Enhancement of neovascularization with mobilized blood cells transplantaion: Supply of angioblasts and angiogenic cytokines
Bibliographic record
Abstract
We have recently provided evidence that transplantation of G-CSF mobilized peripheral blood mononuclear cells (M-PBMNCs) improves limb ischemia in diabetic patients. This method represents a simple, safe, effective, and novel therapeutic approach for diabetic ischemia. Here we investigated the mechanisms by which mobilized blood cells transplantation improves limb ischemia. Unilateral hindlimb ischemia was surgically induced in streptozotocin-induced diabetic nude mice, and they were intramuscularly injected 10(6) M-PBMNCs, or human umbilical vein endothelial cells (HUVECs), PBS controls. We compared their blood-flow restoration via laser Doppler perfusion image (LDPI), angiogenesis via histological determination of capillary density. Physiological and histological assessment revealed an acceleration of ischemia recovery and increase in capillary density with less apoptosis in M-PBMNCs group, compared with those in HUVECs and PBS groups. In vivo noninvasive imaging and immunofluorescence revealed the survival, migration, proliferation, differentiation, and incorporation of M-PBMNCs into foci of vessel networks. More angioblasts were from blood cells after mobilization, and they also produced a number of antiapoptotic and proagniogenic factors that promoted angiogenesis in vivo. M-PBMNCs and its conditioned medium augmented the vessel formation in matrigel plugs in vivo. Thus, transplantation of M-PBMNCs achieved therapeutic neovascularization via supply of abundant angioblasts and angiogenic factors.
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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) | 0.000 | 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 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".