Literature DB >> 28173842

Hypomethylation of intron1 of α-synuclein gene does not correlate with Parkinson's disease.

Subhrangshu Guhathakurta1, Baggio A Evangelista1, Susmita Ghosh1, Sambuddha Basu1, Yoon-Seong Kim2,3.   

Abstract

Deregulation of α-synuclein encoding gene (SNCA) is one of the important facets of Parkinson's disease (PD) research. DNA methylation status of SNCA-intron1 has been shown to regulate the α-synuclein expression. The present study is aimed at investigating whether methylation of SNCA-intron1 is associated with higher expression of α-synuclein in PD. We have investigated the intron1 methylation status from 16 post-mortem brain samples comprised of 8 PD and 8 control subjects using bisulfite sequencing. We further correlated this methylation status with α-synuclein protein levels in substantia nigra of that individual using western blot analysis. We did not observe any significant difference in methylation of SNCA-intron1 region between PD and control samples. Moreover, no correlation was observed between methylation of SNCA-intron1 with α-synuclein level. Methylation of SNCA-intron1 region does not correlate with α-synuclein expression in PD samples.

Entities:  

Keywords:  DNA methylation; Epigenetic regulation; Parkinson’s Disease; α-synuclein

Mesh:

Substances:

Year:  2017        PMID: 28173842      PMCID: PMC5297217          DOI: 10.1186/s13041-017-0285-z

Source DB:  PubMed          Journal:  Mol Brain        ISSN: 1756-6606            Impact factor:   4.041


Introduction

Role of α-synuclein (α-SYN) in the pathogenesis of Parkinson′s disease (PD) is undeniable. Epigenetic regulation of α-SYN encoding gene (SNCA) has been greatly explored focusing on the methylation status of intron1 CpG island [1-9]. SNCA harbors 6 exons of which two upstream exons (1A and 1B) remain non-coding and part of its 5′ untranslated region [1]. This intron1 region right before the first coding exon (exon 2) has been shown to regulate gene expression to a great extent by differential methylation of its CpG island and also by recruitment of several transcription factors [1, 10]. It is known that SNCA duplication/triplication is strongly associated with familial form of PD and this gene multiplication has also been shown to produce significantly higher mRNA in the cell [11-13]. Thus it can be conferred that higher expression of α-SYN can lead to PD pathogenesis. Since hypomethylation of CpGs of a gene-regulatory region is generally associated with increased expression of the gene, it is hypothesized that decrease in methylation in the intron1 of SNCA might increase expression of α-SYN in PD [1]. In the present study, we have investigated the methylation status of the SNCA-intron1 in the substantia nigra of post-mortem PD patients and matched controls to decipher the association of DNA methylation in this region and PD pathogenesis. Moreover, we have also correlated this methylation status with the level of α-SYN in the subjects.

Methods

Post-mortem brain samples

In the present study, 16 post-mortem brain samples were investigated which consisted of 8 PD and 8 control subjects. The 7 samples from each group were obtained from NIH Neurobio bank consortium. Age ranged from 73 to 83 years (average 78.71 years) and post-mortem interval (PMI) varied from 6.7 hours to 15 hours (average 11.67 hours) in PD cases. Similarly, the age of the controls ranged from 54 years to 89 years with an average of 73.53 years. PMI for the controls varied from 10 hours to 30.25 hours (average 24.02 hours). One control and PD brain sample were procured from UK Brain bank. Age and post-mortem delay information for those two subjects were not available to us.

SNCA methylation analysis

Around 25 mg of SN tissue from each freshly frozen sample was precisely isolated by punch biopsy. DNA was extracted using Quick-DNA Universal Kit (Zymo Research; Catalogue No. D4068). Around 500 nanograms of DNA per sample was used for sodium bisulfite conversion using EZ DNA methylation kit (Zymo Research; Catalogue No. D5001) with little modifications following their optimization guide to ensure complete bisulfite conversion. Each reaction was made in duplicate to increase the amount of template DNA for the PCR. To amplify the intron1 region of SNCA spanning 23 CpG sites, we used the primers as described by Jowaed et al. [1]. EpiMark Hot Start Taq DNA polymerase (NEB Inc; Catalogue No. M0490S) was used for the PCR amplification. The amplified PCR products of 444 base pair (Fig.1a) were then cloned into pGEM-T Easy vector (Promega; Catalogue No. A137A) and 9 to 10 positive colonies per PCR product were sequenced using T7 promoter or SP6 reverse primers.
Fig. 1

