Deconfounding Sex and Sex of Partner in Mate-Preference Research.

Much of the previous research examining sex differences in human mate preferences has relied exclusively on heterosexual participants. Consequently, prior work overlooks a critical limitation: In heterosexual populations, participant sex and partner sex are perfectly confounded. Here, we tease apart this fundamental problem by separately examining ideal preferences for male and female partners across two studies-one using a large bisexual sample ( = 442) and another using a sample of both bisexual and heterosexual participants ( 380).

Translational modeling of BTZ-043 in predicting phase IIA efficacy and evaluating drug-drug interactions with BPaL in murine models.

Introduction: BTZ-043 is a promising novel drug candidate for anti-tuberculosis treatment. This study aimed to apply a previously developed mouse-to-human translational modeling platform for anti-tuberculosis drugs to predict phase IIA outcomes for BTZ-043 in humans and evaluate the impact of observed drug-drug interactions on the contribution of BTZ-043 to combotherapy in a mouse model.

Methods: The study utilized data from mouse experiments for BTZ-043 monotherapy and combotherapy with bedaquiline, pretomanid, and linezolid, and clinical information for BTZ-043 monotherapy.

Safety and Tolerability of SGLT-2 Inhibitors Following Lung Transplantation.

Sodium-glucose cotransporter-2 inhibitors (SGLT2i's) are frequently prescribed for T2DM control, with additional efficacy in congestive heart failure therapy and preserving renal function in CKD. Despite their potential to mitigate comorbidities, prescribing of SGLT2i's following solid organ transplantation has been limited due to safety concerns regarding infection, renal function, and diabetic ketoacidosis. SGLT2i prescription following transplantation of other solid organs has been evaluated, but only one study included a limited number of lung transplant recipients.

A new method for detecting mixed Mycobacterium tuberculosis infection and reconstructing constituent strains provides insights into transmission.

Background: Mixed infection with multiple strains of the same pathogen in a single host can present clinical and analytical challenges. Whole genome sequence (WGS) data can identify signals of multiple strains in samples, though the precision of previous methods can be improved. Here, we present MixInfect2, a new tool to accurately detect mixed samples from Mycobacterium tuberculosis short-read WGS data.