Evaluation of Antimicrobial Resistance and Characterization of Virulence Factors of Pseudomonas aeruginosa Isolates with Special Reference to Biofilm Formation Article Swipe
P Ramu
,
M. Udayashri
,
Maqusood Ahamed
,
Nithyagomatheswari Subbiah
,
T. Jeyamurugan
,
V. Kalaivani
,
R. Gopinath
,
T. Sankaranarayanan
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.4103/bbrj.bbrj_168_23
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.4103/bbrj.bbrj_168_23
Background: Emergence of multi-drug resistant Pseudomonas aeruginosa (PA), coupled with the pathogen’s versatile virulence factors, leads to high morbidity and mortality rates. PA possesses a variety of virulence factors and infections caused by multidrug-resistant PA in clinical isolates are a public health problem. The aim of this study is to evaluate the antimicrobial susceptibility pattern of PA clinical isolates. Methods: A total of 3120 nonrepetitive clinical samples were collected from the Department of Microbiology in the tertiary care hospital, Government Thoothukudi Medical College, Thoothukudi, between August and September of 2022. Antibiotic susceptibility test was performed through the agar disk diffusion method. The ability of producing biofilm was examined by microtiter colorimetric biofilm assay (tissue culture plate method [TCPM]) and Congo red agar method, and the prevalence of the algD, PslD, and PelF genes among the isolates was determined by polymerase chain reaction. Results: Out of 52 isolates, 67.3% were susceptible PA (S-PA) and 32.69% were multidrug-resistant PA (MDR-PA). The most susceptible antibiotic was found to be aztreonam (90.3%), followed by meropenem (84.6%) whereas most of the organisms were found to be resistant to ciprofloxacin (32.6%), followed by levofloxacin (30.75%). In our study, 84% of the isolates were biofilm producers when detected phenotypically by TCPM, out of which 50% were strong, 26.92% were moderate, and 7.62% were weak biofilm producers. The prevalence of the AlgD, PslD, and PelF genes was 75%, 11.53%, and 1.92% among the isolates, respectively. Conclusions: The high rate of S-PA and MDR-PA in its ability to produce biofilm is an alarm for public health. The statistical analysis showed that biofilm production in the S-PA and MDR-PA isolates was statistically significant ( P < 0.03).
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.4103/bbrj.bbrj_168_23
- OA Status
- diamond
- Cited By
- 2
- References
- 26
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4410968582Canonical identifier for this work in OpenAlex
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https://doi.org/10.4103/bbrj.bbrj_168_23Digital Object Identifier
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Evaluation of Antimicrobial Resistance and Characterization of Virulence Factors of Pseudomonas aeruginosa Isolates with Special Reference to Biofilm FormationWork title
- Type
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articleOpenAlex work type
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enPrimary language
- Publication year
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2023Year of publication
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2023-07-01Full publication date if available
- Authors
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P Ramu, M. Udayashri, Maqusood Ahamed, Nithyagomatheswari Subbiah, T. Jeyamurugan, V. Kalaivani, R. Gopinath, T. SankaranarayananList of authors in order
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https://doi.org/10.4103/bbrj.bbrj_168_23Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.4103/bbrj.bbrj_168_23Direct OA link when available
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Pseudomonas aeruginosa, Microbiology, Biofilm, Virulence, Antimicrobial, Antibiotic resistance, Biology, Bacteria, Antibiotics, Genetics, GeneTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.in | 35, 74, 245, 264 |
| abstract_inverted_index.is | 48, 251 |
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| abstract_inverted_index.was | 93, 106, 136, 162, 228, 270 |
| abstract_inverted_index.< | 275 |
| abstract_inverted_index.3120 | 63 |
| abstract_inverted_index.75%, | 229 |
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| abstract_inverted_index.S-PA | 242, 266 |
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| abstract_inverted_index.care | 77 |
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| abstract_inverted_index.(PA), | 7 |
| abstract_inverted_index.1.92% | 232 |
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| abstract_inverted_index.67.3% | 147 |
| abstract_inverted_index.7.62% | 214 |
| abstract_inverted_index.AlgD, | 223 |
| abstract_inverted_index.Congo | 119 |
| abstract_inverted_index.PslD, | 129, 224 |
| abstract_inverted_index.TCPM, | 203 |
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| abstract_inverted_index.among | 133, 233 |
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| abstract_inverted_index.genes | 132, 227 |
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| abstract_inverted_index.plate | 115 |
| abstract_inverted_index.study | 47 |
| abstract_inverted_index.total | 61 |
| abstract_inverted_index.which | 206 |
| abstract_inverted_index.(S-PA) | 151 |
| abstract_inverted_index.0.03). | 276 |
| abstract_inverted_index.26.92% | 210 |
| abstract_inverted_index.32.69% | 153 |
| abstract_inverted_index.August | 85 |
| abstract_inverted_index.MDR-PA | 244, 268 |
| abstract_inverted_index.caused | 31 |
| abstract_inverted_index.health | 41 |
| abstract_inverted_index.method | 116 |
| abstract_inverted_index.public | 40, 255 |
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| abstract_inverted_index.showed | 260 |
| abstract_inverted_index.study, | 191 |
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| abstract_inverted_index.11.53%, | 230 |
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| abstract_inverted_index.[TCPM]) | 117 |
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| abstract_inverted_index.through | 95 |
| abstract_inverted_index.variety | 25 |
| abstract_inverted_index.whereas | 172 |
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| abstract_inverted_index.(90.3%), | 167 |
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| abstract_inverted_index.Methods: | 59 |
| abstract_inverted_index.Results: | 142 |
| abstract_inverted_index.analysis | 259 |
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| abstract_inverted_index.detected | 200 |
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| abstract_inverted_index.followed | 168, 185 |
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| abstract_inverted_index.tertiary | 76 |
| abstract_inverted_index.(30.75%). | 188 |
| abstract_inverted_index.(MDR-PA). | 157 |
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| abstract_inverted_index.reaction. | 141 |
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