RISMEAU dataset: Pharmaceuticals and biocides concentrations in urban and agricultural sludge, amended soil and leachate and their environmental impacts.

The RISMEAU project ( - Risks related to residues of pharmaceuticals and biocides, and antimicrobial resistance of human and veterinary origin on the water resources of the 2083 km Arve catchment located in the French Alps) was implanted from 2018 to 2024 on the SIPIBEL observatory. It was devoted to the evaluation of (i) transfers of and processes related to pharmaceutical residues and biocides from both urban sludge and manure spread on fields as fertilisers, and (ii) the environmental impacts of land spreading, in particular the ecotoxicological risks and antimicrobial resistance dissemination. The methodology was based on the physico-chemical, ecotoxicological and antimicrobial resistance (AMR - assessed by molecular biology) characterisation of leachate and soil matrices samples, and focused on organic waste products application at locally representative agronomic rates.

Measurement and modelling of water flows and pesticide leaching under low input cropping systems.

One current challenge in sustainable agriculture is to redesign cropping systems to reduce the use and impacts of pesticides, and by doing so protect the environment, in particular groundwater, and human health. As a large range of systems could be explored and a wide number of pesticides used, field experiments cannot be carried out to study the sustainability of each of them. Thus, the objectives of this work were (1) to measure water flows and pesticide leaching in six contrasted low input cropping systems based on sunflower-wheat rotation, oilseed rape-wheat-barley rotation, and maize monoculture, experimented for three years in three different soil and climatic conditions, and (2) to assess and to compare the ability of three pesticide fate models (MACRO, PEARL, PRZM) to simulate the observed water flows and pesticide concentrations.

'Taking it one day at a time' and 'Reaching back out to help someone': How transgender women living with HIV and community stakeholders navigate violence, oppression, and health through coping and advocacy.

Background: Transgender women living with HIV face intersectional oppression resulting in consequences for their mental and physical health. Interventions are needed that center the voices of transgender women living with HIV (TWLWH) and community stakeholders engrossed in work on behalf of the transgender community through advocacy and/or work roles.

Methods: Through a partnership with a trans led and focused program of a community-based health organization and an academic partner, from October 2020 through October 2021, TWLWH and community stakeholders participated in qualitative interviews on trauma, violence, mental health struggles, HIV stigma, gender discrimination, health behaviors (e.

Seven-year performance of a clinical metagenomic next-generation sequencing test for diagnosis of central nervous system infections.

Metagenomic next-generation sequencing (mNGS) of cerebrospinal fluid (CSF) is an agnostic method for broad-based diagnosis of central nervous system (CNS) infections. Here we analyzed the 7-year performance of clinical CSF mNGS testing of 4,828 samples from June 2016 to April 2023 performed by the University of California, San Francisco (UCSF) clinical microbiology laboratory. Overall, mNGS testing detected 797 organisms from 697 (14.

Laboratory validation of a clinical metagenomic next-generation sequencing assay for respiratory virus detection and discovery.

Tools for rapid identification of novel and/or emerging viruses are urgently needed for clinical diagnosis of unexplained infections and pandemic preparedness. Here we developed and clinically validated a largely automated metagenomic next-generation sequencing (mNGS) assay for agnostic detection of respiratory viral pathogens from upper respiratory swab and bronchoalveolar lavage samples in <24 h. The mNGS assay achieved mean limits of detection of 543 copies/mL, viral load quantification with 100% linearity, and 93.