finding effective biomarkers for pediatric traumatic brain injury

finding effective biomarkers for pediatric traumatic brain injury

;Olena Y Glushakova;Alexander V Glushakov;Ronald L Hayes
Вестник университета 2016 Vol. 2 pp. 129-132
255
glushakova2016brainfinding

Abstract

As traumatic brain injury (TBI) continues to affect children and young adults worldwide, research on reliable biomarkers grows as a possible aid in determining the severity of injury. However, many studies have revealed that diverse biomarkers such as S100B and myelin basic protein (MBP) have many limitations, such as their elevated normative concentrations in young children. Therefore, the results of these studies have yet to be translated to clinical applications. However, despite the setbacks of research into S100B and MBP, investigators continue to research viable biomarkers, notably glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1), as possible aids in medical decision making. Studies have revealed that GFAP and UCH-L1 actually are better predictors of injury progression than the before-mentioned biomarkers S100B and MBP. In addition, UCH-L1 has demonstrated an ability to detect injury while CT is negative, suggesting an ability to detect acute intracranial lesions. Here, we evaluate research testing levels of GFAP and UCH-L1 on children diagnosed with TBI and compare our results to those of other tested biomarkers. In a recent study done by Hayes et al., GFAP and UCH-L1 demonstrated the potential to recognize children with the possibility of poor outcome, allowing for more specialized treatments with clinical and laboratory applications. Although studies on GFAP and UCH-L1 have for the most part warranted positive results, further studies will be needed to confirm their role as reliable markers for pediatric TBI.

Citation

ID: 232230
Ref Key: glushakova2016brainfinding
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
232230
Unique Identifier:
10.4103/2394-8108.192518
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet