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Mathematical model of mechanobiology of acute and repeated synaptic injury and systemic biomarker kinetics.
Gharahi, Hamidreza; Garimella, Harsha T; Chen, Zhijian J; Gupta, Raj K; Przekwas, Andrzej.
Afiliación
  • Gharahi H; Biomedical and Data Sciences Division, CFD Research Corporation, Huntsville, AL, United States.
  • Garimella HT; Biomedical and Data Sciences Division, CFD Research Corporation, Huntsville, AL, United States.
  • Chen ZJ; Biomedical and Data Sciences Division, CFD Research Corporation, Huntsville, AL, United States.
  • Gupta RK; Department of Defense Blast Injury Research Program Coordinating Office, U.S. Army Medical Research and Development Command, Fort Detrick, MD, United States.
  • Przekwas A; Biomedical and Data Sciences Division, CFD Research Corporation, Huntsville, AL, United States.
Front Cell Neurosci ; 17: 1007062, 2023.
Article en En | MEDLINE | ID: mdl-36814869
ABSTRACT

Background:

Blast induced Traumatic Brain Injury (bTBI) has become a signature casualty of military operations. Recently, military medics observed neurocognitive deficits in servicemen exposed to repeated low level blast (LLB) waves during military heavy weapons training. In spite of significant clinical and preclinical TBI research, current understanding of injury mechanisms and short- and long-term outcomes is limited. Mathematical models of bTBI biomechanics and mechanobiology of sensitive neuro-structures such as synapses may help in better understanding of injury mechanisms and in the development of improved diagnostics and neuroprotective strategies. Methods and

results:

In this work, we formulated a model of a single synaptic structure integrating the dynamics of the synaptic cell adhesion molecules (CAMs) with the deformation mechanics of the synaptic cleft. The model can resolve time scales ranging from milliseconds during the hyperacute phase of mechanical loading to minutes-hours acute/chronic phase of injury progression/repair. The model was used to simulate the synaptic injury responses caused by repeated blast loads.

Conclusion:

Our simulations demonstrated the importance of the number of exposures compared to the duration of recovery period between repeated loads on the synaptic injury responses. The paper recognizes current limitations of the model and identifies potential improvements.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Cell Neurosci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Cell Neurosci Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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