Microbial Profile and Antibiotic Susceptibility of Campylobacter spp. and Salmonella spp. in Broilers Processed in Air-Chilled and Immersion-Chilled Environments

2002 ◽  
Vol 65 (6) ◽  
pp. 948-956 ◽  
Author(s):  
MARCOS X. SÁNCHEZ ◽  
WADE M. FLUCKEY ◽  
MINDY M. BRASHEARS ◽  
SHELLY R. McKEE
Keyword(s):  
Antibiotic Resistance ◽  
Bacterial Growth ◽  
Cross Contamination ◽  
Salmonella Spp ◽  
E Coli ◽  
Microbial Profile ◽  
Resistance Patterns ◽  
Poultry Processing ◽  
Antibiotic Resistance Patterns ◽  
Campylobacter Spp

Carcass chilling is considered a critical step for inhibiting bacterial growth during poultry processing. The objective of this study was to compare microbiological loads and the incidence of Salmonella spp. and Campylobacter spp. on broiler carcasses subjected to immersion chilling and air chilling. Additionally, the antibiotic resistance patterns of pathogen isolates were determined. The results of this study indicated that the incidence of Salmonella spp. and Campylobacter spp. tends to be significantly lower in air-chilled broilers, suggesting that cross-contamination may be more prevalent for immersion-chilled broilers. No significant differences were detected between chilling treatments for total aerobic populations or for generic E. coli or coliform counts. Psychrotrophic populations were significantly larger (P < 0.05) in immersion-chilled broilers than in their air-chilled counterparts. Campylobacter isolates from immersion-chilled broilers had a higher incidence of resistance to nalidixic acid (NAL) and related fluoroquinolones than isolates from air-chilled broilers did. Additionally, Campylobacter isolates from air-chilled broilers had a higher frequency of resistance to tetracycline than isolates from immersion-chilled broilers did. With regard to Salmonella, isolates from immersion-chilled broilers had a higher incidence of resistance to NAL than isolates from air-chilled samples did. No Salmonella isolates from immersion- or air-chilled broilers were resistant to the fluoroquinolonestested. The chilling method used during processing may influence the microbial profile of postchilled broilers.

scholarly journals Antimicrobial Resistance Pattern against E. coli and Salmonella spp. in Environmental Effluents

2016 ◽  
Vol 5 (2) ◽  
pp. 52-58 ◽  
Author(s):  
MM Hassan ◽  
M Ahaduzzaman ◽  
M Alam ◽  
MS Bari ◽  
KB Amin ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Pathogenic Bacteria ◽  
Health Concern ◽  
Diffusion Method ◽  
Resistance Pattern ◽  
Salmonella Spp ◽  
E Coli ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns ◽  
Veterinary Hospital

Hospitals (medical & veterinary) and slaughterhouse effluents were the most contaminating effluents and need to be paid more attention due to pathogenic bacteria related to animal and public health concern. Two bacterial isolates such as E. coli and Salmonella from six medical hospitals, five veterinary hospitals and five slaughter houses were isolated to find out the antibiotic resistance pattern by using disc diffusion method. The antibiotic resistance patterns of identified isolates showed that Ampicillin, Ciprofloxacin, Enrofloxacin, Pefloxacin, Colistin, Erythromycin, Oxytetracycline were 100%, Doxycycline was 83%, Gentamycin was 50% and Neomycin was 33% resistance to medical isolates and Ampicillin, Enrofloxacin, Pefloxacin and Erythromycin were 100%, Ciprofloxacin was 40%, Colistin was 60%, Doxycycline was 80%, Gentamycin was 20%; Neomycin and Oxytetracycline 80% resistance to veterinary hospital isolates and Ampicillin, Enrofloxacin, Ciprofloxacin, Pefloxacin, Colistin, Oxytetracycline, Gentamycin, Doxycycline and Erythromycin were 100% and Neomycin was 40% resistance to slaughter houses isolates of E. coli. The level of resistance of Salmonella positive isolates was found Ampicillin, Enrofloxacin, Pefloxacin, Gentamycin and Erythromycin to 100%, Ciprofloxacin was 67%, Oxytetracycline was 33% but Colistin and Neomycin was found sensitive to the isolates from both medical and veterinary hospital. Results indicated that hospitals and slaughter houses waste effluent has multiple-antibiotic resistance against E. coli and Salmonella.International Journal of Natural Sciences (2015), 5(2) 52-58

scholarly journals Antibiotic resistance and residue in chicken, cattle, buffalo and goat meats in different southern districts of Bangladesh

