ReviewAnalytica chimica acta2021
Multi-omics integration in biomedical research - A metabolomics-centric review.
Review in Analytica chimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 158 papers, 6 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
158 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Comparative phytochemical profiling and meta‑analysis of public transcriptomic datasets uncover species‑ and organ‑specific patterns of flavonoid and phenolic biosynthesis in Ferula species.BMC plant biology · 2026Pooled it
- Machine Learning for Multi-Omics Characterization of Blood Cancers: A Systematic Review.Cells · 2025Pooled it
- Dietary Omega-3 PUFAs in Metabolic Disease Research: A Decade of Omics-Enabled Insights (2014-2024).Nutrients · 2025Pooled it
- Lipidomics in Periodontal Disease Research: A Systematic Review.Current medicinal chemistry · 2025Pooled it
- Metabolomics biomarkers and related pathways in acute renal injury: a bibliometric investigation, meta-analysis, and systematic review.Frontiers in medicine · 2025Pooled it
- Crosstalk between ferroptosis and chondrocytes in osteoarthritis: a systematic review ofFrontiers in immunology · 2023Pooled it
- Multi-omics graph attention network reveals neuro-immune-tumor pathways in breast cancer liver depression syndrome.Frontiers in immunology · 2026Trial
- Artificial intelligence-driven discovery of coumarin-based therapeutics: Revolutionizing target identification and validation.Pharmaceutical science advances · 2026Review
- Comparative transcriptomic and metabolomic profiling of forest tea and terrace tea in Sandu, Guizhou, China.Food chemistry. Molecular sciences · 2026Article
- Reconstructing bovine disease trajectories through integrative multi-omics: molecular decision nodes, predictive biomarkers and precision intervention.Veterinary research communications · 2026Review
- Identifying Key Bioactive Components in Postbiotic Preparations: From Candidate Discovery to Functional Validation.Foods (Basel, Switzerland) · 2026Review
- Metabolic Reprogramming During Heat Stress and Short-Term Recovery inJournal of fungi (Basel, Switzerland) · 2026Article
- Article
- Circulating metabolites at the crossroads of lifestyle and brain health.Nature aging · 2026Article
- Epigenomics and Ayurgenomics: Molecular Analysis of Ayurvedic Prakriti in Personalized Healthcare.Cureus · 2026Review
- Artificial intelligence virtual extracellular vesicles (AIVEVs).Bioactive materials · 2026Review
- PEARL: integrative multi-omics classification and omics feature discovery via deep graph learning.Bioinformatics (Oxford, England) · 2026Article
- Novel salivary biomarkers of Alzheimer's disease identified by integrated metabolomics and microbiomics analysis.Clinical oral investigations · 2026Article
- Biocalorimetry for the biotechnological use of natural and synthetic macromolecules.Applied microbiology and biotechnology · 2026Review
- Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
98 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
Recent advances in high-throughput technologies have enabled the profiling of multiple layers of a biological system, including DNA sequence data (genomics), RNA expression levels (transcriptomics), and metabolite levels (metabolomics). This has led to the generation of vast amounts of biological data that can be integrated in so-called multi-omics studies to examine the complex molecular underpinnings of health and disease. Integrative analysis of such datasets is not straightforward and is particularly complicated by the high dimensionality and heterogeneity of the data and by the lack of universal analysis protocols. Previous reviews have discussed various strategies to address the challenges of data integration, elaborating on specific aspects, such as network inference or feature selection techniques. Thereby, the main focus has been on the integration of two omics layers in their relation to a phenotype of interest. In this review we provide an overview over a typical multi-omics workflow, focusing on integration methods that have the potential to combine metabolomics data with two or more omics. We discuss multiple integration concepts including data-driven, knowledge-based, simultaneous and step-wise approaches. We highlight the application of these methods in recent multi-omics studies, including large-scale integration efforts aiming at a global depiction of the complex relationships within and between different biological layers without focusing on a particular phenotype.
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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.