Models of lung transplant research: A consensus statement from the National Heart, Lung, and Blood Institute workshop

Vibha N. Lama, John A. Belperio, Jason D. Christie, Souheil El-Chemaly, Michael C. Fishbein, Andrew E. Gelman, Wayne W. Hancock, Shaf Keshavjee, Daniel Kreisel, Victor E. Laubach, Mark R. Looney, John F. McDyer, Thalachallour Mohanakumar, Rebecca A. Shilling, Angela Panoskaltsis-Mortari, David S. Wilkes, Jerry P. Eu, Mark R. Nicolls

Research output: Contribution to journalArticlepeer-review

49 Scopus citations

Abstract

Lung transplantation, a cure for a number of end-stage lung diseases, continues to have the worst long-term outcomes when compared with other solid organ transplants. Preclinical modeling of the most common and serious lung transplantation complications are essential to better understand and mitigate the pathophysiological processes that lead to these complications. Various animal and in vitro models of lung transplant complications now exist and each of these models has unique strengths. However, significant issues, such as the required technical expertise as well as the robustness and clinical usefulness of these models, remain to be overcome or clarified. The National Heart, Lung, and Blood Institute (NHLBI) convened a workshop in March 2016 to review the state of preclinical science addressing the three most important complications of lung transplantation: primary graft dysfunction (PGD), acute rejection (AR), and chronic lung allograft dysfunction (CLAD). In addition, the participants of the workshop were tasked to make consensus recommendations on the best use of these complimentary models to close our knowledge gaps in PGD, AR, and CLAD. Their reviews and recommendations are summarized in this report. Furthermore, the participants outlined opportunities to collaborate and directions to accelerate research using these preclinical models.

Original languageEnglish (US)
Article numbere93121
JournalJCI Insight
Volume2
Issue number9
DOIs
StatePublished - May 4 2017

Bibliographical note

Funding Information:
This work was supported by the following NIH grants: HL095686, HL108797 (MRN), HL13027501 (Souheil El-Chemaly), HL109310 (RAS), HL118017 (VNL), HL094622 (VNL), HL119218, HL130053, HL133293 (VEL), HL092514 (TM), HL112990, and Al113315 (JAB). The authors gratefully acknowledge the support of the NHLBI at the NIH for providing assistance in coordinating this workshop and reviewing this document.

Publisher Copyright:
© 2017 American Society for Clinical Investigation. All rights reserved.

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