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Blood Metagenomic Sequence Analysis for Evaluation of Chronic Systemic Infections

Chand Pasha, Mohammed Shakeel, Ayla Sanjay, Zainab Kausar, Vadlamudi Nikhil

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

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Journal of Microbiology and Related Research 10(1):p 21-27, January – June 2024. | DOI: https://doi.org/10.21088/jmrr.2395.6623.10124.3

How Cite This Article:

Mohammed Shakeel, Ayla Sanjay, Zainab Kausar et al. Blood Metagenomic Sequence Analysis for Evaluation of Chronic Systemic Infections. J Microbiol Relat Res. 2024;10(1):21–27.

Timeline

Received : February 21, 2024         Accepted : May 08, 2024          Published : June 25, 2024

Abstract

Blood systemic infections (BSIs) are major threat in hemodialysis patients. BSIs are diagnosed by blood culturing for bacteria and serology for virus infections. These two methods are time taking and expensive and not covering all BSI microbes. An attempt is made to compare microbial culturing and viral screening with serology by ELISA with blood metagenomic sequencing and sequence analysis. In blood agar media culturing 7 microbes (6 bacterial and 1 fungus), in ELISA screening 0 viruses and in metagenomic sequence analysis 24 microbes (19 bacteria and 1 fungus, 3 viruses, 1 mycoplasma) were detected. Unculturable bacteria are also detected by metagenomic sequence analysis. Hence metagenomic sequence analysis can be best as method for effective detection of BSI’s.


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Data Sharing Statement

There are no additional data available. All raw data and code are available upon request.

Funding

This research received no funding.

Author Contributions

All authors contributed significantly to the work and approve its publication.

Ethics Declaration

This article does not involve any human or animal subjects, and therefore does not require ethics approval.

Acknowledgements

We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.

Conflicts of Interest

No conflicts of interest in this work.


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Cite this article

Mohammed Shakeel, Ayla Sanjay, Zainab Kausar et al. Blood Metagenomic Sequence Analysis for Evaluation of Chronic Systemic Infections. J Microbiol Relat Res. 2024;10(1):21–27.


Licence:

Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.


Received Accepted Published
February 21, 2024 May 08, 2024 June 25, 2024

DOI: https://doi.org/10.21088/jmrr.2395.6623.10124.3

Keywords

Meta genomic DNA sequence analysisSystemic infectionsDialysisUncultured BacteriaBlood infection

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Received February 21, 2024
Accepted May 08, 2024
Published June 25, 2024

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Attribution-Non-commercial 4.0 International (CC BY-NC 4.0)

This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.


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