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Park D, Choi YS, Kim JY, Choi JD, Moon GI. Determination of Flunixin and 5-Hydroxy Flunixin Residues in Livestock and Fishery Products Using Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS). Food Sci Anim Resour 2024; 44:873-884. [PMID: 38974729 PMCID: PMC11222691 DOI: 10.5851/kosfa.2024.e24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/12/2024] [Accepted: 03/12/2024] [Indexed: 07/09/2024] Open
Abstract
Flunixin is a veterinary nonsteroidal anti-inflammatory agent whose residues have been investigated in their original form within tissues such as muscle and liver. However, flunixin remains in milk as a metabolite, and 5-hydroxy flunixin has been used as the primary marker for its surveillance. This study aimed to develop a quantitative method for detecting flunixin and 5-hydroxy flunixin in milk and to strengthen the monitoring system by applying to other livestock and fishery products. Two different methods were compared, and the target compounds were extracted from milk using an organic solvent, purified with C18, concentrated, and reconstituted using a methanol-based solvent. Following filtering, the final sample was analyzed using liquid chromatography- tandem mass spectrometry. Method 1 is environmentally friendly due to the low use of reagents and is based on a multi-residue, multi-class analysis method approved by the Ministry of Food and Drug Safety. The accuracy and precision of both methods were 84.6%-115% and 0.7%-9.3%, respectively. Owing to the low matrix effect in milk and its convenience, Method 1 was evaluated for other matrices (beef, chicken, egg, flatfish, and shrimp) and its recovery and coefficient of variation are sufficient according to the Codex criteria (CAC/GL 71-2009). The limits of detection and quantification were 2-8 and 5-27 μg/kg for flunixin and 2-10 and 6-33 μg/kg for 5-hydroxy flunixin, respectively. This study can be used as a monitoring method for a positive list system that regulates veterinary drug residues for all livestock and fisheries products.
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Affiliation(s)
- Dahae Park
- Pesticides & Veterinary Drug
Residues Division, National Institute of Food & Drug Safety
Evaluation, Cheongju 28159, Korea
| | - Yong Seok Choi
- College of Pharmacy, Dankook
University, Cheonan 31116, Korea
| | - Ji-Young Kim
- Pesticides & Veterinary Drug
Residues Division, National Institute of Food & Drug Safety
Evaluation, Cheongju 28159, Korea
| | - Jang-Duck Choi
- Pesticides & Veterinary Drug
Residues Division, National Institute of Food & Drug Safety
Evaluation, Cheongju 28159, Korea
| | - Gui-Im Moon
- Pesticides & Veterinary Drug
Residues Division, National Institute of Food & Drug Safety
Evaluation, Cheongju 28159, Korea
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2
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Alkhamis O, Canoura J, Willis C, Wang L, Perry J, Xiao Y. Comparison of Aptamer Signaling Mechanisms Reveals Disparities in Sensor Response and Strategies to Eliminate False Signals. J Am Chem Soc 2023. [PMID: 37217444 DOI: 10.1021/jacs.3c03640] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Aptamers are nucleic acid-based affinity reagents that have been incorporated into a variety of molecular sensor formats. However, many aptamer sensors exhibit insufficient sensitivity and specificity for real-world applications, and although considerable effort has been dedicated to improving sensitivity, sensor specificity has remained largely neglected and understudied. In this work, we have developed a series of sensors using aptamers for the small-molecule drugs flunixin, fentanyl, and furanyl fentanyl and compare their performance─in particular, focusing on their specificity. Contrary to expectations, we observe that sensors using the same aptamer operating under the same physicochemical conditions produce divergent responses to interferents depending on their signal transduction mechanism. For instance, aptamer beacon sensors are susceptible to false-positives from interferents that weakly associate with DNA, while strand-displacement sensors suffer from false-negatives due to interferent-associated signal suppression when both the target and interferent are present. Biophysical analyses suggest that these effects arise from aptamer-interferent interactions that are either nonspecific or induce aptamer conformational changes that are distinct from those induced by true target-binding events. We also demonstrate strategies for improving the sensitivity and specificity of aptamer sensors with the development of a "hybrid beacon," wherein the incorporation of a complementary DNA competitor into an aptamer beacon selectively hinders interferent─but not target─binding and signaling, while simultaneously overcoming signal suppression by interferents. Our results highlight the need for systematic and thorough testing of aptamer sensor response and new aptamer selection methods that optimize specificity more effectively than traditional counter-SELEX.
