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New Biomarkers for Prediction of Disseminated Intravascular Coagulation in Patients With Sepsis
Complication of disseminated intravascular coagulation (DIC) is a determinant of the prognosis for patients with sepsis. The purpose of this study was to find DIC-related peptides in blood for prediction and early diagnosis of DIC in patients with sepsis. The participants were 20 patients with sepsi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714845/ https://www.ncbi.nlm.nih.gov/pubmed/30304954 http://dx.doi.org/10.1177/1076029618804078 |
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author | Wakabayashi, Ichiro Mambo, Naomi Ueda, Takahiro Nonaka, Daisuke Lee, Lyang-Ja Tanaka, Kenji Kotani, Joji |
author_facet | Wakabayashi, Ichiro Mambo, Naomi Ueda, Takahiro Nonaka, Daisuke Lee, Lyang-Ja Tanaka, Kenji Kotani, Joji |
author_sort | Wakabayashi, Ichiro |
collection | PubMed |
description | Complication of disseminated intravascular coagulation (DIC) is a determinant of the prognosis for patients with sepsis. The purpose of this study was to find DIC-related peptides in blood for prediction and early diagnosis of DIC in patients with sepsis. The participants were 20 patients with sepsis (age: 68.9 ± 11.4 years) and they were divided into 2 groups with (n = 8) and without (n = 12) a complication of DIC. Peptides in the serum of the patients were inclusively analyzed by a new method for peptidome analysis using a target plate, BLOTCHIP. By differential analysis of peptides in the blood from patients in the groups with and without DIC, we selected 13 mass spectrometry (MS) peaks as candidate marker peptides for prediction of DIC. By subsequent MS/MS structural analysis, 8 peptides were successfully identified as marker peptides for DIC in patients with sepsis. The peptides were fragments of serum amyloid A-2 protein, α2-HS-glycoprotein, fibrinogen α chain, fibrinogen β chain, serum albumin, collagen α1 (I) chain, collagen α1 (III) chain, and coagulation factor XIII A chain. In receiver–operating characteristic analysis for the relationships between the marker peptides and DIC, the area under the curve for each of these peptides was 0.594 to 0.760. We identified 8 blood marker peptides for prediction of DIC complication in patients with sepsis. Further studies by direct measurements of the serum peptide levels in larger numbers of patients with sepsis-induced DIC are needed to confirm the findings of this study. |
format | Online Article Text |
id | pubmed-6714845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67148452019-09-04 New Biomarkers for Prediction of Disseminated Intravascular Coagulation in Patients With Sepsis Wakabayashi, Ichiro Mambo, Naomi Ueda, Takahiro Nonaka, Daisuke Lee, Lyang-Ja Tanaka, Kenji Kotani, Joji Clin Appl Thromb Hemost Original Articles Complication of disseminated intravascular coagulation (DIC) is a determinant of the prognosis for patients with sepsis. The purpose of this study was to find DIC-related peptides in blood for prediction and early diagnosis of DIC in patients with sepsis. The participants were 20 patients with sepsis (age: 68.9 ± 11.4 years) and they were divided into 2 groups with (n = 8) and without (n = 12) a complication of DIC. Peptides in the serum of the patients were inclusively analyzed by a new method for peptidome analysis using a target plate, BLOTCHIP. By differential analysis of peptides in the blood from patients in the groups with and without DIC, we selected 13 mass spectrometry (MS) peaks as candidate marker peptides for prediction of DIC. By subsequent MS/MS structural analysis, 8 peptides were successfully identified as marker peptides for DIC in patients with sepsis. The peptides were fragments of serum amyloid A-2 protein, α2-HS-glycoprotein, fibrinogen α chain, fibrinogen β chain, serum albumin, collagen α1 (I) chain, collagen α1 (III) chain, and coagulation factor XIII A chain. In receiver–operating characteristic analysis for the relationships between the marker peptides and DIC, the area under the curve for each of these peptides was 0.594 to 0.760. We identified 8 blood marker peptides for prediction of DIC complication in patients with sepsis. Further studies by direct measurements of the serum peptide levels in larger numbers of patients with sepsis-induced DIC are needed to confirm the findings of this study. SAGE Publications 2018-10-10 2018-12 /pmc/articles/PMC6714845/ /pubmed/30304954 http://dx.doi.org/10.1177/1076029618804078 Text en © The Author(s) 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Wakabayashi, Ichiro Mambo, Naomi Ueda, Takahiro Nonaka, Daisuke Lee, Lyang-Ja Tanaka, Kenji Kotani, Joji New Biomarkers for Prediction of Disseminated Intravascular Coagulation in Patients With Sepsis |
title | New Biomarkers for Prediction of Disseminated Intravascular
Coagulation in Patients With Sepsis |
title_full | New Biomarkers for Prediction of Disseminated Intravascular
Coagulation in Patients With Sepsis |
title_fullStr | New Biomarkers for Prediction of Disseminated Intravascular
Coagulation in Patients With Sepsis |
title_full_unstemmed | New Biomarkers for Prediction of Disseminated Intravascular
Coagulation in Patients With Sepsis |
title_short | New Biomarkers for Prediction of Disseminated Intravascular
Coagulation in Patients With Sepsis |
title_sort | new biomarkers for prediction of disseminated intravascular
coagulation in patients with sepsis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6714845/ https://www.ncbi.nlm.nih.gov/pubmed/30304954 http://dx.doi.org/10.1177/1076029618804078 |
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