Background: Salmonella enterica subsp. enterica serovars Typhimurium (S. Typhimurium) and Heidelberg (S. Heidelberg) are major causes of foodborne salmonellosis, accounting for a fifth of all annual salmonellosis cases in the United States. Rapid, efficient and accurate methods for identification are required for routine surveillance and to track specific strains during outbreaks. We used Pulsed-field Gel Electrophoresis (PFGE) and a recently developed molecular subtyping approach termed CRISPR-MVLST that exploits the hypervariable nature of virulence genes and Clustered Regularly Interspaced Short Palindromic Repeats (CRISPRs) to subtype clinical S. Typhimurium and S. Heidelberg isolates.
Results: We analyzed a broad set of 175 S. Heidelberg and S. Typhimurium isolates collected over a five-year period. We identified 21 Heidelberg Sequence Types (HSTs) and 37 Typhimurium STs (TSTs) that were represented by 27 and 45 PFGE pulsotypes, respectively, and determined the discriminatory power of each method.
Conclusions: For S. Heidelberg, our data shows that combined typing by both CRISPR-MVLST and PFGE provided a discriminatory power of 0.9213. Importantly, CRISPR-MVLST was able to separate common PFGE patterns such as JF6X01.0022 into distinct STs, thus providing significantly greater discriminatory power. Conversely, we show that subtyping by either CRISPR-MVLST or PFGE independently provides a sufficient discriminatory power (0.9345 and 0.9456, respectively) for S. Typhimurium. Additionally, using isolates from two S. Typhimurium outbreaks, we demonstrate that CRISPR-MVLST provides excellent epidemiologic concordance.
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http://dx.doi.org/10.1186/1471-2180-13-254 | DOI Listing |
J Appl Stat
May 2024
Department of Aviation Management, Republic of China Air Force Academy, Kaohsiung, Taiwan.
Ensuring products maintain their normal function during the warranty period is essential for companies to control warranty costs and sustain their brand reputation. A variables acceptance sampling (VAS) plan based on the lifetime performance index (LPI) is a practical technology for verifying product lifetimes because it can provide the number of failures required for life testing and the acceptance criterion for lot disposition. Recently, an LPI-based variables quick-switch sampling (VQSS) system has been developed to improve the sampling efficiency.
View Article and Find Full Text PDFForensic Sci Int Genet
December 2024
BGI Forensic, Shenzhen 518083, China. Electronic address:
In this study, we developed and validated a novel microhaplotype (MH) panel, the FGID Microhaplotype Kit, which contains 232 loci and was specifically designed for forensic kinship analysis. The performance of the panel was evaluated through rigorous testing that included sensitivity, species specificity, inhibitor resistance, uniformity, stability, accuracy and mixture deconvolution. The results showed that the kit is capable of reliably detecting all loci with minimal DNA input.
View Article and Find Full Text PDFPharmacotherapy
January 2025
Department of Pharmacy Services, Medical University of South Carolina Health, Charleston, South Carolina, USA.
Background: Infections caused by extended-spectrum β-lactamase-producing Enterobacterales (ESBL-E) are increasing in the United States. Although many risk factor scoring tools exist, many are specific to bloodstream isolates and may not represent all patient populations. The purpose of this study was to create and validate an institution-specific scoring tool for select ESBL-E of non-urinary origin based on previously identified risk factors.
View Article and Find Full Text PDFMol Ecol Resour
January 2025
Leibniz Institute for the Analysis of Biodiversity Change, Museum Koenig, Bonn, Germany.
Illegal wildlife trade is a growing problem internationally. Poaching of animals not only leads to the extinction of populations and species but also has serious consequences for ecosystems and economies. This study introduces a molecular marker system that authorities can use to detect and substantiate wildlife trafficking.
View Article and Find Full Text PDFJTCVS Open
December 2024
Division of Cardiothoracic Surgery, Department of Surgery, Medical University of South Carolina, Charleston, SC.
Objective: Machine learning (ML) may allow for improved discernment of hemodynamics and oxygen delivery compared to standard invasive monitoring. We hypothesized that an ML algorithm could predict impaired delivery of oxygen (IDO) with comparable discrimination to invasive mixed venous oxygen saturation (SvO) measurement.
Methods: A total of 230 patients not on mechanical circulatory support (MCS) managed with a pulmonary artery catheter (PAC) were identified from 1012 patients admitted to a single cardiovascular intensive care unit (CVICU) between April 2021 and January 2022.
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