Abstract 15261: Adipor2 Sirna-Mediated Knockdown Predominantly Polarizes Towards a M1 Phenotype in THP-1 Macrophages
Bibliographic record
Abstract
Introduction: Monocyte-derived macrophages (Mϕs) are the major innate immune cells in plaques, where they assume a more pro-inflammatory (M1) or anti-inflammatory (M2) Mϕ phenotype. Notably, M1 Mϕs are more abundant in unstable plaques, while M2 in stable plaques. Adiponectin receptor 1 (AdipoR1) and AdipoR2 are highly expressed in the monocyte/Mϕ lineage and largely mediate immune responses. Herein, we investigated the specific contribution of AdipoR1 and AdipoR2 on polarization towards a M1 or M2 Mϕ phenotype. Methods: siRNA-mediated knockdown of AdipoR1 and/or AdipoR2 was performed in THP-1 monocyte-derived Mϕs, and collected to perform, 1) qRT-PCR analyses on AdipoR1 and AdipoR2, and 2) flow cytometry analyses on M1 Mϕ markers: CD86, CD80, MHC-II, and M2 Mϕ markers: CD206, CD163. Results: For qRT-PCR analyses, siRNA-mediated knockdown of single AdipoR1 and AdipoR2 significantly decreased the mRNA levels of their respective receptor (p<0.01, p<0.0001), while the opposing receptor was unaffected. Double knockdown resulted in a significant decrease in both AdipoR1 and AdipoR2 mRNA levels (p<0.001, p<0.0001). For flow cytometry analyses, single AdipoR1 and double AdipoR1/R2 siRNA led to a significant decrease in ΔMFI (mean fluorescence intensity) of MHC-II (p<0.01), while a significant increase was observed in single AdipoR2 siRNA (p<0.01). Intracellular siRNA-mediated knockdown of AdipoR1 and/or AdipoR2 did not result in a significant loss of their cell surface expression, as confirmed via dot plots analyses. Lastly, single AdipoR1 and double AdipoR1/R2 siRNA exhibited decreased % MHC-II/CD86-positive cells (p<0.01, p<0.001), while single AdipoR2 siRNA increased % MHC-II/CD86-positive cells (p<0.05). Conclusions: Despite intracellular siRNA-mediated knockdown of AdipoR1 and/or AdipoR2, their cell surface expression remains intact. Furthermore, single AdipoR2 siRNA was associated with an increase in M1 Mϕ population (MHC-II/CD86), which is in line with our previous evidence showing decreased AdipoR2 signalling in unstable plaques. Thus, downregulation of AdipoR2 may play a role in polarization predominantly towards a M1 phenotype in THP-1 Mϕs and hence could be mechanistically relevant in the development of unstable plaques.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".