Toll‐like receptor 4 mediates cross‐talk between peroxisome proliferator‐activated receptor γ and nuclear factor‐κB in macrophages
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Summary: The peroxisome proliferator‐activated receptor γ (PPARγ) is expressed in macrophages and plays an important role in suppressing the inflammatory response. Lipopolysaccharides (LPS), which activate Toll‐like receptor 4 (TLR4), reduced PPARγ expression and function in peritoneal macrophages and macrophage cell lines. Moreover, pretreatment with the synthetic PPARγ ligand, rosiglitazone did not prevent LPS‐mediated downregulation of PPARγ. Inhibition of PPARγ expression was not blocked by cycloheximide, indicating that de novo protein synthesis is not required for LPS‐mediated suppression of PPARγ. Destabilization of PPARγ messenger RNA (mRNA) was not observed in LPS‐stimulated macrophages, suggesting that LPS regulates the synthesis of PPARγ mRNA. LPS had no effect on PPARγ expression in macrophages from TLR4 knockout mice, whereas LPS inhibited PPARγ expression in cells that had been reconstituted to express functional TLR4. Targeting the TLR4 pathway with inhibitors of MEK1/2, p38, JNK and AP‐1 had no effect on PPARγ downregulation by LPS. However, inhibitors that target NEMO, IκB and NF‐κB abolished LPS‐mediated downregulation of PPARγ in LPS‐stimulated macrophages. Our data indicate that activation of TLR4 inhibits PPARγ mRNA synthesis by an NF‐κB‐dependent mechanism. Low‐density genomic profiling of macrophage‐specific PPARγ knockout cells indicated that PPARγ suppresses inflammation under basal conditions, and that loss of PPARγ expression is sufficient to induce a proinflammatory state. Our data reveal a regulatory feedback loop in which PPARγ represses NF‐κB‐mediated inflammatory signalling in unstimulated macrophages; however, upon activation of TLR4, NF‐κB drives down PPARγ expression and thereby obviates any potential anti‐inflammatory effects of PPARγ in LPS‐stimulated macrophages.
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NFκB inhibition with Bay11-7082 abrogates LPS-mediated PPARγ1 mRNA decay.
“Inhibition of NFB with Bay11-7082 abrogated LPS-mediated PPAR␥1 mRNA decay, which is corroborated by the work of Necela et al. (22).”
From MicroRNA-27b Contributes to Lipopolysaccharide-mediated Peroxisome Proliferator-activated Receptor γ (PPARγ) mRNA Destabilization (2010) · cites this paper as Necela et al. [22]
The Results section reports that NF-κB inhibitors, including Bay 11-7085, blocked LPS-mediated downregulation of PPARγ. But its mRNA-stability experiment found that LPS had no significant effect on PPARγ mRNA degradation; the paper attributes the reduction to inhibited mRNA synthesis, not decay. It therefore does not corroborate the claimed mechanism or the specific Bay11-7082 result. (LLM, conf=0.90)
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Experimental — accuracy not yet measuredStudies in PPARγ knock-out macrophages showed these cells express higher amounts of pro-inflammatory mediators such as IL-6.
“Studies in PPAR␥ knock-out macrophages supported the importance of PPAR␥, because these cells expressed higher amounts of pro-inflammatory mediators such as IL-6 (22).”
From MicroRNA-27b Contributes to Lipopolysaccharide-mediated Peroxisome Proliferator-activated Receptor γ (PPARγ) mRNA Destabilization (2010) · cites this paper as [22]
LPS time-dependently reduces PPARγ1 mRNA and protein amounts in macrophages.
“LPS, a classical pro-inflammatory stimulus time-dependently reduced PPAR␥1 mRNA and protein amounts in macrophages, which is in line with the work of Necela et al. (22) showing a reduction of PPAR␥ mRNA in murine RAW264.7 macrophages.”
From MicroRNA-27b Contributes to Lipopolysaccharide-mediated Peroxisome Proliferator-activated Receptor γ (PPARγ) mRNA Destabilization (2010) · cites this paper as Necela et al. [22]
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Self-regulation of the inflammatory response by peroxisome proliferator-activated receptors
Korbecki, J., Bobiński, R., & Dutka, M. (2019) · Inflammation Research · doi:10.1007/s00011-019-01231-1 · Cited by 415 · see citing works
Vallée, A., Lecarpentier, Y., Guillevin, R., & Vallée, J.-N. (2017) · Acta Biochimica et Biophysica Sinica · doi:10.1093/abbs/gmx073 · Cited by 226 · see citing works
Stress-induced neuroinflammation: role of the toll-like receptor-4 pathway
Gárate, I., Garcia-Bueno, B., Madrigal, J. L. M., Caso, J. R., Alou, L., Gomez-Lus, M. L., Micó, J. A., & Leza, J. C. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.07.005 · Cited by 202 · see citing works
Jennewein, C., von Knethen, A., Schmid, T., & Brüne, B. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.066399 · Cited by 183 · see citing works
- Authors
- Necela, B. M., Su, W., & Thompson, E. A.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Necela, Brian M.
- Thompson, E. Aubrey
- Venue
- Immunology
- Publisher
- Wiley
- Published
- 2008-10-08
- Volume
- 125
- Issue
- 3
- Pages
- 344-358
- ISSN
- 0019-2805 (ISSN-L)
- 1365-2567
- PMC
- PMC2669138
- OpenAlex
- W2054531769
- Cited by
- 140
- References
- 8
- Citations by year
- 2026: 4 · 2025: 4 · 2024: 6 · 2023: 4 · 2022: 7 · 2021: 12 · 2020: 12 · 2019: 8 · 2018: 7 · 2017: 6 · 2016: 6 · 2015: 8 · 2014: 12 · 2013: 6 · 2012: 8
- FWCI
- 4.12
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Immunology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Peroxisome Proliferator-Activated Receptors
- Life Sciences › Immunology and Microbiology › Immunology › Immune Response and Inflammation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › NF-κB Signaling Pathways
- Keywords
- TLR4, PPARγ, NF-κB, macrophages, lipopolysaccharide, inflammation, NEMO, IκB, anti-inflammatory signaling, proinflammatory state, TLR4 signaling
- MeSH terms
- Animals, Cell Line, Transformed, Cells, Cultured, Gene Expression Regulation, Lipopolysaccharides, Macrophages, Mice, Inbred C57BL, RNA, Messenger, Signal Transduction, Down-Regulation, NF-kappa B, Macrophages, Peritoneal, Mice, Knockout, Genomics, PPAR gamma, Toll-Like Receptors, Toll-Like Receptor 4, Mice
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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