The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.
The microbiome and innate immunity
Abstract
The intestinal microbiome is a signalling hub that integrates environmental inputs, such as diet, with genetic and immune signals to affect the host's metabolism, immunity and response to infection. The haematopoietic and non-haematopoietic cells of the innate immune system are located strategically at the host-microbiome interface. These cells have the ability to sense microorganisms or their metabolic products and to translate the signals into host physiological responses and the regulation of microbial ecology. Aberrations in the communication between the innate immune system and the gut microbiota might contribute to complex diseases.
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“The intestinal microbiome, for example, appears to operate as a signaling hub that, through simultaneous integration of environmental, genetic and immune signals, is capable of affecting host metabolism, immunity and response to infection (Thaiss et al., 2016).”
From Viral Infections, the Microbiome, and Probiotics (2021) · cites this paper as Thaiss et al., 2016
In the citing paper
“How the microbiota modulate innate immunity is less clear as the system lacks antigen specificity, but is believed to respond broadly to the activity of microbes via tissue-level microbial sensing [90].”
In the citing paper
“Innate immunity is also regulated by the gut microbiota as evidenced by reduced numbers and compromised functions of antigen-presenting cells and microglia in germ-free animals60,69.”
From The gut microbiota and the brain–gut–kidney axis in hypertension and chronic kidney disease (2018) · cites this paper as [69]
Citations
Cites
An obesity-associated gut microbiome with increased capacity for energy harvest
Turnbaugh, P. J., Ley, R. E., Mahowald, M. A., Magrini, V., Mardis, E. R., & Gordon, J. I. (2006) · Nature · doi:10.1038/nature05414 · Cited by 12,444
Diversity of the Human Intestinal Microbial Flora
Eckburg, P. B., Bik, E. M., Bernstein, C. N., Purdom, E., Dethlefsen, L., Sargent, M., Gill, S. R., Nelson, K. E., & Relman, D. A. (2005) · Science · doi:10.1126/science.1110591 · Cited by 7,913
Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease
Wang, Z., Klipfell, E., Bennett, B. J., Koeth, R., Levison, B. S., DuGar, B., Feldstein, A. E., Britt, E. B., Fu, X., Chung, Y.-M., et al. (2011) · Nature · doi:10.1038/nature09922 · Cited by 5,597
Association of NOD2 leucine-rich repeat variants with susceptibility to Crohn's disease
Hugot, J.-P., Chamaillard, M., Zouali, H., Lesage, S., Cézard, J.-P., Belaiche, J., Almer, S., Tysk, C., O'Morain, C. A., Gassull, M., et al. (2001) · Nature · doi:10.1038/35079107 · Cited by 5,591
A frameshift mutation in NOD2 associated with susceptibility to Crohn's disease
Ogura, Y., Bonen, D. K., Inohara, N., Nicolae, D. L., Chen, F. F., Ramos, R., Britton, H., Moran, T., Karaliuskas, R., Duerr, R. H., et al. (2001) · Nature · doi:10.1038/35079114 · Cited by 5,030
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Intestinal microbiota metabolism of l-carnitine, a nutrient in red meat, promotes atherosclerosis
Koeth, R. A., Wang, Z., Levison, B. S., Buffa, J. A., Org, E., Sheehy, B. T., Britt, E. B., Fu, X., Wu, Y., Li, L., et al. (2013) · Nature Medicine · doi:10.1038/nm.3145 · Cited by 4,386
Recognition of Commensal Microflora by Toll-Like Receptors Is Required for Intestinal Homeostasis
Rakoff-Nahoum, S., Paglino, J., Eslami-Varzaneh, F., Edberg, S., & Medzhitov, R. (2004) · Cell · doi:10.1016/j.cell.2004.07.002 · Cited by 4,251
Commensal Bifidobacterium promotes antitumor immunity and facilitates anti–PD-L1 efficacy
Sivan, A., Corrales, L., Hubert, N., Williams, J. B., Aquino-Michaels, K., Earley, Z. M., Benyamin, F. W., Man Lei, Y., Jabri, B., Alegre, M.-L., et al. (2015) · Science · doi:10.1126/science.aac4255 · Cited by 3,888
Type 2 diabetes as an inflammatory disease
Donath, M. Y., & Shoelson, S. E. (2011) · Nature Reviews Immunology · doi:10.1038/nri2925 · Cited by 3,737
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Pattern recognition receptors in health and diseases
Li, D., & Wu, M. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00687-0 · Cited by 1,961
Dysbiosis and the immune system
Levy, M., Kolodziejczyk, A. A., Thaiss, C. A., & Elinav, E. (2017) · Nature Reviews Immunology · doi:10.1038/nri.2017.7 · Cited by 1,769
Self-citationSignals from the gut microbiota to distant organs in physiology and disease
Schroeder, B. O., & Bäckhed, F. (2016) · Nature Medicine · doi:10.1038/nm.4185 · Cited by 1,409
Impact of the Gut Microbiota on Intestinal Immunity Mediated by Tryptophan Metabolism
Gao, J., Xu, K., Liu, H., Liu, G., Bai, M., Peng, C., Li, T., & Yin, Y. (2018) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2018.00013 · Cited by 1,357
Ferretti, P., Pasolli, E., Tett, A., Asnicar, F., Gorfer, V., Fedi, S., Armanini, F., Truong, D. T., Manara, S., Zolfo, M., et al. (2018) · Cell Host & Microbe · doi:10.1016/j.chom.2018.06.005 · Cited by 1,292
Metadata
- Authors
- Thaiss, C. A., Zmora, N., Levy, M., & Elinav, E.
- Affiliations
- Weizmann Institute of Science (IL)
- Tel Aviv Sourasky Medical Center (IL)
- Corresponding author
- Elinav, Eran
- Venue
- Nature
- Published
- 2016-07-06
- Volume
- 535
- Issue
- 7610
- Pages
- 65-74
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2467200611
- Cited by
- 2,012
- References
- 148
- Citations by year
- 2026: 133 · 2025: 150 · 2024: 210 · 2023: 234 · 2022: 257 · 2021: 325 · 2020: 202 · 2019: 171 · 2018: 151 · 2017: 152 · 2016: 27
- FWCI
- 15.14
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- gut microbiota, innate immunity, immune signaling, diet, host metabolism, infection response, hematopoietic cells, microbial ecology, complex diseases
- MeSH terms
- Gastrointestinal Microbiome, Animals, Humans, Immunity, Innate, Infections, Inflammation, Intestinal Mucosa, Lymphocytes, Neoplasms, Autoimmunity, Myeloid Cells, Metabolic Syndrome, Epigenesis, Genetic
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