Home
JournalsCollections
For Authors For Reviewers For Editorial Board Members
Article Processing Charges Open Access
Ethics Advertising Policy
Editorial Policy Resource Center
Company Information Contact Us
Publications > Journals > Gene Expression> Article Full Text
OPEN ACCESS

Methylenetetrahydrofolate Reductase Gene rs1801131 and rs1801133 Polymorphisms were Associated with Susceptibility to Coronary Artery Disease and Nonalcoholic Fatty Liver Disease

  • Huan Song1,2,
  • Zhenzhen Zhao3,
  • Shousheng Liu3,
  • Chunmei Li1,
  • Yong Zhou4,*  and
  • Yongning Xin1,3,* 

Received:

Revised:

Accepted:

Published online:

 Author information

Citation: Song H, Zhao Z, Liu S, Li C, Zhou Y, Xin Y. Methylenetetrahydrofolate Reductase Gene rs1801131 and rs1801133 Polymorphisms were Associated with Susceptibility to Coronary Artery Disease and Nonalcoholic Fatty Liver Disease. Gene Expr. 2023;22(2):102-108. doi: 10.14218/GE.2022.00016S.

Abstract

Background and objectives

Methylenetetrahydrofolate Reductase (MTHFR) is the critical enzyme in folate and 1-carbon metabolism. MTHFR polymorphisms may result in increased homocysteine levels, and be associated with abnormal lipid metabolism in the liver. This study aims to explore the association between the gene polymorphisms of MTHFR rs1801131 and rs1801133 and the susceptibility to nonalcoholic fatty liver disease (NAFLD) and coronary artery disease (CAD).

Methods

This case-control study included 103 NAFLD patients, 176 CAD patients, 94 patients with NAFLD complicated with CAD, and 183 healthy controls. Basic clinical information was collected, and all participants were genotyped using polymerase chain reaction. Data were analyzed by SPSS 26.0.

Results

The genotype distribution of MTHFR rs1801131 does not exhibit a significant difference in the four groups (NAFLD, CAD, NAFLD+CAD, and Healthy controls) with all p values greater than 0.05. The genotype distribution of MTHFR rs1801133 is significantly different in the four groups (p0 = 0.014), while the allele distribution was not significant (p0 = 0.139). In both the dominant model (TT vs CT+CC) and co-dominant model (TT+CC vs CT), the genotype distribution of rs1801133 is statistically significant between the CAD and NAFLD+CAD, healthy controls and NAFLD+CAD, and NAFLD and NAFLD+CAD groups (all p < 0.05). In the NAFLD+CAD group, there are statistically significant differences in fasting plasma glucose (FPG) levels among carriers with different genotypes (TT vs CT+CC: p = 0.047, TT+CC vs CT: p = 0.002).

Conclusions

The C allele of MTHFR rs1801133 is a risk factor for NAFLD+CAD. The CT genotype of MTHFR rs1801133 is associated with FPG level in patients with NAFLD complicated with CAD.

Keywords

Methylenetetrahydrofolate reductase, Nonalcoholic fatty liver disease, Coronary artery disease, Polymorphism, Lipids metabolism

Introduction

Nonalcoholic Fatty Liver Disease (NAFLD) is a clinicopathological syndrome characterized by excessive deposition of fat in liver cells, which is closely related to insulin resistance and genetic susceptibility and is caused by alcohol and other clear liver damage factors.1,2 The risk factors for NAFLD include a high-fat diet, a high-calorific diet, a sedentary lifestyle, insulin resistance, and metabolic syndrome,3–5 which are all risk factors for cardiovascular disease.2,6 Coronary artery disease (CAD) refers to coronary artery atherosclerosis caused by lumen stenosis or occlusion, resulting in myocardial ischemia, hypoxia, or necrosis caused by heart disease. Cardiovascular diseases have become the main cause of death globally, with more than 17.6 million deaths in 2016, and the number is expected to grow to more than 23.6 million by 2030.7 NAFLD and CAD are complex diseases resulting from the presence of susceptibility genes combined with environmental exposure.