Methylation of SNCA-intron1 does not differ between PD and controls. SNCA contains 6 exons. A 444 bp region in the intron1 (-483 to -926 bp with respect to ATG) was investigated. The sequence of the studied region is shown and the 23 CpGs are marked by numbers. The priming regions are underlined (a). Relative level of methylation (b) and unmethylated CpG (c) between control (CTRL) and PD groups are shown. No significant difference was observed between two groups for mean methylation level. Analysis of individual CpG site was done from control (n = 8) and PD (n = 8) subjects (d). Analysis did not reveal any significant difference between the groups. For every subject, 9 to 10 clones were studied to get the mean methylation percentage. The data is represented as mean ± SEM. Pair-wise comparison was made by Mann-Whitney t-test to analyze the significance. n.s. represents non-significant difference

Methylation of SNCA-intron1 does not differ between PD and controls. SNCA contains 6 exons. A 444 bp region in the intron1 (-483 to -926 bp with respect to ATG) was investigated. The sequence of the studied region is shown and the 23 CpGs are marked by numbers. The priming regions are underlined (a). Relative level of methylation (b) and unmethylated CpG (c) between control (CTRL) and PD groups are shown. No significant difference was observed between two groups for mean methylation level. Analysis of individual CpG site was done from control (n = 8) and PD (n = 8) subjects (d). Analysis did not reveal any significant difference between the groups. For every subject, 9 to 10 clones were studied to get the mean methylation percentage. The data is represented as mean ± SEM. Pair-wise comparison was made by Mann-Whitney t-test to analyze the significance. n.s. represents non-significant difference

Western blot analysis

Protein level of α-SYN from each sample was analyzed using 25-30 mg of freshly frozen SN tissue. Lysis was done in 100 μL of RIPA buffer (Radio Immuno Precipitation Assay buffer; 1% NP-40; 0.5% Sodium deoxycholate; 0.1% SDS, supplemented with protease inhibitor) at 4 °C. Equal amount of protein was loaded for all the samples in a 12% SDS-polyacrylamide gel and the separated proteins were then transferred onto a nitrocellulose membrane. The α-SYN and β-actin protein bands were detected using specific primary antibodies (α-SYN, BD Transduction Laboratories catalogue No. 610787, dilution 1: 500 and β-actin, Sigma, Catalogue No. A5316, dilution: 1:10,000). An anti-mouse HRP (Horse radish peroxidase)-conjugated secondary antibody (Jackson Immuno Research, dilution 1:5,000) was used to visualize the bands by enhanced chemiluminescent technique. Since, the two samples from UK brain bank were collected in 2011, there was not enough protein samples available at the time of study. Therefore, those two samples were not included for the studies on α-SYN protein level.

Statistical analysis

To calculate the relative level of methylation between PD and control subjects, QUMA software was used for the analysis with criteria that filters out the clonal PCR sequences and analyses only unique clones of the sample [14]. To determine the amount of methylation for each individual at 23 different CpG sites, percentage methylation of each of the CpG site of those 9 to 10 clones were calculated and averaged. Non-parametric Mann-Whitney t-test was applied to assess the significant difference in the mean methylation level between control and PD. Difference in normalized α-SYN expression (α-SYN/β-actin) between the groups was measured using Mann-Whitney t-test. To determine the correlation between percentage-demethylation with α-SYN expression, non-parametric Spearman′s Rank correlation was used for the groups followed by linear regression analysis. All the statistical analyses and graphical representations were done using GraphPad Prism software version 5.0. Significance was assessed at 95% level. Data are presented as mean ± SEM.

Results

In the present study, SNCA-intron1 region is comparably hypomethylated both in control (3.17 ± 0.66%) and PD (3.04 ± 0.81%) samples, and there is no significant difference in the methylation level between the groups (p = 0.9) (Fig.1b and c). We have also explored the mean methylation of individual CpG site (Fig. 1a and d). Pair-wise comparison of each CpG also did not reveal any significant difference in methylation between PD and control (Fig. 1d). The α-SYN protein level, although higher in PD cases, did not demonstrate any significant difference when compared to controls (p = 0.26) (Fig. 2a). At the same time, we did not observe any significant correlation between amount of unmethylated CpG and α-SYN expression in any group (r = -0.20, p = 0.67 control and r = 0.05, p = 0.92 PD) (Fig. 2b and c).
Fig. 2

