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            "title": "A Population WB-PBPK Model of Colistin and its Prodrug CMS in Pigs: Focus on the Renal Distribution and Excretion",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "Alexis",
                    "lastName": "Viel"
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                {
                    "creatorType": "author",
                    "firstName": "Jérôme",
                    "lastName": "Henri"
                },
                {
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                    "firstName": "Salim",
                    "lastName": "Bouchène"
                },
                {
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                    "firstName": "Julian",
                    "lastName": "Laroche"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jean-Guy",
                    "lastName": "Rolland"
                },
                {
                    "creatorType": "author",
                    "firstName": "Jacqueline",
                    "lastName": "Manceau"
                },
                {
                    "creatorType": "author",
                    "firstName": "Michel",
                    "lastName": "Laurentie"
                },
                {
                    "creatorType": "author",
                    "firstName": "William",
                    "lastName": "Couet"
                },
                {
                    "creatorType": "author",
                    "firstName": "Nicolas",
                    "lastName": "Grégoire"
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            "abstractNote": "PURPOSE: The objective was the development of a whole-body physiologically-based pharmacokinetic (WB-PBPK) model for colistin, and its prodrug colistimethate sodium (CMS), in pigs to explore their tissue distribution, especially in kidneys.\nMETHODS: Plasma and tissue concentrations of CMS and colistin were measured after systemic administrations of different dosing regimens of CMS in pigs. The WB-PBPK model was developed based on these data according to a non-linear mixed effect approach and using NONMEM software. A detailed sub-model was implemented for kidneys to handle the complex disposition of CMS and colistin within this organ.\nRESULTS: The WB-PBPK model well captured the kinetic profiles of CMS and colistin in plasma. In kidneys, an accumulation and slow elimination of colistin were observed and well described by the model. Kidneys seemed to have a major role in the elimination processes, through tubular secretion of CMS and intracellular degradation of colistin. Lastly, to illustrate the usefulness of the PBPK model, an estimation of the withdrawal periods after veterinary use of CMS in pigs was made.\nCONCLUSIONS: The WB-PBPK model gives an insight into the renal distribution and elimination of CMS and colistin in pigs; it may be further developed to explore the colistin induced-nephrotoxicity in humans.",
            "publicationTitle": "Pharmaceutical Research",
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            "place": "",
            "date": "Mar 12, 2018",
            "volume": "35",
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            "partTitle": "",
            "pages": "92",
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            "journalAbbreviation": "Pharm. Res.",
            "DOI": "10.1007/s11095-018-2379-4",
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            "ISSN": "1573-904X",
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            "shortTitle": "A Population WB-PBPK Model of Colistin and its Prodrug CMS in Pigs",
            "language": "eng",
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            "extra": "PMID: 29532176",
            "tags": [
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                    "tag": "CMS"
                },
                {
                    "tag": "PBPK model"
                },
                {
                    "tag": "colistin"
                },
                {
                    "tag": "kidneys"
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                {
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        "data": {
            "key": "MF4ZT2FX",
            "version": 8169,
            "itemType": "journalArticle",
            "title": "A physiologically based pharmacokinetic model for chickens exposed to feed supplemented with monensin during their lifetime",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "J.",
                    "lastName": "Henri"
                },
                {
                    "creatorType": "author",
                    "firstName": "R.",
                    "lastName": "Carrez"
                },
                {
                    "creatorType": "author",
                    "firstName": "B.",
                    "lastName": "Méda"
                },
                {
                    "creatorType": "author",
                    "firstName": "M.",
                    "lastName": "Laurentie"
                },
                {
                    "creatorType": "author",
                    "firstName": "P.",
                    "lastName": "Sanders"
                }
            ],
            "abstractNote": "We developed a flow-limited physiologically based pharmacokinetic model for residues of monensin in chickens and evaluated its predictive ability by comparing it with an external data set describing concentration decays after the end of treatment. One advantage of this model is that the values for most parameters (34 of 38) were taken directly from the literature or from field data (for growth and feed intake). Our model included growth (changes in body weight) to describe exposure throughout the life of the chicken. We carried out a local sensitivity analysis to evaluate the relative importance of model parameters on model outputs and revealed the predominant influence of 19 parameters (including three estimated ones): seven pharmacokinetic parameters, five physiological parameters and seven animal performance parameters. Our model estimated the relative bioavailability of monensin as feed additive at 3.9%, which is even lower than the absolute bioavailability in solution (29.91%). Our model can be used for extrapolations of farming conditions, such as monensin supplementation or building lighting programme (which may have a significant impact for short half-life molecules such as monensin). This validated PBPK model may also be useful for interspecies extrapolations or withdrawal period calculations for modified dosage regimens. © 2016 John Wiley & Sons Ltd",
