Engineering a Biosynthetic Pathway for the Production of (+)-Brevianamides A and B in .

The privileged fused-ring system comprising the bicyclo[2.2.2]diazaoctane (BDO) core is prevalent in diketopiperazine (DKP) natural products with potent and diverse biological activities, with some being explored as drug candidates.

Innate-immune cell distribution in pediatric HIV patients and uninfected controls.

Innate immune cells are important players during an infection. The frequency of monocytes, myeloid-derived suppressor cells (MDSCs), natural killer (NK), and NKT cells were assessed in blood samples of children and adolescents living with HIV (CALHIV) and HIV-uninfected (HU) children. Blood samples from 10 CALHIV (treated or not) and six HU individuals were collected for approximately one year.

Seven versus 14 days of antimicrobial therapy for severe multidrug-resistant Gram-negative bacterial infections in intensive care unit patients (OPTIMISE): a randomised, open-label, non-inferiority clinical trial.

Background: Shorter courses of antimicrobial therapy have been shown to be non-inferior to longer durations for the management of several infections. However, data on critically ill patients with severe infections by multidrug-resistant Gram-negative bacteria (MDR-GNB) are scarce. In the duratiOn of theraPy in severe infecTIons by MultIdrug-reSistant gram-nEgative bacteria (OPTIMISE) trial, we assessed the non-inferiority of 7-day versus 14-day antimicrobial therapy for patients with intensive care unit (ICU)-acquired severe infections by MDR-GNB.

Stillbirth and Congenital Syphilis: Autopsy and Placental Findings of 11 Cases and Review of the Literature.

Syphilis is a preventable and treatable disease, which continues to strike low-income countries and vulnerable populations in high-income countries. It is caused by , a spirochete capable of traversing the placental barrier, with a high rate of fetal and placental infection. Congenital syphilis (CoS) has poor prognosis if left untreated.

Using large language models to detect outcomes in qualitative studies of adolescent depression.

Objective: We aim to use large language models (LLMs) to detect mentions of nuanced psychotherapeutic outcomes and impacts than previously considered in transcripts of interviews with adolescent depression. Our clinical authors previously created a novel coding framework containing fine-grained therapy outcomes beyond the binary classification (eg, depression vs control) based on qualitative analysis embedded within a clinical study of depression. Moreover, we seek to demonstrate that embeddings from LLMs are informative enough to accurately label these experiences.