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Article

Dietary Exposure Assessment of Veterinary Antibiotics in Pork Meat on Children and Adolescents in Cyprus

by
Demetra Kyriakides
1,2,*,
Andreas C. Lazaris
1,
Konstantinos Arsenoglou
2,
Maria Emmanouil
2,
Olympia Kyriakides
3,
Nikolaos Kavantzas
1 and
Irene Panderi
4,*
1
Laboratory of Pathological Anatomy, Department of Clinical and Laboratory Medicine, School of Medicine, National and Kapodistrian University of Athens, 75, Mikras Asias Avenue, Goudi, 11527 Athens, Greece
2
Veterinary Services, Ministry of Agriculture, Rural Development and Environment, 1417 Nicosia, Cyprus
3
Archbishop Makarios III Hospital, 2012 Nicosia, Cyprus
4
Laboratory of Pharmaceutical Analysis, Panepistimiopolis, Division of Pharmaceutical Chemistry, Department of Pharmacy, National and Kapodistrian University of Athens, Zografou, 15771 Athens, Greece
*
Authors to whom correspondence should be addressed.
Foods 2020, 9(10), 1479; https://doi.org/10.3390/foods9101479
Submission received: 1 September 2020 / Revised: 10 October 2020 / Accepted: 13 October 2020 / Published: 16 October 2020

Abstract

:
In recent years, huge amounts of antibiotics have been administered to farm animals, and as a result, residues of these antibiotics can accumulate in livestock products and, once consumed, may be transmitted to humans. Farm animals’ antibiotic treatment may therefore present a risk for consumers health, especially for children and adolescents. In children, the immune system is not fully developed, and thus, they are more susceptible than adults to resistant bacteria. A dietary exposure assessment was conducted on veterinary antibiotics found in raw pork meat among children and adolescents in Cyprus, since pork is the most consumed red meat in Cypriot population. The study was based on the results of the occurrence of 45 residual antibiotics in raw pork meat samples in Cyprus between 2012 and 2017 in combination with data on the consumption of pork meat on children and adolescents taken from the latest demographic report in Cyprus. Estimated daily intake (EDI) values of veterinary antibiotics for children aged 6–9 years old, were higher compared to EDI values for adolescents aged 10–17 years old. The percentage ratio of the estimated daily intake to the acceptable daily intake for all the veterinary antibiotic residues was less than 5.6. The results indicate that antibiotic residues in pork meat of inland production are below the acceptable daily intake and are of low risk to human health related to the exposure of antibiotics. Nevertheless, continuous exposure to low levels of antibiotic residues in respect to age vulnerability should be of a great concern.

Graphical Abstract

1. Introduction

The modern fight against bacterial infections dates back to the antibiotic era in the middle 1900s and to the discovery of the first antibiotics [1]. Since then, antibiotics have constantly been used not only for the treatment of various infections in humans but also in food production [2]. Huge amounts of antibiotics are constantly used as growth promoters or for prophylaxis and the treatment of infections among farm animals [3]. As a result, residues of these antibiotics can accumulate in livestock products and, once consumed, may then be transmitted to humans [4,5]. Exposure in low antibiotics concentrations may cause several adverse effects to human health, including toxicity, hypersensitivity, neurological disorders, gastrointestinal disturbances, and multidrug resistance and may also increase the prevalence of antibiotic resistance genes [6]. Antimicrobial resistance is a complicated phenomenon involving many interconnected factors between humans, animals, and environmental sources [7]. Multidrug-resistant bacteria are currently considered as an emerging global disease and a serious health concern [8]. In fact, antimicrobial resistance has reached alarming levels worldwide, and as a result, many of the treatments for common infections tend to be ineffective [9]. However, there is an insufficient understanding about whether or how human exposure to low concentrations of veterinary antibiotics in food affects the intestinal microflora. In children, the exposure to antibiotics is related to the development of bacterial resistance, childhood obesity and diabetes mellitus along with disturbances of glucose homeostasis [10,11,12,13,14]. The pharmacokinetics and pharmacodynamics of various drugs in children may differ significantly in relation to adults [15,16]. Certain antibiotics such as sulfonamides, chloramphenicol, and tetracyclines due to the known toxicity should not be used in neonates [17].
Effective national food control systems are crucial for the protection of the health and safety of consumers. Currently, the use of antibiotics in farm animals has been regulated worldwide, and maximum residue limits (MRLs) have been established for veterinary antibiotics in foodstuffs of animal origin [18,19,20,21]. Despite the extensive use of antibiotics in animals, reliable data about the pattern of use and the quantity of these compounds are not always available [22]. That is why it is important to monitor the concentration levels of antibiotic residues in animals and in food products of animal origin [23,24,25,26,27,28,29,30,31]. Studies on the quantitative risk assessment of foods provide important frameworks to address some of the issues related to the risk to human health from the intake of various residues via food [32,33,34,35,36]. Recently, a study on the residue concentrations and exposure levels of ethoxyquin and ethoxyquin dimer in farmed aquatic animals in Korea has been published [37]. A dietary exposure assessment study is the first step of a risk assessment procedure.
The MRL values for veterinary antibiotics in porcine tissue and pork meat as established under the European Regulation [18] and the Codex Alimentarius [19,20] must be controlled by the national veterinary authorities. Nevertheless, antibiotic residues in pork meat at concentrations above the established MRLs are still reported [38]. Pork is the most consumed red meat in Cyprus, but pig antibiotic treatment may present a risk for consumer health, especially for children and adolescents. In children the immune system is not fully developed, and thus, they are more susceptible than adults to resistant bacteria [11,39]. The risk of consuming pork meat, especially among children and adolescents, is of concern due to lack of data for the long-term bioaccumulation of these compounds. The bioaccumulation of antibiotics in humans may cause hypersensitivity reactions, gastrointestinal disorders, liver damages, mutagenicity, carcinogenicity, and reproductive toxicity [40,41]. Several studies revealed that children are widely exposed to antibiotics from dietary intake at low dosage levels [42,43,44]. In addition, studies in mice revealed that exposure in low concentrations of residual antibiotics during developmental periods affects the metabolism, gut microbiota, and adipogenesis, which can lead to obesity and diabetes [45,46].
In light of the above, we thought that it would be of interest to conduct a dietary exposure assessment that could be used as the preliminary step of a risk assessment procedure over the consumption of pork meat among children and adolescents in the Cypriot population. When including a dietary exposure assessment, the risk assessment provides the scientific basis for the establishment of appropriate regulations and guidelines on the use of veterinary antibiotics in food producing animals. This will ensure that safety requirements will be protective for the consumers and appropriate for use in national and international scale. To this purpose, the results of the occurrence of 45 residual antibiotics in pork meat samples between 2012 and 2017, presented in our previous work by Kyriakides et al. [47], were combined with food consumption data of raw pork meat among children and adolescents in Cyprus. This study aims to clarify that a systematic exposure of antibiotics in low concentrations in early life may have negative impact in human health. At the same time, a comparison analysis is being developed in comparison with adults, since children have higher exposure levels per kg of body weight and thus are more susceptible to various residues. Based on the above the presented dietary exposure assessment to antibiotics for young population between 6 and 17 years of age is important and could help in the design of safety measures for the protection of the young population. This research proved that the antibiotic residues in pork meat of inland production are below the maximum established acceptable daily intake (ADI) and compose low direct risk to human health. Nevertheless, continuous exposure to low levels of antibiotics in respect to age vulnerability should be of a great concern, and further studies are needed.

