Ischemia-induced expression status of cofilin 1, CRSP2, HSP90, HSP27, and IL8 in epicardial adipose tissue and single cell transcriptomic profiling of stromal cells
Bibliographic record
Abstract
Epicardial adipose tissue (EAT) is a rich source of EAT-derived stromal cells (EATDS), which possess regenerative potential. CRSP2, HSP27, IL8, HSP90, and Cofilin 1 were detected in the secretome of left ventricular stromal cells under ischemia challenge. However, the association of these genes in the EAT and EATDS remain understudied. We aim to assess the status of cofilin 1, CRSP2, HSP27, IL8, and HSP90 in the EAT of myocardial infarction (MI) and coronary artery bypass graft (CABG) swine models and in vitro stimulated ischemic EATDS. Expression status of these proteins in EAT were assessed by immunostaining, and in EATDS using qRT-PCR, immunostaining, and Western blot. EATDS phenotyping was performed using sc-RNAseq analysis. Cofilin 1 was increased while the other four genes were decreased in the CABG. IL8 and HSP90 were increased, while CRSP2, HSP27, and cofilin 1 were decreased in the MI group. Similar trend was displayed in the expression of these genes in EATDS. Additionally, EATDS displayed versatile phenotypes at single cell resolution based on the differential expression of various gene signatures. The findings revealed novel insights into EAT/EATDS biology and further understanding regarding the EATDS sub-phenotypes would open novel avenues in translational cardiology.
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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) | 0.000 | 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) | 0.001 | 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".