Methylation status of SNCA-intron1 does not correlate with α-SYN level. Total α-SYN level was measured for both control (n = 7) and PD (n = 7) groups using western blot analysis. The gel picture shows the level of α-SYN and β-actin in each samples, where C1 to C8 represent controls and P1 to P8 represent the PD subjects respectively. The α-SYN level was compared between both the groups after normalizing it to respective β-actin. No significant difference in α-SYN levels was observed between control and PD using Mann-Whitney t-test (a). Correlation between percentage of demethylation with α-SYN levels for control (b) and PD patients (c) were carried out. The test did not reveal any significant correlation in any group with α-SYN levels. Spearman’s rank correlation analysis was applied in both the groups. n.s. represents non-significant difference

Methylation status of SNCA-intron1 does not correlate with α-SYN level. Total α-SYN level was measured for both control (n = 7) and PD (n = 7) groups using western blot analysis. The gel picture shows the level of α-SYN and β-actin in each samples, where C1 to C8 represent controls and P1 to P8 represent the PD subjects respectively. The α-SYN level was compared between both the groups after normalizing it to respective β-actin. No significant difference in α-SYN levels was observed between control and PD using Mann-Whitney t-test (a). Correlation between percentage of demethylation with α-SYN levels for control (b) and PD patients (c) were carried out. The test did not reveal any significant correlation in any group with α-SYN levels. Spearman’s rank correlation analysis was applied in both the groups. n.s. represents non-significant difference In the present cohort of samples, we did not find any significant correlation between either age (r = 0.39, p = 0.39 for controls; r = 0.10, p = 0.83 for PD) or PMI (r = -0.07, p = 0.89 for controls; r = 0.25, p = 0.59 for PD) of the study subjects with respective methylation status using Spearman′s rank correlation test. It was also previously shown by de Boni et al., that there is no correlation between PMI and methylation in Lewy Body disease (LBD) cases or in control [3]. However, they found a slightly significant correlation with age of the LBD cases and methylation [3].

Discussion

Regulation of SNCA expression by its methylation status of inton1 has been widely studied in relation to PD [1-9]. It′s important to note that SNCA like any other gene has several regulatory regions and variations, which have been shown to regulate this gene′s expression significantly irrespective of methylation status of SNCA-intron1 [15-17]. However, it’s also interesting that SNCA- intron1 methylation varies widely in different type of cells and demethylation of this region is positively correlated with higher expression of α-SYN [1, 2]. Therefore, it is important to study SNCA-intron1 methylation status in the SN of PD and control to understand if hypomethylation of this gene can be correlated with the disease. In the present report, we have explored the methylation status of SNCA-intron1 in the SN of post-mortem PD and control subjects. As reported by others [1, 3, 6, 7], we also have observed that mean methylation of this locus in the SN is extremely low (Fig. 1c). We have studied a region of intron1 which was previously studied by Jowaed et al. [1], encompassing 23 CpG sites (Fig. 1a). We did not find any significant hypomethylation in PD subjects as compared to the controls (Fig. 1c). No association of SNCA-intron1 methylation in PD subjects was previously reported by other groups as well [3, 5, 7]. However, several groups reported significant difference in methylation between PD and control [1, 2, 4, 6, 8, 9]. This apparent difference in the outcome could be attributed to several factors like investigation of different CpGs regions in different studies, admixture of different cell types in the SN region apart from dopaminergic neurons and also may be due to difference in the sample characterization. Previously it was shown using luciferase reporter assay, that a significant demethylation of SNCA-intron1 could lead to an increase in α-SYN expression as compared to the completely methylated one [1]. Similarly, HEK293 cells treated with dopamine demonstrated induction of a sizable amount of demethylation (94.4% to 21.2% methylation) in this region and increased α-SYN expression [2]. Most of the studies on human brain samples including the present one have reported that SNCA-intron1 region in the SN is significantly hypomethylated (≥90%) both in control and PD which might be responsible for the constitutive expression of α-SYN in both groups. So, it can be envisaged that a small difference in methylation of SNCA-intron1 between PD and control, might have a limited effect on further expression of α-SYN [8]. Since, methylation of individual CpG site also can play a role in transcription factor binding [1, 3, 6–8], we have examined all 23 CpG sites separately in both the groups but failed to find any significant difference (Fig. 1d). However, we observed that 2nd to 7th CpG sites have a trend of hypomethylation in PD (Fig. 1d). Two other groups found significant differences in some of the CpG sites in PD cases which they hypothesized to play a significant role in increased transcription of SNCA [1, 8]. On the other hand, another study couldn’t find any site-specific hypomethylation in intron1 when they studied different brain regions, instead they found hypermethylation of few CpGs in some tissues in specific stages of LBD (Table 1) [3]. Some studies reported a difference in intron1 methylation between PD and controls from PBMC (peripheral blood mononuclear cells), however, some studies failed to find any such difference [5-8]. It has been already shown that methylation status varies between tissues and not necessarily mimics the situation in brain cell types [1, 2, 5–9].
Table 1

