Insulin uptake and action in microvascular endothelial cells of lymphatic and blood origin
Why this work is in the frame
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Bibliographic record
Abstract
Whereas the blood microvasculature constitutes a biological barrier to the action of blood-borne insulin on target tissues, the lymphatic microvasculature might act as a barrier to subcutaneously administrated insulin reaching the circulation. Here, we evaluate the interaction of insulin with primary microvascular endothelial cells of lymphatic [human dermal lymphatic endothelial cells (HDLEC)] and blood [human adipose microvascular endothelial cells (HAMEC)] origin, derived from human dermal and adipose tissues, respectively. HDLEC express higher levels of insulin receptor and signal in response to insulin as low as 2.5 nM, while HAMEC only activate signaling at 100 nM (a dose that blood vessels do not normally encounter). Low insulin acts specifically through the insulin receptor, while supraphysiological insulin acts through both the IR and insulin growth factor-1 receptor. At supraphysiological or injection site-compatible doses pertinent to lymphatic microvessels, insulin enters HAMEC and HDLEC via fluid-phase endocytosis. Conversely, at physiologically circulating doses (0.2 nM) pertinent to blood microvessels, insulin enters HAMEC through a receptor-mediated process requiring IR autophosphorylation but not downstream insulin signaling. At physiological doses, internalized insulin is barely degraded and is instead released intact to the extracellular medium. In conclusion, we document for the first time the mechanism of interaction of insulin with lymphatic endothelial cells, which may be relevant to insulin absorption during therapeutic injections. Furthermore, we describe distinct action and uptake routes for insulin at physiological and supraphysiological doses in blood microvascular endothelial cells, providing a potential explanation for previously conflicting studies on endothelial insulin uptake.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it