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. 2015 Mar 6;5:8813. doi: 10.1038/srep08813

A potential interaction between COMT and MTHFR genetic variants in Han Chinese patients with bipolar II disorder

Liang-Jen Wang 1, Sheng-Yu Lee 2,3, Shiou-Lan Chen 3,7, Yun-Hsuan Chang 4, Po See Chen 3, San-Yuan Huang 8, Nian-Sheng Tzeng 8, Kao Chin Chen 3, I Hui Lee 3, Tzu-Yun Wang 3, Yen Kuang Yang 3, Ru-Band Lu 3,4,5,6,9,a
PMCID: PMC4351536  PMID: 25744938

Abstract

Bipolar II disorder (BP-II), characterized by recurrent dysregulation of mood, is a serious and chronic psychiatric illness. However, BP-II is commonly under-recognized, even in psychiatric settings. Because dopaminergic disturbance is thought to be involved in the development of bipolar disorder (BPD), it seems essential to investigate dopamine-related genes like the catechol-O-methyltransferase (COMT) gene, which are involved in dopamine metabolism, and the methylenetetrahydrofolate reductase (MTHFR) gene, which may affect COMT methylation and COMT function. The current study examined the association and interaction of the COMT Val158Met and MTHFR C677T variants with BP-II. Nine hundred seventy-eight participants were recruited: 531 with BP-II and 447 healthy controls. The genotypes of the COMT and MTHFR polymorphisms were determined using a polymerase chain reaction-restriction fragment length polymorphism analysis. Logistic regression analysis showed a significant interaction effect of the COMT Val158Met Val/Val genotype and the MTHFR C677T C/T + T/T genotype (P = 0.039) for the protective effect on the odds of developing BP-II. Our findings support preliminary evidence that the COMT and MTHFR genes interact in BP-II, and they imply the connection of both dopaminergic pathways and methylation pathways in the pathogenesis of BP-II.


Bipolar disorder (BPD), also known as manic-depressive illness, is characterized by periods of elevated mood and periods of depression. The two most commonly known clinical subtypes are bipolar-I disorder (BP-I) and bipolar-II disorder (BP-II). BP-II, characterized by recurrent depressive and hypomanic episodes, is frequently regarded as a “milder form of BP-I”1. It is believed that BP-II is greatly under-diagnosed and frequently misdiagnosed in clinical settings2,3, because patients usually seek treatment during depressive episodes but perceive hypomanic episodes as positive experiences1,4. In long-term follow-up studies, patients with BP-II had a more chronic course, more mood episodes, a higher suicidal risk, and shorter inter-episodes than did patients with BP-I5,6. Moreover, misdiagnosing BP-II as BP-I or unipolar major depressive disorder leads to inefficacious treatment and a substantial delay in the diagnosis of BP-II, which may increase the suicide rate in BP-II patients7,8.

Genes that affect the dopaminergic pathway—COMT, for example—gene, have been suggested as susceptible genes for BPD9,10,11. Primarily in the frontal cortex12, the COMT enzyme affects the degradation of dopamine and norepinephrine13. The COMT gene is located on chromosome 22q11. There is, in codon 158, one functional single nucleotide polymorphism (SNP) (rs4680), which causes an amino acid shift from valine to methionine (Val158Met)14. The Val allele encodes for enzymatic activity 3–4 times higher than that of the Met allele; therefore, the SNP distributes trimodal enzymatic activity: low (Met/Met genotype), intermediate (Val/Met genotype), and high (Val/Val genotype)15. The low-activity Met allele has been reported to increase susceptibility to BPD9, which suggests that the disorder is characterized by a high-dopamine state. In addition, the COMT Val158Met polymorphism is associated with rapid cycling in BPD14,16. However, whether the interaction of the COMT Val158Met polymorphism with other dopaminergic genes is associated with the risk of BP-II warrants additional studies.

Methylenetetrahydrofolate reductase (MTHFR) is a crucial enzyme involved in one-carbon metabolism17. The reduction of MTHFR activity may compromise DNA methylation18. Therefore, genetic variations of the MTHFR gene might affect COMT methylation and COMT function. Decreased MTHFR activity has been associated with other psychiatric disorders, for example, schizophrenia19 and affective disorders20. The C677T (rs1801133) variant is a common functional SNP in MTHFR; it leads to a substitution of alanine with valine, which reduces enzymatic activity: The TT homozygous variants have only 30% activity and the TC heterozygous variants have only 65% enzyme activity compared with the CC genotype21. The low-functioning 677T allele of the common SNP of MTHFR, 677C > T, has been significantly associated with the risk of BPD22,23,24. However, others have reported borderline or inconsistent results25,26.

The well-known theory of the inverted U-shaped relationship between dopamine transmission and prefrontal cortex activation assumes that dopamine signaling either below or above an optimal range can be disadvantageous and be involved in neuropsychiatric pathophysiology27,28. Specifically, both the COMT Val and MTHFR T alleles tend to decrease dopamine below optimal levels (left side of the inverted-U curve), and the COMT Met and MTHFR C alleles tend to increase dopamine above optimal levels (right side of the curve). This theory provides a context for the possibility that not only the polymorphisms of the COMT and MTHFR genes, but also their interaction, might be involved in dopamine dysregulation which contributes to the pathogenesis of psychiatric disorder29. Association studies have supported the notion that, high dopamine levels contribute to the risk of BPD9; thus, based on the inverted U theory, we hypothesize that the high dopamine level, a result of the combination of the low-functioning COMT enzyme (COMT Met allele) in the background of the MTHFR C allele, contributes to risk of developing BP-II. We also hypothesize that, when dopamine levels are less than optimal, the combination of the COMT Val/Val and MTHFR T allele protects against BP-II.

We used a gene-to-gene interaction approach to detect weak gene effects in our investigation of the relationship and interaction between the COMT and MTHFR gene polymorphisms and BP-II, because individual genes may have only a small effect on the pathogenesis of BPD30,31. In addition, we tried to control for the clinical heterogeneity of BPD by recruiting only patients with a homogenous subtype of BPD: BP-II.

Methods

Participants

The research protocol was approved by the Institutional Review Board for the Protection of Human Subjects at Tri-Service General Hospital and at National Cheng Kung University Hospital, and the study was carried out in accordance with the nationally approved guidelines. The study conformed to the ethical standards of the 1964 Declaration of Helsinki. After the study had been thoroughly explained to the participants, they all signed written informed consent forms. To minimize the confounding effect of ethnic differences in genetic distribution, we recruited only Han Chinese in Taiwan confirmed to be unrelated.

Between 2007 and 2014, BP-II outpatients and inpatients were recruited from Tri-Service General Hospital and National Cheng Kung University Hospital. Patients were initially evaluated in an interview by an attending psychiatrist. The study protocol was explained to patients with an initial diagnosis of BP-II. Those who agreed to participate in the study and signed informed consents subsequently underwent a more detailed structured interview by a clinical psychologist using the Chinese Version of the Modified Schedule for Affective Disorders and Schizophrenia-Lifetime (SADS-L) version32, which has good inter-rater reliability33, to reconfirm that their diagnoses complied with Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) criteria. Inclusion criteria were a diagnosis of BP-II, either first-onset or with previous episodes. Exclusion criteria were (i) any DSM-IV-TR Axis I diagnosis, including organic mental disorders, substance use disorder, and other major and minor mental illnesses other than BP-II, (ii) any significant medical illness, (iii) any neurological disorders, and (iv) any poorly controlled physical illness that might influence the interview and study results.

Although DSM-IV-TR4 and SADS-L criteria require a 4-day minimum duration of hypomania for the diagnosis of BP-II, we used a 2-day minimum, which is supported by recent epidemiologic data, and it might be more prevalent in community samples34. Angst et al.34 say that the 2-day duration shows comparable clinical significance in 4-day and in 1- to 3-day hypomanic episodes. Therefore, this study used the 2-day limit for hypomania, which has been used in many clinical studies35,36.

