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gestational diabetes and metabolomics

Yamilé López-Hernández, Ana Sofía Herrera-Van Oostdam, Juan Carlos Toro-Ortiz, Jesús Adrián López, Mariana Salgado-Bustamante, Michael Murgu, Lourdes Mariela Torres-Torres
Gestational diabetes mellitus (GDM) is a disorder in pregnancy with highest impact in the future life of both mother and newborn. Increasing incidence, economic impact, and potential for severe GDM-related pregnancy complications are some factors that have motivated the deep study of physiopathology, risk factors for developing GDM, and potential biomarkers for its diagnosis. In the present pilot study, we analyzed the urinary metabolome profile of GDM patients in the 3rd trimester of pregnancy, when GDM is already established and the patients are under dietary and pharmacological control...
March 8, 2019: International Journal of Molecular Sciences
Xiaoyan Liu, Xiangqing Wang, Haidan Sun, Zhengguang Guo, Xiang Liu, Tao Yuan, Yong Fu, Xiaoyue Tang, Jing Li, Wei Sun, Weigang Zhao
Pregnancy is associated with the onset of many adaptation processes that are likely to change over the course of gestation. Understanding normal metabolites' variation with pregnancy progression is crucial for gaining insights of the key nutrients for normal fetal growth, and for comparative research of pregnancy-related complications. This work presents liquid chromatography-mass spectrum-based urine metabolomics study of 50 health pregnant women at three time points during pregnancy. The influence of maternal physiological factors, including age, BMI, parity and gravity to urine metabolome was explored...
February 22, 2019: Scientific Reports
Junichi Sugawara, Daisuke Ochi, Riu Yamashita, Takafumi Yamauchi, Daisuke Saigusa, Maiko Wagata, Taku Obara, Mami Ishikuro, Yoshiki Tsunemoto, Yuki Harada, Tomoko Shibata, Takahiro Mimori, Junko Kawashima, Fumiki Katsuoka, Takako Igarashi-Takai, Soichi Ogishima, Hirohito Metoki, Hiroaki Hashizume, Nobuo Fuse, Naoko Minegishi, Seizo Koshiba, Osamu Tanabe, Shinichi Kuriyama, Kengo Kinoshita, Shigeo Kure, Nobuo Yaegashi, Masayuki Yamamoto, Satoshi Hiyama, Masao Nagasaki
PURPOSE: A prospective cohort study for pregnant women, the Maternity Log study, was designed to construct a time-course high-resolution reference catalogue of bioinformatic data in pregnancy and explore the associations between genomic and environmental factors and the onset of pregnancy complications, such as hypertensive disorders of pregnancy, gestational diabetes mellitus and preterm labour, using continuous lifestyle monitoring combined with multiomics data on the genome, transcriptome, proteome, metabolome and microbiome...
February 19, 2019: BMJ Open
Engy Shokry, Linda Marchioro, Olaf Uhl, Mercedes G Bermúdez, Jose Antonio García-Santos, Mª Teresa Segura, Cristina Campoy, Berthold Koletzko
AIMS: Maternal obesity and gestational diabetes mellitus (GDM) were frequently reported to be risk factors for obesity and diabetes in offspring. Our goal was to study the impact of maternal prepregnancy BMI (pBMI) and GDM on both maternal and cord blood metabolic profiles. METHODS: We used LC-MS/MS to measure 201 metabolites comprising phospholipids (PL), amino acids, non-esterified fatty acids (NEFA), organic acids, acyl carnitines (AC), and Krebs cycle metabolites in maternal plasma at delivery and cord plasma obtained from 325 PREOBE study participants...
February 6, 2019: Acta Diabetologica
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
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