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At least 19 recordsLinked to original sources
PubMed1975

Respiration and acid-base balance of blood after diffuse experimental brain injury.

Diffuse brain injury in rabbits was caused by injecting olive oil and saline into one internal carotid artery. In this report, the fourth of a series, the effects of this experimental brain injury on respiration and acid-base balance of blood are analyzed. The animals that withstood the injury best were those that had a lower pre-traumatic pCO2; the animals that suffered a rise in intracranial pressure and succumbed to the injury quickly did so in spite of pronounced hyperventilation after the injury. Arterial pCO2 immediately before the injury was the only significant prognostic factor in this analysis. Respiratory rate only dropped immediately before respiratory arrest and death. The findings concerning pCO2 tally with results after experimental ligation of a cerebral artery, but less so with results after other types of experimental brain injury. This emphasizes again that conclusions drawn from one type of brain injury must not be extrapolated to other types.

Acid-Base Equilibrium↗
PubMed2026

The role of artificial intelligence in the diagnosis and prognosis of traumatic brain injury based on brain CT scans: a systematic review.

Traumatic brain injury (TBI) is a leading cause of emergency department visits and a major contributor to injury-related mortality and long-term neurological disability. Non-contrast computed tomography (CT) is the gold-standard imaging modality for the rapid diagnosis of TBI. Clinical outcomes depend strongly on early detection and prompt acute management. Artificial intelligence (AI)-based models may support faster automated identification of traumatic findings and early prediction of patient prognosis. A systematic literature search was conducted in PubMed/MEDLINE, Scopus, IEEE Xplore, ACM Digital Library, and the Cochrane Library in accordance with PRISMA 2020 guidelines to evaluate AI-based models for automated detection of TBI-related findings on CT and for prediction of clinical outcomes. Risk of bias and applicability were assessed using QUADAS-2 for diagnostic accuracy studies and PROBAST + AI for prediction model studies. Twenty-two studies were included. Sixteen studies evaluated diagnostic tasks and 10 evaluated prognostic outcomes, with four studies contributing to both categories. Diagnostic performance was generally high, with many studies reporting AUC values approaching or exceeding 0.90, particularly for larger lesion volumes.Prognostic performance was more variable, with moderate to high discrimination and substantial heterogeneity. Only 9 studies incorporated independent external validation, and performance was frequently lower in external cohorts. All prognostic model studies were judged to be at high overall risk of bias using PROBAST + AI, and most diagnostic accuracy studies also demonstrated high or unclear risk of bias in at least one QUADAS-2 domain, most frequently in patient selection. AI-based models applied to brain CT demonstrate strong technical performance for both diagnostic and prognostic tasks in TBI. However, most studies relied on retrospective designs and lacked independent external validation which limits models generalizability and raises concern for potential overfitting. Prospective, multicenter studies with standardized methodologies and rigorous external validation are required before widespread clinical implementation.

Humans↗
PubMed1977

Cerebrospinal fluid enzymes in acute brain injury. 1. Dynamics of changes in CSF enzyme activity after acute experimental brain injury.

Changes in CSF enzyme activity were studied after brain trauma for their prognostic value. Raised values of CPK and HBDH were demonstrated in the CSF of patients with severe brain injuries. Standardised cold lesions of the brain were induced in cats. The activities of the enzymes CPK, HBDH, LDH, GOT, GPT, and pseudocholinesterase were studied at half hour intervals in the cerebrospinal fluid and at hourly intervals in the serum. A statistically highly significant increase of all enzymes studied developed in the CSF. The greatest changes occurred within four hours of freezing. Large increases could occur in half an hour. Isoenzyme studies demonstrated that CPK and LDH were of cerebral origin. No consistently significant changes could be shown in the serum enzyme activity. It is concluded that after brain injuries, enzymes are released into the extracellular fluid of the brain and transported to the CSF. The limited value of a single enzyme estimation is emphasised. The results described seem to provide indirect evidence for transependymal flow of extracellular fluid in brain oedema.

Alanine Transaminase↗
PubMed2026

Development of a High-Sensitivity Glycoproteomics Approach for Fc-Specific Quantification of IgG Core Fucosylation in Traumatic Brain Injury.

