Abstract
Background
Neurodegenerative genes are critical in neuronal loss in Parkinson’s disease (PD). We performed a systematic meta-analysis including all the studies published on PD risk related to genes encoding enzymes vital for dopamine metabolism and neuron survival.
Methods
We included neurodegeneration-related genes which were divided into four groups according to their functions: main enzymes in dopamine metabolism, receptors and transporters for dopamine or other metabolites, neuroprotective factors for dopaminergic neurons, and genes associated with dopaminergic neurons survival reported in other neurological diseases. We collected original articles from PubMed, Embase, and Web of Science databases. Revman 5.3 software was used to analyze data. The allele model (AM) was used to test the effect size of the effect allele between the case group and the control group and secondary analysis using the dominant model (DM) and recessive model (RM) to analyze the contributions from heterozygote and homozygote to the allele risk. Odds ratio (OR) and 95% confidence interval (CI) were used to present the pooled results.
Results
We included 31 variants in 20 genes for the final pooled analysis. Consequently, SLC6A4/5-HTT HTTLPR, BDNF rs56164415, FGF20 rs1721100, PARK16 rs823128, rs823156, rs947211, APOE e2, A2M rs669, RIT2 rs12456492, MAPT intron 9 H1H2, and STH rs62063857 variants were statistically associated with PD risk while researched variants in COMT, DBH, MAO, DAT/SLC6A3, DRD2, GRIN2B, GSK3β, ATP13A2, LINGO1, PICALM, and GRN were not related to PD risk.
Conclusion
Several variants from neurodegeneration-related genes are associated with PD risk, which may help deepen the understanding of PD pathogenesis and improve clinical treatment strategies.
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References
Lew M (2007) Overview of Parkinson’s disease. Pharmacotherapy 27(12 Pt 2):155s–160s
Chinta SJ, Andersen JK (2005) Dopaminergic neurons. Int J Biochem Cell Biol 37(5):942–946
Miller DB, O’Callaghan JP (2015) Biomarkers of Parkinson’s disease: present and future. Metabolism 64(3 Suppl 1):S40–S46
Costa P et al (1997) Association of a polymorphism in intron 13 of the monoamine oxidase B gene with Parkinson disease. Am J Med Genet 74(2):154–156
Rush RA, Geffen LB (1980) Dopamine beta-hydroxylase in health and disease. Crit Rev Clin Lab Sci 12(3):241–277
Yenisetti SC (2018) Parkinson’s disease - understanding pathophysiology and developing therapeutic strategies || effects of genetic variability in dopaminergic pathway on treatment response in Parkinson’s disease. https://doi.org/10.5772/intechopen.70111(Chapter 3).
Liu Y et al (2021) FGF, mechanism of action, role in Parkinson’s disease, and therapeutics. Front Pharmacol 12:675725
Paslawski W et al (2019) α-synuclein-lipoprotein interactions and elevated ApoE level in cerebrospinal fluid from Parkinson’s disease patients. Proc Natl Acad Sci U S A 116(30):15226–15235
Zhou ZD, Sathiyamoorthy S, Tan EK (2012) LINGO-1 and neurodegeneration: pathophysiologic clues for essential tremor. Tremor Other Hyperkinet Mov (N Y), 2.
Hughes AJ et al (1992) Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry 55(3):181–184
Postuma RB et al (2015) MDS clinical diagnostic criteria for Parkinson’s disease. Mov Disord 30(12):1591–1601
Lo CK, Mertz D, Loeb M (2014) Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments. BMC Med Res Methodol 14:45
Zhao F et al (2016) Genetic model. J Cell Mol Med 20(4):765
Cacabelos R (2017) Parkinson’s disease: from pathogenesis to pharmacogenomics. Int J Mol Sci 18(3).
