Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant women
Background and objective. An abnormal vaginal discharge and an increase in intestinal aerobic bacteria indicate a vaginal infection. The aim of this study was to assess the antimicrobial susceptibility profiles of bacterial species present in the vaginal microbiota of both non-pregnant and pregnant...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Amaltea Medical Publishing House
2023-06-01
|
Series: | Romanian Journal of Infectious Diseases |
Subjects: | |
Online Access: | https://rjid.com.ro/articles/2023.2/RJID_2023_2_Art-02.pdf |
_version_ | 1797305019702181888 |
---|---|
author | Alaa Mohammed Alali Ayad Almakki Maysara Mohammed Al-Badran |
author_facet | Alaa Mohammed Alali Ayad Almakki Maysara Mohammed Al-Badran |
author_sort | Alaa Mohammed Alali |
collection | DOAJ |
description | Background and objective. An abnormal vaginal discharge and an increase in intestinal aerobic bacteria indicate a vaginal infection. The aim of this study was to assess the antimicrobial susceptibility profiles of bacterial species present in the vaginal microbiota of both non-pregnant and pregnant women. Material and method. A total of 211 vaginal swabs were collected from 120 pregnant and 91 non-pregnant women. The VITEK 2 Compact Automated System validates bacterial isolate diagnosis and antibiotic susceptibility. Results. Out of 120 vaginal samples of pregnant women, 105 samples were identified as Gram-positive (GP) (79) and Gram-negative (GN) (26) while 15 samples were unidentified by VITEK®. The 91 nonpregnant samples comprised identified GP (53), GN (23) and unidentified samples (15). The GP bacteria were highly resistant to Oxacillin (OX1) in both groups, while the GN bacteria were resistant to Ceftazidime (CAZ) and ticarcillin (TIC) in nonpregnant group and TIC in the pregnant groups. The GP bacteria in both groups were sensitive to Tigecycline (TGC). Pregnant and non-pregnant GN bacteria were sensitive to Meropenem (MEM) (61.5%) and Piperacillin/Tazobactam (TZP) (91.3%), respectively.
Conclusion. The current study showed that TZP and MEM were both groups' most effective antibiotics against GN isolates. GP bacteria were significantly TGC-sensitive. |
first_indexed | 2024-03-08T00:18:53Z |
format | Article |
id | doaj.art-40d4140fa8cb4b028353c0583298750c |
institution | Directory Open Access Journal |
issn | 1454-3389 2069-6051 |
language | English |
last_indexed | 2024-03-08T00:18:53Z |
publishDate | 2023-06-01 |
publisher | Amaltea Medical Publishing House |
record_format | Article |
series | Romanian Journal of Infectious Diseases |
spelling | doaj.art-40d4140fa8cb4b028353c0583298750c2024-02-16T13:32:21ZengAmaltea Medical Publishing HouseRomanian Journal of Infectious Diseases1454-33892069-60512023-06-01262526110.37897/RJID.2023.2.2Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant womenAlaa Mohammed Alali0Ayad Almakki1Maysara Mohammed Al-Badran2Department of Laboratory Sciences, College of Pharmacy, University of Basrah, Basrah, Iraq Department of Laboratory Sciences, College of Pharmacy, University of Basrah, Basrah, Iraq Department of Obstetrics and Gynecology, College of Medicine, University of Basrah, Basrah, IraqBackground and objective. An abnormal vaginal discharge and an increase in intestinal aerobic bacteria indicate a vaginal infection. The aim of this study was to assess the antimicrobial susceptibility profiles of bacterial species present in the vaginal microbiota of both non-pregnant and pregnant women. Material and method. A total of 211 vaginal swabs were collected from 120 pregnant and 91 non-pregnant women. The VITEK 2 Compact Automated System validates bacterial isolate diagnosis and antibiotic susceptibility. Results. Out of 120 vaginal samples of pregnant women, 105 samples were identified as Gram-positive (GP) (79) and Gram-negative (GN) (26) while 15 samples were unidentified by VITEK®. The 91 nonpregnant samples comprised identified GP (53), GN (23) and unidentified samples (15). The GP bacteria were highly resistant to Oxacillin (OX1) in both groups, while the GN bacteria were resistant to Ceftazidime (CAZ) and ticarcillin (TIC) in nonpregnant group and TIC in the pregnant groups. The GP bacteria in both groups were sensitive to Tigecycline (TGC). Pregnant and non-pregnant GN bacteria were sensitive to Meropenem (MEM) (61.5%) and Piperacillin/Tazobactam (TZP) (91.3%), respectively. Conclusion. The current study showed that TZP and MEM were both groups' most effective antibiotics against GN isolates. GP bacteria were significantly TGC-sensitive.https://rjid.com.ro/articles/2023.2/RJID_2023_2_Art-02.pdfmicrobial diversityantimicrobial susceptibility profilevaginosisdelivery wardantibiotic resistance |
spellingShingle | Alaa Mohammed Alali Ayad Almakki Maysara Mohammed Al-Badran Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant women Romanian Journal of Infectious Diseases microbial diversity antimicrobial susceptibility profile vaginosis delivery ward antibiotic resistance |
title | Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant women |
title_full | Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant women |
title_fullStr | Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant women |
title_full_unstemmed | Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant women |
title_short | Identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non-pregnant women |
title_sort | identification and antibiotic susceptibility patterns of vaginal microbiome isolated from pregnant and non pregnant women |
topic | microbial diversity antimicrobial susceptibility profile vaginosis delivery ward antibiotic resistance |
url | https://rjid.com.ro/articles/2023.2/RJID_2023_2_Art-02.pdf |
work_keys_str_mv | AT alaamohammedalali identificationandantibioticsusceptibilitypatternsofvaginalmicrobiomeisolatedfrompregnantandnonpregnantwomen AT ayadalmakki identificationandantibioticsusceptibilitypatternsofvaginalmicrobiomeisolatedfrompregnantandnonpregnantwomen AT maysaramohammedalbadran identificationandantibioticsusceptibilitypatternsofvaginalmicrobiomeisolatedfrompregnantandnonpregnantwomen |