scholarly journals Identification of urinary biomarkers for the prediction of gestational diabetes mellitus in early second trimester of young gravidae based on iTRAQ quantitative proteomics

2018 ◽  
Vol 65 (7) ◽  
pp. 727-735 ◽  
Author(s):  
Ying Guo ◽  
Zhonghou Han ◽  
Li Guo ◽  
Yu Liu ◽  
Gang Li ◽  
...  
2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Chuyao Jin ◽  
Lizi Lin ◽  
Na Han ◽  
Zhiling Zhao ◽  
Zheng Liu ◽  
...  

Abstract Background To assess the association between plasma retinol-binding protein 4 (RBP4) levels both in the first trimester and second trimester and risk of gestational diabetes mellitus (GDM). Methods Plasma RBP4 levels and insulin were measured among 135 GDM cases and 135 controls nested within the Peking University Birth Cohort in Tongzhou. Multivariable linear regression analysis was conducted to assess the influence of RBP4 levels on insulin resistance. Conditional logistic regression models were used to compute the odds ratio (OR) and 95% confidence interval (CI) between RBP4 levels and risk of GDM. Results The GDM cases had significantly higher levels of RBP4 in the first trimester than controls (medians: 18.0 μg/L vs 14.4 μg/L; P < 0.05). Plasma RBP4 concentrations in the first and second trimester were associated with fasting insulin, homeostasis model assessment for insulin resistance (HOMA-IR), and the quantitative insulin sensitivity check index (QUICKI) in the second trimester (all P < 0.001). With adjustment for diet, physical activity, and other risk factors for GDM, the risk of GDM increased with every 1-log μg/L increment of RBP4 levels, and the OR (95% CI) was 3.12 (1.08–9.04) for RBP4 in the first trimester and 3.38 (1.03–11.08) for RBP4 in the second trimester. Conclusions Plasma RBP4 levels both in the first trimester and second trimester were dose-dependently associated with increased risk of GDM.


Diabetes Care ◽  
2016 ◽  
Vol 39 (12) ◽  
pp. 2232-2239 ◽  
Author(s):  
Liangjian Lu ◽  
Albert Koulman ◽  
Clive J. Petry ◽  
Benjamin Jenkins ◽  
Lee Matthews ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Sara Al-Musharaf ◽  
Shaun Sabico ◽  
Syed Danish Hussain ◽  
Fatima Al-Tawashi ◽  
Haifa Bandar AlWaily ◽  
...  

Objective. To examine differences in maternal serum levels of adipokines (adiponectin, leptin, and resistin) and inflammatory markers (tumor necrosis factor-alpha (TNF-α) and interlukin-6 (IL-6)) from early to midpregnancy among Arab women with or without gestational diabetes mellitus (GDM), along with their links to GDM risk. Methods. This is a multicenter prospective study involving 232 Saudi women attending obstetric care. Both circulating adipokine and markers of inflammation were observed at the first (eight to 12 weeks) and second trimesters (24 to 28 weeks). GDM was screened at 24 to 28 weeks using the International Association of the Diabetes and Pregnancy Study Groups (IADPSG) criteria. Results. Age and body mass index- (BMI-) matched circulating TNF-α was significantly higher in women with GDM in comparison to non-GDM women ( p = 0.01 ). Adiponectin and resistin significantly decreased from the first to second trimester in women without GDM ( p = 0.002 and 0.026, respectively). Leptin presented a significant rise from the first to second trimester in both groups, with a higher increase in women with GDM ( p = 0.013 ). Multivariate logistic regression analysis revealed that TNF-α was significantly correlated with GDM ( p = 0.03 ). However, significance was lost after adjustments for maternal and lifestyle risk factors (OR 23.58 (0.50 to 1119.98), p = 0.11 ). Conclusion. Inflammatory and adipocytokine profiles are altered in Arab women with GDM, TNF-α in particular. Further studies are needed to establish whether maternal inflammatory and adipocytokine profile influence fetal levels in the same manner.


