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ORIGINAL ARTICLE
Year : 2011  |  Volume : 133  |  Issue : 3  |  Page : 274-279

Profiling single nucleotide polymorphisms (SNPs) across intracellular folate metabolic pathway in healthy Indians


1 Interdisciplinary School of Health Sciences (ISHS), University of Pune, Pune, India
2 Centre for Rheumatic Diseases (CRD), Sinhgad College of Engineering, Pune, India
3 Department of biotechnology, Sinhgad College of Engineering, Pune, India

Date of Submission30-Jul-2009
Date of Web Publication6-Apr-2011

Correspondence Address:
Arvind Chopra
Director, Centre for Rheumatic Diseases, 11, Hermes Elegance, 1988 Convent Street Camp, Pune 411 001
India
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Source of Support: None, Conflict of Interest: None


PMID: 21441680

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   Abstract 

Background & objectives : Many pharmacologically-relevant polymorphisms show variability among different populations. Though limited, data from Caucasian subjects have reported several single nucleotide polymorphism (SNPs) in folate biosynthetic pathway. These SNPs may be subjected to racial and ethnic differences. We carried out a study to determine the allelic frequencies of these SNPs in an Indian ethnic population.
Methods: Whole blood samples were withdrawn from 144 unrelated healthy subjects from west India. DNA was extracted and genotyping was performed using PCR-RFLP and Real-time Taqman allelic discrimination for 12 polymorphisms in 9 genes of folate-methotrexate (MTX) metabolism.
Results: Allele frequencies were obtained for MTHFR 677T (10%) and 1298 C (30%), TS 3UTR 0bp (46%), MDR1 3435T and 1236T (62%), RFC1 80A (57%), GGH 401T (61%), MS 2756G (34%), ATIC 347G (52%) and SHMT1 1420T (80%) in healthy subjects (frequency of underlined SNPs were different from published study data of European and African populations).
Interpretation & conclusions : The current study describes the distribution of folate biosynthetic pathway SNPs in healthy Indians and validates the previous finding of differences due to race and ethnicity. Our results pave way to study the pharmacogenomics of MTX in the Indian population.

Keywords: Folate metabolism - Indians - methotrexate (MTX) - pharmacogenomics - single nucleotide polymorphism (SNP)


How to cite this article:
Ghodke Y, Chopra A, Shintre P, Puranik A, Joshi K, Patwardhan B. Profiling single nucleotide polymorphisms (SNPs) across intracellular folate metabolic pathway in healthy Indians. Indian J Med Res 2011;133:274-9

How to cite this URL:
Ghodke Y, Chopra A, Shintre P, Puranik A, Joshi K, Patwardhan B. Profiling single nucleotide polymorphisms (SNPs) across intracellular folate metabolic pathway in healthy Indians. Indian J Med Res [serial online] 2011 [cited 2020 Apr 5];133:274-9. Available from: http://www.ijmr.org.in/text.asp?2011/133/3/274/78336

