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Research Article
Zhiyong Lai
First Hospital of Shanxi Medical University
Corresponding Author
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Bacterial culture and drug susceptibility testing are used to identify bacteria associated with infections. Nevertheless, the process requires several days from collection to the identification of bacterial species and drug resistance patterns. The digital PCR system is a rapidly developing quantitative detection technology widely used in many fields, including pathogenic microorganism detection, early diagnosis of tumor markers, and analysis of gene expression with its advantages. The purpose of this study was to use a droplet digital PCR system to identify bacteria in blood samples, to explore its ability to identify common pathogenic microorganisms. We designed primers and probes for Escherichia coli and Staphylococcus aureus specific genes for the ddPCR system to identify in blood samples mixed with both organisms. The system had extremely high detection accuracy in samples and the detection rate of E. coli was 13.1–21.4% and that of S. aureus was 50–88.3%. The system identified blood samples containing both bacteria, with detection rates of 18.1%–97%. The ddPCR system qualitatively and quantitatively measured common pathogenic microorganisms in blood samples with high sensitivity and accuracy, providing rapid and accurate detection of pathogenic microorganisms.
Keywords
Droplet digital PCR, Escherichia coli, Staphylococcus aureus, Blood samples
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View the published article at Scientific Reports.
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Posted 10 Dec, 2020
No community comments so far
Editorial decision: Major revision
On 30 Dec, 2020
Reviews received
Received 15 Dec, 2020
Reviewers agreed
On 13 Dec, 2020
Reviewers agreed
On 13 Dec, 2020
Reviewers invited
Invitations sent on 13 Dec, 2020
Editor assigned
On 13 Dec, 2020
Editor invited
On 08 Dec, 2020
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On 08 Dec, 2020
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A new preprint design is coming!
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See the published version of this preprint at Scientific Reports.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research Article
Zhiyong Lai
First Hospital of Shanxi Medical University
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Scientific Reports.
Version 1
Posted 10 Dec, 2020
No community comments so far
Editorial decision: Major revision
On 30 Dec, 2020
Reviews received
Received 15 Dec, 2020
Reviewers agreed
On 13 Dec, 2020
Reviewers agreed
On 13 Dec, 2020
Reviewers invited
Invitations sent on 13 Dec, 2020
Editor assigned
On 13 Dec, 2020
Editor invited
On 08 Dec, 2020
Submission checks complete
On 08 Dec, 2020
First submitted
On 03 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Scientific Reports.
Bacterial culture and drug susceptibility testing are used to identify bacteria associated with infections. Nevertheless, the process requires several days from collection to the identification of bacterial species and drug resistance patterns. The digital PCR system is a rapidly developing quantitative detection technology widely used in many fields, including pathogenic microorganism detection, early diagnosis of tumor markers, and analysis of gene expression with its advantages. The purpose of this study was to use a droplet digital PCR system to identify bacteria in blood samples, to explore its ability to identify common pathogenic microorganisms. We designed primers and probes for Escherichia coli and Staphylococcus aureus specific genes for the ddPCR system to identify in blood samples mixed with both organisms. The system had extremely high detection accuracy in samples and the detection rate of E. coli was 13.1–21.4% and that of S. aureus was 50–88.3%. The system identified blood samples containing both bacteria, with detection rates of 18.1%–97%. The ddPCR system qualitatively and quantitatively measured common pathogenic microorganisms in blood samples with high sensitivity and accuracy, providing rapid and accurate detection of pathogenic microorganisms.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
This is a list of supplementary files associated with this preprint. Click to download.
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