Azithromycin promotes relapse by disrupting immune and metabolic networks after allogeneic stem cell transplantation.
Nicolas ValletSophie Le GrandLouise BondeelleBenedicte HoareauAurélien CorneauDelphine BouteillerSimon TournierLucille Lew-DerivryArmelle BohineustMarie TourretDelphine GibertEthan MayeurRaphaël A ItzyksonKim PacchiardiBrian IngramStephane CassonnetPatricia LepageRégis Peffault de LatourGérard SocieAnne BergeronDavid MichonneauPublished in: Blood (2022)
Administration of azithromycin after allogeneic hematopoietic stem cell transplantation for hematological malignancies has been associated with relapse in a randomized phase 3 controlled clinical trial. Studying 240 samples from patients randomized in this trial is a unique opportunity to better understand the mechanisms underlying relapse, the first cause of mortality after transplantation. We used multi-omics on patients' samples to decipher immune alterations associated with azithromycin intake and post-transplant relapsed malignancies. Azithromycin was associated with a network of altered energy metabolism pathways and immune subsets, including T cells biased toward immunomodulatory and exhausted profiles. In vitro, azithromycin exposure inhibited T cells cytotoxicity against tumor cells and impaired T cells metabolism through glycolysis inhibition, mitochondrial genes downregulation, and immunomodulatory genes upregulation, notably SOCS1. These results highlight that azithromycin directly affects immune cells that favor relapse, which raises caution about long-term use of azithromycin treatment in patients at high risk of malignancies.
Keyphrases
- stem cell transplantation
- end stage renal disease
- clinical trial
- allogeneic hematopoietic stem cell transplantation
- ejection fraction
- acute lymphoblastic leukemia
- newly diagnosed
- chronic kidney disease
- phase iii
- peritoneal dialysis
- double blind
- phase ii
- stem cells
- signaling pathway
- bone marrow
- study protocol
- single cell
- low dose
- gene expression
- patient reported outcomes
- body mass index
- placebo controlled
- hodgkin lymphoma
- bioinformatics analysis
- network analysis