Abstract
Background and Objectives: To date, only one study has investigated the association between the rs616147 polymorphism of the Myelin-associated Oligodendrocyte Basic Protein (MOBP) locus and Amyotrophic Lateral Sclerosis (ALS). Materials and Methods: A case-control study was performed. Patients with definite sporadic ALS were prospectively and consecutively recruited from the inpatient and outpatient clinics of the Neurology Department of the General University Hospital of Larissa, Central Greece. Community based, age and sex matched healthy individuals with a free personal and family history constituted the control group. Results: A total of 155 patients with definite sporadic ALS and an equal number of healthy controls were genotyped. The power of our sample size was slightly above 80% and MOBP rs616147 was determined to be in Hardy-Weinberg Equilibrium among healthy participants (p = 1.00). According to the univariate analysis, there was no significant relationship between rs616147 and ALS [log-additive OR = 0.85 (0.61, 1.19), over-dominant OR = 0.73 (0.46, 1.15), recessive OR = 1.02 (0.50, 2.09), dominant OR = 0.74 (0.47, 1.16), co-dominant OR1 = 0.71 (0.44, 1.14) and co-dominant OR2 = 0.88 (0.42, 1.84). Additionally, the effect of rs616147 on the age of ALS onset was determined insignificant using both unadjusted and adjusted (sex, site of onset) cox-proportional models. Finally, rs616147 was not related to the site of ALS onset. Conclusions: Our study is the first to report the absence of an association between MOBP rs616147 and ALS among individuals of Greek ancestry. Additional, larger nationwide and multi-ethnic studies are warranted to shed light on the connection between rs616147 and ALS.
Keywords: Motor Neuron Disease (MND), Amyotrophic Lateral Sclerosis (ALS), Myelin-associated Oligodendrocyte Basic Protein (MOBP), rs616147
1. Introduction
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurodegenerative disorder that mainly affects the upper and lower motor neurons, while about half of the patients present cognitive decline during the course of the disease [1]. The worldwide prevalence of ALS is estimated approximately between 4 and 5 patients per 100,000 individuals, whereas its incidence corresponds to about 1 to 2 new cases per 100,000 person-years [2]. ALS is more common among males and its prevalence follows an upward trend towards the 7th and 8th decades of life [2]. The mean survival of ALS patients is estimated between 2 and 4 years for most populations [2]. The only FDA-approved treatments; riluzole and edaravone, provide only small benefits regarding the median survival and clinical progress of the disease [3,4].
ALS pathology is characterized by degeneration of motor neurons in the cortex, brainstem motor nuclei and spinal anterior horns [5]. Multiple mechanisms have been associated with potential motor neurotoxicity in ALS; oxidative stress, mitochondrial dysfunction, glutamate-induced excitotoxicity, protein misfolding and aggregation, impaired axonal transportation and microglia-related mechanisms have been incriminated, but a definite conclusion for the underlying pathophysiology of ALS has not been reached [6]. Genetic and environmental parameters, as well as genetic-environmental interactions, are considered to contribute to the overall risk of the disease [7]. About 5–10% of the ALS cases are estimated to be of familial incidence, while the rest of the cases are sporadic [8]. The most important mutations associated with the familial form of the disease are related to the C9orf72 and SOD1 genes, as well as the FUS/TLS and TDP43 RNA binding proteins [6]. Genetic factors are considered to play an important role in the incidence of sporadic ALS too [5]. One previous Genome-wide association study (GWAS) has specifically revealed (among others) an association with a new genetic locus, MOBP (Myelin-associated Oligodendrocyte Basic Protein) at 3p22.1, and particularly the rs616147 Single Nucleotide Polymorphism (SNP) [9].
MOBP, like myelin basic protein (MBP), is produced by oligodendrocytes and is located in the major dense line of Central Nervous System (CNS) myelin [10]. Although it is hypothesized that MOBP contributes to the compacting and stabilization of the myelin sheath through MOBP-MBP interactions, its definite function remains unclear [10]. Oligodendrocytes and myelination processes have a crucial role in several neurodegenerative diseases such as Multiple Sclerosis (MS) [11] and Alzheimer’ s Disease (AD) [12], while MOBP in particular has been associated with both of the aforementioned entities [13,14,15]. Furthermore, there is a relationship between Single Nucleotide Polymorphisms (SNPs) in the MOBP genetic locus and frontotemporal dementia (FTD) [16], a disease strongly related to ALS [1], as well as progressive supranuclear palsy (PSP), an entity of the frontotemporal lobar degeneration (FTLD) spectrum pathology [17].
Oligodendrocytes and myelination are considered important in the pathogenesis of ALS, as well. This argument is supported by changes in the composition of myelin (even demyelination) [18,19] and relevant pathological findings (including dysfunction, degeneration, defective regeneration) in grey matter oligodendrocytes of ALS subjects [20,21]. Given this background, MOBP could be potentially implicated in the pathogenesis of ALS. To date, only the above mentioned GWAS has identified MOBP, and the rs616147 SNP (an intron variant -adenosine-guanosine replacement- of the MOBP gene), as a potentially ALS-associated locus [9]. Therefore, a case-control study was performed to assess the replicability of the association between rs616147 and sporadic ALS in patients of Greek ethnicity.
