<i>GCK</i> Gene Screening and Association of <i>GCK</i> Variants With Gestational Diabetes in North Indian Population

Siddiqui, Samreen; Waghdhare, Swati; Gopi, Sundaramoorthy; Bhargava, Amit; Panda, Manju; Radha, Venkatesan; Mohan, Viswanathan; Dubey, Shweta; Jha, Sujeet

doi:10.1177/1179551418806896

Cited by 4 publications

(3 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…There have been some risk factors for GDM and diabetes including gene, age, height, BMI, and previous history of GDM. [23][24][25][26] Changes in triglyceride could contribute to fetal growth and postnatal development. 27 Furthermore, in addition to metabolic changes during pregnancy, lipid metabolism and serum lipid profile also changed, 28 which is thought to be due to a variety of causes, including IR.…”

Section: The Associations Between Insulin Resistance Indices and The ...mentioning

confidence: 99%

Insulin Resistance in Gestational Diabetes Mellitus and Its Association With Anthropometric Fetal Indices

Bui

et al. 2022

Clin Med Insights Endocrinol Diabetes

View full text Add to dashboard Cite

Background: In pregnant women with gestational diabetes mellitus (GDM), insulin resistance (IR) increases the risk of developing manifest type 2 diabetes mellitus and is associated with complications in both mother and fetus. Objectives: This research aimed to evaluate the associations between IR evaluated by 3 indices (namely updated homeostasis model assessment model (HOMA2), QUICKI, and McAuley’s index) and the diabetes risk factors and the fetal growth indices in Vietnamese women with GDM. Methods: A cross-sectional descriptive study was conducted on 370 women with GDM and 40 healthy pregnant women from January 2015 to May 2019. IR was calculated by HOMA2 (HOMA2-IR), QUICKI, and McAuley’s index. Fetal anthropometric measurements were assessed via ultrasound which was performed and interpreted by ultrasound experts. Results: In the simple regression analysis, McAuley’s index illustrated had statistically significant correlations to the highest number of risk factors of diabetes mellitus compared with HOMA2-IR and QUICKI indices. Moreover, McAuley’s index correlated statistically significantly to the highest number of fetal ultrasound measurements factors such as including biparietal diameter (BPD) ( r = −0.271, P < .001), head circumference (HC) ( r = −0.225, P < .001), abdominal circumference (AC) ( r = −0.214, P < .001), femur length (FL) ( r = −0.231, P < .001), estimated fetal weight (EFW) ( r = −0.239, P < .001) and fetal estimated age ( r = −0.299, P < .001). In the multivariable analysis, the McAuley’s index contributed the greatest to AC (Standardized B of −0.656, P < .001). Conclusion: The McAuley’s index was significantly associated with a higher number of more risk factors for diabetes mellitus as well as fetal ultrasound sonography findings measurements than compared with HOMA2-IR and QUICKI indices.

show abstract

Section: The Associations Between Insulin Resistance Indices and The ...mentioning

confidence: 99%

Insulin Resistance in Gestational Diabetes Mellitus and Its Association With Anthropometric Fetal Indices

Bui

et al. 2022

Clin Med Insights Endocrinol Diabetes

View full text Add to dashboard Cite

show abstract

“…GCK encodes glucokinase, an enzyme critical for glycolysis and insulin regulation that is expressed in pancreatic β cells [ 223 ]. It has been identified as a GDM risk factor in White women, but at least one study did not find it to be the case in North Indian women [ 224 ]. Recently, MTNR1B has been implicated in several diverse populations to affect β cell activity by reducing insulin secretion [ 36 , 225 ].…”

Section: Future Directions and Unanswered Questionsmentioning

confidence: 99%

Maternal diabetes negatively impacts fetal health

Corona¹,

Parchem

2022

Open Biol.

View full text Add to dashboard Cite

Diabetes is a chronic metabolic disease affecting an increasing number of people. Although diabetes has negative health outcomes for diagnosed individuals, a population at particular risk are pregnant women, as diabetes impacts not only a pregnant woman's health but that of her child. In this review, we cover the current knowledge and unanswered questions on diabetes affecting an expectant mother, focusing on maternal and fetal outcomes.

show abstract

“…Наиболее распространены среди них различные подтипы MODY-диабета (англ. maturity onset diabetes of the young -диабет зрелого типа у молодых): MODY1, MODY2, MODY3 [5][6][7][8][9]. Для данной когорты не определены цели по TIR, в том числе и при беременности.…”

Section: заключениеunclassified

Glucose variability in pregnant women with newly diagnosed hyperglycemia

et al. 2020

View full text Add to dashboard Cite

Background: High-performance parallel next-generation sequencing (NGS) allows for identification of various maturity-onset diabetes of the young (MODY) subtypes also during pregnancy. As this method is expensive and time-consuming, it has proposed to use various predictors for the diagnosis of mutation in the hexokinase (GCK)/MODY2 gene, helping to select the patients for subsequent molecular genetic testing. Hyperglycemia due to MODY2 is commonly newly diagnosed during pregnancy; therefore, there is a search for factors specific to this mutation in pregnant women.Aim: To evaluate blood glucose variability in pregnant women with newly diagnosed hyperglycemia at early gestation and to determine the threshold value of the glycemic variability coefficient for pregnant women with a mutation in the GCK/MODY2 gene.Materials and methods: This observational single center study included 41 pregnant women with newly diagnosed early hyperglycemia (not meeting the criteria for manifest diabetes mellitus). Molecular genetic testing was performed in all of them. According to its results, they were retrospectively categorized into two groups: with early gestational diabetes mellitus (GDM, no mutations) and with hyperglycemia related to a mutation in the GCK/MODY2 gene. A comparative analysis of glycemic variability in the two groups was performed. Sensitivity and specificity of the cutoff value for the coefficient of variability as a diagnostic marker of MODY2 were also calculated.Results: The pregnant women with GDM had significantly higher age and body mass index (BMI) than those with MODY2 (p<0.05). There were significant differences in venous fasting plasma glucose and glycated hemoglobin, with these parameters being higher in the pregnant women with MODY2 (p<0.05). In the patients with a mutation in the GCK gene, hyperglycemia was diagnosed earlier and insulin therapy was started earlier during pregnancy than in those with GDM (p<0.05). The ROC analysis of the diagnostic accuracy of the variability coefficient showed that at the threshold CV (coefficient of variation) value of 20.8, the area under the curve was 0.742 (95% confidence intervals 0.597 to 0.888; p<0.005), with the sensitivity of 65% and the specificity of 65.4%.Conclusion: The calculated sensitivity of 65% and specificity of 65.4% for the CV of 20.8 do not allow for its use as an independent selection criterion for subsequent confirmation of MODY2. However, its combination with the A.J. Chakera criteria (BMI<25 kg/m2 and fasting glucose≥5.5 mmol with 68% sensitivity and 96% specificity) allows to clarify the category of pregnant women with newly detected early hyperglycemia, to whom the search for mutations in the GCK gene should be recommended.

show abstract

GCK Gene Screening and Association of GCK Variants With Gestational Diabetes in North Indian Population

Cited by 4 publications

References 21 publications

Insulin Resistance in Gestational Diabetes Mellitus and Its Association With Anthropometric Fetal Indices

Insulin Resistance in Gestational Diabetes Mellitus and Its Association With Anthropometric Fetal Indices

Maternal diabetes negatively impacts fetal health

Glucose variability in pregnant women with newly diagnosed hyperglycemia

Contact Info

Product

Resources

About