Maternal serum biomarkers for risk assessment in gestational diabetes. A potential universal screening test to predict GDM status

Nagalla, Srinivasa R.; Snyder, Caryn K.; Michaels, John E.; Laughlin, Mary J.; Roberts, Charles T.; Balaji, Madhuri S.; Balaji, Vijayam; Seshiah, V.; Rao, Paturi Vishnupriya

doi:10.4103/2230-8210.140226

Cited by 18 publications

(17 citation statements)

References 26 publications

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“…Traditionally, the risk stratification for GDM in early pregnancy is guided by maternal health characteristics and by previous obstetric outcome parameters [32]. In addition to these conventional risk parameters, several maternal biochemical markers, such as HbA1c, sex hormone binding globulin, and C reactive protein in early pregnancy, are under evaluation as potential predictors of GDM [33,34]. The multivariable logistic regression analysis in our study revealed a linear increase in GDM risk with rising HbA1c-FT levels.…”

Section: Discussionmentioning

confidence: 75%

Glycated haemoglobin in the first trimester: A predictor of gestational diabetes mellitus in pregnant Asian Indian women

Punnose

Malhotra

Sukhija

et al. 2020

Diabetes Research and Clinical Practice

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Section: Discussionmentioning

confidence: 75%

Glycated haemoglobin in the first trimester: A predictor of gestational diabetes mellitus in pregnant Asian Indian women

Punnose

Malhotra

Sukhija

et al. 2020

Diabetes Research and Clinical Practice

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“…non-white ethnicity: including Asian, black Caribbean or Middle Eastern); history of having GDM or a macrosomic infant; maternal obesity[12] and occasionally biochemical markers. [13,14]…”

Section: Introductionmentioning

confidence: 99%

Risk factor screening to identify women requiring oral glucose tolerance testing to diagnose gestational diabetes: A systematic review and meta-analysis and analysis of two pregnancy cohorts

et al. 2017

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BackgroundEasily identifiable risk factors including: obesity and ethnicity at high risk of diabetes are commonly used to indicate which women should be offered the oral glucose tolerance test (OGTT) to diagnose gestational diabetes (GDM). Evidence regarding these risk factors is limited however. We conducted a systematic review (SR) and meta-analysis and individual participant data (IPD) analysis to evaluate the performance of risk factors in identifying women with GDM.MethodsWe searched MEDLINE, Medline in Process, Embase, Maternity and Infant Care and the Cochrane Central Register of Controlled Trials (CENTRAL) up to August 2016 and conducted additional reference checking. We included observational, cohort, case-control and cross-sectional studies reporting the performance characteristics of risk factors used to identify women at high risk of GDM. We had access to IPD from the Born in Bradford and Atlantic Diabetes in Pregnancy cohorts, all pregnant women in the two cohorts with data on risk factors and OGTT results were included.ResultsTwenty nine published studies with 211,698 women for the SR and a further 14,103 women from two birth cohorts (Born in Bradford and the Atlantic Diabetes in Pregnancy study) for the IPD analysis were included. Six studies assessed the screening performance of guidelines; six examined combinations of risk factors; eight evaluated the number of risk factors and nine examined prediction models or scores. Meta-analysis using data from published studies suggests that irrespective of the method used, risk factors do not identify women with GDM well.Using IPD and combining risk factors to produce the highest sensitivities, results in low specificities (and so higher false positives). Strategies that use the risk factors of age (>25 or >30) and BMI (>25 or 30) perform as well as other strategies with additional risk factors included.ConclusionsRisk factor screening methods are poor predictors of which pregnant women will be diagnosed with GDM. A simple approach of offering an OGTT to women 25 years or older and/or with a BMI of 25kg/m2 or more is as good as more complex risk prediction models. Research to identify more accurate (bio)markers is needed.Systematic Review Registration: PROSPERO CRD42013004608

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“…Serum and plasma have become the most widely used sample for diabetic biomarker studies212223. Depletion of serum prior to proteomic analysis by immunoaffinity subtraction of specific proteins through the use of targeted polyclonal antibody columns and spin filters has recently emerged as a promising tool for serum prefractionation19.…”

mentioning

confidence: 99%

2D-DIGE as a strategy to identify serum biomarkers in Mexican patients with Type-2 diabetes with different body mass index

Gómez-Cardona

Hernández-Domínguez

Velarde‐Salcedo

et al. 2017

Sci Rep

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Obesity and type 2 diabetes(T2D) are the most prevalent and serious metabolic diseases affecting people worldwide. However racial and ethnic disparities seems to be a risk factor for their development. Mexico has been named as one of the largest populations with the highest prevalence of diabetes and obesity. The aim of this study was to identify novel T2D-associated proteins in Mexican patients. Blood samples were collected from 62 Mexican patients with T2D and they were grouped according to their body mass index(BMI). A panel of 10 diabetes and obesity serum markers was determined using MAGPIX. A comparative proteomics study was performed using two-dimensional difference in-gel electrophoresis(2D-DIGE) followed by mass spectrometry(LC-MS/MS). We detected 113 spots differentially accumulated, in which 64 unique proteins were identified, proteins that were involved in metabolism pathways, molecular transport, and cellular signalling. Four proteins(14-3-3, ApoH, ZAG, and OTO3) showing diabetes-related variation and also changes in relation to obesity were selected for further validation by western blotting. Our results reveal new diabetes related proteins present in the Mexican population. These could provide additional insight into the understanding of diabetes development in Mexican population and may also be useful candidate biomarkers.

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Maternal serum biomarkers for risk assessment in gestational diabetes. A potential universal screening test to predict GDM status

Cited by 18 publications

References 26 publications

Glycated haemoglobin in the first trimester: A predictor of gestational diabetes mellitus in pregnant Asian Indian women

Glycated haemoglobin in the first trimester: A predictor of gestational diabetes mellitus in pregnant Asian Indian women

Risk factor screening to identify women requiring oral glucose tolerance testing to diagnose gestational diabetes: A systematic review and meta-analysis and analysis of two pregnancy cohorts

2D-DIGE as a strategy to identify serum biomarkers in Mexican patients with Type-2 diabetes with different body mass index

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