List of different studies investigated on SNCA-intron1 methylation

Author groupTissues studiedNumberCpG sites studied in intron1MethodSite specific change in methylation as compared to controlOverall SNCA-intron-1 methylationCorrelation with α-SYN
Jowaed et. al., 2010 [1]Post-mortem brain samplesSNpc and cortex (n = 6 PD, n = 6 controls), putamen (n = 6 PD, n = 8 control)23 CpG sitesBisulfite/Sanger sequencingSNpc and Putamen, hypomethylatedHypomethylated in SNpc, cortex and putamenNot studied
Matsumoto et al., 2010 [2]Post-mortem brain samplesSN (n = 3 PD, n = 1 DLB, n = 3 control) , anterior cingulate cortex (n = 12 PD/DLB, n = 8 control), putamen (n = 7 PD/DLB, n = 4 control)13 CpG sites (10th to 22nd as compared to ours)Bisulfite/Sanger sequencingNot studiedHypomethylated only in SNNot studied
De Boni et al., 2011 [3]Post-mortem brain samplesSN (n = 10 LBD, n = 3 control), putamen (n = 15 LBD, control n = 6), cingulate gyrus (n = 15 LBD, n = 6 controls), temporal cortex (n = 15 LBD, n = 6 controls), cerebellum (n = 14 LBD, n = 6 controls)19 CpG sites (2nd to 22nd (excepting 13th and 18th as compared to ours)Bisulfite/next-generation sequencingPutamen, hypermethylated in limbic and neocortical stages of LBDHypermethylated in putamen in case of limbic stage of LBD. Other tissues no significant changeNot studied
Desplats et al., 2011 [4]Post-mortem brain samplesFrontal cortex (n = 4 PD, n = 4 DLB, n = 4 control)Gross methylation of Intron1 regionMethylation sensitive PCRNot studiedHypomethylationNot studied
Richter et al., 2012 [5]PBMCIdiopathic PD (n = 43), monogenic PD (n = 3), controls (n = 37)7 CpG sites (16th to 22nd as compared to ours)Bisulfite/pyrosequencingNot studiedNo significant changeNot studied
Tan et al., 2014 [6]PBMCPD (n = 50), control (n = 49)14 CpG sites (10th to 23rd as compared to ours)Bisulfite/Sanger sequencinghypomethylatedHypomethylatedα-SYN expression increased with decreased methylation of intron1 in a small representative group of subjects
Song et al., 2014 [7]PBMCPD (n = 50), control (n = 50)13 CpG sites (10th to 22nd as compared to ours)Bisulfite/pyrosequencingNon-significant decreaseNo significant differenceNot studied
Ai et al., 2014 [8]PBMCPD (n = 100), control (n = 95)23 CpG sitesBisulfite/Sanger sequencinghypomethylatedHypomethylationNo difference in α-SYN expression between PD and control
Pihlstrom et al., 2015 [9]PBMC and post-mortem brain samplesPBMC (n = 36 PD, n = 36 control), cortex (n = 12 PD, n = 12 control)Gross methylation of Intron1 regionMethylation sensitive restriction digestion and quantitative PCRNot studiedHypomethylation in PBMC but no significant difference in post-mortem brain tissueNo difference in α-SYN expression between PD and control

PD Parkinson’s disease, SNpc Substantia nigra pars compacta, LBD Lewy body diseases, PBMC Peripheral blood mononuclear cells, Number of subjects are only related to SNCA-intron1 methylation studies

