Evidence map›Paper›PMID 40307879›Full record

ArticleBMC medicine2025

Molecular landscape of atherosclerotic plaque progression: insights from proteomics, single-cell transcriptomics and genomics.

Chaonan Wang, Yuyao Feng, Xiaoyan Liu, Haidan Sun, Zhengguang Guo, Jiang Shao, Kang Li, Junye Chen, Keqiang Shu, Deqiang Kong and 7 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

17 authors.

Chaonan Wang *Department of Hemangiomas & Vascular Malformations, Plastic Surgery Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Yuyao Feng *Department of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Xiaoyan Liu *Proteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, 100005, China.
Haidan SunProteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, 100005, China.
Zhengguang GuoProteomics Research Center, Core Facility of Instrument, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, 5 Dong Dan San Tiao, Beijing, 100005, China.
Jiang ShaoDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Kang LiDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Junye ChenDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Keqiang ShuDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Deqiang KongDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China.
Jiaxian WangEight-Year Program of Clinical Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Yiran LiBioinformatics Facility, National Infrastructure for Translational Medicine, Institute of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiangling LeiEight-Year Program of Clinical Medicine, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Chen LiDepartment of Emergency Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Bao LiuDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China. liubao@pumch.cn.
Wei SunState Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing, China. sunwei@ibms.pumc.edu.cn.
Zhichao LaiDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Shuaifuyuan 1, Dongcheng District, Beijing, 100730, China. zhichao_lai@126.com.

Funding

CAMS Innovation Fund for Medical Sciences 2023-I2M-C&T-B-017National High Level Hospital Clinical Research Funding 2022-PUMCH-A-078National High Level Hospital Clinical Research Funding 2022-PUMCH-A-189National Natural Science Foundation of China 82100521National Natural Science Foundation of China 82170524National Natural Science Foundation of China 82470516Natural Science Foundation of Beijing Municipality L248071
6 · The paper itself

Abstract

backgroundsAtherosclerosis is a major contributor to cardiovascular diseases worldwide. Despite advancements in understanding its pathology, significant gaps remain in the molecular characterization of atherosclerotic plaques. This study addresses this gap by extensively profiling the proteomic landscape of carotid atherosclerotic plaques, classified under the American Heart Association (AHA) types IV to VI, to identify potential biomarkers and therapeutic targets.

methodsThe study employed an integrated approach using data-independent acquisition (DIA) proteomics, single-cell RNA sequencing, and Mendelian randomization (MR). A total of 87 human carotid plaques were analyzed to identify and quantify protein expression. These proteins were then mapped to specific regions within the plaques, such as the fibrous cap and lipid core, and further validated in independent samples and single-cell datasets. Furthermore, Mendelian randomization techniques were employed to assess causal relationships between identified proteins levels and ischemic stroke.

resultsThe proteomic analysis of the 87 carotid plaques revealed 6143 proteins, highlighting diverse expression profiles across different plaque stages. Notably, proteins like CD44 and GAL-1 were predominantly expressed in the fibrous cap, suggesting a role in plaque stability, while TREM2, SMAD3, and IL-6R showed higher expression in the lipid core, indicating involvement in inflammatory processes. These findings were further corroborated by single-cell RNA sequencing, revealing cell-specific expression patterns that align with the observed proteomic data. Additionally, MR analysis indicated the causal role of IL6R, CD44, and SMAD3 in ischemic stroke.

conclusionsThis study provides valuable insights into the progression of atherosclerotic plaques, identifying key proteins that could serve as potential biomarkers and therapeutic targets. It enhances our molecular understanding of atherosclerosis and opens up new avenues for treatment. Additionally, our study demonstrates the accuracy and robustness of proteomics in prioritizing genes associated with plaque-related traits.

Indexed as

Plaque, AtheroscleroticProteomicsAgedBiomarkersDisease ProgressionFemaleGene Expression ProfilingGenomicsHumansMaleMendelian Randomization AnalysisMiddle AgedSingle-Cell AnalysisTranscriptomeBiomarkersAtherosclerosisCarotid artery stenosisMendelian randomizationProteomicsTherapeutic targets

Identifiers

PMID40307879
PMCPMC12044721

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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 OpenQuestion graph.