ArticleMetabolites2022
Lipidome Alterations following Mild Traumatic Brain Injury in the Rat.
Article in Metabolites, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Altered hippocampal lipid profile underlies anxiety-like behavior secondary to mild traumatic brain injury.Molecular and cellular biochemistry · 2026Article
- Exosome-Based Diagnostics and Cell-Free Therapeutics for Traumatic Brain Injury: From Mechanisms to Bedside.International journal of nanomedicine · 2026Review
- Impact Induces Phagocytic Defect in Reactive Microglia.bioRxiv : the preprint server for biology · 2025Article
- Subcellular and macrostructural immediate responders to airblast traumatic brain injury.Scientific reports · 2025Article
- Near-Infrared Imaging of Glymphatic Clearance in a Pre-Clinical Model of Repetitive Closed Head Traumatic Brain Injury.Neurotrauma reports · 2025Article
- Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies.Sensors (Basel, Switzerland) · 2024Review
- The Role of Macronutrients and Gut Microbiota in Neuroinflammation Post-Traumatic Brain Injury: A Narrative Review.Nutrients · 2024Review
- Probiotic therapy modulates the brain-gut-liver microbiota axis in a mouse model of traumatic brain injury.Biochimica et biophysica acta. Molecular basis of disease · 2024Article
- New insights into metabolism dysregulation after TBI.Journal of neuroinflammation · 2024Review
- Integrative Analysis of Cytokine and Lipidomics Datasets Following Mild Traumatic Brain Injury in Rats.Metabolites · 2024Article
- Comparing Brain and Blood Lipidome Changes following Single and Repetitive Mild Traumatic Brain Injury in Rats.ACS chemical neuroscience · 2024Article
- Spatial lipidomics maps brain alterations associated with mild traumatic brain injury.Frontiers in chemistry · 2024Article
- Plasma biomarkers for brain injury in extracorporeal membrane oxygenation.Acute and critical care · 2023Article
- Mitochondrial Dysfunction and Apoptosis in Brain Microvascular Endothelial Cells Following Blast Traumatic Brain Injury.Cellular and molecular neurobiology · 2023Article
- Clinically-driven design of novel methods of investigation on skeletal health status in neurological disorders. The case of the traumatic brain injuries.Frontiers in neurology · 2023Article
- Plasma Lipid Profiles Change with Increasing Numbers of Mild Traumatic Brain Injuries in Rats.Metabolites · 2022Article
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
Traumatic brain injury (TBI) poses a major health challenge, with tens of millions of new cases reported globally every year. Brain damage resulting from TBI can vary significantly due to factors including injury severity, injury mechanism and exposure to repeated injury events. Therefore, there is need for robust blood biomarkers. Serum from Sprague Dawley rats was collected at several timepoints within 24 h of mild single or repeat closed head impacts. Serum samples were analyzed via ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) in positive and negative ion modes. Known lipid species were identified through matching to in-house tandem MS databases. Lipid biomarkers have a unique potential to serve as objective molecular measures of injury response as they may be liberated to circulation more readily than larger protein markers. Machine learning and feature selection approaches were used to construct lipid panels capable of distinguishing serum from injured and uninjured rats. The best multivariate lipid panels had over 90% cross-validated sensitivity, selectivity, and accuracy. These mapped onto sphingolipid signaling, autophagy, necroptosis and glycerophospholipid metabolism pathways, with Benjamini adjusted
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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 Socratic graph.