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gestational diabetes and metabolomics

Hongzhi Zhao, Han Li, Arthur Chi Kong Chung, Li Xiang, Xiaona Li, Yuanyuan Zheng, Hemi Luan, Lin Zhu, Wenyu Liu, Yang Peng, Yaxing Zhao, Shunqing Xu, Yuanyuan Li, Zongwei Cai
Despite the increasing research attention paid to gestational diabetes mellitus (GDM) due to its high prevalence, limited knowledge is available about its pathogenesis. In this study, 428 serum samples were collected from 107 pregnant women suffering GDM and 107 matched healthy controls. The non-targeted metabolomics data of maternal serum samples from the first (T1, n = 214) and second trimesters (T2, n = 214) were acquired by using ultra-high performance liquid chromatography coupled with Orbitrap mass spectrometry (MS)...
November 29, 2018: Journal of Proteome Research
Yan Wu, Jie Zhang, Siyuan Peng, Xiaofei Wang, Lianzhong Luo, Liangpo Liu, Qingyu Huang, Meiping Tian, Xueqin Zhang, Heqing Shen
BACKGROUND: Gestational diabetes mellitus (GDM) is a typical fetus development niches dysfunction and many toxic/nutrient elements have been associated with its onset and progression. However, the classic epidemiologic approach is regarded as "black-box epidemiology" and fails to elucidate these elements' biological roles on the damaged fetus developmental microenvironment. OBJECTIVE: We aimed to characterize the associations between meconium of multiple elements with GDM for illustrating their interruption effects on in-uterus microenvironment...
October 29, 2018: Environment International
Jacob E Friedman
Childhood obesity and its comorbidities continue to accelerate across the globe. Two-thirds of pregnant women are obese/overweight, as are 20% of preschoolers. Gestational diabetes mellitus (GDM) is escalating, affecting up to 1 in 5 pregnant women. The field of developmental origins of health and disease has begun to move beyond associations to potential causal mechanisms for developmental programming. Evidence across species compellingly demonstrates that maternal obesity, diabetes, and Western-style diets create a long-lasting signature on multiple systems, including infant stem cells, the early immune system, and gut microbiota...
November 2018: Diabetes
Deirdre K Tobias
PURPOSE OF THE REVIEW: Women with a history of gestational diabetes mellitus (GDM) have an alarmingly high risk of developing type 2 diabetes (T2D); yet, mechanisms underlying this progression are largely unknown. RECENT FINDINGS: Clinical characteristics of a GDM pregnancy and postpartum metabolomics may contribute to risk prediction of T2D to identify those women at highest risk of progression and need for intervention. Evidence for effective postpartum lifestyle interventions from observational studies include adherence to a healthy dietary pattern, increasing physical activity, and maintaining a healthy body weight...
August 16, 2018: Current Diabetes Reports
Ulrika Andersson-Hall, Carolina Gustavsson, Anders Pedersen, Daniel Malmodin, Louise Joelsson, Agneta Holmäng
Aim: Determine the metabolic profile and identify risk factors of women transitioning from gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM). Methods: 237 women diagnosed with GDM underwent an oral glucose tolerance test (OGTT), anthropometrics assessment, and completed lifestyle questionnaires six years after pregnancy. Blood was analysed for clinical variables (e.g., insulin, glucose, HbA1c, adiponectin, leptin, and lipid levels) and NMR metabolomics...
2018: Journal of Diabetes Research
Kenichi Sakurai, Akifumi Eguchi, Masahiro Watanabe, Midori Yamamoto, Ko Ishikawa, Chisato Mori
AIMS/INTRODUCTION: We aimed to explore novel predictive markers for gestational diabetes mellitus using metabolomic analysis in pregnant Japanese women. MATERIALS AND METHODS: We carried out a case-control study with a cohort of participants enrolled during the first or early second trimester in the Center of Chiba Unit of the Japan Environment and Children's Study. Participants were classified as either gestational diabetes mellitus cases or matched controls based on age, body mass index and parity...
June 29, 2018: Journal of Diabetes Investigation
Flavien Delhaes, Stephanie A Giza, Tianna Koreman, Genevieve Eastabrook, Charles A McKenzie, Samantha Bedell, Timothy R H Regnault, Barbra de Vrijer
Abnormal maternal lipid profiles, a hallmark of increased maternal adiposity, are associated with pregnancy complications such as preeclampsia and gestational diabetes, and offspring long-term metabolic health is impacted as the consequence of altered fetal growth, physiology and often iatrogenic prematurity. The metabolic changes associated with maternal obesity and/or the consumption of a high-fat diet effecting maternal lipid profiles and metabolism have also been documented to specifically affect placental function and may underlie changes in fetal development and life course disease risk...
September 2018: Placenta
Qian Chen, Ellen Francis, Gang Hu, Liwei Chen
BACKGROUND: Gestational diabetes mellitus (GDM) reflects an increased risk of developing type 2 diabetes (T2D) after pregnancy in women. Offspring born to mothers with GDM are at an elevated risk of obesity and T2D at a young age. Currently, there are lack of ways for identifying women in early pregnancy who are at risk of developing GDM. As a result, both mothers and fetus are not treated until late in the second trimester when GDM is diagnosed. The recent advance in metabolomics, a new approach of systematic investigation of the metabolites, provides an opportunity for early detection of GDM, and classifying the risk of subsequent chronic diseases among women and their offspring...
May 2018: Journal of Diabetes and its Complications
Yong-Ping Lu, Christoph Reichetzeder, Cornelia Prehn, Karoline von Websky, Torsten Slowinski, You-Peng Chen, Liang-Hong Yin, Burkhard Kleuser, Xue-Song Yang, Jerzy Adamski, Berthold Hocher
BACKGROUND/AIMS: Gestational diabetes (GDM) might be associated with alterations in the metabolomic profile of affected mothers and their offspring. Until now, there is a paucity of studies that investigated both, the maternal and the fetal serum metabolome in the setting of GDM. Mounting evidence suggests that the fetus is not just passively affected by gestational disease but might play an active role in it. Metabolomic studies performed in maternal blood and fetal cord blood could help to better discern distinct fetal from maternal disease interactions...
2018: Cellular Physiology and Biochemistry
B Gelaye, C B Clish, M Denis, G Larrabure, M G Tadesse, A Deik, K Pierce, K Bullock, C Dennis, D A Enquobahrie, M A Williams
AIM: The oral glucose tolerance test (OGTT), widely used as a gold standard for gestational diabetes mellitus (GDM) diagnosis, provides a broad view of glucose pathophysiology in response to a glucose challenge. We conducted the present study to evaluate metabolite changes before and after an oral glucose challenge in pregnancy; and to examine the extent to which metabolites may serve to predict GDM diagnosis in pregnant women. METHODS: Peruvian pregnant women (n=100) attending prenatal clinics (mean gestation 25 weeks) participated in the study with 23% of them having GDM diagnosis...
January 11, 2018: Diabetes & Metabolism
Thibaut D J Delplancke, Jamie V de Seymour, Chao Tong, Karolina Sulek, Yinyin Xia, Hua Zhang, Ting-Li Han, Philip N Baker
The hair metabolome has been recognized as a valuable source of information in pregnancy research, as it provides stable metabolite information that could assist with studying biomarkers or metabolic mechanisms of pregnancy and its complications. We tested the hypothesis that hair segments could be used to reflect a metabolite profile containing information from both endogenous and exogenous compounds accumulated during the nine months of pregnancy. Segments of hair samples corresponding to the trimesters were collected from 175 pregnant women in New Zealand...
January 8, 2018: Scientific Reports
Wolin Hou, Xiyan Meng, Aihua Zhao, Weijing Zhao, Jiemin Pan, Junling Tang, Yajuan Huang, Huaping Li, Wei Jia, Fang Liu, Weiping Jia
Although metabolomics are desirable to understand the pathophysiology of gestational diabetes mellitus (GDM), comprehensive metabolomic studies of GDM are rare. We aimed to offer a holistic view of metabolites alteration in GDM patients and investigate the possible multimarker models for GDM diagnosis. Biochemical parameters and perinatal data of 131 GDM cases and 138 controls were collected. Fasting serum samples at 75 g oral glucose tolerance test were used for metabolites by ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry, ultra performance liquid chromatography-triple triple-quadrupole-mass spectrometry and gas chromatography- time-of- flight mass spectrometry platforms...
March 2018: Molecular & Cellular Proteomics: MCP
Xun Mao, Xuyang Chen, Chang Chen, Hua Zhang, Kai P Law
Gestational diabetes mellitus (GDM) is a form of diabetes that is first diagnosed during pregnancy in the absence of existing type 1 or type 2 diabetes. Early screening tools for GDM are currently unavailable, but metabolomics is a promising approach for detecting biomarkers of GDM. This review evaluates recent GDM studies employing metabolomic techniques, highlighting the challenges in those studies and envisions the future directions for metabolomic study of GDM. A diverse range of predictive markers and dysregulated metabolic pathways have been associated with the pathogenesis of GDM, but these findings have lacked reproducibility among studies...