MTHFR rs1801133 and rs1801131 are the most common genetic mutations of methylenetetrahydrofolate reductase (MTHFR).8 PolyPhen was used to predict the effect of the SNP site on proteins, the results showed that rs1801131 and rs1801133 may lead to impaired protein function, which may affect the function of MTHFR. MTHFR is the critical enzyme in folate 1-carbon and homocysteine (Hcy) metabolism.9,10 It has been reported that increased serum Hcy levels may affect intracellular fat metabolism and promote liver fat infiltration, leading to NAFLD.11 Studies by Xie Jun et al.10 showed that a history of high Hcy is an independent risk factor for cardiovascular and cerebrovascular diseases. Increased circulating levels of homocysteine accelerate atherosclerosis through several mechanisms.10,11 Some studies support the association of polymorphisms with susceptibility to NAFLD and CAD,8,12,13 while others do not.14–16

This study aims to explore the association between MTHFR gene rs1801131 and rs1801133 polymorphisms and the susceptibility of NAFLD and CAD.

Subjects and methods

Study subjects

This case-control study was approved by the Qingdao Hospital Ethics Committee (Approval NO. 2017-20), and was based on the principles of the Declaration of Helsinki and its appendices.17 All the subjects were informed and signed an informed agreement upon joining this study. From June 2018 to June 2019, a total of 556 patients from Qingdao Municipal Hospital participated in the study, including 103 NAFLD patients, 176 CAD patients, 94 patients with NAFLD complicated with CAD (NAFLD+CAD), and 183 healthy controls. The NAFLD patients were diagnosed according to the Guidelines of prevention and treatment of nonalcoholic fatty liver disease (2018),18 while the CAD patients were diagnosed according to the Guidelines for Diagnosis and Treatment of Stable Coronary Heart Disease.19 None of the patients with abnormal blood glucose content in this study was diagnosed with diabetes.

Biochemical analyses

Basic clinical information was collected such as sex, age, height, and weight. The body mass index (BMI) could be calculated by mass (kg)/height (m2). Fasting blood was taken from the subjects to test their biochemical parameters, such as alanine aminotransferase (ALT), aspartate aminotransferase, fasting plasma glucose (FPG), triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), low-density lipoprotein (LDL), gamma-glutamyl transpeptadase (GGT), alkaline phosphatase (ALP), total bilirubin.

Genomic DNA extraction and genotyping

Whole blood genomic DNA was extracted (blood genomic DNA extraction kit; Beijing Bomiao Biotechnology Co. Ltd, Beijing, China) and stored at 20°C. MTHFR rs1801133 and rs1801131 were genotyped by the polymerase chain reaction combined with sequencing, and specific steps were described in the references.20 Primer sequence of MTHFR was as follows: rs1801133, 5′-ACGTTGGATGCTTGAAGGAGAAGGTGTCTG-3′ and 5′-ACGTTGGATGACACGTTGGATGCTTCACAAAGCGGAAGAATG-3′; rs1801131, 5′-ACGTTGGATGTGAAGAGCAAGTCCCCCAAG-3′ and 5′-ACGTTGGATGCCGAGAGGTAAAGAACGAAG-3′. MTHFR rs1801131 showed that there were three genotypes: AA, CC, and AC, and MTHFR rs1801133 showed that there were three genotypes: TT, CC, and CT.

Statistical analysis

The data were analyzed using SPSS version 26.0. Pearson’s χ2 test was used to analyze the Hardy-Weinberg balance. Genotypes, allele frequencies, and other qualitative data comparisons were tested by Pearson’s χ2 test. After normality tests, continuous variables were expressed as mean ± standard deviation or median (interquartile range) for normal and abnormal distributed parameters, respectively. The measurement data were tested by the t-test and Wilcoxon rank sum test. The association between SNPs and the risk of NAFLD and CAD was estimated by computing odds ratios (ORs) and 95% confidence interval (95% CI). p < 0.05 was statistically significant.

Results

Demographic and clinical characteristics

The general clinical data and biochemical indicators were compared in Table 1. The NAFLD patients had higher BMI values and serum levels of FPG, ALT, GGT, TC, TG, and LDL than the healthy controls (all p < 0.05), with the two groups matched for gender (all p > 0.05); The CAD patients had higher BMI values and serum levels of FPG, ALT, GGT, and ALP than the healthy controls, besides, the serum level of TC, HDL, and LDL in CAD patients was significantly lower compared to the healthy controls (all p < 0.05), and the two groups were matched for gender and age (all p > 0.05); The NAFLD+CAD patients had higher BMI values and serum levels of FPG, ALT, GGT, and ALP than the healthy controls, besides, the serum level of HDL and LDL in CAD patients was significantly lower compared to the healthy controls (all p < 0.05).

