scholarly journals Association between a functional polymorphism rs10830963 in melatonin receptor 1B and risk of gestational diabetes mellitus: an updated meta-analysis

2017 ◽  
Author(s):  
Yu Xiangyuan ◽  
Wang Qianqian ◽  
Qin Linyuan ◽  
Peng Lingxiang ◽  
Chen Zaiming ◽  
...  

AbstractThe melatonin receptor 1B (MTNR1B) as a candidate gene for gestational diabetes mellitus (GDM) on the basis of its association with T2DM, β-cells function and fasting plasma glucose (FPG) level. Many studies have investigated the association between MTNR1B polymorphism rs10830963 C>G and GDM risk, but the conclusion is inconsistent. PubMed, Google Scholar and CNKI databases were searched to identify eligible studies. Pooled OR with corresponding 95% CI was used to estimate the strength of the association between rs10830963 and GDM risk using a fixed- or random-effect model. 12 eligible studies with a number of 4,782 GDM patients and 5,605 controls were included in this meta-analysis. Results indicated that the variant G allele of rs10830963 polymorphism was significantly associated with an increased risk of GDM (CG vs. CC: OR=1.23, 95% CI = 1.12–1.34, Pheterogeneity = 0.23; GG vs. CC: OR=1.74, 95% CI =1.41–2.15, Pheterogeneity = 0.002). In the stratified analysis by ethnicity, similar results were found in Asians (CG vs. CC: OR=1.15, 95% CI = 1.04–1.28, Pheterogeneity = 0.74; GG VS. CC: OR=1.48, 95% CI =1.23–1.78, Pheterogeneity = 0.08) and in Caucasians (CG vs. CC: OR=1.49, 95% CI =1.25–1.77, Pheterogeneity = 0.28; GG vs. CC: OR=2.68, 95% CI =2.03–3.54, Pheterogeneity = 0.58).

2020 ◽  
Vol 40 (2) ◽  
Author(s):  
Klara Rosta ◽  
Jürgen Harreiter ◽  
Ákos Nádasdi ◽  
László Németh ◽  
Alexandra Kautzky-Willer ◽  
...  

Abstract We have read with great interest the accepted manuscript of the meta-analysis performed by Huang, et al. titled “A functional polymorphism rs10830963 in melatonin receptor 1B associated with the risk of gestational diabetes mellitus” published online in the 2019 December 6 issue of Bioscience Reports (https://doi.org/10.1042/BSR20190744). We do agree with the authors’ final conclusion that such a meta-analysis should eventually confirm that the MTNR1B rs10830963 G allele is significantly associated with increased risk of gestational diabetes mellitus (GDM) development in pregnant populations with Asian and European ancestry. However we have surprisingly found that our genetic association study (PLoS One (2017), https://doi.org/10.1371/journal.pone.0169781) was included in this meta-analysis, but with mistakenly calculated odds ratios (OR). Therefore we would suggest to use the correct OR values based on our original publication that were already indicating a high genetic effect size for the MTNR1B rs10830963 risk variant on GDM development.


2019 ◽  
Vol 39 (12) ◽  
Author(s):  
Bo Huang ◽  
Yu-kun Wang ◽  
Lin-yuan Qin ◽  
Qin Wei ◽  
Nian Liu ◽  
...  

Abstract The melatonin receptor 1B (MTNR1B) polymorphism rs10830963 C>G has been reported to be associated with the risk of gestational diabetes mellitus (GDM) with inconsistent results. To clarify the effect of the polymorphism on the risk of GDM, a meta-analysis therefore was performed. Pooled OR with its corresponding 95%CI was used to estimate the strength of the association. Totally 14 eligible studies with a number of 5033 GDM patients and 5614 controls were included in this meta-analysis. Results indicated that the variant G allele was significantly associated with an increased GDM risk (CG vs. CC: OR = 1.25, 95% CI = 1.11−1.40, P < 0.001; GG vs. CC: OR = 1.78, 95% CI = 1.45−2.19, P < 0.001; G vs. C: OR = 1.33, 95% CI = 1.21−1.47, P < 0.001). In the stratified analysis by ethnicity, similar results were found in Asians (CG vs. CC: OR = 1.15, 95%CI = 1.02−1.28, P = 0.020; GG vs. CC: OR = 1.52, 95% CI = 1.23−1.89, P < 0.001; G vs. C: OR = 1.23, 95% CI = 1.10−1.37, P < 0.001) and in Caucasians (CG vs. CC: OR = 1.40, 95% CI = 1.16−1.70, P < 0.001; GG vs. CC: OR = 2.21, 95% CI = 1.54−3.17, P < 0.001; G vs. C: OR = 1.47, 95% CI = 1.24−1.73, P < 0.001). FPRP and TSA analyses confirmed findings support that the rs10830963 G allele increases the risk of GDM, and further functional experimental studies are warranted to explore and clarify the potential mechanism.