2021 ◽  
Vol 5 (1) ◽  
pp. 19-26
Author(s):  
Bidyut Matubber ◽  
Farzana Islam Rume ◽  
Mohammad Enamul Hoque Kayesh ◽  
Mohammad Mahfuzur Rahman ◽  
Mohammad Rohul Amin ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Chicken Meat ◽  
Human Consumption ◽  
Antibiotic Residues ◽  
Salmonella Spp ◽  
Resistance Patterns ◽  
Cattle Meat ◽  
Meat Samples ◽  
Controlling Measures ◽  
Antibiotic Resistance Patterns

The presence of antibiotic residue in chicken and animal meats is a serious threat to human health due to its harmful effects. This study aimed at identifying the antibiotic resistance patterns of the isolates as well as antibiotic residues in chicken, cattle, buffalo and goat meats in different southern districts of Bangladesh. A total of 205 meat samples, including 70 chicken meat, 60 cattle meat, 50 buffalo meat and 25 goat meat were aseptically collected and analysed for the detection of antibiotic residues by thin layer chromatography and the isolates obtained from these samples were subjected to antibiogram study against 16 commonly used antibiotics. The isolates found in this study were Staphylococcus spp., Streptococcus spp., Escherichia coli, and Salmonella spp. and their prevalence were 37.5% (77/205), 22.1% (48/205), 29.7% (61/205), 8.7% (19/205), respectively. The isolates showed different degrees of sensitivity to the antibiotics used in the study. The most resistant phenotype was against cefradine, amoxicillin, penicillin, oxytetracycline, erythromycin, and enrofloxacin. 18.5% (38/205) meat samples were found to be positive for antibiotic residues and the highest prevalence was observed in chicken meat compared to other meat types. Overall, the findings of the study suggest that it is important to take controlling measures for the emergence of antibiotic resistance and also for ensuring healthy meats for human consumption. Asian Australas. J. Food Saf. Secur. 2021, 5 (1), 19-26

scholarly journals Antibiotic Resistance Patterns of Diverse Escherichia coli Phylogenetic Groups Isolated from the Al-Hillah River in Babylon Province, Iraq

2019 ◽  
Vol 2019 ◽  
pp. 1-8 ◽  
Author(s):  
Mourouge Saadi Alwash ◽  
Hawraa Mohammed Al-Rafyai
Keyword(s):  
Escherichia Coli ◽  
Antibiotic Resistance ◽  
Anthropogenic Activities ◽  
Health Concern ◽  
Resistant Bacteria ◽  
Anthropogenic Pressures ◽  
Phylogenetic Groups ◽  
E Coli ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns

Surface water contamination remains a major worldwide public health concern and may contribute to the dissemination of antibiotic-resistant bacteria. The Al-Hillah River in the city of Babylon Province, Iraq, diverts flows from the Euphrates River. Because of its importance in irrigation and population density, it faces several forced and unforced changes due to anthropogenic activities. To evaluate water quality, water samples were collected from three sites with different anthropogenic pressures along the Al-Hillah River. These samples were subjected to bacteriological analyses, i.e., total coliforms, Escherichia coli, and faecal enterococci. The phylogenetic groups of the E. coli isolates (n = 61) were typed by rapid PCR-based analyses. Representatives of each isolate were tested phenotypically for resistance to six classes of antibiotics and characterized according to their phylogenetic groups. The results demonstrated the highest resistance levels were to β-lactam antibiotics, followed by fosfomycin and aminoglycosides. Escherichia coli isolates belonging to phylogenetic groups A and B2 were the most common and were characterized by a higher prevalence of antibiotic resistance. This study is important for understanding the current conditions of the Al-Hillah River, as the data reveal a high prevalence of multiresistance among E. coli isolates circulating at the three sampling sites.

scholarly journals Antibiotic Resistance Patterns in a University Hospital in Al-Kharj City

2019 ◽  
pp. 1-5
Author(s):  
Nehad J. Ahmed ◽  
Mohd F. Khan
Keyword(s):  
Antibiotic Resistance ◽  
Bacterial Resistance ◽  
Treatment Guidelines ◽  
Resistance Rate ◽  
University Hospital ◽  
Antimicrobial Drugs ◽  
E Coli ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns

Introduction: Antibiotics are medications that are used to kill a bacterium which causes different infections. The misuse of these medications has contributed to the development of bacterial resistance. In order to predict the efficacy of the antimicrobial drugs and to guide antimicrobial therapy, antibiogram should be used. Objective: This study aims to explore the Antibiotic resistance patterns in a university hospital in AL-kharj city. Methods: Data from a university hospital in Al-Kharj city were used to assess the in vitro antimicrobial susceptibility rates for different types of bacteria. We included all bacterial and fungal cultures in the last 2 years. Results: The most common bacterium was E. coli and the most common fungus pathogen was Candida albicans. There was a low resistance rate to gentamicin, imipenem, meropenem and amikacin for the studied bacteria pathogens and high resistance rate for some antibiotics such as erythromycin, tetracycline and ampicillin. Conclusion: The physicians should follow the treatment guidelines and they should know the susceptibility rate of different bacteria to prescribe antibiotics appropriately.