Wang YC et al (2019) COMT Val158Met polymorphism and Parkinson’s disease risk: a pooled analysis in different populations. Neurol Res 41(4):319–325
Zhang Y et al (2016) A meta-analysis on relationship of MAOB intron 13 polymorphisms, interactions with smoking/COMT H158L polymorphisms with the risk of PD. Int J Neurosci 126(5):400–407
Yin Y et al (2021) Association of COMT rs4680 and MAO-B rs1799836 polymorphisms with levodopa-induced dyskinesia in Parkinson’s disease-a meta-analysis. Neurol Sci 42(10):4085–4094
Tang S et al (2018) Association of dopamine beta-hydroxylase polymorphisms with Alzheimer’s disease, Parkinson’s disease and Schizophrenia: evidence based on currently available loci. Cell Physiol Biochem 51(1):411–428
Kang S et al (2018) Association of the rs1611115 polymorphism in DBH gene with Parkinson’s disease: a meta-analysis. Neurol Sci 39(12):2085–2089
Ghosh A et al (2019) Dopamine β Hydroxylase (DBH) is a potential modifier gene associated with Parkinson’s disease in Eastern India. Neurosci Lett 706:75–80
Politis M, Loane C (2011) Serotonergic dysfunction in Parkinson’s disease and its relevance to disability. ScientificWorldJournal 11:1726–1734
Cheng P et al (2021) 5-HTTLPR polymorphism and depression risk in Parkinson’s disease: an updated meta-analysis. Acta Neurol Belg 121(4):933–940
McDonell KE et al (2018) Taq1A polymorphism and medication effects on inhibitory action control in Parkinson disease. Brain Behav 8(7):e01008
Lee JY et al (2009) Association of DRD3 and GRIN2B with impulse control and related behaviors in Parkinson’s disease. Mov Disord 24(12):1803–1810
Zainal Abidin S et al (2015) DRD and GRIN2B polymorphisms and their association with the development of impulse control behaviour among Malaysian Parkinson’s disease patients. BMC Neurol 15:59
MacLeod DA et al (2013) RAB7L1 interacts with LRRK2 to modify intraneuronal protein sorting and Parkinson’s disease risk. Neuron 77(3):425–439
He T et al (2017) Association between PARK16 and Parkinson’s disease: a meta-analysis. Neurosci Lett 657:179–188
Gopalai AA et al (2016) PARK16 is associated with PD in the Malaysian population. Am J Med Genet B Neuropsychiatr Genet 171(6):839–847
Miller KM, Mercado NM, Sortwell CE (2021) Synucleinopathy-associated pathogenesis in Parkinson’s disease and the potential for brain-derived neurotrophic factor. NPJ Parkinsons Dis 7(1):35
Pal P et al (2019) Role of apolipoprotein E, cathepsin D, and brain-derived neurotrophic factor in Parkinson’s disease: a study from Eastern India. Neuromolecular Med 21(3):287–294
Itoh N, Ohta H (2013) Roles of FGF20 in dopaminergic neurons and Parkinson’s disease. Front Mol Neurosci 6:15
Ma ZG, Xu J, Liu TW (2015) Quantitative assessment of the association between fibroblast growth factor 20 rs1721100 C/G polymorphism and the risk of sporadic Parkinson’s diseases: a meta-analysis. Neurol Sci 36(1):47–51
Fyfe I (2020) APOE(*)ε4 promotes synucleinopathy. Nat Rev Neurol 16(4):185
Huang X, Chen PC, Poole C (2004) APOE-[epsilon]2 allele associated with higher prevalence of sporadic Parkinson disease. Neurology 62(12):2198–2202
Paul KC et al (2016) APOE, MAPT, and COMT and Parkinson’s disease susceptibility and cognitive symptom progression. J Parkinsons Dis 6(2):349–359
Robakis D et al (2016) The effect of MAPT haplotype on neocortical Lewy body pathology in Parkinson disease. J Neural Transm (Vienna) 123(6):583–588
Millard SP et al (2014) Association of cerebrospinal fluid Aβ42 with A2M gene in cognitively normal subjects. Neurobiol Aging 35(2):357–364
Guo X et al (2016) Association between two alpha-2-macroglobulin gene polymorphisms and Parkinson’s disease: a meta-analysis. Int J Neurosci 126(3):193–198
Daneshmandpour Y, Darvish H, Emamalizadeh B (2018) RIT2: responsible and susceptible gene for neurological and psychiatric disorders. Mol Genet Genomics 293(4):785–792
Lu Y et al (2015) Genetic association of RIT2 rs12456492 polymorphism and Parkinson’s disease susceptibility in Asian populations: a meta-analysis. Sci Rep 5:13805
Funding
This research was supported by the National Natural Science Foundation of China (No. 82001357), the Hunan Provincial Natural Science Foundation of China (No. 2020JJ5951, No. 2021JJ80079), the Youth Science Foundation of Xiangya Hospital (No. 2019Q17), the Degree & Postgraduate Education Reform Project of Central South University (No. 2021YJSKSA10), the Undergraduate Education Reform Project of Central South University (No. 2021CG065, No. 2021CG068) and the Research Project of Laboratory Construction and Management of Central South University (No. 202120).
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Study design: M. H. Y. and Y. Z.; data collection: M. H. Y., J. X. L., B. B. L., S. J. Y., L. S., Y. Z., Z. N. H., and Y. Z.; data analysis: M. H. Y., J. X. L., B. B. L., S. J. Y., and Y. Z.; writing: M. H. Y., J. X. L., B. B. L., S. J. Y., L. S., and Y. Z.; funding: M. H. Y. and Y. Z.; administration: M. H. Y. and Y. Z.
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Li, J., Yi, M., Li, B. et al. Polymorphism of neurodegeneration-related genes associated with Parkinson’s disease risk. Neurol Sci 43, 5301–5312 (2022). https://doi.org/10.1007/s10072-022-06192-8
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DOI: https://doi.org/10.1007/s10072-022-06192-8