            "publicationTitle": "Journal of Veterinary Pharmacology and Therapeutics",
            "publisher": "",
            "place": "",
            "date": "2017",
            "volume": "40",
            "issue": "4",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "370-382",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "",
            "DOI": "10.1111/jvp.12370",
            "citationKey": "",
            "url": "",
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            "PMID": "",
            "PMCID": "",
            "ISSN": "",
            "archive": "Scopus",
            "archiveLocation": "",
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            "language": "",
            "libraryCatalog": "Scopus",
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            "dateAdded": "2018-03-20T09:03:37Z",
            "dateModified": "2018-09-10T13:57:00Z"
        }
    },
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            "creatorSummary": "Munk et al.",
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            "version": 8171,
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            "title": "Abundance and diversity of the faecal resistome in slaughter pigs and broilers in nine European countries",
            "creators": [
                {
                    "creatorType": "author",
                    "firstName": "P.",
                    "lastName": "Munk"
                },
                {
                    "creatorType": "author",
                    "firstName": "B.E.",
                    "lastName": "Knudsen"
                },
                {
                    "creatorType": "author",
                    "firstName": "O.",
                    "lastName": "Lukjacenko"
                },
                {
                    "creatorType": "author",
                    "firstName": "A.S.R.",
                    "lastName": "Duarte"
                },
                {
                    "creatorType": "author",
                    "firstName": "Gompel",
                    "lastName": "Van"
                },
                {
                    "creatorType": "author",
                    "firstName": "R.E.C.",
                    "lastName": "Luiken"
                },
                {
                    "creatorType": "author",
                    "firstName": "L.A.M.",
                    "lastName": "Smit"
                },
                {
                    "creatorType": "author",
                    "firstName": "H.",
                    "lastName": "Schmitt"
                },
                {
                    "creatorType": "author",
                    "firstName": "A.D.",
                    "lastName": "Garcia"
                },
                {
                    "creatorType": "author",
                    "firstName": "R.B.",
                    "lastName": "Hansen"
                },
                {
                    "creatorType": "author",
                    "firstName": "T.N.",
                    "lastName": "Petersen"
                },
                {
                    "creatorType": "author",
                    "firstName": "A.",
                    "lastName": "Bossers"
                },
                {
                    "creatorType": "author",
                    "firstName": "E.",
                    "lastName": "Ruppé"
                },
                {
                    "creatorType": "author",
                    "firstName": "H.",
                    "lastName": "Graveland"
                },
                {
                    "creatorType": "author",
                    "firstName": "Essen",
                    "lastName": "van"
                },
                {
                    "creatorType": "author",
                    "firstName": "B.",
                    "lastName": "Gonzalez-Zorn"
                },
                {
                    "creatorType": "author",
                    "firstName": "G.",
                    "lastName": "Moyano"
                },
                {
                    "creatorType": "author",
                    "firstName": "P.",
                    "lastName": "Sanders"
                },
                {
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                    "firstName": "C.",
                    "lastName": "Chauvin"
                },
                {
                    "creatorType": "author",
                    "firstName": "J.",
                    "lastName": "David"
                },
                {
                    "creatorType": "author",
                    "firstName": "A.",
                    "lastName": "Battisti"
                },
                {
                    "creatorType": "author",
                    "firstName": "A.",
                    "lastName": "Caprioli"
                },
                {
                    "creatorType": "author",
                    "firstName": "J.",
                    "lastName": "Dewulf"
                },
                {
                    "creatorType": "author",
                    "firstName": "T.",
                    "lastName": "Blaha"
                },
                {
                    "creatorType": "author",
                    "firstName": "K.",
                    "lastName": "Wadepohl"
                },
                {
                    "creatorType": "author",
                    "firstName": "M.",
                    "lastName": "Brandt"
                },
                {
                    "creatorType": "author",
                    "firstName": "D.",
                    "lastName": "Wasyl"
                },
