123 results on '"gdm"'
Search Results
2. Gestational diabetes mellitus – Can we do better with postpartum diabetes screening?
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Zafrir-Danieli, Hadas, Houri, Ohad, Rotem, Reut, Weinberg-Almog, Dror, Bercovich, Or, Hadar, Eran, and Berezowsky, Alexandra
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- 2024
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3. The impact of lowering the blood glucose cut-off values in gestational diabetes mellitus on maternal and perinatal outcomes
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Monemi, Edvin, Tingström, Joanna, Sterpu, Irene, and Wiberg-Itzel, Eva
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- 2025
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4. Genetic variations in IGF2BP2 and CAPN10 and their interaction with environmental factors increase gestational diabetes mellitus risk in Chinese women
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Yang, Runqiu, Wang, Xin, Zhang, Yi, Jin, Lei, Zhao, Kai, Chen, Juan, Shang, Xuejun, Zhou, Yuanzhong, and Yu, Hongsong
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- 2025
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5. A qualitative investigation into the perceptions and experiences of the stigma attached to gestational diabetes mellitus among women in Denmark
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Davidsen, Emma, Terkildsen Maindal, Helle, Byrne, Molly, Kelstrup, Louise, Ovesen, Per, Damm, Peter, and Kragelund Nielsen, Karoline
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- 2023
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6. MiR-142-5p mediated Nrf2 dysregulation in gestational diabetes mellitus and its impact on placental angiogenesis.
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Milan, K.L., Gayatri, V., Kriya, Kumaran, Sanjushree, N., Vishwanathan Palanivel, Sri, Anuradha, M., and Ramkumar, Kunka Mohanram
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Gestational diabetes mellitus (GDM) presents significant risks during pregnancy, including adverse perinatal outcomes and placental dysfunction. Impaired angiogenesis, involving crucial factors like Vascular Endothelial Growth Factor (VEGF), contributes to these complications. The Nrf2/Keap1 pathway, crucial for vascular redox homeostasis, has been linked to GDM-associated angiogenesis dysregulation. This study aimed to investigate the molecular mechanisms underlying placental Nrf2 regulation, focusing on angiomiRs, key regulators of angiogenesis in GDM. Computational analysis identified miR-142-5p targeting Nrf2 mRNA. Expression levels of miR-142-5p were assessed in GDM placenta and correlated with Nrf2 expression. Experimental validation utilized human trophoblastic cell lines (BeWo) exposed to hyperglycemic conditions, assessing the effects of anti-miR-142 transfection on Nrf2 expression and angiogenic marker levels. miR-142-5p expression was significantly downregulated in GDM placenta, correlating positively with Nrf2 expression. In BeWo cells exposed to hyperglycemia, anti-miR-142 transfection notably increased Nrf2 expression alongside angiogenic marker levels, confirming the computational predictions. Our findings highlight the pivotal role of miRNAs in GDM-associated impaired angiogenesis by modulating Nrf2 expression. Understanding these molecular mechanisms provides insights into potential therapeutic targets for improving pregnancy outcomes in GDM cases. • Nrf2, its downstream targets and angiogenic factors were downregulated in GDM placenta. • Overexpression of miR-142-5p impairs angiogenesis via dysregulation of Nrf2 in GDM. • MiR-142-5p directly binding with functional domains of Nrf2 in silico. • Silencing miR-142-5p restores Nrf2 and angiogenesis expression in HG induced BeWo cells. [ABSTRACT FROM AUTHOR]
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- 2024
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7. Association between protein intake and risk of gestational diabetes mellitus: A systematic review and dose–response meta-analysis of cohort studies.
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Tabaeifard, Razieh, Moradi, Maedeh, Arzhang, Pishva, and Azadbakht, Leila
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Gestational diabetes mellitus (GDM) is a common condition in pregnancy, the prevalence of which has increased. Identifying modifiable risk factors for GDM, such as dietary factors, could prevent or delay the onset of the condition. Our goal was to perform a comprehensive meta-analysis of cohort studies, to summarize the current evidence on the relationship between total, animal, and plant protein intake during pregnancy, as well as pre-pregnancy protein intake, and the risk of GDM. A literature search was completed using Scopus, PubMed, Web of Science, and Google Scholar up to January 2023 and references of retrieved relevant articles. Observational studies examining the association between the consumption of dietary protein from different sources in pre-pregnancy or/and during pregnancy and the risk of GDM were included. To combine effect sizes for the comparison between the highest and lowest categories of protein intake, a random effects model was utilized. Dose–response relationships were investigated using a 1-stage random-effects model. 8 observational studies were included in the systematic review and 5 prospective cohort studies in the meta-analysis, involving a total of 24,160 participants and 2450 cases of GDM. The analysis revealed a significant association between total protein intake during pregnancy and an elevated risk of GDM (relative risk (RR): 2.24, 95 % confidence interval (CI): 1.67–3.00, P = 0.000). Conversely, no significant association was found between total protein intake before pregnancy and the risk of GDM. Both animal protein intake before pregnancy (RR: 1.47, 95 % CI: 1.06–2.03, P = 0.021) and during pregnancy (RR; 2.31, 95 % CI: 1.43–3.73, P = 0.001) showed a significant association with GDM. Interestingly, there was no significant association between the consumption of plant protein both before and during pregnancy and the risk of GDM. Further analysis revealed that an additional 5 % energy from total protein and animal protein per day was associated with a 24 % and 32 % before and 114 % and 67 % increased risk of GDM during pregnancy respectively. In conclusion, consumption of animal protein and total protein before pregnancy is associated with an increased risk of GDM, although the association is not significant for total protein. Conversely, plant protein intake is linked to a decreased risk of GDM, however, the results are not significant. The intake of any protein type (plant/animal/total) during pregnancy is associated with an elevated risk of GDM, with this association being statistically insignificant for plant protein. Further cohort studies are required to validate the findings presented in this study. PROSPERO (CRD42023396215). [ABSTRACT FROM AUTHOR]
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- 2024
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8. The holistic maternity care needs of women with Gestational Diabetes Mellitus: A systematic review with thematic synthesis.
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Davis, Deborah, Kurz, Ella, Hooper, Mary-Ellen, Atchan, Marjorie, Spiller, Sarah, Blackburn, Julie, Bushell, Mary, Lewis, Vivienne, Leung, Myra, Samarawickrema, Indira, and Knight-Agarwal, Cathy
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Models of care for women with gestational diabetes mellitus (GDM) have evolved in an ad hoc way and do not meet women's needs. GDM affects 50,000 Australian women per annum with prevalence quadrupling in the last ten years. Many health services are struggling to provide a quality service. People with diabetes are calling for care that focuses on their wellbeing more broadly. To examine the holistic (emotional, social, economic, and spiritual) care needs of women with GDM. Qualitative and mixed-methods studies capturing the healthcare experiences of women with GDM were searched for in CINAHL, Medline, Web of Science and Scopus. English-language studies published between 2011 and 2023 were included. Quality of studies was assessed using Crowe Critical Appraisal Tool and NVIVO was used to identify key themes and synthesise data. Twenty-eight studies were included, representing the experiences of 958 women. Five themes reflect women's holistic needs through their journey from initial diagnosis to postpartum: psychological impact, information and education, making change for better health, support, and care transition. The biomedical, fetal-centric model of care neglects the woman's holistic wellbeing resulting in high levels of unmet need. Discontinuity between tertiary and primary services results in a missed opportunity to assist women to make longer term changes that would benefit themselves (and their families) into the future. The provision of holistic models of care for this cohort is pivotal to improving clinical outcomes and the experiences of women with GDM. [ABSTRACT FROM AUTHOR]
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- 2024
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9. Regulatory mechanisms underlying endoplasmic reticulum stress involvement in the development of gestational diabetes mellitus entail the CHOP-PPARα–NF–κB pathway.
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He, Mengzhou, Guo, Xijiao, Jia, Jing, Zhang, Jingyi, Zhou, Xuan, Wei, Lijie, Yu, Jun, Wang, Shaoshuai, and Feng, Ling
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We investigated the proinflammatory functions of endoplasmic reticulum stress and peroxisome proliferator-activated receptor α (PPARα) in the development of gestational diabetes mellitus (GDM) and their relationship in regulating inflammation in GDM. This study was performed on placentas of normal pregnant women, women with GDM, and HTR8 cells. Transmission electron microscopy, immunohistochemistry, Western blot analysis, and RT-PCR were performed to analyze ERS and PPARα expression on both normal and GDM pregnancy placentas. ELISA was performed to analyze inflammatory biomarkers. To generate models of the GDM-like state, placentas of normal pregnancy were treated with LPS and polyinosinic-polycytidylic acid (poly [I:C]). TG, CHOP plasmid, and CHOP siRNA were assessed as to their regulation of HTR8 cells to discern the relationship between ERS and PPARα in regulating the inflammation associated with GDM. ERS was elevated in GDM placentas, induced the secretion of IL-6 and TNF-α, and attenuated the expression of GLUT-4. PPARα was diminished in GDM placentas and inhibited the inflammatory responses via the NF-κB nuclear-transport process. 4-PBA reduced CHOP and augmented PPARα, and it decreased IL-6 and TNF-α in our GDM-like explant. However, with both 4-PBA and MK886 treatment, we noted no significant difference in CHOP expression. The level of PPARα was reduced, and that of NF-κB p65 in the nucleus was elevated with TG treatment in the HTR8/Svneo. Knockdown of CHOP increased PPARα and reduced NF-κB p65, while expression of PPARα declined, and that of NF-κB p65 rose with the application of CHOP when HTR8 cells were treated with TG. ERS contributes to the pathophysiology of GDM in pregnancy via the CHOP-PPARα–NF–κB-signalling pathway by inducing aberrant activation of inflammation and insulin resistance. • ERS is increased including CHOP and induced pro-inflammatory function in GDM placentas. • PPARα is downregulated and promotes the NF-κB nuclear-transport process in placental of GDM. • Regulation of ERS affects the expression of pro-inflammatory factors through CHOP-PPARα–NF–κB pathway in GDM. [ABSTRACT FROM AUTHOR]
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- 2023
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10. Effects of the Consumption of Low to Medium Glycemic Index–based Rice on the Rate of Insulin Initiation in Patients with Gestational Diabetes: A Triple-blind, Randomized, Controlled Trial.
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Sanpawithayakul, Kanokporn, Kaewprasert, Natthapon, Tantiyavarong, Pichaya, Wichansawakun, Sanit, Somprasit, Charinthip, Tanathornkeerati, Nattamon, Srichan, Chomchanok, and Tharavanij, Thipaporn
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- 2023
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11. Group decision making based on entropy measure of Pythagorean fuzzy sets and Pythagorean fuzzy weighted arithmetic mean aggregation operator of Pythagorean fuzzy numbers.
