Abstract 4365619: Lipoprotein(a) particle characteristics and PCSK9 determine the monocyte subtype distribution in patients with increased Lp(a) levels

Background: Monocytes, particularly the proinflammatory intermediate subsets (IM), drive atherosclerosis and predict cardiovascular events. The elevated levels of lipoprotein(a) (Lp(a)) further modulate the monocyte dynamics. However, the impact of lipid-lowering proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors (PCSK9i) on monocyte distribution in high-risk patients remains unknown. Purpose: We aimed to evaluate the effect of the individual lipoproteins and PCSK9i on monocyte subtypes’ distribution in patients with stable coronary disease and significantly elevated Lp(a) levels. Methods: We included 100 statin-treated patients in stable phase after myocardial infarction and elevated Lp(a) levels. The patients received placebo or PCSK9i every two weeks for 6 months. Biochemical, genetic and cell analysis at baseline and after 6 months were performed. Results: At baseline, the IM levels correlated with total cholesterol (TC) (ρ=-0.202, p =0.044), triglycerides (ρ=-0.324, p <0.001), apoA1 (ρ=0.241, p =0.016), and PCSK9 levels (ρ=-0.282, p =0.006), while PCSK9 levels were additionally associated with the CC-motif chemokine ligand 2 (CCL2) (ρ=0.298, p =0.005), a key monocyte recruitment chemokine. Adding PCSK9i to maximal statin therapy did not significantly alter the distribution of any monocyte subtypes. After treatment with PCSK9i, only an association between IM and Lp(a) levels (ρ=-0.258, p =0.041) remained significant. The number of KIV-2 repeats positively correlated with CCL2 levels (ρ=0.319, p =0.011). Changes in IM levels correlated with changes in TC (ρ=-0.315, p =0.011), low density lipoprotein cholesterol (ρ=-0.279, p =0.026), and apoB concentrations (ρ=-0.400, p =0.001), whereas other associations remained non-significant. Conclusion: In high-risk patients, PCSK9i modulate monocyte-lipoprotein interactions without altering the monocyte subtype distribution. Our data suggest that PCSK9 may express the proinflammatory effects through regulating CCL2, with the CCL2 expression more strongly related to Lp(a) composition than concentration.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4365619
Primary Topic
Lipoproteins and Cardiovascular Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4365619: Lipoprotein(a) particle characteristics and PCSK9 determine the monocyte subtype distribution in patients with increased Lp(a) levels

Tina Levstek, Sabina Ugovšek, Andreja Rehberger Likozar, Philipp J. Hohensinner et al.
Circulation
Lipoproteins and Cardiovascular Health
article

Abstract 4365619: Lipoprotein(a) particle characteristics and PCSK9 determine the monocyte subtype distribution in patients with increased Lp(a) levels

Tina Levstek, Sabina Ugovšek, Andreja Rehberger Likozar, Philipp J. Hohensinner, Patrick Haider, Janja Zupan, Katarina Trebušak Podkrajšek, Miran Šebeštjen
article en

Abstract

Background: Monocytes, particularly the proinflammatory intermediate subsets (IM), drive atherosclerosis and predict cardiovascular events. The elevated levels of lipoprotein(a) (Lp(a)) further modulate the monocyte dynamics. However, the impact of lipid-lowering proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors (PCSK9i) on monocyte distribution in high-risk patients remains unknown. Purpose: We aimed to evaluate the effect of the individual lipoproteins and PCSK9i on monocyte subtypes’ distribution in patients with stable coronary disease and significantly elevated Lp(a) levels. Methods: We included 100 statin-treated patients in stable phase after myocardial infarction and elevated Lp(a) levels. The patients received placebo or PCSK9i every two weeks for 6 months. Biochemical, genetic and cell analysis at baseline and after 6 months were performed. Results: At baseline, the IM levels correlated with total cholesterol (TC) (ρ=-0.202, p =0.044), triglycerides (ρ=-0.324, p <0.001), apoA1 (ρ=0.241, p =0.016), and PCSK9 levels (ρ=-0.282, p =0.006), while PCSK9 levels were additionally associated with the CC-motif chemokine ligand 2 (CCL2) (ρ=0.298, p =0.005), a key monocyte recruitment chemokine. Adding PCSK9i to maximal statin therapy did not significantly alter the distribution of any monocyte subtypes. After treatment with PCSK9i, only an association between IM and Lp(a) levels (ρ=-0.258, p =0.041) remained significant. The number of KIV-2 repeats positively correlated with CCL2 levels (ρ=0.319, p =0.011). Changes in IM levels correlated with changes in TC (ρ=-0.315, p =0.011), low density lipoprotein cholesterol (ρ=-0.279, p =0.026), and apoB concentrations (ρ=-0.400, p =0.001), whereas other associations remained non-significant. Conclusion: In high-risk patients, PCSK9i modulate monocyte-lipoprotein interactions without altering the monocyte subtype distribution. Our data suggest that PCSK9 may express the proinflammatory effects through regulating CCL2, with the CCL2 expression more strongly related to Lp(a) composition than concentration.

CirculationVol. 152(Suppl_3)
University of Ljubljana (SI), Ljubljana University Medical Centre (SI), Biotechnical Educational Centre Ljubljana (SI), Medical University of Vienna (AT)
Openalex Percentile: Top 50%
Lipoproteins and Cardiovascular Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.