Results 261 to 270 of about 1,315,413 (357)

Proteogenomic Characterization Reveals Subtype‐Specific Therapeutic Potential for HER2‐Low Breast Cancer

Advanced Science, EarlyView.
Multiomic profiling of HER2‐low breast cancer identifies three proteomic subtypes with distinct therapeutic strategies: endocrine, antiangiogenic, and anti‐HER2 therapies. Genomic and lactate modification landscapes are detailed, providing insights for precise management.
Shouping Xu, Keda Yu, Lei Liu, Qin Wang, Xiaohui Wu, Yihai Chen, Guozheng Li, Xin Zhang, Bo Wei, Zitong Fu, Abiyasi Nanding, Zuxianglan Zhao, Lingbing Yang, Xingda Zhang, Jianyu Wang, Wantong Sun, Yi Hao, Zhongyi Cheng, Xiaojiang Cui, Hao Wu, Da Pang   +20 more
wiley   +1 more source

Bone Marrow Mesenchymal Stem Cell Hydrogel‐Mediated Fibroblast Reprogramming Restores Intestinal Function in Adhesive Small Bowel Obstruction

Advanced Science, EarlyView.
Conceptual diagram and schematic illustration of microenvironmental changes in individuals with ASBO before and after treatment. BMSC@Gel therapy transforms the ASBO microenvironment from an inflammatory, fibrotic state with aberrant matrix deposition and barrier dysfunction to a regenerative state with reduced inflammation and improved structural ...
Lihong Zheng *, Junrong Zhang *, Zhengyuan Huang *, Zhenliang Lin, Jin Zhang, Da Zhang, Ping Hou, Xianqiang Chen   +7 more
wiley   +1 more source

Is There any Correlation Between Pulmonary and Coronary Involvement in Diabetic Patients? [PDF]

Int J Endocrinol Metab
Parham M, Aghaali M, Adeli SH, Bagheri AR, Sadeghi M, Asghari A.   +5 more
europepmc   +1 more source

The KDM6B/SLC10A2 Axis Suppresses MDSCs Recruitment via ERK/AP‐1 Signaling in Colorectal Cancer

Advanced Science, EarlyView.
In wild‐type intestinal epithelial cells, KDM6B demethylates SLC10A2 to promote its expression, after which SLC10A2 suppresses ERK phosphorylation, inhibiting AP‐1 (Fos/Jun) transcription and chemokine production. In KDM6B‐deficient intestinal epithelial cells, SLC10A2 methylation increases, and its expression decreases.
Zhibo Hu, Jing Xun, Bin Liu, Xiaolin Jiang, Yingdi Han, Huichao Yang, Qi Gao, Ruifang Gao, Aimin Zhang, Xueliang Wu, Dapeng Zhang, Dihua Li, Tian Li, Shimin Yang, Ximo Wang, Xiangyang Yu, Qi Zhang   +16 more
wiley   +1 more source

Maximal Respiratory Muscle Strength in Singaporean Adults: Normative Reference Values and Predictive Models from a Cross-Sectional Study. [PDF]

Muscles
Huang KS, Roslan FDB, Cheong HH, Woo JJ, Tan KW, Swee K, Liang SY, Lau WX, Yeung MT.   +8 more
europepmc   +1 more source

Amino Acid Directed Helical Assemblies of Natural Berberine for Chirality‐Dependent Photodynamic Antibacterial Therapy

Advanced Science, EarlyView.
Helical nanostructures co‐assembled from berberine (BBR) and Fmoc‐Y display supramolecular‐chirality‐dependent photodynamic antibacterial activity. The molecular chirality of Fmoc‐Y organizes achiral BBR into chiral nanofibers, where supramolecular handedness controls bacterial surface adsorption, membrane penetration, intracellular BBR delivery, and ...
Haoqiang Zhao, Jingyi Jiao, Zhixia Wang, Chengyu Shi, Xinran Huang, Yixuan Lin, Haolin Yang, Haimin Lei, Guanghui Ouyang, Minghua Liu   +9 more
wiley   +1 more source

Individualized responses to velocity-based <i>versus</i> percentage-based resistance training in combat sports athletes: the influence of baseline characteristics. [PDF]

PeerJ
Chen J, Deng B, He T, He J, Li D, Lu M, Sun J.   +6 more
europepmc   +1 more source

Pre‐Existing Th1 Immunity Outperforms Age in Predicting Antibody Responses to SARS‐CoV‐2 Inactivated Vaccines

Advanced Science, EarlyView.
Challenging the focus on age, this study finds pre‐existing T helper 1 cells are the key biomarker for predicting antibody response to SARS‐CoV‐2 inactivated vaccines. In both mice and humans, high responders exhibited elevated baseline T helper 1 cells, which correlated with robust humoral immunity, offering crucial guidance for improving vaccine ...
Chanyuan Ye, Xiaoli Zhang, Lingfeng Qiu, Jia Ji, Jueqing Gu, Hongyu Jia, Yingfeng Lu, Jiyang Chen, Zelu Meng, Jiangshan Lian, Hangping Yao, Xun Zeng, Yida Yang   +12 more
wiley   +1 more source

Bioinformatics-based multi-omics and machine learning analysis identifies stemness-associated molecular subtypes and a prognostic index in breast cancer. [PDF]

Transl Cancer Res
Hou YY, Chen WJ, Lan YZ, Wu HT, Liu J.
europepmc   +1 more source

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

Advanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li, Dong Zhang, Eryu Peng, Shijun Shen, Hamid Alinejad‐Rokny, Yao Liu, Junke Zheng, Cizhong Jiang, Youqiong Ye   +8 more
wiley   +1 more source