2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhongwei Zhou ◽  
Hongmei Chen ◽  
Mingzhong Sun ◽  
Huixiang Ju

Aim. To evaluate the association between mean platelet volume (MPV) and gestational diabetes mellitus (GDM). Methods. A systematic literature search was performed in PubMed, EMBASE, Web of Science, and The Cochrane Library up to 4 September 2017. Pooled standardized mean differences (SMD) and 95% confidence interval (CI) were calculated using a random-effect model. Results. Nineteen studies comprising 1361 GDM patients and 1911 normal pregnant women were included. MPV was increased in GDM patients when compared with healthy pregnant women (SMD: 0.79; 95% CI: 0.43–1.16; P<0.001). Subgroup analyses revealed that such trend was consistent in the third-trimester (SMD: 1.35; 95% CI: 0.72–1.98), Turkish (SMD: 0.81; 95% CI: 0.43–1.19), and Italian (SMD: 2.78; 95% CI: 2.22–3.34) patients with GDM and the patients diagnosed based on Carpenter and Coustan criteria (SMD: 1.04; 95% CI: 0.42–1.65). Significantly higher MPV also were observed within cross-sectional studies (SMD: 0.99; 95% CI: 0.49–1.49). Remarkable between-study heterogeneity and potential publication bias were observed in this meta-analysis; however, sensitivity analysis indicated that the results were not unduly influenced by any single study. Conclusions. GDM patients are accompanied by increased MPV, strengthening the clinical evidence that MPV may be a predictive marker for GDM.


2021 ◽  
Vol 50 (8) ◽  
pp. 2367-2377
Author(s):  
Lieng Teng Cheong ◽  
Ken Yong Foo ◽  
Mun Lum Ka ◽  
Yung Toh Shen ◽  
Xuan Hii Chan ◽  
...  

Gestational diabetes mellitus (GDM) is glucose intolerance first diagnosed during pregnancy. In Malaysia, the prevalence, risk factors, and maternal/foetal outcomes vary somewhat among the local studies. In this systematic review of Malaysian studies, we synthesise relevant data from 13 journal articles (including 10,285 women with gestational diabetes). A meta-analysis of twelve datasets showed a prevalence of 21.5% (95% CI 17.3 to 25.9%, random effect model). Clinical factors in the mother found to increase her risk of GDM were consistent with international data. A meta-analysis of complications showed statistically significant increase for macrosomia (OR 3.08, 95% CI 1.77 to 5.36) but not for pre-eclampsia (OR 1.44, 95% CI 0.52 to 4.00) and caesarean delivery (OR 1.31, 95% CI 0.98 to 1.75). The high prevalence of gestational diabetes mellitus and documented adverse consequences support the need for universal screening of this condition in all pregnant women in Malaysia.


2020 ◽  
Vol 57 (1) ◽  
pp. 91-99
Author(s):  
Mansour MOGHIMI ◽  
Seyed Alireza DASTGHEIB ◽  
Naeimeh HEIRANIZADEH ◽  
Mohammad ZARE ◽  
Elnaz SHEIKHPOUR ◽  
...  

ABSTRACT BACKGROUND: The role of -251A>T polymorphism in the anti-inflammatory cytokine interleukin-8 (IL-8) gene in gastric cancer was intensively evaluated, but the results of these studies were inconsistent. OBJECTIVE: Therefore, we performed a meta-analysis to provide a comprehensive data on the association of IL-8 -251T>A polymorphism with gastric cancer. METHODS: All eligible studies were identified in PubMed, Web of Science, EMBASE, Wanfang and CNKI databases before September 01, 2019. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were derived from a fixed effect or random effect model. RESULTS: A total of 33 case-control studies with 6,192 cases and 9,567 controls were selected. Overall, pooled data showed that IL-8 -251T>A polymorphism was significantly associated with an increased risk of gastric cancer under all five genetic models, i.e., allele (A vs T: OR=1.189, 95% CI 1.027-1.378, P=0.021), homozygote (AA vs TT: OR=1.307, 95% CI 1.111-1.536, P=0.001), heterozygote (AT vs TT: OR=1.188, 95% CI 1.061-1.330, P=0.003), dominant (AA+AT vs TT: OR=1.337, 95% CI 1.115-1.602, P=0.002) and recessive (AA vs AT+TT: OR=1.241, 95% CI 1.045-1.474, P=0.014). The stratified analysis by ethnicity revealed an increased risk of gastric cancer in Asians and mixed populations, but not in Caucasians. Moreover, stratified by country found a significant association in Chinese, Korean and Brazilian, but not among Japanese. CONCLUSION: This meta-analysis suggests that the IL-8 -251T>A polymorphism is associated with an increased risk of gastric cancer, especially by ethnicity (Asian and mixed populations) and country (Chinese, Korean and Brazilian).


2018 ◽  
Vol 26 (10) ◽  
pp. 1382-1388 ◽  
Author(s):  
Chao Li ◽  
Yubin Zhou ◽  
Binglong Qiao ◽  
Lin Xu ◽  
Yan Li ◽  
...  