Folate, a water soluble B vitamin, plays a key role in one-carbon metabolism. It is an essential cofactor for de novo biosynthesis of purine and thymidine nucleotide [1],[2] [Figure 1] with special reference to methylation reactions and epigenetic influences (DNA, chromosomes and mutations) [3] . Folate deficiency causes anaemia and is considered to be of aetiopathogenetic importance in several cardiovascular diseases, neural tube defects and other congenital defects, adverse pregnancy outcomes, neuropsychiatric and cognitive disorders, and cancer [4],[5]. Folate antagonists like methotrexate (MTX) and 5 fluorouracil target folate metabolism. Folate analogue are also widely used to treat cancer, autoimmune diseases, psoriasis, and infections.
Figure 1:Intracellular pathway of folate metabolism with highlighted critical pathways of methotrexate (MTX) entry, effect and efflux. Folate enters cell as methyl tetrahydrofolate (MTHF) through a folate carrier receptor system and is converted into tetrahydrofolate (THF). MTHF is the co-substrate for production of methionine (from homocysteine) and polyamines. Inside cell, folates as polyglutamates (PG) create an inter-convertible pool (ICP) which promotes several reactions with 1-carbon fragments wherein methyl and formyl groups are donated (primarily by serine to glycine) and this leads to various nucleic acid/nucleotide biosynthesis. All 1-carbon transfer reactions regenerate THF. The exception to the latter is production of dihdrofolate (DHF) from folate substrate while converting deoxyuridylate (dUMP) to dTMP. An important enzyme dihydrofolate reductase (DHFR) converts DHF to THF which is the essential active form of folate in the ICP. Several drugs, including MTX block DHFR to produce a relative state of intracellular folate deficiency while the tissues are rich in folates. MTX is a competitive inhibitor of DHFR and enters the cell through reduced folate carrier (RFC) active transport system. MTX forms PG intracellularly by the enzyme folylpolygluatamate synthase (FPGS); another enzyme gamma glutamyl hydrolase (GGH) reverses this process to cause MTX efflux from the cell. The PG forms retain MTX inside the cell as MTXPG and is responsible for its several effects besides inhibiting DHFR, (i) it inhibits thymidylate synthetase (TS) which converts deoxyuridylate (dUMP) to dTMP in the de novo pyrimidine pathway, (ii) though not a direct target of MTX, methylenetetrahydrofoate reductase (MTHFR) to an important enzyme in the folic acid pathway which is influenced by the MTX effects on the intracellular folate pool, (iii) it affects purine synthesis pathways by inhibiting 5-aminoimidazole-4-carboxamide ribonucleotide formyltranferase (ATIC) to cause intracellular accumulation of 5-aminoimidazole-4-carboxamide ribonucleotide (AICAR). AICAR inhibits adenosine deaminase (ADA) and AMP deaminase to cause intracellular accumulation of adenosine and related nucleotides which then get dephosphorylated to finally result in increased extracellular adenosine. Adenosine is a potent anti-inflammatory agent. Methionine synthase (MS) converts homocysteine (if excess can confer cardiac risk) to methionine required for several cellular DNA/RNA metabolism pathways. Serine hydroxymethyltransferase1 (SHMT1) operates on the DHF-THF pathway. ATP-binding cassette (ABC) family (7 distinct families A-G) of transporter proteins are responsible for MTX efflux from the cell. Multidrug resistant protein1 (MDR1), an active transporter system, is related to the ABC system in expelling several organic anions including MTX from the cell.

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Recently, several studies have described SNPs of the genes involved in folate metabolism [6] and their role in related diseases [7],[8],[9],[10] . Though inadequate, data also suggest that these SNPs may influence therapeutic outcome by playing a critical role in the metabolism of drugs targeting folate biosynthetic pathway [6],[11] . Importantly, racial and ethnic differences in the occurrence of SNPs have been proposed [12],[13],[14] .

The data on the distribution of SNPs (folate pathway) in the Indian population are sparse. Any study on the frequencies of SNPs in disease must be preceded by their distribution in the healthy population. The present study aims to determine the allelic frequency of SNPs across intracellular folate metabolic pathway in healthy Indian subjects. Allele frequencies were also compared with previously reported frequencies by others to address the racial and inter-ethnic differences.


   Material and Methods Top


Study population: One hundred and forty four unrelated healthy subjects of either sex were enrolled in the study from the outpatient rheumatology referral service of Centre for Rheumatic diseases, Pune (west India) from April 2007- January 2008. There were 70 males and 74 females with mean age (SD) of 23.22 (5.3) years. The study protocol was approved by the Ethics Committee of Centre for Rheumatic Diseases, Pune. Subjects willing to participate provided consent as per the guidelines from the Institutional ethics Committee.

Genotype analysis: Post-consent, peripheral blood sample (4-5 ml) was drawn from each healthy subject, and genomic DNA was extracted using Miller's protocol [15] . A total of 12 polymorphisms in 9 genes of MTX metabolism (including transporters) were studied. The genes analyzed were MTHFR: Methylenetetrahydrofoate reductase; TS: Thymidylate synthase; RFC1: Reduce folate carrier1; MS: Methionine synthase; SHMT1: Serine hydroxymethyltransferase1; MDR1: Multidrug resistant protein1; GGH: γ glutamyl hydrolase; ATIC: Aminoimidazol carboxamide ribonucleotide transformylase; MTRR: Methionine synthase reductase. Genotyping was performed using PCR-RFLP technique for MTHFR A1298C (rs1801131) and C677T (rs1801133), TS 5'UTR repeat and 3'UTR deletion, RFC1G80A (rs1051266), MS A2756G (rs1805087), MDR1C3435T (rs1045642) and C1236T (rs1128503), GGH C401T (rs3758149), MTRR A66G (rs1801394) polymorphisms (oligonucleotides-Integrated Biotechnologies, restriction endonucleases-New England Biolabs) [16],[17],[18] . Real-time Taqman allelic discrimination assay (Applied Biosystems, CA, USA) was used for genotyping ATIC C347G (rs2372536), SHMT1C1420T (rs17829445) polymorphisms [19] . After restriction digestion, digested products were visualized on 2 per cent agarose gel except for 5'UTR repeats of TS which were directly visualized after the PCR. Real-time Taqman allelic discrimination assays were performed according to protocols provided by the manufacturer (Applied Biosystems, CA, USA). Samples containing mutants were reanalyzed to ensure the accuracy of the method. There was 100 per cent reproducibility.