Traumatic brain injury (TBI) triggers complex neuroinflammatory cascades that involve sustained immune activation and dysregulated antibody effector functions. Immunoglobulin G (IgG) Fc N-glycosylation, particularly core fucosylation, critically modulates immune signaling through altered Fcγ receptor (FcγR) interactions; however, its role in TBI remains unexplored. Here, we developed a high-sensitivity, mass spectrometry-based glycoproteomics method for the systematic analysis of IgG Fc core fucosylation dynamics following TBI. The approach integrates Fc-specific enzymatic truncation with GlycINATOR (EndoS2) and tryptic digestion, followed by high-resolution LC-MS/MS profiling, enabling confident identification of truncated Fc glycopeptides. Furthermore, a targeted parallel reaction monitoring (PRM) strategy allowed direct quantification of core fucosylated and afucosylated glycopeptides from 10 μg of crude serum protein, eliminating the need for IgG purification. Our results reveal time-dependent and subclass-specific remodeling of IgG Fc fucosylation postinjury, characterized by an overall reduction in fucosylated species and a relative increase in afucosylation. Collectively, this study establishes a scalable analytical platform for Fc-specific glycosylation profiling and identifies IgG core fucosylation as a candidate molecular indicator of immune dysregulation in TBI, providing new insights into post-traumatic immune regulation.

Brain Injuries, Traumatic↗
PubMed2026

Post-Translational Modifications in Traumatic Brain Injury: Decoding the Proteomic Landscape and Molecular Mechanisms of Secondary Injury.

Traumatic brain injury (TBI) initiates a complex secondary injury cascade that significantly contributes to long-term neurological deficits, with post-translational modifications (PTMs) emerging as pivotal molecular regulators of this process. Unlike primary mechanical damage, secondary injury evolves over hours to years and involves intricate proteomic alterations that changes in gene expression alone cannot fully explain. PTMs-including phosphorylation, ubiquitination, acetylation, SUMOylation, glycosylation, and emerging modifications such as succinylation, lactylation, and nitrosylation-serve as dynamic molecular switches that fine-tune protein function, stability, localization, and interactions in response to TBI-induced stressors. These modifications play dual roles: they can either promote neuroprotection and recovery or drive pathological processes such as neuronal cell death (via apoptosis, necroptosis, and ferroptosis), neuroinflammation through glial activation and inflammasome signaling, blood-brain barrier disruption, mitochondrial dysfunction, and impaired synaptic plasticity. Critically, extensive crosstalk exists among different PTM pathways-such as the interplay between phosphorylation and ubiquitination in protein degradation or the competitive balance between acetylation and SUMOylation-that collectively shape cellular fate after injury. This nuanced regulatory network presents both challenges and opportunities for therapeutic intervention. Targeting PTM-related enzymes, including kinases, phosphatases, E3 ligases, and histone deacetylases, has shown promise in preclinical models, while novel strategies like Proteolysis-Targeting Chimeras (PROTACs) and repurposed drugs (e.g., metformin, resveratrol) offer innovative avenues for modulating the PTM landscape. Advances in high-throughput proteomics and mass spectrometry are enabling the mapping of TBI-specific PTM signatures across spatiotemporal phases, facilitating the identification of pro-survival versus pro-death modification thresholds. Despite hurdles in clinical translation-such as blood-brain barrier penetration and off-target effects-the growing understanding of PTM dynamics underscores their potential as both biomarkers and therapeutic targets. Future TBI management may thus rely on precision medicine approaches that integrate multi-PTM profiling to guide combination therapies aimed at tipping the balance toward neural repair and functional recovery.

Brain Injuries, Traumatic↗
PubMed2026

Artificial Intelligence-Driven Multi-Omics Analysis Reveals Hydroxytyrosol Targeting of the TXNIP-NLRP3 Inflammasome Axis in Traumatic Brain Injury.

