The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Pathogen Recognition and Inflammatory Signaling in Innate Immune Defenses
Open accessAbstract
SUMMARY: The innate immune system constitutes the first line of defense against invading microbial pathogens and relies on a large family of pattern recognition receptors (PRRs), which detect distinct evolutionarily conserved structures on pathogens, termed pathogen-associated molecular patterns (PAMPs). Among the PRRs, the Toll-like receptors have been studied most extensively. Upon PAMP engagement, PRRs trigger intracellular signaling cascades ultimately culminating in the expression of a variety of proinflammatory molecules, which together orchestrate the early host response to infection, and also is a prerequisite for the subsequent activation and shaping of adaptive immunity. In order to avoid immunopathology, this system is tightly regulated by a number of endogenous molecules that limit the magnitude and duration of the inflammatory response. Moreover, pathogenic microbes have developed sophisticated molecular strategies to subvert host defenses by interfering with molecules involved in inflammatory signaling. This review presents current knowledge on pathogen recognition through different families of PRRs and the increasingly complex signaling pathways responsible for activation of an inflammatory and antimicrobial response. Moreover, medical implications are discussed, including the role of PRRs in primary immunodeficiencies and in the pathogenesis of infectious and autoimmune diseases, as well as the possibilities for translation into clinical and therapeutic applications.
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Cites
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A Toll-like receptor recognizes bacterial DNA
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“(121) as opposed to methylated DNA present in mammalian cells, which generally does not activate the immune system.”
BackgroundRecognition of double-stranded RNA and activation of NF-κB by Toll-like receptor 3
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Gout-associated uric acid crystals activate the NALP3 inflammasome
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Cited by
NF-κB signaling in inflammation
Liu, T., Zhang, L., Joo, D., & Sun, S.-C. (2017) · Signal Transduction and Targeted Therapy · doi:10.1038/sigtrans.2017.23 · Cited by 8,791
Kelly, J. R., Kennedy, P. J., Cryan, J. F., Dinan, T. G., Clarke, G., & Hyland, N. P. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00392 · Cited by 1,110
Targeting drugs to tumours using cell membrane-coated nanoparticles
Fang, R. H., Gao, W., & Zhang, L. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00699-x · Cited by 980
Impact of Obesity and Metabolic Syndrome on Immunity
Andersen, C. J., Murphy, K. E., & Fernandez, M. L. (2016) · Advances in Nutrition · doi:10.3945/an.115.010207 · Cited by 701
Obesity, Insulin Resistance, and Type 2 Diabetes: Associations and Therapeutic Implications
Wondmkun, Y. T. (2020) · Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy · doi:10.2147/dmso.s275898 · Cited by 706
Metadata
- Authors
- Mogensen, T. H.
- Venue
- Clinical Microbiology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2009-04
- Volume
- 22
- Issue
- 2
- Pages
- 240-273
- ISSN
- 0893-8512 (ISSN-L)
- 1098-6618
- OpenAlex
- W2106248075
- Cited by
- 3,111
- References
- 32
- FWCI
- 28.77
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.