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Dengue Virus Pathogenesis: an Integrated View

Open access
Martina, Byron E. E., Koraka, Penelope, Osterhaus, Albert D. M. E.·2009·Clinical Microbiology Reviews

Abstract

SUMMARY: Much remains to be learned about the pathogenesis of the different manifestations of dengue virus (DENV) infections in humans. They may range from subclinical infection to dengue fever, dengue hemorrhagic fever (DHF), and eventually dengue shock syndrome (DSS). As both cell tropism and tissue tropism of DENV are considered major determinants in the pathogenesis of dengue, there is a critical need for adequate tropism assays, animal models, and human autopsy data. More than 50 years of research on dengue has resulted in a host of literature, which strongly suggests that the pathogenesis of DHF and DSS involves viral virulence factors and detrimental host responses, collectively resulting in abnormal hemostasis and increased vascular permeability. Differential targeting of specific vascular beds is likely to trigger the localized vascular hyperpermeability underlying DSS. A personalized approach to the study of pathogenesis will elucidate the basis of individual risk for development of DHF and DSS as well as identify the genetic and environmental bases for differences in risk for development of severe disease.

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Metadata

Authors
Martina, B. E. E., Koraka, P., & Osterhaus, A. D. M. E.
Venue
Clinical Microbiology Reviews
Published
2009-10
Volume
22
Issue
4
Pages
564-581
ISSN
  • 0893-8512 (ISSN-L)
  • 1098-6618
OpenAlex
W2132316389
Cited by
1,053
References
4
FWCI
29.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Dengue Virus Pathogenesis: an Integrated View. https://app.cochat.ai/papers/10.1128/cmr.00035-09
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Martina, B. E. E., Koraka, P., & Osterhaus, A. D. M. E. (2009). Dengue Virus Pathogenesis: an Integrated View. Clinical Microbiology Reviews. https://doi.org/10.1128/cmr.00035-09

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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.