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Cited by 267

The DOI matches its Crossref record; 84 of the 84 references it cites were found in a registry or an index.

Immune-mediated cytokine storm and its role in severe dengue

Open access
Srikiatkhachorn, Anon, Mathew, Anuja, Rothman, Alan L.·2017·Seminars in Immunopathology

Abstract

Dengue remains one of the most important mosquito-borne diseases worldwide. Infection with one of the serologically related dengue viruses (DENVs) can lead to a wide range of clinical manifestations and severity. Severe dengue is characterized by plasma leakage and abnormal bleeding that can lead to shock and death. There is currently no specific treatment for severe dengue due to gaps in understanding of the underlying mechanisms. The transient period of vascular leakage is usually followed by a rapid recovery and is suggestive of the effects of short-lived biological mediators. Both the innate and the adaptive immune systems are activated in severe dengue and contribute to the cytokine production. We discuss the immunological events elicited during a DENV infection and identify candidate cytokines that may play a key role in the severe manifestations of dengue and possible interventions.

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Metadata

Authors
Srikiatkhachorn, A., Mathew, A., & Rothman, A. L.
Venue
Seminars in Immunopathology
Published
2017-04-11
Volume
39
Issue
5
Pages
563-574
ISSN
  • 1863-2297 (ISSN-L)
  • 1863-2300
OpenAlex
W2607074353
Cited by
267
References
84
FWCI
16.50
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Immune-mediated cytokine storm and its role in severe dengue. https://app.cochat.ai/papers/10.1007/s00281-017-0625-1
The paper
Srikiatkhachorn, A., Mathew, A., & Rothman, A. L. (2017). Immune-mediated cytokine storm and its role in severe dengue. Seminars in Immunopathology. https://doi.org/10.1007/s00281-017-0625-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.