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Affiliation(s)
- Obtin Alkhamis
- Department of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, North Carolina 27695, United States
| | - Juan Canoura
- Department of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, North Carolina 27695, United States
| | - Connor Willis
- Department of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, North Carolina 27695, United States
| | - Linlin Wang
- Department of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, North Carolina 27695, United States
| | - Jacob Perry
- Department of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, North Carolina 27695, United States
| | - Yi Xiao
- Department of Chemistry, North Carolina State University, 2620 Yarbrough Drive, Raleigh, North Carolina 27695, United States
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Ampadi Ramachandran R, Tell LA, Rai S, Millagaha Gedara NI, Xu X, Riviere JE, Jaberi-Douraki M. An Automated Customizable Live Web Crawler for Curation of Comparative Pharmacokinetic Data: An Intelligent Compilation of Research-Based Comprehensive Article Repository. Pharmaceutics 2023; 15:pharmaceutics15051384. [PMID: 37242626 DOI: 10.3390/pharmaceutics15051384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/17/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023] Open
Abstract
Data curation has significant research implications irrespective of application areas. As most curated studies rely on databases for data extraction, the availability of data resources is extremely important. Taking a perspective from pharmacology, extracted data contribute to improved drug treatment outcomes and well-being but with some challenges. Considering available pharmacology literature, it is necessary to review articles and other scientific documents carefully. A typical method of accessing articles on journal websites is through long-established searches. In addition to being labor-intensive, this conventional approach often leads to incomplete-content downloads. This paper presents a new methodology with user-friendly models to accept search keywords according to the investigators' research fields for metadata and full-text articles. To accomplish this, scientifically published records on the pharmacokinetics of drugs were extracted from several sources using our navigating tool called the Web Crawler for Pharmacokinetics (WCPK). The results of metadata extraction provided 74,867 publications for four drug classes. Full-text extractions performed with WCPK revealed that the system is highly competent, extracting over 97% of records. This model helps establish keyword-based article repositories, contributing to comprehensive databases for article curation projects. This paper also explains the procedures adopted to build the proposed customizable-live WCPK, from system design and development to deployment phases.
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Affiliation(s)
- Remya Ampadi Ramachandran
- 1DATA Consortium, Kansas State University Olathe, Olathe, KS 66061, USA
- Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, KS 66061, USA
- Department of Mathematics, Kansas State University, Manhattan, KS 66502, USA
| | - Lisa A Tell
- FARAD, Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California-Davis, Davis, CA 95616, USA
| | - Sidharth Rai
- 1DATA Consortium, Kansas State University Olathe, Olathe, KS 66061, USA
- Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, KS 66061, USA
- Department of Mathematics, Kansas State University, Manhattan, KS 66502, USA
| | - Nuwan Indika Millagaha Gedara
- 1DATA Consortium, Kansas State University Olathe, Olathe, KS 66061, USA
- Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, KS 66061, USA
- Department of Mathematics, Kansas State University, Manhattan, KS 66502, USA
| | - Xuan Xu
- 1DATA Consortium, Kansas State University Olathe, Olathe, KS 66061, USA
- Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, KS 66061, USA
- Department of Mathematics, Kansas State University, Manhattan, KS 66502, USA
| | - Jim E Riviere
- 1DATA Consortium, Kansas State University Olathe, Olathe, KS 66061, USA
- Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, KS 66061, USA
| | - Majid Jaberi-Douraki
- 1DATA Consortium, Kansas State University Olathe, Olathe, KS 66061, USA
- Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, KS 66061, USA
- Department of Mathematics, Kansas State University, Manhattan, KS 66502, USA
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de Solla SR, King LE, Gilroy ÈAM. Environmental exposure to non-steroidal anti-inflammatory drugs and potential contribution to eggshell thinning in birds. ENVIRONMENT INTERNATIONAL 2023; 171:107638. [PMID: 36542999 DOI: 10.1016/j.envint.2022.107638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/17/2022] [Accepted: 11/14/2022] [Indexed: 06/17/2023]
Abstract
Abnormally thin eggshells can reduce avian reproductive success, and have caused rapid population declines. The best known examples of this phenomenon are the widespread population crashes in birds, mostly raptors, fish eating birds, and scavengers, caused by the pesticide DDT and its isomers in the 1960s. A variety of other chemicals have been reported to cause eggshell thinning. Non-steroidal anti-inflammatory drugs (NSAIDs), which are extensively and increasingly used in human and veterinary medicine, may be one particularly concerning group of chemicals that demonstrate an ability to impair eggshell development, based both on laboratory studies and on their known mechanism of action. In this review, we outline environmental and wildlife exposure to NSAIDs, describe the process of eggshell formation, and discuss pathways affected by NSAIDs. We list pharmaceuticals, including NSAIDs, and other compounds demonstrated to reduce eggshell thickness, and highlight their main mechanisms of action. Dosing studies empirically demonstrated that NSAIDs reduce eggshell thickness through cyclooxygenase inhibition, which suppresses prostaglandin synthesis and reduces the calcium available for the mineralization of eggshell. Using the US EPA's CompTox Chemicals Dashboard, we show that NSAIDs are predicted to strongly inhibit cyclooxygenases. NSAIDs have been observed both in the putative diet of scavenging birds, and we report examples of NSAIDs detected in eggs or tissues of wild and captive Old World vultures. We suggest that NSAIDs in the environment represent a hazard that could impair reproduction in wild birds.
