Evidence map›Paper›PMID 41460411›Full record

ReviewCurrent atherosclerosis reports2025

Toward Precision Medicine in Atherosclerotic Cardiovascular Disease: Insights from Omics Data into Sex Differences.

Jelena Munjas, Sandra Vladimirov, Tamara Ratkovic, Laura Comi, Claudia Giglione, Ilija Tanaskovic, Tamara Gojkovic, Branka Rakic, Aleksandar Davidovic, Luka Vukmirovic and 4 more

Abstract readReview
In one paragraph

Review in Current atherosclerosis reports, 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

14 authors.

Jelena Munjas *Department of Medical Biochemistry, Faculty of Pharmacy, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Sandra Vladimirov *Department of Medical Biochemistry, Faculty of Pharmacy, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Tamara RatkovicDepartment of Medical Biochemistry, Faculty of Pharmacy, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Laura ComiDepartment of Pharmacological and Biomolecular Sciences 'Rodolfo Paoletti', Università degli Studi di Milano, Via G. Balzaretti 9, Milano, 20133, Italy.
Claudia GiglioneDepartment of Pharmacological and Biomolecular Sciences 'Rodolfo Paoletti', Università degli Studi di Milano, Via G. Balzaretti 9, Milano, 20133, Italy.
Ilija TanaskovicInstitute for Artificial Intelligence, Novi Sad, Serbia.
Tamara GojkovicDepartment of Medical Biochemistry, Faculty of Pharmacy, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.
Branka RakicInstitute for Artificial Intelligence, Novi Sad, Serbia.
Aleksandar DavidovicIntern Clinic, Clinical Ward for Cardiovascular Diseases, Clinical-hospital Centre Zvezdara, Belgrade, Serbia.
Luka VukmirovicIntern Clinic, Clinical Ward for Cardiovascular Diseases, Clinical-hospital Centre Zvezdara, Belgrade, Serbia.
Marko MilanovIntern Clinic, Clinical Ward for Cardiovascular Diseases, Clinical-hospital Centre Zvezdara, Belgrade, Serbia.
Dane CvijanovicIntern Clinic, Clinical Ward for Cardiovascular Diseases, Clinical-hospital Centre Zvezdara, Belgrade, Serbia.
Paolo MagniDepartment of Pharmacological and Biomolecular Sciences 'Rodolfo Paoletti', Università degli Studi di Milano, Via G. Balzaretti 9, Milano, 20133, Italy. paolo.magni@unimi.it.
Miron SopicDepartment of Medical Biochemistry, Faculty of Pharmacy, Faculty of Pharmacy, University of Belgrade, Belgrade, Serbia.

Funding

HORIZON EUROPE Marie Sklodowska-Curie Actions 101086397Italian Space agency N.2023-7-HH.0 CUP F13C23000050005, MicroFunExpoMinistry of Education, Science and Technological Development, Republic of Serbia through Grant Agreement with University of Belgrade-Faculty of Pharmacy No: 451-03-47/2024-01/ 200161
6 · The paper itself

Abstract

purpose of reviewAtherosclerotic cardiovascular disease (ASCVD) remains a leading cause of morbidity and mortality worldwide. Although there is increasing recognition of sex differences in ASCVD epidemiology, pathogenesis, and clinical outcomes, the underlying biological mechanisms are still insufficiently understood. Women often present with distinct disease phenotypes, such as a higher prevalence of fibrous plaques and microvascular dysfunction, compared with the lipid-rich, inflammatory plaques more typical in men. This review examines recent omics research to clarify the molecular basis of these sex-specific patterns and explores their implications for precision cardiovascular medicine. RECENT

findingsAdvances in genomics, epigenomics, transcriptomics, proteomics, and metabolomics have shown that sex differences in ASCVD arise from complex hormonal, genetic, epigenetic, and molecular interactions. The variety of available omics approaches offers the potential to discover sex-specific regulatory networks and therapeutic targets, thereby addressing persistent knowledge gaps. However, significant challenges remain, including integrating these diverse omics layers, harmonising datasets across platforms, managing substantial computational demands, and navigating ethical constraints related to data sharing. Multiomics technologies provide unprecedented opportunities to dissect sex-specific mechanisms in ASCVD and to refine individualised risk stratification and therapeutic strategies. Overcoming current analytical and infrastructural barriers through collaborative efforts, standardised methodologies, and responsible data governance will be critical to unlocking the full potential of multiomics in precision cardiovascular medicine. This review synthesises recent evidence across omics domains and underscores their potential to improve ASCVD prevention and treatment.

Indexed as

AtherosclerosisPrecision MedicineEpigenomicsFemaleGenomicsHumansMaleMetabolomicsProteomicsSex CharacteristicsSex FactorsAtherosclerotic cardiovascular diseaseBiomarkersOmicsPrecision medicineSex differences

Identifiers

PMID41460411
PMCPMC12748300

What Socratic holds

Textmetadata
LicenceCC BY
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.