                {
                    "creatorType": "author",
                    "firstName": "M.",
                    "lastName": "Skarzyńska"
                },
                {
                    "creatorType": "author",
                    "firstName": "M.",
                    "lastName": "Zajac"
                },
                {
                    "creatorType": "author",
                    "firstName": "H.",
                    "lastName": "Daskalov"
                },
                {
                    "creatorType": "author",
                    "firstName": "H.W.",
                    "lastName": "Saatkamp"
                },
                {
                    "creatorType": "author",
                    "firstName": "K.D.C.",
                    "lastName": "Stärk"
                },
                {
                    "creatorType": "author",
                    "firstName": "O.",
                    "lastName": "Lund"
                },
                {
                    "creatorType": "author",
                    "firstName": "T.",
                    "lastName": "Hald"
                },
                {
                    "creatorType": "author",
                    "firstName": "S.J.",
                    "lastName": "Pamp"
                },
                {
                    "creatorType": "author",
                    "firstName": "H.",
                    "lastName": "Vigre"
                },
                {
                    "creatorType": "author",
                    "firstName": "D.",
                    "lastName": "Heederik"
                },
                {
                    "creatorType": "author",
                    "firstName": "J.A.",
                    "lastName": "Wagenaar"
                },
                {
                    "creatorType": "author",
                    "firstName": "D.",
                    "lastName": "Mevius"
                },
                {
                    "creatorType": "author",
                    "firstName": "F.M.",
                    "lastName": "Aarestrup"
                },
                {
                    "creatorType": "author",
                    "firstName": "Group",
                    "lastName": "EFFORT"
                }
            ],
            "abstractNote": "Antimicrobial resistance (AMR) in bacteria and associated human morbidity and mortality is increasing. The use of antimicrobials in livestock selects for AMR that can subsequently be transferred to humans. This flow of AMR between reservoirs demands surveillance in livestock and in humans. We quantified and characterized the acquired resistance gene pools (resistomes) of 181 pig and 178 poultry farms from nine European countries, sequencing more than 5,000 Gb of DNA using shotgun metagenomics. We quantified acquired AMR using the ResFinder database and a second database constructed for this study, consisting of AMR genes identified through screening environmental DNA. The pig and poultry resistomes were very different in abundance and composition. There was a significant country effect on the resistomes, more so in pigs than in poultry. We found higher AMR loads in pigs, whereas poultry resistomes were more diverse. We detected several recently described, critical AMR genes, including mcr-1 and optrA, the abundance of which differed both between host species and between countries. We found that the total acquired AMR level was associated with the overall country-specific antimicrobial usage in livestock and that countries with comparable usage patterns had similar resistomes. However, functionally determined AMR genes were not associated with total drug use. © 2018, The Author(s).",
            "publicationTitle": "Nature Microbiology",
            "publisher": "",
            "place": "",
            "date": "2018",
            "volume": "3",
            "issue": "8",
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            "partNumber": "",
            "partTitle": "",
            "pages": "898-908",
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            "DOI": "10.1038/s41564-018-0192-9",
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                    "firstName": "H.",
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                    "firstName": "I.",
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                    "firstName": "F.",
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            "abstractNote": "A new, simple and fast method was developed for the determination of multi-class antibiotic residues in honey (sulfonamides, tetracyclines, macrolides, lincosamides and aminoglycosides). Separation and determination were carried out by LC-MS/MS. During sample preparation, various parameters affecting extraction efficiency were examined, including the type of solvent, pH, efficiencies of cleavage of N-glycosidic linkages by hydrochloric acid, ultrasonic extraction and its duration compared with shaking, along with dispersive SPE clean-up. Experiments with fortified samples demonstrated that 10 min of ultrasonic treatment with acidified methanol (HCl 2 M) followed by dispersive SPE clean-up with 50 mg PSA gave an effective sample preparation method for several classes of antibiotics in honey. Anhydroerythromycin A, erythromycin A enol ether and desmycosin were used as markers for the presence of erythromycin A and tylosin A in honey samples. The method was validated according to European Commission Decision (EC) No. 2002/657. The recoveries of analytes ranged from 85% to 111%. Repeatability and intra-laboratory reproducibility were &lt; 20.6% and 26.8%, respectively. Decision limit (CCα) and detection capability (CCβ) ranged from 6 to 9 µg kg– 1 and from 7 to 13 µg kg– 1, respectively, except for streptomycin and neomycin, which showed slightly higher CCα at 25 µg kg– 1 and CCβ at 34 µg kg– 1. Finally, the method was applied to the honey test material 02270 through a FAPAS proficiency test (PT) for the determination of tetracyclines. PT results were obtained within a z-score range of ±2, proving that the validated method is suitable for routine analysis to ensure the quality of honey. © 2016 Informa UK Limited, trading as Taylor & Francis Group.",
