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Objective: This study aimed to establish a multiplex molecular point-of-care assay called incorporating an ultra-fast sample pre-treatment for direct identification of complex (MTBC) and 8 non-tuberculous Mycobacteria (NTM) commonly prioritized in clinical settings, and to evaluate its performance in 149 clinical confirmed mycobacterial-positive samples.
Methods: The study was divided into two stages: a pilot study to establish the methodology and a clinical validation study to evaluate its performance. In the pilot study, we established the and analyzed its performance regarding limits of detection, reproducibility, specificity and efficiency. The clinical validation study was performed using 149 clinical confirmed mycobacterial-positive samples, with 16S rRNA identification as the reference standard. The complete process, from patient to result, was accomplished within 90 minutes.
Results: Of the 149 positive clinical mycobacterial cultures analyzed, 136 were within the designed targets. Among these 136 cultures, 133 samples were correctly identified by , achieving an accuracy rate of 97.79%.
Conclusions: This study demonstrates that with its high accuracy rate are capable to rapidly and effectively differentiate between MTBC and the major NTM species.
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http://dx.doi.org/10.3389/fcimb.2025.1560870 | DOI Listing |
Am J Hum Genet
September 2025
Division of Genetics and Epidemiology, The Institute of Cancer Research, London, UK; The Royal Marsden NHS Foundation Trust, Fulham Road, London, UK. Electronic address:
Multiplex assays of variant effect (MAVEs) provide promising new sources of functional evidence, potentially empowering improved classification of germline genomic variants, particularly rare missense variants, which are commonly assigned as variants of uncertain significance (VUSs). However, paradoxically, quantification of clinically applicable evidence strengths for MAVEs requires construction of "truthsets" comprising missense variants already robustly classified as pathogenic and benign. In this study, we demonstrate how benign truthset size is the primary driver of applicable functional evidence toward pathogenicity (PS3).
View Article and Find Full Text PDFJCI Insight
September 2025
Institute of Pathology, Department of Laboratory Medicine and Pathology, Lausanne University Hospital and Lausanne University, Lausanne, Switzerland.
The regulation of follicular (F) and germinal center (GC) immune reactivity in human lymph nodes (LNs), particularly during the acute stages of viral infection, remains poorly understood: We have analyzed lung-draining lymph nodes (LD-LNs) from COVID-19 autopsies using multiplex imaging and spatial transcriptomics to examine the immune landscape with respect to follicular immune reactivity. We identified three groups of donors based on the Bcl6 prevalence of their Reactive Follicles (RFs): RF-Bcl6no/low, RF-Bcl6int, and RF-Bcl6high. A distinct B/TFH immune landscape, associated with increased prevalence of proliferating B-cell and TFH-cell subsets, was found in RF-Bcl6high LD-LNs.
View Article and Find Full Text PDFHeart Rhythm
September 2025
Translational Cardiology Group, Health Research Institute, Santiago de Compostela, Spain; CIBERCV, Madrid, España. Electronic address:
Background: High % of low-voltage area (LVA), a surrogate of scar, is associated with atrial fibrillation (AF) recurrence after pulmonary vein isolation (PVI). Noninvasive biomarkers of LVA are a medical need for PVI decision.
Objective: We aimed to identify the proteome profile of plasma extracellular vesicles (EVs) associated with high % LVA, their cellular origin, and their regulation by hyperglycemia.
Anal Chem
September 2025
Institute of Molecular Medicine (IMM), Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200240, China.
Membrane receptor recognition is a specific biotargeting strategy for disease diagnosis and treatment, but it suffers from insufficient receptor expression levels. Hydrophobic interaction-based membrane anchoring strategy allows high anchoring density, but it lacks specificity. In this study, we present a DNA nanocage-based artificial receptor generator (DNARG) that combines the advantages of high specificity of receptor recognition and high density of hydrophobic membrane anchoring.
View Article and Find Full Text PDFInfect Prev Pract
September 2025
Department of Microbiology and Immunology, Weill Bugando School of Medicine, Catholic University of Health and Allied Sciences, P. O. Box 1464, Mwanza, Tanzania.
Background: Hospital surfaces are critical reservoirs of multidrug-resistant pathogens, including third-generation cephalosporin-resistant Gram-negative bacteria (3GC-R-GNB), significantly contributing to healthcare-associated infections (HCAIs). This challenge is pronounced in low- and middle-income countries, where resource constraints limit effective infection prevention and control (IPC) measures. This study screened hospital surfaces for 3GC-R-GNB in selected District Hospitals (DHs) in Mwanza, Tanzania.
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