Table 1

Association of non-genetic variables in the study subjects

Healthy controls (n = 183)NAFLD (n = 103)CAD (n = 176)NAFLD+CAD (n = 94)p0
Male/Female104.00/79.0069.00/34.00116.00/60.0068.00/26.00#0.055
Age, y47.00 (40.00, 57.00)43.00 (38.00, 45.00)#66.00 (59.20, 75.75)63.00 (57.00, 68.00)#<0.001
BMI, kg/m223.60 ± 3.1926.24 ± 2.56#24.59 ± 3.22#25.08 ± 2.67#<0.001
FPG, mmol/L4.57 (4.06, 5.05)4.85 (4.52, 5.21)#5.21 (4.55, 6.43)#5.42 (4.80, 6.07)#<0.001
ALT, U/L19.02 (13.36, 26.58)22.67 (18.30, 39.44)#21.85 (14.98, 32.22)#22.67 (15.36, 32.45)#<0.001
AST, U/L20.87 (18.84, 25.04)22.20 (18.77, 26.21)22.34 (17.08, 34.49)21.50 (16.80, 32.10)0.515
GGT, U/L22.43 (16.45, 30.44)30.09 (20.19, 45.27)#27.35 (18.75, 41.58)#26.11 (18.25, 43.93)#<0.001
ALP, U/L69.31 (55.98, 83.91)67.36 (57.40, 79.17)82.71 (64.59, 107.38)#82.50 (70.99, 98.06)#<0.001
TC, mmol/L5.00 (4.20, 5.64)5.44 (4.96, 5.99)#4.48 (3.77, 5.35)#4.25 (3.83, 5.51)<0.001
TG, mmol/L1.21 (0.90, 1.94)1.49 (1.08, 2.20)#1.36 (0.99, 1.86)1.35 (0.94, 2.08)0.177
HDL, mmol/L1.28 (1.07, 1.51)1.22 (1.08, 1.35)1.01 (0.85, 1.16)#1.05 (0.88, 1.19)#<0.001
LDL, mmol/L3.06 (2.64, 3.54)3.27 (2.82, 3.59)#2.69 (2.07, 3.30)#2.51 (2.14, 3.37)#<0.001

Genotypes and alleles distributions of MTHFR rs1801131 and rs1801133

The distribution of MTHFR rs1801131 and rs1801133 polymorphisms in healthy controls was consistent with the Hardy-Weinberg equilibrium (rs1801131: χ2 = 0.094, p = 0.954; rs1801133: χ2 = 0.482, p = 0.786). There was no significant difference in the genotype distribution and allele frequency of rs1801131 among the four groups (NAFLD, CAD, NAFLD+CAD, and Healthy controls) (all p > 0.05) (Table 2).

Table 2

Distributions of the MTHFR rs1801131 genotypes and alleles in the study groups

NAFLD+CADNAFLDCADHealthy controlsp0p1p2p3
Genotypes
  AA79 (73.8)80 (76.1)139 (77.7)138 (74.2)0.6841.0000.9570.278
  CC2 (1.9)1 (1.0)0 (0)3 (1.6)
  AC26 (24.3)24 (22.9)40 (22.3)45 (24.2)
Alleles
  C30 (14.0)26 (12.4)40 (11.2)51 (13.7)0.6950.9170.6500.300
  A184 (86.0)184 (87.6)318 (88.8)321 (86.3)

The genotype distribution of rs1801133 was statistically different among the four groups (NAFLD, CAD, NAFLD+CAD, and Healthy controls) (p = 0.014), while the allele distribution was the same among the 4 groups (p = 0.139). Moreover, there were significant differences in the allele distribution of rs1801133 between the NAFLD+CAD and CAD groups (p2 = 0.021). The genotypes of the three groups (NAFLD, CAD, and Healthy controls) were statistically different from those of the NAFLD+CAD group (all p < 0.05) (Table 3).

Table 3

Distributions of the MTHFR rs1801133 genotypes and alleles in the study groups

NAFLD+CADNAFLDCADHealthy controlsp0p1p2p3
Genotypes
  TT16 (16.0)35 (33.0)64 (36.2)63 (33.7)0.0140.0090.0010.002
  CC13 (13.0)16 (15.1)23 (13.0)29 (15.5)
  CT71 (71.0)55 (51.9)90 (50.8)95 (50.8)
Alleles
  T103 (51.5)125 (59.0)218 (61.6)221 (59.1)0.1390.1280.0210.081
  C97 (48.5)87 (41.0)136 (38.4)153 (40.9)

Analysis of MTHFR rs1801133 genotype model

Analysis of the MTHFR rs1801133 genotypes model showed that the genotype distribution was statistically significant under the dominant model (TT vs CT+CC) and the co-dominant model (TT+CC vs CT) (all p < 0.05). After adjusting for age, BMI, and gender, there was no statistical significance between the NAFLD and NAFLD+CAD groups. (TT vs CT+CC: p1 = 0.074, TT+CC vs CT: p1 = 0.881), but there remained a statistical difference in other groups (all p < 0.05) (Table 4).

Table 4

Comparison of MTHFR rs1801133 genotypic distribution under different gene models

NAFLDNAFLD+CADOR95%CIp1CADNAFLD+CADOR95%CIp2Healthy controlsNAFLD+CADOR95%CIp3
Recessive model
  TT+CT90871.190(0.541–2.619)0.666154871.000(0.482–2.072)0.999158871.228(0.607–2.485)0.567
  CC161323132913
Dominant model
  TT35162.588(1.324–5.061)0.00564162.973(1.605–5.507)0.00163162.667(1.443–4.932)0.002
  CT+CC71841138412484
Dominant modela
  TT35161.391(0.198–9.786)0.74064163.192(1.678–6.071)<0.00163163.423(1.623–7.222)0.001
  CT+CC71841138412484
Co-dominant model
  TT+CC51292.270(1.276–4.038)0.00587292.367(1.403–3.992)0.00193292.371(1.412–3.982)0.001
  CT557190719571
Co-dominant modela
  TT+CC51290.880(0.165–4.691)0.88187292.468(1.433–4.251)0.00193292.584(1.372–4.867)0.003
  CT557190719571

Association of MTHFR rs1801131 and rs1801133 gene polymorphism with clinical parameters characteristics in all subjects

The clinical data of all participants were compared between carriers and non-carriers of the rs1801131 allele A, and the differences were not statistically significant (p > 0.05).

The clinical data of healthy controls, NAFLD, and CAD patients were compared between the homozygous (TT+CC) and heterozygous (CT) genotypes of the rs1801133, and the differences were not statistically significant (p > 0.05). In the NAFLD+CAD group, FPG levels of different genotypes were statistically different (Dominant model: p = 0.047, Co-dominant model: p = 0.002) (Tables 5 and 6).

Table 5

Correlation analysis between rs1801133 genotypes and non-genetic variables in the NAFLD+CAD group under the dominant model

TTCC+CTStatistics (t/z)p
Age, y62.63 ± 7.8061.79 ± 7.570.4050.687
BMI, kg/m225.67 ± 2.2424.99 ± 2.660.9580.341
FPG, mmol/L5.13 (4.79, 5.41)5.58 (4.82, 6.52)−1.9840.047
ALT, U/L22.50 (13.14, 39.48)22.71 (16.03, 32.77)−0.1880.851
AST, U/L22.93 (17.29, 41.75)21.60 (16.92, 31.52)−0.4980.618
GGT, U/L29.93 (19.48, 46.60)25.64 (18.12, 42.51)−0.6720.501
ALP, U/L83.21 (76.90, 102.59)80.69 (69.09, 95.69)−0.8460.397
TC, mmol/L4.25 (3.96, 5.57)4.22 (3.78, 5.46)−0.1550.877
TG, mmol/L1.34 (1.00, 1.87)1.32 (0.95, 2.11)−0.1410.888
HDL, mmol/L1.06 (0.98, 1.18)1.02 (0.85, 1.19)−1.0200.308
LDL, mmol/L2.55 (2.21, 3.36)2.50 (2.02, 3.39)−0.0280.977
TBIL, umol/L13.05 (9.93, 14.30)14.15 (10.73, 17.10)−1.1330.257
Table 6

Correlation analysis between rs1801133 genotypes and non-genetic variables in the NAFLD+CAD group under the co-dominant model

