Effect of Inflammation on the Aging Microcirculation: Impact on Skeletal Muscle Blood Flow Control
Bibliographic record
Abstract
To meet the metabolic demands of skeletal muscle, the vasculature supplying these vascular beds has to be connected to respond in a coordinated uniform manner, thus providing the necessary oxygen and nutrients during increased activity. The skeletal muscle microcirculation is the major resistance network controlling vascular blood supply and it is the integrity of the endothelium lining the blood vessels that is paramount in facilitating this action. Aging is a major risk factor for cardiovascular disease and is associated with significant increases in inflammatory agents that negatively impact the vasculature. Several inflammatory agents such as cytokines (tumor necrosis factor-a), advanced glycation products (AGEs), and matrix metalloproteinases (MMPs) along with storage cells for inflammatory mediators (mast cells) are associated with a chronic "low-grade inflammation" state that has been observed over the course of the aging process. Current research suggests that these age-related increases in inflammatory agents can disrupt the microvascular endothelium and thus impair blood flow. This impairment could exacerbate the common age-related disease states such as hypertension, diabetes, congestive heart failure, and sarcopenia, leading to increased mortality and morbidity.
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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) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".