List of different studies investigated on SNCA-intron1 methylation PD Parkinson’s disease, SNpc Substantia nigra pars compacta, LBD Lewy body diseases, PBMC Peripheral blood mononuclear cells, Number of subjects are only related to SNCA-intron1 methylation studies Concurrently, we have also investigated α-SYN levels in these two groups but as expected, failed to find any significant difference in the protein level (Fig. 2a). However, both groups contained high as well as low α-SYN expressing subjects. This overall non-significant difference in protein levels between the groups might be partially explained by the observed non-significant difference in DNA methylation. One group showed a positive correlation between decreased intron1 methylation with increased α-SYN expression in PD cases [6]. However, two other studies reported no difference in α-SYN expression between PD and controls but they found a significant hypomethylation in intron1 [8, 9]. This further points out a limited effect of intron1 methylation on overall α-SYN level or transcription. Together, our study demonstrates a lack of association between SNCA-intron1 methylation and PD. However, this study points out the importance of studying a comprehensive epigenetic regulation of α-SYN rather than focusing only on DNA methylation status of this gene.
  17 in total

1.  alpha-Synuclein locus triplication causes Parkinson's disease.

Authors:  A B Singleton; M Farrer; J Johnson; A Singleton; S Hague; J Kachergus; M Hulihan; T Peuralinna; A Dutra; R Nussbaum; S Lincoln; A Crawley; M Hanson; D Maraganore; C Adler; M R Cookson; M Muenter; M Baptista; D Miller; J Blancato; J Hardy; K Gwinn-Hardy
Journal:  Science       Date:  2003-10-31       Impact factor: 47.728

2.  No evidence for differential methylation of α-synuclein in leukocyte DNA of Parkinson's disease patients.

Authors:  Julia Richter; Silke Appenzeller; Ole Ammerpohl; G Deuschl; Steffen Paschen; Norbert Brüggemann; Christine Klein; Gregor Kuhlenbäumer
Journal:  Mov Disord       Date:  2012-01-19       Impact factor: 10.338

3.  Methylation of α-synuclein and leucine-rich repeat kinase 2 in leukocyte DNA of Parkinson's disease patients.

Authors:  Yu-yan Tan; Li Wu; Zong-bo Zhao; Ying Wang; Qin Xiao; Jun Liu; Gang Wang; Jian-fang Ma; Sheng-di Chen
Journal:  Parkinsonism Relat Disord       Date:  2013-12-16       Impact factor: 4.891

4.  Effect of allelic variation at the NACP-Rep1 repeat upstream of the alpha-synuclein gene (SNCA) on transcription in a cell culture luciferase reporter system.

Authors:  O Chiba-Falek; R L Nussbaum
Journal:  Hum Mol Genet       Date:  2001-12-15       Impact factor: 6.150

5.  Parkinson's disease correlates with promoter methylation in the α-synuclein gene.

Authors:  Lasse Pihlstrøm; Victoria Berge; Aina Rengmark; Mathias Toft
Journal:  Mov Disord       Date:  2014-12-27       Impact factor: 10.338

6.  GATA transcription factors directly regulate the Parkinson's disease-linked gene alpha-synuclein.

Authors:  Clemens R Scherzer; Jeffrey A Grass; Zhixiang Liao; Imelda Pepivani; Bin Zheng; Aron C Eklund; Paul A Ney; Juliana Ng; Meghan McGoldrick; Brit Mollenhauer; Emery H Bresnick; Michael G Schlossmacher
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-31       Impact factor: 11.205

7.  CpG demethylation enhances alpha-synuclein expression and affects the pathogenesis of Parkinson's disease.

Authors:  Lumine Matsumoto; Hiroshi Takuma; Akira Tamaoka; Hiroshi Kurisaki; Hidetoshi Date; Shoji Tsuji; Atsushi Iwata
Journal:  PLoS One       Date:  2010-11-24       Impact factor: 3.240

8.  Alpha-synuclein in blood and brain from familial Parkinson disease with SNCA locus triplication.

Authors:  D W Miller; S M Hague; J Clarimon; M Baptista; K Gwinn-Hardy; M R Cookson; A B Singleton
Journal:  Neurology       Date:  2004-05-25       Impact factor: 9.910

9.  QUMA: quantification tool for methylation analysis.

Authors:  Yuichi Kumaki; Masaaki Oda; Masaki Okano
Journal:  Nucleic Acids Res       Date:  2008-05-16       Impact factor: 16.971

10.  Parkinson-associated risk variant in distal enhancer of α-synuclein modulates target gene expression.

Authors:  Frank Soldner; Yonatan Stelzer; Chikdu S Shivalila; Brian J Abraham; Jeanne C Latourelle; M Inmaculada Barrasa; Johanna Goldmann; Richard H Myers; Richard A Young; Rudolf Jaenisch
Journal:  Nature       Date:  2016-04-20       Impact factor: 49.962

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  12 in total

Review 1.  Deregulation of α-synuclein in Parkinson's disease: Insight from epigenetic structure and transcriptional regulation of SNCA.

