Standardizing training protocol of an intestinal transplantation model: A learning curve study

Rodent models of intestinal transplantation are crucial for advancing our understanding of various biological processes related to the procedure, including ischemia-reperfusion injury, acute cellular rejection and immunological tolerance, among others. These models also provide a platform for developing strategies and therapeutics aimed at improving long-term survival, with the ultimate goal of translating laboratory findings into clinical applications. With over twenty years of experience in intestinal transplantation in rodents, our team currently achieves a survival rate of 83 % in orthotopic transplants and 85 % in heterotopic transplants-success rates comparable to those reported by leading research groups in the field. This manuscript outlines the key steps involved in achieving successful results in rat intestinal transplantation models. It covers the entire process, from basic microsurgical training and graft procurement to implantation and postoperative care of the recipient. We hope this work will serve as a valuable guide for research groups seeking to establish these experimental transplantation models in their own laboratories.

Authors

Institutions

Publication Details

Journal
Intestinal failure.
Published
2025-01-01
DOI
https://doi.org/10.1016/j.intf.2025.100060
Primary Topic
Clinical Nutrition and Gastroenterology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Standardizing training protocol of an intestinal transplantation model: A learning curve study

Pablo Stringa, Gabriel Eduardo Gondolesi, José Moreira, Juan Cruz Abate et al.
Intestinal failure.
Clinical Nutrition and Gastroenterology
article

Standardizing training protocol of an intestinal transplantation model: A learning curve study

Pablo Stringa, Gabriel Eduardo Gondolesi, José Moreira, Juan Cruz Abate, Natalia Lausada, J. Clemente Raimondi, F Hernández, J. Azpiroz, Ane Miren Andrés Moreno
article en

Abstract

Rodent models of intestinal transplantation are crucial for advancing our understanding of various biological processes related to the procedure, including ischemia-reperfusion injury, acute cellular rejection and immunological tolerance, among others. These models also provide a platform for developing strategies and therapeutics aimed at improving long-term survival, with the ultimate goal of translating laboratory findings into clinical applications. With over twenty years of experience in intestinal transplantation in rodents, our team currently achieves a survival rate of 83 % in orthotopic transplants and 85 % in heterotopic transplants-success rates comparable to those reported by leading research groups in the field. This manuscript outlines the key steps involved in achieving successful results in rat intestinal transplantation models. It covers the entire process, from basic microsurgical training and graft procurement to implantation and postoperative care of the recipient. We hope this work will serve as a valuable guide for research groups seeking to establish these experimental transplantation models in their own laboratories.

Intestinal failure.Vol. 5
Consejo Nacional de Investigaciones Científicas y Técnicas (AR), Georgetown University (US), Favaloro University (AR), Hospital Universitario La Paz (ES), MedStar Georgetown University Hospital (US), Instituto de Física La Plata (AR), Hospital Italiano La Plata (AR), Fairchild Semiconductor (United States) (US), Universidad Nacional de La Plata (AR)
Zero hunger
Openalex Percentile: Top 85%
Clinical Nutrition and Gastroenterology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.