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Paper · 42979256

Multi-omics in coronary atherosclerosis: mechanistic insights and advances in precision diagnosis and treatment.

Chen J and 7 others. Front Endocrinol (Lausanne), 2026.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. Multi-omics in coronary atherosclerosis: mechanistic insights and advances in precision diagnosis and treatment. Papers, record 42979256. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42979256

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title
Multi-omics in coronary atherosclerosis: mechanistic insights and advances in precision diagnosis and treatment.
Journal
Front Endocrinol (Lausanne)
Year
2026
Publication types
Journal Article, Review
Revised in PubMed
2026-11-05

Source PubMed

Authors8

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

OrderAuthorForenameKindORCID iD
1Chen JJialong
2Duan FFengsen
3Zhu GGuizhen
4Liu HHaiping
5Wang XXiaoying
6Cui YYueying
7Luo YYuan
8Zhang HHaitao

Source PubMed

Topics8

NLM's MeSH indexing of the paper, its major topics first.

MeSH termMajor
MultiomicsMajor topic
Coronary Artery DiseaseMajor topic
Precision MedicineMajor topic
Humans
Metabolomics
Genomics
Biomarkers
Proteomics

Source PubMed

Grants0

Each grant PubMed's record writes, matched to the NIH project NIH's grant and paper links name for this paper, and each of those links the record does not write.

None in this release.

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References92

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

OrderPMIDTitleJournalYearIn PapersSource
135,001,873RNA N6-methyladenosine modulates endothelial atherogenic responses to disturbed flow in mice.Elife2022https://conductscience.org/library/papers/35001873PubMed
221,247,313A prospective natural-history study of coronary atherosclerosis.N Engl J Med2011https://conductscience.org/library/papers/21247313PubMed
340,931,012Integrated single-cell atlas of human atherosclerotic plaques.Nat Commun2025https://conductscience.org/library/papers/40931012PubMed
441,220,154Metabolic Vulnerability Index and Atherosclerosis Incident: A Prospective Cohort Study From the UK Biobank.J Am Heart Assoc2025https://conductscience.org/library/papers/41220154PubMed
541,393,100Single-cell multi-omics for precision cardiovascular and longevity medicine: from methods to clinical translation.Front Aging2025https://conductscience.org/library/papers/41393100PubMed
641,101,252Integrating multi-modal omics to identify therapeutic atherosclerosis pathways for coronary heart disease.EBioMedicine2025https://conductscience.org/library/papers/41101252PubMed
741,124,095A multi-omics approach uncovers causality of IL6R on endotypes of subclinical carotid atherosclerosis and the possible role of the IL6R/OSMR pathway.Cardiovasc Res2025https://conductscience.org/library/papers/41124095PubMed
840,398,293H3K27Me3 abundance is associated with a decreased barrier function of endothelial cells by directly silencing VE-cadherin expression.Atherosclerosis2025https://conductscience.org/library/papers/40398293PubMed
941,844,614Vascular smooth muscle cell state trajectories mediate molecular mechanisms of coronary disease risk.Nat Commun2026https://conductscience.org/library/papers/41844614PubMed
1042,289,048Decoding disease and therapy through multiomics integration and systems analysis.Brief Bioinform2026https://conductscience.org/library/papers/42289048PubMed

Cited by0

The papers in our copy of PubMed whose reference list names this one, newest first.

None in this release.

Genes0

The genes the Gene search release ties to the paper: Swiss-Prot's references first, then PubTator's text mining.

None in this release.

Drugs0

The drugs whose trials, in the Pipelines release, list the paper.

None in this release.

Data0

The data bank entries PubMed's record names. Trial numbers are under Trials.

None in this release.

Data dates

The date of each source this release read.

PubMed
2026-11-06
PubMed
iCite
2026-11-05
iCite
PMC's ID file
2026-11-05
PMC's ID file
NIH RePORTER's grant and paper links
2026-11-01
NIH RePORTER's grant and paper links
Trials
2026-11-12
Gene search
2026-11-11
Pipelines
2026-09-18

Sources 11

  • ChEMBL, through Open TargetsCC BY-SA 3.0
  • ClinicalTrials.govNo license stated
  • HGNCCC0
  • iCiteCC BY 4.0
  • NCBI GenePublic domain (US government)
  • NIH RePORTER's grant and paper linksPublic domain
  • Open TargetsCC0 1.0
  • PMC's ID filePublic domain (US government)
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • HGNCCC0: https://www.genenames.org/about/license/
  • iCiteCC BY 4.0
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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