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Chapter 23 - New Frontiers in Neuroprognostication: Biomarkers

from Part II - Other Topics in Neuroprognostication

Published online by Cambridge University Press:  14 November 2024

David M. Greer
Affiliation:
Boston University School of Medicine and Boston Medical Center
Neha S. Dangayach
Affiliation:
Icahn School of Medicine at Mount Sinai and Mount Sinai Health System
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Summary

The use of blood and cerebrospinal fluid (CSF) biomarkers for various neurological pathologies can augment the clinician’s ability to prognosticate disease progression as well as functional and neurological outcomes. This chapter focuses on six common neurological pathologies seen in the neurological intensive care unit: secondary brain injury after cardiac arrest, intracranial hemorrhage (ICH), acute ischemic stroke, traumatic brain injury (TBI), aneurysmal subarachnoid hemorrhage (aSAH), and post-intensive care syndrome. Very few of the biomarkers have been clinically validated, but a number of biomarkers are promising in research studies and are also discussed. However, standardization of protocols and reference ranges has not been established for most biomarkers.

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Publisher: Cambridge University Press
Print publication year: 2024

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References

Mozaffarian, D, Benjamin, EJ, Go, AS, et al. Heart disease and stroke statistics – 2015 update: a report from the American Heart Association. Circulation. 2015;131:e29322.Google ScholarPubMed
May, TL, Ruthazer, R, Riker, RR, et al. Early withdrawal of life support after resuscitation from cardiac arrest is common and may result in additional deaths. Resuscitation 2019;139:308–13.CrossRefGoogle ScholarPubMed
Stammet, P. Blood biomarkers of hypoxic-ischemic brain injury after cardiac arrest. Semin Neurol. 2017;37:7580.Google ScholarPubMed
Ramont, L, Thoannes, H, Volondat, A, et al. Effects of hemolysis and storage condition on neuron-specific enolase (NSE) in cerebrospinal fluid and serum: implications in clinical practice. Clin Chem Lab Med. 2005;43:1215–17.CrossRefGoogle ScholarPubMed
Kaiser, E, Kuzmits, R, Pregant, P, Burghuber, O, Worofka, W. Clinical biochemistry of neuron specific enolase. Clin Chim Acta. 1989;183:1331.CrossRefGoogle ScholarPubMed
Wijdicks, EF, Hijdra, A, Young, GB, Bassetti, CL, Wiebe, S ; QSSotAAo. Practice parameter: prediction of outcome in comatose survivors after cardiopulmonary resuscitation (an evidence-based review): report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology. 2006;67:203–10.Google Scholar
Fugate, JE, Wijdicks, EF, Mandrekar, J, et al. Predictors of neurologic outcome in hypothermia after cardiac arrest. Ann Neurol. 2010;68:907–14.CrossRefGoogle ScholarPubMed
Reisinger, J, Höllinger, K, Lang, W, et al. Prediction of neurological outcome after cardiopulmonary resuscitation by serial determination of serum neuron-specific enolase. Eur Heart J. 2007;28:52–8.CrossRefGoogle ScholarPubMed
Steffen, IG, Hasper, D, Ploner, CJ, et al. Mild therapeutic hypothermia alters neuron specific enolase as an outcome predictor after resuscitation: 97 prospective hypothermia patients compared to 133 historical non-hypothermia patients. Crit Care. 2010;14:R69.CrossRefGoogle ScholarPubMed
Streitberger, KJ, Leithner, C, Wattenberg, M, et al. Neuron-specific enolase predicts poor outcome after cardiac arrest and targeted temperature management: a multicenter study on 1,053 patients. Crit Care Med. 2017;45:1145–51.CrossRefGoogle ScholarPubMed