2. Materials and Methods

2.1. Pork Meat (Muscle Tissue) Sample Collection

For six continuously years (2012–2017), among all districts of the Republic of Cyprus, 15,484 pork meat samples were collected from authorized slaughterhouses. The raw pork meat samples were collected from authorized slaughterhouses situated among the five districts of the Republic of Cyprus: Famagusta, Limassol, Nicosia, Larnaka, and Paphos. These samples were carried in polypropylene bags placed in icebox and stored at −18 °C before analysis.

2.2. Chemicals and Reagents

All solvents were of High-Performance Liquid Chromatography (HPLC) grade and purchased from E. Merck (Darmstadt, Germany). Reference standards of the veterinary antimicrobials and deuterated internal standards were of pharmaceutical purity grade and purchased from Sigma-Aldrich (St. Louis, MO, USA).

2.3. Microbial Screening Method for the Detection of Antibiotic Residues in Slaughter Animals

A microbial inhibitions assay, Premi®Test purchased from R-Biopharm AG (Darmstadt, Germany) was used to screen collected meat samples, since it detects a broad spectrum of the most used veterinary antibiotics in animal husbandry [48]. The Premi®Test is based on the inhibition of the growth of Bacillus stearothermophilus in the presence of antibiotic residues.

2.4. Liquid Chromatographic-Tandem Mass Spectrometric Analysis

Pork tissue samples were analyzed by a specific liquid chromatography tandem spectrometry method that was validated to detect and quantitate 45 commonly used veterinary antibiotics as described by Kyriakides et al. [47]. The confirmatory LC-MS/MS method was conducted on a Waters Alliance 2695/Quattro PremierTM XE mass spectrometer. The sample preparation involved homogenization, addition of a mixed solution of deuterated internal standards, and extraction with 5% trichloroacetic acid in water for aminoglycosides, fluoroquinolones, quinolones, and tetracyclines or extraction with 0.2 M ammonium acetate solution in acetonitrile for β-lactam’s, sulfonamides, macrolides, dehydroreductase inhibitor, and pleuromutilin. Chromatographic separation of tetracyclines, quinolones and aminoglycosides was carried out using a Luna C18 HST analytical column (100 × 20 mm, 2.5 μm particle size), while for the analysis of sulfonamides, β-lactams, macrolides, trimethoprim, and tiamulin, a Symmetry C18 Waters analytical column (150 × 2.1 mm, 3.5 μm particle size) was used. Data acquisition and analysis were performed using MassLynx™ Waters Software, Waters Corporation (Milford, MA, USA) and the OpenLynx™ Waters software Waters Corporation (Milford, MA, USA) was used for the screening, identification, and quantitation of the positive results. Data on the MRL values of these veterinary antibiotics including six aminoglycosides, three cephalosporins, seven fluoroquinolones, one quinolone, one lincosamide, three macrolides, five penicillin’s, two β-lactam’s, 11 sulphonamides, one dehydroreductase (DHR) inhibitor, and four tetracyclines, are presented in Table 1.

3. Results and Discussion

3.1. Screening and Confirmatory Results

A microbial screening method was used for the determination of antibiotic residues in 15,484 raw pork meat samples. A total of 1766 samples suspected positive samples were analyzed by means of a tandem LC-MS/MS confirmatory method which was presented in detail in our previously published work [47]. From this research, 13 veterinary antibiotic residues including one aminoglycoside, one fluoroquinolone, one lincosamide, one macrolide, one β-lactam, three sulfonamides, one dehydroreductase inhibitor, and four tetracyclines were detected in 596 positive samples. In 74.6% of the positive samples (445 samples), all the 45 tested antibiotic residues were below MRLs. In 25.3% of the positive samples (151 samples), nine antibiotics were detected at concentration levels above the MRLs.

3.2. Daily Consumption of Raw Pork Meat for Children and Adolescent

The total Daily Consumption (DCT) of raw pork meat per person per family, was computed according to the following equation:
DC T = ( ( ( annual   family   expenses   for   pork   meat ) / ( retail   selling   price   ) ) × 1000 365 average   number   ofpersons   per   family )
The annual family expenses for pork meat was estimated based on the statistical data of a survey conducted in 2017 by the Statistical Service of Cyprus [49]. Based on this data, the retail selling price for pork meat was €4.8/kg, and the average number of persons per family was 2.73 ± 0.04. Based on the above, the total daily consumption (DCT) of raw pork meat per person per family was estimated at 58.13 g of pork meat per person per day.