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Kumar, Kamal and Chen, Shyi-Ming
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FUZZY sets , *FUZZY arithmetic , *AGGREGATION operators , *GROUP decision making , *FUZZY numbers , *ARITHMETIC mean - Abstract
In this paper, we propose a new entropy measure of Pythagorean fuzzy sets (PFSs). The proposed entropy measure of PFSs can conquer the shortcomings of the existing entropy measure of PFSs. We also propose the Pythagorean fuzzy weighted arithmetic mean (PFWAM) aggregation operator (AO) of Pythagorean fuzzy numbers (PFNs). The proposed PFWAM AO of PFNs can conquer the shortcomings of the existing sine trignometry Pythagorean fuzzy weighted averaging (ST-PFWA) AO and the existing sine trignometry Pythagorean fuzzy weighted geometric (ST-PFWG) AO of PFNs. Based on the proposed entropy measure of PFSs and the proposed PFWAM AO of PFNs, we propose a new group decision making (GDM) approach in the environment of PFNs. The proposed GDM approach can conquer the shortcomings of existing GDM approaches, where they cannot distinguish the ranking orders (ROs) of alternatives in some conditions. It offers us a very useful approach to deal with GDM problems in the environment of PFNs. [ABSTRACT FROM AUTHOR]
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- 2023
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12. Group decision making based on advanced interval-valued intuitionist fuzzy weighted averaging aggregation operator and score function of interval-valued intuitionist fuzzy values.
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Kumar, Kamal and Chen, Shyi-Ming
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GROUP decision making , *AGGREGATION operators , *OPERATOR functions , *VALUES (Ethics) , *CLOUD computing - Abstract
This paper proposes a new group decision making (GDM) approach in the environments of interval-valued intuitionistic fuzzy values (IVIFVs). Firstly, we propose a new score function of IVIFVs, where the proposed score function of IVIFVs can overcome the drawbacks of the existing score function of IVIFVs. The properties of the proposed score function of IVIFVs are also presented. Then, we propose the advanced interval-valued intuitionist fuzzy averaging (AIVIFA) aggregation operator of IVIFVs. We also provide the proofs of the properties of the proposed AIVIFA aggregation operator. Then, we propose the advanced interval-valued intuitionist fuzzy weighted averaging (AIVIFWA) aggregation operator of IVIFVs. Then, we propose a new GDM approach based on the proposed AIVIFWA aggregation operator of IVIFVs and the proposed score function of IVIFVs. Finally, we apply the proposed GDM approach to deal with a real-world application of cloud service selection. The proposed GDM approach can overcome the drawbacks of the existing GDM approach, which is unable to distinguish the ranking orders of alternatives in some situations. The proposed GDM approach gives us a very useful way to deal with GDM problems in the environments of IVIFVs. [ABSTRACT FROM AUTHOR]
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- 2023
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13. Genetic variants related to insulin metabolism are associated with gestational diabetes mellitus.
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Bhushan, Ravi, Haque, Shafiul, Gupta, Rakesh Kumar, Rani, Anjali, Diwakar, Amita, Agarwal, Sakshi, Tripathi, Anima, and Dubey, Pawan K.
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GENETIC variation , *GESTATIONAL diabetes , *SINGLE nucleotide polymorphisms , *GENETIC models , *INSULIN , *PREGNANT women - Abstract
• Associations of common genetic risk variants with GDM risk in the north Indian population were investigated. • Relative risk, population penetrance and attributable risk for risk allele variants was higher in GDM mother. • Four variants FTO, PPARG2, SLC30A8, and TCF7L2 were significantly associated with BMI, HbA1c and insulin. • Four variants FTO, PPARG2, SLC30A8, and TCF7L2 were significantly associated with GDM in North Indian population. The current study sought to investigate the associations of common genetic risk variants with gestational diabetes mellitus (GDM) risk in the north Indian population and to evaluate their utility in identifying GDM cases. A case-control study, including 300 pregnant women, was included, and clinical and pathological information was collected. The amplification-refractory mutation system (ARMS) was used for genotyping four single nucleotide polymorphisms (SNPs), namely FTO (rs9939609), PPARG2 (rs1801282), SLC30A8 (rs13266634), and TCF7L2 (rs12255372). The odds ratio and confidence interval were determined for each SNP in different genetic models. Further, attributable risk, population penetrance, and relative risk were also calculated. The risk allele A of FTO (rs9939609) poses a two times higher risk of GDM (p = 0.02, OR = 2.5). The CG and GG genotypes of PPARG2 (rs1801282) have half a lower risk of GDM. In SLC30A8 (rs13266634), the recessive model analysis showed a two times higher risk of having GDM, while the recessive model (TT vs. GG + GT) analysis in TCF7L2 (rs12255372) indicates a lower risk of GDM. Finally, the relative risk, population penetrance, and attributable risk for risk allele in all four variants was higher in GDM mothers. All four polymorphisms were found to be significantly associated with BMI, HbA1c, and insulin. Our study first time confirmed a significant association with GDM for four variants, FTO, PPARG2, SLC30A8, and TCF7L2, in the North Indian population. [ABSTRACT FROM AUTHOR]
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- 2024
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14. The attenuation of gut microbiota-derived short-chain fatty acids elevates lipid transportation through suppression of the intestinal HDAC3-H3K27ac-PPAR-γ axis in gestational diabetes mellitus.
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Chen, Hao, Wang, Shi-Han, Li, Hong-Li, Zhou, Xiao-Bo, Zhou, Lin-Wei, Chen, Chang, Mansell, Toby, Novakovic, Boris, Saffery, Richard, Baker, Philip N., Han, Ting-Li, and Zhang, Hua
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SHORT-chain fatty acids , *BLOOD circulation , *LIPID metabolism , *INSULIN sensitivity , *FECAL microbiota transplantation , *MICROBIAL metabolites - Abstract
• Gut microbiota dysfunction promotes the GDM process. • The gut microbiota participates in lipids metabolism in intestine. • Intestinal flora derived SCFA involve in lipid transport. • Fecal microbiota transplantation from GDM pregnant women promotes GDM process in mice. Gut flora is considered to modulate lipid transport from the intestine into the bloodstream, and thus may potentially participate in the development of GDM. Although previous studies have shown that the intestinal microbiota influences lipid transport and metabolism in GDM, the precise mechanisms remain elusive. To address this, we used a high-fat diet (HFD)-induced GDM mouse model and conducted 16s rRNA sequencing and fecal metabolomics to assess gut microbial community shifts and associated metabolite changes. Western blot, ELISA, and chromatin immunoprecipitation (ChIP) were utilized to elucidate how gut microbiota affect intestinal lipid transport and the insulin sensitivity of hepatic, adipose, and skeletal muscle tissues. We found that HFD impaired the oral glucose tolerance test (OGTT) and insulin tolerance test (ITT) in pregnant mice. 16s rRNA sequencing demonstrated profound compositional changes, especially in the relative abundances of Firmicutes and Bacteroidetes. Metabolomics analysis presented a decline in the concentration of short-chain fatty acids (SCFAs) in the GDM group. Western blot analyses showed an upregulation of HDAC3 and a concurrent reduction in H3K27 acetylation in the intestine. ChIP-qPCR showed that PPAR-γ was inhibited, which in turn activated lipid-transporter CD36. ELISA and insulin signaling pathway detection in insulin-target organs showed high concentrations of circulating fatty acids and triglycerides and insulin resistance in insulin-target organs. Our results suggest that gut microbiota is closely associated with the development of GDM, partly because decreased gut flora-associated SCFAs activate CD36 by suppressing the HDAC3-H3K27ac-PPAR-γ axis to transport excessive fatty acids and triglycerides into blood circulation, thereby dysregulating the insulin sensitivity of insulin target organs. [ABSTRACT FROM AUTHOR]
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- 2024
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15. Critical review of pretreatment on the performance of gravity driven membranes.
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Zhao, Changrong, Tang, Xiaobin, Zhu, Tingting, Du, Xing, Shah, Kinjal J., Liu, Bin, and Liang, Heng
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WATER purification ,WASTEWATER treatment ,WATER quality ,WATER supply ,COST analysis - Abstract
Ever since the Gravity Driven Membrane (GDM) system was proposed in 2010 as an environmentally friendly and low-carbon water treatment technology, the search for an appropriate pre-treatment measure to combat the low stable flux and membrane fouling has been of great importance for the promotion and development of GDM systems. This review summarized the effects of pre-treatment measures (particulate adsorption, coagulation, oxidation) in existing reports on stable flux, membrane fouling and water quality of GDM systems. Based on the literature reports, the internal mechanism was classified. The effects of different pretreatment conditions on stable flux were evaluated by meta-analysis, and the optimal process conditions to maintain higher stable flux with different pretreatments were predicted. The analysis revealed that appropriate pretreatment selection could improve the performance of the GDM system by removing fouling by the pretreatment itself, reducing bacterial EPS emissions, producing smaller/more hydrophilic pollutant molecules, enhancing bioactivity and generating a looser membrane structure. Moreover, the investment and operating costs of GDM systems can be reduced through suitable pre-treatment measures, thereby expanding their application in decentralized water supply and wastewater treatment. Given the variability and uniqueness of water source conditions, this review aimed to guide the design of pretreatment measures in GDM systems to improve the efficiency of targeted treatment and promote its applicability. [Display omitted] • Collect and re-analyze pretreatment measures with meta-analysis. • Pretreatment location affects GDM system performance. • Pretreatment enables targeted removal of pollutants by GDM systems. • Preprocessing can reduce GDM system cost. [ABSTRACT FROM AUTHOR]
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- 2024
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16. First-trimester maternal serum betatrophin levels are decreased in pregnancies complicated by gestational diabetes mellitus.
