Aims: To verify monoplex and multiplex gene-specific linear-after-the-exponential polymerase chain reaction (LATE-PCR) assays for identifying 17 microbial pathogens (i.e., Klebsiella sp., Acinetobacter baumannii, Staphylococcus aureus, Enterobacter sp., Pseudomonas aeruginosa, coagulase negative staphylococci, Enterococcus sp., Candida sp.) commonly associated with septicaemia using clinical isolates.
Methods And Results: Clinical isolates of each target pathogen were collected from the University of California, Davis Medical Center (UCDMC) microbiology laboratory. Five microlitres (μl) of each culture suspension (1 × 10(8) CFU ml(-1) ) were added to 20 μl of monoplex mastermix. DNA extracted from clinical isolates was tested in multiplex. Monoplex assays demonstrated 100% sensitivity at this input level, except Enterobacter cloacae (2.7%), Ac. baumannii (57%) and Ps. aeruginosa (97.8%). All clinical isolates were positive in multiplex, with the exception of two Ac. baumannii, two Klebsiella oxytoca and two Candida parapsilosis isolates.
Conclusions: Sixteen pathogens can be identified by monoplex LATE-PCR assays with sensitivities ≥ 97.8%. The multiplex assay demonstrated 91.4% sensitivity when tested with DNA extracted from 70 different target strains.
Significance And Impact Of The Study: This study demonstrates the potential of LATE-PCR to serve as an adjunct to culture if the reagents are optimized for sensitivity. Results warrant further testing through analytical and clinical validation of the multiplex assay.
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http://dx.doi.org/10.1111/jam.12062 | DOI Listing |
Gut Microbes
December 2025
Copenhagen Prospective Studies on Asthma in Childhood, Copenhagen University Hospital, Herlev-Gentofte, Gentofte, Denmark.
Asthma is a chronic disease affecting millions of children worldwide, and in severe cases requires hospitalization. The etiology of asthma is multifactorial, caused by both genetic and environmental factors. In recent years, the role of the early-life gut microbiome in relation to asthma has become apparent, supported by an increasing number of population studies, research, and intervention trials.
View Article and Find Full Text PDFInfect Prev Pract
March 2025
Central Department of Biotechnology, Tribhuvan University, Kirtipur, Nepal.
Introduction: Meticillin resistant (MRSA) is a major contributor to surgical site infections in post-operative patients. Hospital environments harbor MRSA, contributing to higher risk of nosocomial infections. Meticillin resistance is conferred by acquisition of gene, typically carried on mobile genetic element called Staphylococcal Cassette Chromosome (SCC).
View Article and Find Full Text PDFIndian J Crit Care Med
November 2024
Department of Critical Care Medicine, King George's Medical University, Lucknow, Uttar Pradesh, India.
Aims And Background: Carbapenem-resistant (CRAb), a major public health threat, causes severe infections in Intensive Care Unit (ICU) patients. It resists β-lactam antibiotics through mechanisms like New Delhi metallo-beta-lactamase (NDM).
Materials And Methods: In ICU patients, 69 species were isolated from 86 non-fermenting Gram-negative bacilli.
Access Microbiol
January 2025
Department of Microbiology, Lady Hardinge Medical College & Associated Hospitals, New Delhi, Delhi, India.
Coronavirus disease 2019 (COVID-19) pandemic has been prevailing for more than a year, associated with an increased number of opportunistic invasive fungal infections in patients who have been critically ill or immunocompromised. In this retrospective study, details of various clinical specimens received from suspected patients of fungal infections were studied. Fungal cultures were positive in 64% (51 out of 79) of COVID-19-positive patients and 43% (163 out of 381) of COVID-19-negative patients during the second wave of COVID-19 in 2021.
View Article and Find Full Text PDFCancer Manag Res
January 2025
Department of Pancreatic and Gastric Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
Introduction: Early diagnosis is crucial for improving the prognosis of patients with gastric cancer (GC). However, the currently used biomarkers for diagnosing GC have limited sensitivity and specificity. This study aimed to develop a novel diagnostic model based on miRNAs from glycosylated extracellular vesicles and evaluate its effectiveness in diagnosing gastric cancer.
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