2. Materials and Methods
A case control design was implemented in order to investigate the effect of MOBP rs616147 on the development of ALS. The study protocol was approved by the Ethics Committee of the University of Thessaly (59295/23-01-2017) and written informed consent was obtained from all the participants. Reporting conforms with the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) reporting guidelines [22].
2.1. Participants and Settings
The present study involved the same participant set as two previously published articles [23,24]. Patients were prospectively and consecutively recruited from the inpatient and outpatient clinics of the Neurology Department of the General University Hospital of Larissa, Central Greece (which is affiliated with the University of Thessaly). The diagnosis of ALS was performed by a consultant neurologist according to the El Escorial criteria [25]. Community-based healthy controls were individually (1:1) matched with cases for the parameters of age (±2 years) and sex. The eligibility criteria are provided in detail below:
2.1.1. Inclusion Criteria for ALS Volunteers
Age > 18 years
Greek ethnicity
Ability to provide informed consent
A diagnosis of Definite sporadic ALS based on the El Escorial criteria
2.1.2. Exclusion Criteria for ALS Volunteers
Personal medical history of other neurodegenerative diseases
Family medical history of Motor Neuron Disease (MND) and FTD
2.1.3. Inclusion Criteria for Healthy Volunteers
Age > 18 years
Greek ethnicity
Individual 1:1 matching for age (±2 years) and sex with the ALS individuals—enrolled from the same community as the cases
Ability to provide informed consent
No history of ALS or other neurological diseases
2.1.4. Exclusion Criteria for Healthy Volunteers
Family medical history of Motor Neuron Disease (MND) and FTD
2.2. DNA Isolation and Genotyping
DNA was extracted using the method of salting out, which has been previously described [26,27,28]. Isolated DNA originated from peripheral blood leucocytes. Collected samples were genotyped for the MOBP rs616147 variant using the TaqMan allele-specific discrimination assays on an ABO PRISM 7900 Sequence Detection System. Analysis of the results was performed with the SDS software (Applied Biosystems, Foster City, CA, USA). The genotype call rate was 99.03% (307/310, 152 ALS patients and 155 healthy controls).
2.3. Additional Data Extraction
For the ALS group, additional data were prospectively collected using standardized data abstraction In the present article emphasis was only placed on age of onset, sex and site of disease onset, categorized as bulbar, limb and mixed onset.
2.4. Outcome Measures and Statistical Analysis
The primary outcome of our study was the investigation of a potential association between MOBP rs616147 and ALS. The effect of MOBP rs616147 on the age of ALS onset was defined as the secondary outcome. Finally, an exploratory analysis was performed to investigate for a potential association between rs616147 and site of ALS onset.
Prior to testing the effect of rs616147 on ALS the study quality was evaluated by testing the healthy controls for the Hardy-Weinberg equilibrium (HWE). The statistical power of our sample was estimated with the CaTS Power Calculator for Genetic Studies (Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA) [29]. The association between rs616147 and ALS was examined using the SNPStats software for the dominant, recessive, co-dominant, over-dominant and log-additive models of inheritance [30]. In case of more than one significant genetic models the degree of dominance (h-index) would be calculated to ‘quantify’ the mode of inheritance [31]. Cox proportional hazards models (unadjusted and adjusted for sex) were used for the examination of the effect of rs616147 on the age of ALS onset (overall and according to the site of ALS onset). A 5% threshold was set for the definition of statistical significance. Both unadjusted and adjusted effect sizes (Odds Ratio -OR-, Hazard Ratio -HR-) and their precision (95% Confidence Interval -95% CI-) are presented. Cox proportional hazards regression was carried out with the IBM SPSS Statistics Software version 23.0 for Windows (SPSS Inc., Chicago, IL, USA). Finally, the association between rs616147 and site of ALS onset (limb or bulbar) was examined using the SNPStats software, for the dominant, recessive, co-dominant, over-dominant and log-additive models of inheritance.
3. Results
All of the patients and controls that were invited to participate in the study responded positively and completed the study processes. A total of 155 patients with definite sporadic ALS and an equal number of age (±2 years) and sex matched healthy controls were recruited. As noted above, the genotype call rate was 99.03%, with a total of 152 ALS patients and 155 healthy controls ultimately having available genetic data. The power of our sample size was slightly above 80% to find a significant association (p < 0.05) between MOBP rs616147 and ALS, given a minor (A) allele frequency of 32% [32], a disease prevalence of 5/100,000 [2], and an estimated relative risk of 1.60. Patient characteristics are presented in Table 1. MOBP rs616147 was determined to be in HWE among healthy participants (p = 1.00). Allelic and genotypic frequencies are provided in Table 2. The minor allele (A) frequencies were 29% and 33% for the cases and controls, respectively.