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Kirlangic, Mehmet Mete, Eraslan Sahin, Mefkure, Sahin, Erdem, Madendag, Yusuf, Col Madendag, Ilknur, Akdemir, Esra, and Vural Yalman, Merve
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Introduction: The purpose of the present study was to compare maternal serum betatrophin levels during the first trimester from healthy pregnancies to those complicated by gestational diabetes mellitus (GDM).Methods: In this prospective study, 320 pregnant women were evaluated in their first trimester, and 145 pregnant women who met the inclusion criteria were divided into the following two groups according to GDM screening results: GDM (n:20) and non-diabetic healthy control (n: 125). Samples of maternal serum fasting insulin, fasting blood glucose, hemoglobin (HB)A1c, and betatrophin levels obtained from the women's blood samples between 11+0/7 -13+6/7 gestational weeks during first trimester nuchal translucency screening. 75-g oral glucose tolerance test protocol was preferred for GDM scanning between 24+0/7 -28+0/7 gestational weeks.Results: Maternal age and first-trimester body mass index (BMI) were higher in the GDM group than in the control group. Gestational age at blood draw was similar between the groups. First-trimester fasting insulin, fasting glucose, hemoglobin (Hb)A1c, thyroid-stimulating hormone, triiodothyronine (sT3), and thyroxine (sT4) were statistically similar between groups. First trimester Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) was 2.67 ± 1.42 in the GDM group and 2.12 ± 1.61 in the control group and not statistically different. Maternal age and BMI adjusted first-trimester maternal serum betatrophin levels were 11.58 ± 6.40 ng/mL in the GDM group and 31.11 ± 3.00 ng/mL in the control group and was statistically lower in the GDM group (p < 0.001).Discussion: Our results indicated that first trimester maternal serum betatrophin levels are decreased in pregnancies complicated by GDM and first trimester betatrophin levels could be an early screening tool for GDM to allow better pregnancy management. [ABSTRACT FROM AUTHOR]- Published
- 2022
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17. Group decision making based on weighted distance measure of linguistic intuitionistic fuzzy sets and the TOPSIS method.
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Kumar, Kamal and Chen, Shyi-Ming
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GROUP decision making , *TOPSIS method , *FUZZY sets , *FUZZY numbers - Abstract
Linguistic intuitionistic fuzzy numbers (LIFNs) are useful to express the uncertainty of qualitative aspects of information, which have received many attentions in recent years. In this paper, we propose the distance measure of linguistic intuitionistic fuzzy sets (LIFSs), where the membership grade and the non-membership grade of each element in the universe of discourse belonging to a LIFS are represented by LIFNs. We also provide the proofs of the validity and some desirable properties of the proposed distance measure of LIFSs. Moreover, we also propose the weighted distance measure of LIFSs. Based on the proposed weighted distance measure of LIFSs and the "Technique for Order Preference by Similarity to Ideal Solution" (TOPSIS) method, we propose a new group decision making (GDM) approach in the environments of LIFNs. We also use some examples to illustrate the practicability and the feasibility of the proposed GDM approach. The proposed GDM approach can overcome the drawbacks of the existing GDM approaches, where they have the drawbacks that they cannot distinguish the ranking orders of the alternatives in some situations. It provides us a very useful method for dealing with GDM problems in the environments of LIFNs. [ABSTRACT FROM AUTHOR]
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- 2022
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18. Group decision making based on improved linguistic interval-valued Atanassov intuitionistic fuzzy weighted averaging aggregation operator of linguistic interval-valued Atanassov intuitionistic fuzzy numbers.
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Kumar, Kamal and Chen, Shyi-Ming
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GROUP decision making , *AGGREGATION operators , *FUZZY numbers - Abstract
In this paper, we develop an improved linguistic interval-valued Atanassov intuitionistic fuzzy weighted averaging (ILIVAIFWA) aggregation operator (AO) of linguistic interval-valued Atanassov intuitionistic fuzzy numbers (LIVAIFNs). The ILIVAIFWA AO of LIVAIFNs presented in this paper can conquer the drawbacks of the linguistic interval-valued Atanassov intuitionistic fuzzy weighted averaging (LIVAIFWA) AO, the linguistic interval-valued Atanassov intuitionistic fuzzy ordered weighted averaging (LIVAIFOWA) AO, the linguistic interval-valued Atanassov intuitionistic fuzzy weighted geometric (LIVAIFWG) AO and the linguistic interval-valued Atanassov intuitionistic fuzzy ordered weighted geometric (LIVAIFOWG) AO of LIVAIFNs. We also develop a novel group decision making (GDM) method on the basis of the proposed ILIVAIFWA AO of LIVAIFNs. The GDM method presented in this paper can oconquer the drawbacks of the existing GDM methods in the context of LIVAIFNs. [ABSTRACT FROM AUTHOR]
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- 2022
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19. Group decision making based on multiplicative consistency and consensus of Pythagorean fuzzy preference relations.
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Zhang, Zhiming and Chen, Shyi-Ming
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GROUP decision making , *FUZZY sets - Abstract
Pythagorean fuzzy sets (PFSs) become a useful tool to describe the complex cognition of decision makers (DMs). In this paper, Pythagorean fuzzy preference relations (PFPRs) whose elements are PFSs are used for group decision making (GDM). First, a novel multiplicative consistency of PFPRs is proposed. Then, a programming model is constructed to derive the priority weight vector of PFPRs. Then, an inconsistency-repairing method of PFPRs is designed. Moreover, a group consensus index to calculate the degrees of similarity among PFPRs is proposed and an iterative consensus reaching procedure with PFPRs is developed. By maximizing the group consensus level of PFPRs, a model is built to determine DMs' weights. Furthermore, a new GDM method based on PFPRs is proposed. Finally, we offer an example to illustrate the proposed GDM method and complete a comparative analysis. The proposed GDM method outperforms the existing GDM methods for GDM in Pythagorean fuzzy environments. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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20. Group decision making based on advanced intuitionistic fuzzy weighted Heronian mean aggregation operator of intuitionistic fuzzy values.
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Kumar, Kamal and Chen, Shyi-Ming
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GROUP decision making , *AGGREGATION operators - Abstract
In this paper, we propose the advanced intuitionistic fuzzy Heronian mean (AIFHM) aggregation operator (AO) and the advanced intuitionistic fuzzy weighted Heronian mean (AIFWHM) AO of intuitonistic fuzzy values (IFVs). The proposed AIFHM AO and the proposed AIFWHM AO of IFVs have the advantage of condidering interrelationships among aggregating inputs. We also explore some properties of the proposed AIFHM AO and the proposed AIFWHM AO of IFVs. Furthermore, based on the proposed AIFWHM AO of IFVs, we propose a new group decision making (GDM) method. We also provide some examples to illustrate that the proposed GDM method can overcome the drawbacks of the existing GDM methods. The proposed GDM method offers us a very useful approach to deal with GDM problems in intuitionistic fuzzy environments. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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21. Group decision making based on q-rung orthopair fuzzy weighted averaging aggregation operator of q-rung orthopair fuzzy numbers.
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Kumar, Kamal and Chen, Shyi-Ming
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GROUP decision making , *AGGREGATION operators , *FUZZY numbers - Abstract
In this paper, we propose the q -rung orthopair fuzzy weighted averaging (q -ROFWA) aggregation operator (AO) of q -rung orthopair fuzzy numbers (q -ROFNs). The proposed q -ROFWA AO of q -ROFNs can overcome the drawbacks of the q -rung orthopair fuzzy interaction weighted Hamy mean (q -ROFIWHM) AO and the q -rung orthopair fuzzy power weighted Maclaurian symmetric mean (q -ROFPWMSM) AO of q -ROFNs. Moreover, we propose a new group decision making (GDM) method based on the proposed q -ROFWA AO of q -ROFNs. The proposed GDM method can overcome the drawbacks of the existing GDM methods. It provides us a very useful approach to deal with GDM problems in q -rung orthopair fuzzy environments. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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22. Prenatal exposure to polycyclic aromatic hydrocarbons and phthalate acid esters and gestational diabetes mellitus: A prospective cohort study.
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Guo, Minghao, Fang, Yiwei, Peng, Meilin, He, Chao, Chen, Jin, Sun, Borui, Liu, Chunyan, Zhou, Yuanzhong, Zhang, Huiping, and Zhao, Kai
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ENDOCRINE disruptors , *BLOOD sugar , *POLYCYCLIC aromatic hydrocarbons , *TANDEM mass spectrometry , *POISSON regression , *PHTHALATE esters - Abstract
Polycyclic aromatic hydrocarbons and phthalate acid esters (PAHs & PAEs), known as endocrine disrupting chemicals (EDCs), widely exist in daily life and industrial production. Previous studies have suggested that PAHs & PAEs may modify the intrauterine homeostasis and have adverse effects on fetal development. However, epidemiological evidence on the associations between PAHs & PAEs and gestational diabetes mellitus (GDM) is still limited. To investigate the effects of prenatal PAHs &PAEs exposure on the risk of GDM and hyperglycemia in pregnant women. The study population was a total of 725 pregnant women from a prospective birth cohort study conducted from December 2019 to December 2021. Blood glucose levels were collected by the hospital information system. Urinary PAHs & PAEs concentrations were determined by gas chromatography tandem mass spectrometry. The Poisson regression in a generalized linear model (GLM), multiple linear regression, quantile-based g-computation method (qgcomp), and Bayesian kernel machine regression (BKMR) were applied to explore and verify the individual and overall effects of PAHs & PAEs on glucose homeostasis. Potential confounders were adjusted in all statistical models. A total of 179 (24.69%) women were diagnosed with GDM. The Poisson regression suggested that a ln-unit increment of 4-OHPHE (4-hydroxyphenanthrene) (adjusted Risk Ratio (aRR) = 1.13; 1.02–1.26) was associated with the increased GDM risk. Mixed-exposure models showed similar results. We additionally found that MBZP (mono-benzyl phthalate) (aRR = 1.19; 1.02–1.39) was positively related to GDM risk in qgcomp model. Although neither model demonstrated that 2-OHNAP (2-hydroxynaphthalene) and 9-OHFLU (9-hydroxyfluorene) increased the risk of GDM, 2-OHNAP and 9-OHFLU exposure significantly increased blood glucose levels. BKMR model further confirmed that overall effects of PAHs & PAEs were significantly associated with the gestational hyperglycemia and GDM risk. Our study presents that environmental exposure to PAHs & PAEs was positively associated with gestational glucose levels and the risks of developing GDM. In particular, 2-OHNAP, 9-OHFLU, 4-OHPHE and MBZP may serve as important surveillance markers to prevent the development of GDM. • This is the first and largest cohort study to explore the association between PAHs & PAEs and GDM incidence. • Exposure to PAHs & PAEs mixtures was positively associated with higher GDM risk and gestational blood glucose levels. • BKMR and qgcomp were employed to adapt to the complexity of mixed exposures. • 2-OHNAP, 9-OHFLU, 4-OHPHE, and MBZP were major contributors to disturbing gestational glucose homeostasis. [ABSTRACT FROM AUTHOR]
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- 2024
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23. Oligopeptide-strategy of targeting at adipose tissue macrophages using ATS-9R/siCcl2 complex for ameliorating insulin resistance in GDM.
