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  1. Montazeri S, Nalliah S, Radhakrishnan AK
    Hereditas, 2010 Apr;147(2):94-102.
    PMID: 20536548 DOI: 10.1111/j.1601-5223.2009.02134.x
    Gestational diabetes mellitus (GDM), defined as carbohydrate intolerance diagnosed for the first time during pregnancy, affects both maternal and fetal health. Possession of a specific genetic polymorphism can be a predisposing factor for susceptibility to some diseases. The aim of this study was to investigate the association between single nucleotide polymorphisms (SNP) in the promoter gene of interleukin-10 (IL-10) as well as tumor necrosis factor-alpha (TNF alpha) with the development of GDM. Two hundred and twelve consecutive series of eligible normal pregnant women (controls) and gestational diabetes mellitus women were selected based on the study's inclusion and exclusion criteria. DNA was extracted from blood and genotyped for IL-10 at three positions and TNF alpha for gene polymorphism using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Plasma levels of IL-10 and TNF alpha at different gestational periods as well as postpartum were quantified using enzyme linked immunosorbent assay (ELISA). The results of the study showed that the difference in the frequency of SNP at position -597 in the promoter of the human IL-10 gene between the control and GDM groups was statistically significant (p < 0.05). In contrast, there was no significant difference in the frequency of SNP at the other two sites in the promoter region of the human IL-10 gene (-824 and -1082) as well as position -308 in the promoter of the human TNF-alpha (p > 0.05). In addition, there was no significant difference between the two groups in terms of plasma levels of IL-10 as well as TNF alpha in different stages of pregnancy. SNP at position -597 was significantly associated with the development of GDM and shows potential for use as a predictive marker for GDM.
    Matched MeSH terms: Diabetes, Gestational/genetics*
  2. Montazeri S, Nalliah S, Radhakrishnan AK
    Diabetes Res Clin Pract, 2010 May;88(2):139-45.
    PMID: 20189261 DOI: 10.1016/j.diabres.2010.01.028
    OBJECTIVE: The aim of this study is to investigate if an association exists between single nucleotide polymorphism (SNP) in the tumor necrosis factor-alpha (TNF-alpha) and TNF-beta genes.
    METHODS: The DNA was extracted and SNP in the human TNF-alpha and TNF-beta genes at positions -308 (G/A) and 252 (A/G), respectively, was analyzed using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Plasma levels of TNF-alpha in different stages of pregnancy were quantified using enzyme linked immunosorbent assay (ELISA).
    RESULTS: There was no significant difference in genotype and allele frequency of SNP at position -308 (G/A) in the promoter region of the human TNF-alpha gene as well as the SNP at position 252 (A/G) in the human TNF-beta gene between the GDM and control subjects. Using the logistic regression model, it was found that the SNP in the TNF-alpha as well as TNF-beta were not associated with development of GDM. In addition, the TNF-alpha levels in the plasma of GDM and control mothers were not significantly different.
    CONCLUSIONS: In the population studied, the SNP in position -308 (G/A) of the human TNF-alpha or in position 252 (A/G) of the human TNF-beta gene is not an independent risk factor or a predictor for GDM.
    Matched MeSH terms: Diabetes, Gestational/genetics*
  3. Lee KW, Ching SM, Ramachandran V, Tusimin M, Mohd Nordin N, Chong SC, et al.
    Genes (Basel), 2019 11 30;10(12).
    PMID: 31801286 DOI: 10.3390/genes10120988
    The association of candidate genes and psychological symptoms of depression, anxiety, and stress among women with gestational diabetes mellitus (GDM) in Malaysia was determined in this study, followed by the determination of their odds of getting psychological symptoms, adjusted for socio-demographical background, maternal, and clinical characteristics. Single nucleotide polymorphisms (SNPs) recorded a significant association between SNP of EPHX2 (rs17466684) and depression symptoms (AOR = 7.854, 95% CI = 1.330-46.360) and stress symptoms (AOR = 7.664, 95% CI = 1.579-37.197). Associations were also observed between stress symptoms and SNP of OXTR (rs53576) and (AOR = 2.981, 95% CI = 1.058-8.402) and SNP of NRG1 (rs2919375) (AOR = 9.894, 95% CI = 1.159-84.427). The SNP of EPHX2 (rs17466684) gene polymorphism is associated with depression symptoms among Malaysian women with GDM. SNP of EPHX2 (rs17466684), OXTR (rs53576) and NRG1 (rs2919375) are also associated with stress symptoms.
    Matched MeSH terms: Diabetes, Gestational/genetics*
  4. Jamalpour S, Zain SM, Mosavat M, Mohamed Z, Omar SZ
    Gene, 2018 Apr 15;650:34-40.
    PMID: 29410004 DOI: 10.1016/j.gene.2018.01.091
    BACKGROUND: Although the influence of a common variant in the glucokinase regulatory gene (GCKR rs780094) in type 2 diabetes mellitus has been well documented, less data however, is available of its role in gestational diabetes mellitus (GDM). We carried out a case control study to assess the association between GCKR rs780094 and GDM in the Asian, and also a meta-analysis to further assess the strength of the association.

