Meta-analysis of biomarkers for severe dengue infections

Background: Dengue viral infection is an acute infection that has the potential to have severe complications as its major sequela. Currently, there is no routine laboratory biomarker with which to predict the severity of dengue infection or monitor the effectiveness of standard management. Hence, th...

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Main Authors: Soo, Kuan Meng, Khalid, Bahariah, Ching, Siew Mooi, Tham, Chau Ling, Basir, Rusliza, Chee, Hui Yee
Format: Article
Language:English
Published: PeerJ 2017
Online Access:http://psasir.upm.edu.my/id/eprint/62395/1/Meta-analysis%20of%20biomarkers%20for%20severe.pdf
http://psasir.upm.edu.my/id/eprint/62395/
https://peerj.com/articles/3589/
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spelling my.upm.eprints.623952020-01-10T04:57:33Z http://psasir.upm.edu.my/id/eprint/62395/ Meta-analysis of biomarkers for severe dengue infections Soo, Kuan Meng Khalid, Bahariah Ching, Siew Mooi Tham, Chau Ling Basir, Rusliza Chee, Hui Yee Background: Dengue viral infection is an acute infection that has the potential to have severe complications as its major sequela. Currently, there is no routine laboratory biomarker with which to predict the severity of dengue infection or monitor the effectiveness of standard management. Hence, this meta-analysis compared biomarker levels between dengue fever (DF) and severe dengue infections (SDI) to identify potential biomarkers for SDI. Methods: Data concerning levels of cytokines, chemokines, and other potential biomarkers of DF, dengue hemorrhagic fever, dengue shock syndrome, and severe dengue were obtained for patients of all ages and populations using the Scopus, PubMed, and Ovid search engines. The keywords “(IL1* or IL-1*) AND (dengue*)” were used and the same process was repeated for other potential biomarkers, according to Medical Subject Headings terms suggested by PubMed and Ovid. Meta-analysis of the mean difference in plasma or serum level of biomarkers between DF and SDI patients was performed, separated by different periods of time (days) since fever onset. Subgroup analyses comparing biomarker levels of healthy plasma and sera controls, biomarker levels of primary and secondary infection samples were also performed, as well as analyses of different levels of severity and biomarker levels upon infection by different dengue serotypes. Results: Fifty-six studies of 53 biomarkers from 3,739 dengue cases (2,021 DF and 1,728 SDI) were included in this meta-analysis. Results showed that RANTES, IL-7, IL-8, IL-10, IL-18, TGF-b, and VEGFR2 levels were significantly different between DF and SDI. IL-8, IL-10, and IL-18 levels increased during SDI (95% CI, 18.1–253.2 pg/mL, 3–13 studies, n = 177–1,909, I2 = 98.86%–99.75%). In contrast, RANTES, IL-7, TGF-b, and VEGFR2 showed a decrease in levels during SDI (95% CI, −3238.7 to −3.2 pg/mL, 1–3 studies, n = 95–418, I2 = 97.59%–99.99%). Levels of these biomarkers were also found to correlate with the severity of the dengue infection, in comparison to healthy controls. Furthermore, the results showed that IL-7, IL-8, IL-10, TGF-b, and VEGFR2 display peak differences between DF and SDI during or before the critical phase (day 4–5) of SDI. Discussion: This meta-analysis suggests that IL-7, IL-8, IL-10, TGF-b, and VEGFR2 may be used as potential early laboratory biomarkers in the diagnosis of SDI. This can be used to predict the severity of dengue infection and to monitor the effectiveness of treatment. Nevertheless, methodological and reporting limitations must be overcome in future research to minimize variables that affect the results and to confirm the findings. PeerJ 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/62395/1/Meta-analysis%20of%20biomarkers%20for%20severe.pdf Soo, Kuan Meng and Khalid, Bahariah and Ching, Siew Mooi and Tham, Chau Ling and Basir, Rusliza and Chee, Hui Yee (2017) Meta-analysis of biomarkers for severe dengue infections. PeerJ, 2017 (9). pp. 1-25. ISSN 2167-8359 https://peerj.com/articles/3589/ 10.7717/peerj.3589
