scholarly journals First trimester secreted Frizzled-Related Protein 4 and other adipokine serum concentrations in women developing gestational diabetes mellitus

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242423
Author(s):  
Joost H. N. Schuitemaker ◽  
Rik H. J. Beernink ◽  
Arie Franx ◽  
Thomas I. F. H. Cremers ◽  
Maria P. H. Koster
Keyword(s):  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Age ◽  
Area Under The Curve ◽  
First Trimester ◽  
Multivariate Logistic Regression Model ◽  
Control Group ◽  
Related Protein ◽  
Serum Samples ◽  
First Trimester Of Pregnancy

Background The aim of this study was to evaluate whether soluble frizzled-related protein 4 (sFRP4) concentration in the first trimester of pregnancy is individually, or in combination with Leptin, Chemerin and/or Adiponectin, associated with the development of gestational diabetes (GDM). Methods In a nested case-control study, 50 women with GDM who spontaneously conceived and delivered a live-born infant were matched with a total of 100 uncomplicated singleton control pregnancies based on body mass index (± 2 kg/m2), gestational age at sampling (exact day) and maternal age (± 2 years). In serum samples, obtained between 70–90 days gestational age, sFRP4, Chemerin, Leptin and Adiponectin concentrations were determined by ELISA. Statistical comparisons were performed using univariate and multi-variate logistic regression analysis after logarithmic transformation of the concentrations. Discrimination of the models was assessed by the area under the curve (AUC). Results First trimester sFRP4 concentrations were significantly increased in GDM cases (2.04 vs 1.93 ng/ml; p<0.05), just as Chemerin (3.19 vs 3.15 ng/ml; p<0.05) and Leptin (1.44 vs 1.32 ng/ml; p<0.01). Adiponectin concentrations were significantly decreased (2.83 vs 2.94 ng/ml; p<0.01) in GDM cases. Further analysis only showed a weak, though significant, correlation of sFRP4 with Chemerin (R2 = 0.124; p<0.001) and Leptin (R2 = 0.145; p<0.001), and Chemerin with Leptin (R2 = 0.282; p<0.001) in the control group. In a multivariate logistic regression model of these four markers, only Adiponectin showed to be significantly associated with GDM (odds ratio 0.12, 95%CI 0.02–0.68). The AUC of this model was 0.699 (95%CI 0.605–0.793). Conclusion In the first trimester of pregnancy, a multi-marker model with sFRP4, Leptin, Chemerin and Adiponectin is associated with the development of GDM. Therefore, this panel seems to be an interesting candidate to further evaluate for prediction of GDM in a prospective study.

scholarly journals INVESTIGATION OF TROPHOBLAST IN TORCH INFECTION ON ABORTION MATERIAL IN THE FIRST TRIMESTER OF PREGNANCY

2019 ◽  
Vol 18 (4) ◽  
pp. 58-62
Author(s):  
A. V. Goshovskaya ◽  
V. M. Goshovsky ◽  
S. M. Yasnikovska
Keyword(s):  
Gestational Age ◽  
Imaging System ◽  
Chorionic Villus ◽  
First Trimester ◽  
Control Group ◽  
Chorionic Villi ◽  
Infectious Process ◽  
First Trimester Of Pregnancy ◽  
Torch Infection ◽  
Immunohistochemical Studies

This study is a fragment of a series of immunohistochemical studies of trophoblast with TORCH infection, which are scheduled to be carried out at different gestational dates. This article deals with the results of trophoblast studies at the gestational age of 7-8 weeks. The study examined abortion material 7-8 weeks of gestation. The main group of the study consisted of 18 observations of TORCH infection, and the control group consisted of 17 observations of an aborted pregnancy without signs of an infectious process (abortion for social reasons). An immunohistochemical procedure was performed on metalloproteinases-2 with primary antibodies and polymer antigen imaging system using DAKO diaminobenzidine. The method of computer microdensitometry in a specialized computer program ImageJ evaluated the optical density of the color. According to the results of immunohistochemical studies using computer microdensitometry at the gestational age of 7-8 weeks, both with TORCH infection and without it an infectious process, strong expression of metalloproteinase-2 is observed in the invasive trophoblast, the smallest – in the syncytotrophoblast of the chorionic villi, and intermediate values are noted in chorionic villus cytotrophoblast and cell column cytotrophoblast. With TORCH infection the expression of metalloproteinase-2 decreases in all the four types of trophoblast (cytotrophoblast of chorionic villi; cytotrophoblast of cell columns; invasive cytotrophoblast in endometrial fragments), except for syncytotrophoblast of chorionic villi was found.

scholarly journals Simple Model to Predict Gestational Diabetes in Nulliparous Women in Early Pregnancy