    METHODS: Demographic, clinical and genotype data were determined for 1122 women (267 cases and 855 controls) recruited from the University of Malaya Medical Centre in the Klang Valley, Kuala Lumpur. Relevant articles were identified from Pubmed, Embase, MEDLINE, and Web of Science. Extraction of data was carried out and summary estimates of the association between rs780094 and GDM were examined.

    RESULTS: The frequency of risk allele C was significantly higher in the cases than controls (OR 1.34, 95% CI 1.09-1.66, P = 0.006). The C allele was also associated with increased level of random 2-hour fasting plasma glucose and pregravid body mass index. Meta-analysis further confirmed the association of the GCKR rs780094 with GDM (OR 1.32, 95% CI 1.14-1.52, P = 0.0001).

    CONCLUSION: This study strongly suggests that GCKR rs780094-C is associated with increased risk of GDM.

    Matched MeSH terms: Diabetes, Gestational/genetics*
  5. Chong YS, Cai S, Lin H, Soh SE, Lee YS, Leow MK, et al.
    BMC Pregnancy Childbirth, 2014 Oct 02;14:345.
    PMID: 25273851 DOI: 10.1186/1471-2393-14-345
    BACKGROUND: Universal and high-risk screening for gestational diabetes mellitus (GDM) has been widely studied and debated. Few studies have assessed GDM screening in Asian populations and even fewer have compared Asian ethnic groups in a single multi-ethnic population.

    METHODS: 1136 pregnant women (56.7% Chinese, 25.5% Malay and 17.8% Indian) from the Growing Up in Singapore Towards healthy Outcomes (GUSTO) birth cohort study were screened for GDM by 75-g oral glucose tolerance test (OGTT) at 26-28 weeks of gestation. GDM was defined using the World Health Organization (WHO) criteria. High-risk screening is based on the guidelines of the UK National Institute for Health and Clinical Excellence.

    RESULTS: Universal screening detected significantly more cases than high-risk screening [crude OR 2.2 (95% CI 1.7-2.8)], particularly for Chinese women [crude OR = 3.5 (95% CI 2.5-5.0)]. Pre-pregnancy BMI > 30 kg/m2 (adjusted OR = 3.4, 95% CI 1.5-7.9) and previous GDM history (adjusted OR = 6.6, 95% CI 1.2-37.3) were associated with increased risk of GDM in Malay women while GDM history was the only significant risk factor for GDM in Chinese women (adjusted OR = 4.7, 95% CI 2.0-11.0).

    CONCLUSION: Risk factors used in high-risk screening do not sufficiently predict GDM risk and failed to detect half the GDM cases in Asian women. Asian women, particularly Chinese, should be screened to avoid under-diagnosis of GDM and thereby optimize maternal and fetal outcomes.

    Matched MeSH terms: Diabetes, Gestational/genetics
  6. Lin PC, Lin WT, Yeh YH, Wung SF
    PLoS One, 2016;11(4):e0153044.
    PMID: 27058589 DOI: 10.1371/journal.pone.0153044
    BACKGROUND: There are racial and ethnic differences in the prevalence of gestational diabetes mellitus (GDM). Prior meta-analyses included small samples and very limited non-Caucasian populations. Studies to determine the relationship between transcription factor 7 like-2 (TCF7L2) rs7903146 polymorphism and risk of GDM in Hispanics/Latinos are recently available. The present meta-analysis was to estimate the impact of allele variants of TCF7L2 rs7903146 polymorphism on GDM susceptibility in overall population and racial/ethnic subgroups.

    METHODS: Literature was searched in multiple databases including PubMed, Web of Science, EMBASE (Ovid SP), Airiti Library, Medline Complete, and ProQuest up to July 2015. Allelic frequency for TCF7L2 rs7903146 polymorphism in GDM and control subjects was extracted and statistical analysis was performed using Comprehensive Meta-Analysis (CMA) 2.0 statistical software. The association between TCF7L2 rs7903146 polymorphism and GDM risk was assessed by pooled odd ratios (ORs) using five gene models (dominant, recessive, homozygote, heterozygote, and allele). Stratified analysis based on race/ethnicity was also conducted. The between-study heterogeneity and contribution of each single study to the final result was tested by Cochran Q test and sensitivity analyses, respectively. Publication bias was evaluated using Egger's linear regression test.

