ReviewProgress in nuclear magnetic resonance spectroscopy
NMR-based metabolomics: Where are we now and where are we going?
Review in Progress in nuclear magnetic resonance spectroscopy. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Metabodeconplus-An R Package for Automated Deconvolution and Alignment of 1D NMR Metabolomics Data.Metabolites · 2026Article
- Biomarkers for Necrotising Enterocolitis-Are We There Yet?Children (Basel, Switzerland) · 2026Review
- Integrating Nuclear Magnetic Resonance into Bioprocess Control of Clinical-Grade Extracellular Vesicle Manufacturing.Journal of extracellular vesicles · 2026Review
- Article
- Systematic evaluation of pre-analytical variables on synovial fluid metabolomic profiles using GC-ToF-MS and UHPLC-MS.The Analyst · 2026Article
- Harnessing Metabolomics to Advance Nutrition-Based Therapeutics for Inflammation: A Systematic Review of Randomized Clinical Trials.Metabolites · 2025Review
- The Protective Mechanism of Moderate Intensity Continuous Training on TMAO-Induced Myocardial Injury Based on NMR Metabolomics.International journal of molecular sciences · 2025Article
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
Abstract
The fast-growing field of metabolomics focuses on the analyses of complicated mixtures of small molecules present in biological samples. To date, metabolomics has provided a wealth of information on biological systems and impacted numerous areas of basic and life sciences. A major focus of metabolomics has been on biomedicine with the goal of biomarker discovery, drug discovery and improved mechanistic understanding of the pathogenesis of many human diseases. Analytical methods play a pivotal role in metabolomics, with the two most widely used platforms being nuclear magnetic resonance (NMR) spectroscopy and mass spectrometry (MS). Among their many complementary capabilities, NMR is generally more reproducible and quantitative, whereas MS is more sensitive. Recent technological advances in NMR have resulted in multifaceted developments, including improvements in sensitivity, resolution and speed, along with expanded metabolite identification and quantitation, which together provide exciting potential for future studies. In addition to NMR developments, the combination of NMR with MS provides numerous benefits that are becoming more evident over time. Hence, the metabolomics field has witnessed an increased number of studies and applications that combine NMR with MS in numerous areas, including new methods development for unknown identification, metabolite quantitation, disease biomarker discovery, mechanistic understanding of disease pathogenesis, and dietary risk factors of diseases among others. This report describes the current status of state-of-the-art methods in NMR-based metabolomics, along with recent advances and future prospects, with an emphasis on the benefits of combining NMR with MS.
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.