Table 1.
Assessed Parameters | Measurements |
---|---|
Age (mean years ± SD, median (IQR)) | 63.74 ± 11.30, 65 (57, 72) |
Sex (Female/Male) | 77/78 |
Site of Onset (Bulbar/Spinal/Mixed) | 50/97/8 |
ALS: Amyotrophic Lateral Sclerosis; SD: standard deviation; IQR: interquartile range.
Table 2.
ALS Patients (%) | Healthy Controls (%) | Total Participants (%) | |
---|---|---|---|
Genotypes | 152 | 155 | 307 |
A/A | 17 (11%) | 17 (11%) | 34 (11%) |
G/A | 55 (36%) | 68 (44%) | 123 (40%) |
G/G | 80 (53%) | 70 (45%) | 150 (49%) |
Alleles | 304 | 310 | 614 |
A | 89 (29%) | 102 (33%) | 191 (31%) |
G | 215 (71%) | 208 (67%) | 423 (69%) |
MOBP: Myelin-associated Oligodendrocyte Basic Protein; ALS: Amyotrophic Lateral Sclerosis.
According to the univariate analysis, there was no significant relationship between MOBP rs616147 and ALS (primary outcome measure) with respect to every mode of inheritance; log-additive OR = 0.85 (0.61, 1.19), over-dominant OR = 0.73 (0.46, 1.15), recessive OR = 1.02 (0.50, 2.09), dominant OR = 0.74 (0.47, 1.16), co-dominant OR1 = 0.71 (0.44, 1.14) and co-dominant OR2 = 0.88 (0.42, 1.84) (Table 3).
Table 3.
Mode of Inheritance | Genotype | Odds Ratio (95% Confidence Interval) | p-Value |
---|---|---|---|
Co-dominant | G/G | 1.00 | 0.37 |
G/A | 0.71 (0.44, 1.14) | NA | |
A/A | 0.88 (0.42, 1.84) | NA | |
Dominant | G/G | 1.00 | 0.19 |
G/A-AA | 0.74 (0.47, 1.16) | NA | |
Recessive | G/A-G/G | 1.00 | 0.95 |
A/A | 1.02 (0.50, 2.09) | NA | |
Over-dominant | G/G-A/A | 1.00 | 0.17 |
G/A | 0.73 (0.46, 1.15) | NA | |
Log-additive | - | 0.85 (0.61, 1.19) | 0.35 |
MOBP: Myelin-associated Oligodendrocyte Basic Protein; ALS: Amyotrophic Lateral Sclerosis; NA: not applicable.
Additionally, the effect of rs616147 on the age of ALS onset was investigated (Table 4). Both crude (G/G vs. G/A; HR = 1.12 (0.80, 1.59), G/G vs. A/A; HR = 0.91 (0.54, 1.54)) and sex-adjusted (G/G vs. G/A; HR = 1.11 (0.79, 1.56), G/G vs. A/A; HR = 0.94 (0.55, 1.60)) cox-proportional hazards models provided evidence indicative of no association between rs616147 and age of ALS onset (the effect of sex on the age of ALS onset was determined insignificant; HR = 1.37 (0.96, 1.84)). Subgroup analyses based on the site of onset, reproduced the insignificant associations, both when unadjusted and adjusted for sex (the effect of sex on the age of ALS onset was determined insignificant regarding the limb onset ALS; HR; 1.44, (0.85, 2.44), but significant regarding the bulbar onset ALS; HR = 3.43 (1.29, 9.09), with male sex presenting later onset of the disease) (Table 5).
Table 4.
Genotype | Univariate | Multivariate | ||
---|---|---|---|---|
Hazard Ratio (95% CI) | p-Value | Hazard Ratio (95% CI) | p-Value | |
G/G | 1.00 | NA | 1.00 | NA |
G/A | 1.12 (0.80, 1.59) | 0.51 | 1.11 (0.79, 1.56) | 0.56 |
A/A | 0.91 (0.54, 1.54) | 0.71 | 0.94 (0.55, 1.60) | 0.82 |
MOBP: Myelin-associated Oligodendrocyte Basic Protein; ALS: Amyotrophic Lateral Sclerosis; CI: confidence interval; NA: not applicable.
Table 5.
Genotype | Bulbar Onset | Limb Onset | ||||||
---|---|---|---|---|---|---|---|---|
Univariate | Multivariate | Univariate | Multivariate | |||||
HR (95% CI) | p-Value | HR (95% CI) | p-Value | HR (95%CI) | p-Value | HR (95% CI) | p-Value | |
G/G | 1.00 | NA | 1.00 | NA | 1.00 | NA | 1.00 | NA |
G/A | 1.46 (0.68, 3.14) | 0.34 | 1.67 (0.77, 3.65) | 0.20 | 1.57 (0.91, 2.70) | 0.11 | 1.57 (0.91, 2.72) | 0.10 |
A/A | 1.10 (0.31, 3.87) | 0.88 | 1.29 (0.36, 4.60) | 0.69 | 1.77 (0.77, 4.10) | 0.18 | 1.77 (0.76, 4.09) | 0.18 |
MOBP: Myelin-associated Oligodendrocyte Basic Protein; ALS: Amyotrophic Lateral Sclerosis; HR: Hazard Ratio; CI: Confidence Interval; NA: not applicable.
Finally, no association was found between rs616147 and site of ALS onset (Table 6). Limb onset (vs. bulbar and mixed onset) and bulbar onset (vs. limb and mixed) were separately analysed.
Table 6.
Limb onset vs. Bulbar or mixed onset | Mode of Inheritance | Genotype | Odds Ratio (95% Confidence Interval) | p - Value |
Co-dominant | G/G | 1.00 | 0.72 | |
G/A | 0.77 (0.41, 1.44) | NA | ||
A/A | 0.90 (0.34, 2.39) | NA | ||
Dominant | G/G | 1.00 | 0.45 | |
G/A-AA | 0.80 (0.44, 1.43) | NA | ||
Recessive | G/A-G/G | 1.00 | 0.98 | |
A/A | 1.01 (0.40, 2.58) | NA | ||
Over-dominant | G/G-A/A | 1.00 | 0.43 | |
G/A | 0.79 (0.43, 1.43) | NA | ||
Log-additive | - | 0.88 (0.57, 1.37) | 0.58 | |
Bulbar onset vs. Limb or mixed onset | Mode of Inheritance | Genotype | Odds Ratio (95% Confidence Interval) | p - Value |
Co-dominant | G/G | 1.00 | 0.88 | |
G/A | 0.84 (0.37, 1.87) | NA | ||
A/A | 0.77 (0.20, 2.96) | NA | ||
Dominant | G/G | 1.00 | 0.62 | |
G/A-AA | 0.82 (0.38, 1.76) | NA | ||
Recessive | G/A-G/G | 1.00 | 0.79 | |
A/A | 0.84 (0.23, 3.05) | NA | ||
Over-dominant | G/G-A/A | 1.00 | 0.74 | |
G/A | 0.88 (0.40, 1.90) | NA | ||
Log-additive | - | 0.86 (0.48, 1.55) | 0.62 |
MOBP: Myelin-associated Oligodendrocyte Basic Protein; ALS: Amyotrophic Lateral Sclerosis; NA: not applicable.
4. Discussion
The present case-control study investigated the effect of MOBP rs616147 on the development of ALS, as well as the age and site of ALS onset. Results were compatible with the absence of an underlying connection, regarding all outcome measures. Our findings come in contradiction with the findings of the only other study that examined this association, a previous very large GWAS [9]. The aforementioned study involved data from a great number of ALS cohorts originating from Western countries, but a Greek cohort was not included. Apart from the MOBP rs616147—ALS direct association, a dose-dependent pharmacogenetic interaction has been recently revealed between the A allele of rs616147 and creatine administration to patients with ALS [33].
The functions of MOBP are not yet completely clarified (the functional significance of the rs616147 polymorphism as well), but it appears to participate in myelin compaction and stabilization, through interactions with a structurally similar protein, MBP [10,34,35]. Oligodengroglial dysfunction and myelination disorders are crucial in ALS [36]. Grey matter oligodendrocytes present substantial degeneration in ALS animal models, while precursor cells fail to differentiate and compensate for the losses, ultimately leading to incomplete recovery. The degeneration of oligodendrocytes subsequently causes myelin abnormalities, such as immature myelin sheaths and demyelinated axons, and, finally, leads to axonal degeneration. These pathological findings support the notion that myelination processes (as well as myelination-related loci such as MOBP) are potentially important for ALS. On the other hand, rs616147, which is an intron variant of the MOBP gene, may not directly affect the function of MOBP and by extension myelination, rendering the myelination abnormalities among ALS patients irrelevant.
The association of MOBP with other neurodegenerative diseases is well-established. To date, autoreactivity against MOBP has been detected among individuals with MS [13,15] and MOBP immunoreactivity has been detected in the core of Lewy Bodies (LBs) among patients with Parkinson’ s disease and dementia with LBs [37,38]. MOBP SNPs have been associated with Apolipoprotein-E e4 positive AD [14], FTD (and the severity of white matter degeneration [16,39]), PSP [17,40,41,42,43,44], Corticobasal Degeneration [43,44], while decreased expression of MOBP was revealed in familial Globular Glial Tauopathy [45] and differential DNA methylation of MOBP was shown in Multiple System Atrophy [46]. The implication of MOBP in all these neurodegenerative disorders makes it possible that it is also involved in the pathophysiology of ALS.