Traumatic brain injury (TBI) induces secondary neuroinflammation driven by oxidative stress, inflammasome activation, and immune remodeling, yet specific mechanism-guided pharmacological interventions remain limited. This study established an artificial intelligence (AI)-integrated network pharmacology and multi-omics framework to evaluate whether hydroxytyrosol (HT), an olive-derived natural polyphenol, may regulate TBI-related neuroinflammatory targets centered on the TXNIP/NLRP3 inflammasome axis. Starting from the SMILES structure of HT, potential targets were predicted using PharmMapper, SwissTargetPrediction, and the Similarity Ensemble Approach and were standardized to UniProt identifiers. TBI-associated genes were integrated from GeneCards, DisGeNET, OMIM, and the Therapeutic Target Database. The overlapping target set was analyzed using STRING-based protein-protein interaction (PPI) networks, MCODE, CytoHubba, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Public GEO transcriptomic datasets (GSE123831 and GSE104687) were used for cross-platform expression validation, differential expression analysis, and exploratory CIBERSORT-based immune infiltration estimation. Random forest (RF), multilayer perceptron (MLP), graph convolutional network (GCN), graph attention network (GAT), SHAP/LIME explainability analysis, LASSO inflammatory-risk scoring, and two-sample Mendelian randomization (MR) were further applied for target prioritization, immune phenotype mapping, and genetic association analysis. Seventy-three overlapping HT-TBI targets were identified. PPI and topology analyses prioritized TXNIP, NLRP3, CASP1, MAPK1, and TP53 as key hubs enriched in inflammasome activation, oxidative stress, apoptosis, and NOD-like receptor signaling. TXNIP, NLRP3, and CASP1 were consistently upregulated in both TBI transcriptomic datasets. LM22-based immune deconvolution suggested increased pro-inflammatory immune signatures and a positive TXNIP-M1 macrophage association (r&#x202f;=&#x202f;0.63, p < 0.001), which should be interpreted as a transcriptome-derived hypothesis rather than validated murine immune-cell proportions. AI-based models consistently ranked TXNIP/NLRP3 as high-contribution features under internal validation, and removal of these targets reduced model performance. A five-gene inflammatory score achieved an internally evaluated AUC of 0.87, while two-sample MR supported positive genetic associations involving TXNIP expression, TBI risk, NLRP3 and IL-1&#x3b2; expression. Collectively, these findings prioritize the TXNIP/NLRP3/CASP1 module as a computationally supported candidate mechanism through which HT may influence oxidative stress-inflammasome-immune coupling in TBI. This study provides an interpretable drug-target-pathway-phenotype framework and identifies TXNIP, NLRP3, and CASP1 as priority nodes for future experimental validation.

Artificial Intelligence↗
PubMed1977

Cerebrospinal fluid enzymes in acute brain injury. 2. Relation of CSF enzyme activity to extent of brain injury.

The value of CSF enzyme estimations as indices of the extent of brain damage was studied in the experimental situation. Standard cold lesions of different severity were induced in cats. The activities of the enzymes CPK, HBDH, LDH, GOT, AND ChE were studied at half hour intervals in the cerebrospinal fluid (CSF). The ventricular and cisternal fluid pressure, and the arterial blood pressure were monitored continuously. Significantly higher enzyme levels were found in the animals with more severe injuries of the brain.

Alanine Transaminase↗
PubMed1976

Fluid-percussion model of mechanical brain injury in the cat.

Mechanical brain injury was produced in 36 cats with a fluid-percussion model in which brain damage or dysfunction is produced by a single, brief, hydraulically-induced pressure transient that is conducted through the brain. Fluid-percussion injury induce elastic deformation of the brain resembling the brain deformation known to occur following head impact. Physiological responses and pahtological changes following injury were expressed as a function of peak pressure. Macroscopic central nervous system lesions concentrated at the pontomesencephalic junction, cervicomedullary junction, and in the cerebellar tonsils were consistently observed at and above 2.6 atmospheres (atm). At higher levels of injury (greater than or equal to 3.2 atm) there was extensive basal subarachnoid hemorrhage. At very high levels of injury (greater than 4.0 atm) hemorrhagic contusions were noted at the cerebral hemisphere impact site. A spectrum of neuronal alterations was identified in the damaged areas. Computer analysis showed correlation of electroencephalographic (EEG) changes with the neuropathological changes, since EEG recovery became severely impaired above 2.6 atm. No EEG changes were noted below 1.5 atm. From 1.5 to 2.2 atm there was a physiological response to injury but no significant changes were seen on neuropathological examination. This range of injury should permit further studies of the more subtle changes following mechanical brain injury without intraparenchymal hemorrhage or subarachnoid hemorrhage. The fluid-percussion model relates brain deformation following mechanical loading to a single pressure transient that is easily measured and controlled. Further quantitative investigation into the pathobiology of mechanical brain injury following graded brain deformation is thus made possible.

Animals↗
PubMed1977

[Periarticular ossification following severe brain injury].

A particular ossification should be considered besides primary neurological causes, if there are functional restrictions of the joint movements after severe head trauma. New bone formation has been seen extending from the periarticular tissue. The problems of the new bone formation in both hip-joints are shown in a patient with traumatic apallic syndrome. After exact indication and with careful and atraumatic operative technique functional restitution of the joints can be achieved without danger of recurrence.