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Affiliation(s)
- Shane R de Solla
- Ecotoxicology and Wildlife Health Division, Environment and Climate Change Canada, 867 Lakeshore Road, Burlington, ON L7S 1A1, Canada.
| | - Laura E King
- Ecotoxicology and Wildlife Health Division, Environment and Climate Change Canada, 867 Lakeshore Road, Burlington, ON L7S 1A1, Canada
| | - Ève A M Gilroy
- Aquatic Contaminants Research Division, Environment and Climate Change Canada, 867 Lakeshore Road, Burlington, ON L7S 1A1, Canada
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Nixon E, Mays TP, Routh PA, Yeatts JL, Fajt VR, Hairgrove T, Baynes RE. Plasma, urine and tissue concentrations of Flunixin and Meloxicam in Pigs. BMC Vet Res 2020; 16:340. [PMID: 32938437 PMCID: PMC7493136 DOI: 10.1186/s12917-020-02556-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 09/04/2020] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The objective of this study was to determine the renal clearance of flunixin and meloxicam in pigs and compare plasma and urine concentrations and tissue residues. Urine clearance is important for livestock show animals where urine is routinely tested for these drugs. Fourteen Yorkshire/Landrace cross pigs were housed in individual metabolism cages to facilitate urine collection. This is a unique feature of this study compared to other reports. Animals received either 2.2 mg/kg flunixin or 0.4 mg/kg meloxicam via intramuscular injection and samples analyzed by mass spectrometry. Pigs were euthanized when drugs were no longer detected in urine and liver and kidneys were collected to quantify residues. RESULTS Drug levels in urine reached peak concentrations between 4 and 8 h post-dose for both flunixin and meloxicam. Flunixin urine concentrations were higher than maximum levels in plasma. Urine concentrations for flunixin and meloxicam were last detected above the limit of quantification at 120 h and 48 h, respectively. The renal clearance of flunixin and meloxicam was 4.72 ± 2.98 mL/h/kg and 0.16 ± 0.04 mL/h/kg, respectively. Mean apparent elimination half-life in plasma was 5.00 ± 1.89 h and 3.22 ± 1.52 h for flunixin and meloxicam, respectively. Six of seven pigs had detectable liver concentrations of flunixin (range 0.0001-0.0012 µg/g) following negative urine samples at 96 and 168 h, however all samples at 168 h were below the FDA tolerance level (0.03 µg/g). Meloxicam was detected in a single liver sample (0.0054 µg/g) at 72 h but was below the EU MRL (0.065 µg/g). CONCLUSIONS These data suggest that pigs given a single intramuscular dose of meloxicam at 0.4 mg/kg or flunixin at 2.2 mg/kg are likely to have detectable levels of the parent drug in urine up to 2 days and 5 days, respectively, after the first dose, but unlikely to have tissue residues above the US FDA tolerance or EU MRL following negative urine testing. This information will assist veterinarians in the therapeutic use of these drugs prior to livestock shows and also inform livestock show authorities involved in testing for these substances.