Wiberg, S, Hassager, C, Stammet, P, et al. Single versus serial measurements of neuron-specific enolase and prediction of poor neurological outcome in persistently unconscious patients after out-of-hospital cardiac arrest – a TTM-trial substudy. PLoS One. 2017;12:e0168894.CrossRefGoogle ScholarPubMed
Rossetti, AO, Carrera, E, Oddo, M. Early EEG correlates of neuronal injury after brain anoxia. Neurology. 2012;78:796802.CrossRefGoogle ScholarPubMed
Oddo, M, Rossetti, AO. Early multimodal outcome prediction after cardiac arrest in patients treated with hypothermia. Crit Care Med. 2014;42:1340–7.CrossRefGoogle ScholarPubMed
Donato, R. Functional roles of S100 proteins, calcium-binding proteins of the EF-hand type. Biochim Biophys Acta. 1999;1450:191231.CrossRefGoogle ScholarPubMed
Böttiger, BW, Möbes, S, Glätzer, R, et al. Astroglial protein S-100 is an early and sensitive marker of hypoxic brain damage and outcome after cardiac arrest in humans. Circulation. 2001;103:2694–8.CrossRefGoogle ScholarPubMed
Shinozaki, K, Oda, S, Sadahiro, T, et al. Serum S-100B is superior to neuron-specific enolase as an early prognostic biomarker for neurological outcome following cardiopulmonary resuscitation. Resuscitation. 2009;80:870–5.CrossRefGoogle ScholarPubMed
Stammet, P, Dankiewicz, J, Nielsen, N, et al. Protein S100 as outcome predictor after out-of-hospital cardiac arrest and targeted temperature management at 33 °C and 36 °C. Crit Care. 2017;21:153.CrossRefGoogle Scholar
Sandroni, C, Cariou, A, Cavallaro, F, et al. Prognostication in comatose survivors of cardiac arrest: an advisory statement from the European Resuscitation Council and the European Society of Intensive Care Medicine. Resuscitation. 2014;85:1779–89.CrossRefGoogle ScholarPubMed
Samaniego, EA, Persoon, S, Wijman, CA. Prognosis after cardiac arrest and hypothermia: a new paradigm. Curr Neurol Neurosci Rep. 2011;11:111–19.CrossRefGoogle ScholarPubMed
Kuhle, J, Barro, C, Andreasson, U, et al. Comparison of three analytical platforms for quantification of the neurofilament light chain in blood samples: ELISA, electrochemiluminescence immunoassay and Simoa. Clin Chem Lab Med. 2016;54:1655–61.CrossRefGoogle ScholarPubMed
Moseby-Knappe, M, Mattsson, N, Nielsen, N, et al. Serum neurofilament light chain for prognosis of outcome after cardiac arrest. JAMA Neurol. 2019;76:6471.CrossRefGoogle ScholarPubMed
Sun, P, Liu, DZ, Jickling, GC, Sharp, FR, Yin, KJ. MicroRNA-based therapeutics in central nervous system injuries. J Cereb Blood Flow Metab. 2018;38:1125–48.CrossRefGoogle ScholarPubMed
Devaux, Y, Dankiewicz, J, Salgado-Somoza, A, et al. Association of circulating microRNA-124-3p levels with outcomes after out-of-hospital cardiac arrest: a substudy of a randomized clinical trial. JAMA Cardiol. 2016;1:305–13.CrossRefGoogle ScholarPubMed
Boyd, JG, Smithson, LJ, Howes, D, Muscedere, J, Kawaja, MD ; Group CCCTB. Serum proteomics as a strategy to identify novel biomarkers of neurologic recovery after cardiac arrest: a feasibility study. Intensive Care Med Exp. 2016;4:9.CrossRefGoogle ScholarPubMed
Tagnaouti, N, Loebrich, S, Heisler, F, et al. Neuronal expression of muskelin in the rodent central nervous system. BMC Neurosci. 2007;8:28.CrossRefGoogle ScholarPubMed
Foote, M, Zhou, Y. 14–3–3 proteins in neurological disorders. Int J Biochem Mol Biol. 2012;3:152–64.Google ScholarPubMed
Berg, D, Holzmann, C, Riess, O. 14–3–3 proteins in the nervous system. Nat Rev Neurosci. 2003;4:752762.CrossRefGoogle ScholarPubMed