2021 ◽  
Author(s):  
Juan Jesus FERNANDEZ ALBA ◽  
Maria CASTILLO LARA ◽  
Jose Manuel JIMENEZ HERAS ◽  
Rocio MORENO CORTES ◽  
CARMEN GONZALEZ MACIAS ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Receiver Operating Characteristic ◽  
Operating Characteristic ◽  
First Trimester ◽  
Nulliparous Women ◽  
First Trimester Of Pregnancy ◽  
Receiver Operating

Abstract BackgroundThe aim of this study was to develop a simple tool using anthropometric, clinical, and analytical variables to predict the risk of gestational diabetes mellitus in the first trimester of pregnancy.MethodsA historical cohort study was conducted with 1,946 Caucasian nulliparous pregnant women at the Department of Obstetrics and Gynecology of the University Hospital of Puerto Real (Cádiz/Spain). The predictive model used was a multivariate logistic regression evaluated by 10-fold cross-validation with five iterations. Receiver-operating characteristic and prediction recall curves were plotted with the predictions of the model. Optimal cut-off points of the receiver-operating characteristic curve were estimated using the Youden Index and minimum distance to point 1,1.ResultsThe final logistic regression model included both maternal weight and height, thyroid-stimulating hormone, family history of diabetes mellitus or hypertension, and the presence of chronic hypertension as predictive variables. The model showed an accuracy of 0.93 and a receiver-operating characteristic area under the curve of 0.791.ConclusionsThis report provides a tool to predict the onset of gestational diabetes mellitus in nulliparous women during the first trimester of pregnancy. This tool is more accurate than the currently available tools and can facilitate the implementation of preventative interventions.

scholarly journals The Utility of Glycated Hemoglobin, Determined in the Second Trimester of Pregnancy, in Diagnosing Gestational Diabetes

2015 ◽  
Vol 22 (3) ◽  
pp. 233-240
Author(s):  
Monica Vereș ◽  
Doru Ioan Crăiuț ◽  
Johann Trutz ◽  
Aurel Babeș
Keyword(s):  
Gestational Diabetes ◽  
Area Under The Curve ◽  
First Trimester ◽  
Tolerance Test ◽  
Oral Glucose ◽  
Second Trimester ◽  
Mortality And Morbidity ◽  
Average Value ◽  
Study Results ◽  
First Trimester Of Pregnancy

Abstract Background and Aims: Gestational diabetes (GD) identifies a pregnancy with high obstetrical risk due to the possible complications that may appear and which are associated with significant perinatal mortality and morbidity. The role of HbA1c in diagnosing GD is still debatable. Our aim was to evaluate the clinical utility of HbA1c assessed in the second trimester of pregnancy (before performing the oral glucose tolerance test - OGTT) in establishing the macrosomia risk, and also for diagnosing GD. Material and methods: This was an observational study on a group of 165 pregnant women followed from the first trimester of pregnancy in whom we measured HbA1c in the second trimester, before running an OGTT with 100 grams of glucose and who delivered at term (37 - 41 weeks of pregnancy). Finally, HbA1c and OGTT were performed only in 132 women, these being the subjects of our study. Results: The average value of HbA1c was 4.85±1.23%. HbA1c was higher in the group having gestational diabetes (6.58±0.74%) in comparison to the group not having GD (4.52±0,80%). The Receiver Operating Characteristic (ROC) curve for HbA1c determined in the second trimester, for diagnosis of GD, has an area under the curve (AUC) of 0.939. Conclusions: HbA1c value could be considered as a sensitive and specific predictive factor in appreciating the macrosomia risk and could be set as an extra criterion in GD diagnosis.

scholarly journals Copeptin in Patients with Pregnancy-Induced Hypertension

2021 ◽  
Vol 18 (12) ◽  
pp. 6470
Author(s):  
Agnieszka Marek ◽  
Rafał Stojko ◽  
Agnieszka Drosdzol-Cop
Keyword(s):  
Pregnant Women ◽  
First Trimester ◽  
Control Group ◽  
Pregnancy Induced Hypertension ◽  
Serum Samples ◽  
Uterine Arteries ◽  
Induced Hypertension ◽  
Diagnostic Values ◽  
First Trimester Of Pregnancy ◽  
High Concentrations