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Affiliation(s)
- Emma Nixon
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, 27607, Raleigh, NC, United States
| | - Travis P Mays
- Texas A & M Veterinary Medical Diagnostic Laboratory, 77840, College Station, TX, United States
| | - Patricia A Routh
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, 27607, Raleigh, NC, United States
| | - James L Yeatts
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, 27607, Raleigh, NC, United States
| | - Virginia R Fajt
- Department of Veterinary Physiology and Pharmacology, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, 77843, College Station, TX, United States
| | - Thomas Hairgrove
- Texas A & M AgriLife Extension, Texas A & M University, 77843, College Station, TX, United States
| | - Ronald E Baynes
- Department of Population Health and Pathobiology, College of Veterinary Medicine, North Carolina State University, 27607, Raleigh, NC, United States.
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6
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Smith JS, Marmulak TL, Angelos JA, Lin Z, Rowe JD, Carlson JL, Shelver WL, Lee EA, Tell LA. Pharmacokinetic Parameters and Estimated Milk Withdrawal Intervals for Domestic Goats ( Capra Aegagrus Hircus) After Administration of Single and Multiple Intravenous and Subcutaneous Doses of Flunixin Meglumine. Front Vet Sci 2020; 7:213. [PMID: 32509803 PMCID: PMC7248982 DOI: 10.3389/fvets.2020.00213] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Accepted: 03/31/2020] [Indexed: 12/20/2022] Open
Abstract
Introduction: The study objectives were to estimate plasma flunixin (FLU) pharmacokinetic parameters and milk depletion profiles for FLU and its metabolite (5-hydroxy flunixin; 5-OH) after subcutaneous (SC) and intravenous (IV) administration of single and multiple flunixin meglumine (FM) doses to non-lactating (nulliparous and pregnant does) and lactating dairy goats. Analytical methods (ELISA and UPLC-MS/MS) for quantifying plasma FLU concentrations were compared. The final objective was to use regulatory (FDA and EMA) methods to estimate milk withdrawal intervals following extra-label drug use in goats. Methods: FM was administered IV and SC to commercial dairy goats at 1.1 mg/kg for single and multiple doses. Plasma and milk samples were analyzed for FLU and 5-OH via UPLC-MS/MS. Plasma samples were also analyzed for FLU concentrations via ELISA. Using statistical approaches recommended by regulatory agencies, milk withdrawal intervals were estimated following FM extra-label use. Results: Following IV administration of a single FM dose, clearances were 127, 199, and 365 ml/kg/h for non-lactating (NL) pregnant does, NL nulliparous does, and lactating dairy does, respectively. Following multiple SC doses, clearance/F was 199 ml/kg/h for lactating does. After IV administration of a single FM dose, terminal elimination half-lives were 4.08, 2.87, and 3.77 h for NL pregnant does, NL nulliparous does, and lactating dairy does, respectively. After multiple SC doses, the terminal elimination half-life was 3.03 h for lactating dairy does. No significant differences were noted for samples analyzed by UPLC-MS/MS or ELISA. Milk withdrawal intervals ranged from 36 to 60 h depending on the regulatory statistical method and dosage regimen. Conclusions: Subcutaneous administration of FM to goats results in similar plasma pharmacokinetic parameters as IV administration. ELISA analysis is an alternative method to UPLC-MS/MS for quantifying FLU concentrations in caprine plasma samples. Following FM extra-label administration to dairy goats, clinicians could consider 36–60 h milk withdrawal intervals.