TT+CCCTStatistics (t/z)p
Age, y62.17 ± 8.2061.82 ± 7.360.2120.833
BMI, kg/m224.90 ± 2.4125.18 ± 2.68−0.4850.629
FPG, mmol/L5.01 (4.57, 5.51)5.64 (4.89, 6.74)−3.0730.002
ALT, U/L18.15 (14.94, 33.09)22.84 (16.63, 32.89)−0.5740.566
AST, U/L21.52 (18.64, 54.64)21.88 (16.83, 28.83)−0.5930.554
GGT, U/L25.44 (17.94, 36.64)27.09 (18.49, 44.92)−0.4790.632
ALP, U/L82.40 (70.25, 98.11)83.72 (70.19, 96.39)−0.4060.684
TC, mmol/L4.27 (3.75, 5.70)4.21 (3.79, 5.42)−0.2660.790
TG, mmol/L1.37 (0.95, 2.06)1.31 (0.96, 2.13)−0.5620.574
HDL, mmol/L1.03 (0.89, 1.16)1.04 (0.85, 1.20)−0.1670.867
LDL, mmol/L2.61 (2.08, 3.35)2.46 (2.03, 3.40)−0.0340.973
TBIL, umol/L13.00 (9.95, 14.75)14.30 (10.80, 17.70)−1.5160.130

Discussion

The findings of the present study provide a comprehensive understanding of the correlation between MTHFR rs1801131 and rs1801133 polymorphism in MTHFR and the susceptibility to NAFLD and CAD in China.

As mentioned in the introduction, MTHFR, as a key enzyme, is involved in the occurrence and development of NAFLD and CAD diseases by regulating Hcy metabolism. MTHFR polymorphisms may be closely related to NAFLD and CAD susceptibility. Although some studies have shown that the rs1801131 genotype is associated with CAD susceptibility,13–15 other studies showed that MTHFR rs1801131 polymorphism had no significant relationship with CAD.15,21,22 There are also inconsistent results in studies on the correlation between rs1801131 polymorphisms and NAFLD susceptibility.21,23,24 In the Turkish and Italian populations, rs1801131 polymorphism was significantly associated with NAFLD,23,24 while in the Chinese population, rs1801131 polymorphism was not associated with NAFLD.21 In this study, no correlation was found between rs1801131 polymorphism and NAFLD and CAD susceptibility (p > 0.05). Allele A frequencies in this study (86.3%) were consistent with the Chinese Beijing population (A 81.6%).25 This difference may be due to regional, lifestyle, and ethnic differences. Qingdao’s economy is relatively developed: the local people enjoy good nutrition and eat more seafood.

The correlation between rs1801133 polymorphism and NAFLD and CAD susceptibility is also controversial. For MTHFR rs1801133, T allele frequencies in this study (59.1%) were consistent with the Chinese Tianjin population (T 56%)26 and differed from the Chinese Beijing population (T 41.3%).25 Some studies showed that the T allele of rs1801133 gene polymorphism was a risk factor for CAD.25,27 while some Chinese studies showed that the CT genotype might be the susceptibility factor of CAD patients.21 A Meta-analysis conducted by Sun et al. revealed that MTHFR rs1801133 gene polymorphism was implicated in susceptibility to NAFLD.8 Literature shows that the genotype frequency of MTHFR rs1801133 varies greatly by race.28,29 Our study showed that MTHFR rs1801133 gene polymorphism was not associated with the risk of CAD or NAFLD, however, MTHFR rs1801133 polymorphism was associated with the risk of NAFLD complicated with CAD. There are no other studies on the correlation between polymorphism and susceptibility to NAFLD and CAD. According to our results, for healthy people, NAFLD, and CAD patients, rs1801133 polymorphism was associated with the risk of NAFLD combined with CAD disease. In this study, different gene models were used to analyze the genotype distribution of rs1801133 polymorphism. In the codominant model, the CT genotype of MTHFR rs1801133 was a risk factor for NAFLD combined with CAD, while in the dominant model, the CT+CC genotype was a risk factor for NAFLD combined with CAD. This is not completely consistent with other studies on NAFLD or CAD. Considering the complexity of the disease and the absence of relevant references, the rationality of the results of this study cannot be denied.