Statistical analysis: Statistical analysis was performed using the Graph Pad Prism statistical software (San Diego CA. USA). Allele frequencies were determined for 12 polymorphisms in nine genes in the folate-MTX metabolic pathway in 144 healthy subjects. The frequency of each allele in the study population is given in the [Table 1]. Differences in allele frequencies between healthy subjects and other ethnic groups were measured by Fisher exact test. P< 0.05 was considered statistically significant. The observed genotype frequencies of polymorphisms studied were compared with expected frequencies according to Hardy-Weinberg equilibrium (HWE) using χ2 tests.
Table 1: The allele frequency of SNP across intracellular folate metabolic pathway in Indian population in the current study and comparison with others


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   Results and Discussion Top


We examined allele frequencies for 12 polymorphisms in folate and MTX metabolism among healthy subjects and compared them with the allele distribution in other ethnic groups [Table 1]. Allele frequencies obtained for the present study were MTHFR 677T (10%) and 1298 C (30%), TS 3UTR 0bp (46%), MDR1 3435T and 1236T (62%), RFC1 80A (57%), GGH 401T (61%), MS 2756G (34%), ATIC 347G (52%) and SHMT1 1420T (80%). The complete genotype distribution for healthy subjects is represented in [Table 2]. Genotype frequencies for all 12 SNPs were in HWE for healthy subjects.
Table 2: Genotype distribution of 12 SNPs in folate metabolism among healthy subjects


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Healthy subjects from our study were compared with healthy subjects from European, African and Indian population [Table 1]. MTHFR 677T variant allele frequency in European population (32%, P<0.001) was higher than Indian healthy subjects (10%) while TS 3 UTR 0bp (deletion) polymorphism was lower in European (27%, P<0. 001) than Indian (46%). There was no difference in distribution of MTHFR 1298C, MDR1 1236T and MDR1 3435T variant allele frequencies between Indian and European healthy subjects. The occurrence of MTHFR 677T (4%, P<0.001), MTHFR 1298C (13%, P<0.001), MDR1 3435T (10%, P<0.001) and MDR1 1236T (14%, P<0.001) variant alleles was significantly lower in Africans as against Indian healthy subjects.

Comparison of our healthy subjects with Indian study from north India reveals that there was significant difference in the occurrence of GGH 401T, RFC1 80A and MDR1 1236T variant alleles. The occurrence of GGH 401T (61%) andRFC1 80A (57%) in our healthy subjects was higher than north Indian subjects 25 and 28 per cent (P<0.0001) respectively while MDR1 1236T was higher in north Indians (72%) than our healthy subjects (62%, P<0.05). Thus the current report supports the previous findings that the allele or haplotype frequencies of several important polymorphisms in folate pathway vary with race [12],[13],[14] .

The allele frequencies of MTHFR 1298C and 677T, TYMS 3' UTR deletion and MDR1 3435T and 1236T in healthy subjects are different in Indian subjects as compared to Europeans and Africans [12] . The latter conclusion is limited by the fact that we could only find data on five polymorphisms in reports of European and African healthy population. We have also compared our data with north Indian population [20] . There are differences in the occurrence of GGH 401T, RFC1 80A and MDR1 1236T variant alleles within Indian population. This intra-ethnic difference can be because Indian population is a conglomeration of multiple culture and evolutionary histories. The evolutionary antiquity of Indian ethnic groups and subsequent migration from central Asia, west Asia and southern China has resulted in a rich tapestry of socio-cultural, linguistic and biological diversity [21] .

SNPs have been reported per se to impair folate-mediated one-carbon metabolic pathways and contribute to increased risk of several disorders of folate deficiency [22],[23],[24] . Folate antagonist MTX is among the best-tolerated disease-modifying antirheumatic drugs (DMARDs) used in the treatment of RA, but is confounded by unpredicted interpatient variability in clinical response and toxicity [6],[25] . To unravel the probable associations among variations in drug pathway alleles and MTX response in Indian rheumatoid arthritis (RA) patients, it is essential to first explore the relationship between the genes coding for folate metabolic pathway and ethnicity. The results of the current study are a step forward in that direction.

