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Blood Metagenomic Sequence Analysis for Evaluation of Chronic Systemic Infections

Chand Pasha, , Mohammed Shakeel1 , Ayla Sanjay2 , Zainab Kausar3 , Vadlamudi Nikhil4 , Chand Pasha5

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Journal of Microbiology and Related Research 10(1):p 21-27, . | DOI: http://dx.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.
 

Received : N/A         Accepted : N/A          Published : N/A
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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Authors and Affiliatione

  • Chand Pasha,
    ,
  • Mohammed Shakeel1
    ,
  • Ayla Sanjay2
    ,
  • Zainab Kausar3
    ,
  • Vadlamudi Nikhil4
    ,
  • Chand Pasha5
    ,
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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.
 

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DOI: http://dx.doi.org/10.21088/jmrr.2395.6623.10124.3
Keywords Meta genomic DNA sequence analysis; Systemic infections; Dialysis; Uncultured Bacteria; Blood infection.

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