Mechanisms Linking the Metabolic Syndrome and Cardiovascular Disease: Role of Hepatic Insulin Resistance
Bibliographic record
Abstract
The worldwide prevalence of insulin resistant states such as the metabolic syndrome has grown rapidly over the past few decades. The metabolic syndrome is a constellation of common metabolic disorders that promote the development of atherosclerosis and cardiovascular disease. Studies in both human and animal models suggest that hepatic inflammation and insulin resistance are key initiating factors in the development of the metabolic syndrome. Chronic inflammation is known to be associated with visceral obesity and is characterized by production of abnormal adipokines and cytokines such as tumor necrosis factor a, interleukin-1 (IL-1), IL-6, leptin, and resistin. These factors inhibit insulin signaling in the liver (hepatocytes) by activating suppressors of cytokine signalling proteins; several kinases such as c-Jun N-terminal kinases, IKK-β, and Protein kinase C; and protein tyrosine phosphatase 1B, that in turn impair insulin signaling at insulin receptor and insulin receptor substrate level. Hepatic insulin resistance in turn causes impaired suppression of glucose production by insulin in hepatocytes leading to hyperglycemia, induction of very low density lipoprotein production, and de novo lipogenesis. Increased production of C-reactive protein (CRP) and plasminogen activator inhibitor-1, both markers of an inflammatory state, is also observed in insulin resistance. All of the above metabolic abnormalities can directly or indirectly promote atherosclerosis. In particular, hyperglycemia induces endothelial dysfunction, cellular proliferation, changes in extracellular matrix conformation, and impairment of low density lipoproteins (LDL)-receptor-mediated lipoprotein uptake. Small dense LDLs have higher affinity to the intimal proteoglycans, leading to the penetration of more LDL particles into the arterial wall. CRP can also accelerate atherosclerosis by increasing the expression of PAI-1 and adhesion molecules in endothelial cells, inhibition of nitric oxide formation, and increasing LDL uptake into macrophages. In summary, hepatic insulin resistance is a critical early event that underlies the development of the metabolic syndrome and progression to atherosclerosis and cardiovascular disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".