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ORIGINAL RESEARCH
published: xx April 2015
doi: 10.3389/fped.2015.00034
Evaluation of gestational diabetes
mellitus risk in South Indian women
based on MTHFR (C677T) and FVL
(G1691A) mutations
Imran Ali Khan 1,2,3 , Noor Ahmad Shaik 4 , Vasundhara Kamineni 5 , Parveen Jahan 3 ,
Qurratulain Hasan 1,2 and Pragna Rao 6*
1
Department of Genetics and Molecular Medicine, Kamineni Hospitals, Hyderabad, India, 2 Department of Genetics, Vasavi
Medical and Research Center, Hyderabad, India, 3 Department of Genetics and Biotechnology, Osmania University,
Hyderabad, India, 4 Department of Genetic Medicine, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi
Arabia, 5 Department of Gynecology and Obstetrics, Kamineni Hospitals, Hyderabad, India, 6 Department of Biochemistry,
Kasturba Medical College, Manipal University, Manipal, Karnataka, India
Edited by:
Marijana Pericic Salihovic,
Institute for Anthropological Research,
Croatia
Reviewed by:
Suresh Kumar Chitta,
Sri Krishnadevaraya University, India
Shaik Abdul Nabi,
University of Hyderabad, India
Tatjana Skaric-Juric,
Institute for Anthropological Research,
Croatia
*Correspondence:
Pragna Rao,
Manipal, India
drpragnarao@gmail.com
We aimed to scrutinize the extent to which single amino acid substitutions in the
MTHFR and factor V Leiden (FVL) genes affect the risk of gestational diabetes mellitus
(GDM) in pregnant women of South Indian descendant. This case–control study was
implemented once the ethical approval has been obtained. Overall, 237 women were
recruited in this study: 137 had been diagnosed with GDM and the remaining 100
women were used as normal controls or non-GDM. The diagnosis of GDM was confirmed
with biochemical analysis, i.e., GCT and oral glucose tolerance tests. Five milliliters of
peripheral blood was collected and used for biochemical and molecular analyses. DNA
was isolated, and genotyping for MTHFR (C677T) and FVL (G1691A) mutations was
performed using PCR–RFLP. FVL (G1691A) locus was not polymorphic in the investigated
sample. There was no significant difference in the allele and genotype frequencies of
C677T polymorphism between GDM and non-GDM women (p = 0.8892).
Keywords: gestational diabetes mellitus, MTHFR, FVL, C677T, G1691A
Introduction
Specialty section:
This article was submitted to Genetic
Disorders, a section of the journal
Frontiers in Pediatrics
Received: 26 November 2014
Accepted: 07 April 2015
Published: xx April 2015
Citation:
Khan IA, Shaik NA, Kamineni V, Jahan
P, Hasan Q and Rao P (2015)
Evaluation of gestational diabetes
mellitus risk in South Indian women
based on MTHFR (C677T) and FVL
(G1691A) mutations.
Front. Pediatr. 3:34.
doi: 10.3389/fped.2015.00034
Frontiers in Pediatrics | www.frontiersin.org
Gestational diabetes mellitus (GDM) is among the most common metabolic disorders affecting
pregnant women characterized by glucose intolerance of variable severity, which is usually detected
at the onset of or during pregnancy (1). GDM is treated by insulin or dietary modifications. It
typically develops during the secondary trimester of pregnancy and resolves after the delivery (2).
The risk of GDM women is intensified by advanced maternal age, ancestral disparities, obesity, and
a family history of diabetes (3); however, the exact etiology is unknown due to limited knowledge
of genetic factors (4). GDM patients are at increased risk of gestational hypertension, pre-eclampsia
during pregnancy, and type 2 diabetes (T2DM), as well as metabolic syndromes in later life (5).
Pregnant women with a history of GDM are at greater risk of developing T2DM, and a family
history of diabetes predisposes pregnant women to GDM (6). Elevated fasting glucose and insulin
levels are observed in women who do not have GDM but have a family history of the disease (7).
Individuals of Asian descents have two- to sevenfold greater risk of developing GDM than their
Caucasian counterparts in developed countries (8). Various epidemiological studies have reported
an association between metabolic disorders and risk of developing T2DM or GDM, and numerous
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efforts have been made to identify pathogenic mutations in
nuclear and mitochondrial genomes that are linked to both types
of diabetes. Various susceptibility loci have been identified by
linkage analyses and genome-wide association studies (1).
