Gender and activity disparities in the relationship between circadian syndrome and gallstone disease.

Objective: To explore the potential correlation between gallstone disease (GSD) prevalence and circadian syndrome (CircS).

Methods: The cross-sectional research utilized data spanning 2017 to March 2020, sourced from the National Health and Nutrition Examination Survey (NHANES). The GSD data were collected via questionnaires, with appropriate sample weights applied to ensure the study population was representative.

Untargeted metabolomics reveal the corrective effects of scorpion on epileptic mice.

Scorpion is a commonly used drug in traditional Chinese medicine for treating epilepsy, although the exact mechanisms are not yet fully understood. This study aimed to compare the treatment effects of Scorpion water extract (SWE) and Scorpion ethanol extract (SEE) on mice with pentetrazole-induced epilepsy and investigate the possible mechanisms through metabolomics methods. A pentetrazole-induced epileptic mice model was used to assess the corrective effects of SWE and SEE.

Subtle Structural Modifications Spanning from EP4 Antagonism to EP2/EP4 Dual Antagonism: A Novel Class of Thienocyclic-Based Derivatives.

The development of dual prostaglandin E receptors 2/4 (EP2/EP4) antagonists represents an attractive strategy for cancer immunotherapy. Herein, a series of 4,7-dihydro-5-thieno[2,3-]pyran derivatives with potent EP2/EP4 dual antagonism were discovered by fine-tuned structural modifications. The biphenyl side chain was found to be the key pharmacophore for the transition from EP4 antagonism to EP2/EP4 dual antagonism.

Preoperative discrimination of absence or presence of myometrial invasion in endometrial cancer with an MRI-based multimodal deep learning radiomics model.

Objective: Accurate preoperative evaluation of myometrial invasion (MI) is essential for treatment decisions in endometrial cancer (EC). However, the diagnostic accuracy of commonly utilized magnetic resonance imaging (MRI) techniques for this assessment exhibits considerable variability. This study aims to enhance preoperative discrimination of absence or presence of MI by developing and validating a multimodal deep learning radiomics (MDLR) model based on MRI.