Cargando…

Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics

To identify candidate serum molecule biomarkers for the non-invasive early prenatal diagnosis of neural tube defects (NTDs), we employed an iTRAQ-based quantitative proteomic approach to analyze the proteomic changes in serum samples from embryonic day (E) 11 and E13 pregnant rats with spina bifida...

Descripción completa

Detalles Bibliográficos
Autores principales: An, Dong, Wei, Xiaowei, Li, Hui, Gu, Hui, Huang, Tianchu, Zhao, Guifeng, Liu, Bo, Wang, Weilin, Chen, Lizhu, Ma, Wei, Zhang, Henan, Cao, Songying, Yuan, Zhengwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4686913/
https://www.ncbi.nlm.nih.gov/pubmed/26691006
http://dx.doi.org/10.1038/srep17559
_version_ 1782406524054798336
author An, Dong
Wei, Xiaowei
Li, Hui
Gu, Hui
Huang, Tianchu
Zhao, Guifeng
Liu, Bo
Wang, Weilin
Chen, Lizhu
Ma, Wei
Zhang, Henan
Cao, Songying
Yuan, Zhengwei
author_facet An, Dong
Wei, Xiaowei
Li, Hui
Gu, Hui
Huang, Tianchu
Zhao, Guifeng
Liu, Bo
Wang, Weilin
Chen, Lizhu
Ma, Wei
Zhang, Henan
Cao, Songying
Yuan, Zhengwei
author_sort An, Dong
collection PubMed
description To identify candidate serum molecule biomarkers for the non-invasive early prenatal diagnosis of neural tube defects (NTDs), we employed an iTRAQ-based quantitative proteomic approach to analyze the proteomic changes in serum samples from embryonic day (E) 11 and E13 pregnant rats with spina bifida aperta (SBA) induced by all-trans retinoic acid. Among the 390 proteins identified, 40 proteins at E11 and 26 proteins at E13 displayed significant differential expression in the SBA groups. We confirmed 5 candidate proteins by ELISA. We observed the space-time expression changes of proprotein convertase subtilisin/kexin type 9 (PCSK9) at different stages of fetal development, including a marked decrease in the sera of NTD pregnancies and gradual increase in the sera of normal pregnancies with embryonic development. PCSK9 demonstrated the diagnostic efficacy of potential NTD biomarkers [with an area under the receiver operating characteristic curve of 0.763, 95% CI: 065–0.88]. Additionally, PCSK9 expression in the spinal cords and placentas of SBA rat fetuses was markedly decreased. PCSK9 could serve as a novel molecular biomarker for the non-invasive prenatal screening of NTDs and may be involved in the pathogenesis of NTDs at critical periods of fetal development.
format Online
Article
Text
id pubmed-4686913
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-46869132015-12-31 Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics An, Dong Wei, Xiaowei Li, Hui Gu, Hui Huang, Tianchu Zhao, Guifeng Liu, Bo Wang, Weilin Chen, Lizhu Ma, Wei Zhang, Henan Cao, Songying Yuan, Zhengwei Sci Rep Article To identify candidate serum molecule biomarkers for the non-invasive early prenatal diagnosis of neural tube defects (NTDs), we employed an iTRAQ-based quantitative proteomic approach to analyze the proteomic changes in serum samples from embryonic day (E) 11 and E13 pregnant rats with spina bifida aperta (SBA) induced by all-trans retinoic acid. Among the 390 proteins identified, 40 proteins at E11 and 26 proteins at E13 displayed significant differential expression in the SBA groups. We confirmed 5 candidate proteins by ELISA. We observed the space-time expression changes of proprotein convertase subtilisin/kexin type 9 (PCSK9) at different stages of fetal development, including a marked decrease in the sera of NTD pregnancies and gradual increase in the sera of normal pregnancies with embryonic development. PCSK9 demonstrated the diagnostic efficacy of potential NTD biomarkers [with an area under the receiver operating characteristic curve of 0.763, 95% CI: 065–0.88]. Additionally, PCSK9 expression in the spinal cords and placentas of SBA rat fetuses was markedly decreased. PCSK9 could serve as a novel molecular biomarker for the non-invasive prenatal screening of NTDs and may be involved in the pathogenesis of NTDs at critical periods of fetal development. Nature Publishing Group 2015-12-22 /pmc/articles/PMC4686913/ /pubmed/26691006 http://dx.doi.org/10.1038/srep17559 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
An, Dong
Wei, Xiaowei
Li, Hui
Gu, Hui
Huang, Tianchu
Zhao, Guifeng
Liu, Bo
Wang, Weilin
Chen, Lizhu
Ma, Wei
Zhang, Henan
Cao, Songying
Yuan, Zhengwei
Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics
title Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics
title_full Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics
title_fullStr Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics
title_full_unstemmed Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics
title_short Identification of PCSK9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using iTRAQ quantitative proteomics
title_sort identification of pcsk9 as a novel serum biomarker for the prenatal diagnosis of neural tube defects using itraq quantitative proteomics
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4686913/
https://www.ncbi.nlm.nih.gov/pubmed/26691006
http://dx.doi.org/10.1038/srep17559
work_keys_str_mv AT andong identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT weixiaowei identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT lihui identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT guhui identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT huangtianchu identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT zhaoguifeng identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT liubo identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT wangweilin identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT chenlizhu identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT mawei identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT zhanghenan identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT caosongying identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics
AT yuanzhengwei identificationofpcsk9asanovelserumbiomarkerfortheprenataldiagnosisofneuraltubedefectsusingitraqquantitativeproteomics