December 2017: Clinica Chimica Acta; International Journal of Clinical Chemistry
Ting-Li Han, Yang Yang, Hua Zhang, Kai P Law
Background: A challenge of metabolomics is data processing the enormous amount of information generated by sophisticated analytical techniques. The raw data of an untargeted metabolomic experiment are composited with unwanted biological and technical variations that confound the biological variations of interest. The art of data normalisation to offset these variations and/or eliminate experimental or biological biases has made significant progress recently. However, published comparative studies are often biased or have omissions...
2017: F1000Research
Shuying Zheng, Jing Zhong, Yingrong Chen, Zhihong Ma, Hui He, Wei Qiu, Wenhua Wang, Chengjiang Li, Huazong Zeng
BACKGROUND: To delineate the metabolomic profiling and identify early diagnostic biomarkers in maternal plasma from the pregnant women who subsequently developed gestational diabetes mellitus (GDM) using liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (LC-Q-TOF MS). METHODS: Plasma samples were collected from GDM pregnant women (n = 30) and healthy controls (n = 30) at the 20th gestational week in Huzhou Central Hospital and Huzhou Maternal and Child Health Hospital...
July 1, 2017: Clinical Laboratory
Sara L White, Dharmintra Pasupathy, Naveed Sattar, Scott M Nelson, Debbie A Lawlor, Annette L Briley, Paul T Seed, Paul Welsh, Lucilla Poston
AIMS/HYPOTHESIS: Antenatal obesity and associated gestational diabetes (GDM) are increasing worldwide. While pre-existing insulin resistance is implicated in GDM in obese women, the responsible metabolic pathways remain poorly described. Our aim was to compare metabolic profiles in blood of obese pregnant women with and without GDM 10 weeks prior to and at the time of diagnosis by OGTT. METHODS: We investigated 646 women, of whom 198 developed GDM, in this prospective cohort study, a secondary analysis of UK Pregnancies Better Eating and Activity Trial (UPBEAT), a multicentre randomised controlled trial of a complex lifestyle intervention in obese pregnant women...
October 2017: Diabetologia
Carolyn F McCabe, Wei Perng
PURPOSE OF REVIEW: The purpose of this review is to describe ways in which metabolomics may enhance understanding of gestational diabetes mellitus (GDM) etiology and refine current diagnostic criteria. RECENT FINDINGS: Current clinical recommendations suggest screening for GDM between 24 and 28 of gestational weeks using an oral glucose tolerance test. Despite this consensus, there are discrepancies regarding the exact criteria for GDM diagnosis. Further, emerging evidence has unveiled heterogeneous physiological pathways underlying GDM-specifically, GDM with defective insulin secretion vs...
August 2017: Current Diabetes Reports
Elin Chorell, Ulrika Andersson Hall, Carolina Gustavsson, Kerstin Berntorp, Jatta Puhkala, Riitta Luoto, Tommy Olsson, Agneta Holmäng
CONTEXT: Gestational diabetes is commonly linked to development of type 2 diabetes mellitus (T2DM). There is a need to characterize metabolic changes associated with gestational diabetes in order to find novel biomarkers for T2DM. OBJECTIVE: To find potential pathophysiological mechanisms and markers for progression from gestational diabetes mellitus to T2DM by studying the metabolic transition from pregnancy to postpartum. DESIGN: The metabolic transition profile from pregnancy to postpartum was characterized in 56 women by mass spectrometry-based metabolomics; 11 women had gestational diabetes mellitus, 24 had normal glucose tolerance, and 21 were normoglycaemic but at increased risk for gestational diabetes mellitus...
July 2017: Metabolism: Clinical and Experimental
Yong Zhang, Xiaobei Dai, Shuai Yang, Chen Zhang, Mi Han, He-Feng Huang, Jianxia Fan
Although thyroid dysfunction in early pregnancy may have adverse effects on pregnancy outcomes, few studies have examined the relationship between maternal low free thyroxin (FT4) levels in both first and third trimesters of pregnancy and the incidence of adverse pregnancy outcomes. We hypothesized that low FT4 levels in either first or third trimesters of pregnancy may have different effects on pregnancy outcomes. The study included 6,031 mothers who provided both first and third pregnancy serum samples for analyses of thyroid function...
2017: PloS One
Najmeh Rahimi, Farideh Razi, Ensieh Nasli-Esfahani, Mostafa Qorbani, Nooshin Shirzad, Bagher Larijani
BACKGROUND: The prevalence of gestational diabetes mellitus (GDM) is increasing globally which is associated with various side effects for mothers and fetus. It seems that metabolomic profiling of the amino acids may be useful in early diagnosis of metabolic diseases. This study aimed to explore the association of the amino acids profiles with GDM. METHODS: Eighty three pregnant women with gestational age ≥25 weeks were randomly selected among pregnant women referred to prenatal care clinic in Arash hospital of Tehran, Iran...
2017: Journal of Diabetes and Metabolic Disorders
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