脑缺血的生物标志物(综述)

A. Samoylov, E. I. Balakin, V. I. Pustovoit
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引用次数: 0

摘要

导言。脑卒中仍然是导致死亡的第二大原因和导致残疾的第三大原因。为更好地诊断短暂性脑缺血发作(TIA),应使用额外的血清生物标志物检测,但大多数神经特异性生物标志物的预后特异性和敏感性较低。在第一时间及时发现 TIA 并鉴别诊断卒中可确保缩短患者的恢复期,降低死亡和残疾风险。应纳入血清生物标志物研究,以克服诊断 TIA 的困难。S100B、GFAP 和 NSE 等神经特异性生物标志物可用于诊断神经胶质细胞和神经元的急性缺血性损伤。S100B 和 GFAP 可在星形胶质细胞中检测到,NSE 可在神经元和神经内分泌系统细胞中检测到。这些生物标记物的血清浓度升高与中风、脑损伤和其他中枢神经系统(CNS)病变等各种病理情况有关。对生物标志物浓度进行动态监测,可以评估正在进行的治疗的疗效,并确定病人病情恶化的预测因素,以便及时纠正治疗程序。要建立一个诊断面板,就必须研究缺血组织的代谢过程,同时考虑到伴随的诊断和神经影像学结果,并利用机器学习和大数据方面的突破性进展。综述显示,没有一种评估的生物标志物可推荐用于诊断脑循环障碍,但几种神经特异性生物标志物的组合可显著提高诊断效率,并可应用于中风、颅内血肿和其他脑部病变的鉴别诊断,以便对中枢神经系统病变进行早期药物治疗,并在临床试验中作为替代终点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomarkers of Brain Ischemia (Review)
Introduction. Strokes remain the second leading cause of death and the third leading cause of disability. Additional serum biomarker testing should be used to better diagnose transient ischemic attack (TIA), but most neurospecific biomarkers have low prognostic specificity and sensitivity. Timely identification of TIA and differential diagnosis of stroke in the first hour will ensure a shorter period of patient recovery and reduce the risk of mortality and disability. Serum biomarker studies should be included to overcome the difficulty of diagnosing TIA.Text. Neurospecific biomarkers such as S100B, GFAP, and NSE are used to diagnose acute ischemic damage to glial cells and neurons. S100B and GFAP are detected in astrocytes and NSE in neurons and cells of the neuroendocrine system. Elevated serum concentrations of these biomarkers are associated with various pathological conditions such as strokes and brain injuries and other central nervous system (CNS) lesions. Dynamic monitoring of biomarker concentrations makes it possible to evaluate the efficacy of the ongoing therapy and to identify predictors of patient deterioration for prompt correction of therapeutic procedures. To create a diagnostic panel it is necessary to study metabolic processes in ischemic tissue, taking into account concomitant diagnoses and results of neuroimaging, and to use breakthrough advances in machine learning and big data.Conclusion. The review showed that none of the assessed biomarkers can be recommended for the diagnosis of cerebral circulation disorders, but the combination of several neurospecific biomarkers can significantly improve diagnostic efficiency and find application in the differential diagnosis of stroke, intracranial hematoma, and other brain lesions for the purpose of early pharmacotherapy of CNS lesions and as surrogate endpoints during clinical trials.
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