Results 131 to 140 of about 21,644 (265)

A Novel Workflow for Fast Elucidation of Drug Metabolites for Screening—Combining In Silico Metabolite Prediction With Trapped Ion Mobility QTOF‐MS

open access: yesDrug Testing and Analysis, EarlyView.
UHPLC‐timsTOF‐MS with in silico prediction and automated annotation enabled rapid identification of quetiapine metabolites from pHLMs, facilitating their inclusion in targeted LC‐QTOF‐MS urine screening and improving biomarker detection for toxicological applications.
Annette Zschiesche   +5 more
wiley   +1 more source

Investigation of the In Vitro and In Vivo Metabolism and μ‐Opioid Receptor Affinity of the Nitazene N‐Pyrrolidino Fluetonitazene

open access: yesDrug Testing and Analysis, EarlyView.
Eight metabolites for N‐pyrrolidino fluetonitazene were identified in vitro, three of which (M2, M6 and M8) were present in an authentic urine sample. M2 was the most abundant in vivo metabolite and is a common marker metabolite of nitazepyne‐type substances.
Severin Zemp   +6 more
wiley   +1 more source

Systemic aging fuels heart failure: Molecular mechanisms and therapeutic avenues

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 1059-1080, April 2025.
Abstract Systemic aging influences various physiological processes and contributes to structural and functional decline in cardiac tissue. These alterations include an increased incidence of left ventricular hypertrophy, a decline in left ventricular diastolic function, left atrial dilation, atrial fibrillation, myocardial fibrosis and cardiac ...
Zhuyubing Fang   +7 more
wiley   +1 more source

An Experience‐Sampling Study on the Frequency and Diversity of Positive and Negative Affective States

open access: yesEuropean Journal of Social Psychology, Volume 56, Issue 4, Page 713-725, June 2026.
ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley   +1 more source

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