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Understanding the heterogeneity of alloreactive natural killer cell function in kidney transplantation.
Ruan, Dan Fu; Fribourg, Miguel; Yuki, Yuko; Park, Yeon-Hwa; Martin, Maureen; Kelly, Geoffrey; Lee, Brian; Miguel de Real, Ronaldo; Lee, Rachel; Geanon, Daniel; Kim-Schulze, Seunghee; McCarthy, Melissa; Chun, Nicholas; Cravedi, Paolo; Carrington, Mary; Heeger, Peter S; Horowitz, Amir.
Afiliación
  • Ruan DF; Department of Immunology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Fribourg M; Department of Oncological Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Yuki Y; The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Park YH; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Martin M; The Marc and Jennifer Lipschultz Precision Immunology Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Kelly G; Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Lee B; Division of Nephrology, Department of Medicine, Translational Transplant Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
  • Miguel de Real R; Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
  • Lee R; Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute Frederick, MD, USA.
  • Geanon D; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Kim-Schulze S; Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
  • McCarthy M; Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute Frederick, MD, USA.
  • Chun N; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Cravedi P; Ragon Institute of MGH, MIT and Harvard, Cambridge, MA, USA.
  • Carrington M; Basic Science Program, Frederick National Laboratory for Cancer Research, National Cancer Institute Frederick, MD, USA.
  • Heeger PS; Laboratory of Integrative Cancer Immunology, Center for Cancer Research, National Cancer Institute, Bethesda, MD, USA.
  • Horowitz A; Human Immune Monitoring Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
bioRxiv ; 2023 Sep 05.
Article en En | MEDLINE | ID: mdl-37732256
ABSTRACT
Human Natural Killer (NK) cells are heterogeneous lymphocytes regulated by variegated arrays of germline-encoded activating and inhibitory receptors. They acquire the ability to detect polymorphic self-antigen via NKG2A/HLA-E or KIR/HLA-I ligand interactions through an education process. Correlations among HLA/KIR genes, kidney transplantation pathology and outcomes suggest that NK cells participate in allograft injury, but mechanisms linking NK HLA/KIR education to antibody-independent pathological functions remain unclear. We used CyTOF to characterize pre- and post-transplant peripheral blood NK cell phenotypes/functions before and after stimulation with allogeneic donor cells. Unsupervised clustering identified unique NK cell subpopulations present in varying proportions across patients, each of which responded heterogeneously to donor cells based on donor ligand expression patterns. Analyses of pre-transplant blood showed that educated, NKG2A/KIR-expressing NK cells responded greater than non-educated subsets to donor stimulators, and this heightened alloreactivity persisted > 6 months post-transplant despite immunosuppression. In distinct test and validation sets of patients participating in two clinical trials, pre-transplant donor-induced release of NK cell Ksp37, a cytotoxicity mediator, correlated with 2-year and 5-year eGFR. The findings explain previously reported associations between NK cell genotypes and transplant outcomes and suggest that pre-transplant NK cell analysis could function as a risk-assessment biomarker for transplant outcomes.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos