Literature DB >> 25534924

Maternal-fetal interactions, predictive markers for preeclampsia, and programming.

Berthold Huppertz1.   

Abstract

During pregnancy close interactions between the maternal system and the fetal system via the placenta exist that result in a powerful crosstalk between both individuals. Looking for predictive biomarkers in maternal blood is extremely difficult because of this crosstalk as such markers may be derived from only maternal sources, only placental sources or both. In particular, the concentrations of markers derived from both sources may vary because of the huge variety of reasons and sources. During the last decade this has misled a number of scientists and clinicians who tried to decipher the sources of markers and the impact of the placenta and/or the maternal vascular system. A few examples for predictive biomarkers are presented, the placenta-specific marker placental protein 13 (PP13) and the angiogenic marker PlGF being released from both mother and placenta. Finally, a further reason why biomarkers may not be successful in predicting all cases of preeclampsia is that different causative routes lead to the development of preeclampsia. The differences in the development of preeclampsia not only explain why markers may or may not have a predictive value, but also why some mothers and/or children may display long-term effects later in life.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Biomarker; Prediction; Preeclampsia; Pregnancy; Programming

Mesh:

Substances:

Year:  2014        PMID: 25534924     DOI: 10.1016/j.jri.2014.11.003

Source DB:  PubMed          Journal:  J Reprod Immunol        ISSN: 0165-0378            Impact factor:   4.054


  10 in total

1.  Increased circulating levels of Epidermal Growth Factor-like Domain 7 in pregnant women affected by preeclampsia.

Authors:  Micol Massimiani; Lauretta A Lacko; Clare S Burke Swanson; Silvia Salvi; Lissenya B Argueta; Sascia Moresi; Sergio Ferrazzani; Shari E Gelber; Rebecca N Baergen; Nicola Toschi; Luisa Campagnolo; Heidi Stuhlmann
Journal:  Transl Res       Date:  2018-12-25       Impact factor: 7.012

2.  VEGF-A regulates sFlt-1 production in trophoblasts through both Flt-1 and KDR receptors.

Authors:  Zhonglin Xiao; Songjun Li; Yan Yu; Mengxia Li; Jie Chen; Feng Wang; Jian Zhang; Weifen Deng; Qing Yang; Xiujun Fan
Journal:  Mol Cell Biochem       Date:  2018-03-01       Impact factor: 3.396

3.  Stanniocalcin-1 Hormone in Nonpreeclamptic and Preeclamptic Pregnancy: Clinical, Life-Style, and Genetic Modulators.

Authors:  Peeter Juhanson; Kristiina Rull; Triin Kikas; Hannele Laivuori; Pille Vaas; Eero Kajantie; Seppo Heinonen; Maris Laan
Journal:  J Clin Endocrinol Metab       Date:  2016-09-07       Impact factor: 5.958

4.  Impact of vitamin D and vitamin D receptor on the trophoblast survival capacity in preeclampsia.

Authors:  Martina Hutabarat; Noroyono Wibowo; Barbara Obermayer-Pietsch; Berthold Huppertz
Journal:  PLoS One       Date:  2018-11-08       Impact factor: 3.240

5.  Is maternal serum inhibin A a good predictor in preterm labor? - Experience from a community hospital in Taiwan.

Authors:  Shih-Yin Huang; You-Chen Wang; Wan-Chen Yin; Li-Fen Teng; Yu-Ching Huang; Yu-Lin Wu; Tsia-Shu Lo
Journal:  Biomed J       Date:  2020-05-06       Impact factor: 4.910

6.  Comparison of maternal serum NRG-4 levels in healthy and preeclamptic pregnancies

Authors:  Kadriye Yakut; Filiz Halıcı Öztürk; Doğa Fatma Öcal; Betül Yakıştıran; Fatma Didem Yücel Yetişkin; Turhan Çağlar
Journal:  J Turk Ger Gynecol Assoc       Date:  2022-03-08

7.  Arterial endothelial cytokines guide extravillous trophoblast invasion towards spiral arteries; an in-vitro study with the trophoblast cell line ACH-3P and female non-uterine endothelial cells.

Authors:  Gregor Weiss; Berthold Huppertz; Monika Siwetz; Ingrid Lang; Gerit Moser
Journal:  Placenta       Date:  2015-12-19       Impact factor: 3.481

8.  Extensive shift in placental transcriptome profile in preeclampsia and placental origin of adverse pregnancy outcomes.

Authors:  Siim Sõber; Mario Reiman; Triin Kikas; Kristiina Rull; Rain Inno; Pille Vaas; Pille Teesalu; Jesus M Lopez Marti; Pirkko Mattila; Maris Laan
Journal:  Sci Rep       Date:  2015-08-13       Impact factor: 4.379

9.  The trophoblast survival capacity in preeclampsia.

Authors:  Martina Hutabarat; Noroyono Wibowo; Berthold Huppertz
Journal:  PLoS One       Date:  2017-11-06       Impact factor: 3.240

10.  The Inhibition of Protein Kinase C β Contributes to the Pathogenesis of Preeclampsia by Activating Autophagy.

Authors:  Huanqiang Zhao; Lili Gong; Suwen Wu; Tianrui Jing; Xirong Xiao; Yutong Cui; Huangfang Xu; Huiqing Lu; Yao Tang; Jin Zhang; Qiongjie Zhou; Duan Ma; Xiaotian Li
Journal:  EBioMedicine       Date:  2020-06-13       Impact factor: 8.143

  10 in total

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