Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • 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
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Impact of older donor age in kidney transplants in a biopsy-based observational study
Katelynn Madill-Thomsen, et al.
Katelynn Madill-Thomsen, et al.
View: Text | PDF
Clinical Research and Public Health In-Press Preview Clinical Research Nephrology

Impact of older donor age in kidney transplants in a biopsy-based observational study

  • Text
  • PDF
Abstract

Because older donor age is a major concern when considering kidneys for potential transplantation, we explored the actual impact of donor age on the features of kidneys that have been transplanted. We studied the correlations of donor age with molecular injury and rejection scores in 4502 kidney transplant biopsies assessed by microarrays, as well as function and postbiopsy survival. We used multivariable analyses to correct for the correlations of donor age with other predictive variables: recipient age, time of biopsy posttransplant, and deceased vs. living donors. Older donor age correlated with lower GFR and increased acute and chronic injury transcripts, but had no effect on rejection, which anti-correlated with recipient age. Acute injury transcripts peaked immediately posttransplant and regressed. Older donor age had little effect on acute molecular injury immediately posttransplant but strongly increased molecular injury scores at later times, peaking about 1-year posttransplant, indicating that older age does not increase molecular injury but increases failed repair post-injury. As expected, older donor age correlated with increased chronic injury and lower GFR, evident from the earliest time posttransplant, pre-transplant aging. However, despite significant age-related effects, the quantitative contribution of donor aging to molecular injury, function, and survival was very small.

Authors

Katelynn Madill-Thomsen, Martina Mackova, Jessica Chang, Enver Akalin, Tarek Alhamad, Sanjiv Anand, Miha Arnol, Rajendra Baliga, Mirosław Banasik, Christopher Blosser, Georg Böhmig, Daniel Brennan, Jonathan Bromberg, Klemens Budde, Andrzej Chamienia, Kevin V Chow, Michał Ciszek, Declan de Freitas, Dominika Dęborska-Materkowska, Alicja Dębska-Ślizień, Arjang Djamali, Leszek Domański, Magdalena Durlik, Gunilla Einecke, Farsad Eskandary, Richard Fatica, Iman Bajjoka-Francis, Justyna Fryc, John Gill, Jagbir Gill, Maciej Glyda, Sita Gourishankar, Marta Gryczman, Gaurav Gupta, Petra Hruba, Peter Hughes, Arskarapuk Jittirat, Zeljka Jurekovic, Layla Kamal, Mahmoud Kamel, Sam Kant, Nika Kojc, Joanna Konopa, James Lan, Roslyn Mannon, Arthur Matas, Joanna Mazurkiewicz, Marius Miglinas, Thomas Mueller, Marek Myślak, Beata Naumnik, Anita Patel, Agnieszka Perkowska-Ptasińska, Michael Picton, Grzegorz Piecha, Emillio Poggio, Silvie Rajnochova Bloudickova, Thomas Schachtner, Sung Shin, Soroush Shojai, Majid Sikosana, Janka Slatinská, Katarzyna Smykal-Jankowiak, Ashish Solanki, Zeljka Veceric Haler, Ondrej Viklicky, Ksenija Vucur Simic, Matthew R. Weir, Andrzej Wiecek, Zbigniew Włodarczyk, Ziad Zaky, Philip F. Halloran

×

Usage data is cumulative from May 2026 through May 2026.

Usage JCI PMC
Text version 110 0
PDF 53 0
Supplemental data 12 0
Citation downloads 15 0
Totals 190 0
Total Views 190

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