Literature DB >> 30983050

Predictive biomarkers for graft rejection in pig-to-non-human primate corneal xenotransplantation.

Chang Ho Yoon1,2, Se Hyun Choi1,2, Hyun Ju Lee2, Hee Jung Kang3, Mee Kum Kim1,2.   

Abstract

We investigated the predictive biomarkers for graft rejection in pig-to-non-human primate (NHP) full-thickness corneal xenotransplantation (n = 34). The graft score (0-12) was calculated based on opacity, edema, and vascularization. Scores ≥ 6 were defined as rejection. NHPs were divided into two groups: (a) graft rejection within 6 months; and (b) graft survival until 6 months. In the evaluation of 2-week biomarkers, none of the NHPs showed rejection within 2 weeks and the 34 NHPs were divided into two groups: (a) entire rejection group (n = 16); and (b) survival group (n = 18). In the evaluation of 4-week biomarkers, four NHPs showing rejection within 4 weeks were excluded and the remaining 30 NHPs were divided into two groups: (a) late rejection group (n = 12); and (b) survival group (n = 18). Analysis of biomarker candidates included T/B-cell subsets, levels of anti-αGal IgG/M, donor-specific IgG/M from blood, and C3a from plasma and aqueous humor (AH). CD8+ IFNγ+ cells at week 2 and AH C3a at week 4 were significantly elevated in the rejection group. Receiver operating characteristic areas under the curve was highest for AH C3a (0.847) followed by CD8+ IFNγ+ cells (both the concentration and percentage: 0.715), indicating excellent or acceptable discrimination ability, which suggests that CD8+ IFNγ+ cells at week 2 and AH C3a at week 4 are reliable biomarkers for predicting rejection in pig-to-NHP corneal xenotransplantation.
© 2019 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  C3a; CD8+IFNγ+ cells; biomarker; cornea; rejection; transplantation; xenotransplantation

Mesh:

Substances:

Year:  2019        PMID: 30983050      PMCID: PMC6717035          DOI: 10.1111/xen.12515

Source DB:  PubMed          Journal:  Xenotransplantation        ISSN: 0908-665X            Impact factor:   3.907


  33 in total

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