An elevated level of homocysteine is a risk factor for vascular diseases, brain atrophy and several other disorders. The 1298A>C polymorphism (rs1801131) leads to mildly decreased MTHFR activity. Previously, it was observed that the MTHFR 1298A>C polymorphism in combined analysis with the MTHFR 677C>T polymorphism increases homocysteine levels. However, conflicting results on its relation to ischaemic stroke in children can be found. We conducted a meta-analysis to analyse possible connections between the MTHFR 1298A>C polymorphism and ischaemic stroke in paediatric patients. We identified available data published before December 2016 using appropriate keywords and searching PubMed as well as the references cited in the found articles. Eight case–control studies were included in the meta-analysis (426 children with stroke and 778 controls). Statistical analyses were made using R and Comprehensive Meta-Analysis softwares to investigate the impact of polymorphism in four models: dominant, recessive, additive and allelic. No publication bias was observed in the meta-analysis. We demonstrated no relationship between the 1298A>C polymorphism and ischaemic stroke in children in the case of recessive, additive and allelic models. However, the results of the dominant model analysis should be treated with caution due to the sensitivity analysis results. After omitting one of the included study, we observed a significant association between the carriers of the MTHFR C allele (cases with AC + CC genotypes) and ischaemic stroke in children (OR 1.35 95% CI 1.02–1.79, p = 0.035 in a fixed effects model). In conclusion, the 1298A>C polymorphism in the MTHFR gene is not a risk factor for ischaemic stroke in paediatric patients.
Introduction
Neurologic consequences of arterial ischaemic stroke (AIS) in children or young adults, especially under 45 years of age, are devastating. The most prevalent stroke outcomes are: motor impairment (hemiparesis is observed most commonly), speech impairment, intellectual delay, seizures and death [1, 2]. The problem of these deficits is noteworthy due to their effect on the daily activity of patients. However, it is not possible to find the aetiology of AIS in one-third of young cases under the age of 40 [3]. In children from Saudi Arabia, the aetiological factor of AIS was undetermined in 65% of cases [4].
It is observed that the level of homocysteine (HCys) plays an important role in the functioning of endothelial cells. An elevated level of HCys is a risk factor for vascular diseases, brain atrophy as well as pregnancy complications, migraine or neuropsychiatric disorders [5‐8]. Several common polymorphisms in the genes encoding enzymes involved in homocysteine metabolism are suggested to be associated with the development of AIS, both in adults and children. The gene encoding methylenetetrahydrofolate reductase, located in 1p36.22, is the most studied. The 677C>T polymorphism in the MTHFR gene leads to the decreased activity of the enzyme and elevated HCys levels [9]. On the other hand, the 1298A>C polymorphism (rs1801131) results in mildly decreased MTHFR activity [10].
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A previous meta-analysis of available data [11] confirmed the association between the carrier state of the 677T allele in the MTHFR gene and AIS in children. However, the role of another common MTHFR polymorphism, 1298A>C in paediatric stroke, is still uncertain. Conflicting results of the studies on the relationship between the 1298A>C polymorphism and AIS, both in children and adults, can be found [12‐17]. Previously, it was observed that the MTHFR 1298A>C polymorphism in combined analysis with the 677C>T polymorphism increased homocysteine levels as well as lowered plasma folate levels [18]. However, some studies do not confirm such a relationship [19]. In addition, studies on paediatric cases with AIS are performed on small numbers of patients due to the rarity of AIS in this age group and patients are mostly recruited from one medical centre, which may influence the power of results.
The present study aimed to analyse possible connections between the MTHFR 1298A>C polymorphism and AIS in paediatric patients using a meta-analysis of available data addressing this association in children.
