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Anti-DENV IgE correlates with dengue severity and triggers FcεRI-dependent basophil activation inhibited by Omalizumab
(2026-12-01)
Chan-in, Wilawan
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Vacharathit, Vimvara
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Tancharoen, Walairat
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Duangchinda, Thaneeya
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Mongkolsapaya, Juthathip
Severe dengue, marked by plasma leakage, is often linked to secondary heterotypic dengue virus (DENV) infection. While mast cells and basophils contribute to dengue pathogenesis, the role of anti-DENV IgE remains unclear. Here, we investigated whether anti-DENV IgE promotes FcεRI-dependent basophil activation, potentially contributing to disease severity. Plasma from dengue fever (DF, n = 42) and dengue hemorrhagic fever (DHF, n = 56) patients, collected at febrile, defervescence, and convalescent phases, were analyzed using an in-house IgE-capture ELISA developed to detect antibodies against all four DENV serotypes. Functional assays employed RS-ATL8, a human FcεRI-expressing basophil reporter cell line, to assess IgE-mediated activation following DENV antigen cross-linking. The anti-IgE monoclonal antibody Omalizumab was used to evaluate FcεRI dependence. Anti-DENV IgE was detected in both DF and DHF, peaking at defervescence and significantly higher in DHF. Total IgE was elevated but did not differ between groups. About one-third of anti-DENV-IgE-positive plasma samples induced RS-ATL8 activation upon DENV challenge, an effect abolished by omalizumab. These findings indicate a potential pathogenic role of anti-DENV IgE and provide a rationale for further investigation of IgE-targeted interventions.
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Dengue Disease Transmission Model in the Central and the Other Regions in Thailand
(2025-10-06)
Pongsumpun, Puntani
The disease has occurred between Aedes mosquitoes and people, called as dengue disease. The transmission of this disease between the central region and the other regions are different. We formulated the mathematical model for this disease by considering human and vector populations. Human is separated as Susceptible, infectious, and recovered population. The vector population is divided into susceptible and infectious population. We considered the spread of dengue disease in two regions. The mathematical model is analyzed. The steady states are found in the study. The condition for the stability of our steady states is determined from experiments. The numerical solutions are present in the study. The way for controlling dengue transmission is identified and possible solutions are discussed.
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Mathematical model of DF and DHF cases in dengue infection
(2025-10-06)
Pongsumpun, Puntani
Dengue disease is contacted to people by biting of infected Aedes aegypti mosquitoes. The dengue infectious person is separated into dengue fever, dengue hemorrhagic fever and dengue shock syndrome. This study formulates the mathematical model that can be described the transmission of dengue disease. The standard dynamical modelling method is used for analysis our model. The parameters are found for reducing the transmission of dengue disease. The transmission rates of dengue virus, the rate of change from dengue fever to dengue hemorrhagic fever and the recovery rate are influence to the transmission of dengue disease.
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A fractional derivative model of the dynamic of dengue transmission based on seasonal factors in Thailand
(2025-03-15)
Lamwong, Jiraporn
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Pongsumpun, Puntani
Climate variability affects the changes in controlling diseases transferred by insects. An increase in the population, the growth of communities, and a lack of public health infrastructure bring about the return of diseases of which insects are carriers, one of the illness issues. Therefore, the disease control is significant to help reduce the burden on the government and strengthen the country's public health structure. This research proposes a novel approach to modeling dengue fever dynamics, we employ a fractional derivative model with the Atangana–Baleanu–Caputo derivative, which offers a more accurate representation of real-world disease dynamics compared to traditional integer-order models. Basic qualifications are proposed. Equilibrium points and basic reproduction numbers are analyzed. The next-generation matrix method is used to identify the transmission. Besides, parameter sensitivity analysis is performed to learn about factors affecting input parameter values' effects on the basic reproduction number. It was found that the most common parameter affecting the transmission was the biting rate of mosquitoes was 1. In addition, the existence and uniqueness of the solution are examined using the Banach fixed point theorem. The Toufik–Atangana method is used for the numerical examination of a fractional version of the proposed model. We compared different values of fractional-order α=0.965, 0.975, 0.985, 0.995 and 1 it was found that when the order of derivatives decreases, the transmission shall decrease accordingly. This research provides valuable insights for developing effective control strategies to reduce the burden of dengue fever and strengthen public health systems.
