Literature DB >> 16847874

Proteomic analysis of amniotic fluid in pregnancies with Down syndrome.

George Th Tsangaris1, Panagiotis Karamessinis, Aggeliki Kolialexi, Spiros D Garbis, Aris Antsaklis, Ariadni Mavrou, Michael Fountoulakis.   

Abstract

Proteomic analysis is widely used for the detection of diagnostic markers. In the present study amniotic fluid supernatants (AFS) from pregnancies with Down syndrome (DS) fetuses and from chromosomally normal fetuses in the 17th week of gestation were analyzed by 2-DE. Gel comparison revealed significant differences in the two groups. Spots with different expression levels were excised and proteins were identified by MALDI-MS and nano-ESI-MS/MS. Splicing factor arginine/serine-rich 4 (SFRS4; Q08170) was present only in AFS from DS fetuses and completely absent in the control group. Quantitative differences were detected for alpha-1-microglobulin (AMBP; P02760), collagen alpha 1 (I) chain (CO1A1; P02452), collagen alpha 1 (III) chain (CO3A1; P02461), collagen alpha 1 (V) chain d (CO5A1; P20908), and basement membrane-specific heparin sulfate proteoglycan core protein (PGBM; P98160). These proteins were increased in cases with DS, whereas protein IBP-1 (P08833) was decreased by 40% compared with chromosomally normal fetuses. Four proteins, CO1A1, CO3A1, CO5A1, and PGBM, appeared as fragments. As differentially expressed proteins were present in all pregnancies with DS tested, they may represent useful potential markers for prenatal diagnosis. However, for protein biomarkers to be of any clinical utility, systematic analysis of the maternal serum should be conducted.

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Year:  2006        PMID: 16847874     DOI: 10.1002/pmic.200600085

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  34 in total

1.  Proteomic analysis for the study of amniotic fluid protein composition.

Authors:  Marzia Perluigi; Fabio Di Domenico; Chiara Cini; Raffaella Coccia; Francesca Romana Giorlandino; Maurizio Giorlandino; Pietro Cignini; Alvaro Mesoraca; Claudio Giorlandino
Journal:  J Prenat Med       Date:  2009-07

2.  Metabolomics in premature labor: a novel approach to identify patients at risk for preterm delivery.

Authors:  Roberto Romero; Shali Mazaki-Tovi; Edi Vaisbuch; Juan Pedro Kusanovic; Tinnakorn Chaiworapongsa; Ricardo Gomez; Jyh Kae Nien; Bo Hyun Yoon; Moshe Mazor; Jingqin Luo; David Banks; John Ryals; Chris Beecher
Journal:  J Matern Fetal Neonatal Med       Date:  2010-05-26

Review 3.  Proteomics of the human placenta: promises and realities.

Authors:  J M Robinson; W E Ackerman; D A Kniss; T Takizawa; D D Vandré
Journal:  Placenta       Date:  2008-01-28       Impact factor: 3.481

Review 4.  The nature and biology of basement membranes.

Authors:  Ambra Pozzi; Peter D Yurchenco; Renato V Iozzo
Journal:  Matrix Biol       Date:  2016-12-28       Impact factor: 11.583

5.  High-throughput discovery and characterization of fetal protein trafficking in the blood of pregnant women.

Authors:  Jill L Maron; Gil Alterovitz; Marco Ramoni; Kirby L Johnson; Diana W Bianchi
Journal:  Proteomics Clin Appl       Date:  2009-12       Impact factor: 3.494

Review 6.  Endostatin and endorepellin: A common route of action for similar angiostatic cancer avengers.

Authors:  Chiara Poluzzi; Renato V Iozzo; Liliana Schaefer
Journal:  Adv Drug Deliv Rev       Date:  2015-10-27       Impact factor: 15.470

Review 7.  Disturbance of redox homeostasis in Down Syndrome: Role of iron dysmetabolism.

Authors:  Eugenio Barone; Andrea Arena; Elizabeth Head; D Allan Butterfield; Marzia Perluigi
Journal:  Free Radic Biol Med       Date:  2017-07-10       Impact factor: 7.376

Review 8.  The Use of Proteomics in Assisted Reproduction.

Authors:  Ioanna Kosteria; Athanasios K Anagnostopoulos; Christina Kanaka-Gantenbein; George P Chrousos; George T Tsangaris
Journal:  In Vivo       Date:  2017 May-Jun       Impact factor: 2.155

Review 9.  Diverse cell signaling events modulated by perlecan.

Authors:  John M Whitelock; James Melrose; Renato V Iozzo
Journal:  Biochemistry       Date:  2008-10-01       Impact factor: 3.162

10.  Discovery of novel serum biomarkers for prenatal Down syndrome screening by integrative data mining.

Authors:  Jeroen L A Pennings; Maria P H Koster; Wendy Rodenburg; Peter C J I Schielen; Annemieke de Vries
Journal:  PLoS One       Date:  2009-11-24       Impact factor: 3.240

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