Results 281 to 290 of about 839,197 (349)

Overcoming PEG Antigenicity: Statistical PEG Isomers Reduce Antibody Binding

Advanced Science, EarlyView.
Conventional poly(ethylene glycol) (PEG) is commonly applied in biomedicine, but is now known to induce antibody formation. Here, it is shown that the development of “randomized PEG” (rPEG) featuring glycidyl methyl ether (GME) comonomers decreased antibody binding.
Mareike Deuker, Dominik Schulz, Kaloian Koynov, Svenja Morsbach, Holger Frey, Katharina Landfester   +5 more
wiley   +1 more source

Retraction Note: Glimepiride mitigates tauopathy and neuroinflammation in P301S transgenic mice: role of AKT/GSK3β signaling. [PDF]

Inflammopharmacology
Zaki MO, El-Desouky S, Elsherbiny DA, Salama M, Azab SS.   +4 more
europepmc   +1 more source

Zinc Grid Based Transparent Electrodes for Organic Photovoltaics

Advanced Energy Materials, EarlyView.
A transparent flexible electrode based on an embedded zinc grid with ≈1 µm linewidth is reported, and its utility as a drop‐in replacement for indium‐tin oxide coated glass electrodes in organic photovoltaic devices is demonstrated. The zinc grids are fabricated using the unconventional approach of condensation coefficient modulation, using a ...
Philip Bellchambers, Louis Ammon, Arielle Fitkin, Matthew Dingley, Marc Walker, Szymon Abrahamczyk, Callum Pritchard, Gabriele C. Sosso, Ross A. Hatton   +8 more
wiley   +1 more source

Investigating the potential causal link between BPA and ovarian carcinogenesis: a network toxicology and mendelian randomization study on the CTRC/PRDX1/SKP1 pathway. [PDF]

J Ovarian Res
Shi Z, Li Z, Yang F.
europepmc   +1 more source

Mitochondria‐Targeted AIE Materials for Oxidative Stress‐Mediated Cancer Therapy and Beyond

Aggregate, EarlyView.
This review summarizes recent advances in mitochondria‐targeted AIE materials that enable controllable oxidative stress for cancer therapy and beyond. It highlights the potential of such exogenous oxidative stress in innovative therapeutic applications and biological regulation, while also outlining key limitations and future perspectives.
Na Hao, Bohong Chen, Xinxiang Wei, Yixuan Bao, Ru Zhang, Pu Chen, Jia Liu, Heqi Gao, Rongfu Tu, Chao Chen   +9 more
wiley   +1 more source

Elucidating the Mechanism of Liver and Kidney Damage in Rats Caused by Exposure to 2,4-Dichlorophenoxyacetic Acid and the Protective Effect of <i>Lycium barbarum</i> Polysaccharides Based on Network Toxicology and Molecular Docking. [PDF]

Int J Mol Sci
Luo X, Wei Y, Luo J, Meng X, Yang Y, Liu N, Yang H, Zhou J.   +7 more
europepmc   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Artificial Intelligence Applications in Emergency Toxicology: Advancements and Challenges.

J Med Internet Res
Yong LPX, Tung JYM, Cheung NMT, Lee ZY, Ng EY, Ng AJY, Lim CKW, Boon Y, Lim DYZ, Sng GGR, Tang JZY.   +10 more
europepmc   +1 more source

PNA5, a glycosylated angiotensin-(1-7) mas receptor agonist for vascular dementia: A two species toxicology and toxicokinetic study. [PDF]

Toxicol Rep
Hoyer-Kimura C, Konhilas JP, Hay M.
europepmc   +1 more source

Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features

Advanced Intelligent Discovery, EarlyView.
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar, Sophia Buttny, Célia Sahli, Kenry   +3 more
wiley   +1 more source