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Entomological risk assessment for dengue virus transmission during 2016–2020 in kamphaeng phet, thailand
(2021-10-01)
Fansiri, Thanyalak
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Buddhari, Darunee
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Pathawong, Nattaphol
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Pongsiri, Arissara
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Klungthong, Chonticha
Individual houses with high risks of dengue virus (DENV) transmission might be a source of virus transmission within the neighborhood. We conducted an entomological risk assessment for DENV transmission at the household level, comprising family cohort members residing in the same location, to assess the risk for dengue virus transmitted by mosquito vectors. The studies were conducted in Kamphaeng Phet Province, Thailand, during 2016–2020. Entomological investigations were performed in 35 cohort families on day 1 and day 14 after receiving dengue case reports. DENV was found in 22 Aedes samples (4.9%) out of 451 tested samples. A significantly higher DENV infection rate was detected in vectors collected on day 1 (6.64%) compared to those collected on day 14 (1.82%). Annual vector surveillance was carried out in 732 houses, with 1002 traps catching 3653 Aedes females. The majority of the 13,228 water containers examined were made from plastic and clay, with used tires serving as a primary container, with 59.55% larval abundance. Larval indices, as indicators of dengue epidemics and to evaluate disease and vector control approaches, were calculated. As a result, high values of larval indices indicated the considerably high risk of dengue transmission in these communities.
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Dengue viremia kinetics in asymptomatic and symptomatic infection
(2020-12-01)
Matangkasombut, Ponpan
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Manopwisedjaroen, Kajohnpong
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Pitabut, Nada
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Thaloengsok, Sasikanya
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Suraamornkul, Swangjit
Background: Dengue infection is a global health threat. While symptomatic cases contribute to morbidity and mortality, the majority of infected people are asymptomatic but serve as an important reservoir. However, the kinetics of viremia in asymptomatic infections remains unknown. Methods: We enrolled 279 hospital-based symptomatic index cases and quantified dengue virus (DENV) RNA at enrollment and at the day of defervescence. To identify asymptomatic cases, 175 household members of index cases were monitored for clinical symptoms during follow-up, and blood was taken twice weekly to test for and quantify DENV RNA until cleared. Results: We detected DENV in thirteen asymptomatic household members (7.43%). Their DENV serotypes were primarily the same as those of their family index cases. The median peak DENV viremia in asymptomatic subjects was lower than that of symptomatic individuals during the febrile phase, and the viral decay rate was slower in asymptomatic infections. Conclusions: DENV level and kinetics in asymptomatic individuals differed significantly from those of symptomatic cases. Despite the lower viremia, the slower decay rate in asymptomatic infections could lead to their prolonging the infectious reservoir. The improvement of transmission control to prevent such long-lived asymptomatic infections from transmitting the DENV is needed.
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Major histocompatibility complex class I Chain-related A and B (MICA and MICB) gene, allele, and haplotype associations with dengue infections in ethnic thais
(2020-09-01)
Luangtrakool, Panpimon
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Vejbaesya, Sasijit
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Luangtrakool, Komon
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Ngamhawornwong, Somporn
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Apisawes, Kusuma
Background. Major histocompatibility complex class I chain-related (MIC) A and B (MICA and MICB) are polymorphic stress molecules recognized by natural killer cells. This study was performed to analyze MIC gene profiles in hospitalized Thai children with acute dengue illness. Methods. MIC allele profiles were determined in a discovery cohort of patients with dengue fever or dengue hemorrhagic fever (DHF) (n = 166) and controls (n = 149). A replication cohort of patients with dengue (n = 222) was used to confirm specific MICB associations with disease. Results. MICA*045 and MICB*004 associated with susceptibility to DHF in secondary dengue virus (DENV) infections (odds ratio [OR], 3.22; [95% confidence interval (CI), 1.18-8.84] and 1.99 [1.07-2.13], respectively), and MICB*002 with protection from DHF in secondary DENV infections (OR, 0.41; 95% CI,.21-.68). The protective effect of MICB*002 against secondary DHF was confirmed in the replication cohort (OR, 0.43; 95% CI,.22-.82) and was stronger when MICB*002 is present in individuals also carrying HLA-B*18, B*40, and B*44 alleles which form the B44 supertype of functionally related alleles (0.29, 95% CI,.14-.60). Conclusions. Given that MICB*002 is a low expresser of soluble proteins, these data indicate that surface expression of MICB*002 with B44 supertype alleles on DENV-infected cells confer a protective advantage in controlling DENV infection using natural killer cells.
