ArticlePloS one2014
Establishment of quantitative severity evaluation model for spinal cord injury by metabolomic fingerprinting.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.
- Digital Health Interventions for Chronic Wound Management: A Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- Efficacy of intraosseous access for trauma resuscitation: a systematic review and meta-analysis.World journal of emergency surgery : WJES · 2023Pooled it
- Metabotyping Patients' Journeys Reveals Early Predisposition to Lung Injury after Cardiac Surgery.Scientific reports · 2017Trial
- Parallel Metabolomic Profiling of Cerebrospinal Fluid and Serum for Identifying Biomarkers of Injury Severity after Acute Human Spinal Cord Injury.Scientific reports · 2016Trial
- Use of 1H-nuclear magnetic resonance to screen a set of biomarkers for monitoring metabolic disturbances in severe burn patients.Critical care (London, England) · 2014Trial
- Lesion level and severity acutely influence metabolomic profiles in spinal cord injury.Journal of neuropathology and experimental neurology · 2026Article
- Article
- Evolution of Lipid Metabolism in the Injured Mouse Spinal Cord.Journal of neurotrauma · 2025Article
- Differences in Brain Metabolite Profiles Between Normothermia and Hypothermia.Journal of Korean medical science · 2024Article
- Spatial multi-omics analysis of the microenvironment in traumatic spinal cord injury: a narrative review.Frontiers in immunology · 2024Review
- The longitudinal biochemical profiling of TBI in a drop weight model of TBI.Scientific reports · 2023Article
- Boldine Alters Serum Lipidomic Signatures after Acute Spinal Cord Transection in Male Mice.International journal of environmental research and public health · 2023Article
- Integrated transcriptomic and metabolomic profiling reveals dysregulation of purine metabolism during the acute phase of spinal cord injury in rats.Frontiers in neuroscience · 2022Article
- Parallel Metabolomic Profiling of Cerebrospinal Fluid, Plasma, and Spinal Cord to Identify Biomarkers for Spinal Cord Injury.Journal of molecular neuroscience : MN · 2022Article
- Urinary metabolomic signatures as indicators of injury severity following traumatic brain injury: A pilot study.IBRO neuroscience reports · 2021Article
- The developing landscape of diagnostic and prognostic biomarkers for spinal cord injury in cerebrospinal fluid and blood.Spinal cord · 2017Review
- Predicting and managing sepsis in burn patients: current perspectives.Therapeutics and clinical risk management · 2017Article
- Eigenvector metabolite analysis reveals dietary effects on the association among metabolite correlation patterns, gene expression, and phenotypes.Metabolomics : Official journal of the Metabolomic Society · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spinal cord injury (SCI) is a devastating event with a limited hope for recovery and represents an enormous public health issue. It is crucial to understand the disturbances in the metabolic network after SCI to identify injury mechanisms and opportunities for treatment intervention. Through plasma 1H-nuclear magnetic resonance (NMR) screening, we identified 15 metabolites that made up an "Eigen-metabolome" capable of distinguishing rats with severe SCI from healthy control rats. Forty enzymes regulated these 15 metabolites in the metabolic network. We also found that 16 metabolites regulated by 130 enzymes in the metabolic network impacted neurobehavioral recovery. Using the Eigen-metabolome, we established a linear discrimination model to cluster rats with severe and mild SCI and control rats into separate groups and identify the interactive relationships between metabolic biomarkers in the global metabolic network. We identified 10 clusters in the global metabolic network and defined them as distinct metabolic disturbance domains of SCI. Metabolic paths such as retinal, glycerophospholipid, arachidonic acid metabolism; NAD-NADPH conversion process, tyrosine metabolism, and cadaverine and putrescine metabolism were included. In summary, we presented a novel interdisciplinary method that integrates metabolomics and global metabolic network analysis to visualize metabolic network disturbances after SCI. Our study demonstrated the systems biological study paradigm that integration of 1H-NMR, metabolomics, and global metabolic network analysis is useful to visualize complex metabolic disturbances after severe SCI. Furthermore, our findings may provide a new quantitative injury severity evaluation model for clinical use.
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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.