Literature DB >> 24397701

Metabonomic profiling of human placentas reveals different metabolic patterns among subtypes of neural tube defects.

Yi Chi1, Lijun Pei, Gong Chen, Xinming Song, Aihua Zhao, Tianlu Chen, Mingming Su, Yinan Zhang, Jianmeng Liu, Aiguo Ren, Xiaoying Zheng, Guoxiang Xie, Wei Jia.   

Abstract

Neural tube defects (NTDs) are one of the most common types of birth defects with a complex etiology. We have previously profiled serum metabolites of pregnant women in Lvliang prefecture, Shanxi Province of China, which revealed distinct metabolic changes in pregnant women with NTDs outcome. Here we present a metabonomics study of human placentas of 144 pregnant women with normal pregnancy outcome and 115 pregnant women affected with NTDs recruited from four rural counties (Pingding, Xiyang, Taigu, and Zezhou) of Shanxi Province, the area with the highest prevalence worldwide. A panel of 19 metabolites related to one-carbon metabolism was also quantitatively determined. We observed obvious differences in global metabolic profiles and one-carbon metabolism among three subtypes of NTDs, anencephaly (Ane), spina bifida (SB), and Ane complicated with SB (Ane & SB) via mass-spectrometry-based metabonomics approach. Disturbed carbohydrate, amino acid, lipid, and nucleic acid metabolism were identified. Placental transport of amino acids might be depressed in Ane and Ane & SB group. Deficiency of choline contributes to Ane and Ane & SB pathogenesis via different metabolic pathways. The formation of NTDs seemed to be weakly related to folates. The metabonomic analysis reveals that the physiological and biochemical processes of the three subtypes of NTDs might be different and the subtype condition should be considered for the future investigation of NTDs.

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Year:  2014        PMID: 24397701     DOI: 10.1021/pr4009805

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  8 in total

1.  Levels of folate receptor autoantibodies in maternal and cord blood and risk of neural tube defects in a Chinese population.

Authors:  Na Yang; Linlin Wang; Richard H Finnell; Zhiwen Li; Lei Jin; Le Zhang; Robert M Cabrera; Rongwei Ye; Aiguo Ren
Journal:  Birth Defects Res A Clin Mol Teratol       Date:  2016-05-11

2.  Metabonomics reveals metabolite changes in biliary atresia infants.

Authors:  Kejun Zhou; Guoxiang Xie; Jun Wang; Aihua Zhao; Jiajian Liu; Mingming Su; Yan Ni; Ying Zhou; Weihua Pan; Yanran Che; Ting Zhang; Yongtao Xiao; Yang Wang; Jie Wen; Wei Jia; Wei Cai
Journal:  J Proteome Res       Date:  2015-04-27       Impact factor: 4.466

Review 3.  [Application of metabolomics in neonatal clinical practice].

Authors:  Qiu-Tong Liu; Xiao-Yun Zhong
Journal:  Zhongguo Dang Dai Er Ke Za Zhi       Date:  2019-09

Review 4.  Neural tube defects: from a proteomic standpoint.

Authors:  Tania M Puvirajesinghe; Jean-Paul Borg
Journal:  Metabolites       Date:  2015-03-17

5.  Global Metabolomics of the Placenta Reveals Distinct Metabolic Profiles between Maternal and Fetal Placental Tissues Following Delivery in Non-Labored Women.

Authors:  Jacquelyn M Walejko; Anushka Chelliah; Maureen Keller-Wood; Anthony Gregg; Arthur S Edison
Journal:  Metabolites       Date:  2018-01-23

6.  Placental Metabolomics for Assessment of Sex-specific Differences in Fetal Development During Normal Gestation.

Authors:  Michelle Saoi; Katherine M Kennedy; Wajiha Gohir; Deborah M Sloboda; Philip Britz-McKibbin
Journal:  Sci Rep       Date:  2020-06-10       Impact factor: 4.379

7.  Metabolomic Profiling of Plasma Samples from Women with Recurrent Spontaneous Abortion.

Authors:  XiaoCui Li; MingHong Yin; JinPing Gu; YanYan Hou; FuJu Tian; Feng Sun
Journal:  Med Sci Monit       Date:  2018-06-13

8.  Identification of novel candidate risk genes for myelomeningocele within the glucose homeostasis/oxidative stress and folate/one-carbon metabolism networks.

Authors:  Paul Hillman; Craig Baker; Luke Hebert; Michael Brown; James Hixson; Allison Ashley-Koch; Alanna C Morrison; Hope Northrup; Kit Sing Au
Journal:  Mol Genet Genomic Med       Date:  2020-09-22       Impact factor: 2.183

  8 in total

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