Results 151 to 160 of about 51,520 (299)

A Skull Bone Marrow‐to‐Brain Axis Links Osteoblastic Activity to Myeloid Cell Trafficking, Cerebral Blood Flow, and Cognition in Alzheimer's Progression

Advanced Science, EarlyView.
This study reveals that Alzheimer's disease–linked APP expression in bone‐forming cells drives skull bone marrow remodeling and alters its vascular connections to the brain. These changes disrupt immune cell trafficking, cerebral blood flow, and cognition. Targeting bone marrow macrophages restores brain function, highlighting a previously unrecognized
Lei Xiong, Dong Sun, Hao‐Han Guo, Daehoon Lee, Zhipeng Liu, Lin Mei, Wen‐Cheng Xiong   +6 more
wiley   +1 more source

Multifacet Roles of Cellular Senescence in Cancer: Mechanisms and Therapeutic Implications

MedComm – Oncology
Cellular senescence plays a complex, dual role in cancer. Senescent cells induce tumor suppression through cell cycle arrest and immune response activation but also secrete pro‐inflammatory factors via the senescence‐associated secretory phenotype (SASP),
Huajie Mao, Wanning Liu, Yuanyuan Su, Yuxuan Ma, Xiaodi Zhao, Yuanyuan Lu   +5 more
doaj   +1 more source

The Role of Extracellular Vesicles MicroRNAs in Sarcopenia: From Aging to Multi‐Morbidity

AGING MEDICINE, EarlyView.
Exosomes transporting miRNAs play a crucial bidirectional regulatory role in the process of sarcopenia, both in natural aging and under various pathological conditions. ABSTRACT Sarcopenia, defined as progressive loss of skeletal muscle mass and function, occurs during aging and has also been recognized for its detrimental effects in various disease ...
Bingyu Huang, Zhao Peng, Lin Kang
wiley   +1 more source

Collaboration networks and knowledge structure in cancer and cellular senescence research (2000–2025): a bibliometric perspective

Discover Oncology
Cancer is a leading cause of death worldwide, posing substantial public health challenges. Cellular senescence, a stress-induced cell fate characterized by stable cell-cycle arrest and a hypersecretory state, plays dual roles in tissue repair and tumor ...
He Zhu, Shuangjia Pan, Yujia Zhou, Baozhu Yi, Yuqing Jing, Luyi Ruan, Lingxiao Huang, Xueqiong Zhu   +7 more
doaj   +1 more source

Cellular senescence in cancer immunology and potential therapeutic strategy

Frontiers in Oncology
Cellular senescence represents a state of stable, often irreversible cell cycle arrest. Unlike apoptosis, senescent cells (SCs) remain metabolically active and engage in robust secretory activity, most notably through the senescence-associated secretory ...
Xiao-Dan Qian, Li-De Tao, Li-Hong Zhang, An-Lai Ji, Lei Wang, Muhammad Mudasar Iqbal, Yi Luo   +6 more
doaj   +1 more source

Advances in Gastric Cancer Research: Insights Into Carcinogenesis, the Tumor Microenvironment, Metastasis, and Factors Influencing Prognosis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background The Department of Gastroenterological Surgery at Kumamoto University has maintained a commitment to integrating cutting‐edge clinical practice with fundamental research, particularly concerning malignant diseases of the digestive tract.
Hideo Baba, Takatsugu Ishimoto, Yoshifumi Baba, Hiromitsu Hayashi, Masaaki Iwatsuki   +4 more
wiley   +1 more source

Cycloastragenol attenuates osteoarthritis by restoring chondrocyte senescence via the NRF2/NF-κB signaling axis

Scientific Reports
Osteoarthritis (OA) involves oxidative stress-induced chondrocyte senescence and extracellular matrix (ECM) dysregulation, yet disease-modifying therapies remain elusive.
Shuhao Zhang, Yanlong Zou, Jundong Long, Yufan Wang, Jian Chen, Miao Teng   +5 more
doaj   +1 more source

Cellular Senescence and the Senescence-Associated Secretory Phenotype as Drivers of Skin Photoaging

, 2020
Eleni Fitsiou, Tanya Pulido, Judith Campisi, Fatouma Alimirah, Marco Demaria   +4 more
openalex   +2 more sources

Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics

Advanced Intelligent Discovery, EarlyView.
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha, Jesus Gil, Pedro J. Ballester   +2 more
wiley   +1 more source

Trabectedin modulates the senescence-associated secretory phenotype and promotes cell death in senescent tumor cells by targeting NF-κB [PDF]

, 2018
Simona Camorani, Laura Cerchia, Monica Fedele, Eugenio Erba, Maurizio D’Incalci, Elvira Crescenzi   +5 more
openalex   +1 more source