The study, nevertheless, failed to demonstrate the existence of an association. The present study was the first to examine this SNP among individuals of Greek ethnicity with sporadic ALS. Therefore, the replicability of our results cannot be tested. At this stage, it is appropriate to recognize that our study has some limitations, which may be accountable for the non-significant results. First, the power of our study was slightly over 80%, which means that there is an almost 20% possibility that we failed to detect a truly significant association. Additionally, both primary and secondary analyses were not adjusted for several potential protective or risk-conferring factors, including both genetic and environmental ones (such as pesticide and metal exposure) [8,47]. Therefore, our results may be significantly affected by the latent effect of an uncontrolled parameter. Moreover, both patients and healthy controls (matched for sex and age ±2 years, selected from the same community) were recruited from a specific geographical area located in Central Greece. The selection of this sample achieved several advantages by possibly matching for several undetermined exposures to a variety of environmental factors (e.g., soil and water metal concentrations) but might have induced an overmatching bias when it comes to genetic parameters. Finally, the conduction of a GWAS is more appropriate than the investigation of a single locus for distinguishing disease vulnerability genes in sporadic maladies. Thus, ideally, a large-scale GWAS with Greek ALS patients should be conducted to evaluate the association of rs616147 with ALS and individuals of Greek ethnicity.
5. Conclusions
It is warranted that additional studies are performed to shed light to the relationship between MOBP rs616147 and ALS. Larger, nationwide studies will better capture the underlying connection among individuals of Greek ancestry, while multi-ethnic studies will reveal the differences among different populations. Finally, it is of substantial importance that future research addresses the latent effect of significant genetic and environmental exposures, that are already considered to confer susceptibility to ALS (at least lead exposure and possibly pesticide exposure [47]). At the same time, the comprehensive collection of additional clinical information, as well as the complete and transparent reporting [48,49], will elucidate the potential connection of rs616147 with the treatment-related and prognostic parameters.
Author Contributions
Conceptualization, E.D. and G.M.H.; methodology, I.L., V.S., E.D. and G.M.H.; software, I.L. and V.S.; validation, A.-M.A., C.B., Z.T., A.N. and D.P.; formal analysis, I.L., V.S., D.P.B., P.L. and G.N.; investigation, I.L., V.S., A.-M.A., C.B., Z.T., A.N. and D.P.; resources, E.D. and G.M.H.; data curation, I.L., V.S., A.-M.A., C.B., Z.T., A.N. and D.P.; writing—original draft preparation, I.L.; writing—review and editing, I.L., V.S., A.-M.A., C.B., Z.T., A.N., D.P., D.P.B., P.L., P.L., G.M.H. and E.D.; supervision, E.D., G.M.H., D.P.B., P.L. and G.N.; project administration, E.D., G.M.H., D.P.B., P.L. and G.N.; funding acquisition, E.D. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by a research grant of the Research Committee of the University of Thessaly, Greece, under 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 of Thessaly.
Informed Consent Statement
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author E.D., upon reasonable request.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Chiò A., Moglia C., Canosa A., Manera U., Vasta R., Brunetti M., Barberis M., Corrado L., D’Alfonso S., Bersano E., et al. Cognitive impairment across ALS clinical stages in a population-based cohort. Neurology. 2019;93:e984–e994. doi: 10.1212/WNL.0000000000008063. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Xu L., Liu T., Liu L., Yao X., Chen L., Fan D., Zhan S., Wang S. Global variation in prevalence and incidence of amyotrophic lateral sclerosis: A systematic review and meta-analysis. J. Neurol. 2019;267:944–953. doi: 10.1007/s00415-019-09652-y. [DOI] [PubMed] [Google Scholar]
- 3.Miller R.G., Mitchell J.D., Moore D.H. Riluzole for amyotrophic lateral sclerosis (ALS)/motor neuron disease (MND) Cochrane Database Syst. Rev. 2012;2012:CD001447. doi: 10.1002/14651858.CD001447.pub3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Abe K., Aoki M., Tsuji S., Itoyama Y., Sobue G., Togo M., Hamada C., Tanaka M., Akimoto M., Nakamura K., et al. Safety and efficacy of edaravone in well defined patients with amyotrophic lateral sclerosis: A randomised, double-blind, placebo-controlled trial. Lancet Neurol. 2017;16:505–512. doi: 10.1016/S1474-4422(17)30115-1. [DOI] [PubMed] [Google Scholar]
- 5.Taylor J.P., Brown R.H., Jr., Cleveland D.W. Decoding ALS: From genes to mechanism. Nature. 2016;539:197–206. doi: 10.1038/nature20413. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.van Es M.A., Hardiman O., Chio A., Al-Chalabi A., Pasterkamp R.J., Veldink J.H., van den Berg L.H. Amyotrophic lateral sclerosis. Lancet. 2017;390:2084–2098. doi: 10.1016/S0140-6736(17)31287-4. [DOI] [PubMed] [Google Scholar]
- 7.Al-Chalabi A., Hardiman O. The epidemiology of ALS: A conspiracy of genes, environment and time. Nat. Rev. Neurol. 2013;9:617–628. doi: 10.1038/nrneurol.2013.203. [DOI] [PubMed] [Google Scholar]
- 8.Zou Z.-Y., Zhou Z.-R., Che C.-H., Liu C.-Y., He R.-L., Huang H.-P. Genetic epidemiology of amyotrophic lateral sclerosis: A systematic review and meta-analysis. J. Neurol. Neurosurg. Psychiatry. 2017;88:540–549. doi: 10.1136/jnnp-2016-315018. [DOI] [PubMed] [Google Scholar]
- 9.van Rheenen W., Registry P., Shatunov A., Dekker A.M., McLaughlin R.L., Diekstra F.P., Pulit S.L., van der Spek R.A., Võsa U., de Jong S., et al. Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis. Nat. Genet. 2016;48:1043–1048. doi: 10.1038/ng.3622. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Montague P., McCallion A.S., Davies R.W., Griffiths I.R. Myelin-Associated Oligodendrocytic Basic Protein: A Family of Abundant CNS Myelin Proteins in Search of a Function. Dev. Neurosci. 2006;28:479–487. doi: 10.1159/000095110. [DOI] [PubMed] [Google Scholar]
- 11.Dulamea A.O. Role of Oligodendrocyte Dysfunction in Demyelination, Remyelination and Neurodegeneration in Multiple Sclerosis. Towar. Anti-Adhes. Ther. Microb. Dis. 2017;958:91–127. doi: 10.1007/978-3-319-47861-6_7. [DOI] [PubMed] [Google Scholar]
- 12.Nasrabady S.E., Rizvi B., Goldman J.E., Brickman A.M. White matter changes in Alzheimer’s disease: A focus on myelin and oligodendrocytes. Acta Neuropathol. Commun. 2018;6:22. doi: 10.1186/s40478-018-0515-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Kaye J.F., de Rosbo N.K., Mendel I., Flechter S., Hoffman M., Yust I., Ben-Nun A. The central nervous sytem-specific myelin oligodendrocytic basic protein (MOBP) is encephalitogenic and a potential target antigen in multiple sclerosis (MS) J. Neuroimmunol. 2000;102:189–198. doi: 10.1016/S0165-5728(99)00168-X. [DOI] [PubMed] [Google Scholar]
- 14.Liu Q.-Y., Yu J.-T., Miao D., Ma X.-Y., Wang H.-F., Wang W., Tan L. An exploratory study on STX6, MOBP, MAPT, and EIF2AK3 and late-onset Alzheimer’s disease. Neurobiol. Aging. 2013;34:1519.e13–1519.e17. doi: 10.1016/j.neurobiolaging.2012.10.004. [DOI] [PubMed] [Google Scholar]
- 15.Holz A., Bielekova B., Martin R., Oldstone M.B.A. Myelin-Associated Oligodendrocytic Basic Protein: Identification of an Encephalitogenic Epitope and Association with Multiple Sclerosis. J. Immunol. 2000;164:1103–1109. doi: 10.4049/jimmunol.164.2.1103. [DOI] [PubMed] [Google Scholar]
- 16.Irwin D.J., McMillan C.T., Suh E., Powers J., Rascovsky K., Wood E.M., Toledo J.B., Arnold S.E., Lee V.M.-Y., Van Deerlin V.M., et al. Myelin oligodendrocyte basic protein and prognosis in behavioral-variant frontotemporal dementia. Neurology. 2014;83:502–509. doi: 10.1212/WNL.0000000000000668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Höglinger G., Melhem N.M., Dickson D.W., Sleiman P.M.A., Wang L.-S., Klei L., Rademakers R., De Silva R., Litvan I., Riley D.E., et al. Identification of common variants influencing risk of the tauopathy progressive supranuclear palsy. Nat. Genet. 2011;43:699–705. doi: 10.1038/ng.859. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Niebroj-Dobosz I., Rafałowska J., Fidziańska A., Gadamski R., Grieb P. Myelin composition of spinal cord in a model of amyotrophic lateral sclerosis (ALS) in SOD1G93A transgenic rats. Folia Neuropathol. 2007;45:236–241. [PubMed] [Google Scholar]
