ArticleNature communications2017
Reconciled rat and human metabolic networks for comparative toxicogenomics and biomarker predictions.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 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
108 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A narrative review of metabolomics approaches in identifying biomarkers of doxorubicin-induced cardiotoxicity.Metabolomics : Official journal of the Metabolomic Society · 2025Pooled it
- Changes in Plasma Metabolomic Profile Following Bariatric Surgery, Lifestyle Intervention or Diet Restriction-Insights from Human and Rat Studies.International journal of molecular sciences · 2023Trial
- Environmental formermSystems · 2026Article
- Recent advances in the construction of humanized animal models and applications in translational medicine.Animal models and experimental medicine · 2026Review
- Personalized metabolite biomarker predictions reveal heterogeneous characteristics of Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Reconstruction of human metabolic models with large language models.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Use of Spice Herbs May Reduce Chronic Inflammation and Improve the Quality of Life of Women with Metabolic Syndrome-A Narrative Review.Nutrients · 2026Review
- Vitamins as Modulators of Neurodegenerative Disease Pathways: Mechanisms and Therapeutic Perspectives.Nutrients · 2026Review
- Cetoleic acid and other long-chain unsaturated fatty acids as neuroprotective nutraceuticals.Lipids in health and disease · 2026Review
- Flux sampling and context-specific genome-scale metabolic models for biotechnological applications.Trends in biotechnology · 2026Review
- Metabolite coupling analysis and metabolite-flux coupling analysis of genome-scale metabolic models.Frontiers in bioinformatics · 2026Article
- A systems-level integration of liver-kidney transcriptomics and genome-scale metabolic models reveals organ-specific injury mechanisms.Frontiers in toxicology · 2026Article
- Modelling reliable metabolic phenotypes by analysing the context-specific transcriptomics data.NPJ systems biology and applications · 2025Article
- Article
- Acidifying agents impact erlotinib and gefitinib pharmacokinetic parameters and elevate liver enzymes in Wistar rats.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025Article
- Constraint based modeling of drug induced metabolic changes in a cancer cell line.NPJ systems biology and applications · 2025Article
- Longitudinal big biological data in the AI era.Molecular systems biology · 2025Review
- In vivo and in silico models of Drosophila for Parkinson's disease.The FEBS journal · 2025Review
- Article
- ThermOptCobra: Thermodynamically optimal construction and analysis of metabolic networks for reliable phenotype predictions.iScience · 2025Article
48 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
8 authors.
Funding
Abstract
The laboratory rat has been used as a surrogate to study human biology for more than a century. Here we present the first genome-scale network reconstruction of Rattus norvegicus metabolism, iRno, and a significantly improved reconstruction of human metabolism, iHsa. These curated models comprehensively capture metabolic features known to distinguish rats from humans including vitamin C and bile acid synthesis pathways. After reconciling network differences between iRno and iHsa, we integrate toxicogenomics data from rat and human hepatocytes, to generate biomarker predictions in response to 76 drugs. We validate comparative predictions for xanthine derivatives with new experimental data and literature-based evidence delineating metabolite biomarkers unique to humans. Our results provide mechanistic insights into species-specific metabolism and facilitate the selection of biomarkers consistent with rat and human biology. These models can serve as powerful computational platforms for contextualizing experimental data and making functional predictions for clinical and basic science applications.
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.