The DOI matches its Crossref record; 88 of the 88 references it cites were found in a registry or an index.
Maladaptive innate immune training of myelopoiesis links inflammatory comorbidities
Open accessAbstract
SUMMARY Bone marrow (BM)-mediated trained innate immunity (TII) is a state of heightened immune responsiveness of hematopoietic stem and progenitor cells (HSPC) and their myeloid progeny. We show here that maladaptive BM-mediated TII underlies inflammatory comorbidities, as exemplified by the periodontitis-arthritis axis. Experimental periodontitis-related systemic inflammation in mice induced epigenetic rewiring of HSPC and led to sustained enhancement of production of myeloid cells with enhanced inflammatory preparedness. The periodontitis-induced trained phenotype was transmissible by BM transplantation to naïve recipients, which exhibited increased inflammatory responsiveness and disease severity when subjected to inflammatory arthritis. IL-1 signaling in HSPC was essential for their maladaptive training by periodontitis. Therefore, maladaptive innate immune training of myelopoiesis underlies inflammatory comorbidities and may be pharmacologically targeted to treat them via a holistic approach.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Comprehensive Integration of Single-Cell Data
Stuart, T., Butler, A., Hoffman, P., Hafemeister, C., Papalexi, E., Mauck, W. M., Hao, Y., Stoeckius, M., Smibert, P., & Satija, R. (2019) · Cell · doi:10.1016/j.cell.2019.05.031 · Cited by 15,453
Antiinflammatory Therapy with Canakinumab for Atherosclerotic Disease
Ridker, P. M., Everett, B. M., Thuren, T., MacFadyen, J. G., Chang, W. H., Ballantyne, C., Fonseca, F., Nicolau, J., Koenig, W., Anker, S. D., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1707914 · Cited by 9,482
The single-cell transcriptional landscape of mammalian organogenesis
Cao, J., Spielmann, M., Qiu, X., Huang, X., Ibrahim, D. M., Hill, A. J., Zhang, F., Mundlos, S., Christiansen, L., Steemers, F. J., et al. (2019) · Nature · doi:10.1038/s41586-019-0969-x · Cited by 4,490
Oral diseases: a global public health challenge
Peres, M. A., Macpherson, L. M. D., Weyant, R. J., Daly, B., Venturelli, R., Mathur, M. R., Listl, S., Celeste, R. K., Guarnizo-Herreño, C. C., Kearns, C., et al. (2019) · The Lancet · doi:10.1016/s0140-6736(19)31146-8 · Cited by 4,054
Periodontitis: from microbial immune subversion to systemic inflammation
Hajishengallis, G. (2015) · Nature Reviews Immunology · doi:10.1038/nri3785 · Cited by 3,046
Self-citationDefining trained immunity and its role in health and disease
Netea, M. G., Domínguez-Andrés, J., Barreiro, L. B., Chavakis, T., Divangahi, M., Fuchs, E., Joosten, L. A. B., van der Meer, J. W. M., Mhlanga, M. M., Mulder, W. J. M., et al. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0285-6 · Cited by 2,690
Self-citationSmolen, J. S., Aletaha, D., Barton, A., Burmester, G. R., Emery, P., Firestein, G. S., Kavanaugh, A., McInnes, I. B., Solomon, D. H., Strand, V., et al. (2018) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2018.1 · Cited by 2,445
Global Burden of Severe Periodontitis in 1990-2010: A Systematic Review and Meta-regression
Kassebaum, N. J., Bernabé, E., Dahiya, M., Bhandari, B., Murray, C. J. L., & Marcenes, W. (2014) · Journal of Dental Research · doi:10.1177/0022034514552491 · Cited by 2,209
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Baker, J. L., Mark Welch, J. L., Kauffman, K. M., McLean, J. S., & He, X. (2024) · Nature Reviews Microbiology · doi:10.1038/s41579-023-00963-6 · Cited by 661
Epigenetic memory of coronavirus infection in innate immune cells and their progenitors
Cheong, J.-G., Ravishankar, A., Sharma, S., Parkhurst, C. N., Grassmann, S. A., Wingert, C. K., Laurent, P., Ma, S., Paddock, L., Miranda, I. C., et al. (2023) · Cell · doi:10.1016/j.cell.2023.07.019 · Cited by 309
Osteocytes regulate senescence of bone and bone marrow
Ding, P., Gao, C., Gao, Y., Liu, D., Li, H., Xu, J., Chen, X., Huang, Y., Zhang, C., Zheng, M., et al. (2022) · eLife · doi:10.7554/elife.81480 · Cited by 102
The role of the host—Neutrophil biology
Chapple, I. L. C., Hirschfeld, J., Kantarci, A., Wilensky, A., & Shapira, L. (2023) · Periodontology 2000 · doi:10.1111/prd.12490 · Cited by 83
Mou, R., Ma, J., Ju, X., Wu, Y., Chen, Q., Li, J., Shang, T., Chen, S., Yang, Y., Li, Y., et al. (2024) · Cell Stem Cell · doi:10.1016/j.stem.2024.09.018 · Cited by 20
Metadata
- Authors
- Li, X., Wang, H., Yu, X., Saha, G., Kalafati, L., Ioannidis, C., Mitroulis, I., Netea, M. G., Chavakis, T., & Hajishengallis, G.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2022-05
- Volume
- 185
- Issue
- 10
- Pages
- 1709-1727.e18
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W4225141679
- Cited by
- 328
- References
- 88
- FWCI
- 18.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Li, X., Wang, H., Yu, X., Saha, G., Kalafati, L., Ioannidis, C., Mitroulis, I., Netea, M. G., Chavakis, T., & Hajishengallis, G. (2022). Maladaptive innate immune training of myelopoiesis links inflammatory comorbidities. Cell. https://doi.org/10.1016/j.cell.2022.03.043
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