To our knowledge this is the first report on 12 polymorphisms in 9 genes of folate metabolic pathway in Indian population. We have not analyzed polymorphisms in folypolyglutamate synthase (FPGS) and dihydrofolate reductase (DHFR). We report ethnic differences in the SNPs in genes coding folate biosynthetic metabolic intracellular pathway. It may not be appropriate to extrapolate the findings of genetic associations influencing folate antagonist treatment response in subjects belonging to Caucasian and African ethnicity to the Indian population. Thus knowledge of allelic frequency distribution within a population can be useful in optimizing doses for therapeutic efficacy, identifying potential risk groups for adverse drug reactions and explaining therapeutic failures.


   Acknowledgment Top


The first author (YG) thanks Council for Scientific and Industrial Research, New Delhi, India, for senior research fellowship. The authors thank the invaluable assistance from CRD for providing logistic and patient support (Ms Anuradha V and Ms Manjit S), Dr Anjali Radkar for giving statistical inputs and Dr Anand Hardikar for providing Applied Biosystems 7500 real time PCR facility at National Center for Cell Sciences, Pune.

 
   References Top

1.Shane B. Folate chemistry and metabolism. In: Bailey LB, editor. Folate in health and disease. New York: Marcel Dekker; 1995. p. 1-22.   Back to cited text no. 1
    
2.Wagner C. Biochemical role of folate in cellular metabolism. In: Bailey LB, editor. Folate in health and disease. New York: Marcel Dekker; 1995. p. 23-42.   Back to cited text no. 2
    
3.Kim YI. Folate and DNA methylation: A mechanistic link between folate deficiency and colorectal cancer? Cancer Epidemiol Biomarkers Prev 2004; 13 : 511-9.   Back to cited text no. 3
[PUBMED]  [FULLTEXT]  
4.Bailey LB, Rampersaud GC, Kauwell GP. Folic acid supplements and fortification affect the risk for neural tube defects, vascular disease and cancer: evolving science. J Nutr 2003; 133 : 1961S-68S.   Back to cited text no. 4
[PUBMED]  [FULLTEXT]  
5.Kim YI. Role of folate in colon cancer development and progression. J Nutr 2003; 133 : 3731S-39S.   Back to cited text no. 5
[PUBMED]  [FULLTEXT]  
6.Ulrich CM, Robien K, Sparks R. Pharmacogenetics and folate metabolism: a promising direction. Pharmacogenomics 2002; 3 : 299-313.   Back to cited text no. 6
[PUBMED]  [FULLTEXT]  
7.Fredriksen A, Meyer K, Ueland PM, Vollset SE, Grotmol T, Schneede J. Large-scale population-based metabolic phenotyping of thirteen genetic polymorphisms related to one-carbon metabolism. Hum Mutat 2007; 28 : 856-65.   Back to cited text no. 7
[PUBMED]  [FULLTEXT]  
8.Koushik A, Kraft P, Fuchs CS, Hankinson SE, Willett WC, Giovannucci EL, et al. Nonsynonymous polymorphisms in genes in the one-carbon metabolism pathway and associations with colorectal cancer. Cancer Epidemiol Biomarkers Prev 2006; 15 : 2408-17.   Back to cited text no. 8
[PUBMED]  [FULLTEXT]  
9.Lissowska J, Gaudet MM, Brinton LA, Chanock SJ, Peplonska B, Welch R, et al. Genetic polymorphisms in the one-carbon metabolism pathway and breast cancer risk: a population-based case-control study and meta-analyses. Int J Cancer 2007; 120 : 2696-03.   Back to cited text no. 9
[PUBMED]  [FULLTEXT]  
10.Moore LE, Malats N, Rothman N, Real FX, Kogevinas M, Karami S, et al. Polymorphisms in one-carbon metabolism and trans-sulfuration pathway genes and susceptibility to bladder cancer. Int J Cancer 2007; 120 : 2452-8.   Back to cited text no. 10
[PUBMED]  [FULLTEXT]  
11.Carr DF, Whiteley G, Alfirevic A, Pirmohamed M. Investigation of inter-individual variability of the one-carbon folate pathway: a bioinformatic and genetic review. Pharmacogenomics J 2009; 9 : 291-305.   Back to cited text no. 11
    
