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Cited by 494

The DOI matches its Crossref record; 174 of the 174 references it cites were found in a registry or an index.

The CCR5 and CXCR4 Coreceptors—Central to Understanding the Transmission and Pathogenesis of Human Immunodeficiency Virus Type 1 Infection

Moore, John P., Kitchen, Scott G., Pugach, Pavel, Zack, Jerome A.·2004·AIDS Research and Human Retroviruses

Abstract

In this review, we will discuss what is known, what is suspected, and what still remains obscure about the central role played by coreceptor expression and usage in the transmission and pathogenic consequences of human immunodeficiency virus type 1 (HIV-1) infection. An emphasis will be on the HIV-1 phenotypic variants that are defined by their usage of the CCR5 or CXCR4 coreceptors, and how the different cellular tropism of these variants influences how and where HIV-1 replicates in vivo. We will also review what might happen when coreceptor antagonists are used clinically to treat HIV-1 infection.

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Registry

Crossref · 10.1089/088922204322749567

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Metadata

Authors
Moore, J. P., Kitchen, S. G., Pugach, P., & Zack, J. A.
Venue
AIDS Research and Human Retroviruses
Published
2004-01
Volume
20
Issue
1
Pages
111-126
ISSN
  • 0889-2229 (ISSN-L)
  • 1931-8405
OpenAlex
W1966261980
Cited by
494
References
174
FWCI
12.62
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The CCR5 and CXCR4 Coreceptors—Central to Understanding the Transmission and Pathogenesis of Human Immunodeficiency Virus Type 1 Infection. https://app.cochat.ai/papers/10.1089/088922204322749567
The paper
Moore, J. P., Kitchen, S. G., Pugach, P., & Zack, J. A. (2004). The CCR5 and CXCR4 Coreceptors—Central to Understanding the Transmission and Pathogenesis of Human Immunodeficiency Virus Type 1 Infection. AIDS Research and Human Retroviruses. https://doi.org/10.1089/088922204322749567

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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.