The healthy control group (hereafter, Controls) were volunteers recruited from the community. The SADS-L32 was used to screen the volunteers for psychiatric conditions. All volunteers were free of major and minor mental illness (schizophrenia, affective disorder, anxiety disorder, substance use disorder, personality disorder, etc.). None had a family history of psychiatric disorder among their first-degree relatives.

Blood Samples and Genotyping

Twenty milliliters of venous blood was collected using venipuncture of the antecubital vein. DNA was isolated from lymphocytes. The COMT Val158Met polymorphism was genotyped using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis37. The genotyping of the MTHFR C677T polymorphism was done using a modified protocol described elsewhere38. The laboratory technician who did the genotyping, and then retyped and double-checked each sample and recorded the genotype data was blinded to the patients' diagnoses and to whether the samples were from patients or controls. The error rate of genotyping was less than 5%.

Statistical Analysis

Independent t tests were used to determine the mean age differences between BP-II patients and Controls. Gender difference was analyzed using χ2 tests.

Pearson χ2 analysis (two-tailed) was used to analyze the differences in the genotype and allele frequencies of the COMT Val158Met and MTHFR C677T polymorphisms between the BP-II and Control groups. Hardy-Weinberg equilibrium was tested for each study group.

To examine the main effects and the interactive effects of gene-to-gene interaction of the COMT and MTHFR genes for the risk of BP-II compared with Controls, we used logistic regression and controlled for the covariates of age and gender. In the logistic regression model, the diagnosis group (BP-II vs. Controls) was set as a dependent variable (binary outcome). Age, gender, genotypes of COMT and MTHFR, and the interaction of the COMT and MTHFR genes were set as independent variables (covariates). The effects of independent variables are expressed as odds ratios (OR) with 95% confidence intervals (CI). Significance was set at P < 0.05 (two-tailed). The data were analyzed using SPSS 18.0 (SPSS, Inc., Chicago, IL), the power analysis was done using G-Power 339,40, and the effect-size conventions were set as described elsewhere39.

Results

Thirty-one patients previously diagnosed with BP-II were excluded for not meeting the present study's diagnostic criteria for BP-II (n = 26) or comorbidities of other major mental illnesses (n = 5). Of the 978 participants included in the study, 531 were BP-II patients and 447 were Controls. Both age and gender were significantly different between the BP-II patients and Controls (Table 1).

Table 1. Comparison of mean age and gender.

Group (n) BP-II (531) Controls (447) Statistics P
Age (Mean ± SD) 31.9 ± 11.5 35.4 ± 9.7 t = 5.03 <0.001***
Gender (Male/Female) 255/276 328/119 χ2 = 64.8 <0.001***

BP-II: bipolar II disorder; SD, standard deviation.

***P < 0.001.

The genotype and allele distributions of the COMT Val158Met and MTHFR C677T polymorphisms for each group were in Hardy-Weinberg equilibrium (P > 0.05). For COMT Val158Met (Table 2), neither the genotypes (P = 0.075) nor the allelic distribution (P = 0.45) significantly differed between BP-II patients and Controls. For MTHFR C677T (Table 3), neither the genotypes (P = 0.16) nor the allelic distribution (P = 0.13) were associated with the risk of BP-II.

Table 2. Genotype Distributions and Allelic Frequencies of COMT Val158Met Variants.

Group (n) BP-II (531) Controls (447) χ2 P
COMT Val158Met Genotype (%)        
 Val/Val 272 (51.2) 251 (56.2) 5.19 0.075
 Val/Met 224 (42.2) 158 (35.3)    
 Met/Met 35 (6.6) 38 (8.5)    
COMT Val158Met Allele (%)        
 Val 768 (72.1) 660 (74.1) 0.56 0.45
 Met 294 (27.9) 234 (25.9)    

Table 3. Genotype distributions and allelic frequencies of MTHFR C677T polymorphisms.

