ArticleAnnals of surgical treatment and research2015
Noninvasive monitoring of mouse renal allograft rejection using micro-CT.
Article in Annals of surgical treatment and research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Can mouse kidney transplant models inform mechanisms of injury and acceptance in clinical kidney transplantation?American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Review
- Clinical and experimental approaches for imaging of acute kidney injury.Clinical and experimental nephrology · 2021Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAcute renal graft rejection can only be definitively diagnosed by renal biopsy. However, biopsies carry a risk of renal transplant injury and loss. Micro-CT is widely used in preclinical studies of small animals. Here, we propose micro-CT could noninvasively monitor and evaluate renal location and function in a mouse kidney transplant model.
methodsOrthotopic kidney transplantation was performed in a BALB/c -to- C57BL/6j or C57BL/6j-to- C57BL/6j mouse model. After optimizing imaging techniques, five mice were imaged with micro-CT and the findings were verified histologically.
resultsMicro-CT can monitor and evaluate renal location and function after orthotopic kidney transplantation. There were no mice deaths while renal transplants were failure.
conclusionWe propose that graft micro-CT imaging is a new option that is noninvasive and specific, and can aid in early detection and follow-up of acute renal rejection. This method is potentially useful to improve posttransplant rejection monitoring.
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Registered trials
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