- 19.Zhou T., Ahmad T.K., Gozda K., Truong J., Kong J., Namaka M. Implications of white matter damage in amyotrophic lateral sclerosis. Mol. Med. Rep. 2017;16:4379–4392. doi: 10.3892/mmr.2017.7186. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Philips T., Bento-Abreu A., Nonneman A., Haeck W., Staats K., Geelen V., Hersmus N., Küsters B., Van Den Bosch L., Van Damme P., et al. Oligodendrocyte dysfunction in the pathogenesis of amyotrophic lateral sclerosis. Brain. 2013;136:471–482. doi: 10.1093/brain/aws339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Kang S.H., Li Y., Fukaya M., Lorenzini I., Cleveland D., Ostrow L., Rothstein J.D., Bergles D.E. Degeneration and impaired regeneration of gray matter oligodendrocytes in amyotrophic lateral sclerosis. Nat. Neurosci. 2013;16:571–579. doi: 10.1038/nn.3357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Von Elm E., Altman D.G., Egger M., Pocock S.J., Gotzsche P.C., Vandenbroucke J.P., STROBE Initiative The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for reporting observational studies. Int. J. Surg. 2014;12:1495–1499. doi: 10.1016/j.ijsu.2014.07.013. [DOI] [PubMed] [Google Scholar]
- 23.Siokas V., Karampinis E., Aloizou A.-M., Mentis A.-F.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. 2021;42:175–182. doi: 10.1007/s10072-020-04535-x. [DOI] [PubMed] [Google Scholar]
- 24.Dardiotis E., Karampinis E., Siokas V., Aloizou A.-M., Rikos D., Ralli S., Papadimitriou D., Bogdanos D., Hadjigeorgiou G.M. ERCC6L2 rs591486 polymorphism and risk for amyotrophic lateral sclerosis in Greek population. Neurol. Sci. 2019;40:1237–1244. doi: 10.1007/s10072-019-03825-3. [DOI] [PubMed] [Google Scholar]
- 25.Ludolph A., Drory V., Hardiman O., Nakano I., Ravits J., Robberecht W., Shefner J. WFN Research Group On ALS/MND A revision of the El Escorial criteria—2015. Amyotroph. Lateral Scler. Front. Degener. 2015;16:291–292. doi: 10.3109/21678421.2015.1049183. [DOI] [PubMed] [Google Scholar]
- 26.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. Neuromol. Med. 2016;19:69–80. doi: 10.1007/s12017-016-8429-3. [DOI] [PubMed] [Google Scholar]
- 27.Siokas V., Aslanidou P., Aloizou A.-M., Peristeri E., Stamati P., Liampas I., Arseniou S., Drakoulis N., Aschner M., Tsatsakis A., et al. Does the CD33 rs3865444 Polymorphism Confer Susceptibility to Alzheimer’s Disease? J. Mol. Neurosci. 2020;70:851–860. doi: 10.1007/s12031-020-01507-w. [DOI] [PubMed] [Google Scholar]
- 28.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. doi: 10.1007/s12031-020-01553-4. [DOI] [PubMed] [Google Scholar]
- 29.Skol A.D., Scott L.J., Abecasis G., Boehnke M. Joint analysis is more efficient than replication-based analysis for two-stage genome-wide association studies. Nat. Genet. 2006;38:209–213. doi: 10.1038/ng1706. [DOI] [PubMed] [Google Scholar]
- 30.Solé X., Guinó E., Valls J., Iniesta R., Moreno V. SNPStats: A web tool for the analysis of association studies. Bioinformatics. 2006;22:1928–1929. doi: 10.1093/bioinformatics/btl268. [DOI] [PubMed] [Google Scholar]
- 31.Zintzaras E., Santos M. Estimating the mode of inheritance in genetic association studies of qualitative traits based on the degree of dominance index. BMC Med. Res. Methodol. 2011;11:171. doi: 10.1186/1471-2288-11-171. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Yates A.D., Achuthan P., Akanni W., Allen J., Alvarez-Jarreta J., Amode M.R., Armean I.M., Azov A.G., Bennett R., Bhai J., et al. Ensembl 2020. Nucleic Acids Res. 2020;48:D682–D688. doi: 10.1093/nar/gkz966. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Van Eijk R.P.A., Eijkemans M.J.C., Nikolakopoulos S., Jansen M.D., Westeneng H.-J., Van Eijk K.R., Van Der Spek R.A.A., Van Vugt J.J.F.A., Piepers S., Groeneveld G.-J., et al. Pharmacogenetic interactions in amyotrophic lateral sclerosis: A step closer to a cure? Pharmacogenom. J. 2020;20:220–226. doi: 10.1038/s41397-019-0111-3. [DOI] [PubMed] [Google Scholar]
- 34.Montague P., Kirkham D., McCallion A.S., Davies R., Kennedy P.G., Klugmann M., Nave K.-A., Griffiths I.R. Reduced levels of a specific myelin-associated oligodendrocytic basic protein isoform in shiverer myelin. Dev. Neurosci. 1999;21:36–42. doi: 10.1159/000017364. [DOI] [PubMed] [Google Scholar]
- 35.Yamamoto Y., Yoshikawa H., Nagano S., Kondoh G., Sadahiro S., Gotow T., Yanagihara T., Sakoda S. Myelin-associated oligodendrocytic basic protein is essential for normal arrangement of the radial component in central nervous system myelin. Eur. J. Neurosci. 1999;11:847–855. doi: 10.1046/j.1460-9568.1999.00490.x. [DOI] [PubMed] [Google Scholar]
- 36.Nonneman A., Robberecht W., Bosch L.V.D. The role of oligodendroglial dysfunction in amyotrophic lateral sclerosis. Neurodegener. Dis. Manag. 2014;4:223–239. doi: 10.2217/nmt.14.21. [DOI] [PubMed] [Google Scholar]
