ReviewNature reviews. Rheumatology2017
Mixing omics: combining genetics and metabolomics to study rheumatic diseases.
Review in Nature reviews. Rheumatology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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
32 citing papers in PubMed, 60 citations in OpenAlex.
- A Lipid- and Inflammation-Related Metabolite Risk Score Predicts Incident Gout Among Individuals With Hyperuricemia: A Prospective Cohort Study.Clinical rheumatology · 2026Article
- The relationship between the gut microbiota and neuropsychological development and behaviour during childhood and adolescence: a systematic review of epidemiological studies.Brain, behavior, & immunity - health · 2026Review
- Prediagnostic Amino Acid Metabolites and Risk of Gout, Accounting for Serum Urate: Prospective Cohort Study and Mendelian Randomization.Arthritis care & research · 2024Article
- Gut microbiota: A magical multifunctional target regulated by medicine food homology species.Journal of advanced research · 2023Review
- Prediagnostic Glycoprotein Acetyl Levels and Incident and Recurrent Flare Risk Accounting for Serum Urate Levels: A Population-Based, Prospective Study and Mendelian Randomization Analysis.Arthritis & rheumatology (Hoboken, N.J.) · 2023Article
- Sexual Dimorphism of the Mouse Plasma Metabolome Is Associated with Phenotypes of 30 Gene Knockout Lines.Metabolites · 2023Article
- Cardiometabolic health, diet and the gut microbiome: a meta-omics perspective.Nature medicine · 2023Review
- Plasma metabolites distinguish dementia with Lewy bodies from Alzheimer's disease: a cross-sectional metabolomic analysis.Frontiers in aging neuroscience · 2023Article
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- Review
- Excess comorbidities in gout: the causal paradigm and pleiotropic approaches to care.Nature reviews. Rheumatology · 2022Review
- An anchored experimental design and meta-analysis approach to address batch effects in large-scale metabolomics.Frontiers in molecular biosciences · 2022Article
- The role of metabolomics in precision medicine of osteoarthritis: How far are we?Osteoarthritis and cartilage open · 2021Article
- Metabolomics in Autoimmune Diseases: Focus on Rheumatoid Arthritis, Systemic Lupus Erythematous, and Multiple Sclerosis.Metabolites · 2021Review
- Effects of long-term exercise and a high-fat diet on synovial fluid metabolomics and joint structural phenotypes in mice: an integrated network analysis.Osteoarthritis and cartilage · 2021Article
- An untargeted metabolomics study of blood pressure: findings from the Bogalusa Heart Study.Journal of hypertension · 2020Article
- Metabolomics: A Tool to Understand the Impact of Genetic Mutations in Amyotrophic Lateral Sclerosis.Genes · 2020Review
- Serum metabolites associate with lipid phenotypes among Bogalusa Heart Study participants.Nutrition, metabolism, and cardiovascular diseases : NMCD · 2020Article
- Metabolomic profiles of induced pluripotent stem cells derived from patients with rheumatoid arthritis and osteoarthritis.Stem cell research & therapy · 2019Article
- GC-MS method for metabolic profiling of mouse femoral head articular cartilage reveals distinct effects of tissue culture and development.Osteoarthritis and cartilage · 2019Article
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 at 2 institutions in 2 countries.
Funding
Abstract
Metabolomics is an exciting field in systems biology that provides a direct readout of the biochemical activities taking place within an individual at a particular point in time. Metabolite levels are influenced by many factors, including disease status, environment, medications, diet and, importantly, genetics. Thanks to their dynamic nature, metabolites are useful for diagnosis and prognosis, as well as for predicting and monitoring the efficacy of treatments. At the same time, the strong links between an individual's metabolic and genetic profiles enable the investigation of pathways that underlie changes in metabolite levels. Thus, for the field of metabolomics to yield its full potential, researchers need to take into account the genetic factors underlying the production of metabolites, and the potential role of these metabolites in disease processes. In this Review, the methodological aspects related to metabolomic profiling and any potential links between metabolomics and the genetics of some of the most common rheumatic diseases are described. Links between metabolomics, genetics and emerging fields such as the gut microbiome and proteomics are also discussed.
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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.