3.3. Dietary Exposure Assessment of Veterinary Antibiotics in Children and Adolescents

The current dietary exposure assessment was based on the results about the occurrence of 45 residual antibiotics in pork meat samples in Cyprus between 2012 and 2017 [47]. The lower-bound (LB) approach was used for the left censored data of the microbial screening method and the results below the limit of detection (LOD) were replaced by zero [50]. All the pork meat samples with antibiotics at concentrations above the established maximum residue limits (MRLs) were excluded from the exposure assessment since this pork meat is banned from the Cyprus market. In particular, the Veterinary Services of the Ministry of Agriculture, Rural Development, and Environment in Cyprus have the legal power to take appropriate measures in cases of detected residues violations, restriction or prohibition of the placing on the market; monitoring, recall, withdrawal, and/or destruction. A national program for testing of slaughtered pigs under which every animal is tested for the presence of antimicrobial residues. Animals are detained pending a result, if non-compliant, the animals are destroyed and in no case possible does the products reach the Cyprus market. Amoxycillin was therefore excluded from this study since it was detected during 2015 at a concentration range of 73.7–547 μg kg−1 and during 2016 at a concentration of 121 μg kg−1, which are above the established MRL limit in porcine muscle of 50 μg kg−1. All the analytes that were detected only once in a raw pork meat sample were also excluded. Therefore, dihydrostreptomycin and flumequine were detected only once during 2012 and 2013, respectively and they were excluded from this dietary exposure assessment. Sulfamethoxazole was detected during 2012 at a concentration range of 33.2–536 μg kg−1, during 2014 at a concentration range of 1.45–69.8 μg kg−1, and during 2015 at a concentration range of 1.45–51.8 μg kg−1. However, the acceptable daily intake (ADI) for sulfamethoxazole is not defined, and the EDI to ADI ratio was not calculated for this compound.
The estimated daily intake (EDI) of the veterinary antibiotic residues expressed in μg/kg bw/day was calculated based on the following equation:
EDI =   DC T   × 10 3 × C Average   body   weight   per   age   and   gender   group
where DCT is the daily consumption of pork meat in g per person per day, C is the geometric mean of the concentrations of antibiotics in pork meat expressed in μg/kg, and the average body weight is expressed in kg. The EDI values were estimated for three age groups in both genders, the first ranged between 6 and 9 years old, the second between 10 and 13 years old, and the last between 14 and 17 years old; additional information on the percentage EDI to ADI ratio for adults 18+ years was also included in this study. Average body weight data on different age/gender groups in Cyprus have been used for this exposure assessment [51]. The average body weight for children aged 6 to 9 years old is 28.5 kg and 27.6 kg for males and females, respectively. The average body weight for adolescents aged 10 to 13 years old is 45.5 kg and 44.5 kg for males and females, respectively, and for adolescents aged 14 to 17 years old is 65.6 kg and 54.5 kg for males and females, respectively. The average weight of adults 18+ in Cyprus is 80.9 kg and 64.6 kg for males and females, respectively.
The geometric mean of the concentrations of antibiotics was calculated for six consecutive years, and the estimated daily intake values in μg/kg bw/day of antibiotic residues in the male and female young population in Cyprus between 2012 and 2017 are presented in Table 2 and Table 3, respectively.
For the dietary exposure assessment, the maximum geometric mean concentration of each residue was used to calculate the representative EDI values presented in Table 4 and Table 5 for males and females, respectively, as a more representative worst-case scenario.
For both males and females in all age groups, the highest EDI values were observed in 2013 for lincomycin, which ranged from 0.13 μg/kg bw/day to 0.30 μg/kg bw/day and 0.16 μg/kg bw/day to 0.32 μg/kg bw/day, respectively. Chlortetracycline, and doxycycline exhibited the second and third higher EDI values, respectively. The EDI value for chlortetracycline ranged from 0.08 μg/kg bw/day to 0.17 μg/kg bw/day in males and 0.09 μg/kg bw/day to 0.18 μg/kg bw/day in females. For doxycycline, the EDI value ranged from 0.07 μg/kg bw/day to 0.16 μg/kg bw/day in males and 0.09 μg/kg bw/day to 0.17 μg/kg bw/day in females. The EDI values for all the antibiotic residues were lower in males than in females and were ranged from 0.01 μg/kg bw/day to 0.30 μg/kg bw/day for males and 0.01 μg/kg bw/day to 0.32 μg/kg bw/day for females. EDI values were higher in children aged 6 to 9 years old than in adolescents of both groups, and these results agree with previous studies [52,53].
The EDI values and the acceptable daily intake (ADI) values of the antibiotic residues were used to calculate the percentage EDI to ADI ratio according to the Equation (3). Each ADI value is the maximum amount of a substance that a person can consume daily throughout his/her life without posing this any risk. An EDI to ADI ratio of less than unit means that the estimated daily intake of antibiotics is lower than the acceptable daily intake, i.e., no risk.
%   EDI   to   ADI   ratio = EDI   ADI     × 100
The results of the % EDI to ADI ratio are presented in Table 4 and Table 5 for male and female children, respectively. Based on the analytical data of our previous work on the detection of antibiotic residues in porcine meat samples [47], we have also calculated the percentage EDI to ADI ratio for adult men and women. The plots of the % EDI to ADI ratio versus the antibiotics for all groups including adults are presented in Figure 1 and Figure 2.
As it can be observed in Figure 1 and Figure 2, for both male and female adolescents in all age groups, the % EDI to ADI ratio was less than 5.6 indicating that the consumption of pork meat in Cyprus does not pose any health risk to children and adolescents. For doxycycline, a low ADI value of 3 μg/kg bw is established, and the detection frequency of this substance was 34.8% during 2017, where a maximum geometric mean concentration of 80.5 μg kg−1 was observed. The % EDI to ADI ratio for doxycycline is higher in relation to the rest of antimicrobials; however, it is still within the acceptance limits.

