scholarly journals Recent Trend in Antibiotic Resistance Pattern of Methicillin-Resistant Staphylococci from Animal and Human

2018 ◽  
Vol 14 (1) ◽  
Author(s):  
S. N. Ghodasara ◽  
J. H. Purohit ◽  
J. S. Patel ◽  
B. S. Mathapati ◽  
B. B. Javia ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Recent Trend ◽  
Meca Gene ◽  
Pcr Amplification ◽  
Resistance Pattern ◽  
Human Beings ◽  
Methicillin Resistant ◽  
Antibiotic Resistance Pattern ◽  
Staphylococcus Spp ◽  
Animal Isolates

The aim of this study was to evaluate the antibiotic resistance pattern of Methicillin-Resistant Staphylococci (MRS) isolated from animals and human beings. During the study, total 9 MRS isolates from 86 Staphylococcus spp. and 20 MRS isolates from 62 Staphylococcus spp. were identified from 202 animal and 100 human samples, respectively. All the MRS isolates from animals showed higher susceptibility to amikacin and rifampicin (100%) followed by oxytetracyclin (77.78%) and chloramphenicol (66.66%). Similarly, the MRS isolates from human showed higher susceptibility to methicillin (98%) followed by rifampicin and gentamicin (90% each), chloramphenicol (80%) and ofloxacin and levofloxacin (70% each). The higher rates of methicillin, gentamicin, ofloxacin and levofloxacin sensitivity were observed in human beings as compared to animal MRS isolates, whereas higher rates of amikacin, rifampicin and oxytetracyclin sensitivity were observed in animal isolates as compared to human MRS isolates. The MIC level of all the MRS isolates from both the species were recorded and found 89.67% correlation of phenotypic oxacillin susceptibility test with mecA gene PCR amplification among MRS isolates from animal and human.

scholarly journals Exploring Antibiotic Resistance Pattern of Escherichia coli, Salmonella spp., and Staphylococcus spp. Isolated from Eggs in Rajshahi

2021 ◽  
Vol 3 (4) ◽  
pp. 25-30
Author(s):  
Md Hakimul Haque ◽  
Md. Mizanur Rahman ◽  
Md. Lovelu Miah ◽  
Soshe Ahmed ◽  
Md. Rabiul Islam Sazib ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Bacterial Pathogen ◽  
Diffusion Method ◽  
Resistance Pattern ◽  
Salmonella Spp ◽  
Isolation And Identification ◽  
Disk Diffusion Method ◽  
E Coli ◽  
Antibiotic Resistance Pattern ◽  
Staphylococcus Spp

Chicken eggs are a major component of people’s diets, with an average yearly consumption of approximately 103 eggs per person in Bangladesh. Eggs act as an important carrier of food-borne pathogen worldwide. The study was conducted to identify the prevalence and antibiotic resistance pattern of E. coli, Salmonella spp., and Staphylococcus spp., in eggs isolated from farms and different markets of Rajshahi, Bangladesh. A total of 60 eggs were collected randomly between April to December 2019. The isolation and identification of bacterial pathogen was done in accordance with standard procedures. The bacterial isolates were subjected to antibiotic susceptibility testing against seven commonly used antibiotics using Kirby-Bauer disk diffusion method. An overall prevalence of E. coli, Salmonella spp., and Staphylococcus spp. were found to be 35.0%, 28.33%, and 23.33%, respectively. E. coli were found highly resistant to penicillin (100%), tetracycline (80.95%), ampicillin (100%), and erythromycin (85.71%) and were sensitive to amoxicillin (71.42%), ciprofloxacin (85.71%), and gentamicin (95.23%). Salmonella spp. was highly resistant to penicillin (100%), erythromycin (82.35%) and tetracycline (82.35%), and was sensitive to gentamicin (94.11%), amoxicillin (76.47%) and ciprofloxacin (70.58%). Staphylococcus spp. was resistant to penicillin (100%), erythromycin (78.57%), tetracycline (85.71%), amoxicillin (100%), and ampicillin (100%) but sensitive to ciprofloxacin (85.71%), and gentamicin (92.85%). The higher prevalence of multidrug-resistant (MDR) bacteria can easily enter the food chain, which poses a public health threat.

Genetic diversity of healthcare-associated methicillin-resistant Staphylococcus aureus isolates from Southern Iran

2021 ◽  
Author(s):  
Sorour Farzi ◽  
Mohsen Rezazadeh ◽  
Ahmadreza Mirhosseini ◽  
Mohammad Amin Rezazadeh ◽  
Farhan Houshyar ◽  
...  
Keyword(s):  
Staphylococcus Aureus ◽  
Antibiotic Resistance ◽  
Molecular Epidemiology ◽  
Resistance Pattern ◽  
Spa Typing ◽  
Methicillin Resistant ◽  
Antibiotic Resistance Pattern ◽  
Southern Iran ◽  
Resistance Patterns ◽  
Healthcare Associated

AbstractStaphylococcus aureus is a common pathogen causing hospital infections. The increasing rate of healthcare-associated infections caused by methicillin-resistant Staphylococcus aureus (MRSA) in developing countries has led to many public health problems. This study aimed to investigate the molecular epidemiology as well as the antibiotic resistance pattern of clinical isolates of MRSA from Southern Iran. A total of 135 S. aureus isolates were collected from the patients referred to three hospitals in South Iran. The phenotypic and genotypic diagnosis of MRSA isolates was performed by disk diffusion and PCR methods, respectively. The antibiotic resistance pattern for MRSA isolates was performed using Kirby–Bauer method. The molecular epidemiology of isolates was performed by MLST, Spa typing and SCCmec typing. From 135 S. aureus isolates, 50 (37%) MRSA strains were detected from which two different sequence types including ST239 and ST605 were identified. SCCmec type III was the most common profile (50%) and t030 was the predominant spa type (48%) among the strains. The MRSA isolates had the highest resistance to penicillin (100%), tetracycline (88%), levofloxacin (86%), ciprofloxacin (84%), erythromycin (82%), gentamicin (80%), and clindamycin (78%). The results of this study show that the most common genetic type among the MRSA isolates was ST239-SCCmec III/t030. The rapid and timely detection of MRSA and the administration of appropriate antibiotics according to the published antibiotic resistance patterns are essential. Furthermore, the continuous and nationwide MRSA surveillance studies are necessary to investigate clonal distribution and spreading of MRSA from community to hospitals.

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