Back

Microbial metabolite-guided CAR T cell engineering enhances anti-tumor immunity via epigenetic-metabolic crosstalk

Staudt, S.; Nikolka, F.; Perl, M.; Franz, J.; Leblay, N.; Yuan, X.-K.; Warmuth, L.; Fantes, M. A.; Skorpskaite, A.; San Mrtin-Uriz, P.; Rodriguez-Madoz, J. R.; Ziegler-Martin, K.; Adil-Gholam, N.; Benz, P.; Tran Huu, P.; Stein-Thoeringer, C.; Schmitt, M.; Kleigrewe, K.; Freitag, F.; Riester, Z.; Weber, J.; Mangold, K.; Einsele, H.; Prosper, F.; Ellmeier, W.; Busch, D.; Visekruna, A.; Hiller, K.; van den Brink, M.; Pausch, P.; Neri, P.; Hudecek, M.; Poeck, H.; Luu, M.

2024-08-19 immunology
10.1101/2024.08.19.608538 bioRxiv
Show abstract

The microbiome is a complex host factor and key determinant of the outcome of antibody-based and cellular immunotherapy. Its postbiotics are a blend of soluble commensal byproducts that are released into the host environment and have been associated with the regulation of immune homeostasis, particularly through impacts on epigenetics and cell signaling. In this study, we show that the postbiotic pentanoate is metabolized to citrate within the TCA cycle via both the acetyl- and succinyl-CoA entry points, a feature uniquely enabled by the chemical structure of the C5 aliphatic chain. We identified ATP-citrate lyase as the crucial factor that redirects pentanoate-derived citrate from the succinyl-CoA route to the nucleus, thereby linking metabolic output and histone acetylation. This epigenetic-metabolic crosstalk mitigated T cell exhaustion and promoted naive-like differentiation in pentanoate-programmed chimeric antigen receptor (CAR) T cells. The predictive and therapeutic potential of pentanoate was corroborated in two independent patient cohorts and three syngeneic models of CAR T adoptive therapy. Our data demonstrate that postbiotics are integrated into mitochondrial metabolism and subsequently incorporated as epigenetic imprints. This bridge between microbial and mammalian interspecies communication can ultimately impact T cell differentiation and efficacy.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.