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Usage Information

HTLV-1 induces an inflammatory CD4+CD8+ T cell population in HTLV-1–associated myelopathy
Allison K. Maher, Aris Aristodemou, Nicolas Giang, Yuetsu Tanaka, Charles R.M. Bangham, Graham P. Taylor, Margarita Dominguez-Villar
Allison K. Maher, Aris Aristodemou, Nicolas Giang, Yuetsu Tanaka, Charles R.M. Bangham, Graham P. Taylor, Margarita Dominguez-Villar
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Research Article Immunology

HTLV-1 induces an inflammatory CD4+CD8+ T cell population in HTLV-1–associated myelopathy

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Abstract

Human T cell leukemia virus type 1 (HTLV-1) is a retrovirus with preferential CD4+ T cell tropism that causes a range of conditions spanning from asymptomatic infection to adult T cell leukemia and HTLV-1–associated myelopathy (HAM), an inflammatory disease of the CNS. The mechanisms by which HTLV-1 induces HAM are poorly understood. By directly examining the ex vivo phenotype and function of T cells from asymptomatic carriers and patients with HAM, we show that patients with HAM have a higher frequency of CD4+CD8+ double-positive (DP) T cells, which are infected with HTLV-1 at higher rates than CD4+ T cells. Displaying both helper and cytotoxic phenotypes, these DP T cells are highly proinflammatory and contain high frequencies of HTLV-1–specific cells. Mechanistically, we demonstrate that DP T cells arise by direct HTLV-1 infection of CD4+ and CD8+ T cells. High levels of CD49d and CXCR3 expression suggest that DP T cells possess the ability to migrate to the CNS, and when cocultured with astrocytes, DP T cells induce proinflammatory astrocytes that express high levels of CXCL10, IFN-γ, and IL-6. These results demonstrate the potential of DP T cells to directly contribute to CNS pathology.

Authors

Allison K. Maher, Aris Aristodemou, Nicolas Giang, Yuetsu Tanaka, Charles R.M. Bangham, Graham P. Taylor, Margarita Dominguez-Villar

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 2,265 196
PDF 291 50
Figure 1,117 2
Supplemental data 207 7
Citation downloads 299 0
Totals 4,179 255
Total Views 4,434

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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