The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Functional Linkage of Cirrhosis-Predictive Single Nucleotide Polymorphisms of Toll-Like Receptor 4 to Hepatic Stellate Cell Responses
Open accessAbstract
UNLABELLED: In a recent study, a single nucleotide polymorphism (SNP) of the Toll-like receptor 4 (TLR4) gene (c.1196C>T [rs4986791, p.T399I]) emerged as conferring protection from fibrosis progression compared to a major, wild-type (WT) CC allele (p.T399). The present study examined the functional linkage of this SNP, along with another common, highly cosegregated TLR4 SNP (c.896A>G [rs4986790, p.D299G]), to hepatic stellate cell (HSC) responses. Both HSCs from TLR4(-/-) mice and a human HSC line (LX-2) reconstituted with either TLR4 D299G and/or T399I complementary DNAs were hyporesponsive to lipopolysaccharide (LPS) stimulation compared to those expressing WT TLR4, as assessed by the expression and secretion of LPS-induced inflammatory and chemotactic cytokines (i.e., monocyte chemoattractant protein-1, interleukin-6), down-regulation of bone morphogenic protein and the activin membrane-bound inhibitor expression (an inhibitory transforming growth factor beta pseudoreceptor), and activation of a nuclear factor kappaB (NF-kappaB)-responsive luciferase reporter. In addition, spontaneous apoptosis, as well as apoptosis induced by pathway inhibitors of NF-kappaB, extracellular signal-regulated kinase (ERK), and phosphatidylinositol 3-kinase were greatly increased in HSCs from either TLR4(-/-) or myeloid differentiation factor 88(-/-) (a TLR adaptor protein) mice, as well as in murine HSCs expressing D299G and/or T399I SNPs; increased apoptosis in these lines was accompanied by decreased phospho-ERK and Bcl-2. CONCLUSION: TLR4 D299G and T399I SNPs that are associated with protection from hepatic fibrosis reduce TLR4-mediated inflammatory and fibrogenic signaling and lower the apoptotic threshold of activated HSCs. These findings provide a mechanistic link that explains how specific TLR4 SNPs may regulate the risk of fibrosis progression.
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“Polymorphisms that attenuate HSC TLR4 activity reduce inflammatory signaling and are protective against fibrosis (32).”
From Hepatic Stellate Cell-Immune Interactions in NASH (2022) · cites this paper as [32]
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Hoshino, K., Takeuchi, O., Kawai, T., Sanjo, H., Ogawa, T., Takeda, Y., Takeda, K., & Akira, S. (1999) · The Journal of Immunology · doi:10.4049/jimmunol.162.7.3749 · Cited by 3,374
Natural history of liver fibrosis progression in patients with chronic hepatitis C
Poynard, T., Bedossa, P., & Opolon, P. (1997) · The Lancet · doi:10.1016/s0140-6736(96)07642-8 · Cited by 3,011
Hepatic Stellate Cells: Protean, Multifunctional, and Enigmatic Cells of the Liver
Friedman, S. L. (2008) · Physiological Reviews · doi:10.1152/physrev.00013.2007 · Cited by 2,842
Self-citationUnresponsiveness of MyD88-deficient mice to endotoxin.
Kawai, T., Adachi, O., Ogawa, T., Takeda, K., & Akira, S. (1999) · Immunity · doi:10.1016/s1074-7613(00)80086-2 · Cited by 2,367
Targeted disruption of the MyD88 gene results in loss of IL-1- and IL-18-mediated function.