Methods
We identified available data published before December 2016 on the relationship between the 1298A>C polymorphism in the MTHFR gene and AIS in children and adolescents. Two of the authors searched PubMed twice. The references cited in the found articles were also searched in order to find other published articles on the topic. The language of publication was limited to English. We used the following keywords: “MTHFR polymorphism” or “1298A>C polymorphism”, “arterial ischemic stroke” or “ischemic stroke” or “cerebral infarct”, “paediatric” or “children”. We adopted the following inclusion criteria for the present meta-analysis: (a) case–control study, (b) children (including neonates and adolescents) as the study population, (c) AIS confirmed by magnetic resonance imaging or computed tomography and (d) article in English. The exclusion criteria were as follows: (a) lack of genotype or allele frequencies, (b) study designed as not a case–control study (conference proceedings, review articles, case reports, meta-analyses or animal studies), (c) outcome definition other than AIS, (d) patient groups overlapped in previous publications (when several articles of the same author were available, we included only the most recent one or the article with the largest number of cases). The searching process is shown in Fig. 1.
Fig. 1
Flow chart showing process of searching for the articles
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Finally, eight case–control studies were included in the meta-analysis with a total number of 426 paediatric patients with AIS and 778 control subjects [12‐14, 20‐24].
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Data extraction
Two independent authors extracted the following information from each study according to the inclusion criteria: first author’s name, year of publication, population, genotype distribution, sample sizes, age of cases and control subjects and genotyping method. Additionally, Hardy–Weinberg equilibrium (HWE) was calculated according to the frequency of genotypes in controls for each study.
Methodological quality
Two of the authors assessed independently the methodological quality of the included studies using the Newcastle–Ottawa scale (NOS) for case–control studies [25]. The following three components of each study were analysed: selection (Is the case definition adequate?; Representativeness of the cases; Selection of Controls; Definition of Controls), comparability (Comparability of cases and controls on the basis of the design or analysis) and outcome assessment (Ascertainment of exposure; Same method of ascertainment for cases and controls; Non-Response rate). Quality scores ranged from 0 to 9. The articles which obtained 5 stars or more were considered as high-quality studies, the others as low-quality studies. For these methodological low-quality reports, we adopted the suggestion of Minelli et al. [26] not to exclude studies that deviated from Hardy–Weinberg equilibrium when no other grounds for doubting the quality of the study were present. Thus we checked the low-quality studies according to the NOS scale for HWE and performed sensitivity analysis by deleting a particular study and reviewing the power of pooled odds ratio (OR). When the pooled OR was stable, we did not ultimately exclude the study from the meta-analysis.
Statistical analyses
Statistical analyses were performed using R software (version 3.3.1 with “meta” package, version 4.5-0; The R Foundation for Statistical Computing Platform) and CMA software (version 3.3.070, NIH, USA). The pooled OR with the 95% confidence interval (CI) was calculated to determine the strength of association between the genetic polymorphism and AIS.
We used the random effects method (DerSimonian–Laird) in the case of significant heterogeneity or the fixed effects method (Mantel–Haenszel) in other cases to calculate the pooled OR with the 95% CI. The assessment of heterogeneity was based on the results of studies. We analysed the association between the MTHFR 1298A>C polymorphism in AIS in four models: dominant (AC + CC vs. AA), recessive (CC vs. AA + AC), additive (CC vs. AA) and allelic (C allele vs. A allele).
Publication bias was analysed using the Egger’s regression asymmetry test. The p value below 0.05 was considered statistically significant. The data were put into the statistical software independently by two authors, and the obtained results were the same. Thus, we are sure that the performed statistical analysis was adequate and reliable.
Results
Study characteristics
Characteristics of the eight included studies are shown in Table 1. All genotype frequencies in control subjects from the included studies were in agreement with HWE. Caucasians were the most common race. In order to genotype the MTHFR 1298A>C polymorphism, PCR–RFLP analysis was used in four of the studies [12, 13, 20, 21], CVD StripAssays in two studies [14, 22] and Taqman PCR in one study [23]. The genotyping method was not specified in one of the studies [24]. The largest groups of AIS patients were recruited by Balcerzyk et al. [12], Herak et al. [14] and Komitopoulou et al. [22], whereas the fewest patients were recruited by Gelfand et al. [23] and Morita et al. [24]. The largest group of control subjects was analysed in the study by Sirachainan et al. [21] and the lowest one in the study by Biswas et al. [13].
