Diosmetin alleviates TNFα-induced liver inflammation by improving liver sinusoidal endothelial cell dysfunction
Bibliographic record
Abstract
Sterile inflammation contributes to the development of many liver diseases including non-alcoholic fatty liver disease. Tumor necrosis factor alpha (TNFα) is a key cytokine driving liver inflammation primarily through pro-inflammatory activation of liver sinusoidal endothelial cells (LSEC). The knowledge of whether modulating LSEC activation can alleviate liver inflammation is scarce. This study aims to establish and validate an animal model mimicking LSEC dysfunction observed in obese patients with elevated plasma levels of TNFα, and explore whether vasoactive flavonoid diosmetin could serve as a therapeutic agent for liver inflammation by modulation of LSEC dysfunction. Obese patients with elevated plasma levels of TNFα, LSEC dysfunction and liver inflammation had also reduced Mcpip1 expression in peripheral blood mononuclear cells. Mcpip1 is a protein that negatively regulates the levels of pro-inflammatory cytokines. To model this, we generated mice with Mcpip1 knock-out in myeloid cells (Mcpip1 fl/fl LysM Cre ), which displayed systemic and liver inflammation like that observed in patients. Diosmetin treatment efficiently reduced TNFα-dependent LSEC activation in vitro and in vivo , and reduced liver inflammation in Mcpip1 fl/fl LysM Cre mice without affecting systemic inflammation. Diosmetin's effects may stem from inhibiting NF-κB pathway in TNFα-activated endothelial cells. Our findings demonstrate that the Mcpip1 fl/fl LysM Cre mouse model is useful for studying new anti-inflammatory therapies for the liver. We show that diosmetin, a vasoactive flavonoid used in the clinic to treat chronic venous insufficiency, also has strong anti-inflammatory properties in the liver. These results indicate that diosmetin has the potential to be further investigated as a supportive therapy for liver inflammation in humans. • Patients with elevated TNFα levels exhibit LSEC dysfunction and liver inflammation. • Mcpip1 fl/fl LysM Cre mice replicate the inflammatory phenotype observed in patients with high TNFα levels. • Diosmetin treatment prevents liver inflammation by improving LSEC function in mice. • Diosmetin reduces the pro-inflammatory activation of LSEC by inhibiting the NF-κB signaling.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".