Antibiotic resistance—the interplay between antibiotic use in animals and human beings

Singer, Randall S.; Finch, Roger; Wegener, Henrik Caspar; Bywater, R.J.; Walters, John; Lipsitch, Marc

doi:10.1016/s1473-3099(03)00490-0

Cited by 245 publications

(119 citation statements)

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“…Furthermore, abusing antibiotics is detrimental to public health and creates environmental pollution [1][2][3][4]. Accordingly, the development of detection tools that can selectively and sensitively detect low concentration of chemicals (ppm level) has drawn much research attention.…”

Section: Introductionmentioning

confidence: 99%

M-13 bacteriophage based structural color sensor for detecting antibiotics

Moon

Park

Kim

et al. 2017

Sensors and Actuators B: Chemical

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Section: Introductionmentioning

confidence: 99%

M-13 bacteriophage based structural color sensor for detecting antibiotics

Moon

Park

Kim

et al. 2017

Sensors and Actuators B: Chemical

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“…The findings shed light on the fact that the addition of antimicrobials to animal feed introduces a selective pressure that may lead to lasting changes among commensal livestock microorganisms. It has also been demonstrated that the use of antimicrobials may promote the development of antimicrobial resistance among bacteria in animals (Singer et al, 2003). Usually, there is a positive correlation between administration of antimicrobials and fecal counts of corresponding resistant bacteria.…”

Section: Introductionmentioning

confidence: 99%

Development of aminoglycoside and Î²-lactamase resistance among intestinal microbiota of swine treated with lincomycin, chlortetracycline, and amoxicillin

Sun

Liu

et al. 2014

Front. Microbiol.

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Lincomycin, chlortetracycline, and amoxicillin are commonly used antimicrobials for growth promotion and infectious disease prophylaxis in swine production. In this study, we investigated the shifts and resistance development among intestinal microbiota in pregnant sows before and after lincomycin, chlortetracycline, and amoxicillin treatment by using phylogenetic analysis, bacterial enumeration, and PCR. After the antimicrobial treatment, shifts in microbial community, an increased proportion of resistant bacteria, and genes related to antimicrobial resistance as compared to the day before antimicrobial administration (day 0) were observed. Importantly, a positive correlation between antimicrobial resistance gene expression in different categories, especially those encoding aminoglycoside and β-lactamase and antimicrobial resistance, was observed. These findings demonstrate an important role of antimicrobial usage in animals in the development of antimicrobial resistance, and support the notion that prudent use of antimicrobials in swine is needed to reduce the risk of the emergence of multi-drug resistant zoonotic pathogens.

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“…However, many pathogenic microorganisms are developing resistance to currently available antibiotics [2] as it has been shown that the prevalence of resistant strains is significantly higher in areas of antibiotics use compared to areas without antibiotics use [3, 4]. Some of the antibiotics resistance mechanisms employed by microorganisms include modifying cell wall architecture [5], actively pumping antibiotics out of the cell [6], and mutating the protein molecules targeted by antibiotics to reduce binding efficiencies [7].…”

Section: Introductionmentioning

confidence: 99%

Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance

Castillo

Ling

2014

BioMed Research International

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Antibiotics resistance is a serious biomedical issue as formally susceptible organisms gain resistance under its selective pressure. There have been contradictory results regarding the prevalence of resistance following withdrawal and disuse of the specific antibiotics. Here, we use experimental evolution in “digital organisms” to examine the rate of gain and loss of resistance under the assumption that there is no fitness cost for maintaining resistance. Our results show that selective pressure is likely to result in maximum resistance with respect to the selective pressure. During deselection as a result of disuse of the specific antibiotics, a large initial loss and prolonged stabilization of resistance are observed, but resistance is not lost to the stage of preselection. This suggests that a pool of partial persists organisms persist long after withdrawal of selective pressure at a relatively constant proportion. Hence, contradictory results regarding the prevalence of resistance following withdrawal and disuse of the specific antibiotics may be a statistical variation about constant proportion. Our results also show that subsequent reintroduction of the same selective pressure results in rapid regain of maximal resistance. Thus, our simulation results suggest that complete elimination of specific antibiotics resistance is unlikely after the disuse of antibiotics once a resistant pool of microorganisms has been established.

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Antibiotic resistance—the interplay between antibiotic use in animals and human beings

Cited by 245 publications

References 1 publication

M-13 bacteriophage based structural color sensor for detecting antibiotics

M-13 bacteriophage based structural color sensor for detecting antibiotics

Development of aminoglycoside and Î²-lactamase resistance among intestinal microbiota of swine treated with lincomycin, chlortetracycline, and amoxicillin

Resistant Traits in Digital Organisms Do Not Revert Preselection Status despite Extended Deselection: Implications to Microbial Antibiotics Resistance

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