MTHFR rs1801133 could affect the total serum Hcy level, which might affect the risk of Type 2 diabetes (T2DM).30MTHFR rs1801133 polymorphism was found to be significantly associated with T2DM.31,32 Different meta-analyses showed a significant relationship between rs1801133 polymorphism and T2DM.33,34 Elevated FPG (≥7.0 mmol/L) is currently used to diagnose T2DM.9

In this study, the CT genotype and CC+CT genotype of MTHFR rs1801133 were associated with an increased FPG level in NAFLD+CAD patients (both p < 0.05). Given that rs1801133 polymorphisms were strongly associated with diabetes risk, it was reasonable to influence FPG levels in the patients with NAFLD complicated with CAD. This study has its limitations in that all samples were only collected in Qingdao, China, which has regional limitations. Compared with the south of China, the taste in food of the Qingdao area is heavy; People there like to eat pickled food, the dietary structure protein fat content is higher, and people generally eat more. Qingdao produces seafood, and the seafood intake is higher than in other areas. Also, the diagnosis of fatty liver relied on ultrasound examinations and liver biopsy was not performed.

Conclusion

In conclusion, the CT genotype and CC+CT genotype of MTHFR rs1801133 were the risk factors for NAFLD combined with CAD. The CT genotype of MTHFR rs1801133 was associated with the up-regulation of FPG levels in patients with NAFLD combined with CAD.

Abbreviations

ALP: 

alkaline phosphatase

ALT: 

alanine aminotransferase

AST: 

aspartate aminotransferase

BMI: 

body mass index

CAD: 

coronary artery disease

FPG: 

fasting plasma glucose

GGT: 

gamma-glutamyl transpeptadase

Hcy: 

homocysteine

HDL: 

high-density lipoprotein

LDL: 

low-density lipoprotein

MTHFR: 

methylenetetrahydrofolate reductase

NAFLD: 

nonalcoholic fatty liver disease

OR: 

odd ratio

TC: 

total cholesterol

TG: 

triglyceride

T2DM: 

Type 2 diabetes

95% CI: 

95% confidence interval

Declarations

Acknowledgement

Not applicable.

Ethical statement

This case-control study was approved by the Qingdao Hospital Ethics Committee (Approval NO. 2017-20), and was based on the principles of the Declaration of Helsinki and its appendices. All the subjects were informed and signed an informed agreement upon joining this study.

Data sharing statement

The data used in support of the findings of this study are available from the corresponding author at [email protected] upon request.

Funding

The work was supported in part by a grant from the National Natural Science Foundation of China (32171277).

Conflict of interest

The authors have no conflict of interests related to this publication.

Authors’ contributions

Study concept and design (XYN and ZY); subjects collection (SH and LCM); acquisition and analysis of data (SH and ZZZ); drafting of the manuscript (SH and ZZZ); the revision of the manuscript (LSS, XYN, and ZY). Huan Song and Zhenzhen Zhao contributed equally to the article and are first authors, while Yongning Xin and Yong Zhou are corresponding authors. All authors have made a significant contribution to this study and have approved the final manuscript.

