Literature DB >> 24404900

Clinical proteomics in obstetrics and neonatology.

Julie Klein1, Benedicte Buffin-Meyer, William Mullen, David M Carty, Christian Delles, Antonia Vlahou, Harald Mischak, Stéphane Decramer, Jean-Loup Bascands, Joost P Schanstra.   

Abstract

Clinical proteomics has been applied to the identification of biomarkers of obstetric and neonatal disease. We will discuss a number of encouraging studies that have led to potentially valid biomarkers in the context of Down's syndrome, preterm birth, amniotic infections, preeclampsia, intrauterine growth restriction and obstructive uropathies. Obtaining noninvasive biomarkers (e.g., from the maternal circulation, urine or cervicovaginal fluid) may be more feasible for obstetric diseases than for diseases of the fetus, for which invasive methods are required (e.g., amniotic fluid, fetal urine). However, studies providing validated proteomics-identified biomarkers are limited. Efforts should be made to save well-characterized samples of these invasive body fluids so that many valid biomarkers of pregnancy-related diseases will be identified in the coming years using proteomics based analysis upon adoption of 'clinical proteomics guidelines'.

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Year:  2014        PMID: 24404900     DOI: 10.1586/14789450.2014.872564

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  18 in total

1.  The maternal plasma proteome changes as a function of gestational age in normal pregnancy: a longitudinal study.

Authors:  Roberto Romero; Offer Erez; Eli Maymon; Piya Chaemsaithong; Zhonghui Xu; Percy Pacora; Tinnakorn Chaiworapongsa; Bogdan Done; Sonia S Hassan; Adi L Tarca
Journal:  Am J Obstet Gynecol       Date:  2017-03-03       Impact factor: 8.661

Review 2.  Urinary biomarkers for renal tract malformations.

Authors:  Pedro Magalhães; Joost P Schanstra; Emma Carrick; Harald Mischak; Petra Zürbig
Journal:  Expert Rev Proteomics       Date:  2016-11-15       Impact factor: 3.940

Review 3.  The nephrologist of tomorrow: towards a kidney-omic future.

Authors:  Mina H Hanna; Alessandra Dalla Gassa; Gert Mayer; Gianluigi Zaza; Patrick D Brophy; Loreto Gesualdo; Francesco Pesce
Journal:  Pediatr Nephrol       Date:  2016-03-09       Impact factor: 3.714

Review 4.  Urinary proteomics using capillary electrophoresis coupled to mass spectrometry for diagnosis and prognosis in kidney diseases.

Authors:  Pedro Magalhães; Harald Mischak; Petra Zürbig
Journal:  Curr Opin Nephrol Hypertens       Date:  2016-11       Impact factor: 2.894

Review 5.  Utility of proteomics in obstetric disorders: a review.

Authors:  Jónathan Hernández-Núñez; Magel Valdés-Yong
Journal:  Int J Womens Health       Date:  2015-04-13

Review 6.  Predicting Preterm Labour: Current Status and Future Prospects.

Authors:  Harry M Georgiou; Megan K W Di Quinzio; Michael Permezel; Shaun P Brennecke
Journal:  Dis Markers       Date:  2015-06-15       Impact factor: 3.434

7.  Validation of serum biomarkers derived from proteomic analysis for the early screening of preeclampsia.

Authors:  Aggeliki Kolialexi; Dimitrios Gourgiotis; George Daskalakis; Antonis Marmarinos; Alexandra Lykoudi; Danai Mavreli; Ariadni Mavrou; Nikolas Papantoniou
Journal:  Dis Markers       Date:  2015-01-05       Impact factor: 3.434

8.  Comprehensive maternal serum proteomics identifies the cytoskeletal proteins as non-invasive biomarkers in prenatal diagnosis of congenital heart defects.

Authors:  Lizhu Chen; Hui Gu; Jun Li; Ze-Yu Yang; Xiao Sun; Li Zhang; Liping Shan; Lina Wu; Xiaowei Wei; Yili Zhao; Wei Ma; Henan Zhang; Songying Cao; Tianchu Huang; Jianing Miao; Zhengwei Yuan
Journal:  Sci Rep       Date:  2016-01-11       Impact factor: 4.379

Review 9.  Biomarker development for presymptomatic molecular diagnosis of preeclampsia: feasible, useful or even unnecessary?

Authors:  Sinuhe Hahn; Olav Lapaire; Nandor Gabor Than
Journal:  Expert Rev Mol Diagn       Date:  2015-03-16       Impact factor: 5.225

10.  Proteomic Analysis of Early Mid-Trimester Amniotic Fluid Does Not Predict Spontaneous Preterm Delivery.

Authors:  Maria Hallingström; Juraj Lenco; Marie Vajrychova; Marek Link; Vojtech Tambor; Victor Liman; Maria Bullarbo; Staffan Nilsson; Panagiotis Tsiartas; Teresa Cobo; Marian Kacerovsky; Bo Jacobsson
Journal:  PLoS One       Date:  2016-05-23       Impact factor: 3.240

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