- Author
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Wang, Min, Chen, Xuyang, Shang, Yanshan, Chen, Bingnan, Chen, Hao, Zhou, Linwei, Li, Hongli, Zhang, Dan, Tao, Bailong, Zhou, Xiaobo, and Zhang, Hua
- Subjects
- *
ADIPOSE tissue diseases , *ADIPOSE tissues , *INSULIN resistance , *GESTATIONAL diabetes , *MACROPHAGES , *CLINICAL medicine - Abstract
Gestational diabetes mellitus (GDM) is a pregnancy-specific disease characterized by impaired glucose tolerance during pregnancy. Although diagnosis and clinical management have improved significantly, there are still areas where therapeutic approaches need further improvement. Recent evidence suggests that CCL2, a chemokine involved in immunoregulatory and inflammatory processes, is closely related to GDM. However, the potential value for clinical therapeutic applications and the mechanism of CCL2 in adipose tissue macrophages (ATMs) of GDM remain to be elucidated. Here, we found that CCL2 was enriched in macrophages of the visceral adipose tissue from GDM women and HFD-induced GDM mice. The combination of in vitro and in vivo experiments showed that Ccl2 silencing inhibited the inflammatory response of macrophage by blocking calcium transport between ER and mitochondria and reducing excessive ROS generation. Additionally, the ATS-9R/siCcl2 oligopeptide complex targeting adipose tissue was created. Under the delivery of ATS-9R peptide, Ccl2 siRNA is expressed in ATMs, which reduces inflammation in adipose tissue and, as a result, mitigates insulin resistance. All of these findings point to the possibility that the ATS-9R/siCcl2 complex, which targets adipose tissue, is able to reduce insulin resistance in GDM and the inflammatory response in macrophages. The ATS-9R/siCcl2 oligopeptide complex targeting adipose tissue seems to be a viable treatment for GDM pregnancies. [Display omitted] • ATS-9R delivers Ccl2 siRNA specifically to adipose tissue macrophages. • Ca2+ dependent mitochondrial ROS is reduced in Ccl2 silenced adipose tissue macrophages. • ATS-9R/siCcl2 complexes inhibit inflammatory response of adipose tissue macrophage. • ATS-9R/siCcl2 complexes benefit improving insulin resistance in GDM. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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24. Maternal gut microbiota displays minor changes in overweight and obese women with GDM.
- Author
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Mullins, Thomas P., Tomsett, Kate I., Gallo, Linda A., Callaway, Leonie K., McIntyre, H. David, Dekker Nitert, Marloes, and Barrett, Helen L.
- Abstract
Background and Aims: Previous literature have shown a diversity of findings regarding the relationship between the maternal gut microbiota and gestational diabetes mellitus (GDM). We investigated the gut microbiota of overweight and obese women with gestational diabetes mellitus (GDM) against matched euglycaemic women at 16 and 28-weeks' gestation.Methods and Results: This study included women from the SPRING (Study of PRobiotics IN Gestational diabetes) cohort. Overweight and obese women with no impaired glucose tolerance or impaired fasted glucose were enrolled prior to gestational age <16 weeks. Participants with a diagnosis of GDM (n = 29) were matched with euglycaemic (n = 29) women for body mass index, probiotic or placebo intervention, maternal age, parity and ethnicity. Anthropometric, clinical and fecal microbiota (16S rRNA amplicon-based sequencing of V6-V8 region) data was assessed at 16 and 28-weeks' gestation. The relative abundances of key bacterial genera were not significantly altered between euglycaemic women and women with GDM. Occurrence of bacterial taxa was similar between groups at both timepoints. GDM was associated with decreased Shannon diversity (p = 0.02) without differentiated clustering measured by beta diversity at 28-weeks' gestation.Conclusions: Overweight and obese women with GDM demonstrate minor variation in the gut microbiota at 16 and 28-weeks' gestation compared with matched euglycaemic women. This study expands on previous literature concluding the microbiota does not likely have a disease-specific characterisation in GDM. [ABSTRACT FROM AUTHOR]- Published
- 2021
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25. Group decision making based on multiplicative consistency-and-consensus preference analysis for incomplete q-rung orthopair fuzzy preference relations.
- Author
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Zhang, Zhiming and Chen, Shyi-Ming
- Subjects
- *
GROUP decision making - Abstract
The q -rung orthopair fuzzy preference relations are useful tools to represent hesitant and uncertain judgments of decision makers. In this paper, we propose a new group decision making method based on multiplicative consistency-and-consensus preference analysis for incomplete q -rung orthopair fuzzy preference relations. First, we provide a novel concept of multiplicative consistency for q -rung orthopair fuzzy preference relations. Then, a multiplicative consistency index is offered, by which we derive the concept of acceptable multiplicative consistency for q -rung orthopair fuzzy preference relations. Following this concept, optimization models for ascertaining unknown values in an incomplete q -rung orthopair fuzzy preference relation are built. Furthermore, optimization models for obtaining acceptable multiplicative q -rung orthopair fuzzy preference relation are proposed. Then, an optimization model for group decision making is proposed to attain an enough consensus. Afterward, a group decision making method with incomplete and unacceptable multiplicative consistent q -rung orthopair fuzzy preference relations is proposed. Finally, we use an application example to show the practicality of the proposed group decision making method. The proposed group decision making method outperforms the existing group decision making methods for group decision making in incomplete q -rung orthopair fuzzy environments. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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26. Group decision making based on linguistic interval-valued Atanassov intuitionistic fuzzy Yager weighted arithmetic aggregation operator of linguistic interval-valued Atanassov intuitionistic fuzzy numbers.
- Author
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Kumar, Kamal and Chen, Shyi-Ming
- Subjects
- *
GROUP decision making , *AGGREGATION operators , *FUZZY numbers , *ARITHMETIC , *ADDITION (Mathematics) - Abstract
In this paper, we propose a noval addition operation (AOP) and a novel scalar multiplication operation (SMOP) of linguistic interval-valued Atanassov intuitionistic fuzzy numbers (LIVAIFNs) based on Yager's t -conorm and t -norm. The proposed AOP and the proposed SMOP of LIVAIFNs can conquer the shortcomings of the existing AOP and the existing SMOP of LIVAIFNs. Based on the proposed AOP and the proposed SMOP of LIVAIFNs, we propose the linguistic interval-valued Atanassov intuitionistic fuzzy Yager weighted arithmetic (LIVAIYFWA) aggregation operator (AO) of LIVAIFNs. We also prove some properties of the proposed LIVAIFYWA AO of LIVAIFNs. Moreover, by using the proposed LIVAIFYWA AO of LIVAIFNs, we propose a noval group decision making (GDM) method. The proposed GDM method can conquer the drawbacks of the existing GDM methods in the context of LIVAIFNs. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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27. Investigating mitochondrial dysfunction in gestational diabetes mellitus and elucidating if BMI is a causative mediator.
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McElwain, Colm and McCarthy, Cathal M.
- Subjects
- *
GESTATIONAL diabetes , *MITOCHONDRIAL pathology , *MATERNAL age , *MITOCHONDRIAL DNA , *BODY mass index , *GLUCOSE intolerance , *GESTATIONAL age , *MITOCHONDRIA - Abstract
Objective: Gestational diabetes mellitus (GDM) is defined as any degree of glucose intolerance which is diagnosed during pregnancy and poses considerable health risks for mother and child. Maternal body mass index (BMI) correlates with GDM diagnosis and the pathophysiology of this link may be explained through oxidative stress and mitochondrial dysfunction. In this study we investigate if mitochondrial dysfunction is evident in GDM by measuring cell free mitochondrial DNA concentration and determine if a potential relationship exists between maternal mitochondrial function and GDM diagnosis.Study Design: Plasma samples were taken at 20 weeks' gestation from women who subsequently developed GDM (n = 44) and matched with women with uncomplicated pregnancies (n = 85) as controls. Control group 1 was matched by maternal age and BMI (n = 41) to GDM cases, while control group 2 was matched by maternal age alone (n = 44). Prediction potential was determined by binary regression analysis. Statistical analysis was performed on SPSS Statistics v25.Results: Binary regression analysis showed a statistically significant association between mtDNA concentration and GDM diagnosis (p = 0.032) in GDM cases versus control group 2, indicating that GDM patients have higher circulating mtDNA concentrations relative to healthy control patients. The lack of statistical significance in control group 1 suggests that BMI may be linked to mitochondrial function in GDM patients.Conclusion: These results demonstrate a potential pathogenic role for mitochondrial dysfunction in GDM, with BMI presenting as a likely physiological mediator. [ABSTRACT FROM AUTHOR]- Published
- 2020
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28. Effects of gum chewing on glycaemic control in women with gestational diabetes mellitus: A randomized controlled trial. Impact of chewing on hyperglycaemia in women with GDM.
- Author
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Yerlikaya-Schatten, Gülen, Trimmal, Lisa, Rosicky, Ingo, Husslein, Peter, Schatten, Christian, Eppel, Daniel, Eppel, Wolfgang, Tura, Andrea, and Göbl, Christian S.
- Subjects
- *
GLYCEMIC control , *GESTATIONAL diabetes , *CHEWING gum , *RANDOMIZED controlled trials , *DIABETES in women , *BLOOD sugar analysis , *RESEARCH , *HYPERGLYCEMIA , *RESEARCH methodology , *EVALUATION research , *MEDICAL cooperation , *COMPARATIVE studies , *MASTICATION - Abstract
Background: The amount of chewing might be relevant in reducing hyperglycaemia in diabetic patients. The study assessed the impact of enhanced chewing on glycaemic control in women with gestational diabetes mellitus (GDM).Methods: As an open-label, mono-centre randomized controlled trial, 59 women with recent diagnosis of GDM were included. They received either routine care or additional chewing gum intervention. SMBG was performed for five days.Results: No significant impact on mean values of postprandial glucose levels were observed. The estimated mean differences (intervention vs. control group) were: 4.9 mg/dl, 98.4 %CI -7.2-17.1 (breakfast); -4.5 mg/dl, 98.4 %CI -15.1-6.0 (lunch); -3.8 mg/dl, 98.4 %CI -15.9 to 8.4 (dinner). OGTT levels at 60 and 120 min. were associated with glucose levels after breakfast.Conclusion: In conclusion, no significant differences in blood glucose levels were observed between the groups and therefore major effects of chewing on hyperglycaemia in women with GDM could be excluded.Trial Registration: ClinicalTrials.gov; NCT03961542, Date of registration: 20.01.2019. Retrospectively registered. [ABSTRACT FROM AUTHOR]- Published
- 2020
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29. Sleep quality and gestational diabetes in pregnant women: a systematic review and meta-analysis.
