Results 141 to 150 of about 1,256,553 (294)

The Mitochondrial Guardian α‐Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK‐SARM1‐ULK1 Axis

Advanced Science, EarlyView.
Dietary habits play a key role in chronic diseases, and higher annual consumption of fruit and vegetable may lower risk of dementia. Artificial intelligence predicts the lipid‐like compound α‐Amyrin (αA) from plants with edible peels as a drug candidate against Alzheimer's disease.
Shu‐Qin Cao, Juan Ignacio Jiménez‐Loygorri, Yunguang Qiu, You Jung Kang, Khanh Van Do, Annabel E. Smith, Junjie Huang, Jun‐ping Pan, Lipeng Mao, Ang Li, Hangge Yang, Yahyah Aman, Maria Jose Donate Lagartos, Sofie Hindkjær Lautrup, Anbin Chen, Kristina Xiao Liang, Hailong Zhang, Juan Yi, Xurui Jin, Tin Cho Cheung, Olympia Apokotou, Florentia Papastefanaki, Rebecca Matsas, William A. McEwan, Feixiong Cheng, Hansang Cho, Guobing Chen, Huanxing Su, Konstantinos Palikaras, Oscar Junhong Luo, Qian Hua Zhao, Ding Ding, Cornelia van Duijn, Nektarios Tavernarakis, Patricia Boya, Tewin Tencomnao, Evandro F. Fang   +36 more
wiley   +1 more source

The indirect effect of attention bias on memory via interpretation bias: evidence for the combined cognitive bias hypothesis in subclinical depression [PDF]

, 2013
Everaert, Jonas, Koster, Ernst, Tierens, Marlies, Uzieblo, Katarzyna   +3 more
core   +1 more source

Diffusion‐MRI‐Based Estimation of Cortical Architecture via Machine Learning (DECAM) in Primate Brains

Advanced Science, EarlyView.
We present Diffusion‐MRI‐based Estimation of Cortical Architecture via Machine Learning (DECAM), a deep‐learning framework for estimating primate brain cortical architecture optimized with best response constraint and cortical label vectors. Trained using macaque brain high‐resolution multi‐shell dMRI and histology data, DECAM generates high‐fidelity ...
Tianjia Zhu, Minhui Ouyang, Shufang Tan, Jianlin Guo, Ziqin Zhang, Xuan Liu, Risheng Liu, Hao Huang   +7 more
wiley   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

The Gut Microbiota Regulates Motor Deficits via Butyrate in a Gnal+/− Mouse Model of DYT25 Dystonia

Advanced Science, EarlyView.
The present study provides compelling evidence for a modulatory role of the gut microbiota in the pathology of DYT25 dystonia, and butyrate supplementation alleviates the motor deficits of dystonia in Gnal+/− mice. Abstract Dystonia is the third most common movement disorder, following essential tremor and Parkinson's disease. The underlying mechanisms
Jingya Guo, Seong‐Gook Kang, Kunlun Huang, Tao Tong   +3 more
wiley   +1 more source

The impact of 'equal educational opportunity' funds: a regression discontinuity design [PDF]

Many countries provide extra resources to schools serving disadvantaged pupils. We exploit a discontinuity in the assignment of such personnel subsidies in Flanders to estimate the impact on cognitive outcomes via a regression discontinuity (RD) design ...
Erwin OOGHE
core  

Assessing the Relative Importance of Imaging and Serum Biomarkers in Capturing Disability, Cognitive Impairment, and Clinical Progression in Multiple Sclerosis

Advanced Science, EarlyView.
Using machine‐learning analyses in two independent multiple sclerosis cohorts, spinal cord atrophy and cortical degeneration emerged as key predictors of disability and progression independent of relapses. Deep gray matter damage further improved prediction, while serum biomarkers of brain damage provided complementary information, highlighting the ...
Alessandro Cagol, Pascal Benkert, Sabine Schaedelin, Mario Ocampo‐Pineda, Noemi Montobbio, Po‐Jui Lu, Batuhan Ayci, Antonia Wenger, Alfi Aran Shukur, Kornelius Kaim, Lester Melie‐Garcia, Matthias Weigel, Alessio Signori, Pasquale Calabrese, Ludwig Kappos, Maria Pia Sormani, Jens Kuhle, Cristina Granziera   +17 more
wiley   +1 more source

APOE‐stratified Proteomic and Metabolomic Analysis Reveals Mitochondrial Dysfunction Inflammation and Lipid Dysregulation in Alzheimer's Disease

Advanced Science, EarlyView.
A large‐scale multiomic dataset (proteomic and metabolomic) comprising 3,060 plasma samples were analyzed to identify proteins, metabolites, pathways, and protein‐associated drugs linked to Alzheimer’s Disease (AD) independently of apolipoprotein E (APOE). AD was associated with a distinct molecular signature that captures.
Fuhai Li, Yike Chen, Daniel Western, Muhammad Ali, Menghan Liu, Katherine Gong, Ying Xu, Joseph Lowery, David M. Holtzman, Chloe Robins, John D. Eicher, Yen‐Ning Huang, ShiWei Liu, Tamina Park, Andrew J. Saykin, Kwangsik Nho, Mahdi Moqri, Richard C. Mohs, Amelia Farinas, Patricia Moran‐Losada, Hamilton Se‐Hwee Oh, Tony Wyss‐Coray, Carlos Cruchaga   +22 more
wiley   +1 more source

Do children in private Schools learn more than in public Schools? Evidence from Mexico [PDF]

In this study I try to answer the question whether private schools do better in the human capital accumulation process than public schools in Mexico. The analysis is based on panel data including out-of-school cognitive skill tests, which allows dealing ...
Wendelspiess Chávez Juárez, Florian
core   +1 more source

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source