Results 81 to 90 of about 15,229 (236)

Association between Erythrocyte Membrane Phospholipid Fatty Acids and Sleep Disturbance in Chinese Children and Adolescents [PDF]

, 2018
Jun Tang, Yinkun Yan, Ju‐Sheng Zheng, Jie Mi, Duo Li   +4 more
openalex   +1 more source

Quantifying caregiver sleep disturbances using a dyadic model of dementia [PDF]

, 2023
Mark Quigg, Anna E Youngkin, Carol A. Manning   +2 more
openalex   +1 more source

Targeting Microglial CD49a Inhibits Neuroinflammation and Demonstrates Therapeutic Potential for Parkinson's Disease

Advanced Science, EarlyView.
This study shows that integrin receptor CD49a (Itga1 gene) is significantly upregulated in hyperactivated microglia and microglia‐specific knockdown of Itga1 rescues neuroinflammation and neurodegeneration in a chronic Parkinson's disease (PD) model by targeting PGAM5‐mediated mitochondrial dysfunction and NLRP3 activation. Targeted inhibition of CD49a
Huanpeng Lu, Yunmin Zhu, Xi Wang, Zelin Wu, Zijian Xu, Rongqing Chen, Yanwu Guo   +6 more
wiley   +1 more source

Machine Learning Analyses Reveal Circadian Features Predictive of Risk for Sleep Disturbance

Nature and Science of Sleep, 2022
Rebeccah Overton,1 Aziz Zafar,1,2 Ziad Attia,1,3 Ahmet Ay,1,2 Krista K Ingram1 1Department of Biology, Colgate University, Hamilton, NY, USA; 2Department of Mathematics, Colgate University, Hamilton, NY, USA; 3Department of Computer Science, Colgate ...
Overton R, Zafar A, Attia Z, Ay A, Ingram KK   +4 more
doaj  

Erratum to: Association of Statin Use with Sleep Disturbances: Data Mining of a Spontaneous Reporting Database and a Prescription Database [PDF]

, 2014
Mitsutaka Takada, Mai Fujimoto, Kohei Yamazaki, Masashi Takamoto, Kouichi Hosomi   +4 more
openalex   +1 more source

A Micro-Longitudinal Study of Naps, Sleep Disturbance, and Headache Severity in Women with Chronic Migraine [PDF]

, 2022
Jason C. Ong, Spencer C. Dawson, Hannah L. Taylor, Margaret Park, Helen J. Burgess, Megan Crawford, Jeanetta Rains, Todd A. Smitherman, Colin A. Espie, Alex L. Jones, James K. Wyatt   +10 more
openalex   +1 more source

Mendelian Randomization and Double Machine Learning Modeling Reveal Brain Imaging‐Derived Phenotypes as Functional Contributors to 18 Autoimmune Inflammatory Diseases

Advanced Science, EarlyView.
This schematic integrates the eight statistically significant causal relationships identified between 1,366 brain imaging‐derived phenotypes (IDPs) and 18 autoimmune inflammatory diseases (AIDs). Arrows indicate the direction of causality inferred from bidirectional two‐sample MR analyses.
Jinbin Chen, Xin Wang, Haifeng Ding, Bosheng Zheng, Keni Zeng, Chuying Hu, Jiayi Liu, Xiao Zhu, Haibing Yu   +8 more
wiley   +1 more source

OCTN2 Activates a Non‐Canonical Carnitine Metabolic Pathway to Promote MASH‐HCC Progression and Immunotherapy Resistance

Advanced Science, EarlyView.
In non‐MASH‐HCC, L‐carnitine promotes tumor progression primarily through its classical role in enhancing fatty acid oxidation (FAO). However, in MASH‐HCC, where FAO is markedly suppressed, L‐carnitine shifts from this canonical function to serve instead as an intracellular acetyl group buffer.
Chuqi Xia, Xiao Zhang, Jinze Li, Ning Xu, Sheng Hu, Qiyu Lu, Yuxuan Li, Taifu Xiao, Xu Li, Xue Wang, Kequan Xu, Daoming Liang   +11 more
wiley   +1 more source

H⁺ Exchange‐Driven ppb‐Level and High‐Selective Formaldehyde Detection at Room Temperature for Environmental and Clinical Applications

Advanced Science, EarlyView.
This article presents an innovative room‐temperature formaldehyde sensor based on H⁺ exchange method, achieving ppb‐level detection limit and exceptional selectivity. The study highlights its practical potential for real‐time environmental monitoring and clinical diagnostic applications.
Lubing Cai, Mengyang Pang, Zhaosong Liu, Yanfei Li, Jiani Li, Zhaorui Zhang, Fengshuang Zheng, Chao Li, Ang Zheng, Xuemin Zhang   +9 more
wiley   +1 more source

Monoaminylation in Human Health and Disease: State of the Field, Challenges, and Emerging Directions

Advanced Science, EarlyView.
This review delineates monoaminylation—serotonylation, dopaminylation, and histaminylation—as key post‐translational modifications beyond receptor signaling. It details their catalytic mechanisms, roles in gene expression and protein function, and implications in health and disease, aiming to bridge mechanistic insights with therapeutic potential ...
Yiqi Zhao, Hongli Zhang, Yating Yang, Wei‐Dong Chen, Yan‐Dong Wang   +4 more
wiley   +1 more source