Low-Density Lipoprotein Receptor Signaling Mediates the Triglyceride-Lowering Action of <i>Akkermansia muciniphila</i> in Genetic-Induced Hyperlipidemia
Bibliographic record
Abstract
OBJECTIVE: Akkermansia muciniphila (A muciniphila) is a mucin-degrading bacterium that resides in the mucus layer whose abundance inversely correlates with body weight and the development of diabetes mellitus in mice and humans. The objective of this study was to explore the regulatory effect of A muciniphila on host lipoprotein metabolism, insulin sensitivity, and hepatic metabolic inflammation. APPROACH AND RESULTS: By establishing a novel mouse model that colonized the A muciniphila in the gastrointestinal tract of the cAMP-responsive binding protein H (CREBH)-deficient mouse and in vivo chylomicron assay, we found that increased colonization of A muciniphila in the gastrointestinal tract of wild-type mice protected mice from an acute fat load-induced hyperlipidemia compared with vehicle-treated mice. A muciniphila administration also significantly ameliorated chronic hypertriglyceridemia, improved insulin sensitivity, and prevented overproduction of postprandial chylomicrons in CREBH-null mice. Mechanistic studies revealed that increased A muciniphila colonization induced expression of low-density lipoprotein receptors and apolipoprotein E in the hepatocytes of CREBH-null mice, which facilitated the uptake of intermediate-density lipoprotein via the mediation of apolipoprotein B100 and apolipoprotein E, leading to the increased clearance of triglyceride-rich lipoprotein remnants, chylomicron remnants, and intermediate-density lipoproteins, from the circulation. Treatment with A muciniphila further improved hepatic endoplasmic reticulum stress and metabolic inflammation in CREBH-null mice. CONCLUSIONS: Increased colonization of the disease-protective gut bacteria A muciniphila protected the host from acute and chronic hyperlipidemia by enhancing the low-density lipoprotein receptor expression and alleviating hepatic endoplasmic reticulum stress and the inflammatory response in CREBH-null mice.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".