A majority of Alzheimer's disease (AD) cases are sporadic without known cause. People who suffered from traumatic brain injury (TBI) are more likely to develop neurodegeneration and cognitive impairments. However, the role of TBI in pathophysiology of AD remains elusive. The present study intended to explore the effect of TBI on metabolism and its role in AD pathogenesis. We subjected double transgenic AD model mice APP23/PS45 to TBI. We found that TBI promoted β-secretase cleavage of amyloid β precursor protein and amyloid β protein deposition, and exuberated the cognitive impairments in AD mouse models. H nuclear magnetic resonance (H-NMR)-based metabolomics with multivariate analysis was performed to investigate the characteristic metabolites and the related metabolic pathways in the serum and urine samples of the mice. TBI affected the metabolic patterns, methylamine metabolism, and amino acid metabolism in serum samples. Urinary metabolites showed that glycolysis and the tricarboxylic acid (TCA) cycle were perturbed. The results indicate that TBI might facilitate Alzheimer's pathogenesis by altering metabolism and inducing mitochondrial dysfunction. The study suggests that metabolite changes could also serve as biomarkers for TBI-induced neurodegeneration.
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http://dx.doi.org/10.1007/s12035-017-0687-z | DOI Listing |
Neurobiol Pain
December 2024
Virginia Polytechnic Institute and State University. Department of Biomedical Engineering, 325 Stranger St., Blacksburg, VA 24060, United States.
Chronic headaches and pain are prevalent in those who are exposure to blast events, yet there is a gap in fundamental data that identifies the pathological mechanism for the chronification of pain. Blast-related post-traumatic headaches (PTH) are understudied and chronic pain behaviors in preclinical models can be vital to help elucidate PTH mechanisms. The descending pain modulatory system controls pain perception and involves specific brain regions such as the cortex, thalamus, pons, and medulla.
View Article and Find Full Text PDFFront Immunol
January 2025
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Background: Leukocytes play an important role in inflammatory response after a traumatic brain injury (TBI). We designed this study to identify TBI phenotypes by clustering blood levels of various leukocytes.
Methods: TBI patients from the Medical Information Mart for Intensive Care-III (MIMIC-III) database were included.
Iran J Basic Med Sci
January 2025
Neuroscience Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Objectives: Traumatic brain injury (TBI) is a significant cause of mortality and disability worldwide. TBI has been associated with factors such as oxidative stress, neuroinflammation, and apoptosis, which are believed to be mediated by the N-methyl-D-aspartate (NMDA)-type glutamate receptor. Two NMDA receptor antagonists, ketamine and memantine, have shown potential in mitigating the pathophysiological effects of TBI.
View Article and Find Full Text PDFEClinicalMedicine
February 2025
Department of Rehabilitation Medicine, Third Affiliated Hospital of Soochow University, Changzhou, China.
Background: Traumatic brain injury (TBI) is a significant public health issue worldwide that affects millions of people every year. Cognitive impairment is one of the most common long-term consequences of TBI, seriously affect the quality of life. We aimed to develop and validate a predictive model for cognitive impairment in TBI patients, with the goal of early identification and support for those at risk of developing cognitive impairment at the time of hospital admission.
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Department of Laboratory, The People's Hospital of Wuyuan County, Shangrao, China. Electronic address:
Background: This retrospective study aimed to identify key prognostic factors for patients with traumatic intracranial hemorrhage (TICH) and develop a comprehensive nomogram for prognostic assessment.
Methods: A retrospective study was carried out on TICH patients at a single-center hospital from October 2013 to September 2022. Using logistic regression analyses, key prognostic factors for TICH were identified and used to create a predictive nomogram model.
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