The methylenetetrahydrofolate reductase (MTHFR) gene has
been mapped to chromosomal region 1p36.3 and comprises 11
exons encoding 5′ , 10′ -MTHFR (9), a key regulatory enzyme in
folate metabolism that converts 5′ ,10′ -MTHF to 5′ -MTHF, the
methyl donor for the remethylation of homocysteine to methionine (10). C677T is a common missense mutation in the gene
that results in the substitution of alanine for valine at amino
acid position 222. The A222V mutation is associated with a 50%
reduction in MTHFR enzymatic activity, which increases plasma
homocysteine and decreases plasma folic acid concentrations (11,
12). The factor V Leiden (FVL) gene is involved in the blood
coagulation; G1691A mutation results in the substitution of guanine with arginine at the amino acid position 506, yielding a
defective FVL protein that is unable to interact with the activated
protein C, which was associated with increased coagulation activity and susceptibility to thromboembolism in previous studies.
This mutation has also been linked to increased thrombosis risk
and mortality in women following delivery/pregnancy (13, 14).
Numerous studies have found an association between complications during pregnancy and inherited thrombophilias caused
by mutations in MTHFR and FVL (15–17). However, there have
been no studies to date addressing the potential role of MTHFR
and FVL mutations in the development of GDM in the Indian
population. The objective of this study was to investigate the
extent to which single amino acid substitutions in the MTHFR and
FVL genes affect the risk of GDM in pregnant women of South
Indian descent.
of blood was collected and stored in ethylenediamine tetraacetic
acid (EDTA) in order to screen for MTHFR and FVL mutations.
Among GDM patients, 58.4% had a family history of T2DM.
Screening and management of diabetes during pregnancy were
performed by qualified gynecologists according to guidelines set
by the American Diabetes Association (18).
Clinical and Biochemical Analyses
Gestational diabetes mellitus cases were identified using the glucose challenge test between weeks 24 and 28 of gestation; 50 g of
glucose was administered to pregnant women with fasting plasma
glucose levels exceeding 130 mg/dL. The oral glucose tolerance
test (OGTT) was then performed using 100 g of glucose following an overnight fast and 3 days on an unrestricted diet. Fasting
plasma samples were drawn 1–3 h after glucose administration. In
this study, GDM cases were defined as those whose glucose levels
met or exceeded threshold values described by Khan et al. (19).
Women diagnosed with T1DM, T2DM, or any other form of diabetes before pregnancy, were excluded from the study. Body mass
index (BMI) was calculated as weight/height2 (kg/m2 ). Subjects
with BMI >25 kg/m2 were identified as overweight, while a BMI
>30 kg/m2 was categorized as obese. Blood samples were collected
in order to measure the fasting blood sugar (FBS) early in the
morning after overnight fast for more than 10 h and post-prandial
blood glucose (PPBG) levels after 2 h of the FBS.
DNA Extraction and Genotyping
Genomic DNA was extracted from blood samples stored in EDTA
using previously described methods (20). The DNA was dissolved in Tris–EDTA buffer at 100 ng/µL and stored at −80°C
prior to the molecular analysis. C677T (MTHFR) and G1691A
(FVL) mutations were screened using PCR and restriction fragment length polymorphism analysis performed with previously
published primers and restriction enzymes (21) (Table 1). PCR
amplification conditions were as follows; 35 cycles of denaturation
at 95°C for 5 min, followed by annealing at 68°C for 30 s (C677T)
or 56°C for 30 s (G1691A), and extension at 72°C for 5 min. PCR
products were digested with appropriate restriction enzymes in
a total volume of 20 µL for 16 h at 37°C, and analyzed by 2.5%
agarose gel electrophoresis with ethidium bromide staining.
Materials and Methods
Ethics Statement
The study protocol was approved by the institutional ethics committee at Kamineni hospitals. Written, informed consent was
obtained from all subjects, who were recruited by a clinical
research midwife.
Study Subjects
Statistical Analysis
This study was carried out in South Indian population from
2007 to 2011. Study subjects were recruited from Kamineni and
Muslim maternity hospitals, Hyderabad. A total of 237 pregnant
women participated in the study; of these, 137 had GDM, and
100 had normal glucose levels during pregnancy (i.e., the nonGDM group). A diagnosis of GDM was made by analyzing 3 mL
of serum samples obtained from each subject; an additional 2 mL
Hardy–Weinberg equilibrium was calculated in the cases and
controls as described in our prior study (22). Differences between
genotype/allele frequencies of GDM and non-GDM subjects were
calculated using T test. The Yates correction was applied prior to
analyzing genotype frequencies of MTHFR and FVL mutations.
The odds ratio (OR) for genotype/phenotype relations and its 95%
TABLE 1 | Details for genotyping MTHFR and FVL genes.
Gene
SNP
location
rs no.
