ArticleJournal of molecular neuroscience : MN2022
Parallel Metabolomic Profiling of Cerebrospinal Fluid, Plasma, and Spinal Cord to Identify Biomarkers for Spinal Cord Injury.
Article in Journal of molecular neuroscience : MN, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Broad-Coverage Lipidomics Reveals Temporal Lipid Remodeling and Candidate Serum Biomarkers After Acute Spinal Cord Injury in Rats.Biomedicines · 2026Article
- Lesion level and severity acutely influence metabolomic profiles in spinal cord injury.Journal of neuropathology and experimental neurology · 2026Article
- Machine Learning Identifies FLNA as a Key Molecular Target Regulating Neuronal Apoptosis after Spinal Cord Injury.Journal of molecular neuroscience : MN · 2025Article
- A Review of Pathophysiology, Molecular Mechanisms, and Omics Approaches of Spinal Cord Injury.International journal of molecular sciences · 2025Review
- The Utility of Metabolomics in Spinal Cord Injury: Opportunities for Biomarker Discovery and Neuroprotection.International journal of molecular sciences · 2025Review
- Evolution of Lipid Metabolism in the Injured Mouse Spinal Cord.Journal of neurotrauma · 2025Article
- The Role of Vitamins in Spinal Cord Injury: Mechanisms and Benefits.Oxidative medicine and cellular longevity · 2024Review
- Spatial multi-omics analysis of the microenvironment in traumatic spinal cord injury: a narrative review.Frontiers in immunology · 2024Review
- A swift expanding trend of extracellular vesicles in spinal cord injury research: a bibliometric analysis.Journal of nanobiotechnology · 2023Review
- Integrated transcriptomic and metabolomic profiling reveals dysregulation of purine metabolism during the acute phase of spinal cord injury in rats.Frontiers in neuroscience · 2022Article
- UPLC/Q-TOF MS-Based Urine Metabonomics Study to Identify Diffuse Axonal Injury Biomarkers in Rat.Disease markers · 2022Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Loss of physical and emotional health due to spinal cord injury (SCI) has been rapidly increasing worldwide. Effective evaluation of the severity of SCI is crucial to its prognosis. Herein, we constructed rat models of SCI with four different degrees of injury (sham group, light injury group, moderate injury group, and heavy injury group), using the surgical approach. Cerebrospinal fluid (CSF), plasma, and spinal cord were sampled at the sub-acute spinal cord (72 h post-injury) from each rat. The LC-MS-based metabolic profiling of these samples was performed according to a universal metabolome standard (UMS). The results demonstrated that 130, 104, and 128 metabolites were significantly altered within the CSF, plasma, and spinal cord samples, respectively. Among them, there were four differential metabolites, including uric acid, phosphorycholine, pyridoxine, and guanidoacetic acid, which were commonly identified within the CSF, plasma, and spinal cord samples. Further pathway analysis of these differential metabolites demonstrated a disturbance in the metabolism of glyoxylate and dicarboxylate and glycine, serine, and threonine which were associated with pathophysiologic consequence of spinal cord injury. In particular, phosphorycholine, pyridoxine, and guanidoacetic acid demonstrated a relationship with SCI severity. Thus, they could be utilized as potential metabolite biomarkers for SCI severity assessment.
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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.