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多基因危险评分可预测阿尔茨海默病连续体中的突触和轴突变性及认知能力下降。

Polygenic hazard score predicts synaptic and axonal degeneration and cognitive decline in Alzheimer's disease continuum.

机构信息

Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Sciences and Technology, University of Isfahan, Isfahan, Iran.

School of Medicine, Tehran University of Medical Sciences, Tehran, Iran; NeuroTRACT Association, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Arch Gerontol Geriatr. 2024 Dec;127:105576. doi: 10.1016/j.archger.2024.105576. Epub 2024 Jul 15.

Abstract

BACKGROUND

Growth associated protein-43 (GAP-43) and neurofilaments light (NFL) are biomarkers of synaptic and axonal injury, and are associated with cognitive decline in Alzheimer's disease (AD) contiuum. We investigated whether Polygenic Hazard Score (PHS) is associated with specific biomarkers and cognitive measures, and if it can predict the relationship between GAP-43, NFL, and cognitive decline in AD.

METHOD

We enrolled 646 subjects: 93 with AD, 350 with mild cognitive impairment (MCI), and 203 cognitively normal controls. Variables included GAP-43, plasma NFL, and PHS. A PHS of 0.21 or higher was considered high risk while a PHS below this threshold was considered low risk. A subsample of 190 patients with MCI with four years of follow-up cognitive assessments were selected for longitudinal analysis . We assessed the association of the PHS with AD biomarkers and cognitive measures, as well as the predictive power of PHS on cognitive decline and the conversion of MCI to AD.

RESULTS

PHS showed high diagnostic accuracy in distinguishing AD, MCI, and controls. At each follow-up point, high risk MCI patients showed higher level of cognitive impairment compared to the low risk group. GAP-43 correlated with all follow-up cognitive tests in high risk MCI patients which was not detected in low risk MCI patients. Moreover, high risk MCI patients progressed to dementia more rapidly compared to low risk patients.

CONCLUSION

PHS can predict cognitive decline and impacts the relationship between neurodegenerative biomarkers and cognitive impairment in AD contiuum. Categorizing patients based on PHS can improve the prediction of cognitive outcomes and disease progression.

摘要

背景

生长相关蛋白-43(GAP-43)和神经丝轻链(NFL)是突触和轴突损伤的生物标志物,与阿尔茨海默病(AD)连续体中的认知能力下降有关。我们研究了多基因危险评分(PHS)是否与特定的生物标志物和认知测量相关,以及它是否可以预测 GAP-43、NFL 与 AD 认知能力下降之间的关系。

方法

我们纳入了 646 名受试者:93 名 AD 患者,350 名轻度认知障碍(MCI)患者和 203 名认知正常对照者。变量包括 GAP-43、血浆 NFL 和 PHS。PHS 为 0.21 或更高被认为是高风险,而低于此阈值的 PHS 被认为是低风险。选择了 190 名具有 4 年随访认知评估的 MCI 患者亚组进行纵向分析。我们评估了 PHS 与 AD 生物标志物和认知测量的相关性,以及 PHS 对认知下降和 MCI 向 AD 转化的预测能力。

结果

PHS 在区分 AD、MCI 和对照组方面具有较高的诊断准确性。在每个随访点,高风险 MCI 患者的认知障碍程度均高于低风险组。在高风险 MCI 患者中,GAP-43 与所有随访认知测试相关,而在低风险 MCI 患者中则未检测到。此外,高风险 MCI 患者比低风险患者更快进展为痴呆。

结论

PHS 可以预测认知下降,并影响 AD 连续体中神经退行性生物标志物与认知障碍之间的关系。根据 PHS 对患者进行分类可以提高对认知结局和疾病进展的预测能力。

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