Amino acid
substitution
MTHFR
Exon 5
rs1801133
Ala 222 Val
FVL
Exon 10
rs6020
Arg 506 Gln
Frontiers in Pediatrics | www.frontiersin.org
Forward primer
Reverse primer
TGAAGGAGAAGGTGT
CTGCGGGA
TCAGGCAGGAACAA
CACCAT
GGACGGTGCGGTG
AGAGTG
GGTTACTTCAAGGACAAAA
TACCTGTAAAGCT
2
Fragment
Annealing
temperature
Enzyme
198 bp
68°C
HinfI
241 bp
56°C
HindIII
April 2015 | Volume 3 | Article 34
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Mutational studies in gestational diabetes mellitus
TABLE 2 | Clinical details of GDM cases and controls.
S. No.
Factors
1
2
3
4
5
6
7
8
Age (years)
BMI (kg/m2 )
Weight (kg)
Mean gestational age (weeks)
FBS (mg/dL)
PPBG (mg/dL)
Family history
Insulin/diet therapy (Rx )
GDM (n = 137)
26.7 ± 5.1
26.8 ± 3.93
69.3 ± 10.18
24.4 ± 5.0
110.6 ± 3.93
158.80 ± 47.76
80 (58.4%)
81 (59.1%)/56 (40.9%)
p Valuea
Controls (n = 100)
24.6 ± 3.55
24.1 ± 3.55
51.2 ± 6.26
NA
99.24 ± 11.37
112.00 ± 39.70
56 (56%)
NA
0.0001
0.28
0.0001
NA
<0.0001
0.05
0.66
NA
a
t-Test applies to calculate the p value between GDM and non-GDM subjects.
NA, not analyzed/not applicable, BMI, body mass index; FBS, fasting blood sugar; PPBG, post-prandial blood glucose.
confidence interval (CI) was calculated performing chi-square test
in the cross-tabs procedure for a 2 × 2 tables using SPSS software.
All statistical analyses were performed using SPSS version 19.0
(SPSS Inc., Chicago, IL, USA).
Results
Characteristics of the Study Population
The clinical characteristics of GDM patients and non-GDM
subjects are listed in Table 2. GDM cases (n = 137) were
aged 22–38 years with a mean age of 26.7 ± 5.1 years, whereas
the age and mean age for controls (n = 137) were 17–34
and 24.6 ± 3.55 years. The pre-pregnancy BMI range was
19.8–35.6 kg/m2 (mean: 26.8 ± 3.93 kg/m2 ) for GDM and
19–31.1 kg/m2 (mean: 24.1 ± 3.55 kg/m2 ) for controls (p = 0.28);
40.9% of individuals managed the diabetes with appropriate diet
therapy and exercise, while 59.1% of patients required four to
eight units of insulin therapy over the entire prenatal period.
Age, weight, FBS, and PPBG values differed significantly between
GDM cases and controls (p < 0.05).
FIGURE 1 | Three percent agarose gel consist of digested products of
C677T mutation. It represents the 3% agarose gel picture. Lane 1 consists
of 100 bp ladder. Lanes 2–10 consist of homozygous CC genotypes and lane
11 consists of heterozygous CT genotype.
TABLE 3 | Allele and genotype frequencies in GDM cases and controls for
MTHFR gene.
Genotype and allele
C677T Allele and Genotype Frequencies
Genotype and allele frequencies were in Hardy–Weinberg equilibrium in both groups. The PCR product encompassing the C677T
mutation was 198 bp in length; digestion with HinfI (G↓ ANTC)
yielded 198 and 175/23 bp fragments representing C and T alleles,
respectively (Figure 1). Genotype frequencies for C677T CC, CT,
and TT among GDM cases were 81.8, 18.2, and 0%, respectively.
The frequencies of the T and C alleles were 9 and 91%. In control
subjects, the frequencies of the CC, CT, and TT genotypes were
82, 18, and 0%, respectively, and C and T allele frequencies were
91 and 9%. Table 3 presents just the distribution of genotypes
and alleles by GDM status. There was no evidence of a disease association for any of the allelic or genotype classes (OR:
-1.015; 95% CI = 0.5378–1.916; p = 0.8892 and OR: -1.011; 95%
CI = 0.5211–1.961; p = 0.9746).
Controls
(n = 100)
N (%)
N (%)
p Valuea
MTHFR (rs1801133)
CC
CT
TT
C
T
a
112 (81.8)
25 (18.2)
0 (0)
249 (0.09)
25 (0.09)
82 (82)
18 (18)
0 (0)
182 (91)
18 (9)
0.96a
0.96a
Chi-square p value.
Discussion
This study investigated whether C677T and G1691A mutations
are associated with the development of GDM among individuals of South Indian descent by genotyping age-matched cases
and pregnant non-GDM subjects. The results did not reveal any
association between investigated mutations and GDM risk in this
study population.
