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Journal ArticleDOI: 10.1080/09513590.2020.1843620

Identification of miR-16-5p and miR-155-5p microRNAs differentially expressed in circulating leukocytes of pregnant women with polycystic ovary syndrome and gestational diabetes

04 Mar 2021-Gynecological Endocrinology (Taylor & Francis)-Vol. 37, Iss: 3, pp 216-220
Abstract: Pregnant women with polycystic ovary syndrome (PCOS) are at increased risk of gestational diabetes (GDM). We aimed to assess the expressions of candidate microRNAs (miRs) in leukocytes of pregnant ...

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Topics: Polycystic ovary (69%), Gestational diabetes (58%)

5 results found

Open accessJournal ArticleDOI: 10.3390/NCRNA7030039
07 Jul 2021-Non-Coding RNA
Abstract: Substantial evidence indicates that microRNA-155 (miR-155) plays a crucial role in the pathogenesis of diabetes mellitus (DM) and its complications. A number of clinical studies reported low serum levels of miR-155 in patients with type 2 diabetes (T2D). Preclinical studies revealed that miR-155 partakes in the phenotypic switch of cells within the islets of Langerhans under metabolic stress. Moreover, miR-155 was shown to regulate insulin sensitivity in liver, adipose tissue, and skeletal muscle. Dysregulation of miR-155 expression was also shown to predict the development of nephropathy, neuropathy, and retinopathy in DM. Here, we systematically describe the reports investigating the role of miR-155 in DM and its complications. We also discuss the recent results from in vivo and in vitro models of type 1 diabetes (T1D) and T2D, discussing the differences between clinical and preclinical studies and shedding light on the molecular pathways mediated by miR-155 in different tissues affected by DM.

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Topics: Type 2 diabetes (56%), Diabetes mellitus (56%), Type 1 diabetes (54%) ... read more

8 Citations

Open accessJournal ArticleDOI: 10.3390/CELLS10010170
15 Jan 2021-Cells
Abstract: Early identification of gestational diabetes mellitus (GDM) aims to reduce the risk of adverse maternal and perinatal outcomes. Currently, no circulating biomarker has proven clinically useful for accurate prediction of GDM. In this study, we tested if a panel of small non-coding circulating RNAs could improve early prediction of GDM. We performed a nested case-control study of participants from the European multicenter 'Vitamin D and lifestyle intervention for GDM prevention (DALI)' trial using serum samples from obese pregnant women (BMI ≥ 29 kg/m2) entailing 82 GDM cases (early- and late- GDM), and 41 age- and BMI-matched women with normal glucose tolerance (NGT) throughout pregnancy (controls). Anthropometric, clinical and biochemical characteristics were obtained at baseline (<20 weeks of gestation) and throughout gestation. Baseline serum microRNAs (miRNAs) were measured using quantitative real time PCR (qPCR). Elevated miR-16-5p, -29a-3p, and -134-5p levels were observed in women, who were NGT at baseline and later developed GDM, compared with controls who remained NGT. A combination of the three miRNAs could distinguish later GDM from NGT cases (AUC 0.717, p = 0.001, compared with fasting plasma glucose (AUC 0.687, p = 0.004)) as evaluated by area under the curves (AUCs) using Receiver Operator Characteristics (ROC) analysis. Elevated levels of individual miRNAs or a combination hereof were associated with higher odds ratios of GDM. Conclusively, circulating miRNAs early in pregnancy could serve as valuable predictive biomarkers of GDM.

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Topics: Gestational diabetes (53%)

3 Citations

Journal ArticleDOI: 10.1080/09513590.2021.1908990
Fuyan Wang1, Zhulin Li1, Ming Zhao1, Wen Ye1  +4 moreInstitutions (1)
Abstract: MicroRNAs (miRNAs) are potentially involved in the regulation of glucose and lipid metabolism. The aim of this study was to investigate potential miRNA regulators for serum lipids and blood glucose...