    RESULTS: A total of 16 studies involving 4,853 cases and 10,631 controls were included in this meta-analysis. Significant association between the T-allele of rs7903146 and GDM risk was observed under all genetic models, dominant model (OR = 1.44, 95% CI = 1.19-1.74), recessive model (OR = 1.35, 95% CI = 1.08-1.70), heterozygous model (OR = 1.31, 95% CI = 1.12-1.53), homozygous model (OR = 1.67, 95% CI = 1.31-2.12), and allele model (OR = 1.31, 95% CI = 1.12-1.53). Stratified analysis by race/ethnicity showed a statistically significant association between rs7903146 polymorphism and susceptibility to GDM under homozygous genetic model (TT versus CC) among whites, Hispanics/Latinos and Asians. Sensitivity analysis showed that the overall findings were robust to potentially influential decisions of the 16 studies included. No significant evidence for publication bias was observed in this meta-analysis for overall studies and subgroup studies.

    CONCLUSIONS: This meta-analysis showed that the T allele of TCF7L2 rs7903146 polymorphism was associated with susceptibility of GDM in overall population in white, Hispanic/Latino and Asian sub-groups. Asians with homozygous TT allele of rs7903146 polymorphism have highest risk of GDM (OR = 2.08) followed by Hispanics/Latinos (OR = 1.80) and whites (OR = 1.51). The highest and lowest frequency of T allele of rs7903146 was found in Malaysia and South Korea, respectively. Future studies are needed to profile genetic risk for GDM among high risk Asian and Pacific Islander subgroups.

    Matched MeSH terms: Diabetes, Gestational/genetics*
  7. Low CF, Mohd Tohit ER, Chong PP, Idris F
    Arch Gynecol Obstet, 2011 Jun;283(6):1255-60.
    PMID: 20552210 DOI: 10.1007/s00404-010-1548-4
    Diabetes and pregnancy can be associated in two ways: pregnancy that occurs in women who are already diabetic (diabetes of pre-gestational origin); and diabetes that occur in women who are already pregnant [gestational diabetes mellitus (GDM) (O'sullivan 1961)]. Patients with previous GDM history have higher risk of developing diabetes outside of pregnancy. Accumulating literature had suggested that adiponectin plays a role in the pathophysiology of this metabolic syndrome, and several of the common single nucleotide polymorphisms (SNP) in adiponectin gene have been identified in type 2 diabetes. Thus, one of the commonly found SNP was studied to determine its association with GDM.
    Matched MeSH terms: Diabetes, Gestational/genetics*
  8. Zamanpoor M, Rosli R, Yazid MN, Husain Z, Nordin N, Thilakavathy K
    J Matern Fetal Neonatal Med, 2013 Jul;26(10):960-6.
    PMID: 23339569 DOI: 10.3109/14767058.2013.766710
    OBJECTIVE: To quantify circulating fetal DNA (fDNA) levels in the second and third trimesters of normal healthy pregnant individuals and pregnant women with the following clinical conditions: gestational diabetes mellitus (GDM), iron deficiency anemia and gestational hypertension (GHT).
    METHODS: The SRY gene located on the Y chromosome was used as a unique fetal marker. The fDNA was extracted from maternal plasma and the SRY gene concentrations were measured by quantitative real-time polymerase chain reaction (PCR) amplification using TaqMan dual labeled probe system.
    RESULTS: No significant differences were observed in the mean fDNA concentration between normal and GDM pregnancy samples (p > 0.05) and also between normal and anemic pregnancy samples (p > 0.05) in both trimesters, but significant differences were observed between the third trimester normal and GHT pregnancy samples (p = 0.001). GDM and iron deficiency anemia do not affect the levels of fDNA in maternal plasma while GHT significantly elevates the levels of fDNA in maternal plasma.
    CONCLUSIONS: Increased amount of circulating fDNA in maternal plasma could be used for early identification of adverse pregnancies. GDM and anemia do not affect the levels of fDNA in maternal plasma while GHT significantly elevates the levels of fDNA in maternal plasma. Hence, the elevated fDNA values could be used as a potential screening marker in pregnancies complicated with GHT but not with GDM and iron deficiency anemia.
    Matched MeSH terms: Diabetes, Gestational/genetics
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