A Kinetic Model for Blood Biomarker Levels After Mild Traumatic Brain Injury
| Autor: | Matthew S. Thimgan, Daniel B. Hier, Blaine Allen, Donald C. Wunsch, Sima Azizi, Gayla R. Olbricht, Tayo Obafemi-Ajayi |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0301 basic medicine
Oncology medicine.medical_specialty Traumatic brain injury Poison control 03 medical and health sciences 0302 clinical medicine Cerebrospinal fluid sensitivity analysis Internal medicine mild traumatic brain injury Concussion medicine RC346-429 uncertainty analysis Original Research Kinetic model business.industry mathematical modeling blood biomarkers medicine.disease 030104 developmental biology Neurology Blood biomarkers kinetics concussion Biomarker (medicine) Neurology (clinical) Neurology. Diseases of the nervous system business 030217 neurology & neurosurgery Oral retinoid |
| Zdroj: | Frontiers in Neurology Frontiers in Neurology, Vol 12 (2021) |
| ISSN: | 1664-2295 |
| Popis: | Traumatic brain injury (TBI) imposes a significant economic and social burden. The diagnosis and prognosis of mild TBI, also called concussion, is challenging. Concussions are common among contact sport athletes. After a blow to the head, it is often difficult to determine who has had a concussion, who should be withheld from play, if a concussed athlete is ready to return to the field, and which concussed athlete will develop a post-concussion syndrome. Biomarkers can be detected in the cerebrospinal fluid and blood after traumatic brain injury and their levels may have prognostic value. Despite significant investigation, questions remain as to the trajectories of blood biomarker levels over time after mild TBI. Modeling the kinetic behavior of these biomarkers could be informative. We propose a one-compartment kinetic model for S100B, UCH-L1, NF-L, GFAP, and tau biomarker levels after mild TBI based on accepted pharmacokinetic models for oral drug absorption. We approximated model parameters using previously published studies. Since parameter estimates were approximate, we did uncertainty and sensitivity analyses. Using estimated kinetic parameters for each biomarker, we applied the model to an available post-concussion biomarker dataset of UCH-L1, GFAP, tau, and NF-L biomarkers levels. We have demonstrated the feasibility of modeling blood biomarker levels after mild TBI with a one compartment kinetic model. More work is needed to better establish model parameters and to understand the implications of the model for diagnostic use of these blood biomarkers for mild TBI. |
| Databáze: | OpenAIRE |
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