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Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia
We sought to identify serological markers capable of diagnosing preeclampsia (PE). We performed serum peptide analysis (liquid chromatography mass spectrometry) of 62 unique samples from 31 PE patients and 31 healthy pregnant controls, with two-thirds used as a training set and the other third as a...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686758/ https://www.ncbi.nlm.nih.gov/pubmed/23840341 http://dx.doi.org/10.1371/journal.pone.0065571 |
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author | Wen, Qiaojun Liu, Linda Y. Yang, Ting Alev, Cantas Wu, Shuaibin Stevenson, David K. Sheng, Guojun Butte, Atul J. Ling, Xuefeng B. |
author_facet | Wen, Qiaojun Liu, Linda Y. Yang, Ting Alev, Cantas Wu, Shuaibin Stevenson, David K. Sheng, Guojun Butte, Atul J. Ling, Xuefeng B. |
author_sort | Wen, Qiaojun |
collection | PubMed |
description | We sought to identify serological markers capable of diagnosing preeclampsia (PE). We performed serum peptide analysis (liquid chromatography mass spectrometry) of 62 unique samples from 31 PE patients and 31 healthy pregnant controls, with two-thirds used as a training set and the other third as a testing set. Differential serum peptide profiling identified 52 significant serum peptides, and a 19-peptide panel collectively discriminating PE in training sets (n = 21 PE, n = 21 control; specificity = 85.7% and sensitivity = 100%) and testing sets (n = 10 PE, n = 10 control; specificity = 80% and sensitivity = 100%). The panel peptides were derived from 6 different protein precursors: 13 from fibrinogen alpha (FGA), 1 from alpha-1-antitrypsin (A1AT), 1 from apolipoprotein L1 (APO-L1), 1 from inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), 2 from kininogen-1 (KNG1), and 1 from thymosin beta-4 (TMSB4). We concluded that serum peptides can accurately discriminate active PE. Measurement of a 19-peptide panel could be performed quickly and in a quantitative mass spectrometric platform available in clinical laboratories. This serum peptide panel quantification could provide clinical utility in predicting PE or differential diagnosis of PE from confounding chronic hypertension. |
format | Online Article Text |
id | pubmed-3686758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36867582013-07-09 Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia Wen, Qiaojun Liu, Linda Y. Yang, Ting Alev, Cantas Wu, Shuaibin Stevenson, David K. Sheng, Guojun Butte, Atul J. Ling, Xuefeng B. PLoS One Research Article We sought to identify serological markers capable of diagnosing preeclampsia (PE). We performed serum peptide analysis (liquid chromatography mass spectrometry) of 62 unique samples from 31 PE patients and 31 healthy pregnant controls, with two-thirds used as a training set and the other third as a testing set. Differential serum peptide profiling identified 52 significant serum peptides, and a 19-peptide panel collectively discriminating PE in training sets (n = 21 PE, n = 21 control; specificity = 85.7% and sensitivity = 100%) and testing sets (n = 10 PE, n = 10 control; specificity = 80% and sensitivity = 100%). The panel peptides were derived from 6 different protein precursors: 13 from fibrinogen alpha (FGA), 1 from alpha-1-antitrypsin (A1AT), 1 from apolipoprotein L1 (APO-L1), 1 from inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), 2 from kininogen-1 (KNG1), and 1 from thymosin beta-4 (TMSB4). We concluded that serum peptides can accurately discriminate active PE. Measurement of a 19-peptide panel could be performed quickly and in a quantitative mass spectrometric platform available in clinical laboratories. This serum peptide panel quantification could provide clinical utility in predicting PE or differential diagnosis of PE from confounding chronic hypertension. Public Library of Science 2013-06-19 /pmc/articles/PMC3686758/ /pubmed/23840341 http://dx.doi.org/10.1371/journal.pone.0065571 Text en © 2013 Wen et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wen, Qiaojun Liu, Linda Y. Yang, Ting Alev, Cantas Wu, Shuaibin Stevenson, David K. Sheng, Guojun Butte, Atul J. Ling, Xuefeng B. Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia |
title | Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia |
title_full | Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia |
title_fullStr | Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia |
title_full_unstemmed | Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia |
title_short | Peptidomic Identification of Serum Peptides Diagnosing Preeclampsia |
title_sort | peptidomic identification of serum peptides diagnosing preeclampsia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686758/ https://www.ncbi.nlm.nih.gov/pubmed/23840341 http://dx.doi.org/10.1371/journal.pone.0065571 |
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