4. Conclusions

In this work, a dietary exposure assessment was conducted on veterinary antibiotic residues found in raw pork meat among children and adolescents in Cyprus. The protocol of the study was based on a microbial screening method, followed by a LC-MS/MS confirmatory method [47]. The chemical analysis data were further used in a dietary exposure assessment model that was developed to estimate the daily intake of antibiotic residues through pork consumption in Cyprus for children and adolescents of both sexes. The results of this dietary exposure assessment indicate that, for all the substances, the percentage EDI to ADI ratio was less than 5.6, indicating no risk to human health. For doxycycline, the EDI to ADI ratio was higher than unit in most of the age groups. In general, the results suggest that pork meat does not present a potential health risk for children and adolescents aged 6–17 years old in Cyprus. However, the young consumers were more exposed to higher concentrations of antibiotic residues than adults. Children have higher body surface to body weight ratio and higher intake of calories and water compared to adults. Due to these differences in physiology compared to adults, children have higher exposure levels per kg bw, and they are more susceptible to various residues. Therefore, systematic exposure of antibiotics even in low concentrations, especially in early life, may have a negative impact in human health. That is why further investigation is strongly encouraged to protect human health, especially during developmental periods.

Author Contributions

D.K., A.C.L., N.K. and I.P. participated in designing the study. D.K., K.A., M.E. and O.K. conducted the study. Data was collected and analyzed by D.K., I.P., N.K. and A.C.L. The manuscript was written by D.K. and I.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Acknowledgments

The authors would like to thank the Laboratory of Control of Food of Animal Origin (LCFAO), Veterinary Services, Ministry of Agriculture, Rural Development and Environment in Cyprus and the Veterinary Drug Residues Laboratory (VDRL), of the State General Laboratory, Ministry of Health of Cyprus. In memory of Professor George B. Foscolos, Department of Pharmacy, National and Kapodistrian University of Athens, Greece.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Aminov, R.I. A brief history of the antibiotic era: Lessons learned and challenges for the future. Front. Microbiol. 2010, 1, 134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Kirchhelle, C. Pharming animals: A global history of antibiotics in food production (1935–2017). Palgrave Commun. 2018, 4, 96. [Google Scholar] [CrossRef] [Green Version]
  3. Martin, M.J.; Thottathil, S.E.; Newman, T.B. Antibiotics overuse in animal agriculture: A call to action for health care providers. Am. J. Public Health 2015, 105, 2409–2410. [Google Scholar] [CrossRef] [PubMed]
  4. Agersø, Y.; Aarestrup, F.M.; Pedersen, K.; Seyfarth, A.M.; Struve, T.; Hasman, H. Prevalence of extended-spectrum cephalosporinase (ESC)-producing Escherichia coli in Danish slaughter pigs and retail meat identified by selective enrichment and association with cephalosporin usage. J. Antimicrob. Chemother. 2012, 67, 582–588. [Google Scholar] [CrossRef] [Green Version]
  5. Wang, G.; Wang, B.; Zhao, X.; Xie, X.; Xie, K.; Wang, X.; Zhang, G.; Zhang, T.; Liu, X.; Dai, G. Determination of thiamphenicol, florfenicol and florfenicol amine residues in poultry meat and pork via ASE-UPLC-FLD. J. Food Compos. Anal. 2019, 81, 19–27. [Google Scholar] [CrossRef]
  6. Wright, G.D. The antibiotic resistome: The nexus of chemical and genetic diversity. Nat. Rev. Microbiol. 2007, 5, 175–186. [Google Scholar] [CrossRef]
  7. Anders, J.; Bisha, B. High-throughput detection and characterization of antimicrobial resistant Enterococcus sp. Isolates from GI Tracts of European starlings visiting concentrated animal feeding operations. Foods 2020, 9, 890. [Google Scholar] [CrossRef]
  8. Medernach, L.R.; Logan, K.L. The growing threat of antibiotic resistance in children. Infect. Dis. Clin. N. Am. 2018, 32, 1–17. [Google Scholar] [CrossRef]
  9. Shreiner, A.B.; Kao, J.Y.; Young, V.B. The gut microbiome in health and in disease. Curr. Opin. Gastroenterol. 2015, 31, 69–75. [Google Scholar] [CrossRef]
  10. Ormerod, A.D.; Reid, T.M.; Main, R.A. Penicillin in milk—Its importance in urticaria. Clin. Exp. Allergy 1987, 17, 229–234. [Google Scholar] [CrossRef]
  11. Ajslev, T.A.; Andersen, C.S.; Gamborg, M.; Sorensen, T.I.A.; Jess, T. Childhood overweight after establishment of the gut microbiota: The role of delivery mode, pre pregnancy weight and early administration of antibiotics. Int. J. Obes. 2011, 35, 522–529. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Chou, H.-W.; Wang, J.-L.; Chang, C.-H.; Lee, J.-J.; Shau, W.-Y.; Lai, M.-S. Risk of severe dysglycemia among diabetic patients receiving levofloxacin, ciprofloxacin, or moxifloxacin in Taiwan. Clin. Infect. Dis. 2013, 57, 971–980. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Bailey, L.; Forrest, C.B.; Zhang, P.; Richards, T.M.; Livshits, A.; DeRusso, P.A. Association of antibiotics in infancy with early childhood obesity. JAMA Pediatr. 2014, 168, 1063–1069. [Google Scholar] [CrossRef] [Green Version]
  14. Bacanlı, M.; Basaran, N. Importance of antibiotic residues in animal food. Food Chem. Toxicol. 2019, 125, 462–466. [Google Scholar] [CrossRef]
  15. Fernandez, E.; Perez, R.; Hernandez, A.; Tejada, P.; Arteta, M.; Ramos, J.T. Factors and mechanisms for pharmacokinetic differences between pediatric population and adults. Pharmaceutics 2011, 3, 53–72. [Google Scholar] [CrossRef] [Green Version]
  16. Dong, J.; Zhang, S.; Xia, L.; Yu, Y.; Hu, S.; Sun, J.; Zhou, P.; Chen, P. Physical activity. A critical exposure factor of environmental pollution in children and adolescents health risk assessment. Int. J. Environ. Res. Public Health 2018, 15, 176. [Google Scholar] [CrossRef] [Green Version]
  17. Kim, D.S.; Park, M.S. Antibiotic use at a pediatric age. Yonsei Med. J. 1998, 39, 595–603. [Google Scholar] [CrossRef]
  18. European Union; Regulations Commission. Pharmacologically active substances and their classification regarding maximum residue limits in foodstuffs of animal origin. REGULATION (EU) No 37/2010, 22 December 2009. Off. J. Eur. Union 2010, L15, 1–2. Available online: https://ec.europa.eu/health/sites/health/files/files/eudralex/vol5/reg_2010_37/reg_2010_37_en.pdf (accessed on 1 March 2020).
  19. FAO/WHO. Maximum Residue Limits (MRLs) and Risk Management Recommendations (RMRs) for Residues of Veterinary Drugs in Foods CAC/MRL (2-2015); Codex Alimentarius, International Food Standards: Rome, Italy, 2015. [Google Scholar]
  20. FAO/WHO. Maximum Residue Limits (MRLs) and Risk Management Recommendations (RMRs) for Residues of Veterinary Drugs in Foods CX/MRL (2-2018); Codex Alimentarius, International Food Standards: Rome, Italy, 2018. [Google Scholar]
  21. Tang, K.L.; Caffrey, N.P.; Nóbrega, D.P.; Cork, S.C.; Ronksley, P.E.; Barkema, H.W.; Polachek, A.J.; Ganshorn, H.; Sharma, N.; Kellner, J.D.; et al. Restricting the use of antibiotics in food-producing animals and its associations with antibiotic resistance in food-producing animals and human beings: A systematic review and meta-analysis. Lancet Planet. Health 2017, 1, e316–e327. [Google Scholar] [CrossRef]
  22. Landers, T.F.; Cohen, B.; Wittum, T.E.; Larson, E.L. A review of antibiotic use in food animals: Perspective, policy, and potential. Public Health Rep. 2012, 127, 4–22. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Long, A.R.; Hsieh, L.C.; Malbrough, M.S.; Short, C.R.; Barker, S.A. Multiresidue method for the determination of sulfonamides in pork tissue. J. Agric. Food Chem. 1990, 38, 423–426. [Google Scholar] [CrossRef]
  24. Panderi, I.; Gerakis, A.; Zonaras, V.; Athanasiou, L.; Kazanis, M. Development and validation of a liquid chromatography–electrospray ionization mass spectrometric method for the determination of dexamethasone in sheep plasma. Anal. Chim. Acta 2004, 504, 299–306. [Google Scholar] [CrossRef]
  25. Sanz, D.; Razquin, P.; Condón, S.; Juan, T.; Herraiz, B.; Mata, L. Incidence of antimicrobial residues in meat using a broad-spectrum screening strategy. Eur. J. Nutr. Food Saf. 2015, 5, 156–165. [Google Scholar] [CrossRef] [Green Version]
  26. Guardon, M.; Miranda, J.M.; Vázquez, B.I.; Cepeda, A.; Franco, C.M. Assessment of tetracyclines residues and tetracycline resistant bacteria in conventional and organic baby foods. Foods 2015, 4, 306–317. [Google Scholar] [CrossRef] [Green Version]
  27. Dasenaki, M.E.; Thomaidis, N.S. Multi-residue determination of 115 veterinary drugs and pharmaceutical residues in milk powder, butter, fish tissue and eggs using liquid chromatography-tandem mass spectrometry. Anal. Chim. Acta 2015, 880, 103–121. [Google Scholar] [CrossRef] [PubMed]
  28. Bitas, D.; Samanidou, V. Molecularly imprinted polymers as extracting media for the chromatographic determination of antibiotics in milk. Molecules 2018, 23, 316. [Google Scholar] [CrossRef] [Green Version]
  29. Bitas, D.; Kabir, A.; Locatelli, M.; Samanidou, V. Food sample preparation for the determination of sulfonamides by high-performance liquid chromatography: State-of-the-art. Separations 2018, 5, 31. [Google Scholar] [CrossRef] [Green Version]
  30. Puvača, N.; Lika, E.; Tufarelli, V.; Bursić, V.; Pelić, D.L.; Nikolova, N.; Petrović, A.; Prodanović, R.; Vuković, G.; Lević, J.; et al. Influence of different tetracycline antimicrobial therapy of mycoplasma (Mycoplasma synoviae) in laying hens compared to tea tree essential oil on table egg quality and antibiotic residues. Foods 2020, 9, 612. [Google Scholar] [CrossRef]
  31. Magalhães, D.; Freitas, A.; Sofia, A.; Pouca, V.; Barbosa, J.; Ramos, F. The use of ultra-high-pressure-liquid chromatography tandem time-of-flight mass spectrometry as a confirmatory method in drug residue analysis: Application to the determination of antibiotics in piglet liver. J. Chromatogr. B 2020, 115, 122264. [Google Scholar] [CrossRef]
  32. FAO/WHO. Principles and Methods for the Risk Assessment of Chemicals in Food. Chapter 6: Dietary Exposure Assessment of Chemicals in Food; FAO/WHO: Rome, Italy, 2009; Available online: https://www.who.int/publications-detail/principles-and-methods-for-the-risk-assessment-of-chemicals-in-food (accessed on 15 December 2009).
  33. Liu, S.; Zhao, G.; Zhao, H.; Zhai, G.; Chen, J.; Zhao, H. Antibiotics in a general population: Relations with gender, body mass index (BMI) and age and their human health risks. Sci. Total. Environ. 2017, 599, 298–304. [Google Scholar] [CrossRef] [PubMed]
  34. Sinanoglou, V.J.; Cavouras, D.; Xenogiannopoulos, D.; Proestos, C.; Zoumpoulakis, P. Quality assessment of pork and turkey hams using FT-IR spectroscopy, colorimetric, and image analysis. Foods 2018, 7, 152. [Google Scholar] [CrossRef] [Green Version]
  35. Kabrite, S.; Bou-Mitri, C.; Fares, J.E.H.; Hassan, H.F.; Boumosleh, J.M. Identification and dietary exposure assessment of tetracycline and penicillin residues in fluid milk, yogurt, and labneh: A cross-sectional study in Lebanon. Veter. World 2019, 12, 527–534. [Google Scholar] [CrossRef] [Green Version]
  36. Triki, M.; Herrero, A.M.; Jiménez-Colmenero, F.; Ruiz-Capillas, C. Quality assessment of fresh meat from several species based on free amino acid and biogenic amine contents during chilled storage. Foods 2018, 7, 132. [Google Scholar] [CrossRef]
  37. Choi, S.Y.; Kwon, N.J.; Kang, H.S.; Kim, J.; Cho, B.H.; Oh, J.H. Residues determination and dietary exposure to ethoxyquin and ethoxyquin dimer in farmed aquatic animals in South Korea. Food Control 2020, 111, 107067. [Google Scholar] [CrossRef]
  38. Ramatla, T.; Ngoma, L.; Adetunji, M.; Mwanza, M. Evaluation of Antibiotic Residues in Raw Meat Using Different Analytical Methods. Antibiotics 2017, 6, 34. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  39. Schug, T.T.; Janesick, A.; Blumberg, B.; Heindel, J.J. Endocrine disrupting chemicals and disease susceptibility. J. Steroid Biochem. Mol. Biol. 2011, 127, 204–215. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Gaugain-Juhel, M.; Delepine, B.; Gautier, S.; Fourmond, M.P.; Gaudin, V.; Hurtaud-Kohanski, M.A.; DePristo, M.A.; Collins, J.J. Sublethal antibiotic treatment leads to multidrug resistance via radical-induced mutagenesis. Mol. Cell 2010, 37, 311–320. [Google Scholar] [CrossRef] [Green Version]
  41. Baynes, R.E.; Dedonder, K.; Kissell, L.; Mzyk, D.; Marmulak, T.; Smith, G.; Tell, L.; Gehring, R.; Davis, J.; Riviere, J.E. Health concerns and management of select veterinary drug residues. Food Chem. Toxicol. 2016, 88, 112–122. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  42. Li, N.; Ho, W.K.; Ying, G.G.; Deng, W.J. Veterinary antibiotics in food, drinking water, and the urine of preschool children in Hong Kong. Environ. Int. 2017, 108, 246–252. [Google Scholar] [CrossRef]
  43. Ji, K.; Kho, Y.; Park, Y.; Choi, K. Influence of a five-day vegetarian diet on urinary levels of antibiotics and phthalate metabolites: A pilot study with “Temple Stay” participants. Environ. Res. 2010, 110, 375–382. [Google Scholar] [CrossRef]
  44. Ji, K.; Kho, Y.; Park, C.; Paek, D.; Ryu, P.; Paek, D.; Kim, M.; Kim, P.; Choi, K. Influence of water and food consumption on inadvertent antibiotics intake among general population. Environ. Res. 2010, 110, 641–649. [Google Scholar] [CrossRef] [PubMed]
  45. Cox, L.M.; Blaser, M.J. Antibiotics in early life and obesity. Nat. Rev. Endocrinol. 2014, 11, 182–190. [Google Scholar] [CrossRef] [PubMed]
  46. Cox, L.M.; Yamanishi, S.; Sohn, J.; Alekseyenko, A.V.; Leung, J.M.; Cho, I.; Kim, S.G.; Li, H.; Gao, Z.; Mahana, D.; et al. Altering the intestinal microbiota during a critical developmental window has lasting metabolic consequences. Cell 2014, 158, 705–721. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Kyriakides, D.; Panderi, I.; Hadjigeorgiou, M.; Christou, K.; Maou, M.; Kavantzas, N.; Lazaris, A. Veterinary antimicrobial residues in pork meat in Cyprus: An exposure assessment. J. Food Compos. Anal. 2020, 90, 103512. [Google Scholar] [CrossRef]
  48. Pikkemaat, G.M. Microbial screening methods for detection of antibiotic residues in slaughter animals. Anal. Bioanal. Chem. 2009, 395, 893–905. [Google Scholar] [CrossRef] [Green Version]
  49. CYSTAT. Population Statistics, Series II, Demographic Report No 53, pp 58, Table 28. Republic of Cyprus, Statistical Service. Available online: http://www.cystat.gov.cy/mof/cystat/statistics.nsf/All/C106FD0599F64191C22583550034275E/$file/DEMOGRAPHIC_REPORT-2016-271117.pdf?OpenElement (accessed on 1 March 2020).
  50. EFSA. Management of left-censored data in dietary exposure assessment of chemical substances. EFSA J. 2010, 8, 1–92. [Google Scholar]
  51. Savva, C.S.; Kourides, A.Y.; Hadjigeorgiou, C.; Tornaritis, J.M. Overweight and obesity prevalence and trends in children and adolescents in Cyprus 2000—2010. Obes. Res. Clin. Pract. 2014, 8, e426–e434. [Google Scholar] [CrossRef]
  52. Kroes, R.; Muller, D.; Lambe, J.; Lowik, M.; Van Klaveren, J.; Kleiner, J.; Massey, R.; Mayer, S.; Urieta, I.; Verger, P.; et al. Assessment of intake from the diet. Food Chem. Toxicol. 2002, 40, 327–385. [Google Scholar] [CrossRef]
  53. Magnér, J.; Wallberg, P.; Sandberg, J.; Cousins, A.P. Human Exposure to Pesticides from Food. A Pilot Study; On behalf of: Coop Sverige AB, Report number U 5080; IVL Swedish Environmental Research Institute: Stockholm, Sweden, 2015. [Google Scholar]
Figure 1. Percentage of estimated daily intake (EDI) to acceptable daily intake (ADI) ratio for six veterinary antibiotic residues found in pork meat for children, adolescents, and adults of the Cypriot population.
Figure 1. Percentage of estimated daily intake (EDI) to acceptable daily intake (ADI) ratio for six veterinary antibiotic residues found in pork meat for children, adolescents, and adults of the Cypriot population.
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Figure 2. Percentage of estimated daily intake (EDI) to acceptable daily intake (ADI) ratio for doxycycline, trimethoprim, and lincomycin residues found in pork meat for children, adolescents, and adults of the Cypriot population.
Figure 2. Percentage of estimated daily intake (EDI) to acceptable daily intake (ADI) ratio for doxycycline, trimethoprim, and lincomycin residues found in pork meat for children, adolescents, and adults of the Cypriot population.
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Table 1. Veterinary antibiotics and maximum residue limits (MRLs) in porcine muscle.
Table 1. Veterinary antibiotics and maximum residue limits (MRLs) in porcine muscle.
Antibiotic.Antibiotic ClassMRL (μg·kg−1)
DihydrostreptomycinAminoglycoside500
GentamycinAminoglycoside50
KanamycinAminoglycoside100
ParomomycinAminoglycoside500
SpectinomycinAminoglycoside300
StreptomycinAminoglycoside500
CefaloniumCephalosporinN.E. i
CephapirinCephalosporin50
CefoperazoneCephalosporinN.E. i
CiprofloxacinFluoroquinolone100
DanofloxacinFluoroquinolone200
EnrofloxacinFluoroquinolone100
FlumequineFluoroquinolone200
MarbofloxacinFluoroquinolone150
NorfloxacinFluoroquinoloneN.E. i
SarafloxacinFluoroquinolone10
Nalidixic acidQuinoloneN.E.i
LincomycinLincosamide100
ErythromycinMacrolide200
SpiramycinMacrolide200
TilmicosinMacrolideN.E. i
AmpicillinPenicillin50
CloxacillinPenicillin300
DicloxacillinPenicillin300
Penicillin-G (Benzylpenicilline)Penicillin50
Penicillin-V (Phenoxymethylpenicillin)Penicillin25
Nafcillinβ-lactamN.E. i
Oxacillinβ-lactam300
TiamulinPleuromutilin100
SulfadiazineSulphonamide100
SulfadimethoxineSulphonamide100
SulfadimidineSulphonamide100
SulfadoxineSulphonamide100
SulfamerazineSulphonamide100
SulfamethoxazoleSulphonamide100
SulfamethoxypyridazineSulphonamide100
SulfanilamideSulphonamide100
SulfaguanidineSulphonamide100
SulfaquinoxalineSulphonamide100
SulfathiazoleSulphonamide100
TrimethoprimDehydroreductase inhibitor50
ChlortetracyclineTetracyclines100
DoxycyclineTetracyclines100
OxytetracyclineTetracyclines100
TetracyclineTetracyclines100
i Antibiotic with not established MRL level.
Table 2. Estimated daily intake values in μg/kg body weight (bw)/day of antibiotics in male children and adolescents in Cyprus between 2012 and 2017.
Table 2. Estimated daily intake values in μg/kg body weight (bw)/day of antibiotics in male children and adolescents in Cyprus between 2012 and 2017.
201220132014
Antimicrobial Residue6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years
Sulfadiazine0.090.050.040.020.010.010.070.040.03
Sulfadimidine 0.040.020.020.020.020.010.020.010.01
Sulfamethoxazole 0.100.060.04<LOD i<LOD i<LOD i0.010.010.01
Trimethoprim 0.050.030.020.050.030.020.100.060.04
Lincomycin <LOD i<LODi<LOD i0.310.190.130.100.060.04
Chlortetracycline 0.170.110.080.100.060.040.1710.110.07
Doxycycline 0.080.050.040.090.050.04<LOD i<LOD i<LOD i
Oxytetracycline 0.110.070.050.050.030.020.130.080.06
Tetracycline <LOD i<LODi<LOD i<LOD i<LOD i<LOD i0.060.040.02
Tilmicosin0.020.010.01<LOD i<LOD i<LOD i<LOD i<LOD i<LOD i
201520162017
Antimicrobial Residue6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years
Sulfadiazine0.010.010.010.010.010.010.060.040.03
Sulfadimidine 0.030.020.010.060.040.03<LOD i<LOD i<LOD i
Sulfamethoxazole 0.010.010.01<LOD i<LODi<LOD i<LOD i<LOD i<LOD i
Trimethoprim 0.050.030.02<LOD i<LODi<LOD i0.040.030.02
Lincomycin 0.040.030.02<LOD i<LODi<LOD i0.250.160.11
Chlortetracycline 0.090.060.04<LOD i<LODi<LOD i<LOD i<LOD i<LOD i
Doxycycline <LOD i<LOD i<LOD i<LOD i<LODi<LOD i0.160.100.07
Oxytetracycline 0.070.040.03<LOD i<LODi<LOD i0.050.030.02
Tetracycline <LOD i<LOD i<LOD i<LOD i<LODi<LOD i<LOD i<LOD i<LOD i
Tilmicosin0.030.020.010.010.010.010.020.010.01
i LOD: limit of detection.
Table 3. Estimated daily intake values in μg/kg bw/day of antibiotics in female young population in Cyprus between 2012 and 2017.
Table 3. Estimated daily intake values in μg/kg bw/day of antibiotics in female young population in Cyprus between 2012 and 2017.
201220132014
Antimicrobial Residue6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years
Sulfadiazine0.090.060.040.020.020.010.070.040.04
Sulfadimidine 0.040.020.020.020.020.010.020.010.01
Sulfamethoxazole 0.110.070.05<LOD i<LOD i<LOD i0.010.010.01
Trimethoprim 0.050.030.030.050.030.020.110.070.05
Lincomycin <LOD i<LOD i<LOD i0.320.190.160.100.060.05
Chlortetracycline 0.180.110.090.100.060.050.180.110.09
Doxycycline 0.080.050.040.090.060.04<LOD i<LOD i<LOD i
Oxytetracycline 0.110.070.060.050.030.030.140.080.07
Tetracycline <LOD i<LOD i<LOD i<LOD i<LOD i<LOD i0.060.040.03
Tilmicosin 0.020.010.01<LOD i<LOD i<LOD i<LOD i<LOD i<LOD i
201520162017
Antimicrobial Residue6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 Years
Sulfadiazine0.010.010.010.010.010.010.070.040.03
Sulfadimidine 0.030.020.020.060.040.03<LOD i<LOD i<LOD i
Sulfamethoxazole 0.010.010.01<LOD i<LOD i<LOD i<LOD i<LOD i<LOD i
Trimethoprim 0.050.030.02<LOD i<LOD i<LOD i0.040.030.02
Lincomycin 0.040.030.02<LOD i<LOD i<LOD i0.260.160.13
Chlortetracycline 0.090.060.04<LOD i<LOD i<LOD i<LOD i<LOD i<LOD i
Doxycycline <LOD i<LOD i<LOD i<LOD i<LOD i<LOD i0.170.110.09
Oxytetracycline 0.070.040.04<LOD i<LOD i<LOD i0.050.030.02
Tetracycline <LOD i<LOD i<LOD i<LOD i<LOD i<LOD i<LOD i<LOD i<LOD i
Tilmicosin 0.030.020.010.010.010.010.020.010.01
i LOD: limit of detection.
Table 4. Estimated daily intake values (EDI) and percentage of EDI to acceptable daily intake (ADI) ratio for male children and adolescents using the maximum geometric mean concentration.
Table 4. Estimated daily intake values (EDI) and percentage of EDI to acceptable daily intake (ADI) ratio for male children and adolescents using the maximum geometric mean concentration.
EDI (μg/kg bw/day)%EDI to ADI Ratio iii
Antimicrobial/ADI (μg/kg bw)Year iC ii (μg/kg)6–9 Years10–13 Years14–17 Years6–9 Years10–13 Years14–17 YearsAdults 18+
Sulfadiazine/0–20201242.20.090.050.040.430.270.190.15
Sulfadimidine/0–50201628.40.060.040.020.120.070.050.04
Sulfamethoxazole iv201250.30.100.060.05----
Trimethoprim/12.5201450.90.100.060.050.830.520.360.29
Lincomycin/0–302013149.40.310.190.131.020.640.440.36
Chlortetracycline/0–30201284.60.170.110.080.580.360.250.20
Doxycycline/0–3201780.50.160.100.075.473.432.381.93
Oxytetracycline/0–30201464.50.130.080.060.440.270.190.15
Tetracycline/0–30201428.40.060.040.020.190.120.080.07
Tilmicosin/0–40201513.20.030.020.010.070.040.030.02
i Year of the maximum concentration for the antimicrobials; ii Geometric mean of the concentrations of antimicrobials; iii % EDI to ADI ratio of less than 100% means that the estimated intake is lower than the acceptable intake; iv For Sulfamethoxazole ADI value is not defined.
Table 5. Estimated daily intake values (EDI) and percentage of EDI to acceptable daily intake (ADI) ratio for female children and adolescents using the maximum geometric mean concentration.
Table 5. Estimated daily intake values (EDI) and percentage of EDI to acceptable daily intake (ADI) ratio for female children and adolescents using the maximum geometric mean concentration.
EDI (μg/ kg bw/ day)%EDI to ADI Ratio iii
Antimicrobial/ADI (μg/kg bw)Year iC ii (μg/kg)6–9 Year10–13 Year14–17 Year6–9 Year10–13 Year14–17 YearAdults 18+
Sulfadiazine/0–20201242.20.090.060.040.440.280.230.19
Sulfadimidine/0–50201628.40.060.040.030.120.070.060.05
Sulfamethoxazole iv201250.30.110.070.05----
Trimethoprim/12.5201450.90.110.070.050.860.530.430.37
Lincomycin/0–302013149.40.320.190.161.050.650.530.45
Chlortetracycline/0–30201284.60.180.110.090.590.370.300.25
Doxycycline/0–3201780.50.170.110.095.653.512.862.41
Oxytetracycline/0–30201464.50.140.080.070.450.280.230.19
Tetracycline/0–30201428.40.060.040.030.200.120.100.09
Tilmicosin/0–40201513.20.030.020.010.070.040.040.03
i Year of the maximum concentration for the antimicrobials; ii Geometric mean of the concentrations of antimicrobials; iii % EDI to ADI ratio of less than 100% means that the estimated intake is lower than the acceptable intake; iv For Sulfamethoxazole ADI value is not defined.
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Kyriakides, D.; Lazaris, A.C.; Arsenoglou, K.; Emmanouil, M.; Kyriakides, O.; Kavantzas, N.; Panderi, I. Dietary Exposure Assessment of Veterinary Antibiotics in Pork Meat on Children and Adolescents in Cyprus. Foods 2020, 9, 1479. https://doi.org/10.3390/foods9101479

AMA Style

Kyriakides D, Lazaris AC, Arsenoglou K, Emmanouil M, Kyriakides O, Kavantzas N, Panderi I. Dietary Exposure Assessment of Veterinary Antibiotics in Pork Meat on Children and Adolescents in Cyprus. Foods. 2020; 9(10):1479. https://doi.org/10.3390/foods9101479

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Kyriakides, Demetra, Andreas C. Lazaris, Konstantinos Arsenoglou, Maria Emmanouil, Olympia Kyriakides, Nikolaos Kavantzas, and Irene Panderi. 2020. "Dietary Exposure Assessment of Veterinary Antibiotics in Pork Meat on Children and Adolescents in Cyprus" Foods 9, no. 10: 1479. https://doi.org/10.3390/foods9101479

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