TREM2 encodes plaque macrophage plasticity to mediate atherosclerosis regression

Cholesterol lowering therapies stabilize atherosclerotic plaque and reduce ischemic events, but the molecular mechanisms governing plaque remodeling or regression remain poorly defined. The lipid sensor TREM2 is a key modulator of plaque-associated foam cell development and was upregulated by plaque macrophages in atherosclerosis regression. We examined macrophage- or monocyte-specific Trem2 deletion during regression in mice and found that TREM2 expression on plaque macrophages, not newly recruited monocytes, was required for plaque regression. Trem2 deletion impeded necrotic core resolution, leading us to interrogate the efferocytic capacity of TREM2+ cells during lipid lowering. An in vitro model of cholesterol-experienced ex-lipid associated macrophages (Ex-LAMs) demonstrated that prior lipid priming enhanced efferocytic ability after unloading lipids and maintained expression of lysosomal and cytoskeletal remodeling genes. Augmented TREM2 signaling through genetic models or agonist treatment accelerated efferocytic ability in vitro and plaque regression in vivo. Thus, we posit that a TREM2-dependent ExLAM programming drives atherosclerosis resolution and facilitates beneficial plaque remodeling through enhanced efferocytosis. Overall, targeting the TREM2 pathway may be a viable strategy for stabilizing atherosclerotic plaques in patients treated with aggressive cholesterol control.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-11-02
DOI
https://doi.org/10.64898/2026.10.31.763330
Primary Topic
Atherosclerosis and Cardiovascular Diseases
Type
preprint

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

TREM2 encodes plaque macrophage plasticity to mediate atherosclerosis regression

Patricia R. Schrank, Su‐Jeong Lee, Tessa J. Barrett, Yingyue Zhou et al.
bioRxiv (Cold Spring Harbor Laboratory)
Atherosclerosis and Cardiovascular Diseases
preprint

TREM2 encodes plaque macrophage plasticity to mediate atherosclerosis regression

Patricia R. Schrank, Su‐Jeong Lee, Tessa J. Barrett, Yingyue Zhou, Marco Colonna, Michael T. Patterson, Ainsley E. Kennedy, Gage Michael Stuttgen, Hannah Hillman, Jesse W. Williams, Michael D. Chang, Omer Mitha
preprint en

Abstract

Cholesterol lowering therapies stabilize atherosclerotic plaque and reduce ischemic events, but the molecular mechanisms governing plaque remodeling or regression remain poorly defined. The lipid sensor TREM2 is a key modulator of plaque-associated foam cell development and was upregulated by plaque macrophages in atherosclerosis regression. We examined macrophage- or monocyte-specific Trem2 deletion during regression in mice and found that TREM2 expression on plaque macrophages, not newly recruited monocytes, was required for plaque regression. Trem2 deletion impeded necrotic core resolution, leading us to interrogate the efferocytic capacity of TREM2+ cells during lipid lowering. An in vitro model of cholesterol-experienced ex-lipid associated macrophages (Ex-LAMs) demonstrated that prior lipid priming enhanced efferocytic ability after unloading lipids and maintained expression of lysosomal and cytoskeletal remodeling genes. Augmented TREM2 signaling through genetic models or agonist treatment accelerated efferocytic ability in vitro and plaque regression in vivo. Thus, we posit that a TREM2-dependent ExLAM programming drives atherosclerosis resolution and facilitates beneficial plaque remodeling through enhanced efferocytosis. Overall, targeting the TREM2 pathway may be a viable strategy for stabilizing atherosclerotic plaques in patients treated with aggressive cholesterol control.

bioRxiv (Cold Spring Harbor Laboratory)
University of Minnesota (US), Massachusetts General Hospital (US), Center for Computational and Integrative Biology, Massachusetts General Hospital (US), New York University (US), Stanford University (US)
American Heart Association
Good health and well-being
Atherosclerosis and Cardiovascular Diseases
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.

Laika access coming soon