Table 1
Characteristics of the studies included in the meta-analysis analysing the relationship between the MTHFR 1298A>C polymorphism and AIS in children
Study (year)
Paediatric patients with AIS
Controls
Genotyping method
HWE (for controls) (I2; p)
Quality (Newcastle–Ottawa scale)
Age
Population
N
MTHFR 1298A>C genotypes
Age
Population
N
MTHFR 1298A>C genotypes
AA
AC
CC
AA
AC
CC
Balcerzyk et al. [2015]
8.8 ± 5.6 (years)
Poland
88
51
30
7
NSa
Poland
111
53
47
11
PCR–RFLP
0.015; 0.90
5
Biswas et al. [2009]
Below 15 years
India
58
38
14
6
NSa
India
58
50
8
0
PCR–RFLP
1.426; 0.23
6
Akar et al. [2001]
10 months–18 years
Turkey
46
13
27
6
NS
Turkey
68
31
32
5
PCR–RFLP
0.712; 0.39
5
Sirachainan et al. [2008]
< 18 years
Thailand
44
22
19
3
< 18 years
Thailand
164
82
69
13
PCR–RFLP
0.083; 0.77
5
Komitopoulou et al. [2006]
2–5400 days
Greece
89
35
45
9
3–5200 days
Greece
103
50
40
13
CVD StripAssays (PCR and reverse hybridization)
1.206; 0.27
5
Herak et al. [2016]
0.01–16.7 years
Croatia
73
34
33
6
≤ 18 years
Croatia
100
52
39
9
CVD StripAssays
(PCR and reverse hybridization)
0.185; 0.67
5
Gelfand et al. [2013]
Up to 28 days of life
USA
13
4
7
2
Infants
USA
84
39
41
4
Taqman PCR
2.760; 0.09
7
Morita et al. [2009]
NS (children)
USA
15
12
3
0
NS
USA
90
41
36
13
NS
1.175; 0,28
4
AIS arterial ischaemic stroke, HWE Hardy–Weinberg equilibrium, NS not specified
aaged-matched to cases
1298A>C polymorphism and childhood stroke in the dominant model
We analysed the effect of its association with AIS in four models: dominant, recessive, additive and allelic. As for the dominant model (AC + CC vs. AA), we observed significant heterogeneity between the studies (I2 = 62.64%, p = 0.009). Therefore, the random effects model was used to analyse this combination (p = 0.395, OR 1.21 95% CI 0.78–1.89) (Fig. 2a). For the analysed dominant model, the Egger’s test did not reveal the presence of publication bias (R = 2.23, p (two tailed) = 0.907) (Fig. 3a).
Fig. 2
Forest plots of association between the 1298A>C polymorphism and arterial ischaemic stroke in children in four statistical models: dominant (a), recessive (b), additive (c) and allelic (d)
Fig. 3
Funnel plots of the 1298A>C polymorphism in the MTHFR gene in the studies included in the present meta-analysis. a dominant model; b recessive model; c additive model; and d allelic model
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1298A>C polymorphism and childhood stroke in the recessive model
In the recessive model (CC vs. AC + AA), we observed no significant heterogeneity between the studies (I2 = 13.93%, p = 0.321). Therefore, the fixed effects model was used to analyse this combination (p = 0.777, OR 1.06 95% CI 0.69–1.63) (Fig. 2b). For the analysed recessive model, the Egger’s test did not reveal the presence of publication bias (R = 1.07, p (two tailed) = 0.299) (Fig. 3b).
