ReviewIndian journal of clinical biochemistry : IJCB2015
Metabolomics: A Tool Ahead for Understanding Molecular Mechanisms of Drugs and Diseases.
Review in Indian journal of clinical biochemistry : IJCB, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Urinary Metabolomic Profiling in Obstructive Sleep Apnoea Hypopnoea Syndrome.Journal of sleep research · 2026Observational
- Article
- Divergent Patterns of Metabolite Expression in Red Seaweeds (Life (Basel, Switzerland) · 2025Article
- Application of Metabolomics and Machine Learning for the Prediction of Postmortem Interval.Cureus · 2024Review
- Growth Properties and Metabolomic Analysis Provide Insight into Drought Tolerance in Barley (International journal of molecular sciences · 2024Article
- Multi-Omics Analysis Reveals the Toxicity of Polyvinyl Chloride Microplastics toward BEAS-2B Cells.Toxics · 2024Article
- Biomolecular Actions by Intestinal Endotoxemia in Metabolic Syndrome.International journal of molecular sciences · 2024Review
- Circulating Palmitoyl Sphingomyelin Is Associated With Cardiovascular Disease in Individuals With Type 2 Diabetes: Findings From the China Da Qing Diabetes Study.Diabetes care · 2022Article
- Computational analyses of mechanism of action (MoA): data, methods and integration.RSC chemical biology · 2022Review
- InnovativeFrontiers in genetics · 2022Review
- Comprehensive Transcriptomic and Metabolomic Analysis of theFrontiers in immunology · 2022Article
- Applications of machine learning in metabolomics: Disease modeling and classification.Frontiers in genetics · 2022Review
- Defining Blood Plasma and Serum Metabolome by GC-MS.Metabolites · 2021Review
- Unravelling the Anticancer Mechanisms of Traditional Herbal Medicines with Metabolomics.Molecules (Basel, Switzerland) · 2021Review
- Metabolomics: A Scoping Review of Its Role as a Tool for Disease Biomarker Discovery in Selected Non-Communicable Diseases.Metabolites · 2021Article
- Molecular modeling and LC-MS-based metabolomics of a glutamine-valproic acid (Gln-VPA) derivative on HeLa cells.Molecular diversity · 2021Article
- Mining Anti-Inflammation Molecules FromFrontiers in cellular and infection microbiology · 2021Article
- Pharmacological Evaluation of Drugs in Animal Models of Tinnitus.Current topics in behavioral neurosciences · 2021Review
- Systems Medicine Disease: Disease Classification and Scalability Beyond Networks and Boundary Conditions.Frontiers in bioengineering and biotechnology · 2018Article
- Brain Metabolic Changes in Rats following Acoustic Trauma.Frontiers in neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To refer to metabolomics as a new field is injustice to ancient doctors who used ants to diagnose the patients of diabetes having glycosuria. Measuring the levels of molecules in biological fluids believing them to be the representatives of biochemical pathways of carbohydrates, fats, proteins, nucleic acids or xenobiotic metabolism and deciphering meaningful data from it is what can be called as metabolomics, just as high glucose in urine suggests diabetes mellitus. Genomics, epigenetics, proteomics, transcriptomics finally converge to metabolomics, which are the signatures of mechanisms of bodily processes which is why understanding this science can have many applications. Just as a heap of stones does not make a house, having data of metabolite levels does not make it a science. Analyzing this data would help us in constructing biochemical pathways and their interactions. Analyzing the changes caused by a drug in the metabolite levels would help us in deriving the mechanisms by which the drug acts. Comparing metabolite levels in diseased with non-diseased, good-responders with poor-responders to a particular drug can help in identifying new markers of a disease or response to a drug respectively. Also, metabolite levels of an endogenous substrate can tell us the status of a person's metabolizing enzymes and help in drug dose titration. Generating hypothesis by identifying the new molecular markers and testing their utility in clinics seems to be the most promising approach in future. This review narrates the modes of quantifying and identifying metabolome, its proposed applications in diagnosis, monitoring and understanding the diseases and drug responses. We also intend to identify hindrances in using metabolomics in clinical studies or experiments.
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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.