Population Pharmacokinetics of Orvacabtagene Autoleucel, an Autologous BCMA-Directed Chimeric Antigen Receptor T-Cell Product, in Patients with Relapsed/Refractory Multiple Myeloma.

Purpose: Orvacabtagene autoleucel (orva-cel; JCARH125), a CAR T-cell therapy targeting B-cell maturation antigen (BCMA), was evaluated in relapsed/refractory multiple myeloma (RRMM) patients in the EVOLVE phase 1/2 study (NCT03430011). We applied a modified piecewise model to characterize orva-cel transgene kinetics and assessed the impact of various covariates on its pharmacokinetics (PK).

Experimental Design: The population PK analysis included 159 patients from the EVOLVE study.

Plasma and salivary hormone responses to a 30-min exercise stress test in young, healthy, physically active females.

Overreaching, a consequence of intensified training, is used by athletes to enhance performance. A blunted hormonal response to a 30-min interval exercise stress test (55/80) has been shown in males after intensified training, highlighting cortisol and testosterone as potential biomarkers of overreaching. Despite accounting for ~50% of the population, studies into hormonal responses to exercise in females are lacking.

The impact of confirmation bias awareness on mitigating susceptibility to misinformation.

Introduction: In the current digital age, the proliferation of misinformation presents a formidable challenge to a democratic society. False narratives surrounding vaccination efforts pose a significant public health risk. Understanding the role of cognitive biases in susceptibility to misinformation is crucial in addressing this challenge.

A Peculiar Case of Cabergoline Response to a Non-functioning Cystic Pituitary Adenoma in a Young Adult Male.

We present an interesting case of a cystic, pituitary adenoma that showed up insidiously with non-traditional clinical symptoms. The standard of care for non-functioning pituitary adenomas is transsphenoidal surgery. However, with pharmacotherapy using cabergoline (a dopamine receptor agonist), the patient had a near disappearance of the tumor.

Leveraging artificial intelligence to identify the psychological factors associated with conspiracy theory beliefs online.

Given the profound societal impact of conspiracy theories, probing the psychological factors associated with their spread is paramount. Most research lacks large-scale behavioral outcomes, leaving factors related to actual online support for conspiracy theories uncertain. We bridge this gap by combining the psychological self-reports of 2506 Twitter (currently X) users with machine-learning classification of whether the textual data from their 7.