SELDI-TOF-MS proteomic profiling of serum, urine, and amniotic fluid in neural tube defects

• Published in: PloS one 2014-07, Vol.9 (7), p.e103276-e103276
• Main Authors: Liu, Zhenjiang, Yuan, Zhengwei, Zhao, Qun
• Format: Article
• Language: English
• Subjects: Amniocentesis; Amniotic fluid; Amniotic Fluid - chemistry; Bioindicators; Biology and Life Sciences; Biomarkers; Birth defects; Blood Proteins - analysis; Classification; Congenital defects; Congenital diseases; Defects; Female; Fetuses; Health risk assessment; Humans; Mass Spectrometry; Maternal-Fetal Relations; Medicine and Health Sciences; Mothers; Neural tube defects; Neural Tube Defects - blood; Neural Tube Defects - urine; Ovarian cancer; Pediatrics; Pilot Projects; Pregnancy; Prenatal development; Protein expression; Proteins; Proteome - analysis; Proteomics; Scientific imaging; Sensitivity; Severe acute respiratory syndrome; Spina bifida; Surgery; Training; Urine
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0103276

Neural tube defects (NTDs) are common birth defects, whose specific biomarkers are needed. The purpose of this pilot study is to determine whether protein profiling in NTD-mothers differ from normal controls using SELDI-TOF-MS. ProteinChip Biomarker System was used to evaluate 82 maternal serum samples, 78 urine samples and 76 amniotic fluid samples. The validity of classification tree was then challenged with a blind test set including another 20 NTD-mothers and 18 controls in serum samples, and another 19 NTD-mothers and 17 controls in urine samples, and another 20 NTD-mothers and 17 controls in amniotic fluid samples. Eight proteins detected in serum samples were up-regulated and four proteins were down-regulated in the NTD group. Four proteins detected in urine samples were up-regulated and one protein was down-regulated in the NTD group. Six proteins detected in amniotic fluid samples were up-regulated and one protein was down-regulated in the NTD group. The classification tree for serum samples separated NTDs from healthy individuals, achieving a sensitivity of 91% and a specificity of 97% in the training set, and achieving a sensitivity of 90% and a specificity of 97% and a positive predictive value of 95% in the test set. The classification tree for urine samples separated NTDs from controls, achieving a sensitivity of 95% and a specificity of 94% in the training set, and achieving a sensitivity of 89% and a specificity of 82% and a positive predictive value of 85% in the test set. The classification tree for amniotic fluid samples separated NTDs from controls, achieving a sensitivity of 93% and a specificity of 89% in the training set, and achieving a sensitivity of 90% and a specificity of 88% and a positive predictive value of 90% in the test set. These suggest that SELDI-TOF-MS is an additional method for NTDs pregnancies detection.