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Topics: Lipid metabolism (59%), Gestational diabetes (51%), Blood lipids (51%)

1 Citations

Open accessJournal ArticleDOI: 10.3389/FENDO.2021.664287
Abstract: Gestational diabetes mellitus (GDM) is defined as glucose intolerance with onset or first recognition in the second or third trimester of pregnancy. GDM has a considerable impact on health outcomes of the mother and offspring during pregnancy, delivery, and beyond. Although the exact mechanism regarding GDM remains unclear, numerous studies have suggested that non-coding RNAs, including long non-coding (lnc)RNAs, microRNAs, and circular RNAs, were involved in the pathogenesis of GDM in which they played vital regulatory roles. Additionally, several studies have revealed that extracellular vehicles also participated in the pathogenesis of GDM, highlighting their important role in this disease. Considering the lack of effective biomarkers for the early identification of and specific treatment for GDM, non-coding RNAs and extracellular vehicles may be promising biomarkers and even targets for GDM therapies. This review provides an update on our understanding of the role of non-coding RNAs and extracellular vehicles in GDM. As our understanding of the function of lncRNAs and extracellular vehicles improves, the future appears promising for their use as potential biomarkers and treatment targets for GDM in clinical practice.

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1 Citations

Journal ArticleDOI: 10.1016/J.CCA.2021.09.004
Xiaoshi Sun1, He Sun1, Ping Li1Institutions (1)
Abstract: Gestational diabetes mellitus (GDM) is the most common cause of hyperglycemia during pregnancy, and its prevalence has increased over the past decades. GDM is directly related to the recent obstetric outcomes and long-term maternal and child health, which can be greatly improved by early identification and diagnosis of GDM. However, the prediction of the disease has always been a difficult problem due to the lack of simple and practical serological markers. Despite the controversy, recent studies have identified that circulating inflammatory cells and platelets, routinely included in the obstetric blood tests, are related to the development of GDM and adverse pregnancy outcomes. In this review, we summarized the studies in this field based on the recent literature. The inflammatory cell components we included were the total number of white blood cells, neutrophils, lymphocytes, monocytes and platelets, which were routinely examined in the blood tests in pregnancy. The aim of this review is not only to enrich our understanding of the pathogenesis of GDM but also to provide evidence for the value of these novel and practical serological markers in early identification of GDM and the prevention and its adverse outcomes.

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Topics: Gestational diabetes (55%), Pregnancy (54%)

26 results found

Open accessJournal ArticleDOI: 10.3758/BF03193146
Abstract: G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of thet, F, and χ2 test families. In addition, it includes power analyses forz tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.

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Topics: Windows Vista (55%)

30,063 Citations

Journal ArticleDOI: 10.1016/J.FERTNSTERT.2003.10.004
Abstract: Since the 1990 NIH-sponsored conference on polycystic ovary syndrome (PCOS),it has become appreciated that the syndrome encompasses a broader spectrum of signs and symptoms of ovarian dysfunction than those defined by the original diagnostic criteria. The 2003 Rotterdam consensus workshop concluded that PCOS is a syndrome of ovarian dysfunction along with the cardinal features hyperandrogenism and polycystic ovary (PCO) morphology. PCOS remains a syndrome and,as such,no single diagnostic criterion (such as hyperandrogenism or PCO) is sufficient for clinical diagnosis. Its clinical manifestations may include: menstrual irregularities,signs of androgen excess,and obesity. Insulin resistance and elevated serum LH levels are also common features in PCOS. PCOS is associated with an increased risk of type 2 diabetes and cardiovascular events.

