Adlimoghaddam Aida, Fayazbakhsh Fariba, Mohammadi Mohsen, Babaei Zeinab, Behrooz Amir Barzegar, Tabasi Farhad, Guan Teng, Beheshti Iman, Aghaei Mahmoud, Klionsky Daniel J, Albensi Benedict C, Ghavami Saeid
bioRxiv. 2024 Oct 31:2024.10.30.621097. doi: 10.1101/2024.10.30.621097.
Macroautophagy and mitophagy are critical processes in Alzheimer's disease (AD), yet their links to behavioral outcomes, particularly sex-specific differences, are not fully understood. This study investigates autophagy (LC3B-II, SQSTM1) and mitophagy (BNIP3L, BNIP3, BCL2L13) markers in the cortex and hippocampus of male and female 3xTg-AD mice, using western blotting, transmission electron microscopy (TEM), and behavioral tests (novel object recognition and novel object placement). Significant sex-specific differences emerged: female 3xTg-AD mice exhibited autophagosome accumulation due to impaired degradation in the cortex, while males showed fewer autophagosomes, especially in the hippocampus, without significant degradation changes. TEM analyses demonstrated variations in mitochondrial and mitophagosome numbers correlated with memory outcomes. Females had enhanced mitophagy, with higher BNIP3L and BCL2L13 levels, whereas males showed elevated BNIP3 dimers. Cognitive deficits in females correlated with mitochondrial dysfunction in the cortex, while in males, higher LC3B-II levels associated positively with cognitive performance, suggesting protective autophagy effects. Using machine learning, we predicted mitophagosome and mitochondrial numbers based on behavioral data, pioneering a predictive approach to cellular outcomes in AD. These findings underscore the importance of sex-specific regulation of autophagy and mitophagy in AD and support personalized therapeutic approaches targeting these pathways. Integrating machine learning emphasizes its potential to advance neurodegenerative research.
巨自噬和线粒体自噬是阿尔茨海默病(AD)中的关键过程,然而它们与行为结果,尤其是性别特异性差异之间的联系尚未完全明确。本研究使用蛋白质免疫印迹法、透射电子显微镜(TEM)和行为测试(新物体识别和新物体放置),调查了雄性和雌性3xTg-AD小鼠大脑皮层和海马中的自噬(LC3B-II、SQSTM1)和线粒体自噬(BNIP3L、BNIP3、BCL2L13)标志物。出现了显著的性别特异性差异:雌性3xTg-AD小鼠由于大脑皮层中降解受损而表现出自噬体积累,而雄性小鼠的自噬体较少,尤其是在海马体中,且降解没有明显变化。TEM分析表明,线粒体和线粒体自噬体数量的变化与记忆结果相关。雌性小鼠的线粒体自噬增强,BNIP3L和BCL2L13水平较高,而雄性小鼠的BNIP3二聚体水平升高。雌性小鼠的认知缺陷与大脑皮层中的线粒体功能障碍相关,而在雄性小鼠中,较高的LC3B-II水平与认知表现呈正相关,表明自噬具有保护作用。我们使用机器学习,根据行为数据预测线粒体自噬体和线粒体数量,开创了一种针对AD细胞结果的预测方法。这些发现强调了AD中自噬和线粒体自噬性别特异性调节的重要性,并支持针对这些途径的个性化治疗方法。整合机器学习突出了其推进神经退行性疾病研究的潜力。