Adult↗
PubMed1978

[Deadly brain injuries (author's transl)].

Among 503 deadly brain injuries 71% have been caused by traffic accidents. In 93 patients the brain injury was not the direct cause of death. Total observations included: 170 intracranial haemorrhages; 106 smashes of the skull and 104 contusions. In patients with subdural and epidural haematomas angiography and trepanation were used in few cases.

Accidents, Home↗
PubMed2026

Admission whole-blood transcriptomic characterization of a neutrophil-predominant systemic immune response in patients with acute traumatic brain injury.

BACKGROUND: Acute traumatic brain injury (TBI) is accompanied by systemic immune responses, but their whole-blood transcriptomic features at hospital arrival remain incompletely characterized. We aimed to characterize these features in patients with acute TBI compared with healthy controls. METHODS: In this single-center prospective observational study, we performed whole-blood RNA sequencing on hospital-arrival samples from 42 patients with acute TBI and 21 healthy controls. Analyses included differential expression (limma-voom; FDR < 0.05, |log2FC| > 0.7), functional enrichment, Ingenuity Pathway Analysis, CIBERSORTx LM22 deconvolution, and per-sample neutrophil degranulation signature scoring. RESULTS: Differential expression analysis identified 996 upregulated and 863 downregulated genes, with marked upregulation of inflammation-, innate immunity-, and neutrophil-related genes including DUSP1, HMGB2, MMP9, and S100A8. Canonical pathways with positive IPA z-scores included Neutrophil degranulation, Neutrophil Extracellular Trap Signaling Pathway, and Toll-like Receptor Signaling; upstream regulators included TNF, IL1B, IFNG, and STAT3. Deconvolution identified 7 of 22 differing subsets (q < 0.05), with relatively higher myeloid and lower lymphoid fractions in TBI. The Neutrophil degranulation signature score correlated with Injury Severity Score within TBI (Spearman &#x3c1; = +0.55; q < 0.001). CONCLUSIONS: Admission whole-blood transcriptomics characterized a neutrophil-predominant systemic transcriptional response in patients with acute TBI. This response was also evident among patients without major extracranial injury and was associated with total ISS. However, because the study lacked an appropriately matched non-TBI trauma comparator, the findings should be interpreted as a descriptive characterization of a systemic injury response accompanying TBI and do not establish a TBI-specific molecular signature or mechanism.

gene expression↗
PubMed2026

Role of Polygenic Risk Scores in Predicting Cognitive Functioning after Mild Traumatic Brain Injury: A TRACK-TBI Study.

Patients with traumatic brain injury (TBI) and Glasgow Coma Scale scores of 13-15 (historically called mild TBI [mTBI]) commonly experience changes in cognitive functioning, including processing speed, memory, and executive functioning. In a prospective sample (N = 523) of individuals of European descent who had been treated in a U.S. level 1 trauma center for mTBI, we examined the prognostic value of four polygenic risk scores (PRS) for cognitive outcomes at 6-months postinjury. To estimate the impact of mTBI on cognition, primary cognitive outcomes were scaled as z-scores reflecting changes in performance relative to predicted preinjury performance. The PRS examined were previously developed and validated to predict cognition-related outcomes of educational attainment (Education-PRS), intelligence (Intelligence-PRS), and Alzheimer's disease (AD-mild traumatic brain injury (APOE)-PRS and AD + APOE-PRS). Both the Education-PRS and Intelligence-PRS displayed bivariate associations with all four cognitive outcomes (&#x3b2; = 0.19-0.32), whereas neither Alzheimer's disease PRS was significantly associated with any outcome. After controlling for other factors known to predict cognitive outcomes of TBI (e.g., sex, education, mTBI severity defined by a combination of Glasgow Coma Scale scores and the presence/absence of acute intracranial findings on clinical neuroimaging), the Education-PRS and Intelligence-PRS remained independently predictive of verbal episodic memory (&#x3b2; = 0.10-0.16), whereas their associations with processing speed and executive functioning were mostly nonsignificant and were mediated through educational attainment. Looking across primary z-score and secondary raw score outcomes, cognitive outcomes 6 months post-mTBI were good on average, and PRS made small independent contributions to outcome prediction. The mediation model findings may support theories of cognitive reserve, which propose that individuals with stronger preinjury cognitive processing abilities (often estimated by educational history) can better compensate for TBI. Moreover, findings indicate that PRS may contribute modestly to multivariable models predicting cognitive function after TBI.

