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Individualized management of immunosuppressants in liver transplant recipients by using a novel immune score system.

Authors :
Zhu JQ
Zhou L
Kou JT
Ding C
Jia YN
Wang RL
He Q
Li XL
Source :
American journal of translational research [Am J Transl Res] 2024 Apr 15; Vol. 16 (4), pp. 1353-1365. Date of Electronic Publication: 2024 Apr 15 (Print Publication: 2024).
Publication Year :
2024

Abstract

Background: There is no reliable means to evaluate the immune status of liver transplant recipients. We proposed a novel score model, namely Mingdao immune cell analysis and Mingdao immune score system, to quantify the immunity.<br />Methods: Data from those who underwent a single liver transplant between January 2017 and June 2020 at Beijing Chaoyang Hospital, were collected. In addition, healthy volunteers were also enrolled. The score model was based on the immune cell populations determined by flow cytometry.<br />Results: There were a total of 376 healthy controls with 376 tests and 148 liver transplant recipients with 284 tests in this study. Evaluated by Mingdao immune cell analysis and Mingdao immune score system, the mean scores of healthy controls were near zero suggesting a balanced immune system. In contrast, the mean scores of liver transplant recipients were negative both before and after surgery indicating a compromised immune system. When liver transplant recipients were given a reduced or routine first dose according to their preoperative score, they had similar recovery of liver function. Moreover, liver transplant recipients with increased scores ≥ 5 were associated with elevated aspartate transaminase and alanine amiotransferase. Finally, on multivariate analysis the score model was the only significant independent risk factor for clinical acute rejection (P = 0.021; Odds ratio, 0.913; 95% confidence interval, 0.845-0.987).<br />Conclusion: The novel score model could be used as an indicator to reflect immunity and to regulate immunosuppressants in liver transplant recipients after surgery.<br />Competing Interests: None.<br /> (AJTR Copyright © 2024.)

Details

Language :
English
ISSN :
1943-8141
Volume :
16
Issue :
4
Database :
MEDLINE
Journal :
American journal of translational research
Publication Type :
Academic Journal
Accession number :
38715836
Full Text :
https://doi.org/10.62347/GHKH4280