Hardy-Sosa Anette, León-Arcia Karen, Llibre-Guerra Jorge J, Berlanga-Acosta Jorge, Baez Saiyet de la C, Guillen-Nieto Gerardo, Valdes-Sosa Pedro A
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.
Centro de Ingeniería Genética y Biotecnología, La Habana, Cuba.
Front Aging Neurosci. 2022 Mar 11;14:683689. doi: 10.3389/fnagi.2022.683689. eCollection 2022.
Because of high prevalence of Alzheimer's disease (AD) in low- and middle-income countries (LMICs), there is an urgent need for inexpensive and minimally invasive diagnostic tests to detect biomarkers in the earliest and asymptomatic stages of the disease. Blood-based biomarkers are predicted to have the most impact for use as a screening tool and predict the onset of AD, especially in LMICs. Furthermore, it has been suggested that panels of markers may perform better than single protein candidates.
Medline/Pubmed was searched to identify current relevant studies published from January 2016 to December 2020. We included all full-text articles examining blood-based biomarkers as a set of protein markers or panels to aid in AD's early diagnosis, prognosis, and characterization.
Seventy-six articles met the inclusion criteria for systematic review. Majority of the studies reported plasma and serum as the main source for biomarker determination in blood. Protein-based biomarker panels were reported to aid in AD diagnosis and prognosis with better accuracy than individual biomarkers. Conventional (amyloid-beta and tau) and neuroinflammatory biomarkers, such as amyloid beta-42, amyloid beta-40, total tau, phosphorylated tau-181, and other tau isoforms, were the most represented. We found the combination of amyloid beta-42/amyloid beta-40 ratio and APOEε4 status to be most represented with high accuracy for predicting amyloid beta-positron emission tomography status.
Assessment of Alzheimer's disease biomarkers in blood as a non-invasive and cost-effective alternative will potentially contribute to early diagnosis and improvement of therapeutic interventions. Given the heterogeneous nature of AD, combination of markers seems to perform better in the diagnosis and prognosis of the disease than individual biomarkers.
由于低收入和中等收入国家(LMICs)中阿尔茨海默病(AD)的高患病率,迫切需要廉价且微创的诊断测试来在疾病的最早和无症状阶段检测生物标志物。预计基于血液的生物标志物作为筛查工具并预测AD的发病将产生最大影响,尤其是在LMICs中。此外,有人提出标志物组合可能比单一蛋白质候选物表现更好。
检索Medline/Pubmed以识别2016年1月至2020年12月发表的当前相关研究。我们纳入了所有检查基于血液的生物标志物作为一组蛋白质标志物或标志物组合以辅助AD早期诊断、预后和特征描述的全文文章。
76篇文章符合系统评价的纳入标准。大多数研究报告血浆和血清是血液中生物标志物测定的主要来源。据报道,基于蛋白质的生物标志物组合有助于AD诊断和预后,其准确性高于单个生物标志物。传统的(淀粉样蛋白β和tau)和神经炎症生物标志物,如淀粉样蛋白β-42、淀粉样蛋白β-40、总tau、磷酸化tau-181和其他tau异构体,最为常见。我们发现淀粉样蛋白β-42/淀粉样蛋白β-40比值与APOEε4状态的组合在预测淀粉样蛋白β正电子发射断层扫描状态方面具有最高的准确性。
评估血液中的阿尔茨海默病生物标志物作为一种非侵入性且经济有效的替代方法,可能有助于早期诊断并改善治疗干预。鉴于AD的异质性,标志物组合在疾病的诊断和预后方面似乎比单个生物标志物表现更好。