Pregnancy-induced hypertension (PIH) occurs in 6–8% of pregnancies, and increases the risk of many severe obstetric complications. The etiology of PIH has not been fully explained, and hence, treatment is only palliative in nature, and prevention is not fully effective. It has been proposed that PIH development is influenced by the arginine vasopressin pathway, whose surrogate biomarker is copeptin. The aim of this study is a prospective assessment of the relationship between the level of copeptin in pregnant women and the occurrence of PIH, and to identify its usefulness in predicting complications. The study involved a group of 21 pregnant women who developed PIH and 37 women with uncomplicated pregnancies as a control group. Blood samples were collected at the three trimesters of gestation (<13 HBD, between 13 and 26 and> 26 HBD) and then frozen. Copeptin levels [pg/mL] were measured in serum samples obtained in the first, second and third trimesters of gestation from women in the PIH and control groups. The concentration of copeptin in the second and third trimesters of pregnancy was statistically significantly higher in the PIH group (p < 0.05). For copeptin determined in the first trimester, which could be used to screen for PIH, the area under the ROC curve was 0.650. The highest risk of PIH occurred in patients with high concentrations of copeptin in the first trimester of pregnancy and obesity OR = 5.5 (95% CI 1.0–31.3). The risk of PIH was augmented in patients with high levels of copeptin and an abnormal Doppler result of the uterine arteries OR = 28.4 (95% CI 5.3–152). In conclusion, copeptin levels were found to be elevated in pregnant women before the diagnosis of PIH; however, copeptin should not be used as a stand-alone marker. The combination of copeptin concentration with the other risk factors (diabetes, maternal age and preeclampsia in previous pregnancy) did not improve the diagnostic values of the use of copeptin in the PIH risk assessment, but the combination of copeptin concentration with BMI may be useful in clinical practice. Measurement of copeptin together with a Doppler examination of uterine arteries in the first trimester of pregnancy may be a useful marker in predicting the development of PIH.

FRACTIONAL DETERMINATIONS OF URINARY 17-KETOSTEROIDS IN HYPEREMESIS GRAVIDARUM

1962 ◽  
Vol 41 (1) ◽  
pp. 123-128 ◽  
Author(s):  
Pentti A. Järvinen ◽  
Sykkö Pesonen ◽  
Pirkko Väänänen
Keyword(s):  
Hyperemesis Gravidarum ◽  
First Trimester ◽  
Control Group ◽  
Before And After ◽  
Daily Urine ◽  
First Trimester Of Pregnancy ◽  
The Difference

ABSTRACT The fractional determination of 17-ketosteroids in the daily urine was performed in nine cases of hyperemesis gravidarum and in four control cases, in the first trimester of pregnancy both before and after corticotrophin administration. The excretion of total 17-KS is similar in the two groups. Only in the hyperemesis group does the excretion of total 17-KS increase significantly after corticotrophin administration. The fractional determination reveals no difference between the two groups of patients with regard to the values of the fractions U (unidentified 17-KS), A (androsterone) and Rest (11-oxygenated 17-KS). The excretion of dehydroepiandrosterone is significantly higher in the hyperemesis group than in the control group. The excretion of androstanolone seems to be lower in the hyperemesis group than in the control group, but the difference is not statistically significant. The differences in the correlation between dehydroepiandrosterone and androstanolone in the two groups is significant. The high excretion of dehydroepiandrosterone and low excretion of androstanolone in cases of hyperemesis gravidarum is a sign of adrenal dysfunction.

Preoperative Circulating MiR-210, a Risk Factor for Postoperative Delirium Among Elderly Patients with Gastric Cancer Undergoing Curative Resection

2020 ◽  
Vol 26 (40) ◽  
pp. 5213-5219
Author(s):  
Yun Chen ◽  
Jinwei Zheng ◽  
Junping Chen
Keyword(s):  
Gastric Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Elderly Patients ◽  
Curative Resection ◽  
Postoperative Delirium ◽  
Area Under The Curve ◽  
Multivariate Logistic Regression Model ◽  
Multivariate Logistic Regression ◽  
Clinicopathologic Characteristics

Background: Postoperative delirium (POD) is a very common complication in elderly patients with gastric cancer (GC) and associated with poor prognosis. MicroRNAs (miRNAs) serve as key post-transcriptional regulators of gene expression via targeting mRNAs and play important roles in the nervous system. This study aimed to investigate the potential predictive role of miRNAs for POD. Methods: Elderly GC patients who were scheduled to undergo elective curative resection were consequently enrolled in this study. POD was assessed at 1 day before surgery and 1-7 days after surgery following the guidance of the 5th edition of Diagnostic and Statistical Manual of Mental Disorders (DSM V, 2013). The demographics, clinicopathologic characteristics and preoperative circulating miRNAs by quantitative reverse transcription-polymerase chain reaction (qRT-PCR) were compared between patients with or without POD. Risk factors for POD were assessed via univariate and multivariate logistic regression analyses. Results: A total of 370 participants were enrolled, of which 63 had suffered from POD within postoperative 7 days with an incidence of 17.0%. Preoperative miR-210 was a predictor for POD with an area under the curve (AUC) of 0.921, a cut-off value of 1.67, a sensitivity of 95.11%, and a specificity of 92.06%, (P<0.001). In the multivariate logistic regression model, the relative expression of serum miR-210 was an independent risk factor for POD (OR: 3.37, 95%CI: 1.98–5.87, P=0.003). Conclusions: In conclusion, the present study highlighted that preoperative miR-210 could serve as a potential predictor for POD in elderly GC patients undergoing curative resection.