scholarly journals Genotypes of Esbl Producing Escherichia Coli and Klebsiella Pneumoniae in Relation to Resistance to Antimicrobial Drugs

PRILOZI ◽  
2014 ◽  
Vol 35 (2) ◽  
pp. 31-38
Author(s):  
Ana Kaftandzieva ◽  
Elena Trajkovska-Dokic ◽  
Vesna Kotevska ◽  
Zaklina Cekovska ◽  
Gordana Jankoska
Keyword(s):  
Antibiotic Resistance ◽  
Klebsiella Pneumoniae ◽  
Antimicrobial Agents ◽  
Single Gene ◽  
Tracheal Aspirate ◽  
Beta Lactams ◽  
Antimicrobial Drugs ◽  
E Coli ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns

Abstract The aim of the study was to evaluate the association of drug resistance with β-lactamase gene types in ESBL positive E. coli and Klebsiella pneumoniae-Kp. Material and methods: A total of 251 ESBL-positive E. coli and Kp isolates obtained from urine, tracheal aspirate, wound swab and blood from patients hospitalised at the University Clinics in Skopje were detected using the ESBL set and automated Vitek 2 system. Vitek was also used for susceptibility testing (determination of MIC of 17 antimicrobial agents). Multiplex PCR was used to identify genes for different types of ESBLs in a 100 randomly selected, ESBL positive strains. Results: More of the 87 ESBL typeable isolates (61%) harbour two or more bla genes and the frequency of antibiotic resistance was high in these isolates, compared to those with a single gene. Isolates with ≥ 3 genes were highly resistant to beta-lactams and non-beta lactams used. The degree of resistance to 3rd generation cephalosporins was also high in these isolates (MIC ≥ 64). More of the ESBL-positive isolates showed higher resistance to cefotaxime than to ceftazidime. Conclusion: Identification of the genes is necessary for the surveillance of their transmission in hospitals. Surveillance of antibiotic resistance patterns are crucial to overcome the problems associated with ESBLs.

Bacterial growth and antibiotic resistance patterns in cirrhotic ascites

Infection ◽  
2017 ◽  
Vol 45 (5) ◽  
pp. 719-720
Author(s):  
Jose D. Debes ◽  
Daniel Beisang ◽  
Paola Ricci
Keyword(s):  
Antibiotic Resistance ◽  
Bacterial Growth ◽  
Resistance Patterns ◽  
Antibiotic Resistance Patterns

scholarly journals Temporal Dynamics and Impact of Manure Storage on Antibiotic Resistance Patterns and Population Structure of Escherichia coli Isolates from a Commercial Swine Farm

2007 ◽  
Vol 73 (17) ◽  
pp. 5486-5493 ◽  
Author(s):  
Patrick Duriez ◽  
Edward Topp
Keyword(s):  
Escherichia Coli ◽  
Antibiotic Resistance ◽  
Population Structure ◽  
Temporal Dynamics ◽  
Swine Farm ◽  
Bacterial Populations ◽  
E Coli ◽  
Resistance Patterns ◽  
Fresh Feces ◽  
Antibiotic Resistance Patterns

ABSTRACT Many confined-livestock farms store their wastes for several months prior to use as a fertilizer. Storing manure for extended periods could significantly bias the composition of enteric bacterial populations subsequently released into the environment. Here, we compared populations of Escherichia coli isolated from fresh feces and from the manure-holding tank (stored manure) of a commercial swine farm, each sampled monthly for 6 months. The 4,668 confirmed E. coli isolates were evaluated for resistance to amikacin, ampicillin, cephalothin, chloramphenicol, kanamycin, nalidixic acid, streptomycin, sulfamethoxazole, tetracycline, trimethoprim, and trimethoprim plus sulfamethoxazole. A subset of 1,687 isolates was fingerprinted by repetitive extragenic palindromic PCR (rep-PCR) with the BOXA1R primer to evaluate the diversity and the population structure of the collection. The population in the stored manure was generally more diverse than that in the fresh feces. Half of the genotypes detected in the stored manure were never detected in the fresh fecal material, and only 16% were detected only in the fresh feces. But the majority of the isolates (84%) were assigned to the 34% of genotypes shared between the two environments. The structure of the E. coli population showed important monthly variations both in the extent and distribution of the diversity of the observed genotypes. The frequency of detection of resistance to specific antibiotics was not significantly different between the two collections and varied importantly between monthly samples. Resistance to multiple antibiotics was much more temporally dynamic in the fresh feces than in the stored manure. There was no relationship between the distribution of rep-PCR fingerprints and the distribution of antibiotic resistance profiles, suggesting that specific antibiotic resistance determinants were dynamically distributed within the population.

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