ReviewCroatian medical journal2012
18O-assisted dynamic metabolomics for individualized diagnostics and treatment of human diseases.
Review in Croatian medical journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Molecularly imprinted polyvinylbenzoic acid based sensor for highly sensitive detection of acute lymphoblastic leukemia biomarker.Analytical and bioanalytical chemistry · 2026Article
- Nobiletin Modulates Transcriptomic and Metabolomic Alterations in Aβ42-Induced Primary Rat Astrocytes: Implications for Alzheimer's Disease.Molecular neurobiology · 2026Article
- Global Proteomics for Identifying the Alteration Pathway of Niemann-Pick Disease Type C Using Hepatic Cell Models.International journal of molecular sciences · 2023Article
- Metabolic disorder in Alzheimer's disease.Metabolic brain disease · 2021Review
- Deep learning in pharmacogenomics: from gene regulation to patient stratification.Pharmacogenomics · 2018Review
- Application of Metabolomics in Alzheimer's Disease.Frontiers in neurology · 2017Review
- Proteomics, metabolomics, and protein interactomics in the characterization of the molecular features of major depressive disorder.Dialogues in clinical neuroscience · 2014Review
- Stem cell systems informatics for advanced clinical biodiagnostics: tracing molecular signatures from bench to bedside.Croatian medical journal · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Technological innovations and translation of basic discoveries to clinical practice drive advances in medicine. Today's innovative technologies enable comprehensive screening of the genome, transcriptome, proteome, and metabolome. The detailed knowledge, converged in the integrated "omics" (genomics, transcriptomics, proteomics, and metabolomics), holds an immense potential for understanding mechanism of diseases, facilitating their early diagnostics, selecting personalized therapeutic strategies, and assessing their effectiveness. Metabolomics is the newest "omics" approach aimed to analyze large metabolite pools. The next generation of metabolomic screening requires technologies for high throughput and robust monitoring of metabolite levels and their fluxes. In this regard, stable isotope 18O-based metabolite tagging technology expands quantitative measurements of metabolite levels and turnover rates to all metabolites that include water as a reactant, most notably phosphometabolites. The obtained profiles and turnover rates are sensitive indicators of energy and metabolic imbalances like the ones created by genetic deficiencies, myocardial ischemia, heart failure, neurodegenerative disorders, etc. Here we describe and discuss briefly the potential use of dynamic phosphometabolomic platform for disease diagnostics currently under development at Mayo Clinic.
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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.