Humans↗
PubMed1977

The effects of PaCO2 reduction on regional cerebral blood flow in the acute phase of brain injury.

In 26 unconscious patients with brain injuries, regional cerebral blood flow (rCBF) was measured with a 16-channel Cerebrograph before and after acute reduction of PaCO2. The intra-arterial 133xenon washout technique was used, and CBF was calculated regionally as initial slope index or stochastic flow. The CO2 reactivity was calculated as deltaln CBV/deltaPaCO2. In supratentorial cortical lesions, an acute fall in PaCO2 increased the homogeneity of the regional flow pattern (decrease in the standard deviation of the regional flow values), and reduced the number of focal hyperaemic regions (tissue peaks). The CO2 reactivity in tissue peak regions was generally higher than in regions without tissue peaks. In severely injured patients with a poor outcome (dementia, vegetative survival or death), inverse steal reaction was accounted for in 11% of all regions, but only in 3% of the regions in patients who survived without dementia. Inverse steal reaction was most frequently seen during the first 3 days after the trauma. In repeated CBF studies, an increase in the CO2 reactivity with time was observed after the acute trauma. In comparison with the CO2 reactivity found in normocapnic awake subjects, this increase was higher than expected in several cases.

Adolescent↗
PubMed1979

[Three cases of brain injury due to windshield impact (author's transl)].

Three cases of brain injury due to windshield impact (tempered windshield) were reported. In the case of brain injury, multitude of small cracks injured the frontal lobe through the orbital roof with facial injuries due to windshield impact. Though we are apt to misdiagnose because of very small wounds, the diagnosis can be made easily from the plain film. The craniotomy, with complete removal of glass fragments and dural plasty, must be performed for the purpose of preventing infection and cerebrospinal fluid rhinorrhea. We believe that the use of seat belt and H.P.R. type laminated windshield is the best precaution against the windshield impact.

Accidents, Traffic↗
PubMed1978

[Problems concerning head and brain injuries (author's transl)].

Treatment of patients with head and brain injuries is highly dependent on qualified initial care, diagnostic and therapeutic activities inside the clinic, the after treatment outside the hospital and rehabilitation. Every patient of this kind has to be observed for at least two days in a hospital. Before discharge the diagnosis has to be defined. The author proposes a new classification: slight, middle, severe and highly-severe brain injury.

Brain Concussion↗
PubMed2026

Effect of ketofol versus Fentanyl-Midazolam sedation on neurological recovery in traumatic brain Injury: A randomised study.

Neurological recovery after traumatic brain injury (TBI) is multifactorial, and sedation is a cornerstone of neurocritical care because of its neuroprotective role. Although ketofol is widely used for anaesthesia, its effectiveness as a sedative regimen in the intensive care unit (ICU) has not been well studied. This preliminary exploratory double-blind, randomised study compared ketofol (KP) with fentanyl-midazolam (FM) sedation in adults with moderate-to-severe TBI. Sedation was administered for 72&#xa0;h and titrated to a Richmond Agitation-Sedation Scale (RASS) score&#xa0;&#x2264;&#xa0;&#xa0;-&#xa0;3. The primary outcome was the Extended Glasgow Outcome Scale (GOSE) at 30&#xa0;days. Secondary outcomes included GOSE at 90&#xa0;days, incidence of propofol infusion syndrome (PRIS), duration of mechanical ventilation, haemodynamic stability, and ICU and hospital length of stay. Of 120 enrolled patients, 111 were included in the final analysis (57 FM, 54 KP). Baseline characteristics, including injury severity and Marshall CT scores, were comparable. At 30&#xa0;days, good neurological recovery (GOSE 7-8) was more frequent in the KP group than the FM group (26% vs. 10.5%, p&#xa0;=&#xa0;0.03). At 90&#xa0;days, recovery remained higher with KP (44.4% vs. 33.3%), though the difference was not statistically significant (p&#xa0;=&#xa0;0.16). Multivariate analysis confirmed ketofol as an independent predictor of good recovery at 30&#xa0;days (adjusted OR 3.63, 95% CI 1.11-11.85, p&#xa0;=&#xa0;0.033). No PRIS occurred, and secondary outcomes were similar. Ketofol-based sedation was safe and may be associated with improved early neurological recovery compared with fentanyl-midazolam, with a favourable trend toward improved long-term neurological recovery.

Humans↗