Predicted brain-regional gene expression patterns in individuals living with Alzheimer's disease [0.03%]
阿尔茨海默病患者脑区基因表达预测模式
Ali Razavi,Jiahui Hou,Shu-Ju Lin et al.
Ali Razavi et al.
Studying brain gene expression in Alzheimer's Disease (AD) remains difficult as postmortem brain is difficult to access, cannot be used to guide donor treatment, may be confounded by environmental factors before and after death, and is diff...
Relation of blood-based inflammation conditional networks to key immune health status and Alzheimer's biomarkers in aging adults [0.03%]
基于血液的炎症条件性网络与老年人关键免疫健康状况和阿尔茨海默病生物标志物的关系
Brianne M Bettcher,Siyang Ren,Yue Wang et al.
Brianne M Bettcher et al.
Blood inflammatory marker studies in aging and Alzheimer's disease (AD) research have faced numerous interpretative and methodological challenges that have hindered the field's understanding of the relationship between immune network regula...
Resilience to mid-to-late-life depression as a risk factor for Alzheimer's disease: Physiological factors and the role of neuroimaging [0.03%]
中晚期抑郁症韧性作为阿尔茨海默病的危险因素：生理因素及神经影像学的作用
Truc D X Chu,Lucy M Hui,Nasreen Khatri et al.
Truc D X Chu et al.
Depression and Alzheimer's Disease (AD) are both diagnosed in women twice as often as in men. Moreover, a history of untreated depression confers a 2-to-5-fold increase in the risk of developing dementia. Finally, biological factors such as...
Sleep quality is associated with default mode and salience network connectivity differently across age and sex [0.03%]
睡眠质量与默认模式和突显网络连接的关系在不同年龄和性别中有所不同
Selene Tan,Sepehr Gourabi,Matthew R Cribbet et al.
Selene Tan et al.
Aging and biological sex are critical moderators of sleep quality, which contributes significantly to age-related cognitive decline and Alzheimer's disease (AD) risk. This study investigated how age and sex moderated the relationship betwee...
Why is GABA related to neural distinctiveness? A computational account of age-related neural dedifferentiation [0.03%]
GABA为何与神经特异性有关？关于年龄相关神经去分化的一个计算模型解释
Quan Zhou,Thad A Polk
Quan Zhou
Neural activation patterns in response to different stimuli (e.g., houses vs. faces) are less distinctive (more similar and confusable) in older adults vs. younger adults, a phenomenon known as age-related neural dedifferentiation. A growin...
Disentangling amyloid polymorphs in normal aging and Alzheimer's disease using dual-probe spectral imaging [0.03%]
利用双探针光谱成像解缠正常老化和阿尔茨海默病中的淀粉样蛋白多态性
Anastasiia A Stepanchuk,Jeffrey T Joseph,Tammaryn Lashley et al.
Anastasiia A Stepanchuk et al.
Variability in Alzheimer's disease (AD) clinical presentation complicates mechanistic studies and therapeutic outcome prediction. Brain protein aggregate load does not directly correlate with clinical symptoms; however, different subtypes o...
Trehalase-trehalose axis in the human brain: A potential modulator of neuroprotection and neurodegeneration [0.03%]
人脑中的海藻糖酶-海藻糖轴：潜在的神经保护和神经变性调节因子
Kalle Keisu,Arttu Autio-Kimura,Johanna Mappes et al.
Kalle Keisu et al.
Trehalase, the primary enzyme responsible for the degradation of gastrointestinal trehalose ("mushroom sugar"), is well-characterised in the human gut, but has not been conclusively identified in the human brain. Trehalose itself has shown ...
The TREM2 R47H variant is associated with liver-plasma-brain axis dyshomeostasis in the 5xFAD mouse model of Alzheimer's disease [0.03%]
APOE基因以外的阿尔茨海默病风险基因TREM2在小鼠模型中调控肝-血-脑轴的动态平衡
Gina Faraci,Benjamin Goodfriend,Joseph Bishop et al.
Gina Faraci et al.
The human Triggering Receptor Expressed on Myeloid cells 2 (TREM2) gene is expressed predominantly by microglia in the brain and the R47H coding variant of TREM2 is associated with increased risk for late-onset Alzheimer's disease (LOAD). W...
Combining cannabidiol and delta-9-tetrahydrocannabinol at a 50:3 ratio - a new therapeutic strategy for APPSwe/PS1ΔE9 transgenic mice? [0.03%]
将大麻二酚和delta-9-四氢大麻酚按50：3组合用于APPswe/PS1ΔE9转基因小鼠的新疗法？
Madilyn Coles,Rossana Rosa Porto,Rose Chesworth et al.
Madilyn Coles et al.
Preclinical evidence suggests that cannabidiol (CBD) can ameliorate Alzheimer's disease (AD)-related pathologies, including amyloid-β aggregation and tau hyperphosphorylation, and can reverse and prevent cognitive decline in AD rodent mode...
Predicting future cognitive impairment in preclinical Alzheimer's disease using amyloid PET and MRI: A multisite machine learning study [0.03%]
基于淀粉样PET和MRI的机器学习研究预测临床前阿尔茨海默病患者的未来认知损害
Braden Yang,Tom Earnest,Murat Bilgel et al.
Braden Yang et al.
Predicting the likelihood of developing Alzheimer's disease (AD) dementia in at-risk individuals is important for the design of and optimal recruitment for clinical trials of disease-modifying therapies. Machine learning (ML) has been shown...