 90, e404–e411. [Google Scholar] [CrossRef] [Green Version]
  59. Rieck, M.; Schumacher-Schuh, A.F.; Callegari-Jacques, S.M.; Altmann, V.; Medeiros, M.S.; Rieder, C.R.; Hutz, M.H. Is there a role for ADORA2A polymorphisms in levodopa-induced dyskinesia in Parkinson’s disease patients? Pharmacogenomics 2015, 16, 573–582. [Google Scholar] [CrossRef]
  60. Siokas, V.; Karampinis, E.; Aloizou, A.M.; Mentis, A.A.; Liakos, P.; Papadimitriou, D.; Liampas, I.; Nasios, G.; Bogdanos, D.P.; Hadjigeorgiou, G.M.; et al. CYP1A2 rs762551 polymorphism and risk for amyotrophic lateral sclerosis. Neurol. Sci. 2020. [Google Scholar] [CrossRef]
  61. Siokas, V.; Kardaras, D.; Aloizou, A.M.; Liampas, I.; Papageorgiou, E.; Drakoulis, N.; Tsatsakis, A.; Mitsias, P.D.; Hadjigeorgiou, G.M.; Tsironi, E.E.; et al. CYP1A2 rs762551 and ADORA2A rs5760423 Polymorphisms in Patients with Blepharospasm. J. Mol. Neurosci. 2020, 70, 1370–1375. [Google Scholar] [CrossRef] [PubMed]
Table
Table 1. Demographic and Clinical Characteristics of PD Participants.
Table 1. Demographic and Clinical Characteristics of PD Participants.
PD
n358
Male, n (%)172
Female, n (%)186
Male:Female ratio0.92
Age at time of analysis, mean ± SD (y)68.07 ± 9.55
Age at onset, mean ± SD (y)63.01 ± 10.12
PD, Parkinson’s disease; SD, standard deviation.
Table
Table 2. Allelic and genotype frequencies for ADORA2A rs5760423 and CYP1A2 rs762551 in healthy controls, in PD cases and whole sample.
Table 2. Allelic and genotype frequencies for ADORA2A rs5760423 and CYP1A2 rs762551 in healthy controls, in PD cases and whole sample.
VariantGenotypes/
Alleles		Healthy
Controls
n = 358		PD
n = 358		Whole Sample
n = 716
ADORA2A rs5760423n (%)n (%)n (%)
GenotypeG/G108 (0.31)121 (0.35)229 (0.33)
G/T182 (0.52)158 (0.45)340 (0.48)
T/T62 (0.18)71 (0.20)133 (0.19)
Missing6814
Allele G398 (0.57)400 (0.57)798 (0.57)
T306 (0.43)300 (0.43)606 (0.43)
CYP1A2 rs762551
GenotypeA/A144 (0.41)150 (0.42)294 (0.41)
A/C163 (0.46)168 (0.47)331 (0.47)
C/C47 (0.13)37 (0.10)84 (0.12)
Missing437
Allele A451 (0.64)468 (0.66)919 (0.65)
C257 (0.36)242 (0.34)499 (0.35)
PD, Parkinson’s diseases; ADORA2A, Adenosine Receptor Subtype A2a; CYP1A2, Cytochrome P450 1A2.
Table
Table 3. Single locus analysis for association among ADORA2A rs5760423, CYP1A2 rs762551 and PD in co-dominant, dominant, recessive over-dominant and log-additive modes.
Table 3. Single locus analysis for association among ADORA2A rs5760423, CYP1A2 rs762551 and PD in co-dominant, dominant, recessive over-dominant and log-additive modes.
Variant/ModeGenotypeOR (95 %CI)p-Value
ADORA2A rs5760423
CodominantG/G1.000.22
T/G0.77 (0.55–1.08)
T/T1.02 (0.67–1.57)
DominantG/G1.000.27
T/G-T/T0.84 (0.61–1.15)
RecessiveG/G-T/G1.000.37
T/T1.19 (0.82–1.74)
Over-dominantG/G-T/T1.000.082
T/G0.77 (0.57–1.03)
Log-additive–0.98 (0.79–1.20)0.82
CYP1A2 rs762551
CodominantA/A1.000.5
C/A0.99 (0.72–1.35)
C/C0.76 (0.46–1.23)
DominantA/A1.000.67
C/A-C/C0.94 (0.70–1.26)
RecessiveA/A-C/A1.000.24
C/C0.76 (0.48–1.20)
Over-dominantA/A-C/C1.000.73
C/A1.05 (0.78–1.41)
Log-additive–0.91 (0.73–1.13)0.38
PD, Parkinson’s disease; CI, confidence interval; OR, odds ratio; ADORA2A, Adenosine Receptor Subtype A2a; CYP1A2, Cytochrome P450 1A2.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Siokas, V.; Aloizou, A.-M.; Tsouris, Z.; Liampas, I.; Liakos, P.; Calina, D.; Docea, A.O.; Tsatsakis, A.; Bogdanos, D.P.; Hadjigeorgiou, G.M.; et al. ADORA2A rs5760423 and CYP1A2 rs762551 Polymorphisms as Risk Factors for Parkinson’s Disease. J. Clin. Med. 2021, 10, 381. https://doi.org/10.3390/jcm10030381

AMA Style

Siokas V, Aloizou A-M, Tsouris Z, Liampas I, Liakos P, Calina D, Docea AO, Tsatsakis A, Bogdanos DP, Hadjigeorgiou GM, et al. ADORA2A rs5760423 and CYP1A2 rs762551 Polymorphisms as Risk Factors for Parkinson’s Disease. Journal of Clinical Medicine. 2021; 10(3):381. https://doi.org/10.3390/jcm10030381

Chicago/Turabian Style

Siokas, Vasileios, Athina-Maria Aloizou, Zisis Tsouris, Ioannis Liampas, Panagiotis Liakos, Daniela Calina, Anca Oana Docea, Aristidis Tsatsakis, Dimitrios P. Bogdanos, Georgios M. Hadjigeorgiou, and et al. 2021. "ADORA2A rs5760423 and CYP1A2 rs762551 Polymorphisms as Risk Factors for Parkinson’s Disease" Journal of Clinical Medicine 10, no. 3: 381. https://doi.org/10.3390/jcm10030381

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop