Human haematopoietic stem cells remember inflammatory stress
, but how human HSCs respond and adapt to inflammatory stress is largely unknown. Here, to empirically understand this adaptation, we developed xenograft inflammation-recovery models and performed single-cell multiomics on xenografted human HSCs. Two transcriptionally and epigenetically distinct HSC subsets were identified with one, termed HSC inflammatory memory (HSC-iM), retaining a molecular memory of previous inflammatory treatments. The HSC-iM subset exhibited quiescence and restrained haematopoietic output. Molecularly, the HSC-iM program was enriched in HSCs from adult and paediatric samples across conditions ranging from COVID-19 recovery, sickle cell disease, ageing and clonal haematopoiesis, establishing both the validity of our xenograft models and the physiological relevance of HSC-iM. Clonal haematopoiesis mutations in HSC-iM attenuated the effects of inflammatory stress by promoting HSC activation and differentiation. Moreover, transmission of the pro-inflammatory HSC-iM transcriptional program to differentiated immune progeny was demonstrated in xenograft and physiological settings. Finally, HSC-iM program enrichment in circulating blood cells was associated with a heightened risk score for all-cause mortality in population cohort analyses, underscoring the clinical relevance of this newly identified HSC subset in characterizing heterogeneous health outcomes across a lifetime.
Authors
- Philip Awadalla (ORCID: https://orcid.org/0000-0001-9946-6393)
- Sven Turkalj (ORCID: https://orcid.org/0009-0002-3377-1170)
- Ho Seok Lee
- Isabel N.X. Lim
- Angelica Varesi (ORCID: https://orcid.org/0000-0002-1246-2320)
- Christopher N. Parkhurst (ORCID: https://orcid.org/0000-0003-1725-3939)
- Sayyam Shah (ORCID: https://orcid.org/0009-0005-1064-3223)
- Darrien Parris
- Elvin Wagenblast (ORCID: https://orcid.org/0000-0002-0709-2759)
- Niels Asger Jakobsen (ORCID: https://orcid.org/0000-0002-5776-5085)
- Liqing Jin (ORCID: https://orcid.org/0009-0009-9639-4836)
- Alicia G. Aguilar-Navarro (ORCID: https://orcid.org/0000-0001-6409-0613)
- Andy G.X. Zeng (ORCID: https://orcid.org/0000-0002-3223-6400)
- Felix A. Radtke (ORCID: https://orcid.org/0000-0002-6491-2573)
- Bo Wang (ORCID: https://orcid.org/0000-0001-5132-7685)
- Elias Gbeha
- Murtaza S. Nagree (ORCID: https://orcid.org/0000-0002-4877-6241)
- John E. Dick (ORCID: https://orcid.org/0000-0002-9527-8317)
- Gregory W. Schwartz (ORCID: https://orcid.org/0000-0003-4003-3045)
- Joana Araújo (ORCID: https://orcid.org/0000-0001-9649-3177)
- J. KANG (ORCID: https://orcid.org/0000-0002-6384-891X)
- Anna S. Nam (ORCID: https://orcid.org/0000-0003-4192-8916)
- Steven Z. Josefowicz
- Elyssa Bader
- Mason Boulanger
- Eugenia Flores-Figueroa
- Stephanie Z. Xie
- Jessica McLeod
- Xuan Zhang (ORCID: https://orcid.org/0000-0001-7966-8748)
- H. Leighton Grimes (ORCID: https://orcid.org/0000-0001-8162-6758)
- Paresh Vyas (ORCID: https://orcid.org/0000-0003-3931-0914)
- Lin Zhang
- Jin-Gyu Cheong
- Leonard D. Shultz
- Alex Murison
- Tsega-Ab Abera
- Hyerin Kim
Institutions
- Ontario Institute for Cancer Research (CA)
- Cincinnati Children's Hospital Medical Center (US)
- Boston Children's Hospital (US)
- University Health Network (CA)
- Simon Fraser University (CA)
- Universidade do Porto (PT)
- University of Toronto (CA)
- Cornell University (US)
- Princess Margaret Cancer Centre (CA)
- Hospital de São João (PT)
- University of Oxford (GB)
- MRC Weatherall Institute of Molecular Medicine (GB)
- Jackson Laboratory (US)
- Dana-Farber Cancer Institute (US)
- Vector Institute (CA)
- Oxford BioMedica (United Kingdom) (GB)
- Oxford University Hospitals NHS Trust (GB)
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
- Weill Cornell Medicine (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Nature
- Published
- 2026-05-27
- DOI
- https://doi.org/10.1038/s41586-026-10522-7
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00