- 37.Kon T., Tanji K., Mori F., Kimura A., Kakita A., Wakabayashi K. Immunoreactivity of myelin-associated oligodendrocytic basic protein in Lewy bodies. Neuropathology. 2019;39:279–285. doi: 10.1111/neup.12564. [DOI] [PubMed] [Google Scholar]
- 38.Siokas V., Aloizou A., Liampas I., Bakirtzis C., Tsouris Z., Sgantzos M., Liakos P., Bogdanos D.P., Hadjigeorgiou G.M., Dardiotis E. Myelin-associated oligodendrocyte basic protein rs616147 polymorphism as a risk factor for Parkinson’s disease. Acta Neurol. Scand. 2021 doi: 10.1111/ane.13538. [DOI] [PubMed] [Google Scholar]
- 39.McMillan C.T., Toledo J.B., Avants B.B., Cook P.A., Wood E.M., Suh E., Irwin D.J., Powers J., Olm C., Elman L., et al. Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration. Neurobiol. Aging. 2014;35:1473–1482. doi: 10.1016/j.neurobiolaging.2013.11.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Allen M., Burgess J.D., Ballard T., Serie D., Wang X., Younkin C.S., Sun Z., Kouri N., Baheti S., Wang C., et al. Gene expression, methylation and neuropathology correlations at progressive supranuclear palsy risk loci. Acta Neuropathol. 2016;132:197–211. doi: 10.1007/s00401-016-1576-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Sanchez-Contreras M.Y., Kouri N., Cook C.N., Serie D.J., Heckman M.G., Finch N.A., Caselli R.J., Uitti R.J., Wszolek Z.K., Graff-Radford N., et al. Replication of progressive supranuclear palsy genome-wide association study identifies SLCO1A2 and DUSP10 as new susceptibility loci. Mol. Neurodegener. 2018;13:37. doi: 10.1186/s13024-018-0267-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Chen Z., Chen J.A., Shatunov A., Jones A., Bs S.N.K., Huang A.Y., Lawrence L., Lowe J.K., Lewis C., Payan C.A.M., et al. Genome-wide survey of copy number variants finds MAPT duplications in progressive supranuclear palsy. Mov. Disord. 2019;34:1049–1059. doi: 10.1002/mds.27702. [DOI] [PubMed] [Google Scholar]
- 43.Yokoyama J.S., International FTD-Genomics Consortium (IFGC) Karch C., Fan C.C., Bonham L.W., Kouri N., Ross O., Rademakers R., Kim J., Wang Y., et al. Shared genetic risk between corticobasal degeneration, progressive supranuclear palsy, and frontotemporal dementia. Acta Neuropathol. 2017;133:825–837. doi: 10.1007/s00401-017-1693-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Kouri N., Ross O., Dombroski B., Younkin C.S., Serie D.J., Soto-Ortolaza A., Baker M., Finch N.C.A., Yoon H., Kim J., et al. Genome-wide association study of corticobasal degeneration identifies risk variants shared with progressive supranuclear palsy. Nat. Commun. 2015;6:7247. doi: 10.1038/ncomms8247. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Ferrer I., Benito P.A., Zelaya M.V., Aguirre M.E.E., Carmona M., Ausín K., Lachén-Montes M., Fernández-Irigoyen J., Santamaría E., Del Rio J.A. Familial globular glial tauopathy linked to MAPT mutations: Molecular neuropathology and seeding capacity of a prototypical mixed neuronal and glial tauopathy. Acta Neuropathol. 2020;139:735–771. doi: 10.1007/s00401-019-02122-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bettencourt C., Foti S.C., Miki Y., Botía J.A., Chatterjee A., Warner T.T., Revesz T., Lashley T., Balazs R., Vire E., et al. White matter DNA methylation profiling reveals deregulation of HIP1, LMAN2, MOBP, and other loci in multiple system atrophy. Acta Neuropathol. 2020;139:135–156. doi: 10.1007/s00401-019-02074-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Belbasis L., Bellou V., Evangelou E. Environmental Risk Factors and Amyotrophic Lateral Sclerosis: An Umbrella Review and Critical Assessment of Current Evidence from Systematic Reviews and Meta-Analyses of Observational Studies. Neuroepidemiology. 2016;46:96–105. doi: 10.1159/000443146. [DOI] [PubMed] [Google Scholar]
- 48.Liampas I., Chlinos A., Siokas V., Brotis A., Dardiotis E. Assessment of the reporting quality of RCTs for novel oral anticoagulants in venous thromboembolic disease based on the CONSORT statement. J. Thromb. Thrombolysis. 2019;48:542–553. doi: 10.1007/s11239-019-01931-9. [DOI] [PubMed] [Google Scholar]
- 49.Kodounis M., Liampas I.N., Constantinidis T.S., Siokas V., Mentis A.-F.A., Aloizou A.-M., Xiromerisiou G., Zintzaras E., Hadjigeorgiou G.M., Dardiotis E. Assessment of the reporting quality of double-blind RCTs for ischemic stroke based on the CONSORT statement. J. Neurol. Sci. 2020;415:116938. doi: 10.1016/j.jns.2020.116938. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author E.D., upon reasonable request.