Higher level of <scp>GGT</scp> during mid‐pregnancy is associated with increased risk of gestational diabetes mellitus

Kong, Man; Liu, Chaoqun; Guo, Yanfang; Gao, Qing; Zhong, Chunrong; Zhou, Xian; Chen, Renjuan; Xiong, Guoping; Yang, Xuefeng; Hao, Liping; Yang, Nianhong

doi:10.1111/cen.13558

Cited by 17 publications

(16 citation statements)

References 31 publications

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Section: Introductionmentioning

confidence: 99%

“…It is obviously known that liver has a vital role for homeostasis of glucose in fasting and postprandial situations . Gamma‐glutamyltransferase (GGT) is a biomarker to explore liver dysfunction and alcoholic liver injury . Previous studies have shown that high maternal circulating activity of GGT during pregnancy is an independent risk factor for GDM development .…”

Section: Introductionmentioning

confidence: 99%

“…Gamma‐glutamyltransferase (GGT) is a biomarker to explore liver dysfunction and alcoholic liver injury . Previous studies have shown that high maternal circulating activity of GGT during pregnancy is an independent risk factor for GDM development . On the other hand, GGT has also been proposed as an independent index of oxidative stress in vivo .…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies have shown that high maternal circulating activity of GGT during pregnancy is an independent risk factor for GDM development . On the other hand, GGT has also been proposed as an independent index of oxidative stress in vivo . Oxidative stress leads to overproduction of reactive oxygen species and lipid peroxidation products which are proposed to be involved in insulin resistance development …”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, GGT has also been proposed as an independent index of oxidative stress in vivo . Oxidative stress leads to overproduction of reactive oxygen species and lipid peroxidation products which are proposed to be involved in insulin resistance development …”

Section: Introductionmentioning

confidence: 99%

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Reduction in maternal serum values of glucose and gamma‐glutamyltransferase after supplementation with alpha‐lipoic acid in women with gestational diabetes mellitus

Aslfalah

Jamilian

Rafiei

et al. 2018

J of Obstet and Gynaecol

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Aim: Alpha-lipoic acid (ALA) is a short chain fatty acid which has a key role in energy production. ALA is also known as a universal antioxidant. The aim of the present study was to explore the effects of ALA supplementation in women with gestational diabetes mellitus. Methods: A randomized double-blind placebo-controlled clinical trial study was designed. Women with gestational diabetes mellitus (n = 60) during 24-28 weeks of gestation were selected and divided randomly into drug (n = 30) and placebo (n = 30) groups. Drug group supplemented with ALA (100 mg/day) for 8 weeks. The biochemical markers were measured before and after the intervention and considered significant at a P-value less than 0.05. Results: Maternal circulating values of fasting blood sugar (P < 0.001), gamma-glutamyltransferase (P < 0.001) and alanine transaminase (P = 0.031) were decreased in the drug group after the intervention. However, values of urea, creatinine, uric acid, aspartate transaminase and alkaline phosphatase were not changed significantly after the trial. Conclusion: The present study has shown that supplementation with 100 mg/day of ALA had some beneficial effects on glucose metabolism and liver function in women with gestational diabetes mellitus.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Reduction in maternal serum values of glucose and gamma‐glutamyltransferase after supplementation with alpha‐lipoic acid in women with gestational diabetes mellitus

Aslfalah

Jamilian

Rafiei

et al. 2018

J of Obstet and Gynaecol

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Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China

Liu

Leng

et al. 2020

Diabetes Metabolism Res

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Aims This study aimed to develop a machine learning–based prediction model for gestational diabetes mellitus (GDM) in early pregnancy in Chinese women. Materials and methods We used an established population‐based prospective cohort of 19,331 pregnant women registered as pregnant before the 15th gestational week in Tianjin, China, from October 2010 to August 2012. The dataset was randomly divided into a training set (70%) and a test set (30%). Risk factors collected at registration were examined and used to construct the prediction model in the training dataset. Machine learning, that is, the extreme gradient boosting (XGBoost) method, was employed to develop the model, while a traditional logistic model was also developed for comparison purposes. In the test dataset, the performance of the developed prediction model was assessed by calibration plots for calibration and area under the receiver operating characteristic curve (AUR) for discrimination. Results In total, 1484 (7.6%) women developed GDM. Pre‐pregnancy body mass index, maternal age, fasting plasma glucose at registration, and alanine aminotransferase were selected as risk factors. The machine learning XGBoost model‐predicted probability of GDM was similar to the observed probability in the test data set, while the logistic model tended to overestimate the risk at the highest risk level (Hosmer–Lemeshow test p value: 0.243 vs. 0.099). The XGBoost model achieved a higher AUR than the logistic model (0.742 vs. 0.663, p < 0.001). This XGBoost model was deployed through a free, publicly available software interface (https://liuhongwei.shinyapps.io/gdm_risk_calculator/). Conclusion The XGBoost model achieved better performance than the logistic model.

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Elevated liver enzymes in the first trimester are associated with gestational diabetes mellitus: A prospective cohort study

Cui,

Yang,

et al. 2024

Diabetes Metabolism Res

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AimsPrevious studies have found that a single liver enzyme may predict gestational diabetes mellitus (GDM), but the results have been inconsistent. This study aimed to explore the associations of liver enzymes in early pregnancy with risk of GDM, as well as to independently rank risk factors.MethodsThis prospective cohort study included 1295 women who underwent liver enzyme measurements during early pregnancy and completed GDM assessment in mid‐pregnancy. Logistic regression and restricted cubic spline analyses were conducted to assess the relationship between liver enzymes and risk of GDM. Back‐propagation artificial neural network was performed to rank independently risk factors of GDM.ResultsWomen diagnosed with GDM exhibited significantly higher levels of liver enzymes than those without GDM (all p < 0.05). The highest quartile of liver enzymes was associated with higher risk of GDM compared with the lowest quartile, with adjusted odds ratio (ORs) ranging from 2.76 to 8.11 (all p < 0.05). Moreover, the ORs of GDM increased linearly with liver enzymes level (all P for overall association <0.001). Furthermore, Back‐propagation artificial neural network identified γ‐gamma‐glutamyl transferase (GGT) as accounting for the highest proportion in the ranking of GDM risk prediction weights (up to 20.8%).ConclusionsSingle or total elevations of liver enzymes in early pregnancy could predict the GDM occurrence, in which GGT, alkaline Phosphatase, and aspartate aminotransferase were the three most important independent risk factors.

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Higher level of GGT during mid‐pregnancy is associated with increased risk of gestational diabetes mellitus

Abstract: The results suggest that pregnant women with higher serum GGT during early-middle pregnancy have higher risk of developing GDM. A GGT level >26.9 U/L may indicate an increased risk of developing GDM later and should be further concerned.

Cited by 17 publications

References 31 publications

Reduction in maternal serum values of glucose and gamma‐glutamyltransferase after supplementation with alpha‐lipoic acid in women with gestational diabetes mellitus

Reduction in maternal serum values of glucose and gamma‐glutamyltransferase after supplementation with alpha‐lipoic acid in women with gestational diabetes mellitus

Machine learning risk score for prediction of gestational diabetes in early pregnancy in Tianjin, China

Elevated liver enzymes in the first trimester are associated with gestational diabetes mellitus: A prospective cohort study

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