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1298A>C polymorphism and childhood stroke in the additive model
When analysing the additive model (CC vs. AA), no significant heterogeneity between the studies was also observed (I2 = 35.33%, p = 0.146). In this case, the fixed effects model was again used for analysis (p = 0.552, OR 1.14 95% CI 0.74–1.77) (Fig. 2c). In the case of the additive model, the Egger’s test did also not reveal the presence of publication bias (R = 1.29, p (two tailed) = 0.392) (Fig. 3c).
1298A>C polymorphism and childhood stroke in the allelic model
In the allelic model (C allele vs. A allele), significant heterogeneity between the studies was observed (I2 = 73.91%, p < 0.001), so the random effects model was used for calculating the pooled OR (p = 0.593, OR 1.12 95% CI 0.74–1.68) (Fig. 2d). There was again no publication bias calculated in the Egger’s test (R = 2.46, p (two tailed) = 0.730) (Fig. 3d). In addition, we also made a heterozygote comparison (AC vs. AA), but no relationship with AIS was observed.
Sensitivity analysis
Sensitivity analysis, by sequential exclusion of each study, was included in the meta-analysis to assess the stability of the results. We found no change in the OR value in the case of the recessive, additive and allelic models. However, in the dominant model after omitting the study of Balcerzyk et al. [12], we observed a significant association between the carriers of the MTHFR C allele (cases with AC + CC genotypes) and AIS in children (OR 1.35 95% CI 1.02–1.79, p = 0.035 in the fixed effects model).
Discussion
The 1298A>C polymorphism in the MTHFR gene leads to a glutamate to alanine substitution within the C-terminal regulatory domain of the MTHF reductase and to reduced enzyme activity. In turn, the 677C>T polymorphism concerns the regions encoding the N-terminal catalytic domain of the protein, which corresponds to a greater reduction in the enzyme activity [10]. Data of Castro et al. [27] showed that the 1298CC as well as 677TT homozygotes might be potential risk factors for disease states associated with DNA hypomethylation status. Reduced MTHFR activity is related to an increased level of homocysteine which may affect the reduction in DNA methylation and hence be the real cause of cardiovascular diseases [28].
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Our meta-analysis, based on a sizeable group of children suffering from AIS and healthy age-matched controls, demonstrated that the 1298A>C polymorphism in the MTHFR gene is not related to paediatric ischaemic stroke in the following models: recessive, additive and allelic. The analysis performed on the dominant model also showed lack of association, but we observed some instability of the results during the sensitivity analysis, and thus the data must be treated with some caution. An earlier meta-analysis including 2361 adult patients with AIS demonstrated that the 1298A>C polymorphism is related to the disease and the strongest association was observed in the case of the additive model [29]. With regard to ethnicity, the authors found an especially strong association in Asians. Similarly, the meta-analysis by Lv et al. [30] showed the strongest relationship between the 1298A>C polymorphism and AIS in the case of the additive model when the Asian subgroup was analysed. However, the authors analysed studies in paediatric and adult patients jointly.
During the searching process, we also took into consideration a study performed in 33 paediatric patients with AIS from Canada, in which the authors found an association between the 1298A>C polymorphism and stroke [31]. However, we have some doubts about the genotype distribution calculated according to the frequencies presented in the paper, so finally this study was excluded. In another study analysing the MTHFR 1298A>C polymorphism in AIS in the group of paediatric patients from the USA, no genotype distribution of the 1298A>C polymorphism was found [32]. We contacted the authors and got some lacking information about this distribution in the case of AIS patients but not in controls. Thus, this study was also excluded from the final analysis.
