Placental endoplasmic reticulum stress and acidosis: relevant aspects in gestational diabetes

Jawerbaum, Alicia

doi:10.1007/s00125-016-4048-7

Cited by 4 publications

(2 citation statements)

References 14 publications

(18 reference statements)

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“…In the data set of this paper, almost all the initial diagnosis is consistent with the final diagnosis, which means that the patient's real disease can be identified through the initial diagnosis, but this situation is not realistic in clinic. At the same time, considering the error and nonstandard of information input, this paper will not use the initial diagnosis as a feature to introduce into the constructed classification model [25,26].…”

Section: Data Collectionmentioning

confidence: 99%

Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data

Liu

Sun

2021

Journal of Healthcare Engineering

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At present, the secondary application of electronic medical records is focused on auxiliary medical diagnosis to improve the accuracy of clinical diagnosis. The main research in this article is the prediction method of gestational diabetes based on electronic medical record data. In the original data, the ID number of the medical examiner did not match the medical examination record. In order to ensure the accuracy of the data, this part of the record was removed. First, the preparation stage before building the model is to determine the baseline accuracy of the original data, test the effectiveness of the machine learning algorithm, and then balance the target data set to solve the bias caused by the imbalance between data classes and the illusion of excessive model prediction results. Then, the disease prediction model is constructed by dividing the data set, selecting parameters and algorithms, and visualizing the model. Finally, the effect of predictive model construction is comprehensively judged based on multiple evaluation indicators and control experimental models. In this paper, the RF model can be used to rank the importance of the feature importance of the output feature on the importance of the classification result of the input feature. In order to test the accuracy of regression prediction, the experiment uses absolute mean error and root mean square error to evaluate the accuracy of fasting blood glucose prediction. A logistic regression model is constructed through the training set, and the test set data are brought into the prediction model for prediction. Experimental data show that when the features filtered by WBFS are used, the accuracy, F1 value, and AUC value of logistic regression are 0.809, 0.881, and 0.825, respectively, which is an increase of about 12% compared with when the feature is not used. The results show that the electronic medical record data drive can effectively improve the accuracy of predicting gestational diabetes.

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Section: Data Collectionmentioning

confidence: 99%

Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data

Liu

Sun

2021

Journal of Healthcare Engineering

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“…One report demonstrated that GDM is associated with increased placental endoplasmic reticulum (ER) stress. Although not specifically studied in the placenta, there are a number of links between ER stress and nutrient transport ( 52 ). For example, ER stress typically results in the phosphorylation of the translation initiation factor 2 eiF2α leading to inhibition of global protein translation and mTOR signaling, which is expected to inhibit nutrient transport.…”

Section: Placental Nutrient Transport In Gdmmentioning

confidence: 99%

Placental Nutrient Transport in Gestational Diabetic Pregnancies

Castillo-Castrejón

Powell

2017

Front. Endocrinol.

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Maternal obesity during pregnancy is rising and is associated with increased risk of developing gestational diabetes mellitus (GDM), defined as glucose intolerance first diagnosed in pregnancy (1). Fetal growth is determined by the maternal nutrient supply and placental nutrient transfer capacity. GDM-complicated pregnancies are more likely to be complicated by fetal overgrowth or excess adipose deposition in utero. Infants born from GDM mothers have an increased risk of developing cardiovascular and metabolic disorders later in life. Diverse factors, such as ethnicity, age, fetal sex, clinical treatment for glycemic control, gestational weight gain, and body mass index among others, represent a challenge for studying underlying mechanisms in GDM subjects. Determining the individual roles of glucose intolerance, obesity, and other factors on placental function and fetal growth remains a challenge. This review provides an overview of changes in placental macronutrient transport observed in human pregnancies complicated by GDM. Improved knowledge and understanding of the alterations in placenta function that lead to pathological fetal growth will allow for development of new therapeutic interventions and treatments to improve pregnancy outcomes and lifelong health for the mother and her children.

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Cellular and molecular oxidative stress-related effects in uterine myometrial and trophoblast-decidual tissues after perigestational alcohol intake up to early mouse organogenesis

et al. 2017

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The placenta plays a major role in embryo-fetal defects and intrauterine growth retardation after maternal alcohol consumption. Our aims were to determine the oxidative status and cellular and molecular oxidative stress effects on uterine myometrium and trophoblast-decidual tissue following perigestational alcohol intake at early organogenesis. CF-1 female mice were administered with 10% alcohol in drinking water for 17 days prior to and up to day 10 of gestation. Control females received ethanol-free water. Treated mice had smaller implantation sites compared to controls (p < 0.05), diminished maternal vascular lumen, and irregular/discontinuous endothelium of decidual vessels. The trophoblast giant cell layer was disorganized and presented increased abnormal nuclear frequency. The myometrium of treated females had reduced nitrite content, increased superoxide dismutase activity, and reduced glutathione (GSH) content (p < 0.05). However, the trophoblast-decidual tissue of treated females had increased nitrite content (p < 0.05), increased GSH level (p < 0.001), increased thiobarbituric acid-reactive substance concentration (p < 0.001), higher 3-nitrotyrosine immunoreaction, and increased apoptotic index (p < 0.05) compared to controls. In summary, perigestational alcohol ingestion at organogenesis induced oxidative stress in the myometrium and trophoblast-decidual tissue, mainly affecting cells and macromolecules of trophoblast and decidual tissues around early organogenesis, in CF-1 mouse, and suggests that oxidative-induced abnormal early placental formation probably leads to risk of prematurity and fetal growth impairment at term.

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Placental endoplasmic reticulum stress and acidosis: relevant aspects in gestational diabetes

Cited by 4 publications

References 14 publications

Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data

Prediction Method of Gestational Diabetes Based on Electronic Medical Record Data

Placental Nutrient Transport in Gestational Diabetic Pregnancies

Cellular and molecular oxidative stress-related effects in uterine myometrial and trophoblast-decidual tissues after perigestational alcohol intake up to early mouse organogenesis

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