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Affiliation(s)
- Joe S Smith
- School of Veterinary Medicine, William R. Pritchard Veterinary Medical Teaching Hospital (VMTH), University of California, Davis, Davis, CA, United States
| | - Tara L Marmulak
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - John A Angelos
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Zhoumeng Lin
- Department of Anatomy and Physiology, Institute of Computational Comparative Medicine (ICCM), College of Veterinary Medicine, Kansas State University, Manhattan, KS, United States
| | - Joan D Rowe
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Jan L Carlson
- Department of Animal Science, College of Agricultural and Environmental Sciences, University of California, Davis, Davis, CA, United States
| | - Weilin L Shelver
- USDA-ARS Biosciences Research Laboratory, Fargo, ND, United States
| | - Elizabeth A Lee
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
| | - Lisa A Tell
- Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, Davis, CA, United States
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7
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Eleni C, Neri B, Giannetti L, Grifoni G, Meoli R, Stravino F, Friedrich KG, Scholl F, Di Cerbo P, Battisti A. Death of captive-bred vultures caused by flunixin poisoning in Italy. ENVIRONMENTAL TOXICOLOGY AND PHARMACOLOGY 2019; 68:91-93. [PMID: 30878718 DOI: 10.1016/j.etap.2019.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 03/05/2019] [Accepted: 03/10/2019] [Indexed: 06/09/2023]
Abstract
Among non steroidal anti-inflammatory drugs (NSAIDs) diclofenac is considered the main cause for the decline of vulture populations in the Indian subcontinent since the '90 s. Chemical analysis showed high levels of flunixin (31,350 μg/kg) in beef which three captive Gyps vultures fed on, later dying with severe visceral gout. Levels in dead vultures' organs and tissues ranged from 4 to 38.5 μg/kg. The typical lesions and the concentrations found in beef indicate flunixin as the cause of death. This is the first observational study which correlates the concentration of flunixin in the meat ingested with that found in tissues of vultures.
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Affiliation(s)
- Claudia Eleni
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
| | - Bruno Neri
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
| | - Luigi Giannetti
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
| | - Goffredo Grifoni
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
| | - Roberta Meoli
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
| | - Fiorentino Stravino
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
| | | | - Francesco Scholl
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
| | - Pilar Di Cerbo
- Fondazione Bioparco, Via del Giardino Zoologico 20, 00197 Rome, Italy.
| | - Antonio Battisti
- Istituto Zooprofilattico Sperimentale del Lazio e della Toscana "M. Aleandri", Via Appia Nuova 1411, 00178 Rome, Italy.
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8
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Integration of Food Animal Residue Avoidance Databank (FARAD) empirical methods for drug withdrawal interval determination with a mechanistic population-based interactive physiologically based pharmacokinetic (iPBPK) modeling platform: example for flunixin meglumine administration. Arch Toxicol 2019; 93:1865-1880. [PMID: 31025081 DOI: 10.1007/s00204-019-02464-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 04/18/2019] [Indexed: 12/31/2022]
Abstract
Violative chemical residues in animal-derived food products affect food safety globally and have impact on the trade of international agricultural products. The Food Animal Residue Avoidance Databank program has been developing scientific tools to provide appropriate withdrawal interval (WDI) estimations after extralabel drug use in food animals for the past three decades. One of the tools is physiologically based pharmacokinetic (PBPK) modeling, which is a mechanistic-based approach that can be used to predict tissue residues and WDIs. However, PBPK models are complicated and difficult to use by non-modelers. Therefore, a user-friendly PBPK modeling framework is needed to move this field forward. Flunixin was one of the top five violative drug residues identified in the United States from 2010 to 2016. The objective of this study was to establish a web-based user-friendly framework for the development of new PBPK models for drugs administered to food animals. Specifically, a new PBPK model for both cattle and swine after administration of flunixin meglumine was developed. Population analysis using Monte Carlo simulations was incorporated into the model to predict WDIs following extralabel administration of flunixin meglumine. The population PBPK model was converted to a web-based interactive PBPK (iPBPK) framework to facilitate its application. This iPBPK framework serves as a proof-of-concept for further improvements in the future and it can be applied to develop new models for other drugs in other food animal species, thereby facilitating the application of PBPK modeling in WDI estimation and food safety assessment.
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9
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Shelver WL, McGarvey AM. Assessment of veterinary drugs present in pork kidney from a Midwest US retail market. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2019; 36:571-581. [PMID: 30882287 DOI: 10.1080/19440049.2019.1586455] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
Abstract
A total of 1040 pork kidneys were purchased from 4 retail stores located in a Midwestern US town and screened for antibiotics with the Charm-KIS™ screening test. Six samples (0.6%) tested positive with the Charm-KIS™. Sixty-five samples from each retail location and the 18 Charm-KIS™ positive or 'caution' samples were also subjected to ELISA to determine the presence of commonly used veterinary drugs including flunixin, ractopamine, sulfamethazine, and/or tetracycline of the 278 samples assessed by ELISA, flunixin, ractopamine, sulfamethazine, and tetracycline residues were found to be 0%, 22%, 4%, and 10% ELISA positive respectively, and had greater than limit of quantitation concentrations as measured by LC-MS/MS. All residue levels determined by LC-MS/MS were well below US tolerances, regardless of analyte. These findings suggest that veterinary drugs are being used in accordance with US regulations and that veterinary drug residues in pork do not pose a health concern to US consumers.
