scholarly journals A Critical Review of Proteomic Studies in Gestational Diabetes Mellitus

2020 ◽  
Vol 2020 ◽  
pp. 1-13 ◽  
Author(s):  
Tao Zhou ◽  
Lu Huang ◽  
Min Wang ◽  
Daozhen Chen ◽  
Zhong Chen ◽  
...  

Gestational diabetes mellitus is a progressive and complex pregnancy complication, which threatens both maternal and fetal health. It is urgent to screen for specific biomarkers for early diagnosis and precise treatment, as well as to identify key moleculars to better understand the pathogenic mechanisms. In the present review, we comprehensively summarized recent studies of gestational diabetes using mass spectrometry-based proteomic technologies. Focused on the entire experimental design and proteomic results, we showed that these studies have covered a broad range of research contents in terms of sampling time, sample types, and outcome associations. Although most of the studies only stayed in the stage of initial discovery, several proteins were further verified to be efficient for disease diagnosis. Functional analysis of all the combined significant proteins also showed that a small number of proteins are known to be involved in the regulation of insulin or indirect signaling pathways. However, many factors such as diagnostic criteria, sample processing, proteomic method, and statistical method can greatly affect the identification of reproducible and reliable protein candidates. Thus, we further provided constructive suggestions and recommendations for carrying out proteomic or follow-up studies of gestational diabetes or other pregnancy complications in the future.

2017 ◽  
Author(s):  
Seda Sancak ◽  
Ali Ozdemir ◽  
Kerem Yiğit Abacar ◽  
Ayhan Celik ◽  
Nalan Okuroğlu ◽  
...  

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xi-Meng Wang ◽  
Yan Gao ◽  
Johan G. Eriksson ◽  
Weiqing Chen ◽  
Yap Seng Chong ◽  
...  

AbstractWe aimed to identify serum metabolites related to abnormal glucose metabolism (AGM) among women with gestational diabetes mellitus (GDM). The study recruited 50 women diagnosed with GDM during mid-late pregnancy and 50 non-GDM matchees in a Singapore birth cohort. At the 5-year post-partum follow-up, we applied an untargeted approach to investigate the profiles of serum metabolites among all participants. We first employed OPLS-DA and logistic regression to discriminate women with and without follow-up AGM, and then applied area under the curve (AUC) to assess the incremental indicative value of metabolic signatures on AGM. We identified 23 candidate metabolites that were associated with postpartum AGM among all participants. We then narrowed down to five metabolites [p-cresol sulfate, linoleic acid, glycocholic acid, lysoPC(16:1) and lysoPC(20:3)] specifically associating with both GDM and postpartum AGM. The combined metabolites in addition to traditional risks showed a higher indicative value in AUC (0.92–0.94 vs. 0.74 of traditional risks and 0.77 of baseline diagnostic biomarkers) and R2 (0.67–0.70 vs. 0.25 of traditional risks and 0.32 of baseline diagnostic biomarkers) in terms of AGM indication, compared with the traditional risks model and traditional risks and diagnostic biomarkers combined model. These metabolic signatures significantly increased the AUC value of AGM indication in addition to traditional risks, and might shed light on the pathophysiology underlying the transition from GDM to AGM.


Author(s):  
Uma Jain ◽  
Kusumlata Singhal ◽  
Shikha Jain ◽  
Deepali Jain

Background: Gestational diabetes mellitus (GDM) is defined as any degree of dysglycaemia that occurs for the first time or is first detected during pregnancy. The adverse effects of GDM on pregnant women are pre-eclampsia, PIH, PPH, polyhydramanios, PROM, meanwhile, there would be an increase in dystocia, birth injury, and cesarean sectionMethods: This retrospective study was conducted in a Gynecology clinic in District Shivpuri to find out the various risk factors for GDM and to evaluate the impact of GDM on maternal and fetal health during the antenatal period. 84 patients who were diagnosed with GDM were included in the study. Results: Among risk factors; BMI >25 kg/m2 before pregnancy was found in 15.47% of the case, family history of diabetes mellitus 8.33%, Previous history of macrosomia 17.85%, Poor reproductive history 17.85%, baby with congenital malformation 8.33%, H/o unexplained IUFD 11.90%. H/o polyhydramnios 15.47%. History of PCOS 13.09% and preeclampsia was found in 17.85% of cases. In antenatal complications; miscarriages was found in 15.47%. polyhydramnios in 17.85%. Oligohydramnios in 8.33%, preterm labor in 11.90%, PROM in 9.52%, pre-eclampsia in 17.85%, sudden IUFD in 8.33% and congenital malformation was found in 4.76% of cases. On USG; IUGR was found in 7.14% of cases. Large for date fetus in 16.66% of cases and the normal growth was found in 76.19% of cases.Conclusions- In conclusion appropriate and timely diagnosis and treatment of GDM will result in decreased maternal and neonatal adverse outcomes comparable to general population rates, therefore, early diagnosis is important.


2011 ◽  
Vol 204 (6) ◽  
pp. 522.e1-522.e6 ◽  
Author(s):  
Marina Stasenko ◽  
Jennifer Liddell ◽  
Yvonne W. Cheng ◽  
Teresa N. Sparks ◽  
Molly Killion ◽  
...  

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