Language
English
Publication Date
6-1-2024
DOI
10.1097/TP.0000000000004946
PMID
38409732
PMCID
PMC11136603
PubMedCentral® Posted Date
6-1-2025
PubMedCentral® Full Text Version
Author MSS
Abstract
Background: Corneal transplantation is the most common transplant procedure worldwide. Despite immune and angiogenic privilege of the cornea, 50% to 70% of corneal transplants fail in high-risk recipients, primarily because of immune rejection. Therefore, it is crucial to identify predictive biomarkers of rejection to improve transplant survival.
Methods: In search for predictive biomarkers, we performed proteomics analysis of serum extracellular vesicles (EVs) in a fully major histocompatibility complex-mismatched (C57BL/6-to-BALB/c) murine corneal transplantation model, wherein 50% of transplants undergo rejection by day 28 following transplantation.
Results: Our time course study revealed a decrease in the number of serum EVs on day 1, followed by a gradual increase by day 7. A comparative analysis of proteomics profiles of EVs from transplant recipients with rejection (rejectors) and without rejection (nonrejectors) found a distinct enrichment of histocompatibility 2, Q region locus 2, which is a part of major histocompatibility complex-class I of donor C57BL/6 mice, in day 7 EVs of rejectors, compared with nonrejectors, syngeneic controls, or naïve mice. In contrast, serum amyloid A2, a protein induced in response to injury, was increased in day 7 EVs of nonrejectors.
Conclusions: Our findings offer noninvasive EV-based potential biomarkers for predicting corneal allograft rejection or tolerance.
Keywords
Graft Rejection, Animals, Extracellular Vesicles, Mice, Inbred C57BL, Biomarkers, Corneal Transplantation, Proteomics, Mice, Inbred BALB C, Mice, Graft Survival, Disease Models, Animal, Predictive Value of Tests, Male
Published Open-Access
yes
Recommended Citation
Lee, Hyun Ju; Bae, Eun-Hye; Choi, Jong Min; et al., "Serum Extracellular Vesicle Protein Profiling for Prediction of Corneal Transplant Rejection" (2024). Faculty and Staff Publications. 4996.
https://digitalcommons.library.tmc.edu/baylor_docs/4996
Included in
Health Services Research Commons, Medical Cell Biology Commons, Medical Molecular Biology Commons, Medical Specialties Commons, Microbiology Commons