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A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children
BACKGROUND: Severe dengue with severe plasma leakage (SD-SPL) is the most frequent of dengue severe form. Plasma biomarkers for early predictive diagnosis of SD-SPL are required in the primary clinics for the prevention of dengue death. METHODOLOGY: Among 63 confirmed dengue pediatric patients recru...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764501/ https://www.ncbi.nlm.nih.gov/pubmed/26895439 http://dx.doi.org/10.1371/journal.pntd.0004435 |
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author | Nhi, Dang My Huy, Nguyen Tien Ohyama, Kaname Kimura, Daisuke Lan, Nguyen Thi Phuong Uchida, Leo Thuong, Nguyen Van Nhon, Cao Thi My Phuc, Le Hong Mai, Nguyen Thi Mizukami, Shusaku Bao, Lam Quoc Doan, Nguyen Ngoc Binh, Nguyen Van Thanh Quang, Luong Chan Karbwang, Juntra Yui, Katsuyuki Morita, Kouichi Huong, Vu Thi Que Hirayama, Kenji |
author_facet | Nhi, Dang My Huy, Nguyen Tien Ohyama, Kaname Kimura, Daisuke Lan, Nguyen Thi Phuong Uchida, Leo Thuong, Nguyen Van Nhon, Cao Thi My Phuc, Le Hong Mai, Nguyen Thi Mizukami, Shusaku Bao, Lam Quoc Doan, Nguyen Ngoc Binh, Nguyen Van Thanh Quang, Luong Chan Karbwang, Juntra Yui, Katsuyuki Morita, Kouichi Huong, Vu Thi Que Hirayama, Kenji |
author_sort | Nhi, Dang My |
collection | PubMed |
description | BACKGROUND: Severe dengue with severe plasma leakage (SD-SPL) is the most frequent of dengue severe form. Plasma biomarkers for early predictive diagnosis of SD-SPL are required in the primary clinics for the prevention of dengue death. METHODOLOGY: Among 63 confirmed dengue pediatric patients recruited, hospital based longitudinal study detected six SD-SPL and ten dengue with warning sign (DWS). To identify the specific proteins increased or decreased in the SD-SPL plasma obtained 6–48 hours before the shock compared with the DWS, the isobaric tags for relative and absolute quantification (iTRAQ) technology was performed using four patients each group. Validation was undertaken in 6 SD-SPL and 10 DWS patients. PRINCIPAL FINDINGS: Nineteen plasma proteins exhibited significantly different relative concentrations (p<0.05), with five over-expressed and fourteen under-expressed in SD-SPL compared with DWS. The individual protein was classified to either blood coagulation, vascular regulation, cellular transport-related processes or immune response. The immunoblot quantification showed angiotensinogen and antithrombin III significantly increased in SD-SPL whole plasma of early stage compared with DWS subjects. Even using this small number of samples, antithrombin III predicted SD-SPL before shock occurrence with accuracy. CONCLUSION: Proteins identified here may serve as candidate predictive markers to diagnose SD-SPL for timely clinical management. Since the number of subjects are small, so further studies are needed to confirm all these biomarkers. |
format | Online Article Text |
id | pubmed-4764501 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-47645012016-03-07 A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children Nhi, Dang My Huy, Nguyen Tien Ohyama, Kaname Kimura, Daisuke Lan, Nguyen Thi Phuong Uchida, Leo Thuong, Nguyen Van Nhon, Cao Thi My Phuc, Le Hong Mai, Nguyen Thi Mizukami, Shusaku Bao, Lam Quoc Doan, Nguyen Ngoc Binh, Nguyen Van Thanh Quang, Luong Chan Karbwang, Juntra Yui, Katsuyuki Morita, Kouichi Huong, Vu Thi Que Hirayama, Kenji PLoS Negl Trop Dis Research Article BACKGROUND: Severe dengue with severe plasma leakage (SD-SPL) is the most frequent of dengue severe form. Plasma biomarkers for early predictive diagnosis of SD-SPL are required in the primary clinics for the prevention of dengue death. METHODOLOGY: Among 63 confirmed dengue pediatric patients recruited, hospital based longitudinal study detected six SD-SPL and ten dengue with warning sign (DWS). To identify the specific proteins increased or decreased in the SD-SPL plasma obtained 6–48 hours before the shock compared with the DWS, the isobaric tags for relative and absolute quantification (iTRAQ) technology was performed using four patients each group. Validation was undertaken in 6 SD-SPL and 10 DWS patients. PRINCIPAL FINDINGS: Nineteen plasma proteins exhibited significantly different relative concentrations (p<0.05), with five over-expressed and fourteen under-expressed in SD-SPL compared with DWS. The individual protein was classified to either blood coagulation, vascular regulation, cellular transport-related processes or immune response. The immunoblot quantification showed angiotensinogen and antithrombin III significantly increased in SD-SPL whole plasma of early stage compared with DWS subjects. Even using this small number of samples, antithrombin III predicted SD-SPL before shock occurrence with accuracy. CONCLUSION: Proteins identified here may serve as candidate predictive markers to diagnose SD-SPL for timely clinical management. Since the number of subjects are small, so further studies are needed to confirm all these biomarkers. Public Library of Science 2016-02-19 /pmc/articles/PMC4764501/ /pubmed/26895439 http://dx.doi.org/10.1371/journal.pntd.0004435 Text en © 2016 Nhi 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 (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Nhi, Dang My Huy, Nguyen Tien Ohyama, Kaname Kimura, Daisuke Lan, Nguyen Thi Phuong Uchida, Leo Thuong, Nguyen Van Nhon, Cao Thi My Phuc, Le Hong Mai, Nguyen Thi Mizukami, Shusaku Bao, Lam Quoc Doan, Nguyen Ngoc Binh, Nguyen Van Thanh Quang, Luong Chan Karbwang, Juntra Yui, Katsuyuki Morita, Kouichi Huong, Vu Thi Que Hirayama, Kenji A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children |
title | A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children |
title_full | A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children |
title_fullStr | A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children |
title_full_unstemmed | A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children |
title_short | A Proteomic Approach Identifies Candidate Early Biomarkers to Predict Severe Dengue in Children |
title_sort | proteomic approach identifies candidate early biomarkers to predict severe dengue in children |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4764501/ https://www.ncbi.nlm.nih.gov/pubmed/26895439 http://dx.doi.org/10.1371/journal.pntd.0004435 |
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