Available data indicate that AIS is more common in boys [33]. There are some data showing that the 677C>T polymorphism in the MTHFR gene may be related to an especially high risk of AIS in boys in Polish population in comparison with girls [34]. In contrast, higher, although not significant, prevalence of the 677T allele was observed in girls with migraine (with aura or without aura) when compared to boys [35]. Unfortunately, none of the studies included to the present meta-analysis show full data of genotype distribution; thus, we were not able to analyse sex subgroups to observe whether a similar relationship concerns the 1298A>C polymorphism. The study by Herak et al. [14] showed no relationship between the MTHFR 1298A>C polymorphism and AIS when considered alone. However, some specific combinations of MTHFR 1298 genotypes with the Factor V Leiden, MTHFR 677C>T polymorphism and FV HR2 polymorphism were observed. The authors noticed that the presence of the 1298AC genotype in the carriers of Factor V Leiden mutation extremely increased the risk of perinatal stroke (OR 16.5) [14]. This finding supports the assumption that the association analysis of a single gene in a particular disease is insufficient. Several polymorphisms with specific gene–gene interactions should be analysed in case–control studies to draw meaningful conclusions. However, most case–control studies focus on the analysis of a single genetic polymorphism. Thus, in a meta-analysis it is not possible to perform analyses of specific interactions between genes, since it would require very precise data from each included study. It is also very important to know the other coexisting factors (clinical, biochemical and environmental) which may increase the impact of genes on the disease aetiology. Many researchers have raised the issue that the association between two or more genetic risk factors or the association between genes and clinical risk factors may have greater impact on paediatric stroke than a single genetic polymorphism [36, 37]. Previously, in the study by Lanthier et al. [38], children with AIS and multiple risk factors were at greater risk of recurrent stroke than children with one risk factor. One of the studies included in the meta-analysis analysed the transmission of the 1298C allele from parents to affected children [12]. This issue is important since young adults with parental history of coronary heart disease (CHD) are more at risk of cerebrovascular diseases compared to controls without parental history of CHD [39].
The study by Giusti et al. [40] was conducted on a large population of adults with AIS (n = 501) and control subjects (n = 1211) and analysed 58 polymorphisms in 17 genes involved in the metabolism of methionine. The association of a single polymorphism with AIS as well as the association between haplotypes and AIS and possible effects of a haplotype combination between the genes were studied. The authors observed that the 677C>T and 1298A>C polymorphisms in the MTHFR gene analysed separately have no impact on the risk of ischaemic stroke in the analysed group of adults, whereas the 677C>T polymorphism was significantly related to increased levels of homocysteine. There were also no associations between the MTHFR haplotypes and stroke [40].
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We are aware of some limitations of the present meta-analysis. First of all, there is no homocysteine level analysis since previously it was hypothesized that the presence of MTHFR polymorphisms without elevated levels of homocysteine had no influence on paediatric stroke [41]. Second, there is great variation in the number of recruited paediatric patients in each study (from several patients to a few dozen). A small number of examined patients in a single study is due to the rarity of AIS (the prevalence of AIS in children is estimated at about three cases per year per 100 000 children). Moreover, there is probably some selection bias between the studies since the recruited patients were of different ethnic origin and with possible genetic differences.
Analysis of homocysteine levels in correlation with the MTHFR 1298A>C polymorphism would give some important results since it has been proven that hyperhomocysteinemia is an established risk factor for premature cardiovascular diseases caused by endothelial dysfunction [42]. Homocysteine levels can be reduced from 25 to 30% using folic acid, and supplementation with vitamin B12 provides an additional 7% reduction [43]. Arpino et al. [44] suggested that early folate supplementation before and during pregnancy could reduce the risk of brain damage due to foetal/perinatal stroke. For practical reasons, establishing homocysteine levels in paediatric patients with the 1298A>C polymorphism and administration of folic acid and cobalamin could also prevent some cardiovascular events in the future [45].
In conclusion, the 1298A>C polymorphism in the MTHFR gene is not related to paediatric arterial ischaemic stroke.
Compliance with ethical standards
Conflict of interest
The authors declare no conflict of interest.
Ethical approval
Not required since previously published data were analysed.
Informed consent
No patient was recruited to the present study.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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