Results 201 to 210 of about 27,514,579 (296)

Online COVID-19 Misinformation and Infodemic Governance During the Peak Pandemic Period: Scoping Review of Social Media Research From 2020 to 2022. [PDF]

JMIR Infodemiology
Liu Y, Yue Z.
europepmc   +1 more source

Macrophage PABPC4‐SPP1 Axis Orchestrates Immunosuppression in Colorectal Cancer

Advanced Science, EarlyView.
In the CRC microenvironment, macrophage PABPC4 binds to the 3′UTR of SPP1 mRNA to stabilize its expression, thereby sustaining M2‐like immunosuppressive macrophage polarization. Concurrently, this axis suppresses CD8+ T cell effector functions via CD44 signaling, collectively fostering an immunosuppressive niche that drives tumor progression.
Meng Wang, Fang Yang, Yuan Gao, Liuli Li, Yulan Huang, Hui Yao, Sijie Zhao, Kun Zhao, Tianying Zhang, Hui Heng, Jiaxin Xu, Yuancai Xiang, Weidong Xiao, Shaofan Hu, Hongming Miao   +14 more
wiley   +1 more source

RETRACTION: Histone Lactylation‐Driven Upregulation of VRK1 Expression Promotes Stemness and Proliferation of Glioma Stem Cells

Advanced Science, EarlyView.
Abstract RETRACTION: J. Li, C. Tang, X. Zhang, R. Xing, and Q. Guo, “Histone Lactylation‐Driven Upregulation of VRK1 Expression Promotes Stemness and Proliferation of Glioma Stem Cells,” Advanced Science 12, no. 44 (2025): e03897, https://doi.org/10.1002/advs.202503897.
wiley   +1 more source

Restoration of m6A‐Modified circPSMB1 Suppresses Chordoma Progression and Enables Local Nanotherapeutic Intervention

Advanced Science, EarlyView.
An m6A‐modified circRNA, circPSMB1, is identified as a tumor suppressor in chordoma. METTL3‐dependent m6A promotes circPSMB1 interaction with HNRNPA2B1, limiting c‐MYC expression and malignant progression. An injectable HMnO2‐based nanohydrogel enables local circPSMB1 delivery and tumor microenvironment‐responsive therapy, offering a promising strategy
Yingchuang Tang, Liang Qiu, Xingbang Ruan, Yihan Shi, Ye Wang, Hanwen Li, Kai Zhang, Kangwu Chen   +7 more
wiley   +1 more source

Social Media Literacy and Health Information-Seeking Behavior Among School Students and Educators in India: A Needs Assessment Under Project Info-Suraksha. [PDF]

Cureus
Kant R, Mukhopadhyay BB, Kaur N, Jain S, Nair S, Dogra Gupta E, Fatma S, Tran Minh NN, Lonappan S, Srivastava N.   +9 more
europepmc   +1 more source

Early Spatial and Contextual Coding Deficits in Hippocampal CA1 Precede Performance Decline in an Alzheimer's Disease Model

Advanced Science, EarlyView.
Two‐photon calcium imaging in behaving 5xFAD mice reveals early CA1 coding deficits before behavioral decline. Task‐related place cell activity and splitter cell trajectory coding are impaired, with reduced retrospective dominance and greater prospective weighting.
Yimei Li, Mary Ann Go, Hualong Zhang, Robertas Aleksynas, Juliana Kim, Mingyang Gao, Seigfred Prado, Magdalena Sastre, Simon R. Schultz   +8 more
wiley   +1 more source

Accuracy, Quality and Readability of Knee Osteoarthritis Information on Social Media (Instagram e TikTok) and Search Platforms (Google e YouTube): A Cross-Sectional Study. [PDF]

Musculoskeletal Care
Castro RQ, Ferreira de Oliveira G, Marques MN, Silva VB, Fonseca DS, Malaguti C.   +5 more
europepmc   +1 more source

OAF Blocks SIAH1‐Mediated Degradation of SCPX, a Therapeutic Strategy for MASLD

Advanced Science, EarlyView.
This study shows OAF directly binds to SCPX and inhibits its interaction with the E3 ligase SIAH1, thereby protecting SCPX from ubiquitin‐dependent degradation and stabilizing its levels. This OAF‐SCPX axis represents a novel pathway in lipid homeostasis, highlighting OAF as a promising therapeutic candidate for MASLD.
Zongxi Li, Jingyue Song, Kaili Ma, Shunan Tang, Shuqian Wang, Wenya Ji, Chen Lu, Ting Zhang, Huaping Zheng, Xiaowei Zheng, Shanshan Lai, Cheng Deng   +11 more
wiley   +1 more source

Social Media Usage Patterns and Anxiety in Chinese Adolescents: Age-Specific Risks from a Cross-Sectional Perspective. [PDF]

Behav Sci (Basel)
Liu J, He R, Tie B, Wang X, Qiu J.
europepmc   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source