Assessing the genetic basis of antibiotic resistance in Escherichia coli through advanced electrophoretic and PCR techniques

Escherichia coli resistance to antibiotics is a growing concern for the global population, particularly in hospitals. This r e search proposal seeks to determine the genetic factors affecting antibiotic resistance in E. coli isolated from culture urine and sputum samples in a given area. We examined 150 samples using gel electrophoresis and PCR methods to study antibiotic resistance patterns and identify the genes responsible for resistance. Sample collections included urine and sputum samples, E. coli isolation, and antibiotic sensitivity tests using the disk diffusion technique. We performed PCR and other molecular procedures to identify gene resistance associated with ampicillin, ciprofloxacin, nitrofurantoin, ceftazidime, gentamicin, and trimethoprim-sulfamethoxazole. The results show that there was a high level of antibiotic resistance. For example, 70% of the isolates were not sensitive to ampicillin. Other antibiotics that encountered resistan ce were ciprofloxacin (35%), ceftaz i dime (40%), gentamicin (25%), and trimethoprim-sulfamethoxazole (30%). Molecular typing also found important resi s tance genes, like blaTEM, qnrA, and aac (3), in many of the resistant isolates. This shows that the observed resistance pr o files are based on genes. In conclusion, this study underscores the importance of implementing antibiotic stewardship mea s ures and continuously monitoring the antibiotic resistance of E. coli . Knowledge of the genetic profile of antibiotic-resistant bacteria is essential in the formulation of specific treatment regimens to improve patients' lives and, ultimately, reduce the effects of antibiotic-resistant infections on public health.

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Publication Details

Journal
Regulatory Mechanisms in Biosystems
Published
2025-02-23
DOI
https://doi.org/10.15421/0225036
Citations
1
Primary Topic
Antibiotic Resistance in Bacteria
Type
article
Field-Weighted Citation Impact
0.59
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article

Assessing the genetic basis of antibiotic resistance in Escherichia coli through advanced electrophoretic and PCR techniques

Samah Al‐Qaisi, Sarmad Qassim Mohammad, Idriss Saleh Jalil, Duaa Adnan Kadhum
1 citations
Regulatory Mechanisms in Biosystems
Antibiotic Resistance in Bacteria
0.59
article

Assessing the genetic basis of antibiotic resistance in Escherichia coli through advanced electrophoretic and PCR techniques

Samah Al‐Qaisi, Sarmad Qassim Mohammad, Idriss Saleh Jalil, Duaa Adnan Kadhum
article en
1 citations

Abstract

Escherichia coli resistance to antibiotics is a growing concern for the global population, particularly in hospitals. This r e search proposal seeks to determine the genetic factors affecting antibiotic resistance in E. coli isolated from culture urine and sputum samples in a given area. We examined 150 samples using gel electrophoresis and PCR methods to study antibiotic resistance patterns and identify the genes responsible for resistance. Sample collections included urine and sputum samples, E. coli isolation, and antibiotic sensitivity tests using the disk diffusion technique. We performed PCR and other molecular procedures to identify gene resistance associated with ampicillin, ciprofloxacin, nitrofurantoin, ceftazidime, gentamicin, and trimethoprim-sulfamethoxazole. The results show that there was a high level of antibiotic resistance. For example, 70% of the isolates were not sensitive to ampicillin. Other antibiotics that encountered resistan ce were ciprofloxacin (35%), ceftaz i dime (40%), gentamicin (25%), and trimethoprim-sulfamethoxazole (30%). Molecular typing also found important resi s tance genes, like blaTEM, qnrA, and aac (3), in many of the resistant isolates. This shows that the observed resistance pr o files are based on genes. In conclusion, this study underscores the importance of implementing antibiotic stewardship mea s ures and continuously monitoring the antibiotic resistance of E. coli . Knowledge of the genetic profile of antibiotic-resistant bacteria is essential in the formulation of specific treatment regimens to improve patients' lives and, ultimately, reduce the effects of antibiotic-resistant infections on public health.

Regulatory Mechanisms in BiosystemsVol. 33(1)
Middle Technical University (IQ), University of Diyala (IQ)
Openalex Percentile: Top 37%
Antibiotic Resistance in Bacteria
0.59
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