PCSK9 inhibition in myeloid cells enhances cardioprotection beyond its LDL cholesterol-lowering effects
Bibliographic record
Abstract
BACKGROUND Circulating levels of proprotein convertase subtilisin/kexin type 9 (PCSK9), which regulates plasma cholesterol content by degrading LDL receptor, are correlated with the risk of acute myocardial infarction (AMI). Recent studies suggested that PCSK9 improves cardiac function beyond its effects on LDL cholesterol levels after cardiac ischemic injury, but its precise mechanism remains unclear. METHODS We examined the interrelationship and functional significance of PCSK9 and cardiac myeloid cells in ischemic hearts from AMI-induced Pcsk9 -/- and Lyz2 cre Pcsk9 fl/fl mice, as well as in serum samples from coronary artery disease (CAD) patients treated with PCSK9 antibodies (Ab). Single-cell RNA sequencing (scRNA-seq) was conducted to identify heterogenous cardiac macrophage clusters and to investigate the impact of adaptive remodeling due to PCSK9 deficiency during AMI. Additionally, the regulatory effect of the myeloid-PCSK9/VEGF-C pathway was assessed in vitro as a potential therapeutic strategy. RESULTS Our study demonstrated that PCSK9 deficiency induces diverse changes in myeloid cells and macrophages, potentially offering cardiac protection following AMI, irrespective of LDL cholesterol homeostasis. The scRNA-seq identified a subset of PCSK9-dependent cardiac macrophages (PDCMs) enriched in activator protein-1 (AP-1)–related pathways, functioning as reparative macrophages. These PDCMs were shown to enhance vascular endothelial growth factor C (VEGF-C) secretion and activate Akt signaling in cardiac endothelial cells, leading to improved cardiac remodeling. Notably, CAD patients treated with PCSK9 inhibitors exhibited increased numbers of myeloid cells with PDCM-like features, including elevated VEGF-C levels, consistent with our findings in mice. COUNCLUSIONS Targeting PCSK9 in myeloid cells could offer cardioprotective effects by increasing AP-1 activity and VEGF-C expression of PDCMs, presenting a novel approach to preventing cardiac dysfunction in AMI. This strategy could expand the clinical use of existing PCSK9 inhibitors beyond just lowering LDL cholesterol. Clinical Perspective What is New? Myeloid-PCSK9 deficiency attenuated cardiac dysfunction post-acute myocardial infarction (AMI) without affecting plasma lipid levels. These findings position PCSK9 as a novel immune regulator of macrophages, revealing functions independent of its role in LDL cholesterol regulation. We demonstrated PCSK9-dependent cardiac macrophages (PDCMs) that play a reparative role under ischemic conditions influenced by PCSK9, using single-cell RNA sequencing (scRNA-seq) of CD45 + leukocytes following AMI. Strong enrichment of AP-1 family proteins in PDCMs led to reparative VEGF-C signaling in endothelial cells and improved cardiac remodeling, independent of PCSK9’s conventional role in cholesterol homeostasis. In coronary artery disease (CAD) patients, PCSK9 inhibition augmented myeloid cell populations towards a reparative phenotype and elevated VEGF-C levels, aligning with our findings in mice. What Are the Clinical Implications? Myeloid-derived PCSK9 is pathobiologically significant, directly influencing immune functions and contributing to cardiac remodeling after AMI, suggesting that targeting myeloid-specific PCSK9 could be a valuable therapeutic approach. Given that the reparative effects of PCSK9 inhibitors on macrophages are preserved in CAD patients, this strategy could broaden the clinical applications of existing PCSK9 inhibitors beyond LDL cholesterol regulation.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".