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Topics: Polycystic ovary (67%), Polycystic ovary syndrome (PCOS) (61%), Hyperandrogenism (57%) ... read more

7,311 Citations

Open accessJournal ArticleDOI: 10.2337/DC10-0719
Boyd E. Metzger, Steven G. Gabbe1, Bengt Persson2, Lynn P. Lowe  +3 moreInstitutions (4)
01 Jul 2010-Diabetes Care
Abstract: In the accompanying comment letter (1), Weinert summarizes published data from the Brazilian Gestational Diabetes Study (2) and comments on applying International Association of Diabetes and Pregnancy Study Groups (IADPSG) Consensus Panel recommendations (3) for the diagnosis of gestational diabetes mellitus (GDM) to that cohort. The Brazilian study provided evidence that adverse perinatal outcomes are associated with levels of maternal glycemia below those diagnostic of GDM by American Diabetes Association or World Health Organization criteria. However, the results were potentially confounded by the treatment of GDM. It did find that women with GDM were at increased risk for some …

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Topics: Gestational diabetes (68%), Diabetes mellitus (54%), Pregnancy (53%) ... read more

928 Citations

Open accessJournal ArticleDOI: 10.1210/JC.2013-2218
Abstract: Context: MicroRNAs (miRNAs) are small, noncoding RNA sequences that negatively regulate gene expression at the post-transcriptional level. miRNA-21, miRNA-27b, miRNA-103, and miRNA-155 have been associated with metabolic disorders such as obesity and diabetes, which are also associated with polycystic ovary syndrome (PCOS). Objective: We aimed to evaluate the effects of sex, sex hormones, and PCOS and their interactions with obesity on the expression in the circulation of these miRNAs. Design: This was a case-control study. Settings: The setting was an academic hospital. Participants: We included 12 control women, 12 patients with PCOS, and 12 men selected as to have similar body mass index (BMI) and age. Six subjects per group had normal weight (BMI < 25 kg/m2), and six subjects per group were obese (BMI ≥ 30 kg/m2). Interventions: Blood samples were collected early in the morning after a 12-hour fast. Main Outcome Measures: We measured whole blood expression of miRNA-21, miRNA-27b, miRNA-103, and miRNA-...

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114 Citations

Open accessJournal ArticleDOI: 10.1186/S12920-015-0136-7
Abstract: Non-cellular blood circulating microRNAs (plasma miRNAs) represent a promising source for the development of prognostic and diagnostic tools owing to their minimally invasive sampling, high stability, and simple quantification by standard techniques such as RT-qPCR. So far, the majority of association studies involving plasma miRNAs were disease-specific case-control analyses. In contrast, in the present study, plasma miRNAs were analysed in a sample of 372 individuals from a population-based cohort study, the Study of Health in Pomerania (SHIP). Quantification of miRNA levels was performed by RT-qPCR using the Exiqon Serum/Plasma Focus microRNA PCR Panel V3.M covering 179 different miRNAs. Of these, 155 were included in our analyses after quality-control. Associations between plasma miRNAs and the phenotypes age, body mass index (BMI), and sex were assessed via a two-step linear regression approach per miRNA. The first step regressed out the technical parameters and the second step determined the remaining associations between the respective plasma miRNA and the phenotypes of interest. After regressing out technical parameters and adjusting for the respective other two phenotypes, 7, 15, and 35 plasma miRNAs were significantly (q < 0.05) associated with age, BMI, and sex, respectively. Additional adjustment for the blood cell parameters identified 12 and 19 miRNAs to be significantly associated with age and BMI, respectively. Most of the BMI-associated miRNAs likely originate from liver. Sex-associated differences in miRNA levels were largely determined by differences in blood cell parameters. Thus, only 7 as compared to originally 35 sex-associated miRNAs displayed sex-specific differences after adjustment for blood cell parameters. These findings emphasize that circulating miRNAs are strongly impacted by age, BMI, and sex. Hence, these parameters should be considered as covariates in association studies based on plasma miRNA levels. The established experimental and computational workflow can now be used in future screening studies to determine associations of plasma miRNAs with defined disease phenotypes.

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Topics: Population (52%)

109 Citations