Authors:  Subhrangshu Guhathakurta; Eugene Bok; Baggio A Evangelista; Yoon-Seong Kim
Journal:  Prog Neurobiol       Date:  2017-04-23       Impact factor: 11.685

2.  Downregulation of SNCA Expression by Targeted Editing of DNA Methylation: A Potential Strategy for Precision Therapy in PD.

Authors:  Boris Kantor; Lidia Tagliafierro; Jeffrey Gu; Madison E Zamora; Ekaterina Ilich; Carole Grenier; Zhiqing Y Huang; Susan Murphy; Ornit Chiba-Falek
Journal:  Mol Ther       Date:  2018-08-29       Impact factor: 11.454

3.  DNA methylation changes associated with Parkinson's disease progression: outcomes from the first longitudinal genome-wide methylation analysis in blood.

Authors:  Adrienne Henderson-Smith; Kathleen M Fisch; Jianping Hua; Ganqiang Liu; Eugenia Ricciardelli; Kristen Jepsen; Mathew Huentelman; Gabriel Stalberg; Steven D Edland; Clemens R Scherzer; Travis Dunckley; Paula Desplats
Journal:  Epigenetics       Date:  2019-03-14       Impact factor: 4.528

Review 4.  Advancing Stem Cell Models of Alpha-Synuclein Gene Regulation in Neurodegenerative Disease.

Authors:  Desiree A Piper; Danuta Sastre; Birgitt Schüle
Journal:  Front Neurosci       Date:  2018-04-09       Impact factor: 4.677

5.  Epigenetic Modifications of the α-Synuclein Gene and Relative Protein Content Are Affected by Ageing and Physical Exercise in Blood from Healthy Subjects.

Authors:  Simona Daniele; Barbara Costa; Deborah Pietrobono; Chiara Giacomelli; Caterina Iofrida; Maria Letizia Trincavelli; Jonathan Fusi; Ferdinando Franzoni; Claudia Martini
Journal:  Oxid Med Cell Longev       Date:  2018-04-15       Impact factor: 6.543

Review 6.  Epigenetics in Lewy Body Diseases: Impact on Gene Expression, Utility as a Biomarker, and Possibilities for Therapy.

Authors:  Aintzane Urbizu; Katrin Beyer
Journal:  Int J Mol Sci       Date:  2020-07-02       Impact factor: 5.923

7.  Targeted attenuation of elevated histone marks at SNCA alleviates α-synuclein in Parkinson's disease.

Authors:  Subhrangshu Guhathakurta; Jinil Kim; Levi Adams; Sambuddha Basu; Min Kyung Song; Evan Adler; Goun Je; Mariana Bernardo Fiadeiro; Yoon-Seong Kim
Journal:  EMBO Mol Med       Date:  2021-01-11       Impact factor: 12.137

8.  Cell-Type Specific Changes in DNA Methylation of SNCA Intron 1 in Synucleinopathy Brains.

Authors:  Jeffrey Gu; Julio Barrera; Young Yun; Susan K Murphy; Thomas G Beach; Randy L Woltjer; Geidy E Serrano; Boris Kantor; Ornit Chiba-Falek
Journal:  Front Neurosci       Date:  2021-04-28       Impact factor: 4.677

Review 9.  Implications of DNA Methylation in Parkinson's Disease.

Authors:  Ernesto Miranda-Morales; Karin Meier; Ada Sandoval-Carrillo; José Salas-Pacheco; Paola Vázquez-Cárdenas; Oscar Arias-Carrión
Journal:  Front Mol Neurosci       Date:  2017-07-18       Impact factor: 5.639

Review 10.  One-Carbon Metabolism: Pulling the Strings behind Aging and Neurodegeneration.

Authors:  Eirini Lionaki; Christina Ploumi; Nektarios Tavernarakis
Journal:  Cells       Date:  2022-01-09       Impact factor: 6.600

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