Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Rapamycin immunomodulation utilizes time-dependent alterations of lymph node architecture, leukocyte trafficking, and gut microbiome
Long Wu, Allison Kensiski, Samuel J. Gavzy, Hnin Wai Lwin, Yang Song, Michael T. France, Ram Lakhan, Dejun Kong, Lushen Li, Vikas Saxena, Wenji Piao, Marina W. Shirkey, Valeria R. Mas, Bing Ma, Jonathan S. Bromberg
Long Wu, Allison Kensiski, Samuel J. Gavzy, Hnin Wai Lwin, Yang Song, Michael T. France, Ram Lakhan, Dejun Kong, Lushen Li, Vikas Saxena, Wenji Piao, Marina W. Shirkey, Valeria R. Mas, Bing Ma, Jonathan S. Bromberg
View: Text | PDF
Research Article Immunology Microbiology

Rapamycin immunomodulation utilizes time-dependent alterations of lymph node architecture, leukocyte trafficking, and gut microbiome

  • Text
  • PDF
Abstract

Transplant recipients require lifelong, multimodal immunosuppression to prevent rejection by reducing alloreactive immunity. Rapamycin is known to modulate adaptive and innate immunity, but its full mechanism remains incompletely understood. We investigated the understudied effects of rapamycin on lymph node (LN) architecture, leukocyte trafficking, and gut microbiome and metabolism after 3 (early), 7 (intermediate), and 30 (late) days of rapamycin treatment. Rapamycin significantly reduced CD4+ T cells, CD8+ T cells, and Tregs in peripheral LNs, mesenteric LNs, and spleen. Rapamycin induced early proinflammation transition to protolerogenic status by modulating the LN laminin α4/α5 expression ratios (La4/La5) through LN stromal cells, laminin α5 expression, and adjustment of Treg numbers and distribution. Additionally, rapamycin shifted the Bacteroides/Firmicutes ratio and increased amino acid bioavailability in the gut lumen. These effects were evident by 7 days and became most pronounced by 30 days in naive mice, with changes as early as 3 days in allogeneic splenocyte-stimulated mice. These findings reveal what we believe to be a novel mechanism of rapamycin action through time-dependent modulation of LN architecture and gut microbiome, which orchestrates changes in immune cell trafficking, providing a framework for understanding and optimizing immunosuppressive therapies.

Authors

Long Wu, Allison Kensiski, Samuel J. Gavzy, Hnin Wai Lwin, Yang Song, Michael T. France, Ram Lakhan, Dejun Kong, Lushen Li, Vikas Saxena, Wenji Piao, Marina W. Shirkey, Valeria R. Mas, Bing Ma, Jonathan S. Bromberg

×

Usage data is cumulative from July 2025 through July 2026.

Usage JCI PMC
Text version 3,352 285
PDF 482 85
Figure 1,596 0
Supplemental data 866 6
Citation downloads 277 0
Totals 6,573 376
Total Views 6,949

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.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts