Bioavailability of in-feed tetracyclines is influenced to a greater extent by crude protein rather than calcium

Granados-Chinchilla, Fabio; Rodríguez, César

doi:10.1016/j.anifeedsci.2014.09.027

Cited by 9 publications

(3 citation statements)

References 32 publications

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“…For example, both arsenic compound and tetracycline have been commonly used in large quantities as growth promotion agents in animal feed, mainly as roxarsone and p-arsanilic acid [ 23 ]. The level of organoarsenic and tetracycline in swine feed can be as high as 100 and 40 mg·kg −1 , respectively [ 6 , 24 ], which corresponds to a molar amount of arsenic and tetracycline approximately equal to the concentration used in this study. Thus, microbes present in animal intestines might be better equipped to survive under tetracycline pressure with the presence of arsenic, and hence have more opportunity to develop further mutations in genes encoding antibiotics resistance [ 25 ].…”

Section: Resultsmentioning

confidence: 99%

Heavy Metal Induced Antibiotic Resistance in Bacterium LSJC7

Chen

Sun

et al. 2015

IJMS

126

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Co-contamination of antibiotics and heavy metals prevails in the environment, and may play an important role in disseminating bacterial antibiotic resistance, but the selective effects of heavy metals on bacterial antibiotic resistance is largely unclear. To investigate this, the effects of heavy metals on antibiotic resistance were studied in a genome-sequenced bacterium, LSJC7. The results showed that the presence of arsenate, copper, and zinc were implicated in fortifying the resistance of LSJC7 towards tetracycline. The concentrations of heavy metals required to induce antibiotic resistance, i.e., the minimum heavy metal concentrations (MHCs), were far below (up to 64-fold) the minimum inhibition concentrations (MIC) of LSJC7. This finding indicates that the relatively low heavy metal levels in polluted environments and in treated humans and animals might be sufficient to induce bacterial antibiotic resistance. In addition, heavy metal induced antibiotic resistance was also observed for a combination of arsenate and chloramphenicol in LSJC7, and copper/zinc and tetracycline in antibiotic susceptible strain Escherichia coli DH5α. Overall, this study implies that heavy metal induced antibiotic resistance might be ubiquitous among various microbial species and suggests that it might play a role in the emergence and spread of antibiotic resistance in metal and antibiotic co-contaminated environments.

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Section: Resultsmentioning

confidence: 99%

Heavy Metal Induced Antibiotic Resistance in Bacterium LSJC7

Chen

Sun

et al. 2015

IJMS

126

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“…Freely dissolved tetracycline fraction was responsible for the rate and magnitude of antibiotic resistance genes expressed [ 117 ]. Likewise, our research has demonstrated that in-feed crude protein and calcium concentrations have a dramatic effect on the bioavailability of 14 different tetracyclines in shrimp, swine, fish, and poultry compound feed [ 118 ]. Using two different biosensors, we demonstrated that the bioavailable tetracycline fraction is inversely related to the protein and calcium content of the feed.…”

Section: Analytical Methods For Tetracyclines Determination and Rementioning

confidence: 99%

Tetracyclines in Food and Feedingstuffs: From Regulation to Analytical Methods, Bacterial Resistance, and Environmental and Health Implications

Granados-Chinchilla

Rodríguez

2017

Journal of Analytical Methods in Chemistry

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254

128

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Antibiotics are widely used as growth promoters in animal husbandry; among them, the tetracyclines are a chemical group of relevance, due to their wide use in agriculture, surpassing in quantities applied almost every other antibiotic family. Seeing the considerable amounts of tetracyclines used worldwide, monitoring of these antibiotics is paramount. Advances must be made in the analysis of antibiotics to assess correct usage and dosage of tetracyclines in food and feedstuffs and possible residues in pertinent environmental samples. The tetracyclines are still considered a clinically relevant group of antibiotics, though dissemination of tolerance and resistance determinants have limited their use. This review focuses on four different aspects: (i) tetracyclines, usage, dosages, and regulatory issues that govern their food-related application, with particular attention to the prohibitions and restrictions that several countries have enforced in recent years by agencies from both the United States and the European Union, (ii) analytical methods for tetracyclines, determination, and residues thereof in feedstuffs and related matrices with an emphasis on the most relevant and novel techniques, including both screening and confirmatory methods, (iii) tetracycline resistance and tetracycline-resistant bacteria in feedstuff, and (iv) environmental and health risks accompanying the use of tetracyclines in animal nutrition. In the last two cases, we discuss the more relevant undesirable effects that tetracyclines exert over bacterial communities and nontarget species including unwanted effects in farmers.

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“…The water content of fresh mulberry leaves was determined by the drying method at 105 • C. The crude protein and soluble sugar in dry mulberry leaves were determined by the Kjeldahl method [24] and the anthrone-sulfuric acid colorimetric method [25], respectively. Each component was subjected to three parallel determinations, and the average value was used as the final result.…”

Section: Reference Determinationmentioning

confidence: 99%

Quantification of Water, Protein and Soluble Sugar in Mulberry Leaves Using a Handheld Near-Infrared Spectrometer and Multivariate Analysis

Zhang

Rita-Cindy

2019

Molecules

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Mulberry (Morus alba L.) leaves are not only used as the main feed for silkworms (Bombyx mori) but also as an added feed for livestock and poultry. In order to rapidly select high-quality mulberry leaves, a hand-held near-infrared (NIR) spectrometer combined with partial least squares (PLS) regression and wavelength optimization methods were used to establish a predictive model for the quantitative determination of water content in fresh mulberry leaves, as well as crude protein and soluble sugar in dried mulberry leaves. For the water content in fresh mulberry leaves, the R-square of the calibration set ( R C 2 ), R-square of the cross-validation set ( R C V 2 ) and R-square of the prediction set ( R P 2 ) are 0.93, 0.90 and 0.91, respectively, the corresponding root mean square error of calibration set (RMSEC), root mean square error of cross-validation set (RMSECV) and root mean square error of prediction set (RMSEP) are 0.96%, 1.13%, and 1.18%, respectively. The R C 2 , R C V 2 and R P 2 of the crude protein prediction model are 0.91, 0.83 and 0.92, respectively, and the corresponding RMSEC, RMSECV and RMSEP are 0.71%, 0.97% and 0.61%, respectively. The soluble sugar prediction model has R C 2 , R C V 2 , and R P 2 of 0.64, 0.51, and 0.71, respectively, and the corresponding RMSEC, RMSECV, and RMSEP are 2.33%, 2.73%, and 2.36%, respectively. Therefore, the use of handheld NIR spectrometers combined with wavelength optimization can fastly detect the water content in fresh mulberry leaves and crude protein in dried mulberry leaves. However, it is a slightly lower predictive performance for soluble sugar in mulberry leaves.

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Bioavailability of in-feed tetracyclines is influenced to a greater extent by crude protein rather than calcium

Cited by 9 publications

References 32 publications

Heavy Metal Induced Antibiotic Resistance in Bacterium LSJC7

Heavy Metal Induced Antibiotic Resistance in Bacterium LSJC7

Tetracyclines in Food and Feedingstuffs: From Regulation to Analytical Methods, Bacterial Resistance, and Environmental and Health Implications

Quantification of Water, Protein and Soluble Sugar in Mulberry Leaves Using a Handheld Near-Infrared Spectrometer and Multivariate Analysis

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