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What translatable knowledge from dengue vaccine design can we pass onto future anti-parasitic vaccine development?
(2020-04-02)
Srikiatkhachorn, Anon
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Transcriptional and clonal characterization of B cell plasmablast diversity following primary and secondary natural DENV infection
(2020-04-01)
Waickman, Adam T.
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Gromowski, Gregory D.
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Rutvisuttinunt, Wiriya
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Li, Tao
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Siegfried, Hayden
Antibody-mediated humoral immunity is thought to play a central role in mediating the immunopathogenesis of acute DENV infection, but limited data are available on the diversity, specificity, and functionality of the antibody response at the molecular level elicited by primary or secondary DENV infection. In order to close this functional gap in our understanding of DENV-specific humoral immunity, we utilized high-throughput single cell RNA sequencing to investigate B cells circulating in both primary and secondary natural DENV infections. We captured full-length paired immunoglobulin receptor sequence data from 9,027 B cells from a total of 6 subjects, including 2,717 plasmablasts. In addition to IgG and IgM class-switched cells, we unexpectedly found a high proportion of the DENV-elicited plasmablasts expressing IgA, principally in individuals with primary DENV infections. These IgA class-switched cells were extensively hypermutated even in individuals with a serologically confirmed primary DENV infection. Utilizing a combination of conventional biochemical assays and high-throughput shotgun mutagenesis, we determined that DENV-reactive IgA class-switched antibodies represent a significant fraction of DENV-reactive Igs generated in response to DENV infection, and that they exhibit a comparable epitope specificity to DENV-reactive IgG antibodies. These results provide insight into the molecular-level diversity of DENV-elicited humoral immunity and identify a heretofore unappreciated IgA plasmablast response to DENV infection.
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Does Bangkok have a central role in the dengue dynamics of Thailand?
(2020-01-13)
Xu, Zhiwei
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Bambrick, Hilary
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Pongsumpun, Puntani
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Ming Tang, I.
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Yakob, Laith
Background: Bangkok plays a central role in the commerce of Thailand. This study aimed to characterize the district-level spatial-temporal patterns of dengue in Thailand and explore if a dengue peak in Bangkok led the peaks of dengue in other Thai provinces. Methods: Monthly dengue data at district level in Thailand from January 2004 to December 2017 were obtained and used to assess the spatial and seasonal patterns of dengue in Thailand. As our seasonal decomposition and cross-correlation analyses showed that dengue in Bangkok peaked in November, which was a few months after the dengue peak in most other provinces, we used a time-series generalized linear model to explore if there was another province in which the dengue case number was most predictive of dengue case numbers in other Thai provinces. Results: The highest district-level annual dengue incidence rates (per 10,000) in the three time periods (i.e. 2004-2008, 2009-2013 and 2014-2017) were 58.08 (Samphanthawong), 85.93 (Mueang Krabi), and 66.60 (Mae Sariang), respectively. Dengue incidence rates in the western part of Northern Thailand, southern part of Central Thailand, southern part of Eastern Thailand, and Southern Thailand were higher than in other regions. Dengue in most districts of Thailand peaked in June, July or August, but dengue peaks in all districts of Bangkok occurred in November. The number of dengue cases in Nakhon Ratchasima was most predictive of the number of dengue cases in other provinces in Thailand by a one-month lag. Conclusions: Our results suggest that the dengue peak in Bangkok did not lead the peaks of dengue in other Thai provinces. Future research exploring how changes in socio-ecological factors (e.g. road network and climate factors) in Nakhon Ratchasima have affected the transmission of dengue in Thailand might shed some new light on the prevention and control of dengue.

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