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Zhu, Bingqian, Shi, Changgui, Park, Chang G., and Reutrakul, Sirimon
- Subjects
- *
GESTATIONAL diabetes , *PREGNANT women , *META-analysis , *DIABETES in women , *SLEEP , *GLUCOSE metabolism , *SYSTEMATIC reviews , *POLYSOMNOGRAPHY , *ACTIGRAPHY , *INSOMNIA , *DISEASE complications - Abstract
Poor sleep quality is very common among pregnant women. Gestational diabetes mellitus (GDM) has been related to various adverse maternal and neonatal outcomes. The aim of this systematic review was to examine the association between poor sleep quality and gestational diabetes risk. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, a systematic search was conducted in five electronic databases from inception to February 2019. Studies that examined the relationship between sleep quality and glucose in pregnant women were screened for eligibility. Pooled odds ratio (OR) with 95% confidence interval (CI) was calculated from aggregate data using a fixed-effect model. Thirteen non-experimental studies (n = 21,194 women) were eligible for inclusion. Poor sleep quality was measured using subjective questionnaires in nine studies and objective methods (actigraphy or polysomnography) in four studies. GDM was typically diagnosed following standard guidelines. Eight studies were included in the meta-analysis for GDM. Overall, self-reported poor sleep quality was a significant risk factor for GDM (pooled OR = 1.43, 95%CI: 1.16,1.77, p = 0.001). Three studies examined the association between objective sleep quality and GDM, but no significant relationship was observed. Subjective poor sleep quality was related to an increased risk for GDM, while objectively measured sleep quality was not. This review was limited by the assessment of sleep quality. Future larger studies are warranted to examine the effects of sleep quality on glucose metabolism in pregnancy. Ideally, these studies should measure sleep quality using both validated questionnaires and objective methods. These will provide further directions for improving sleep during pregnancy and exploring its effects on glucose metabolism. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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30. MicroRNA-125b regulates vitamin D resistance by targeting CYP24A1 in the progression of gestational diabetes mellitus.
- Author
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Milan, K.L., Jayasuriya, Ravichandran, Harithpriya, Kannan, Anuradha, M., and Ramkumar, Kunka Mohanram
- Subjects
- *
GESTATIONAL diabetes , *TROPHOBLAST , *VITAMIN D , *VITAMIN D metabolism , *VITAMIN D deficiency , *MICRORNA , *BACTERIAL vaginitis - Abstract
Vitamin D deficiency is prevalent in pregnancy and has been associated with increased occurrences of preeclampsia, cesarean delivery, neonatal bacterial vaginosis, and gestational diabetes. CYP24A1, recognized as a key factor in vitamin D metabolism homeostasis, encodes 24-hydroxylase responsible for converting 25(OH)D3 and 1,25(OH)2D3 into inactive metabolites. Recently, we have reported CYP24A1 overexpression in patients with gestational diabetes mellitus (GDM) and trophoblast cells exposed to hyperglycemia. In this study, we explored miRNA-mediated regulation of CYP24A1 in GDM progression, validating our findings through silencing experiments in a trophoblast cell line. In silico tools identified miR-125b-5p as a putative target of CYP24A1. Expression analysis revealed downregulation of miR-125b-5p in blood samples from early GDM and GDM compared to healthy pregnant women, positively correlating with vitamin D levels. Hyperglycemic exposure in human trophoblastic cell lines (BeWo) decreased miR-125b-5p expression, concomitant with an increase in CYP24A1. To confirm the regulatory role of miR-125b on CYP24A1, we transfected BeWo cells with antimiR-125b or miR-125b mimic. AntimiR-125b transfection heightened CYP24A1 levels, while miR-125b mimic overexpression resulted in decreased CYP24A1 expression. These findings establish miR-125b as a regulator of CYP24A1. To explore the influence of miR-125b on vitamin D metabolism, trophoblast cells overexpressing miR-125b were treated with 0.1 and 1 µM calcitriol. Hyperglycemic conditions exhibited a reduction in CYP24A1 levels. Collectively, our results indicate that miR-125b may regulate vitamin D metabolism by targeting CYP24A1, contributing to GDM progression. These findings may pave the way for understanding vitamin D resistance in concurrent GDM development and identifying novel miRNAs targeting CYP24A1. • Overexpression of CYP24A1 in gestational diabetes mellitus (GDM) patients and hyperglycemia-exposed trophoblast cells. • miR-125b-5p downregulation was observed in blood samples from early GDM and GDM patients compared to healthy pregnant women. • Hyperglycemic exposure in trophoblast cells results in decreased miR-125b-5p expression and increased CYP24A1 expression. • Transfection experiments confirm the regulatory role miR-125b on CYP24A1 expression. • Cells overexpressing miR-125b-5p shows reduction in CYP24A1 levels under hyperglycemic condition. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
31. Optimization-based group decision making using interval-valued intuitionistic fuzzy preference relations.
- Author
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Zhang, Zhiming and Chen, Shyi-Ming
- Subjects
- *
GROUP decision making - Abstract
In this paper, we propose an optimization-based group decision making (GDM) method using interval-valued intuitionistic fuzzy preference relations (IVIFPRs). First, the concept of consistency of intuitionistic fuzzy preference relations (IFPRs) is provided. Moreover, the consistency index for IFPRs is presented. Subsequently, by splitting an IVIFPR into two IFPRs, an additive consistency is proposed for IVIFPRs. Afterward, a consensus index is presented for GDM. When the consistency and the consensus do not achieve the requirement, we propose several models to reach the requirement. Furthermore, individual IVIFPRs are integrated into a collective IVIFPR. After that, a procedure is offered to obtain the interval-valued intuitionistic fuzzy (IVIF) priority weights of the alternatives. Moreover, a new GDM method with IVIFPRs is offered. Finally, some application examples are offered. The proposed GDM method can conquer the shortcomings of the existing GDM methods. It offers us a useful way for GDM in the IVIF context. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
32. Group decision making with incomplete q-rung orthopair fuzzy preference relations.
- Author
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Zhang, Zhiming and Chen, Shyi-Ming
- Subjects
- *
GROUP decision making - Abstract
• We propose an additive consistency definition for q -ROFPRs. • We propose the models for dealing with incomplete and inconsistent q -ROFPRs. • We propose a method to increase the consensus degrees of q -ROFPRs. • We propose a new GDM method in incomplete q -ROFPRs environments. • The proposed GDM method can overcome the drawbacks of the existing GDM methods. In this paper, we propose a novel group decision making (GDM) method in incomplete q -rung orthopair fuzzy preference relations (q -ROFPRs) environments. We propose an additive consistency definition, which is characterized by a q -rung orthopair fuzzy priority vector. The property of the proposed additive consistency definition is offered and a model to obtain missing judgments in incomplete q -ROFPRs is proposed. We present an approach to adjust the inconsistency for q -ROFPRs, propose a model to obtain the priority vector, and propose a method to increase consensus degrees of q -ROFPRs. Finally, we present a GDM method in incomplete q -ROFPRs environments and use two illustrative examples and some comparisons to illustrate that our method outperforms the existing methods for GDM in incomplete q -ROFPRs environments. The proposed GDM method offers us a useful way for GDM in incomplete q -ROFPRs environments. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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- View/download PDF
33. Group decision making based on acceptable multiplicative consistency and consensus of hesitant fuzzy linguistic preference relations.
- Author
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Zhang, Zhiming and Chen, Shyi-Ming
- Subjects
- *
GROUP decision making - Abstract
In this paper, we propose a new group decision making (GDM) method based on the acceptable multiplicative consistency and consensus of hesitant fuzzy linguistic preference relations (HFLPRs). First, an approach for improving the consistency of HFLPRs is proposed to generate an acceptable multiplicative consistent HFLPR. Then, a consensus index of HFLPRs is defined and an optimization model is presented to meet an acceptable consensus requirement under the premise of the acceptable multiplicative consistency and the smallest information loss, where it yields adjusted HFLPRs with an acceptable consistency and consensus. Then, the weights of decision makers (DMs) are calculated based on the obtained adjusted HFLPRs. Moreover, we propose a new GDM method based on HFLPRs. Finally, the proposed GDM method is illustrated by an application example and comparative analyses are conducted to show the performance and the superiority of the proposed GDM method. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
34. Group decision making with incomplete intuitionistic multiplicative preference relations.
- Author
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Zhang, Zhiming, Chen, Shyi-Ming, and Wang, Chao
- Subjects
- *
DECISION making , *GOAL programming - Abstract
Intuitionistic multiplicative preference relations (IMPRs) have been widely applied in decision making for their ability to efficiently express the uncertainty of information. This paper investigates the decision making with incomplete IMPRs. First, a new consistency of incomplete IMPRs is defined. Then, we present some optimization models for estimating missing values by maximizing the consistency level. After that, the group IMPR is derived by using membership degrees in individual intuitionistic multiplicative judgments. Subsequently, a transformation method is offered to build a consistent IMPR through a normalized intuitionistic fuzzy priority weight vector. Moreover, a model is presented to get intuitionistic fuzzy priority weights. Finally, we propose a group decision making (GDM) method with incomplete IMPRs. A practical GDM problem on venue selection for communication drills is offered to indicate the specific application of main theoretical results. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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35. A new analysis for the convergence of the gradient discretization method for multidimensional time fractional diffusion and diffusion-wave equations.
- Author
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Bradji, Abdallah
- Subjects
- *
HEAT equation , *DISCRETIZATION methods , *ELLIPTIC equations , *GALERKIN methods , *DISCONTINUOUS functions - Abstract
We consider as discretization in space, the GDM (Gradient Discretization Method) developed recently in Droniou et al. (2018), to approximate multidimensional time fractional diffusion and diffusion-wave equations where the fractional order α of the time derivative is respectively satisfying 0 < α < 1 and 1 < α < 2. The time fractional derivative is given in the Caputo sense. The time discretization is performed using a uniform mesh. For the time fractional diffusion equation, we derive an implicit scheme. In addition to an L ∞ (L 2) -a priori estimate, which can be derived from a reasoning in Bradji (2018), we present and prove a new L 2 (H 0 1) -a priori estimate for the discrete problem. Under the assumption that the exact solution is sufficiently smooth, these a priori estimates allow to prove error estimates in discrete norms of L 2 (H 0 1) and L ∞ (L 2). The convergence order in these estimates is optimal in the sense of two points of view. The first one is that the order in space is the same one proved in Droniou et al. (2018) for elliptic equation, whereas the second point of view is that the particular case of this order when α = 1 is the same one obtained in Droniou et al. (2018) for the standard heat equation. For the time fractional diffusion-wave equation, we derive two implicit schemes. A full convergence analysis is carried out for both schemes. In particular, we develop new a priori estimates which yield error estimates in several discrete norms for each scheme. The convergence is proved to be unconditional and optimal. The convergence results are obtained thanks to a comparison with appropriately chosen auxiliary gradient schemes and to the stated a priori estimates. These results improve the ones of Bradji (2017) in which a conditional convergence is proved for a SUSHI (Scheme using Stabilization and Hybrid Interfaces) approximating a time-fractional diffusion-wave equation. For both cases of time fractional diffusion and diffusion-wave equations, we show the well-posedness in the sense that the discrete solutions depend continuously on the data of the considered problems. The stated results can be extended to multi-term time-fractional diffusion and diffusion-wave equations. One of the main features when using GDM is that their results hold for all the schemes within the framework of GDM: conforming and nonconforming finite element, mixed finite element, hybrid mixed mimetic family, some Multi-Point Flux approximation finite volume schemes, and some discontinuous Galerkin schemes. Some examples of schemes recovered by the GSs (Gradient Schemes) presented in this work are sketched. Among these examples, we quote the one presented in Jin et al. (2015) to approximate time fractional diffusion equations. This work extends and improves some results presented in brief or stated without proof in the notes Bradji (2018). We present some numerical tests using SUSHI introduced in Eymard et al. (2010) to support the theoretical results. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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- View/download PDF
