ReviewArteriosclerosis, thrombosis, and vascular biology2023
Multiomics Network Medicine Approaches to Precision Medicine and Therapeutics in Cardiovascular Diseases.
Review in Arteriosclerosis, thrombosis, and vascular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 81 citations in OpenAlex.
- Comparative Effectiveness of Aerobic Exercise versus Resistance Training on Cardiometabolic Health in Patients with Diabesity: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.Journal of sports science & medicine · 2026Pooled it
- Fermented dairy product consumption and blood lipid levels in healthy adults: a systematic review.Frontiers in nutrition · 2025Pooled it
- Review
- [Artificial intelligence and cardiovascular biobanks: Shared technological promise and ethical responsibility].Revista medica del Instituto Mexicano del Seguro Social · 2026Article
- Review
- Human biomarker navigator.iMeta · 2026Review
- The Role of Inflammation and Immunity in Cardiovascular Disease: Molecular Mechanisms and Therapeutic Targets.MedComm · 2026Review
- Molecular Research in Cardiovascular Disease, 3rd Edition.International journal of molecular sciences · 2026Article
- Explainable and Trustworthy Artificial Intelligence in Cardiology: A Narrative Review of Clinical Applications, Operational Integration, and Future Directions.Journal of clinical medicine · 2026Review
- Ferroptosis-driven immune remodeling in heart failure: the central role of macrophage reprogramming and impaired efferocytosis.Journal of nanobiotechnology · 2026Review
- Multi-omics insights into uric acid metabolism in cardiometabolic disease: from genetics to metabolomics.Biomedical journal · 2026Review
- AI and network biology for rational polypharmacology in signaling drug design: a review.NPJ precision oncology · 2026Review
- Mitochondrial-Endothelial Crosstalk in Cardiometabolic Disease: Mechanisms and Translational Opportunities in the Multi-omics Era.Reviews in cardiovascular medicine · 2026Review
- Precision cardiovascular medicine with big data and AI.NPJ digital medicine · 2026Review
- The Microbial Mechanisms of Cardiovascular Disease: Oral Dysbiosis as a Systemic Instigator.Journal of cardiovascular translational research · 2026Review
- Multiomics: the intersection of personalized nutrition in cardiometabolic diseases.Journal of translational medicine · 2026Review
- Investigating Potential 5' UTR G-Quadruplexes Within NRF2 mRNA.Current issues in molecular biology · 2026Article
- Next-Generation Antioxidants in Cardiovascular Disease: Mechanistic Insights and Emerging Therapeutic Strategies.Antioxidants (Basel, Switzerland) · 2026Review
- Integrated multi-omics and machine learning identify an interaction between SLC39A11 and phosphoinositide metabolism in deep vein thrombosis.BMC medical informatics and decision making · 2026Article
- An Integrative Review of the Cardiovascular Disease Spectrum: Integrating Multi-Omics and Artificial Intelligence for Precision Cardiology.Diseases (Basel, Switzerland) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Cardiovascular diseases (CVD) are the leading cause of death worldwide and display complex phenotypic heterogeneity caused by many convergent processes, including interactions between genetic variation and environmental factors. Despite the identification of a large number of associated genes and genetic loci, the precise mechanisms by which these genes systematically influence the phenotypic heterogeneity of CVD are not well understood. In addition to DNA sequence, understanding the molecular mechanisms of CVD requires data from other omics levels, including the epigenome, the transcriptome, the proteome, as well as the metabolome. Recent advances in multiomics technologies have opened new precision medicine opportunities beyond genomics that can guide precise diagnosis and personalized treatment. At the same time, network medicine has emerged as an interdisciplinary field that integrates systems biology and network science to focus on the interactions among biological components in health and disease, providing an unbiased framework through which to integrate systematically these multiomics data. In this review, we briefly present such multiomics technologies, including bulk omics and single-cell omics technologies, and discuss how they can contribute to precision medicine. We then highlight network medicine-based integration of multiomics data for precision medicine and therapeutics in CVD. We also include a discussion of current challenges, potential limitations, and future directions in the study of CVD using multiomics network medicine approaches.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.