LowLoad-qPCR as a novel clinical strategy for detecting low-load bacteremia

The primary obstacle in detecting bloodstream infections is their often extremely low bacterial concentration. To accurately detect such infections, we developed a quantitative PCR assay, named LowLoad-qPCR, based on the combination of increased input DNA by random priming amplification method and the use of multiple probes sharing a single fluorophore. Here, we detail the key improvements over conventional qPCR and evaluate its performance using blood samples.

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Publication Details

Journal
Scientific Reports
Published
2026-01-03
DOI
https://doi.org/10.1038/s41598-025-34230-w
Primary Topic
Bacterial Identification and Susceptibility Testing
Type
article
Field-Weighted Citation Impact
0.00

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article

LowLoad-qPCR as a novel clinical strategy for detecting low-load bacteremia

G. Martín-Gutiérrez, José Miguel Cisneros, José Manuel Ortiz de la Rosa, Paula Gómez Estévez et al.
Scientific Reports
Bacterial Identification and Susceptibility Testing
article

LowLoad-qPCR as a novel clinical strategy for detecting low-load bacteremia

G. Martín-Gutiérrez, José Miguel Cisneros, José Manuel Ortiz de la Rosa, Paula Gómez Estévez, José Antonio Lepe
article en

Abstract

The primary obstacle in detecting bloodstream infections is their often extremely low bacterial concentration. To accurately detect such infections, we developed a quantitative PCR assay, named LowLoad-qPCR, based on the combination of increased input DNA by random priming amplification method and the use of multiple probes sharing a single fluorophore. Here, we detail the key improvements over conventional qPCR and evaluate its performance using blood samples.

Scientific ReportsVol. 16(1)
Universidad Loyola Andalucía (ES), Centro de Investigación Biomédica en Red (ES), Instituto de Biomedicina de Sevilla (ES), Hospital Universitario Virgen del Rocío (ES), Universidad de Sevilla (ES)
Ministerio de Ciencia, Innovación y Universidades, European Commission, Instituto de Salud Carlos III
Openalex Percentile: Top 98%
Bacterial Identification and Susceptibility Testing
DOIOpen Access PDFOpenAlex
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