Cargando…

Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity

Dengue fever (DF) could develop into dengue haemorrhagic fever (DHF) with increased mortality rate. Since the clinical characteristics and pathogen are same in DF and DHF. It’s important to identify different molecular biomarkers to predict DHF patients from DF. We conducted a clinical plasma proteo...

Descripción completa

Detalles Bibliográficos
Autores principales: Han, Lifen, Ao, Xiulan, Lin, Shujin, Guan, Shengcan, Zheng, Lin, Han, Xiao, Ye, Hanhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914681/
https://www.ncbi.nlm.nih.gov/pubmed/31921022
http://dx.doi.org/10.3389/fmicb.2019.02836
_version_ 1783479857628315648
author Han, Lifen
Ao, Xiulan
Lin, Shujin
Guan, Shengcan
Zheng, Lin
Han, Xiao
Ye, Hanhui
author_facet Han, Lifen
Ao, Xiulan
Lin, Shujin
Guan, Shengcan
Zheng, Lin
Han, Xiao
Ye, Hanhui
author_sort Han, Lifen
collection PubMed
description Dengue fever (DF) could develop into dengue haemorrhagic fever (DHF) with increased mortality rate. Since the clinical characteristics and pathogen are same in DF and DHF. It’s important to identify different molecular biomarkers to predict DHF patients from DF. We conducted a clinical plasma proteomics study using quantification (TMT)-based quantitative proteomics methodology to found the differential expressed protein in DF patients before they developed into DHF. In total 441 proteins were identified up or down regulated. There proteins are enriched in diverse biological processes such as proteasome pathway, Alanine, aspartate, and glutamate metabolism and arginine biosynthesis. Several proteins such as PLAT, LAMB2, and F9 were upregulated in only DF patients which developed into DHF cases, not in DF, compared with healthy-control. In another way, FGL1, MFAP4, GLUL, and VCAM1 were upregulated in both DHF and DF cases compare with healthy-control. RT-PCR and ELISA were used to validate these upregulated gene expression and protein level in 54 individuals. Results displayed the same pattern as proteomics analysis. All including PLAT, LAMB2, F9, VCAM1, FGL1, MFAP4, and GLUL could be considered as potential markers of predicting DHF since the levels of these proteins vary between DF and DHF. These new founding identified potential molecular biomarkers for future development in precision prediction of DHF in DF patients.
format Online
Article
Text
id pubmed-6914681
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-69146812020-01-09 Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity Han, Lifen Ao, Xiulan Lin, Shujin Guan, Shengcan Zheng, Lin Han, Xiao Ye, Hanhui Front Microbiol Microbiology Dengue fever (DF) could develop into dengue haemorrhagic fever (DHF) with increased mortality rate. Since the clinical characteristics and pathogen are same in DF and DHF. It’s important to identify different molecular biomarkers to predict DHF patients from DF. We conducted a clinical plasma proteomics study using quantification (TMT)-based quantitative proteomics methodology to found the differential expressed protein in DF patients before they developed into DHF. In total 441 proteins were identified up or down regulated. There proteins are enriched in diverse biological processes such as proteasome pathway, Alanine, aspartate, and glutamate metabolism and arginine biosynthesis. Several proteins such as PLAT, LAMB2, and F9 were upregulated in only DF patients which developed into DHF cases, not in DF, compared with healthy-control. In another way, FGL1, MFAP4, GLUL, and VCAM1 were upregulated in both DHF and DF cases compare with healthy-control. RT-PCR and ELISA were used to validate these upregulated gene expression and protein level in 54 individuals. Results displayed the same pattern as proteomics analysis. All including PLAT, LAMB2, F9, VCAM1, FGL1, MFAP4, and GLUL could be considered as potential markers of predicting DHF since the levels of these proteins vary between DF and DHF. These new founding identified potential molecular biomarkers for future development in precision prediction of DHF in DF patients. Frontiers Media S.A. 2019-12-10 /pmc/articles/PMC6914681/ /pubmed/31921022 http://dx.doi.org/10.3389/fmicb.2019.02836 Text en Copyright © 2019 Han, Ao, Lin, Guan, Zheng, Han and Ye. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Han, Lifen
Ao, Xiulan
Lin, Shujin
Guan, Shengcan
Zheng, Lin
Han, Xiao
Ye, Hanhui
Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity
title Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity
title_full Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity
title_fullStr Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity
title_full_unstemmed Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity
title_short Quantitative Comparative Proteomics Reveal Biomarkers for Dengue Disease Severity
title_sort quantitative comparative proteomics reveal biomarkers for dengue disease severity
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914681/
https://www.ncbi.nlm.nih.gov/pubmed/31921022
http://dx.doi.org/10.3389/fmicb.2019.02836
work_keys_str_mv AT hanlifen quantitativecomparativeproteomicsrevealbiomarkersfordenguediseaseseverity
AT aoxiulan quantitativecomparativeproteomicsrevealbiomarkersfordenguediseaseseverity
AT linshujin quantitativecomparativeproteomicsrevealbiomarkersfordenguediseaseseverity
AT guanshengcan quantitativecomparativeproteomicsrevealbiomarkersfordenguediseaseseverity
AT zhenglin quantitativecomparativeproteomicsrevealbiomarkersfordenguediseaseseverity
AT hanxiao quantitativecomparativeproteomicsrevealbiomarkersfordenguediseaseseverity
AT yehanhui quantitativecomparativeproteomicsrevealbiomarkersfordenguediseaseseverity