B-cell-related biomarkers of tolerance are up-regulated in rejection-free kidney transplant recipients
Language English Country United States Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
- MeSH
- B-Lymphocytes immunology MeSH
- Biomarkers MeSH
- Adult MeSH
- Forkhead Transcription Factors analysis MeSH
- Immune Tolerance * MeSH
- Middle Aged MeSH
- Humans MeSH
- Prospective Studies MeSH
- Proto-Oncogene Proteins genetics MeSH
- Graft Rejection * MeSH
- Aged MeSH
- Gene Expression Profiling MeSH
- Kidney Transplantation immunology MeSH
- Up-Regulation MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Biomarkers MeSH
- Forkhead Transcription Factors MeSH
- FOXP3 protein, human MeSH Browser
- Proto-Oncogene Proteins MeSH
- TCL1A protein, human MeSH Browser
BACKGROUND: Molecular signatures have recently been identified in operationally tolerant long-term kidney transplant patients; however, their expression in patients on immunosuppression remains unclear. METHODS: In this prospective study, the gene expression profiles of eight selected tolerance-associated genes (MS4A1, CD79B, TCL1A, TMEM176B, FOXP3, TOAG-1, MAN1A1, and TLR5) in the peripheral blood of 67 kidney transplant recipients at days 0, 7, 14, 21, 28, 60, 90, and at 6 and 12 months, and in graft biopsies were measured. Similarly, using flow cytometry, CD45CD19CD3 B-cell counts were evaluated in the follow-up. Expression patterns were compared among patients with biopsy-proven acute rejection, borderline changes, and in rejection-free patients. A generalized linear mixed model with gamma distribution for repeated measures adjusted for induction therapy was used for statistical analysis of longitudinal data and Kruskal-Wallis test for case biopsy data. RESULTS: Compared to patients with rejection, a significantly higher number of peripheral B cells were observed during follow-up in rejection-free patients and in patients with borderline changes. Gene expression patterns of MS4A1 (CD20), TCL1A, CD79B, TOAG-1, and FOXP3 genes were significantly higher in rejection-free patients as compared to rejection group with the highest differences during the first 3 months. In contrast, TMEM176B (TORID) was up-regulated in the rejection group. Similar trends were also observed between patients with borderline changes and acute rejection. Higher intragraft expression of TOAG-1 was observed in rejection-free patients. CONCLUSIONS: These observations suggest an association of B-cell signatures, seen also in drug-free tolerant patients, with controlled alloimmune response.
References provided by Crossref.org
Novel transcriptomic signatures associated with premature kidney allograft failure
Are we ready to implement non-invasive tests to detect allograft rejection in a daily praxis?
Molecular diagnostics identifies risks for graft dysfunction despite borderline histologic changes