Evidence map›Paper›PMID 41993203›Full record

ArticleFrontiers in immunology2026

Profiling of plasma exosome cytokines as biomarkers of severe dengue.

Chien-Tai Hong, Li-Teh Liu, Po-Chih Chen, Chun-Hong Chen, Ching-Yi Tsai, Ping-Chang Lin, Miao-Chen Hsu, Jih-Jin Tsai

Abstract read
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Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Chien-Tai HongDepartment of Neurology, Taipei Medical University-Shuang Ho Hospital, New Taipei, Taiwan.
Li-Teh LiuDepartment of Medical Laboratory Science and Biotechnology, College of Medical Technology, Chung Hwa University of Medical Technology, Tainan, Taiwan.
Po-Chih ChenDepartment of Laboratory Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Chun-Hong ChenNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Miaoli City, Taiwan.
Ching-Yi TsaiTropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Ping-Chang LinTropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Miao-Chen HsuTropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.
Jih-Jin TsaiTropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dengue is a global health threat, with severe cases causing significant complications. Cytokines have been proposed as potential indicators of disease severity; however, the short plasma half-life and pre-analytical instability of free-form cytokines limit their clinical applicability. Exosome-encapsulated cytokines are protected by a lipid bilayer and may provide a more stable and integrated representation of host immune responses. Methods: In this cross-sectional study, we analyzed single time-point plasma samples collected from patients during clinical evaluation between July and December 2023, with most samples obtained during the acute phase (within 7 days post-symptom onset). Plasma exosomes were isolated from patients with mild dengue, dengue with warning signs (DFWS), severe dengue (SD), other febrile illnesses, and healthy controls (HCs). Exosome-associated cytokines were quantified using a multiplex panel assessing 15 cytokines. Results: Across the five study groups, significant differences in plasma exosome cytokine levels were observed for interleukin (IL)-1β, IL-6, IL-10, IL-12, interferon-γ (IFN-γ), and tumor necrosis factor (TNF)-α (all p < 0.05). Post-hoc analyses further demonstrated that IL-6, IL-10, and TNF-α levels were significantly higher in both the DFWS and SD groups compared with HCs (all p < 0.01). In a subsequent analysis comparing mild dengue with the combined DFWS/SD group, significantly higher exosomal levels of IL-1β, IL-5, IL-10, IL-12, IL-13, and TNF-α were observed in the DFWS/SD group (all p < 0.05). Receiver operating characteristic (ROC) analysis showed that IL-1β, IL-10, and TNF-α moderately discriminated mild from severe cases, with area under the curve (AUC) values of approximately 0.7. An "all-positive" panel (TNF-α, IL-10, and IL-1β) achieved 84% sensitivity and 67.5% specificity for identifying DFWS/SD. Conclusion: These findings suggest that combined exosomal cytokine profiling may aid in disease severity stratification. However, given the cross-sectional design and moderate discriminatory performance, larger prospective studies are needed to validate its clinical applicability.

Indexed as

CytokinesExosomesSevere DengueAdultBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedROC CurveSeverity of Illness IndexBiomarkersCytokinesbiomarkercytokinedengue feverexosomesevere dengue

Identifiers

PMID41993203
PMCPMC13079002

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.