ArticlePLoS genetics2015
The Human Blood Metabolome-Transcriptome Interface.
Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.
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Who cites it
65 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An atlas of genome-wide gene expression and metabolite associations and possible mediation effects towards body mass index.Journal of molecular medicine (Berlin, Germany) · 2023Pooled it
- Highlights of three metabolites HDL and reduction in blood pressure values after dietary fiber supplementation in overweight and obese normotensive women: a metabolomic study.Metabolomics : Official journal of the Metabolomic Society · 2023Trial
- Trial
- Modulation of the peripheral blood transcriptome by the ingestion of probiotic yoghurt and acidified milk in healthy, young men.PloS one · 2018Trial
- Integrative Multi-Omics Analysis Reveals the Genetic Architecture Landscape of the Blood Metabolome in Jersey Cattle.Animals : an open access journal from MDPI · 2026Article
- Integrated Metabolomic and Transcriptomic Analyses Reveal Alterations in the Serotonergic Synapse Pathway and a Robust Diagnostic Model in Ulcerative Colitis.Metabolites · 2026Article
- Deciphering cross-cohort metabolic signatures of immune responses and their implications for disease pathogenesis.Molecular systems biology · 2025Article
- Metabolite Genome-Wide Association in Hispanics with Obesity Reveals Genetic Risk and Interactions with Dietary Factors for Type 2 Diabetes.Metabolites · 2025Article
- Bidirectional causal associations between plasma metabolites and bipolar disorder.Molecular psychiatry · 2025Article
- Assessing the potential causal effects of 1099 plasma metabolites on 2099 binary disease endpoints.Nature communications · 2025Article
- The Causal Relationship Between Circulating Metabolites and the Risk of Atopic Dermatitis: A Two-Sample Mendelian Randomization Study.Clinical, cosmetic and investigational dermatology · 2025Article
- Analysis of transcriptome and metabolome characteristics of blood in yaks at different reproductive stages.Frontiers in veterinary science · 2025Article
- Comprehensive applications of the artificial intelligence technology in new drug research and development.Health information science and systems · 2024Review
- AutoFocus: a hierarchical framework to explore multi-omic disease associations spanning multiple scales of biomolecular interaction.Communications biology · 2024Article
- Regulatory gene network for coffee-like color morph of TYRP1 mutant of oujiang color common carp.BMC genomics · 2024Article
- Article
- Plasma metabolites and risk of seven cancers: a two-sample Mendelian randomization study among European descendants.BMC medicine · 2024Article
- Neuroprotective Mechanism of MOTS-c in TBI Mice: Insights from Integrated Transcriptomic and Metabolomic Analyses.Drug design, development and therapy · 2024Article
- Transcriptomic and metabolomic correlation analysis: effect of initial SOFrontiers in microbiology · 2024Article
- The effect of lipid metabolism disorder on patients with hyperuricemia using Multi-Omics analysis.Scientific reports · 2023Article
5 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
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biological systems consist of multiple organizational levels all densely interacting with each other to ensure function and flexibility of the system. Simultaneous analysis of cross-sectional multi-omics data from large population studies is a powerful tool to comprehensively characterize the underlying molecular mechanisms on a physiological scale. In this study, we systematically analyzed the relationship between fasting serum metabolomics and whole blood transcriptomics data from 712 individuals of the German KORA F4 cohort. Correlation-based analysis identified 1,109 significant associations between 522 transcripts and 114 metabolites summarized in an integrated network, the 'human blood metabolome-transcriptome interface' (BMTI). Bidirectional causality analysis using Mendelian randomization did not yield any statistically significant causal associations between transcripts and metabolites. A knowledge-based interpretation and integration with a genome-scale human metabolic reconstruction revealed systematic signatures of signaling, transport and metabolic processes, i.e. metabolic reactions mainly belonging to lipid, energy and amino acid metabolism. Moreover, the construction of a network based on functional categories illustrated the cross-talk between the biological layers at a pathway level. Using a transcription factor binding site enrichment analysis, this pathway cross-talk was further confirmed at a regulatory level. Finally, we demonstrated how the constructed networks can be used to gain novel insights into molecular mechanisms associated to intermediate clinical traits. Overall, our results demonstrate the utility of a multi-omics integrative approach to understand the molecular mechanisms underlying both normal physiology and disease.
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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.