Literature DB >> 20459121

Amniotic fluid proteome analysis from Down syndrome pregnancies for biomarker discovery.

Chan-Kyung J Cho1, Christopher R Smith, Eleftherios P Diamandis.   

Abstract

Down syndrome (DS) is an anomaly caused by an extra chromosome 21, and it affects 1 in 750 live births. Phenotypes include cognitive impairment, congenital defects, and increased risk for several diseases such as Alzheimer's disease and leukemia. Current DS-screening tests subject many women to invasive procedures for accurate diagnosis due to insufficient specificity. Since amniotic fluid (AF) surrounds the developing fetus, understanding the changes in AF composition in the presence of DS may provide insights into genotype-phenotype associations, and aid in discovery of novel biomarkers for better screening. On the basis of our previous study, in which we reported an extensive proteome of AF, we performed two-dimensional liquid chromatography followed by MS/MS to analyze triplicates of pooled AF of chromosomally normal and DS-affected pregnancies (10 samples per pool). A total of 542 proteins were identified from the two sets of triplicate analyses by the LTQ-Orbitrap mass spectrometer and data were compared semiquantitatively by spectral counting. Candidate biomarkers were selected based on the spectral count differences between the two conditions after normalization. Comparison between the two groups revealed 60 candidates that showed greater than 2-fold increase or decrease in concentration in the presence of DS. Among these candidates, amyloid precursor protein and tenascin-C were verified by ELISA, and both showed a 2-fold increase, on average, in DS-AF samples compared to controls. All proteins that showed significant differences between the two conditions were bioinformatically analyzed to preliminarily understand their biological implications in DS.

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Year:  2010        PMID: 20459121     DOI: 10.1021/pr100088k

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


  19 in total

1.  Unraveling the sperm proteome and post-genomic pathways associated with sperm nuclear DNA fragmentation.

Authors:  Paula Intasqui; Mariana Camargo; Paula T Del Giudice; Deborah M Spaine; Valdemir M Carvalho; Karina H M Cardozo; Agnaldo P Cedenho; Ricardo P Bertolla
Journal:  J Assist Reprod Genet       Date:  2013-07-27       Impact factor: 3.412

Review 2.  Amniotic fluid: the use of high-dimensional biology to understand fetal well-being.

Authors:  Beena D Kamath-Rayne; Heather C Smith; Louis J Muglia; Ardythe L Morrow
Journal:  Reprod Sci       Date:  2013-04-18       Impact factor: 3.060

3.  A proteomic analysis of human follicular fluid: comparison between fertilized oocytes and non-fertilized oocytes in the same patient.

Authors:  Akira Iwase; Hiroharu Kobayashi; Maki Goto; Tatsuo Nakahara; Tomoko Nakamura; Mika Kondo; Yoshinari Nagatomo; Tomomi Kotani; Fumitaka Kikkawa
Journal:  J Assist Reprod Genet       Date:  2013-07-26       Impact factor: 3.412

Review 4.  Unraveling the complexity of neurodegeneration in brains of subjects with Down syndrome: insights from proteomics.

Authors:  Marzia Perluigi; Fabio Di Domenico; D Allan Buttterfield
Journal:  Proteomics Clin Appl       Date:  2014-02       Impact factor: 3.494

5.  Gene expression profiling in a mouse model identifies fetal liver- and placenta-derived potential biomarkers for Down Syndrome screening.

Authors:  Jeroen L A Pennings; Wendy Rodenburg; Sandra Imholz; Maria P H Koster; Conny T M van Oostrom; Timo M Breit; Peter C J I Schielen; Annemieke de Vries
Journal:  PLoS One       Date:  2011-04-14       Impact factor: 3.240

6.  2D DIGE analysis of maternal plasma for potential biomarkers of Down Syndrome.

Authors:  Wendy E Heywood; Tracey E Madgett; Darrell Wang; Amanda Wallington; Julie Hogg; Kevin Mills; Neil D Avent
Journal:  Proteome Sci       Date:  2011-09-19       Impact factor: 2.480

7.  Oxidative Stress and Down Syndrome: A Route toward Alzheimer-Like Dementia.

Authors:  Marzia Perluigi; D Allan Butterfield
Journal:  Curr Gerontol Geriatr Res       Date:  2011-11-29

8.  Bioinformatics characterization of differential proteins in serum of mothers carrying Down syndrome fetuses: combining bioinformatics and ELISA.

Authors:  Bin Yu; Bin Zhang; Ye Shi; Shi-He Shao; Qiu-Wei Wang; Rui-Ping Huang; Yu-Qi Yang
Journal:  Arch Med Sci       Date:  2012-05-09       Impact factor: 3.318

9.  Quantitative proteomic analysis of amniocytes reveals potentially dysregulated molecular networks in Down syndrome.

Authors:  Chan-Kyung J Cho; Andrei P Drabovich; George S Karagiannis; Eduardo Martínez-Morillo; Shawn Dason; Apostolos Dimitromanolakis; Eleftherios P Diamandis
Journal:  Clin Proteomics       Date:  2013-02-08       Impact factor: 3.988

10.  Application of proteomics for the identification of biomarkers in amniotic fluid: are we ready to provide a reliable prediction?

Authors:  George Th Tsangaris; Athanasios K Anagnostopoulos; Georgia Tounta; Aris Antsaklis; Ariadni Mavrou; Aggeliki Kolialexi
Journal:  EPMA J       Date:  2011-06-19       Impact factor: 6.543

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