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Background: Dengue viral infection is an acute infection that has the potential to have severe complications as its major sequela. Currently, there is no routine laboratory biomarker with which to predict the severity of dengue infection or monitor the effectiveness of standard management. Hence, this meta-analysis compared biomarker levels between dengue fever (DF) and severe dengue infections (SDI) to identify potential biomarkers for SDI. Methods: Data concerning levels of cytokines, chemokines, and other potential biomarkers of DF, dengue hemorrhagic fever, dengue shock syndrome, and severe dengue were obtained for patients of all ages and populations using the Scopus, PubMed, and Ovid search engines. The keywords “(IL1* or IL-1*) AND (dengue*)” were used and the same process was repeated for other potential biomarkers, according to Medical Subject Headings terms suggested by PubMed and Ovid. Meta-analysis of the mean difference in plasma or serum level of biomarkers between DF and SDI patients was performed, separated by different periods of time (days) since fever onset. Subgroup analyses comparing biomarker levels of healthy plasma and sera controls, biomarker levels of primary and secondary infection samples were also performed, as well as analyses of different levels of severity and biomarker levels upon infection by different dengue serotypes. Results: Fifty-six studies of 53 biomarkers from 3,739 dengue cases (2,021 DF and 1,728 SDI) were included in this meta-analysis. Results showed that RANTES, IL-7, IL-8, IL-10, IL-18, TGF-b, and VEGFR2 levels were significantly different between DF and SDI. IL-8, IL-10, and IL-18 levels increased during SDI (95% CI, 18.1–253.2 pg/mL, 3–13 studies, n = 177–1,909, I2 = 98.86%–99.75%). In contrast, RANTES, IL-7, TGF-b, and VEGFR2 showed a decrease in levels during SDI (95% CI, −3238.7 to −3.2 pg/mL, 1–3 studies, n = 95–418, I2 = 97.59%–99.99%). Levels of these biomarkers were also found to correlate with the severity of the dengue infection, in comparison to healthy controls. Furthermore, the results showed that IL-7, IL-8, IL-10, TGF-b, and VEGFR2 display peak differences between DF and SDI during or before the critical phase (day 4–5) of SDI. Discussion: This meta-analysis suggests that IL-7, IL-8, IL-10, TGF-b, and VEGFR2 may be used as potential early laboratory biomarkers in the diagnosis of SDI. This can be used to predict the severity of dengue infection and to monitor the effectiveness of treatment. Nevertheless, methodological and reporting limitations must be overcome in future research to minimize variables that affect the results and to confirm the findings.
format Article
author Soo, Kuan Meng
Khalid, Bahariah
Ching, Siew Mooi
Tham, Chau Ling
Basir, Rusliza
Chee, Hui Yee
spellingShingle Soo, Kuan Meng
Khalid, Bahariah
Ching, Siew Mooi
Tham, Chau Ling
Basir, Rusliza
Chee, Hui Yee
Meta-analysis of biomarkers for severe dengue infections
author_facet Soo, Kuan Meng
Khalid, Bahariah
Ching, Siew Mooi
Tham, Chau Ling
Basir, Rusliza
Chee, Hui Yee
author_sort Soo, Kuan Meng
title Meta-analysis of biomarkers for severe dengue infections
title_short Meta-analysis of biomarkers for severe dengue infections
title_full Meta-analysis of biomarkers for severe dengue infections
title_fullStr Meta-analysis of biomarkers for severe dengue infections
title_full_unstemmed Meta-analysis of biomarkers for severe dengue infections
title_sort meta-analysis of biomarkers for severe dengue infections
publisher PeerJ
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/62395/1/Meta-analysis%20of%20biomarkers%20for%20severe.pdf
http://psasir.upm.edu.my/id/eprint/62395/
https://peerj.com/articles/3589/
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