Literature DB >> 31234132

NRGN, S100B and GFAP levels are significantly increased in patients with structural lesions resulting from mild traumatic brain injuries.

Serdar Çevik1, Mustafa Murat Özgenç2, Ahmet Güneyk3, Şevket Evran4, Enes Akkaya5, Fatih Çalış6, Salim Katar7, Celaleddin Soyalp8, Hakan Hanımoğlu9, Mehmet Yaşar Kaynar10.   

Abstract

OBJECTIVE: To determine whether serum neurogranin (NRGN), glial fibrillary acidic protein (GFAP), and calcium-binding protein S100 beta (S100B) levels are associated with traumatic intracranial lesions compared to computed tomography (CT) findings of patients with mild traumatic brain injury (mTBI). PATIENTS AND METHODS: The cross-sectional study cohort included 48 patients who were admitted to the Emergency Department with a complaint of mTBI, a Glasgow Coma Scale score of 14-15, and at least one symptom of head trauma (i.e., post-traumatic amnesia, nausea or vomiting, post-traumatic seizures, persistent headache, and transient loss of consciousness). Blood samples and CT scans were obtained for all patients within 4 h of injury. Age-matched patients without intracranial traumatic pathology (CT-) were recruited as a control group. Blood samples were measured for NRGN, GFAP, and S100B levels.
RESULTS: Of 48 patients, 24 were CT + and had significantly higher serum NRGN (5.79 vs. 2.95 ng/mL), GFAP (0.59 vs.0.36 ng/mL), and S100B (1.72 vs.0.73 μg/L) levels than those who were CT- (p = 0.001, p = 0.026, and p < 0.001, respectively). ROC curves showed that NRGN, GFAP, and S100B levels were sufficient to distinguish traumatic brain injury in patients with mTBI. At the cut-off value for NRGN of 1.87 ng/mL, sensivity was 83.3%, and specificity was 58.3%. At the cut-off value for GFAP of 0.23 ng/mL, sensivity was 75% and specificity was 62.5%. The optimal cut-off value for S100B was 0.47 μg/L (95.8% sensitivity and 62.5% specificity).
CONCLUSION: This is the first study to evaluate NRGN in human serum after mTBI. We confirmed that NRGN levels were significantly higher in CT + patients than CT- patients in the mTBI patient population. Future studies of larger populations and different age groups (especially pediatric) can help reduce the number of CT scans as a reliable and noninvasive diagnostic tool for evaluating NRGN protein levels in mTBI patients with a low probability of intracranial lesions.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; Calcium-binding protein S100 beta; Computed tomography; Glial fibrillary acidic protein; Neurogranin; Traumatic brain injury

Year:  2019        PMID: 31234132     DOI: 10.1016/j.clineuro.2019.105380

Source DB:  PubMed          Journal:  Clin Neurol Neurosurg        ISSN: 0303-8467            Impact factor:   1.876


  10 in total

Review 1.  S100B, GFAP, UCH-L1 and NSE as predictors of abnormalities on CT imaging following mild traumatic brain injury: a systematic review and meta-analysis of diagnostic test accuracy.

Authors:  Michael Amoo; Jack Henry; Philip J O'Halloran; Paul Brennan; Mohammed Ben Husien; Matthew Campbell; John Caird; Mohsen Javadpour; Gerard F Curley
Journal:  Neurosurg Rev       Date:  2021-10-28       Impact factor: 3.042

Review 2.  A brief descriptive outline of the rules of mixed martial arts and concussion in mixed martial arts.

Authors:  Jessica L Hamdan; Meghan Rath; Jacqueline Sayoc; Joon-Young Park
Journal:  J Exerc Rehabil       Date:  2022-06-27

3.  Serum brain injury biomarkers are gestationally and post-natally regulated in non-brain injured neonates.

Authors:  Sandra Brooks; Barbara D Friedes; Frances Northington; Ernest Graham; Aylin Tekes; Vera J Burton; Gwendolyn Gerner; Jie Zhu; Raul Chavez-Valdez; Dhananjay Vaidya; Allen D Everett
Journal:  Pediatr Res       Date:  2021-12-18       Impact factor: 3.953

4.  A blood biomarker and clinical correlation cohort study protocol to diagnose sports-related concussion and monitor recovery in elite rugby.

Authors:  Jamie Kearns; Aisling M Ross; Darragh R Walsh; Rachel M Cahalane; Rita Hinchion; Maria C Ryan; Elaine Conway; Tom M Comyns; Ian C Kenny; Eibhlís M O'Connor; Kieran D McGourty; John Joseph Eugene Mulvihill
Journal:  BMJ Open Sport Exerc Med       Date:  2020-11-26

5.  Chronic complement dysregulation drives neuroinflammation after traumatic brain injury: a transcriptomic study.

Authors:  Amer Toutonji; Mamatha Mandava; Silvia Guglietta; Stephen Tomlinson
Journal:  Acta Neuropathol Commun       Date:  2021-07-19       Impact factor: 7.578

Review 6.  Blood GFAP as an emerging biomarker in brain and spinal cord disorders.

Authors:  Ahmed Abdelhak; Matteo Foschi; Samir Abu-Rumeileh; John K Yue; Lucio D'Anna; Andre Huss; Patrick Oeckl; Albert C Ludolph; Jens Kuhle; Axel Petzold; Geoffrey T Manley; Ari J Green; Markus Otto; Hayrettin Tumani
Journal:  Nat Rev Neurol       Date:  2022-02-03       Impact factor: 44.711

Review 7.  DAMPs and RAGE Pathophysiology at the Acute Phase of Brain Injury: An Overview.

Authors:  Baptiste Balança; Laurent Desmurs; Jérémy Grelier; Armand Perret-Liaudet; Anne-Claire Lukaszewicz
Journal:  Int J Mol Sci       Date:  2021-02-28       Impact factor: 5.923

8.  S100-β aggravates spinal cord injury via activation of M1 macrophage phenotype.

Authors:  Keke Duan; Shizhang Liu; Zhi Yi; Huitong Liu; Jingyuan Li; Jiyuan Shi; Le Ji; Bingqiang Xu; Xiaoxia Zhang; Wei Zhang
Journal:  J Musculoskelet Neuronal Interact       Date:  2021-09-01       Impact factor: 2.041

9.  A Versatile Pep-CPDs Nanoprobe for Rapid Detection of mTBI Biomarker in Clinical Instances and Safe Fluorescence Imaging In Vivo for Improved Weight-Drop Mouse Model.

Authors:  Jian Shi; Xingmei Li; María José Cavagnaro; Jifeng Cai; Changquan Zhang; Na Li
Journal:  Front Bioeng Biotechnol       Date:  2022-03-07

10.  CD28 Deficiency Ameliorates Thoracic Blast Exposure-Induced Oxidative Stress and Apoptosis in the Brain through the PI3K/Nrf2/Keap1 Signaling Pathway.

Authors:  Peifang Cong; Changci Tong; Ying Liu; Lin Shi; Xiuyun Shi; Yan Zhao; Keshen Xiao; Hongxu Jin; Yunen Liu; Mingxiao Hou
Journal:  Oxid Med Cell Longev       Date:  2019-12-04       Impact factor: 6.543

  10 in total

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