Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Quantification of bacterial DNA in blood using droplet digital PCR: a pilot study

View ORCID ProfileAna P. Tedim, View ORCID ProfileIrene Merino, Alicia Ortega, Marta Domínguez-Gil, José Maria Eiros, View ORCID ProfileJesús F. Bermejo-Martín
doi: https://doi.org/10.1101/2022.12.02.518639
Ana P. Tedim
1Group for Biomedical Research in Sepsis (BioSepsis). Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007 Salamanca, Spain
2Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012 Valladolid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ana P. Tedim
  • For correspondence: anspedrosa@gmail.com
Irene Merino
3Microbiology Department, Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012 Valladolid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Irene Merino
Alicia Ortega
1Group for Biomedical Research in Sepsis (BioSepsis). Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007 Salamanca, Spain
2Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012 Valladolid, Spain
4Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CIBERES), CB22/06/00035, Instituto de Salud Carlos III, Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marta Domínguez-Gil
3Microbiology Department, Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012 Valladolid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
José Maria Eiros
3Microbiology Department, Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012 Valladolid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jesús F. Bermejo-Martín
1Group for Biomedical Research in Sepsis (BioSepsis). Instituto de Investigación Biomédica de Salamanca, (IBSAL), Paseo de San Vicente, 58-182, 37007 Salamanca, Spain
2Hospital Universitario Río Hortega, Calle Dulzaina, 2, 47012 Valladolid, Spain
4Centro de Investigación Biomédica en Red en Enfermedades Respiratorias (CIBERES), CB22/06/00035, Instituto de Salud Carlos III, Av. de Monforte de Lemos, 3-5, 28029 Madrid, Spain
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Jesús F. Bermejo-Martín
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Bloodstream infections (BSIs) caused by bacteria associated with sepsis are among the leading causes of mortality, particularly in critically ill patients [1,2]. The gold standard method for the microbiological diagnosis of BSIs is still blood culture, which is slow, cannot detect viruses, and only yield positive results in one-third of suspected BSIs and sepsis cases [1,3]. Droplet digital PCR (ddPCR) is a next-generation PCR method, with great precision and accuracy, that allows absolute quantification of target gene(s) without a standard curve and little interference from normal PCR inhibitors[4]. These characteristics make ddPCR an ideal method for the detection and quantification of pathogens directly from blood or other clinical samples [4] in patients with suspected BSI and sepsis. The aim of this work was to use genus/species specific genes ddPCR assays to detect and quantify bacterial DNA from four of the most common BSIs pathogens in blood. Here we demonstrate the quantification capacity and specificity of two duplex ddPCR assays that allow the detection and quantification of Escherichia coli, Klebsiella pneumoniae, Staphylococcus aureus and Enterococcus spp directly from blood.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
Back to top
PreviousNext
Posted December 02, 2022.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Quantification of bacterial DNA in blood using droplet digital PCR: a pilot study
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Quantification of bacterial DNA in blood using droplet digital PCR: a pilot study
Ana P. Tedim, Irene Merino, Alicia Ortega, Marta Domínguez-Gil, José Maria Eiros, Jesús F. Bermejo-Martín
bioRxiv 2022.12.02.518639; doi: https://doi.org/10.1101/2022.12.02.518639
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Quantification of bacterial DNA in blood using droplet digital PCR: a pilot study
Ana P. Tedim, Irene Merino, Alicia Ortega, Marta Domínguez-Gil, José Maria Eiros, Jesús F. Bermejo-Martín
bioRxiv 2022.12.02.518639; doi: https://doi.org/10.1101/2022.12.02.518639

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Microbiology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4237)
  • Biochemistry (9159)
  • Bioengineering (6797)
  • Bioinformatics (24054)
  • Biophysics (12149)
  • Cancer Biology (9564)
  • Cell Biology (13819)
  • Clinical Trials (138)
  • Developmental Biology (7653)
  • Ecology (11731)
  • Epidemiology (2066)
  • Evolutionary Biology (15536)
  • Genetics (10664)
  • Genomics (14352)
  • Immunology (9504)
  • Microbiology (22883)
  • Molecular Biology (9120)
  • Neuroscience (49089)
  • Paleontology (357)
  • Pathology (1487)
  • Pharmacology and Toxicology (2576)
  • Physiology (3851)
  • Plant Biology (8349)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2300)
  • Systems Biology (6204)
  • Zoology (1302)