36. Correlation of viral load of Hepatitis B with the gestation period and the development of diabetes mellitus.
- Author
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Wu, Dongya
- Abstract
To elaborate how the viral load of HBV affects the gestational diabetes mellitus (GDM). We enrolled 196 chronic HBV-infected pregnant patients in this hospital between January 2012 and December 2017 for delivery in this study. According to the viral load of HBV-DNA, these patients were divided into the HBV-DNA negative group (n = 107, <1 × 10
3 copies/mL) and HBV-DNA positive group (n = 89, ≥1 × 103 copies/mL). Simultaneously, 100 HBV-free pregnant women who were admitted to the hospital for delivery were included in the control group. Before delivery, fasting venous blood was drawn from the pregnant women to perform the HBV-DNA quantification through qRT-PCR; from the 24th to 28th gestation week, all pregnant women underwent OGTT, with the third-trimester-of-pregnancy as the endpoint. Besides, we also measured the FBG, 2hPG and hemoglobin A1c (HbAIc). Among 168 pregnant patients carrying chronic HBV, viral load of 107 patients was less than 1 × 103 copies/mL (54.6%), and 89 not less than 1 × 103 copies/mL (45.4%). The incidence rates of GDM in the HBV-DNA negative group and HBV-DNA positive group were 18.7% and 19.1%, respectively, significantly higher than that in the control group (p < 0.05), while the difference of the incidence rates of GDM between two HBV-DNA groups were not significant (p > 0.05). In HBV-DNA negative group and HBV-DNA positive group, FBGs, 2hPGs and HbAIcs were respectively (6.96 ± 0.36) mmol/L and (7.04 ± 0.37) mmol/L, (10.26 ± 1.29) mmol/L and (10.16 ± 1.12) mmol/L, and (8.66 ± 0.97) % and (8.91 ± 0.90) %, significantly higher than (4.57 ± 0.34) mmol/L, (6.16 ± 0.86) mmol/L and (5.13 ± 0.57) % (p < 0.05); however, between two HBV-DNA groups, comparisons of the FBG, 2hPG and HbAIc suggested no significant differences (p > 0.05). In 196 patients carrying chronic HBV, positive correlations were identified between the viral load of HBV-DNA, and FBG, 2hPG and HbAIc (p < 0.01). HBV infection can increase the incidence rate of GDM, and the viral load of HBV-DNA is correlated with the glucose level of pregnant patients. [ABSTRACT FROM AUTHOR]- Published
- 2019
- Full Text
- View/download PDF
37. Structure-based investigation on the association between perfluoroalkyl acids exposure and both gestational diabetes mellitus and glucose homeostasis in pregnant women.
- Author
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Liu, Xin, Zhang, Lei, Chen, Liangkai, Li, Jingguang, Wang, Yuxin, Wang, Jun, Meng, Guimin, Chi, Min, Zhao, Yunfeng, Chen, Hongbing, and Wu, Yongning
- Subjects
- *
GESTATIONAL diabetes , *PREGNANT women , *GLUCOSE , *HOMEOSTASIS , *ODDS ratio , *REGRESSION analysis - Abstract
Biomonitoring studies have shown the presence of structurally diverse perfluoroalkyl acids (PFAAs) in humans but only a few studies are available regarding the differential structural effects of PFAAs on human health. The specific association between different structural PFAAs and both gestational diabetes mellitus (GDM) and glucose homeostasis in pregnant women was investigated. A prospective nested case-control study including 439 women was conducted during 2013–2015 in Beijing, China. First trimester maternal serum was collected and analyzed for 25 diverse PFAAs with varying carbon chain lengths, linear/branched isomers and carboxylate or sulfonate functional groups. The analyzed PFAAs were grouped into different exposure variables depending on structure characteristics. GDM cases were diagnosed at 24–28 weeks of gestation and individually matched in a 1:2 ratio to controls. Conditional logistic and linear regression was used to evaluate the association between structurally grouped PFAAs and both GDM risk and glucose homeostasis parameters. Among the 25 PFAAs, 12 perfluoroalkyl carboxylates (PFCAs) and 8 perfluoroalkyl sulfonates (PFSAs) were detected in >55.0% of samples and were respectively grouped into different structural groups. The structural-based effect was observed for PFCAs, where short-chain (C4-C7) PFCAs continuous level was significantly associated with GDM with an estimated odds ratio (OR) of 1.99 (95% CI: 1.29, 3.09), and the multivariable-adjusted ORs (95% CI) of GDM for increasing tertiles of short-chain PFCAs were 1.00 (ref.), 1.82 (0.80, 4.16) and 3.01 (1.31, 6.94), P trend = 0.011. Additionally, increased concentration of short-chain PFCAs was significantly associated with higher postprandial glucose levels (P < 0.05). Non-significant association was observed between structure grouped PFSAs and GDM as well as glucose homeostasis. This investigation suggests a structure-specific association between short-chain PFCAs exposure and both GDM risk and impaired glucose homeostasis in pregnant women. These findings warrant further investigation with larger samples and a wide range of short-chain PFCAs exposure. • A prospective nested case-control study was conducted. • In total of 25 PFAAs were measured and grouped into different exposure variables. • The specific association between different structural PFAAs and GDM was investigated. • Positive association was found between short-chain PFCAs (C4-C7) and GDM. • Short-chain PFCAs exposure was associated with impaired glucose homeostasis. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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- View/download PDF
38. Crosstalk between inflammasomes, inflammation, and Nrf2: Implications for gestational diabetes mellitus pathogenesis and therapeutics.
- Author
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Gayatri, Vijaya, Krishna Prasad, Murali, Mohandas, Sundhar, Nagarajan, Sanjushree, Kumaran, Kriya, and Ramkumar, Kunka Mohanram
- Subjects
- *
GESTATIONAL diabetes , *NUCLEAR factor E2 related factor , *INTERLEUKIN-1 , *INFLAMMASOMES , *INTERLEUKIN-1 receptors - Abstract
The role of inflammasomes in gestational diabetes mellitus (GDM) has emerged as a critical area of research in recent years. Inflammasomes, key components of the innate immune system, are now recognized for their involvement in the pathogenesis of GDM. Activation of inflammasomes in response to various triggers during pregnancy can produce pro-inflammatory cytokines, such as interleukin-1β (IL-1β) and interleukin-18 (IL-18), contributing to systemic inflammation and insulin resistance. This dysregulation not only impacts maternal health but also poses significant risks to fetal development and long-term health outcomes. Understanding the intricate interplay between inflammasomes and GDM holds promise for developing novel therapeutic strategies and interventions to mitigate the adverse effects of this condition on both mothers and their offspring. Researchers have elucidated that targeting inflammasomes using anti-inflammatory drugs and compounds can effectively reduce inflammation in GDM. Furthermore, the addition of nuclear factor erythroid 2-related factor 2 (Nrf2) to this complex mechanism opens novel avenues for therapeutics. The antioxidant properties of Nrf2 may potentially suppress inflammasome activation in GDM. This comprehensive review investigates the intricate relationship between inflammasomes and GDM, emphasizing the pivotal role of inflammation in its pathogenesis. It also sheds light on potential therapeutic strategies targeting inflammasome activation and explores the role of Nrf2 in mitigating inflammation in GDM. • Excessive inflammasome activation plays a pivotal role in the pathogenesis of GDM and its associated complications. • NLRP3-mediated chronic, low-grade inflammation exacerbates both insulin resistance and endothelial dysfunction in GDM. • Dysregulation of the interplay between Nrf2 and the inflammasome pathway is evident in the context of GDM. • Exploring the therapeutic potential of compounds that target inflammasomes and the Nrf2-NLRP3 axis holds promise for the effective management of GDM. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
39. STZ-induced gestational diabetes exposure alters PTEN/AKT/mTOR-mediated autophagy signaling pathway leading to increase the risk of neonatal hypoxic-ischemic encephalopathy.
- Author
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Gong, Lei, Jiang, Siyi, Tian, Jia, Li, Yong, Yu, Wansu, Zhang, Lubo, and Xiao, Daliao
- Subjects
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GESTATIONAL diabetes , *CEREBRAL anoxia-ischemia , *AUTOPHAGY , *CELLULAR signal transduction , *HYPOXIA-inducible factor 1 , *SIZE of brain , *BLOOD sugar , *NEWBORN infants - Abstract
Exposure to gestational diabetes mellitus (GDM) during pregnancy has significant consequences for the unborn baby and newborn infant. However, whether and how GDM exposure induces the development of neonatal brain hypoxia/ischemia-sensitive phenotype and the underlying molecular mechanisms remain unclear. In this study, we used a late GDM rat model induced by administration of streptozotocin (STZ) on gestational day 12 and investigated its effects of GDM on neonatal brain development. The pregnant rats exhibited increased blood glucose levels in a dose-dependent manner after STZ administration. STZ-induced maternal hyperglycemia led to reduced blood glucose levels in neonatal offspring, resulting in growth restriction and an increased brain to body weight ratio. Importantly, GDM exposure increased susceptibility to hypoxia/ischemia (HI)-induced brain infarct sizes compared to the controls in both male and female neonatal offspring. Further molecular analysis revealed alterations in the PTEN/AKT/mTOR/autophagy signaling pathway in neonatal male offspring brains, along with increased ROS production and autophagy-related proteins (Atg5 and LC3-II). Treatment with the PTEN inhibitor bisperoxovanadate (BPV) eliminated the differences in HI-induced brain infarct sizes between the GDM-exposed and the control groups. These findings provide novel evidence of the development of a brain hypoxia/ischemia-sensitive phenotype in response to GDM exposure and highlight the role of the PTEN/AKT/mTOR/autophagy signaling pathway in this process. • STZ-induced maternal hyperglycemia (GDM) decreases neonatal offspring blood glucose levels. • Prenatal exposure to GDM produces a growth restriction and asymmetrical brain development. • GDM exposure causes alterations in the PTEN/AKT/mTOR/autophagy signaling pathway in neonatal offspring. • Prenatal GDM exposure programs a hypoxia/ischemia (HI)-sensitive phenotype of neonatal brain. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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- View/download PDF
40. Eurya stigmosa (Theaceae), a new and extinct record for the Calabrian stage of Madeira Island (Portugal): 40Ar/39Ar dating, palaeoecological and oceanic island palaeobiogeographical implications.