Aims: This study was conducted to investigate the relationship between a genetic polymorphism and the expression of melatonin receptor 1B (MTNR1B) in the placenta of Han Chinese women with gestational diabetes mellitus (GDM). Methods: In this study, 215 patients with GDM and 243 healthy controls were genotyped using direct sequencing for the MTNR1B single-nucleotide polymorphism rs10830963. The expression of MTNR1B in placenta was detected by immunohistochemistry and Western blotting. The association of rs10830963 with the expression of MTNR1B, plasma glucose, and insulin levels as well as blood lipid levels was investigated. Results: The genotype and allele frequencies of rs10830963 were significantly different between women with GDM and controls ( P < .05). Fasting blood glucose, fasting insulin, and homeostasis model assessment for insulin resistance in women with GDM with the GG and GC genotypes were significantly higher than those with the CC genotype ( P < .05). The expression level of MTNR1B in placenta was significantly higher in the GDM group than in the control group ( P < .05). The expression of MTNR1B was significantly higher in all participants with the GG and GC genotypes (1.31 [0.74]) than in pregnant women with the CC genotype (0.92 [0.52], P < .05). Conclusions: The genetic polymorphism rs10830963 in MTNR1B and its protein expression levels in placenta are associated with an increased risk of developing GDM. Furthermore, rs10830963 may tag a molecular mechanism leading to insulin resistance in Han Chinese women with GDM.


Author(s):  
Kai Wei Lee ◽  
Siew Mooi Ching ◽  
Navin Kumar Devaraj ◽  
Seng Choi Chong ◽  
Sook Yee Lim ◽  
...  

Previous literature has reported that patients with diabetes in pregnancy (DIP) are at risk of developing antepartum depression but the results have been inconsistent in cohort studies. We conducted a systematic review and performed a meta-analysis to quantify the association between DIP and risk of antepartum depression in cohort studies. Medline, Cinahl, and PubMed databases were searched for studies investigating DIP involving pregnant women with pre-existing diabetes and gestational diabetes mellitus and their risk of antepartum depression that were published in journals from inception to 27 December 2019. We derived the summary estimates using a random-effects model and reported the findings as pooled relative risks (RR) and confidence interval (CI). Publication bias was assessed using a funnel plot and was quantified by Egger and Begg’s tests. Ten studies, involving 71,036 pregnant women were included in this meta-analysis. The pooled RR to develop antepartum depression was (RR = 1.430, 95% CI: 1.251–1.636) among women with gestational diabetes mellitus. Combining pregnant women with pre-existing diabetes mellitus and gestational diabetes mellitus, they had a significant increased risk of developing antepartum depression (RR = 1.431, 95% CI: 1.205–1.699) compared with those without it. In comparison, we found no association between pre-existing diabetes mellitus in pregnancy (RR = 1.300, 95% CI: 0.736–2.297) and the risk of developing antepartum depression. This study has a few limitations: first, different questionnaire and cut-off points were used in evaluation of depression across the studies. Second, there was a lack of data on history of depression prior to pregnancy, which lead to confounding bias that could not be solved by this meta-analysis. Third, data were dominated by studies in Western countries; this is due to the studies from Eastern countries failing to meet our inclusion criteria for statistical analysis. Women with gestational diabetes mellitus have an increased risk of developing antepartum depression compared to those without the disease. Therefore, more attention on the mental health status should be given on pregnant women diagnosed with pre-existing diabetes mellitus and gestational diabetes mellitus.


2021 ◽  
Author(s):  
Yasushi Tsujimoto ◽  
Yuki KATAOKA ◽  
Masahiro Banno ◽  
Shunsuke Taito ◽  
Masayo Kokubo ◽  
...  

ABSTRACT Background: Women born preterm or with low birthweight (LBW) have an increased future risk of gestational diabetes mellitus (GDM) during pregnancy; however, a quantitative summary of evidence is lacking. In this study, we aimed to investigate whether being born preterm, or with LBW or small for gestational age (SGA) are associated with GDM risk. Methods: We searched the MEDLINE, Embase, and CINAHL databases and study registries, including ClinicalTrials.gov and ICTRP, from launch until 29 October 2020 for observational studies examining the association between birth weight or gestational age and GDM were eligible. We pooled the odds ratios and 95% confidence intervals using the DerSimonian and Laird random-effects model. Results: Eighteen studies were included (N = 827,382). The meta-analysis showed that being born preterm, with LBW or SGA was associated with increased risk of GDM (pooled odds ratio = 1.84; 95% confidence interval: 1.54 to 2.20; I2 = 78.3%; τ2 = 0.07). Given a GDM prevalence of 2.0%, 10%, and 20%, the absolute risk differences were 1.6%, 7.0%, and 11.5%, respectively. The certainty of evidence was low due to serious concerns of risk of bias and publication bias. Conclusion: Women born prematurely, with LBW or SGA status, may be at increased risk for GDM. However, whether this should be considered in clinical decision-making depends on the prevalence of GDM.


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