Group (n) BP-II (531) Controls (447) χ2 P
MTHFR C677T Genotype (%)        
 C/C 287 (54.0) 215 (48.1) 3.61 0.16
 C/T 206 (38.8) 199 (44.5)    
 T/T 38 (7.2) 33 (7.4)    
MTHFR C677T Allele (%)        
 C 780 (48.2) 629 (49.8) 2.30 0.13
 T 282 (51.8) 265 (50.2)    

After the MTHFR C677T genotypes in BP-II patients and Controls had been stratified, the COMT Val/Val variant was significantly more frequently detected in Controls than in BP-II patients (Table 4). Multivariate logistic regression analysis showed a significant interaction between the COMT Val158Met Val/Val genotype and the MTHFR C677T C/T + T/T genotype and their interaction for the risk of BP-II (OR = 0.58, P = 0.034) (Table 5). After controlling for age and gender (Model 2), the protective effect against BP-II was still significantly associated with the interaction of the COMT Val158Met Val/Val genotype and the MTHFR C677T C/T + T/T genotype (OR = 0.57, P = 0.039).

Table 4. Genotype distribution of genotypes of the COMT Val158Met polymorphism after stratification of the MTHFR C677T genotypes.

Gene polymorphisms and Group (n) BP-II (%) Controls (%) χ2 P OR 95% CI
MTHFR C677T C/C Genotype              
 COMT Val158Met Genotypes   (n = 287) (n = 215)        
  Val/Val 282 163 (56.8) 119 (55.3) 0.104 0.785 1.026 0.877–1.200
  Val/Met + Met/Met 220 124 (43.2) 96 (44.7)     1  
MTHFR C677T C/T + T/T Genotype              
 COMT Val158Met Genotypes   (n = 244) (n = 232)        
  Val/Val 241 109 (44.7) 132 (56.9) 7.11 0.008** 0.785 0.656–0.939
  Val/Met + Met/Met 235 135 (55.3) 100 (43.1)     1  

OR = odds ratio; CI = confidence interval.

**P < 0.01.

Table 5. Multivariate logistic regression analysis of COMT and MTHFR genes and their interaction for the risk of bipolar-II disorder.

  Model 1 Model 2
Variable Odds Ratio 95% CI P Odds Ratio 95% CI P
Age       0.96 0.95–0.98 <0.001***
Gender (Male vs. Female)       0.30 0.23–0.40 <0.001***
COMT Val/Val genotype 1.05 0.74–1.51 0.747 1.09 0.75–1.58 0.764
MTHFR C/T + T/T genotype 1.06 0.72–1.52 0.816 1.06 0.72–1.57 0.669
COMT Val/Val × MTHFR C/T + T/T genotype 0.58 0.35–0.96 0.034* 0.57 0.33–0.97 0.039*

OR = odds ratio; 95% CI = 95% confidence interval. Covarying for age and gender; reference groups are COMT Val/Met + Met/Met, MTHFR C/C genotypes, and healthy control groups.

*P < 0.05, ***P < 0.001.

The power analysis showed that the power was 0.81 to detect a small effect, and 1.00 to detect medium and large effects in genotype frequencies (n = 978) between BP-II patients and Controls. The power was 0.88 for a small effect, and 1.00 for medium and large effects. For multiple regression analysis, the study had a power of 0.98 to detect a small effect, and 1.00 to detect medium and large effects. The effect-size conventions for this power analysis were determined as follows39: small effect size = 0.10, medium effect size = 0.30, large effect size = 0.50 for the χ2 test; and small effect size = 0.02, medium effect size = 0.15, large effect size = 0.35 for the multivariate regression model (α = 0.05).

Discussion

We found initial evidence of interaction between the COMT and MTHFR genes in the BP-II group. Although both the COMT and MTHFR genes have been associated with BP, the association of the interaction of these two genes with BP-II has not been previously reported. Our finding supports the notion that genetic factors, especially the interaction of genetic factors, do contribute to the susceptibility for BP-II.