- Author
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Góis-Marques, Carlos A., Mitchell, Ria L., de Nascimento, Lea, Fernández-Palacios, José María, Madeira, José, and Menezes de Sequeira, Miguel
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FOSSIL plants - Abstract
Abstract The general dynamic model of oceanic island biogeography (GDM) predicts the immigration, speciation and extinction of terrestrial biota through geological time on oceanic islands. Additionally, the glacial-sensitive model of island biogeography (GSM) also predicts extinction due to eustatic and climate change within islands. However, well-documented and natural pre-Holocene plant extinctions are almost unknown for oceanic islands worldwide. To test these predictions, we have sampled the Early Pleistocene Porto da Cruz lacustrine and fluvial sediments for plant fossils that could confirm the GDM and GSM extinction predictions. Additionally, two new 40Ar/39Ar geochronological analyses were performed, constraining the age of the sediments to 1.3 Ma (Calabrian). Among the fossils, Eurya stigmosa (R.Ludw.) Mai (Theaceae) seeds were recognised and studied by scanning electron microscopy (SEM). E. stigmosa is the first report of a natural (non-anthropogenic) extinct plant in the fossil record for Madeira Island, and for an oceanic island, confirming the GDM and GSM predictions. Eurya spp. palaeobiogeography indicates wider distribution in Europe until the end of the Pliocene (2.58 Ma), becoming extirpated to small refugia and extinct thereafter. The Madeiran record expands the formerly unknown presence of E. stigmosa to the Macaronesian realm. The new dating of the deposit at 1.3 Ma (Calabrian) means that E. stigmosa in Madeira was already in a refugium. The extinction in Madeira is most probably a combination of island ontogeny and climate change due to Pleistocene glaciations. The palaeoecological role of this extinct shrub or tree is currently unknown, but it was a probably an element of the Madeiran laurel forest, as this community was already present in Madeira at least 1.8 My ago. This new information corroborates the predictive power of GDM and GSM and adds a new view on the importance of studying oceanic island palaeobotany, specially palaeocarpofloras. Highlights • Eurya stigmosa (Theaceae) seed fossils are described for Madeira Island (Portugal). • Two new 40Ar/39Ar dates constrain the age of fossils to 1.3 Ma (Calabrian). • Madeira Island acted as a Quaternary refugium for the extirpated European Eurya. • Madeiran Eurya fossils represent a pre-Holocene extinction in an oceanic Island. • Fossils support current oceanic island biogeography models for natural extinctions. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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41. Polycystic ovary syndrome and hyperglycaemia in pregnancy. A narrative review and results from a prospective Danish cohort study.
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Palm, Camilla Viola Buskbjerg, Glintborg, Dorte, Kyhl, Henriette Boye, McIntyre, H. David, Jensen, Richard Christian, Jensen, Tina Kold, Jensen, Dorte Møller, and Andersen, Marianne
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GLUCOSE tolerance tests , *POLYCYSTIC ovary syndrome , *GESTATIONAL diabetes - Abstract
Background: Insulin resistance is common in polycystic ovary syndrome (PCOS). PCOS may be associated with increased risk of gestational diabetes mellitus (GDM).Objectives: To (1) review literature regarding PCOS and hyperglycaemia in pregnancy and (2) present original data from Odense Child Cohort (OCC) regarding GDM in PCOS.Methods: Literature search including original studies from 2000-18. OCC included 2548 pregnant women, 9.5% (n = 241) had PCOS. Fasting plasma glucose was measured in 1519 and 659 oral glucose tolerance tests were performed (with risk factor for GDM, n = 384, without risk factors, n = 275), applying two different GDM criteria.Results: 30 studies were eligible using 12 different sets of diagnostic criteria for GDM. Ten studies included n > 50, control group, assessment of GDM and BMI. Results were not uniform, but supported that higher BMI, higher age, Asian ethnicity, and fertility treatment increased the risk of GDM in PCOS. In OCC, women with PCOS and controls had similar prevalences of GDM independent of different sets of criteria for GDM.Conclusion: PCOS may not be an individual risk factor for GDM. Pregnancies in PCOS are characterized by factors known to increase risk of GDM, especially high BMI and fertility treatment. [ABSTRACT FROM AUTHOR]- Published
- 2018
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42. In utero exposure to gestational diabetes mellitus and long term endocrine morbidity of the offspring.
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Abokaf, Hanaa, Shoham-Vardi, Ilana, Sergienko, Ruslan, Landau, Daniella, and Sheiner, Eyal
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DIABETES complications , *GESTATIONAL diabetes , *DISEASES , *HOSPITAL care , *OBESITY , *RETROSPECTIVE studies , *PRENATAL exposure delayed effects - Abstract
Background: Gestational diabetes mellitus (GDM) is a worldwide public health problem. Few studies investigated the association of intra uterine exposure to GDM and long-term endocrine morbidity of offspring.Objective: To assess whether in utero exposure to GDM increases the risk for long-term endocrine morbidity of the offspring.Methods: A retrospective cohort study was conducted including all singleton born to women who delivered between 1988 and 2014. All births occurred in a tertiary medical center. Data were collected from the computerized perinatal database of the obstetrics and gynecology department and the computerized hospitalization database. The exposure variables were: diet-controlled GDM (GDMA1) and treated GDM (GDMA2). Multivariate generalized estimating equation (GEE) logistic regression model analysis was used to control for confounders and for maternal clusters.Results: During the study period 231,271 deliveries met the inclusion criteria, of which 12,642 deliveries (5.4%) were diagnosed with GDM. During the follow-up period, children exposed in utero to GDM had a higher rate of long- term hospitalizations with diagnoses of endocrine morbidity (such as diabetes mellitus and obesity) compared to those unexposed. Using a GEE model, controlling for confounders such as maternal age, follow up-time, obesity and birthweight, in-utero exposure to GDMA1 (adjusted OR = 2.1; 95% CI 1.7-2.7; P < 0.001) and especially to GDMA2 (adjusted OR = 3.1; 95% CI 2.2-4.4, P < 0.001) were found as risk factors for long-term endocrine disease during childhood.Conclusion: Exposure to GDM is a risk factor for long-term endocrine morbidity in the offspring. [ABSTRACT FROM AUTHOR]- Published
- 2018
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43. Gestational diabetes mellitus modulates cholesterol homeostasis in human fetoplacental endothelium.
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Sun, Yidan, Kopp, Susanne, Strutz, Jasmin, Gali, Chaitanya Chakravarthi, Zandl-Lang, Martina, Fanaee-Danesh, Elham, Kirsch, Andrijana, Cvitic, Silvija, Frank, Saša, Saffery, Richard, Björkhem, Ingemar, Desoye, Gernot, Wadsack, Christian, and Panzenboeck, Ute
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GESTATIONAL diabetes , *PLACENTAL function tests , *REACTIVE oxygen species , *OXIDATIVE stress , *ENDOTHELIAL cells - Abstract
Gestational diabetes mellitus (GDM) is associated with excessive oxidative stress which may affect placental vascular function. Cholesterol homeostasis is crucial for maintaining fetoplacental endothelial function. We aimed to investigate whether and how GDM affects cholesterol metabolism in human fetoplacental endothelial cells (HPEC). HPEC were isolated from fetal term placental arterial vessels of GDM or control subjects. Cellular reactive oxygen species (ROS) were detected by H 2 DCFDA fluorescent dye. Oxysterols were quantified by gas chromatography–mass spectrometry analysis. Genes and proteins involved in cholesterol homeostasis were detected by real-time PCR and immunoblotting, respectively. Cholesterol efflux was determined from [ 3 H]-cholesterol labeled HPEC and [ 14 C]-acetate was used as cholesterol precursor to measure cholesterol biosynthesis and esterification. We detected enhanced formation of ROS and of specific, ROS-derived oxysterols in HPEC isolated from GDM versus control pregnancies. ROS-generated oxysterols were simultaneously elevated in cord blood of GDM neonates. Liver-X receptor activation in control HPEC by synthetic agonist TO901319, 7-ketocholesterol, or 7β-hydroxycholesterol upregulated ATP-binding cassette transporters (ABC)A1 and ABCG1 expression, accompanied by increased cellular cholesterol efflux. Upregulation of ABCA1 and ABCG1 and increased cholesterol release to apoA-I and HDL 3 (78 ± 17%, 40 ± 9%, respectively) were also observed in GDM versus control HPEC. The LXR antagonist GGPP reversed ABCA1 and ABCG1 upregulation and reduced the increased cholesterol efflux in GDM HPEC. Similar total cellular cholesterol levels were detected in control and GDM HPEC, while GDM enhanced cholesterol biosynthesis along with upregulated 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) and sterol O-acyltransferase 1 (SOAT1) mRNA and protein levels. Our results suggest that in GDM cellular cholesterol homeostasis in the fetoplacental endothelium is modulated via LXR activation and helps to maintain its proper functionality. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
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44. Pharmacological treatment of gestational diabetes mellitus: point/counterpoint.
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Langer, Oded
- Subjects
GESTATIONAL diabetes ,PHARMACOLOGY ,INSULIN ,METFORMIN ,THERAPEUTICS - Abstract
Controversies persist over the most efficacious pharmacologic treatment for gestational diabetes mellitus. For purposes of accuracy in this article, the individual American College of Obstetricians and Gynecologists Practice Bulletin and American Diabetes Association Standards of Medical Care positions on each issue are quoted and then deliberated with evidence of counter claims presented in point/counterpoint. This is a review of all the relevant evidence for the most holistic picture possible. The main issues are (1) which diabetic drugs cross the placenta, (2) the quality of evidence and data source validity, (3) the rationale for the designation of glucose control as the primary outcome in gestational diabetes mellitus, and (4) which drugs (metformin, glyburide, or insulin) are most effective in improving secondary outcomes. The concept that 1 drug fits all, whether it be insulin, glyburide, or metformin, is a fallacy. Different drugs provide certain benefits but not all the benefits and not to all patients. In addition, the steps in the gestational diabetes mellitus management decision path and the current cost of the use of insulin, glyburide, or metformin are addressed. In the future, we must consider studying the potential of diabetic drugs that currently are used in nonpregnancy and incorporating the concept of precision medicine in the decision tree to maximize pregnancy outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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45. Fetal Sex, Need for Insulin, and Perinatal Outcomes in Gestational Diabetes Mellitus: An Observational Cohort Study.
