Results 101 to 110 of about 219,191 (253)

Integrated PANoptosis Profiling Identifies Immunosuppressive Subtypes and a Prognostic Signature With Functional Validation of MLKL in Glioblastoma

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective The prognosis of glioblastoma (GBM) remains highly unfavorable, largely due to high tumor heterogeneity and an immunosuppressive microenvironment. However, the functional role of PANoptosis in this context is poorly understood. Methods Patients were stratified via K‐means clustering. A risk score model was constructed using prognosis‐
Langfei Tian, Minghui Zhao, Yuanbo Hu, Kaiyue Wang, Haiguang Liu, Zetong Bai, Kebin Zheng   +6 more
wiley   +1 more source

Computational Design of Phosphotriesterase Improves V‐Agent Degradation Efficiency

ChemistryOpen
Organophosphates (OPs) are a class of neurotoxic acetylcholinesterase inhibitors including widely used pesticides as well as nerve agents such as VX and VR.
Jacob Kronenberg, Stanley Chu, Andrew Olsen, Dustin Britton, Leif Halvorsen, Shengbo Guo, Ashwitha Lakshmi, Jason Chen, Maria Jinu Kulapurathazhe, Cetara A. Baker, Benjamin C. Wadsworth, Cynthia J. Van Acker, John G. Lehman III, Tamara C. Otto, P. Douglas Renfrew, Richard Bonneau, Jin Kim Montclare   +16 more
doaj   +1 more source

Chemical Warfare Agents: Structure, Properties, Decontamination (Part 2)

Журнал органічної та фармацевтичної хімії
The review is aimed at summarizing and systematizing information about various methods of deactivation of chemical warfare agents that are necessary on the battlefield, as well as in laboratories, research institutions, and facilities of production ...
Olexander E. Shumeiko, Mykola I. Korotkikh   +1 more
doaj   +1 more source

Enzymatic Decontamination of G-Type, V-Type and Novichok Nerve Agents. [PDF]

Int J Mol Sci, 2021
Jacquet P, Rémy B, Bross RPT, van Grol M, Gaucher F, Chabrière E, de Koning MC, Daudé D.   +7 more
europepmc   +1 more source

Rheumatologic Manifestations of Patients With Type B Insulin Resistance

Arthritis Care &Research, EarlyView.
Objective The objectives of this study were to identify laboratory and clinical features associated with type B insulin resistance (TBIR), a rare condition caused by autoantibodies that inhibit the insulin receptor, most frequently occurring in the setting of systemic lupus erythematosus (SLE), and to increase awareness of this rare, life‐threatening ...
S. Amara Ogbonnaya, Sandra G. Williams, Raphael A. Kirou, Marissa Lightbourne, Rebecca J. Brown   +4 more
wiley   +1 more source

Discordance Between Systemic Lupus Erythematosus Disease Activity Index Domain Weights and Their Association With Organ Damage Accrual

Arthritis Care &Research, EarlyView.
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1–8) assigned to each domain.
Kevin Zhang, Eric F. Morand, Sarah E. Boyd, François Petitjean, Alberta Hoi, Rachel Koelmeyer, Iolanda Miceli, Julie A. Monk, Hieu T. Nim   +8 more
wiley   +1 more source

Molecular Recognition of Nerve Agents and Their Organophosphorus Surrogates: Toward Supramolecular Scavengers and Catalysts. [PDF]

Chemistry, 2021
Finnegan TJ, Gunawardana VWL, Badjić JD.   +2 more
europepmc   +1 more source

Development of a Disease Activity Index for the Assessment of VEXAS Syndrome (VEXAS‐DAI)

Arthritis Care &Research, Accepted Article.
Objective VEXAS syndrome is characterized by a complex spectrum of inflammatory and hematologic manifestations. Clinical research to identify effective therapies is urgently needed but is hindered by the lack of validated outcome measures. A VEXAS‐specific disease activity index (DAI) is an essential tool for reliably capturing changes in disease ...
Kevin Byram, Heřman Mann, Danielle Hammond, Onima Chowdhury, Sinisa Savic, Yohei Kirino, Carmelo Gurnari, Maël Heiblig, Thibault Comont, Arsène Mekinian, Mrinal M. Patnaik, Lachelle D. Weeks, Gary Ho, Adam Al‐Hakim, Scott Goldberg, Marcela A. Ferrada, Sophie Georgin‐Lavialle, Peter C. Grayson, Emma M. Groarke, Bhavisha Patel, Megan Sullivan, Sarah A. Buckley, Bryan G. Harder, Raman Garcha, David B. Beck, Matthew J. Koster   +25 more
wiley   +1 more source

UiO-66-NH₂ and Zeolite-Templated Carbon Composites for the Degradation and Adsorption of Nerve Agents. [PDF]

Molecules, 2021
Lee J, Ka D, Jung H, Cho K, Jin Y, Kim M.   +5 more
europepmc   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source