The significant gene-to-gene interaction found in our study suggests that protective effect against developing BP-II was greater for those with both the Val/Val genotype of the COMT Val158Met gene and the C/T + T/T genotype of the MTHFR C677T polymorphism (OR = 0.57). When stratified by the MTHFR C677T C/T + T/T genotype, compared with people with the COMT Val158Met Val/Met + Met/Met genotype, those with the COMT Val158Met Val/Val genotype had a chance 0.785 times of having BP-II. This finding supports the association of a relatively low dopamine state being protective against the odds of developing BP-II, or at least argues that a relatively high dopamine state is a risk for developing BP-II. This finding is consistent with our hypothesis and the inverted U theory.

MTHFR, as the main enzyme in folate metabolism, provides single carbon moieties for methylation reactions inside the cells. One copy of the 677T allele is associated with a 35% reduction in MTHFR activity compared with the 677C allele21 and is involved in methylating DNA and metabolizing homocysteine in downstream biochemical processes18. Therefore, the MTHFR 677C/T + T/T genotype, which is less enzymatically active, may have few methyl moieties for the methylating COMT promoter, diminishing COMT expression, and augmenting dopamine degradation. In contrast, the Val/Val genotype is associated with high COMT enzyme activity and related to low dopamine levels, compared with the Met/Met and Val/Met genotypes15. The interactive effect of these two genotypes (COMT Val158Met Val/Val and MTHFR C677T C/T + T/T) is a low dopamine level, which is associated with a protective effect against BP-II. This finding is consistent with the inverted U-shaped dopamine theory27,28,29. Most other studies found the interactive effect of the COMT Val allele and MTHFR T allele associated with prefrontal and cognitive dysfunction in schizophrenia29,41. Our finding is contrary to those gene-to-gene interaction studies on schizophrenia, which perhaps provides evidence from genetic and dopaminergic levels that BP-II and schizophrenia are different mental disorders with different degrees of progression and different pathologies of dopamine degradation-relatedness. However, whether the genetic interaction reported in the current study is associated with prefrontal dysfunction in BP-II warrants additional studies.

Kontis et al.42 explored the hypotheses that the putative interaction between the COMT and MTHFR genes on cognition occurred because of two pathophysiological mechanisms: expression of the COMT gene and catabolization of dopamine. The first hypothesis predicts that the MTHFR C677T T allele increases the expression of the hyperfunctional Val variant of the COMT Val158Met polymorphism by decreasing COMT promoter methylation and prefrontal dopamine41. The second hypothesis predicts that MTHFR C677T T allele reduces the methyl moieties. The resultant COMT enzyme does not have the necessary methyl groups to catabolize prefrontal dopamine; thus, dopamine levels increase43. However, these contradictory hypotheses require further investigation.

In the Pearson χ2 analysis, we found a non-significant association between the COMT Val158Met polymorphism and BP-II. However, when stratified by the MTHFR polymorphism, only in the MTHFR C/T + T/T genotype was there a protective effect against BP-II (OR = 0.785) in those with the COMT Val158Met Val/Val genotype. This agrees with other44,45,46 findings that controls without BP-II carried significantly more Val/Met and Met/Met genotypes of the COMT Val158Met polymorphisms than of the Val/Val genotype. It implies increased central dopamine availability in those with BP-II14. In other words, the Val allele is involved in lower prefrontal dopaminergic activity, and those with the COMT Val158Met Val/Val genotype may be less vulnerable to BP-II because of the interaction effect of the MTHFR gene. Therefore, we hypothesize that the COMT gene is the candidate gene for BP-II only in those who carry the MTHFR C677T C/T + T/T genotypes. Additional association studies of BP-II focusing on other SNPs or haplotypes of the COMT gene on the background of the MTHFR C677T polymorphism are needed.