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Affiliation(s)
- Weilin L Shelver
- a Edward T Schafer Agricultural Research Center, Biosciences Research Laboratory , USDA Agricultural Research Service , Fargo , USA
| | - Amy M McGarvey
- a Edward T Schafer Agricultural Research Center, Biosciences Research Laboratory , USDA Agricultural Research Service , Fargo , USA
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10
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Bon C, Toutain PL, Concordet D, Gehring R, Martin-Jimenez T, Smith J, Pelligand L, Martinez M, Whittem T, Riviere JE, Mochel JP. Mathematical modeling and simulation in animal health. Part III: Using nonlinear mixed-effects to characterize and quantify variability in drug pharmacokinetics. J Vet Pharmacol Ther 2018; 41:171-183. [PMID: 29226975 DOI: 10.1111/jvp.12473] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2017] [Accepted: 11/16/2017] [Indexed: 01/12/2023]
Abstract
A common feature of human and veterinary pharmacokinetics is the importance of identifying and quantifying the key determinants of between-patient variability in drug disposition and effects. Some of these attributes are already well known to the field of human pharmacology such as bodyweight, age, or sex, while others are more specific to veterinary medicine, such as species, breed, and social behavior. Identification of these attributes has the potential to allow a better and more tailored use of therapeutic drugs both in companion and food-producing animals. Nonlinear mixed effects (NLME) have been purposely designed to characterize the sources of variability in drug disposition and response. The NLME approach can be used to explore the impact of population-associated variables on the relationship between drug administration, systemic exposure, and the levels of drug residues in tissues. The latter, while different from the method used by the US Food and Drug Administration for setting official withdrawal times (WT) can also be beneficial for estimating WT of approved animal drug products when used in an extralabel manner. Finally, NLME can also prove useful to optimize dosing schedules, or to analyze sparse data collected in situations where intensive blood collection is technically challenging, as in small animal species presenting limited blood volume such as poultry and fish.
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Affiliation(s)
- C Bon
- Roche Pharmaceutical Research and Early Development, Roche Innovation Center, Basel, Switzerland
| | - P L Toutain
- Department of Veterinary Basic Sciences, Royal Veterinary College, Hatfield, UK
| | - D Concordet
- Toxalim, Research Centre in Food Toxicology, Toulouse, France
- Université de Toulouse, ENVT, INP, Toxalim, Toulouse, France
- Laboratoire de Physiologie et Thérapeutique, École Nationale Vétérinaire de Toulouse INRA, UMR 1331, Toulouse, France
| | - R Gehring
- Department of Anatomy and Physiology, College of Veterinary Medicine, Institute of Computational Comparative Medicine (ICCM), Kansas State University, Manhattan, KS, USA
| | - T Martin-Jimenez
- Department of Comparative Medicine, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA
| | - J Smith
- Veterinary Diagnostic and Production Animal Medicine, Iowa State University College of Veterinary Medicine, Ames, IA, USA
| | - L Pelligand
- Department of Veterinary Basic Sciences, Royal Veterinary College, Hatfield, UK
| | - M Martinez
- Center for Veterinary Medicine, US Food and Drug Administration, Rockville, MD, USA
| | - T Whittem
- Translational Research and Animal Clinical Trials (TRACTs) Group, Faculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, Vic., Australia
| | - J E Riviere
- Department of Anatomy and Physiology, College of Veterinary Medicine, Institute of Computational Comparative Medicine (ICCM), Kansas State University, Manhattan, KS, USA
| | - J P Mochel
- Biomedical Sciences, Iowa State University College of Veterinary Medicine, Ames, IA, USA
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Mzyk DA, Gehring R, Tell LA, Vickroy TW, Riviere JE, Ragan G, Baynes RE, Smith GW. Considerations for extralabel drug use in calves. J Am Vet Med Assoc 2017; 250:1275-1282. [DOI: 10.2460/javma.250.11.1275] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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Riviere JE, Tell LA, Baynes RE, Vickroy TW, Gehring R. Guide to FARAD resources: historical and future perspectives. J Am Vet Med Assoc 2017; 250:1131-1139. [DOI: 10.2460/javma.250.10.1131] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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