Evidence map›Paper›PMID 41778696›Full record

ReviewJACC. Asia2026

Cholesterol-Inflammation Fusion Hypothesis in Atherosclerosis: An Evolving Paradigm in Pathogenesis and Therapy.

Rui-Xiang Zeng, Sha Li, Jian-Jun Li

Abstract readReview
In one paragraph

Review in JACC. Asia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rui-Xiang ZengThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou, China.
Sha LiCardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jian-Jun LiCardiometabolic Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, National Clinical Research Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. Electronic address: lijianjun938@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis (AS) remains the leading cause of cardiovascular morbidity and mortality worldwide despite advances in multidimensional prevention and treatment. We propose a novel cholesterol-inflammation fusion hypothesis, a unifying framework that conceptualizes AS as a self-perpetuating disease driven by the bidirectional and synergistic interplay between dysregulated cholesterol metabolism and chronic vascular inflammation. Mechanistically, cholesterol crystals, oxidized low-density lipoprotein, and aggregated low-density lipoprotein promote macrophage and vascular smooth muscle cell lipid accumulation and activate inflammatory signaling, whereas cytokines impair cholesterol efflux and amplify lipid accumulation. Clinical evidence demonstrates that controlling either lipid or inflammatory pathways alone leaves residual risk, whereas simultaneous regulation yields the greatest benefit. This paradigm provides a conceptual basis for dual-target therapeutic strategies. This review outlines mechanistic insights and translational implications of this fusion hypothesis, aiming to guide future precision risk stratification and therapy design in atherosclerotic cardiovascular disease.

Indexed as

atherosclerosisatherosclerotic cardiovascular diseasecholesterol-inflammation fusion hypothesisfusion risk

Identifiers

PMID41778696
PMCPMC12959312

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.