Qi, Z, Zhang, Q, Liu, B, Shao, F, Li, C. Presepsin as a biomarker for evaluating prognosis and early innate immune response of out-of-hospital cardiac arrest patients after return of spontaneous circulation. Crit Care Med. 2019;47:e538e546.CrossRefGoogle ScholarPubMed
van Asch, CJ, Luitse, MJ, Rinkel, GJ, et al. Incidence, case fatality, and functional outcome of intracerebral haemorrhage over time, according to age, sex, and ethnic origin: a systematic review and meta-analysis. Lancet Neurol. 2010;9:167–76.CrossRefGoogle ScholarPubMed
Pinho, J, Costa, AS, Araújo, JM, Amorim, JM, Ferreira, C. Intracerebral hemorrhage outcome: A comprehensive update. J Neurol Sci. 2019;398:5466.CrossRefGoogle ScholarPubMed
Yang, G, Hu, R, Zhang, C, et al. A combination of serum iron, ferritin and transferrin predicts outcome in patients with intracerebral hemorrhage. Sci Rep. 2016;6:21970.CrossRefGoogle ScholarPubMed
Garton, ALA, Gupta, VP, Christophe, BR, Connolly, ES. Biomarkers of functional outcome in intracerebral hemorrhage: interplay between clinical metrics, CD163, and ferritin. J Stroke Cerebrovasc Dis. 2017;26:1712–20.CrossRefGoogle ScholarPubMed
Zhao, N, Zhang, AS, Enns, CA. Iron regulation by hepcidin. J Clin Invest. 2013;123:2337–43.CrossRefGoogle ScholarPubMed
Mehdiratta, M, Kumar, S, Hackney, D, Schlaug, G, Selim, M. Association between serum ferritin level and perihematoma edema volume in patients with spontaneous intracerebral hemorrhage. Stroke. 2008;39:1165–70.CrossRefGoogle ScholarPubMed
Xiong, XY, Chen, J, Zhu, WY, et al. Serum hepcidin concentrations correlate with serum iron level and outcome in patients with intracerebral hemorrhage. Neurol Sci. 2015;36:1843–9.CrossRefGoogle ScholarPubMed
Li, W, Pan, R, Qi, Z, Liu, KJ. Current progress in searching for clinically useful biomarkers of blood-brain barrier damage following cerebral ischemia. Brain Circ. 2018;4:145–52.Google ScholarPubMed
Tiedt, S, Duering, M, Barro, C, et al. Serum neurofilament light: A biomarker of neuroaxonal injury after ischemic stroke. Neurology. 2018;91:e1338e1347.CrossRefGoogle Scholar
Branco, JP, Oliveira, S, Sargento-Freitas, J, et al. S100β protein as a predictor of poststroke functional outcome: a prospective study. J Stroke Cerebrovasc Dis. 2018;27:1890–6.CrossRefGoogle ScholarPubMed
Klimiec, E, Pasinska, P, Kowalska, K, et al. The association between plasma endotoxin, endotoxin pathway proteins and outcome after ischemic stroke. Atherosclerosis. 2018;269:138–43.CrossRefGoogle ScholarPubMed
Gan, ZS, Stein, SC, Swanson, R, et al. Blood biomarkers for traumatic brain injury: a quantitative assessment of diagnostic and prognostic accuracy. Front Neurol. 2019;10:446.CrossRefGoogle ScholarPubMed
Rodríguez-Rodríguez, A, Egea-Guerrero, JJ, Gordillo-Escobar, E, et al. S100B and Neuron-Specific Enolase as mortality predictors in patients with severe traumatic brain injury. Neurol Res. 2016;38:130–7.CrossRefGoogle ScholarPubMed
Cheng, F, Yuan, Q, Yang, J, Wang, W, Liu, H. The prognostic value of serum neuron-specific enolase in traumatic brain injury: systematic review and meta-analysis. PLoS One. 2014;9:e106680.CrossRefGoogle ScholarPubMed
Thelin, EP, Jeppsson, E, Frostell, A, et al. Utility of neuron-specific enolase in traumatic brain injury; relations to S100B levels, outcome, and extracranial injury severity. Crit Care. 2016;20:285.CrossRefGoogle ScholarPubMed
Al Nimer, F, Thelin, E, Nyström, H, et al. Comparative assessment of the prognostic value of biomarkers in traumatic brain injury reveals an independent role for serum levels of neurofilament light. PLoS One. 2015;10:e0132177.CrossRefGoogle ScholarPubMed
