The effect of fatty acid binding protein-3 exposure on endothelial transcriptomics
Bibliographic record
Abstract
Abstract Background Fatty acid binding protein-3 (FABP3) is released in circulation following myocardial infarction and an increased level of circulatory FABP3 is also reported in peripheral artery disease patients exposing endothelial cells to higher level of FABP3. Recently, loss of endothelial FABP3 was shown to protect endothelial cells against inflammation-induced endothelial dysfunction, however, the effect of FABP3-exposure on endothelial cells is unknown. Accordingly, to study the effect of FABP3-exposure on endothelial cells we performed transcriptomic profiling following recombinant human FABP3 (rhFABP3) treatment to endothelial cells. Method Cultured human endothelial cells were treated with either vehicle or rhFABP3 (50 ng/ml, 6h) and then RNA-sequencing was performed. Gene expression analysis followed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to identify differentially expressed genes and affected cellular functions and pathways. Results Differential gene expression analysis revealed kinesin family member 26b ( KIF26B ) as the most upregulated and survival of motor neuron 2 ( SMN2 ) as the most downregulated genes in rhFABP3-treated in comparison to vehicle-treated endothelial cells. Most of the differentially expressed genes were associated with endothelial cell motility, immune response, and angiogenesis. GO and KEGG analyses indicated that rhFABP3 exposure impacts several crucial pathways, prominently “Regulation of leukocyte mediated cytotoxicity” and “Natural killer cell mediated cytotoxicity”, suggesting its involvement in endothelial cell physiology and response mechanisms to cardiovascular stress. Conclusion This is the first study evaluating rhFABP3-induced transcriptomics in human endothelial cells. Our data reveal novel genes and pathways affected by FABP3-exposure to endothelial cells. Further research is necessary to validate these findings and fully understand FABP3’s role in endothelial biology and in cardiovascular diseases like myocardial infarction and peripheral artery 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".