African Journal of
Biotechnology

  • Abbreviation: Afr. J. Biotechnol.
  • Language: English
  • ISSN: 1684-5315
  • DOI: 10.5897/AJB
  • Start Year: 2002
  • Published Articles: 12481

Full Length Research Paper

Application of proteomics for prenatal diagnosis of Down syndrome: Systematic review and a meta-analysis

Bin Yu1,2, Jing Wang1, Qiu-wei Wang1*, Rui-ping Huang1 and Shi-he Shao2
1Changzhou Woman and Children Health Hospital affiliated to Nanjing Medical University, Changzhou 213003, Jiangsu Province, China. 2Jiangsu University, Zhenjiang, 212000, Jiangsu Province, China
Email: [email protected]

  •  Accepted: 12 August 2011
  •  Published: 14 December 2011

Abstract

We systematically reviewed the available literature and meta-analyzed the data which was specialized in Down syndrome (DS) diagnosis with proteomic techniques. Pubmed, EBSCOhost and ScienceDirect searches for relevant articles published from inception until July 2010 were obtained and ten articles were selected. Many candidate biomarkers were found, which could be used to identify Down syndrome. There were 14 markers noted more than two times and 29 best biomarkers were recommended by the authors particularly for clinical application. Application of proteomics contributed to the finding of novel biomarker for prenatal diagnosis of Down syndrome, providing opportunities for the development of non-invasive prenatal diagnosis.

 

Key words: Down syndrome, proteomic, aneuploidy, prenatal diagnosis, meta-analysis