Hyperglycemia is associated with an increased risk of unfavorable outcome in adults (T2DM), children (T1DM), and pregnant
G1691A Allele and Genotype Frequencies
A 241-bp PCR product encompassing the G1691A mutation was
digested with HindIII (A↓ AGCTT), yielding a 209-bp fragment
indicating the presence of the A allele (Figure 2). Only the GG
(100%) genotype was observed in both cases and controls; therefore, this locus was not further analyzed.
Frontiers in Pediatrics | www.frontiersin.org
GDM cases
(n = 137)
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The prior report from Australian population confirmed that
16.6% women harboring the MTHFR C677T gene mutation developed at least one pregnancy complication; however, the effect was
restricted to women with small for gestational age (SGA) infants.
There were no differences in genotype distribution among women
with intrauterine fetal death, pre-eclampsia, or preterm delivery,
and the study concluded that the mutation was a genetic marker
for identifying women who are at increased risk of having an SGA
infant (30).
Diabetes is a risk factor for thrombotic events (31) and
atherothrombosis (32). The pathogenesis of diabetes involves
hypercoagulability of the blood due to several factors such as
the non-enzymatic glycosylation of clotting inhibitors. Patients
who are carriers of a thrombophilic gene variant (e.g., factor V
A1691G and\or prothrombin A20210G) or other thrombotic risk
factors are susceptible to the inherited or acquired thrombophilia.
FVL mutations lead to a thrombophilic condition that is heritable
both in hetero- and homozygous forms (33). Several previous
studies have investigated a potential relationship between FVL
gene mutations and diabetes incidence, and there is one report of
a possible co-segregation of FVL and T2DM risk alleles (34).
A prevalence of 4.6% for the A allele of FVL G1691A (rs6020)
has been reported among coronary artery disease patients with
T2DM (35). In a later study, these authors reported prevalence
rates for this mutation of 3.2, 1.6, and 4.9% among Iranian T2DM
patients, T2DM patients with microalbuminuria, and normoalbuminuric T2DM patients, respectively, suggesting that the FVL
G1691A mutation is not associated with microalbuminuria in this
population (14). This mutation has also been implicated in the
pathogenesis of thrombosis (36).
No association was found between FVL mutations and T2DM
among Lebanese (36), Dutch (37), Japanese (38), and Caucasian
patients (39).
In conclusion, MTHFR (C677T) and FVL (G1691A) mutations
are not likely to be genetic risk factors for the development of
GDM in South Indian women.
FIGURE 2 | Digested and undigested PCR products appear on 3%
agarose gel for (G1691A) mutation. Digested PCR products run on 3%
agarose gel. Lane 1 represents 100 bp DNA ladder. Lanes 2–5 represent
homozygous GG genotypes.
women (GDM) (23). MTHFR and FVL gene mutations are
considered risk factors for hereditary thrombophilia and may
influence the development of complications during pregnancy
(24). We sought to determine whether C677T and G1691A
mutations are associated with altered glucose levels during pregnancy, which could indicate GDM risk. Cases and controls differed significantly in terms of age, weight, FBS, and PPBG, but
not with respect to genotype frequencies at either locus. These
results suggest that the C677T and G1691A mutations are not
involved in the development of GDM during pregnancy in Indian
population.
The frequency of MTHFR gene mutations varies across geographical and ethnic groups. For example, the frequency of C677T
in T2DM cases fluctuates between 40 and 49%, depending on the
ethnicity of the study cohort (India, 40%; Turkey, 49%; Tunisia,
45%; Brazil, 46%; and China, 44%) (25–29). The C677T genotype frequencies (CC and CT) between north (25) and South
Indian populations in T2DM and GDM subjects are varied. Both
environmental and genetic factors contribute to the development
and progression of GDM during pregnancy; this work showed
that MTHFR mutations have no role in GDM in South Indian
population.
Acknowledgments
Gratitude is expressed to all the volunteers who have participated
in this study. We are grateful to Indian Council for Medical
Research for providing SRF to IAK and funding of this research
(Sanction no. 5-3-8-39-2007; RHN).
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Conflict of Interest Statement: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be
construed as a potential conflict of interest. The Review Editor Suresh Kumar Chitta
declares that, despite having collaborated on a publication in the last 2 years with
author Noor Ahmad Shaik, the review process was handled objectively.
Copyright © 2015 Khan, Shaik, Kamineni, Jahan, Hasan and Rao. This is an openaccess article distributed under the terms of the Creative Commons Attribution License
(CC BY). The use, distribution or reproduction in other forums is permitted, provided
the original author(s) or licensor are credited and that the original publication in this
journal is cited, in accordance with accepted academic practice. No use, distribution
or reproduction is permitted which does not comply with these terms.
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