References

  1. Younossi ZM, Stepanova M, Rafiq N, Henry L, Loomba R, Makhlouf H, et al. Nonalcoholic steatofibrosis independently predicts mortality in nonalcoholic fatty liver disease. Hepatol Commun 2017;1(5):421-428 View Article PubMed/NCBI
  2. Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease-Meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology 2016;64(1):73-84 View Article PubMed/NCBI
  3. Fan JG, Farrell GC. Epidemiology of non-alcoholic fatty liver disease in China. J Hepatol 2009;50(1):204-210 View Article PubMed/NCBI
  4. Fan JG, Saibara T, Chitturi S, Kim BI, Sung JJ, Chutaputti A, et al. What are the risk factors and settings for non-alcoholic fatty liver disease in Asia-Pacific?. J Gastroenterol Hepatol 2007;22(6):794-800 View Article PubMed/NCBI
  5. Vernon G, Baranova A, Younossi ZM. Systematic review: the epidemiology and natural history of non-alcoholic fatty liver disease and non-alcoholic steatohepatitis in adults. Aliment Pharmacol Ther 2011;34(3):274-285 View Article PubMed/NCBI
  6. Ford ES. Risks for all-cause mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care 2005;28(7):1769-1778 View Article PubMed/NCBI
  7. Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, et al. Heart disease and stroke statistics-2019 update: A report from the American Heart Association. Circulation 2019;139(10):e56-e528 View Article PubMed/NCBI
  8. Sun MY, Zhang L, Shi SL, Lin JN. Associations between Methylenetetrahydrofolate reductase (MTHFR) polymorphisms and non-alcoholic fatty liver disease (NAFLD) risk: A meta-analysis. PLoS One 2016;11(4):e0154337 View Article PubMed/NCBI
  9. Wang C, Xie H, Lu D, Ling Q, Jin P, Li H, et al. The MTHFR polymorphism affect the susceptibility of HCC and the prognosis of HCC liver transplantation. Clin Transl Oncol 2018;20(4):448-456 View Article PubMed/NCBI
  10. Xie J, Chu L, Liu J. Evaluation of plasma Hcy and sdLDL in cardiovascular events in patients with coronary heart disease complicated with hyperlipidemia. Labeled Immunoassay Clin Med 2018;25(2):253-257 View Article PubMed/NCBI
  11. Targher G, Marra F, Marchesini G. Increased risk of cardiovascular disease in non-alcoholic fatty liver disease: causal effect or epiphenomenon?. Diabetologia 2008;51(11):1947-1953 View Article PubMed/NCBI
  12. Kasapoglu B, Turkay C, Yalcin KS, Kosar A, Bozkurt A. MTHFR 677C/T and 1298A/C mutations and non-alcoholic fatty liver disease. Clin Med (Lond) 2015;15(3):248-251 View Article PubMed/NCBI
  13. Sinha E, Walia GK, Mukhopadhyay R, Samtani R, Gupta BP, Ghosh PK, et al. Methylenetetrahydrofolate reductase polymorphism: An independent risk determinant of coronary heart disease in an endogamous population from Delhi (India). e-SPEN 2010;5(5):e213-e218 View Article PubMed/NCBI
  14. Amani S, Mirzajani E, Kassaee SM, Mahmoudi M, Mirbolouk F. The association of methylene tetrahydrofolate reductase (MTHFR) A1298C gene polymorphism, homocysteine, vitamin B12, and folate with coronary artery disease (CAD) in the north of Iran. Turk J Biochem 2020;45(6):851-857 View Article PubMed/NCBI
  15. Freitas AI, Mendonça I, Guerra G, Brión M, Reis RP, Carracedo A, et al. Methylenetetrahydrofolate reductase gene, homocysteine and coronary artery disease: the A1298C polymorphism does matter. Inferences from a case study (Madeira, Portugal). Thromb Res 2008;122(5):648-656 View Article PubMed/NCBI
  16. Serin E, Güçlü M, Ataç FB, Verdi H, Kayaselçuk F, Ozer B, et al. Methylenetetrahydrofolate reductase C677T mutation and nonalcoholic fatty liver disease. Dig Dis Sci 2007;52(5):1183-1186 View Article PubMed/NCBI
  17. Fan JG, Jia JD, Li YM, Wang BY, Lu LG, Shi JP, et al. Guidelines for the diagnosis and management of nonalcoholic fatty liver disease: update 2010: (published in Chinese on Chinese Journal of Hepatology 2010; 18:163-166). J Dig Dis 2011;12(1):38-44 View Article PubMed/NCBI
  18. National Workshop on Fatty Liver and Alcoholic Liver Disease, Chinese Society of Hepatology, Chinese Medical Association, Fatty Liver Expert Committee, Chinese Medical Doctor Association. Guidelines of prevention and treatment for nonalcoholic fatty liver disease: A 2018 update. J Clin Hepatol 2018;34(5):947-957 View Article PubMed/NCBI