Adachi, O., Kawai, T., Takeda, K., Matsumoto, M., Tsutsui, H., Sakagami, M., Nakanishi, K., & Akira, S. (1998) · Immunity · doi:10.1016/s1074-7613(00)80596-8 · Cited by 2,358
TLR4 mutations are associated with endotoxin hyporesponsiveness in humans
Arbour, N. C., Lorenz, E., Schutte, B. C., Zabner, J., Kline, J. N., Jones, M., Frees, K., Watt, J. L., & Schwartz, D. A. (2000) · Nature Genetics · doi:10.1038/76048 · Cited by 2,024
TLR4 enhances TGF-β signaling and hepatic fibrosis
Seki, E., De Minicis, S., Österreicher, C. H., Kluwe, J., Osawa, Y., Brenner, D. A., & Schwabe, R. F. (2007) · Nature Medicine · doi:10.1038/nm1663 · Cited by 1,942
Inferences, questions and possibilities in Toll-like receptor signalling
Beutler, B. (2004) · Nature · doi:10.1038/nature02761 · Cited by 1,476
Human hepatic stellate cell lines, LX-1 and LX-2: new tools for analysis of hepatic fibrosis
Xu, L., Hui, A. Y., Albanis, E., Arthur, M. J., O’Byrne, S. M., Blaner, W. S., Mukherjee, P., Friedman, S. L., & Eng, F. J. (2004) · Gut · doi:10.1136/gut.2004.042127 · Cited by 1,020
Self-citationLife-or-death decisions by the Bcl-2 protein family
Adams, J. M., & Cory, S. (2001) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(00)01740-0 · Cited by 888
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Mechanisms of hepatic stellate cell activation
Tsuchida, T., & Friedman, S. L. (2017) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.38 · Cited by 2,909
Self-citationMechanisms of Hepatic Fibrogenesis
Friedman, S. L. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.03.003 · Cited by 2,687
Self-citationPathogenesis of Liver Fibrosis
Hernandez-Gea, V., & Friedman, S. L. (2011) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathol-011110-130246 · Cited by 1,809
Self-citationHepatic stellate cells as key target in liver fibrosis
Higashi, T., Friedman, S. L., & Hoshida, Y. (2017) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2017.05.007 · Cited by 1,485
Self-citationNF-κB in the liver—linking injury, fibrosis and hepatocellular carcinoma
Luedde, T., & Schwabe, R. F. (2011) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2010.213 · Cited by 1,345
Metadata
- Authors
- Guo, J., Loke, J., Zheng, F., Hong, F., Yea, S., Fukata, M., Tarocchi, M., Abar, O. T., Huang, H., Sninsky, J. J., & Friedman, S. L.
- Affiliations
- Shanghai Medical College of Fudan University (CN)
- Icahn School of Medicine at Mount Sinai (US)
- Corresponding author
- Friedman, Scott L.
- Venue
- Hepatology
- Published
- 2009-03
- Volume
- 49
- Issue
- 3
- Pages
- 960-968
- ISSN
- 0270-9139 (ISSN-L)
- PMC
- PMC2891538
- OpenAlex
- W2076794498
- Semantic Scholar
- 2059afc5115efdff55a9c9be1562114523545359
- Cited by
- 217
- References
- 40
- Citations by year
- 2026: 1 · 2025: 7 · 2024: 4 · 2023: 8 · 2022: 11 · 2021: 3 · 2020: 12 · 2019: 6 · 2018: 12 · 2017: 12 · 2016: 19 · 2015: 19 · 2014: 9 · 2013: 16 · 2012: 23
- FWCI
- 12.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Hepatology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Florence Research (University of Florence) (submittedVersion)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (P20AA017067)
- National Institute of General Medical Sciences (T32GM062754)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK056631, R01DK056621)
- Topics
- Health Sciences › Medicine › Hepatology › Liver physiology and pathology
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Health Sciences › Medicine › Pathology and Forensic Medicine › Alcohol Consumption and Health Effects
- Keywords
- TLR4, hepatic stellate cells, liver cirrhosis, liver fibrosis, lipopolysaccharide, NF-κB signaling, apoptosis, myeloid differentiation factor 88, interleukin-6, MCP-1, ERK, phosphatidylinositol 3-kinase, Bcl-2, TLR4 knockout mice
- MeSH terms
- Animals, Cell Line, Cells, Cultured, Disease Models, Animal, Humans, Lipopolysaccharides, Liver Cirrhosis, Membrane Proteins, Signal Transduction, Interleukin-6, NF-kappa B, Apoptosis, Mice, Knockout, Chemokine CCL2, Polymorphism, Single Nucleotide, Toll-Like Receptor 4, Mice, Myeloid Differentiation Factor 88, Hepatic Stellate Cells
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