Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Biodiversitasarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Biodiversitas
Article . 2023 . Peer-reviewed
License: CC BY NC SA
Data sources: Crossref
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Molecular determination of the microbial diversity associated with vaginitis and testing their sensitivity to selected antimicrobials

Authors: MASSOOMA HILAL HWAIDI AL-ZAIDI; WIJDAN HUSSAIN AL-TAMIMI; AFRODET ABD-ALRAZAQ SALEH;

Molecular determination of the microbial diversity associated with vaginitis and testing their sensitivity to selected antimicrobials

Abstract

Abstract. Al-Zaidi MHH, Al-Tamimi WH, Saleh AAA. 2023. Molecular determination of the microbial diversity associated with vaginitis and testing their sensitivity to selected antimicrobials. Biodiversitas 24: 4253-4261. Millions of women suffer from bacterial vaginitis is associated with several serious health problems. The present study aimed to investigate the microbial diversity and their sensitivity to different antimicrobial agents. Bacterial isolates were identified by genotyping using the 16S rRNA gene sequencing and BLASTn analysis, while conventional mycological methods identified Candida spp. The disc diffusion method was used to study the antimicrobial susceptibility patterns. The molecular identification showed that Escherichia coli (20.8%) and Staphylococcus haemolyticus (20.8%) were the most frequent species, followed by Klebsiella pneumoniae (16.7%). At the same time, Macrococcus caseolyticus, Streptococcus agalactiae, Staphylococcus aureus, and Bacillus cereus were the least prevalent bacteria (4.16%)—all Candida sp. against the selected antimicrobial agents. Thus, molecular assays are important in monitoring microorganisms associated with vaginitis. Prospective genotyping studies are needed to determine these microbes' resistant genes and understand their mode of action and response to drug therapy.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    2
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
gold
Related to Research communities