Interleukin-18 levels in adult dengue fever and dengue hemorrhagic fever

Pohan, Herdiman T.; Suhendro, Suhendro; Bur, Rika; Matondang, Asnath Vera; Djauzi, Samsuridjal; Inada, Katsuya; Endo, Shunsuke

doi:10.13181/mji.v13i2.136

Cited by 4 publications

(2 citation statements)

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“…Upon NLRP3 activation and assembly, the proIL-18 will be further processed by intracellular cysteine protease caspase-1 and released as a fully functional matured IL-18. The elevation of IL-18 among DWS+ and SD patients in this cohort suggest that aberrant activation of the inflammasome may play a role in dengue immunopathogenesis, consistent with previous reports [7, 17, 34, 35]. IL-18 secreted by monocytes/macrophages will then induce activation and expression of both CC and CXC chemokines from a wide range of cells [36] enhancing natural killer (NK) cell cytotoxicity, neutrophil activity, and IFN-γ production by T cells and NK cells [36].…”

Section: Discussionsupporting

confidence: 92%

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Aberrant monocyte responses predict and characterize dengue virus infection in individuals with severe disease

et al. 2017

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BackgroundCurrently, several assays can diagnose acute dengue infection. However, none of these assays can predict the severity of the disease. Biomarkers that predicts the likelihood that a dengue patient will develop a severe form of the disease could permit more efficient patient triage and allows better supportive care for the individual in need, especially during dengue outbreaks.MethodsWe measured 20 plasma markers i.e. IFN-γ, IL-10, granzyme-B, CX3CL1, IP-10, RANTES, CXCL8, CXCL6, VCAM, ICAM, VEGF, HGF, sCD25, IL-18, LBP, sCD14, sCD163, MIF, MCP-1 and MIP-1β in 141 dengue patients in over 230 specimens and correlate the levels of these plasma markers with the development of dengue without warning signs (DWS−), dengue with warning signs (DWS+) and severe dengue (SD).ResultsOur results show that the elevation of plasma levels of IL-18 at both febrile and defervescence phase was significantly associated with DWS+ and SD; whilst increase of sCD14 and LBP at febrile phase were associated with severity of dengue disease. By using receiver operating characteristic (ROC) analysis, the IL-18, LBP and sCD14 were significantly predicted the development of more severe form of dengue disease (DWS+/SD) (AUC = 0.768, P < 0.0001; AUC = 0.819, P < 0.0001 and AUC = 0.647, P = 0.014 respectively). Furthermore, we also found that the levels of VEGF were directly correlated and sCD14 was inversely correlated with platelet count, suggesting that the endothelial activation and microbial translocation may played a role in pathogenesis of dengue disease.ConclusionsGiven that the elevation IL-18, LBP and sCD14 among patients with severe form of dengue disease, our findings suggest a pathogenic role for an aberrant inflammasome and monocyte activation in the development of severe form of dengue disease.Electronic supplementary materialThe online version of this article (doi:10.1186/s12967-017-1226-4) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 92%

“…A total of 230 plasma specimens (febrile, n = 126; defervescence, n = 104) were included in this study, of which specimens for 89 (36.1%) patients were paired. Age of patients ranged from 14 to 61 years old with median, interquartile range (IQR) of 25 [ 21 , 34 ] years old. 68.8% were male.…”

Section: Resultsmentioning

confidence: 99%

Aberrant monocyte responses predict and characterize dengue virus infection in individuals with severe disease

et al. 2017

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Interleukin-18 levels reflect the long-term prognosis of acute lung injury and acute respiratory distress syndrome

et al. 2012

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Dengue prediction model: A systematic review using social network analysis

Wahyuni¹,

Sediyono

Sembiring

2021

J. Phys.: Conf. Ser.

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Since 1968, Dengue Harmonic Fever’s incidence in Indonesia has continued to rise and has become a public health issue. Indonesia has the largest number of Dengue Harmonic Fever cases than 30 other epidemic countries worldwide. It is very important to carry out research related to dengue cases’ prediction to prevent the spread of Dengue. This literature review is intended to determine the extent of the dengue prediction approach carried out by previous researchers, and a research gap will be obtained. The algorithm used to cluster articles is a modularity algorithm, using several open-source tools to process data. The online databases used are Google Scholar and Crossref by using keywords: journal, algorithm, prediction, and Dengue. The data are taken from the expansion of 1928-2020. This study’s results are 200 articles that are suitable and divided into four clusters of important articles. Also, several important parameters were obtained in the prediction study of dengue fever, namely humidity, temperature, rainfall, and population density.

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Interleukin-18 levels in adult dengue fever and dengue hemorrhagic fever

Cited by 4 publications

References 13 publications

Aberrant monocyte responses predict and characterize dengue virus infection in individuals with severe disease

Aberrant monocyte responses predict and characterize dengue virus infection in individuals with severe disease

Interleukin-18 levels reflect the long-term prognosis of acute lung injury and acute respiratory distress syndrome

Dengue prediction model: A systematic review using social network analysis

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