Yang Jiayang, Wang Zirui, Fu Yumeng, Xu Jiayuan, Zhang Yang, Qin Wen, Zhang Quan
Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin, China.
Front Aging Neurosci. 2022 Sep 15;14:964463. doi: 10.3389/fnagi.2022.964463. eCollection 2022.
Amnestic mild cognitive impairment (aMCI) and Type 2 diabetes mellitus (T2DM) are both important risk factors for Alzheimer's disease (AD). We aimed to investigate whether a T2DM-specific polygenic risk score (PRS ) can predict the conversion of aMCI to AD and further explore the underlying neurological mechanism. All aMCI patients were from the Alzheimer's disease Neuroimaging Initiative (ADNI) database and were divided into conversion (aMCI-C, = 164) and stable (aMCI-S, = 222) groups. PRS was calculated by PRSice-2 software to explore the predictive efficacy of the aMCI conversion to AD. We found that PRS could independently predict the aMCI conversion to AD after removing the common variants of these two diseases. PRS was significantly negatively correlated with gray matter volume (GMV) of the right superior frontal gyrus in the aMCI-C group. In all aMCI patients, PRS was significantly negatively correlated with the cortical volume of the right superior occipital gyrus. The cortical volume of the right superior occipital gyrus could significantly mediate the association between PRS and aMCI conversion. Gene-based analysis showed that T2DM-specific genes are highly expressed in cortical neurons and involved in ion and protein binding, neural development and generation, cell junction and projection, and PI3K-Akt and MAPK signaling pathway, which might increase the aMCI conversion by affecting the Tau phosphorylation and amyloid-beta (Aβ) accumulation. Therefore, the PRS could be used as a measure to predict the conversion of aMCI to AD.
遗忘型轻度认知障碍(aMCI)和2型糖尿病(T2DM)都是阿尔茨海默病(AD)的重要危险因素。我们旨在研究T2DM特异性多基因风险评分(PRS )是否能预测aMCI向AD的转化,并进一步探索潜在的神经学机制。所有aMCI患者均来自阿尔茨海默病神经影像学倡议(ADNI)数据库,并分为转化组(aMCI-C, = 164)和稳定组(aMCI-S, = 222)。通过PRSice-2软件计算PRS ,以探索aMCI向AD转化的预测效能。我们发现,在去除这两种疾病的常见变异后,PRS 能够独立预测aMCI向AD的转化。在aMCI-C组中,PRS 与右侧额上回的灰质体积(GMV)显著负相关。在所有aMCI患者中,PRS 与右侧枕上回的皮质体积显著负相关。右侧枕上回的皮质体积可显著介导PRS 与aMCI转化之间的关联。基于基因的分析表明,T2DM特异性基因在皮质神经元中高表达,参与离子和蛋白质结合、神经发育与生成、细胞连接与投射以及PI3K-Akt和MAPK信号通路,这可能通过影响Tau磷酸化和淀粉样β蛋白(Aβ)积累而增加aMCI的转化。因此,PRS 可作为预测aMCI向AD转化的一项指标。