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Performance evaluation of the LIOFeron®TB/LTBI IGRA for screening of paediatric LTBI and tuberculosis.

Eur J Pediatr

January 2025

Infectious Diseases Unit, Department of Health Sciences, Anna Meyer Children's University Hospital, University of Florence, Florence, Italy.

Purpose: High-accuracy diagnostic screening tests for Mycobacterium tuberculosis (MTB) infection are required, primarily to detect patients with latent infections (LTBIs) in order to avoid their progression to active tuberculosis disease. The performance of the novel IGRA LIOFeron®TB/LTBI was evaluated in children. The originality of this test is the new MTB antigen contained (L-alanine dehydrogenase), identified as a tool to differentiate active TB from LTBI infection.

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This study aims to explore the long-term physical, neurological, social and emotional development outcomes of the offspring born to patients with systemic lupus erythematosus (SLE), and to provide insights that can assist pediatricians in enhancing the long-term prognosis of these children. We conducted a cross-sectional study on the offspring of SLE patients who had undergone pregnancy and were admitted to our obstetrics department between January 1, 2016 and September 30, 2021. The control group consisted of offspring born to mothers without connective tissue disease, and was matched 1:1 based on age (birth date ± 1 month) with the offspring of SLE patients.

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Hepatitis B virus (HBV) remains a critical public health issue in low- and middle-income countries (LMICs), particularly among pregnant women in Nigeria. Routine screening using rapid diagnostic kits is common in antenatal care, yet the accuracy of these tests can vary. This study aimed to determine the seroprevalencwe of HBV among pregnant women who had previously undergone screening using rapid diagnostic kits at Obafemi Awolowo Teaching Hospital, Ilesa, Osun State, Nigeria, to assess the effectiveness of initial screening and identify any missed cases.

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Covering: 1994 to 2024Historically, microbial natural product discovery has been predominantly guided by biological activity from crude microbial extracts with metabolite characterization proceeding one molecule at a time. Despite decades of bioactivity-guided isolations, genomic evidence now suggests that we have only accessed a small fraction of the total natural product potential from microorganisms and that the products of the vast majority of biosynthetic pathways remain to be identified. Here we describe recent advancements that have enabled high-throughput mass spectrometry and comparative metabolomics, which in turn facilitate high-throughput natural product discovery.

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Human-Validated Neural Networks for Precise Amastigote Categorization and Quantification to Accelerate Drug Discovery in Leishmaniasis.

ACS Omega

January 2025

Laboratory of Natural Products and Mass Spectrometry (LAPNEM), Faculty of Pharmaceutical Sciences, Food, and Nutrition (FACFAN), Federal University of Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul 79070-900, Brazil.

Leishmaniases present a significant global health challenge with limited and often inadequate treatment options available. Traditional microscopic methods for detecting Leishmania amastigotes are time-consuming and error-prone, highlighting the need for automated approaches. This study aimed to implement and validate the YOLOv8 deep learning model for real-time detection, quantification, and categorization of Leishmania amastigotes to enhance drug screening assays.

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