2020 ◽  
Vol 8 (1) ◽  
pp. e000937 ◽  
Author(s):  
Xingyao Tang ◽  
Jian-Bo Zhou ◽  
Fuqiang Luo ◽  
Yipeng Han ◽  
Yoriko Heianza ◽  
...  

Exposure to different air pollutants has been linked to type 2 diabetes mellitus, but the evidence for the association between air pollutants and gestational diabetes mellitus (GDM) has not been systematically evaluated. We systematically retrieved relevant studies from PubMed, Embase, and the Web of Science, and performed stratified analyses and regression analyses. Thirteen studies were analyzed, comprising 1 547 154 individuals from nine retrospective studies, three prospective studies, and one case–control study. Increased exposure to particulate matter ≤2.5 µm in diameter (PM2.5) was not associated with the increased risk of GDM (adjusted OR 1.03, 95% CI 0.99 to 1.06). However, subgroup analysis showed positive correlation of PM2.5 exposure in the second trimester with an increased risk of GDM (combined OR 1.07, 95% CI 1.00 to 1.13). Among pollutants other than PM2.5, significant association between GDM and nitrogen dioxide (NO2) (OR 1.05, 95% CI 1.01 to 1.10), nitrogen oxide (NOx) (OR 1.03, 95% CI 1.01 to 1.05), and sulfur dioxide (SO2) (OR 1.09, 95% CI 1.03 to 1.15) was noted. There was no significant association between exposure to black carbon or ozone or carbon monoxide or particulate matter ≤10 µm in diameter and GDM. Thus, systematic review of existing evidence demonstrated association of exposure to NO2, NOx, and SO2, and the second trimester exposure of PM2.5 with the increased risk of GDM. Caution may be exercised while deriving conclusions from existing evidence base because of the limited number and the observational nature of studies.


Placenta ◽  
2021 ◽  
Vol 103 ◽  
pp. 82-85
Author(s):  
Juan Araya ◽  
Andrés Rodriguez ◽  
Karin Lagos-SanMartin ◽  
Daniela Mennickent ◽  
Sebastián Gutiérrez-Vega ◽  
...  

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Fahimeh Ramezani Tehrani ◽  

Abstract Background There is lack of ideal and comprehensive economic evaluations of various GDM strategies. The aim of this study is to the compare efficacy and cost-effectiveness of five different methods of screening for gestational diabetes mellitus (GDM). Methods This study is a randomized community non-inferiority trial among 30,000 pregnant women in five different geographic regions of Iran, who were randomly assigned to one of the five GDM screening methods. All first trimester pregnant women, seeking prenatal care in governmental health care systems, who met our eligibility criteria were enrolled. The criteria suggested by the International-Association-of-Diabetes-in-Pregnancy-Study-Group, the most intensive approach, were used as reference. We used the non-inferiority approach to compare less intensive strategies to the reference one. Along with routine prenatal standard care, all participants were scheduled to have two phases of GDM screening in first and second-trimester of pregnancy, based on five different pre-specified protocols. The screening protocol included fasting plasma glucose in the first trimester and either a one step or a two-step screening method in the second trimester of pregnancy. Pregnant women were classified in three groups based on the results: diagnosed with preexisting pre-gestational overt diabetes; gestational diabetes and non-GDM women. Each group received packages for standard-care and all participants were followed till delivery; pregnancy outcomes, quality of life and cost of health care were recorded in detail using specific standardized questionnaires. Primary outcomes were defined as % birth-weight > 90th percentile and primary cesarean section. In addition, we assessed the direct health care direct and indirect costs. Results This study will enable us to compare the cost effectiveness of different GDM screening protocols and intervention intensity (low versus high). Conclusion Results which if needed, will also enable policy makers to optimize the national GMD strategy as a resource for enhancing GDM guidelines. Trial registration Name of the registry: Iranian Registry of Clinical Trials. Trial registration number: IRCT138707081281N1. Date of registration: 2017-02-15. URL of trial registry record: https://www.irct.ir/trial/518


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