Literature DB >> 34174468

Neither Donor nor Recipient Mitochondrial Haplotypes Are Associated with Unrelated Donor Transplant Outcomes: A Validation Study from the CIBMTR.

Logan G Spector1, Stephen R Spellman2, Bharat Thyagarajan3, Kenneth B Beckman4, Cody Hoffmann4, John Garbe4, Theresa Hahn5, Lara Sucheston-Campbell6, Michaela Richardson7, Todd E De For8, Jakub Tolar8, Michael R Verneris9.   

Abstract

Graft-versus-host-disease (GVHD) is a multistep process that involves T-cell recognition and priming toward alloantigen, expansion, acquisition of effector function, and repeated tissue injury, resulting in clinical manifestations of the disease. All of these processes have considerable metabolic demands and understanding the key role of mitochondria in cellular metabolism as it relates to GVHD has increased significantly. Mitochondrial DNA (mtDNA) haplotypes have been linked to functional differences in vitro, suggesting they have functional differences at an organismal level. We previously used mtDNA typing to assess the impact of mtDNA haplotypes on outcomes of ~400 allo-HCT patients. This pilot study identified uncommon mtDNA haplotypes potentially associated with inferior outcomes. We sought to validate pilot findings of associations between donor and recipient mitochondrial haplotypes and transplant outcome. We examined a cohort of 4143 donor-recipient pairs obtained from the Center for International Blood and Marrow Transplant Research. MtDNA was extracted from whole blood or peripheral blood mononuclear cells from donors and recipients and sequenced to discern haplotype. We used multiple regression analysis to examine the independent association of mtDNA haplotype with overall survival and grade III-IV acute GVHD (aGVHD) adjusting for known risk factors for poor transplant outcome. Neither recipient nor donor mtDNA haplotype reached groupwise significance for overall survival (P =.26 and .39, respectively) or grade III-IV aGVHD (P = .68 and.57, respectively). Adjustment for genomically determined ancestry in the subset of donor-recipient pairs for which this was available did not materially change results. We conclude that our original finding was due to chance in a small sample size and that there is essentially no evidence that mtDNA haplotype or haplotype mismatch contributes to risk of serious outcomes after allogeneic transplantation.
Copyright © 2021 The American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Unrelated donor transplant; acute graft-vs-host disease; mitochondria; outcomes; transplant

Mesh:

Year:  2021        PMID: 34174468      PMCID: PMC8478819          DOI: 10.1016/j.jtct.2021.06.019

Source DB:  PubMed          Journal:  Transplant Cell Ther        ISSN: 2666-6367


  37 in total

1.  Manipulating the bioenergetics of alloreactive T cells causes their selective apoptosis and arrests graft-versus-host disease.

Authors:  Erin Gatza; Daniel R Wahl; Anthony W Opipari; Thomas B Sundberg; Pavan Reddy; Chen Liu; Gary D Glick; James L M Ferrara
Journal:  Sci Transl Med       Date:  2011-01-26       Impact factor: 17.956

Review 2.  The incomplete natural history of mitochondria.

Authors:  J William O Ballard; Michael C Whitlock
Journal:  Mol Ecol       Date:  2004-04       Impact factor: 6.185

3.  Risk factors for acute GVHD and survival after hematopoietic cell transplantation.

Authors:  Madan Jagasia; Mukta Arora; Mary E D Flowers; Nelson J Chao; Philip L McCarthy; Corey S Cutler; Alvaro Urbano-Ispizua; Steven Z Pavletic; Michael D Haagenson; Mei-Jie Zhang; Joseph H Antin; Brian J Bolwell; Christopher Bredeson; Jean-Yves Cahn; Mitchell Cairo; Robert Peter Gale; Vikas Gupta; Stephanie J Lee; Mark Litzow; Daniel J Weisdorf; Mary M Horowitz; Theresa Hahn
Journal:  Blood       Date:  2011-10-18       Impact factor: 22.113

4.  Alloreactivity: the Janus-face of hematopoietic stem cell transplantation.

Authors:  A Gratwohl; A Sureda; J Cornelissen; J Apperley; P Dreger; R Duarte; H T Greinix; E Mc Grath; N Kroeger; F Lanza; A Nagler; J A Snowden; D Niederwieser; R Brand
Journal:  Leukemia       Date:  2017-03-08       Impact factor: 11.528

5.  Replication and validation of genetic polymorphisms associated with survival after allogeneic blood or marrow transplant.

Authors:  Ezgi Karaesmen; Abbas A Rizvi; Leah M Preus; Philip L McCarthy; Marcelo C Pasquini; Kenan Onel; Xiaochun Zhu; Stephen Spellman; Christopher A Haiman; Daniel O Stram; Loreall Pooler; Xin Sheng; Qianqian Zhu; Li Yan; Qian Liu; Qiang Hu; Amy Webb; Guy Brock; Alyssa I Clay-Gilmour; Sebastiano Battaglia; David Tritchler; Song Liu; Theresa Hahn; Lara E Sucheston-Campbell
Journal:  Blood       Date:  2017-08-15       Impact factor: 22.113

6.  Temporal discordance between graft-versus-leukemia and graft-versus-host responses: a strategy for the separation of graft-versus-leukemia/graft-versus-host reactivity?

Authors:  Parameswaran Hari; Brent Logan; William R Drobyski
Journal:  Biol Blood Marrow Transplant       Date:  2004-11       Impact factor: 5.742

7.  Metabolic reprogramming of alloantigen-activated T cells after hematopoietic cell transplantation.

Authors:  Hung D Nguyen; Shilpak Chatterjee; Kelley M K Haarberg; Yongxia Wu; David Bastian; Jessica Heinrichs; Jianing Fu; Anusara Daenthanasanmak; Steven Schutt; Sharad Shrestha; Chen Liu; Honglin Wang; Hongbo Chi; Shikhar Mehrotra; Xue-Zhong Yu
Journal:  J Clin Invest       Date:  2016-03-07       Impact factor: 14.808

8.  Mitochondrial genetics: a paradigm for aging and degenerative diseases?

Authors:  D C Wallace
Journal:  Science       Date:  1992-05-01       Impact factor: 47.728

9.  MToolBox: a highly automated pipeline for heteroplasmy annotation and prioritization analysis of human mitochondrial variants in high-throughput sequencing.

Authors:  Claudia Calabrese; Domenico Simone; Maria Angela Diroma; Mariangela Santorsola; Cristiano Guttà; Giuseppe Gasparre; Ernesto Picardi; Graziano Pesole; Marcella Attimonelli
Journal:  Bioinformatics       Date:  2014-07-14       Impact factor: 6.937

10.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

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