Microbial Communities in Agave Fermentations Vary by Local Biogeographic Regions.

The production of traditional agave spirits in Mexico, such as mezcal, involves a process that uses environmental microorganisms to ferment the cooked must from agave plants. By analysing these microorganisms, researchers can understand the dynamics of microbial communities at the interface of natural and human-associated environments. This study involved 16S and ITS amplicon sequencing of 99 fermentation tanks from 42 distilleries across Mexico.

Lipopolymers as the Basis of Non-Viral Delivery of Therapeutic siRNA Nanoparticles in a Leukemia (MOLM-13) Model.

Small interfering RNA (siRNA) therapy in acute myeloid leukemia (AML) is a promising strategy as the siRNA molecule can specifically target proteins involved in abnormal cell proliferation. The development of a clinically applicable method for delivering siRNA molecules is imperative due to the challenges involved in effectively delivering the siRNA into cells. We investigated the delivery of siRNA to AML MOLM-13 cells with the use of two lipid-substituted polyethyleneimines (PEIs), a commercially available reagent (Prime-Fect) and a recently reported reagent with improved lipid substitution (PEI1.

Enhanced subtyping from stool samples using semi-nested barcode PCR: validation with an NGS-based approach.

In 2006, a PCR method was introduced to subtype by Sanger sequencing of an ≈610 bp amplicon of the 18S rRNA gene. This method, known as barcoding-PCR, has become widespread, although the primer pair used can amplify non- sequences, which can result in false positives. Barcoding-PCR is most effective with DNA extracted from cultures, limiting its sensitivity when used directly with stool samples.

The impact of the Covid-19 pandemic on work accidents with exposure to biological material in Brazil: an interrupted time series analysis.

Objective: To analyze the impact of the Covid-19 pandemic on the occurrence of work accidents involving biological materials (ATBio) and to assess changes in the epidemiological profile of these cases.

Methods: An ecological time-series study with a cross-sectional component was conducted using ATBio notifications in Brazil from 2015 to 2022 in the Information System for Notifiable Diseases (Sinan). Interrupted time-series analyses were performed using Prais-Winsten regression models, temporal predictions, and multiple logistic regression to identify changes in the profile between the pandemic and pre-pandemic periods.