12.Ranganathan P, Culverhouse R, Marsh S, Ahluwalia R, Shannon WD, Eisen S, et al. Single nucleotide polymorphism profiling across the methotrexate pathway in normal subjects and patients with rheumatoid arthritis. Pharmacogenomics 2004; 5 : 559-69 .  Back to cited text no. 12
[PUBMED]  [FULLTEXT]  
13.Hughes LB, Beasley T m0 , Patel H, Tiwari HK, Morgan S l0 , Baggott JE, et al. Racial/ethnic differences in allele frequencies of single nucleotide polymorphisms in the methylenetetrahydrofolate reductase gene and their influence on response to methotrexate in rheumatoid arthritis. Ann Rheum Dis 2006; 65 : 1213-8.   Back to cited text no. 13
    
14.Ranganathan P, Culverhouse R, Marsh S, Mody A, Scott-Horton TJ, Brasington R, et al. Methotrexate (MTX) pathway gene polymorphisms and their effects on MTX toxicity in Caucasian and African American patients with rheumatoid arthritis. J Rheumatol 2008; 35 : 572-9.   Back to cited text no. 14
[PUBMED]  [FULLTEXT]  
15.Miller SA, Dykes DD, Polesky HF.A simple salting out procedure for extracting DNA from human nucleated cells. Nucleic Acids Res 1988; 16 : 1215.   Back to cited text no. 15
[PUBMED]  [FULLTEXT]  
16.Kumagai K, Hiyama K, Oyama T, Maeda H, Kohno N. Polymorphisms in the thymidylate synthase and methylenetetrahydrofolate reductase genes and sensitivity to the low-dose methotrexate therapy in patients with rheumatoid arthritis. Int J Mol Med 2003; 11 : 593-600.   Back to cited text no. 16
[PUBMED]  [FULLTEXT]  
17.Dervieux T, Kremer J, Lein DO, Capps R, Barham R, Meyer G, et al. Contribution of common polymorphisms in reduced folatecarrier and glutamylhydrolase to methotrexate polyglutamate levels in patients with rheumatoid arthritis. Pharmacogenetics 2004; 14 : 733-9.   Back to cited text no. 17
[PUBMED]  [FULLTEXT]  
18.Kim RB, Leake BF, Choo EF, Dresser GK, Kubba SV, Schwarz UI, et al. Identification of functionally variant MDR1 alleles among European Americans and African Americans. Clin Pharmacol Ther 2001; 70 : 189-99.   Back to cited text no. 18
[PUBMED]  [FULLTEXT]  
19.Weisman MH, Furst DE, Park GS, Kremer JM, Smith KM, Wallace DJ, et al. Risk genotypes in folate-dependent enzymes and their association with methotrexate-related side effects in rheumatoid arthritis. Arthritis Rheum 2006; 54 : 607-12.   Back to cited text no. 19
[PUBMED]  [FULLTEXT]  
20.Sharma S, Das M, Kumar A, Marwaha V, Shankar S, Aneja R, et al. Interaction of genes from influx-metabolism-efflux pathwayand their influence on methotrexate efficacy in rheumatoid arthritis patients among Indians. Pharmacogenet Genomics 2008; 18 : 1041-9.   Back to cited text no. 20
[PUBMED]  [FULLTEXT]  
21.Indian Genome Variation Consortium. Genetic landscape of the people of India: a canvas for disease gene exploration. J Genet 2008; 87 : 3-20.   Back to cited text no. 21
    
22.Stover PJ. Physiology of folate and vitamin B12 in health and disease. Nutr Rev 2004; 62 : S3-12.   Back to cited text no. 22
[PUBMED]  [FULLTEXT]  
23.Robien K, Ulrich CM.5,10-Methylenetetrahydrofolate reductase polymorphisms and leukemia risk : A huge minireview. Am J Epidemiol 2003; 157 : 571-82.   Back to cited text no. 23
[PUBMED]  [FULLTEXT]  
24.O'leary VB, Pangilinan F, Cox C, Parle-McDermott A, Conley M, Molloy AM, et al. Members of the Birth Defects Research Group. Reduced folate carrier polymorphism and neural tube defects. Mol Genet Metab 2006; 87 : 364-9.   Back to cited text no. 24
[PUBMED]  [FULLTEXT]  
25.Ranganathan P, McLeod HL. Methotrexate pharmacogenetics the first step toward individualized therapy in rheumatoid arthritis. Arthritis Rheum 2006; 54 : 1366-77.  Back to cited text no. 25
[PUBMED]  [FULLTEXT]  


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