Evidence map›Paper›PMID 41776359›Full record

ArticleNPJ cardiovascular health2025

Characterizing lipoprotein profiles in coronary atherosclerosis development through quantitative lipidomics and proteomics approaches.

Hiroaki Takeda, Yoshihiro Izumi, Yui Koike, Tomonari Koike, Kohta Nakatani, Kosuke Hata, Masaki Matsumoto, Masashi Shiomi, Takeshi Bamba

Abstract read
In one paragraph

Article in NPJ cardiovascular health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Hiroaki TakedaDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Yoshihiro IzumiDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan. izumi@bioreg.kyushu-u.ac.jp.
Yui KoikeInstitute for Experimental Animals, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Japan.
Tomonari KoikeInstitute for Experimental Animals, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Japan.
Kohta NakataniDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Kosuke HataDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.
Masaki MatsumotoDepartment of Omics and Systems Biology, Graduate School of Medical and Dental Sciences, Niigata University, Chuo-ku, Niigata, Japan.
Masashi ShiomiInstitute for Experimental Animals, Kobe University Graduate School of Medicine, Chuo-ku, Kobe, Japan.
Takeshi BambaDivision of Metabolomics, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, Japan.

Funding

AMED-AIMGAIN 24zf0227103h0001AMED-BINDS JP22ama121055CURE JPMXP1323015486JST A-STEP JPMJTR204JJST-CREST JPMJCR22N5JST Moonshot JPMJMS2011-62JST-NBDC JPMJND2305KAKENHI JP21K14472KAKENHI JP22H05185KAKENHI JP23K13611KAKENHI JP24H00054
6 · The paper itself

Abstract

Lipoproteins, synthesized in the liver and secreted into the bloodstream, play a central role in lipid transport. Although their quality affects cardiovascular outcomes, conventional markers do not fully explain the disease risk. We characterized the lipoprotein composition during coronary atherosclerosis progression in myocardial infarction-prone rabbits, which consistently develop severe aortic lesions but show variable coronary stenosis at 20 months. This variation allowed for the exploration of coronary-specific factors that are often masked by other models. Using quantitative lipidomics and proteomics, we profiled 237 lipids and four apolipoproteins in lipoproteins every four months. Coronary severity was positively correlated with long-chain saturated ceramide levels in very-low- and low-density lipoprotein particles, specifically at eight months, reflecting an early disease stage. This correlation was independent of apolipoproteins and classical risk factors, such as cholesterol and triacylglycerol. Network analysis revealed that lipid class-specific clusters were associated with disease severity. This unbiased multi-omics approach provides novel insights into the contribution of lipoprotein composition to coronary atherosclerosis.

Identifiers

PMID41776359
PMCPMC12912432

What OpenQuestion 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 OpenQuestion graph.