Shahim, P, Gren, M, Liman, V, et al. Serum neurofilament light protein predicts clinical outcome in traumatic brain injury. Sci Rep. 2016;6:36791.CrossRefGoogle ScholarPubMed
Hol, EM, Pekny, M. Glial fibrillary acidic protein (GFAP) and the astrocyte intermediate filament system in diseases of the central nervous system. Curr Opin Cell Biol. 2015;32:121–30.CrossRefGoogle ScholarPubMed
Shemilt, M, Boutin, A, Lauzier, F, et al. Prognostic value of glial fibrillary acidic protein in patients with moderate and severe traumatic brain injury: a systematic review and meta-analysis. Crit Care Med. 2019;47:e522e529.CrossRefGoogle ScholarPubMed
de Oliveira Manoel, AL, Macdonald, RL. Neuroinflammation as a target for intervention in subarachnoid hemorrhage. Front Neurol. 2018;9:292.CrossRefGoogle ScholarPubMed
Choi, BR, Cho, WH, Kim, J, et al. Increased expression of the receptor for advanced glycation end products in neurons and astrocytes in a triple transgenic mouse model of Alzheimer’s disease. Exp Mol Med. 2014;46:e75.CrossRefGoogle Scholar
Tang, SC, Yeh, SJ, Tsai, LK, et al. Cleaved but not endogenous secretory RAGE is associated with outcome in acute ischemic stroke. Neurology. 2016;86:270–6.CrossRefGoogle Scholar
Yang, DB, Dong, XQ, Du, Q, et al. Clinical relevance of cleaved RAGE plasma levels as a biomarker of disease severity and functional outcome in aneurysmal subarachnoid hemorrhage. Clin Chim Acta. 2018;486:335–40.CrossRefGoogle ScholarPubMed
Burmester, T, Weich, B, Reinhardt, S, Hankeln, T. A vertebrate globin expressed in the brain. Nature. 2000;407:520–3.CrossRefGoogle ScholarPubMed
Ding, CY, Kang, DZ, Wang, ZL, et al. Serum Ngb (neuroglobin) is associated with brain metabolism and functional outcome of aneurysmal subarachnoid hemorrhage. Stroke. 2019;50:1887–90.CrossRefGoogle ScholarPubMed
Miller, BA, Turan, N, Chau, M, Pradilla, G. Inflammation, vasospasm, and brain injury after subarachnoid hemorrhage. Biomed Res Int. 2014;2014:384342.CrossRefGoogle ScholarPubMed
Chou, SH, Feske, SK, Atherton, J, et al. Early elevation of serum tumor necrosis factor-α is associated with poor outcome in subarachnoid hemorrhage. J Investig Med. 2012;60:1054–8.CrossRefGoogle ScholarPubMed
Fragata, I, Bustamante, A, Penalba, A, et al. Venous and arterial TNF-R1 predicts outcome and complications in acute subarachnoid hemorrhage. Neurocrit Care. 2019;31:107–15.CrossRefGoogle ScholarPubMed
Adhikari, NK, Fowler, RA, Bhagwanjee, S, Rubenfeld, GD. Critical care and the global burden of critical illness in adults. Lancet. 2010;376:1339–46.CrossRefGoogle ScholarPubMed
Inoue, S, Hatakeyama, J, Kondo, Y, et al. Post-intensive care syndrome: its pathophysiology, prevention, and future directions. Acute Med Surg. 2019;6:233–46.CrossRefGoogle ScholarPubMed
van den Boogaard, M, Kox, M, Quinn, KL, et al. Biomarkers associated with delirium in critically ill patients and their relation with long-term subjective cognitive dysfunction; indications for different pathways governing delirium in inflamed and noninflamed patients. Crit Care. 2011;15:R297.CrossRefGoogle ScholarPubMed
Maciel, M, Benedet, SR, Lunardelli, EB, et al. Predicting long-term cognitive dysfunction in survivors of critical illness with plasma inflammatory markers: a retrospective cohort study. Mol Neurobiol. 2019;56:763–7.CrossRefGoogle ScholarPubMed
Wang, S, Hammes, J, Khan, S, et al. Improving Recovery and Outcomes Every Day after the ICU (IMPROVE): study protocol for a randomized controlled trial. Trials. 2018;19:196.CrossRefGoogle ScholarPubMed

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