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Usage Information

Identification of the CD4+ T cell as a major pathogenic factor in ischemic acute renal failure
Melissa J. Burne, Frank Daniels, Asmaa El Ghandour, Shamila Mauiyyedi, Robert B. Colvin, Michael P. O’Donnell, Hamid Rabb
Melissa J. Burne, Frank Daniels, Asmaa El Ghandour, Shamila Mauiyyedi, Robert B. Colvin, Michael P. O’Donnell, Hamid Rabb
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Article

Identification of the CD4+ T cell as a major pathogenic factor in ischemic acute renal failure

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Abstract

Leukocytes have been implicated in the pathogenesis of ischemic acute renal failure (ARF), but the roles of the individual cell types involved are largely unknown. Recent indirect evidence suggests that T cells may play an important role in a murine model of ARF. In the current study, we found that mice deficient in T cells (nu/nu mice) are both functionally and structurally protected from postischemic renal injury. Reconstitution of nu/nu mice with wild-type T cells restored postischemic injury. We then analyzed the contribution of the individual T cell subsets to postischemic injury and found that mice deficient in CD4+ T cells, but not mice deficient in CD8+ T cells, were significantly protected from ARF. Direct evidence for a pathophysiologic role of the CD4+ T cell was obtained when reconstitution of CD4-deficient mice with wild-type CD4+ T cells restored postischemic injury. In addition, adoptive transfers of CD4+ T cells lacking either the costimulatory molecule CD28 or the ability to produce IFN-γ were inadequate to restore injury phenotype. These results demonstrate that the CD4+ T cell is an important mediator of ischemic ARF, and targeting this cell may yield novel therapies.

Authors

Melissa J. Burne, Frank Daniels, Asmaa El Ghandour, Shamila Mauiyyedi, Robert B. Colvin, Michael P. O’Donnell, Hamid Rabb

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Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 1,465 55
PDF 214 24
Figure 1,283 27
Citation downloads 213 0
Totals 3,175 106
Total Views 3,281
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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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ISSN: 0021-9738 (print), 1558-8238 (online)

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