scholarly journals Distribution of diandric and digynic triploidy depending on gestational age

2021 ◽  
Author(s):  
Diana Massalska ◽  
Katarzyna Ozdarska ◽  
Tomasz Roszkowski ◽  
Julia Bijok ◽  
Anna Kucińska-Chahwan ◽  
...  
Keyword(s):  
Gestational Age ◽  
Pregnancy Loss ◽  
First Trimester ◽  
Parental Origin ◽  
Second Trimester ◽  
Chain Reaction ◽  
Spontaneous Pregnancy ◽  
First Trimester Of Pregnancy ◽  
Polymerase Chain ◽  
Fluorescent Polymerase Chain Reaction

Abstract Purpose To establish the distribution of diandric and digynic triploidy depending on gestational age. Methods 107 triploid samples tested prospectively in a single genetic department during a four-year period were analyzed for parental origin of triploidy by Quantitative Fluorescent Polymerase Chain Reaction (QF-PCR) (n=95) with the use of matching parental samples or by MS-MLPA (n=12), when parental samples were unavailable. Tested pregnancies were divided into three subgroups with regard to the gestational age at spontaneous pregnancy loss: <11 gestational weeks, 11–14 gestational weeks, and >14 gestational weeks. Results Diandric triploidy constituted overall 44.9% (46.5% in samples miscarried <11 gestational weeks, 64.3% in samples miscarried between 11 and 14 gestational weeks, and 27.8% in pregnancies which survived >14 gestational weeks). Conclusions The distribution of diandric and digynic triploidy depends on gestational age. The majority of diandric triploid pregnancies is lost in the first trimester of pregnancy. In the second trimester, diandric cases are at least twice less frequent than digynic ones.

scholarly journals Autophagy-related protein LC3 and Beclin-1 in the first trimester of pregnancy

2013 ◽  
Vol 40 (1) ◽  
pp. 33 ◽  
Author(s):  
Barbara Chifenti ◽  
Maria Teresa Locci ◽  
Gloria Lazzeri ◽  
Mariangela Guagnozzi ◽  
Dino Dinucci ◽  
...  
Keyword(s):  
First Trimester ◽  
Beclin 1 ◽  
Related Protein ◽  
First Trimester Of Pregnancy

scholarly journals First trimester gut microbiome induces Inflammation-dependent gestational diabetes phenotype in mice

2021 ◽  
Author(s):  
Yishay Pinto ◽  
Sigal Frishman ◽  
Sondra Turjeman ◽  
Adi Eshel ◽  
Meital Nuriel-Ohayon ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Gestational Diabetes ◽  
Gut Microbiome ◽  
First Trimester ◽  
Microbial Composition ◽  
Metabolic Complications ◽  
Wide Range ◽  
First Trimester Of Pregnancy ◽  
Stool Samples ◽  
Clinical Records

AbstractGestational diabetes mellitus (GDM) is a condition in which non-diabetic women are diagnosed with glucose intolerance during pregnancy, typically in the second trimester. GDM can lead to a wide range of obstetrical and metabolic complications for both mother and neonate1. Early identification of GDM risk, along with a better understanding of its pathophysiology during the first trimester of pregnancy, may be effective in reducing GDM incidence, as well as its associated short and long term morbidities2. Here, we comprehensively profiled the gut microbiome, metabolome, inflammatory cytokines, nutrition and clinical records of 394 women during the first trimester of pregnancy. We found elevated levels of proinflammatory serum cytokines in those who later developed GDM. The women’s stool samples were also characterized by decreased levels of several fecal short-chain fatty acids and altered microbiome. We next tested the hypothesis that differences in GDM-associated microbial composition during the first trimester drove inflammation and insulin-resistance. Stool samples collected early in pregnancy from women from three populations who did and did not later develop GDM were transplanted to germ-free mice and confirmed that both inflammation and insulin-resistance are induced by the microbiome of pregnant women more than 10 weeks prior to GDM diagnosis. Following these observations, we used a machine-learning approach to predict GDM based on first trimester clinical, microbial and inflammatory markers. Our model showed high predictive accuracy. Overall, our results suggest that the gut microbiome of women in the first trimester plays a remarkable role in inflammation-induced GDM pathogenesis and point to dozens of GDM markers during the first trimester of pregnancy, some of which may be targets for therapeutic intervention.

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