We found, after controlling for age and gender, that the C/T + T/T genotype of the MTHFR C677T polymorphism was not associated with the risk of BP-II. Our finding differed from others'22,23,24 which reported that the low-functioning 677T allele is a risk factor for BPD. Our study included substantially more participants and a more homogeneous group of patients with BP-II only. Perhaps the discrepancy can be attributed to their focus on the COMT Val158Met polymorphism and its influence on a definition of BPD that does not discriminate between BP-I and BP-II. However, after we stratified COMT Val158Met polymorphism, we found that the MTHFR C677T polymorphism was also associated with BP-II. We hypothesize that the association of the MTHFR gene and BP-II is modulated by the COMT gene. The MTHFR gene has been reported47 to be greatly involved in brain function and neurodevelopment. We also hypothesize that neurodegeneration and epigenetic mechanisms such as DNA methylation, through the pathway of dopamine catabolism, are important in the etiology of BP-II.

The present study has several limitations. First, the taxonomy of BP-II in this study differs from that provided in the DSM-IV and DSM-5, which require a minimum duration of 4 days of hypomania for a BP-II diagnosis. Although the 2-day duration for hypomania used in the current study has been widely used in many clinical studies34,48, it is possible that, using DSM diagnostic criteria, some of our patients would be diagnosed with unipolar depression. The Bridge study49 has validated that 1- to 3-day hypomania criterion provides better discrimination between BP-II and major depressive disorder. Unfortunately, our current data cannot tell us whether there is a genetic difference in BP-II subgroups with <4 days and ≥4 days of hypomania. Thus, our findings must be cautiously compared with those of other genetic studies of BP-II. In addition, significant differences in age and gender were found between the patient groups and the controls. To control for the differences in age and gender, we used multivariate logistic regression to analyze both the genetic main effect and the effect of gene-to-gene interaction. Although comparing age- and gender-matched controls is ideal, having an older control group reduces the risk of future BPD onset. Third, a 10-year follow-up study50 reported that 7.5% of patients with BP-II switched from hypomanic to manic episodes (BP-I). Therefore, a confirmed diagnosis of BP-II may require a long-term follow-up. Finally, only one SNP of the COMT gene and only one of the MTHFR gene were examined in this study. Other polymorphisms of the COMT (rs2075507 and rs165599) and MTHFR genes (A1298C) are also reported to be involved in the pathogenesis of BPD26,51. The findings in our study cannot be generalized into an association between BP-II and other polymorphisms of the COMT and MTHFR genes. Therefore, additional comprehensive association studies of other dopamine-related genes, potentially involving methylation pathways, are needed to support our hypotheses.

Our study serves as initial evidence of a gene-to-gene interaction between the COMT and MTHFR genes in BP-II, which implies the involvement of dopaminergic pathways and methylation pathways in the pathogenesis of this disorder. However, whether the interaction of these genes advance dopamine dysfunction and how that influences the etiology of BP-II still require further investigation. Because COMT is responsible for dopamine catabolism and MTHFR is essential in brain function, neurodevelopment, etc., the association of the COMT and MTHFR genes and other neurodegeneration-related genes with BP-II warrants additional studies.

Author Contributions

L.J.W. and S.Y.L. wrote the first draft. L.J.W., S.L.C., Y.H.C. and T.Y.W. managed the lab work and statistics. S.Y.L., T.Y.W., P.S.C., S.Y.H., N.S.T., K.C.C., I.H.L. and Y.K.Y. managed participant recruitment. R.B.L. supervised this work and edited the manuscript. All authors reviewed the manuscript.

Acknowledgments

This work was supported in part by grant NSC98-2314-B-006-022-MY3 (to R.B.L.) and grant NSC100-2314-B-075B-010-MY3 (to S.Y.L.) from the Taiwan National Science Council, grant MOST103-2314-B-075B-006- (to S.Y.L.), and grant MOST103-2622-B-006-006- CC2 (to R.B.L.) form Ministry of Science and Technology, grant DOH 95-TD-M-113-055 (to R.B.L.) from the Taiwan Department of Health, grant NHRI-EX-97-9738NI (to R.B.L.) from the Taiwan National Health Research Institute, and the National Cheng Kung University Project for Promoting Academic Excellence and Developing World Class Research Centers.

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