Leite Pereira Catarina, Grad Sibylle, Gonçalves Raquel M
I3S, Instituto de Investigação e Inovação em Saúde Universidade do Porto Porto Portugal.
INEB, Instituto de Engenharia Biomédica Universidade do Porto Porto Portugal.
JOR Spine. 2023 Oct 2;6(4):e1280. doi: 10.1002/jsp2.1280. eCollection 2023 Dec.
Biomarkers are commonly recognized as objective indicators of a medical state or clinical outcome and have been widely used as clinical and diagnostic tools and surrogate endpoints in many pathological conditions. In the context of intervertebral disc (IVD) and associated back pain, also known as degenerative disc disease (DDD), the use of biomarkers has been poorly explored. DDD is currently diagnosed using imaging techniques and subjective pain scales, limiting an objective association between DDD and pain levels, as well as an evaluation of disease progression. There is a need for objective and reliable measurements for DDD, pain and pathology progression. DDD predictors could also help clinicians in deciding on the optimal treatment for distinct patient groups. This review addresses the current candidate biomarkers in DDD, including imaging, genetic, metabolite and protein-based parameters, both at the tissue and systemic levels, that may become a major advance in the diagnosis and prognosis of the disease, as well as in the management of therapeutic approaches to DDD.
生物标志物通常被认为是医学状态或临床结果的客观指标,并已在许多病理状况下广泛用作临床和诊断工具以及替代终点。在椎间盘(IVD)及相关背痛(也称为椎间盘退变疾病,DDD)的背景下,生物标志物的应用尚未得到充分探索。目前,DDD通过成像技术和主观疼痛量表进行诊断,这限制了DDD与疼痛程度之间的客观关联以及疾病进展的评估。需要对DDD、疼痛和病理进展进行客观可靠的测量。DDD预测指标还可以帮助临床医生为不同患者群体确定最佳治疗方案。本综述探讨了DDD目前的候选生物标志物,包括组织和全身水平上基于成像、基因、代谢物和蛋白质的参数,这些标志物可能会在疾病的诊断和预后以及DDD治疗方法的管理方面取得重大进展。