  19. Nakano S, Kohsaka S, Chikamori T, Fukushima K, Kobayashi Y, Kozuma K, et al. JCS 2022 guideline focused update on diagnosis and treatment in patients with stable coronary artery disease. Circ J 2022;86(5):882-915 View Article PubMed/NCBI
  20. Chen LZ, Ding HY, Liu SS, Liu Q, Jiang XJ, Xin YN, et al. Combining I148M and E167K variants to improve risk prediction for nonalcoholic fatty liver disease in Qingdao Han population, China. Lipids Health Dis 2019;18(1):45 View Article PubMed/NCBI
  21. Shen J, Zhang HQ, Ma CY, Lu FQ. A correlational study on MTHFR C667T and A1298C gene polymorphism and high homocysteine and coronary heart disease. Labeled Immunoassay Clin Med 2020;27(2):219-223 View Article PubMed/NCBI
  22. Biselli PM, Guerzoni AR, Goloni-Bertollo EM, Godoy MF, Abou-Chahla JA, Pavarino-Bertelli EC. [MTHFR genetic variability on coronary artery disease development]. Rev Assoc Med Bras (1992) 2009;55(3):274-278 View Article PubMed/NCBI
  23. Franco Brochado MJ, Domenici FA, Candolo Martinelli Ade L, Zucoloto S, de Carvalho da Cunha SF, Vannucchi H. Methylenetetrahydrofolate reductase gene polymorphism and serum homocysteine levels in nonalcoholic fatty liver disease. Ann Nutr Metab 2013;63(3):193-199 View Article PubMed/NCBI
  24. Catalano D, Trovato GM, Ragusa A, Martines GF, Tonzuso A, Pirri C, et al. Non-alcoholic fatty liver disease (NAFLD) and MTHFR 1298A > C gene polymorphism. Eur Rev Med Pharmacol Sci 2014;18(2):151-159 View Article PubMed/NCBI
  25. Long Y, Zhao XT, Liu C, Sun YY, Ma YT, Liu XY, et al. A case-control study of the association of the polymorphisms of MTHFR and APOE with risk factors and the severity of coronary artery disease. Cardiology 2019;142(3):149-157 View Article PubMed/NCBI
  26. Jiao X, Luo Y, Yang B, Jing L, Li Y, Liu C, et al. The MTHFR C677T mutation is not a risk factor recognized for HBV-related HCC in a population with a high prevalence of this genetic marker. Infect Genet Evol 2017;49:66-72 View Article PubMed/NCBI
  27. Luo Z, Lu Z, Muhammad I, Chen Y, Chen Q, Zhang J, et al. Associations of the MTHFR rs1801133 polymorphism with coronary artery disease and lipid levels: a systematic review and updated meta-analysis. Lipids Health Dis 2018;17(1):191 View Article PubMed/NCBI
  28. Sun J, Xu Y, Zhu Y, Lu H. Methylenetetrahydrofolate reductase gene polymorphism, homocysteine and risk of macroangiopathy in Type 2 diabetes mellitus. J Endocrinol Invest 2006;29(9):814-820 View Article PubMed/NCBI
  29. Raza ST, Abbas S, Ahmed F, Fatima J, Zaidi ZH, Mahdi F. Association of MTHFR and PPARγ2 gene polymorphisms in relation to type 2 diabetes mellitus cases among north Indian population. Gene 2012;511(2):375-379 View Article PubMed/NCBI
  30. Wang H, Hu C, Xiao SH, Wan B. Association of tagging SNPs in the MTHFR gene with risk of type 2 diabetes mellitus and serum homocysteine levels in a Chinese population. Dis Markers 2014;2014:725731 View Article PubMed/NCBI
  31. Al-Rubeaan K, Siddiqui K, Saeb AT, Nazir N, Al-Naqeb D, Al-Qasim S. ACE I/D and MTHFR C677T polymorphisms are significantly associated with type 2 diabetes in Arab ethnicity: a meta-analysis. Gene 2013;520(2):166-177 View Article PubMed/NCBI
  32. Benrahma H, Abidi O, Melouk L, Ajjemami M, Rouba H, Chadli A, et al. Association of the C677T polymorphism in the human methylenetetrahydrofolate reductase (MTHFR) gene with the genetic predisposition for type 2 diabetes mellitus in a Moroccan population. Genet Test Mol Biomarkers 2012;16(5):383-387 View Article PubMed/NCBI
  33. Zhu B, Wu X, Zhi X, Liu L, Zheng Q, Sun G. Methylenetetrahydrofolate reductase C677T polymorphism and type 2 diabetes mellitus in Chinese population: a meta-analysis of 29 case-control studies. PLoS One 2014;9(7):e102443 View Article PubMed/NCBI
  34. Meng Y, Liu X, Ma K, Zhang L, Lu M, Zhao M, et al. Association of MTHFR C677T polymorphism and type 2 diabetes mellitus (T2DM) susceptibility. Mol Genet Genomic Med 2019;7(12):e1020 View Article PubMed/NCBI