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Giannubilo, Stefano Raffaele, Pasculli, Angela, Ballatori, Chiara, Biagini, Alessandra, and Ciavattini, Andrea
- Abstract
Purpose This was a prospective observational cohort study that aimed to determine whether fetal sex influences the maternal and fetal outcomes of gestational diabetes mellitus (GDM). Methods In this study, 327 European primiparous women were consecutively recruited after diagnosis of GDM. AUC on the oral glucose tolerance test (OGTT), need for insulin therapy, maternal and obstetrical outcomes, and fetal fat mass (by measuring the thickness of the anterior abdominal subcutaneous tissue) were recorded and compared between the two subgroups of female and male fetuses. Findings Despite the absence of differences in multiple comparisons of the OGTT, the AUC–OGTT was significantly higher in women carrying a male fetus (22.6 [3.2] mmol/L vs 19.7 [2.8] mmol/L). The abdominal fat thickness appeared to increase with gestational age, with higher growth in male fetuses than in female fetuses. The overall risk of need for insulin therapy was significantly higher in women carrying a male fetus (odds ratio = 1.837). At delivery, birthweight was higher in males than in females only if adjusted for gestational age, similarly for placental weight, otherwise there were no significant differences between the groups in total length of gestation, rates of cesarean delivery, and Apgar scores. Implications Overall, our data propose an association between fetal sex and GDM outcomes, suggesting the hypothesis that in maternal–fetal interactions, the fetus can affect maternal glucose metabolism. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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46. Linking composition of extracellular polymeric substances (EPS) to the physical structure and hydraulic resistance of membrane biofilms.
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Desmond, Peter, Best, James P., Morgenroth, Eberhard, and Derlon, Nicolas
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BIOFILMS spectra , *POLYMERIC membranes , *ULTRAFILTRATION , *OPTICAL coherence tomography , *RAMAN spectroscopy , *FILTERS & filtration , *POLYSACCHARIDE synthesis - Abstract
The effect of extracellular polymeric substances (EPS) on the meso-scale physical structure and hydraulic resistance of membrane biofilms during gravity driven membrane (GDM) filtration was investigated. Biofilms were developed on the surface of ultrafiltration membranes during dead-end filtration at ultra-low pressure (70 mbar). Biofilm EPS composition (total protein, polysaccharide and eDNA) was manipulated by growing biofilms under contrasting nutrient conditions. Nutrient conditions consisted of (i) a nutrient enriched condition with a nutrient ratio of 100:30:10 (C: N: P), (ii) a phosphorus limitation (C: N: P ratio: 100:30:0), and (iii) a nitrogen limitation (C: N: P ratio: 100:0:10). The structure of the biofilm was characterised at meso-scale using Optical Coherence Tomography (OCT). Biofilm composition was analysed with respect to total organic carbon, total cellular mass and extracellular concentrations of proteins, polysaccharides, and eDNA. 2D-confocal Raman mapping was used to characterise the functional group composition and micro-scale distribution of the biofilms EPS. Our study reveals that the composition of the EPS matrix can determine the meso-scale physical structure of membrane biofilms and in turn its hydraulic resistance. Biofilms grown under P limiting conditions were characterised by dense and homogeneous physical structures with high concentrations of polysaccharides and eDNA. Biofilm grown under nutrient enriched or N limiting conditions were characterised by heterogeneous physical structures with lower concentrations of polysaccharides and eDNA. For P limiting biofilms, 2D-confocal Raman microscopy revealed a homogeneous spatial distribution of anionic functional groups in homogeneous biofilm structures with higher polysaccharide and eDNA concentrations. This study links EPS composition, physical structure and hydraulic resistance of membrane biofilms, with practical relevance for the hydraulic performances of GDM ultrafiltration. [ABSTRACT FROM AUTHOR]
- Published
- 2018
- Full Text
- View/download PDF
47. Group decision making based on multiplicative consistency and consensus of fuzzy linguistic preference relations.
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Zhang, Zhiming, Chen, Shyi-Ming, and Wang, Chao
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FUZZY logic , *GROUP decision making , *INTEGER programming , *ALGORITHMS , *COMPUTER simulation - Abstract
Fuzzy linguistic preference relations (FLPRs) are an efficient way to express qualitative judgments of decision makers (DMs). This paper proposes a new group decision making (GDM) method based on the multiplicative consistency and consensus of FLPRs. First, we propose the concepts of consistency index and acceptable multiplicative consistent FLPRs. Then, we propose a method to improve the consistency of a FLPR, by which an acceptable multiplicative consistent FLPR is derived. Subsequently, we propose the consensus index for measuring the agreement among DMs. With respect to some FLPRs have an unacceptable multiplicative consistency and an unacceptable consensus, we propose an integer programming model to make both their consistency and consensus better to yield improved FLPRs with acceptable multiplicative consistency and consensus. Furthermore, the DMs' comprehensive weight vector is determined. Then, we propose a new GDM algorithm following the multiplicative consistency and consensus of FLPRs. Finally, the feasibility and the applicability of the proposed GDM method are illustrated via an application example and some comparative analyses with the existing GDM methods. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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48. Group decision making with multiplicative interval linguistic hesitant fuzzy preference relations.
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Tang, Jie, Chen, Shyi-Ming, and Meng, Fanyong
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GROUP decision making , *FUZZY logic , *LINGUISTICS , *PUBLIC-private sector cooperation , *PROBLEM solving - Abstract
This paper proposes multiplicative interval linguistic hesitant fuzzy sets (MILHFSs) to denote the asymmetrically qualitative judgments with uncertain and hesitant characteristics, which are expressed by several interval linguistic judgments defined on the asymmetrical linguistic term set. Considering the utilization of MILHFSs, the concept of multiplicative interval linguistic hesitant fuzzy variables (MILHFVs) is introduced, and multiplicative interval linguistic hesitant fuzzy preference relations (MILHFPRs) are proposed. Then, we analyze the consistency and introduce an approach for computing the priority vector from consistent MILHFPRs. Meanwhile, incomplete MILHFPRs are discussed, and a model for obtaining unknown MILHFVs following the analysis of consistency is built. Considering group decision making (GDM), the analysis of consensus is made. Subsequently, an approach for GDM with inconsistent and incomplete MILHFPRs is provided that follows the analysis of consistency and consensus. The feasibility of the developed results is demonstrated by two practical GDM problems: (1) assessing seven-seat sport utility vehicles (SUVs) and (2) selecting the public-private partnership (PPP) model. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
49. Heterogeneous group decision making in the setting of incomplete preference relations.
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Tang, Jie, Chen, Shyi-Ming, and Meng, Fanyong
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HETEROGENEOUS computing , *GROUP decision making , *COMBINATORIAL optimization , *CONSENSUS (Social sciences) , *FUZZY decision making - Abstract
Abstract This paper focuses on heterogeneous group decision making (GDM) in the setting of incomplete preference relations, including incomplete fuzzy preference relations, incomplete multiplicative preference relations, incomplete additive linguistic preference relations, and incomplete multiplicative linguistic preference relations. Following the consistency-consensus optimization analysis, a new GDM method is proposed which can address inconsistent and incomplete preference relations. Firstly, we consider how to determine unknown information and how to obtain consistent preference relations. In contrast to the existing methods which rank the alternatives from fuzzy preference relations using the additive or multiplicative consistency analysis, this paper follows the consistency level to decide to use the additive or multiplicative consistency. Following the consensus analysis for each type of consistent preference relations, we calculate their comprehensively consistent preference relations and the priority vectors. After that, we build a consistency-based model for calculating the comprehensive priority vector. Furthermore, we offer an ordered position consensus-based method using the built optimization models. The proposed heterogeneous GDM method with incomplete preference relations provides us with a very useful way for dealing with GDM problems in heterogeneous environments. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
50. Serum levels of polychlorinated biphenyls and polybrominated diphenyl ethers in early pregnancy and their associations with gestational diabetes mellitus.
- Author
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Ma, Jinqi, Li, Ying, Qian, Li, Geng, Shijie, Yao, Xiaodie, Gao, Xian, Yan, Yan, and Wen, Juan
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POLYCHLORINATED biphenyls , *GESTATIONAL diabetes , *POLYBROMINATED diphenyl ethers , *POLYBROMINATED biphenyls , *BLOOD sugar , *PREGNANCY , *GLUCOSE metabolism - Abstract
Polychlorinated Biphenyls (PCBs) and Polybrominated Diphenyl Ethers (PBDEs) are extensively present in humans and may disturb glucose metabolism during pregnancy. However, previous reports on the associations between PCBs/PBDEs levels and gestational diabetes mellitus (GDM) have been inconsistent. We performed a nested case-control study to measure the serum levels of 6 PCB and 7 PBDE congeners in early pregnancy, and to assess their associations with GDM risk and blood glucose levels. Totally, 208 serum samples (104 GDM cases and 104 controls) were included based on a prospective cohort which was carried out in Jiangsu province, China, from 2020 to 2022. The results showed that PCB-153 was the major PCB congener, whereas PBDE-47 was the predominant PBDE congener. The continuous concentrations of PCB-153, PBDE-28, and total PCB were significantly related to an increased risk of GDM, with adjusted ORs (95%CI) of 1.25 (1.04–1.50), 1.19 (1.02–1.39), and 1.37 (1.05–1.79), respectively. Potential dose-response relationships were also observed between serum levels of PCB-153 (P = 0.011), PBDE-28 (P = 0.028), total PCB (P = 0.048), and total PCB/PBDE (P = 0.010) and GDM risk. Moreover, PCB-153, PBDE-28 and total PCB levels were positively related to 1-h OGTT blood glucose (adjusted β PCB-153 : 0.14, 95%CI: 0.00–0.28; adjusted β PBDE-28 : 0.20, 95%CI: 0.08–0.32; adjusted β total PCB : 0.30, 95%CI: 0.09–0.50), whereas none of the PCBs/PBDEs were statistically related to fasting blood glucose and 2-h OGTT blood glucose (all P > 0.05). Further meta-analysis also supported the association of PCBs exposure with GDM risk. Our study provides further evidence that PCBs/PBDEs exposure may increase GDM risk during pregnancy. [Display omitted] • Serum levels of PCBs/PBDEs in early pregnancy in Jiangsu, China were investigated. • PCB-153 was the major PCBs, whereas PBDE-47 was the predominant PBDEs. • Levels of PCB-153, PBDE-28 and total PCB were positively related to GDM risk. • PCB-153, PBDE-28 and total PCB were associated with 1-h OGTT blood glucose. • Meta-Analysis also supported the association of PCBs exposure with GDM risk. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
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