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            "title": "Maitotoxin-4, a novel MTX analog produced by Gambierdiscus excentricus",
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                    "firstName": "F.",
                    "lastName": "Pisapia"
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                    "lastName": "Sibat"
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                    "lastName": "Lhaute"
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                    "lastName": "Gaiani"
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            "publicationTitle": "Marine Drugs",
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            "DOI": "10.3390/md15070220",
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            "abstractNote": "Polyandry has been studied in many species, especially birds [1]. Exclusively fraternal polyandry (several full or half-brothers with one unrelated female) is only known in human societies [2, 3], in which it is an important mechanism for limiting reproductive output [3] in association with scarce environmental resources [2]. However, the social organization of the Kagu Rhynochetos jubatus, a bird species endemic to New Caledonia, has the characteristics of this mating system. Kagu are cooperative breeders and evolved in the absence of predators [4, 5]. Breeding birds and their helpers contributes to the care and defense of the chick [6]. Kagu populations occur in both poor and rich habitats [7] and differ substantially in food supply and associated reproduction rates [8]. This enabled us to verify whether fraternal polyandry increased reproductive output in low-density situations but limited reproduction in high-density populations. Our 15-year study revealed that, regardless of resource availability, Kagu were organized in facultative fraternal polyandrous families grouped in clans. Within a clan, all breeding females were unrelated, whereas all males were related. There was no extra-clan paternity. An average family size of four to five adults was optimal for breeding success. Males that have long-established families in their own territory regularly visited their parents. We conclude that fraternal polyandry in Kagu increases reproductive output under poor environmental conditions but limits population growth when the population is near carrying capacity because the clannish spatial organization prevents new families from establishing territories. Theuerkauf et al. reveal a striking social organization in a flightless bird, the Kagu, otherwise only known from human societies. Kagu are organized in facultative fraternal polyandrous families grouped in clans of related males. Male offspring that have established their own families within the clan still keep regular contacts with their parents. © 2018 Elsevier Ltd",
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            "pages": "1482-1488.e3",
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            "abstractNote": "Heavy metals, such as arsenic (As), antimony (Sb), barium (Ba), cadmium (Cd), cobalt (Co), germanium (Ge), lead (Pb), nickel (Ni), tellurium (Te), and vanadium (V) are widely distributed in the environment and in the food chain. Human exposure to heavy metals through water and food has been reported by different international agencies. Although some of these heavy metals are essential elements for human growth and development, they may also be toxic at low concentrations due to indirect mechanisms. In this study, the genotoxic and cytotoxic properties of 15 different oxidation statuses of 11 different heavy metals were investigated using high-throughput screening (γH2AX assay) in two human cell lines (HepG2 and LS-174T) representative of target organs (liver and colon) for food contaminants. Base on their lowest observed adverse effect concentration, the genotoxic potency of each heavy metal in each cell line was ranked in decreasing order, NaAsO2 &gt; CdCl2 &gt; PbCl2 (only in LS-174T cells) &gt; As2O5 &gt; SbCl3 &gt; K2TeO3 &gt; As2O3. No significant genotoxicity was observed with the other heavy metals tested. Cell viability data indicate that several heavy metals (As, Cd, Co, Ni, Sb, and Te) induce cytotoxicity at high concentrations, whereas an increase in the number of cells was observed for lead concentrations &gt;100 µM in both cell lines tested, suggesting that lead stimulates cell growth. All these results highlight the possible human health hazards associated with the presence of heavy metals present in food. Environ. Mol. Mutagen. 59:202–210, 2018. © 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.",
            "publicationTitle": "Environmental and Molecular Mutagenesis",
            "publisher": "",
            "place": "",
            "date": "2018",
            "volume": "59",
            "issue": "3",
            "section": "",
            "partNumber": "",
            "partTitle": "",
            "pages": "202-210",
            "series": "",
            "seriesTitle": "",
            "seriesText": "",
            "journalAbbreviation": "",
            "DOI": "10.1002/em.22157",
            "citationKey": "",
            "url": "",
            "accessDate": "",
            "PMID": "",
            "PMCID": "",
            "ISSN": "",
            "archive": "Scopus",
            "archiveLocation": "",
            "shortTitle": "",
            "language": "",
            "libraryCatalog": "Scopus",
            "callNumber": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "H2AX",
                    "type": 1
                },
                {
                    "tag": "genotoxicity",
                    "type": 1
                },
                {
                    "tag": "heavy metals",
                    "type": 1
                },
                {
                    "tag": "human cells",
                    "type": 1
                }
            ],
            "collections": [],
            "relations": {},
            "dateAdded": "2018-09-10T13:53:38Z",
            "dateModified": "2018-09-10T13:53:38Z"
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