ReviewNature reviews. Cardiology2021
Systems biology in cardiovascular disease: a multiomics approach.
Review in Nature reviews. Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 1 of them a synthesis 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
134 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Integrative systems biology analysis of barley transcriptome ─ hormonal signaling against biotic stress.PloS one · 2023Pooled it
- Rationale and design of Dongzong CArdIovascuLar Bio-imaging RegistrY (DAILY) study: Bridging multiomics, imaging and cardiovascular disease.American journal of preventive cardiology · 2026Article
- Natural product therapy in diabetic kidney disease: emerging multiomics-mediated signalling pathway and molecular target.Chinese medicine · 2026Review
- CYP2D6 as an Emerging Endogenous Oxidative Stress Modulator in Cardiovascular Disease: Genetic, Pharmacological, and Redox Perspectives.Antioxidants (Basel, Switzerland) · 2026Review
- Machine learning-based integration identifies a 10-gene predictive signature and its classification patterns in schizophrenia.European archives of psychiatry and clinical neuroscience · 2026Article
- Glutamine Metabolism in Cardiac Hypertrophy.Reviews in cardiovascular medicine · 2026Review
- Environmental Toxic Metals and Metalloids Exposure and Cardiovascular Health: Current Evidence from Oxidative Stress and Inflammatory Biomarkers as Indicators of Subclinical Cardiovascular Effects.Antioxidants (Basel, Switzerland) · 2026Review
- Deciphering the rules of regulated cell death subroutines by in silico methods.Journal of advanced research · 2026Review
- Multi-omics-driven precision medicine.iMeta · 2026Review
- Multi-Omics Integration in Stroke: Neuroinflammatory Endotypes, Immune Cell Crosstalk, and Precision Biomarker Discovery.International journal of molecular sciences · 2026Review
- Proteomics profiling for cardiovascular risk prediction: transforming clinical care.European heart journal. Acute cardiovascular care · 2026Article
- Per- and Polyfluoroalkyl Substances Exposure and Ischemic Heart Disease: Emerging Evidence from the Literature.Antioxidants (Basel, Switzerland) · 2026Review
- Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications.Signal transduction and targeted therapy · 2026Review
- Integrative multi-omics and machine learning reveal glycolysis-related biomarkers driving vascular remodeling in pulmonary arterial hypertension.Molecular and cellular biochemistry · 2026Article
- Multi-region proteomic mapping identifies FTL1 and SERPINA3K as protective factors in cardiac aging.Cell death & disease · 2026Article
- Identification of lipid metabolism-related biomarkers in familial hypercholesterolemia via integrated bioinformatics and machine learning approaches.Journal of cardiothoracic surgery · 2026Article
- Identification of biomarkers for non-invasive diagnosis and risk stratification in prostate cancer using NMR-based metabolomics and machine learning.NPJ precision oncology · 2026Article
- Emerging Cardiovascular Risk Factors in Chronic Kidney Disease in the "Omics" Era: Gut and Beyond.Mayo Clinic proceedings · 2026Review
- Multiomics for Risk Stratification in Atherosclerotic Cardiovascular Disease.Circulation. Genomic and precision medicine · 2026Review
- Precision cardiovascular medicine with big data and AI.NPJ digital medicine · 2026Review
74 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Omics techniques generate large, multidimensional data that are amenable to analysis by new informatics approaches alongside conventional statistical methods. Systems theories, including network analysis and machine learning, are well placed for analysing these data but must be applied with an understanding of the relevant biological and computational theories. Through applying these techniques to omics data, systems biology addresses the problems posed by the complex organization of biological processes. In this Review, we describe the techniques and sources of omics data, outline network theory, and highlight exemplars of novel approaches that combine gene regulatory and co-expression networks, proteomics, metabolomics, lipidomics and phenomics with informatics techniques to provide new insights into cardiovascular disease. The use of systems approaches will become necessary to integrate data from more than one omic technique. Although understanding the interactions between different omics data requires increasingly complex concepts and methods, we argue that hypothesis-driven investigations and independent validation must still accompany these novel systems biology approaches to realize their full potential.
Indexed as
Identifiers
33340009What 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.