Can aquatic distribution of human pharmaceuticals be related to pharmacological data?
Identifieur interne : 003E42 ( PascalFrancis/Corpus ); précédent : 003E41; suivant : 003E43Can aquatic distribution of human pharmaceuticals be related to pharmacological data?
Auteurs : Michael Williams ; Carine L. A. Saison ; Desmond B. Williams ; Rai S. KookanaSource :
- Chemosphere : (Oxford) [ 0045-6535 ] ; 2006.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
The recognition of pharmaceuticals as significant environmental contaminants has only been a recent phenomenon. Therefore there is a paucity of data relating to the fate and effects of pharmaceuticals once they enter an aquatic receiving system. The amount of work that needs to be done in terms of risk assessment for pharmaceuticals required by regulatory agencies is substantial. This paper has determined the environmental partitioning coefficient (Kd) of 13 diverse human pharmaceuticals in three model systems of differing combinations of solid phases and solutions. The Kd values were then compared with distribution values of the pharmaceuticals in the human body determined from pharmacological studies. This was done to assess the functional relationship between Kd and distribution values in the human body (VD). Kd values ranged from 3 to 2450 L kg-1. Regression coefficients ranged from r2 = 0.62-0.72, indicating that VD values are a useful indicator for the Kd values of the tested pharmaceuticals within the batch sorption systems. The relationship between Kd and VD should therefore be further explored to determine whether this relationship can be applied to a broader range of pharmaceuticals in more diverse environmental systems. Exploiting available human pharmacological data in such a way would be of great benefit in prioritising human pharmaceuticals as environmental contaminants in the risk assessment process.
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Format Inist (serveur)
| NO : | PASCAL 07-0057848 INIST |
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| ET : | Can aquatic distribution of human pharmaceuticals be related to pharmacological data? |
| AU : | WILLIAMS (Michael); SAISON (Carine L. A.); WILLIAMS (Desmond B.); KOOKANA (Rai S.) |
| AF : | CSIRO Land and Water, PMB 2/Glen Osmond, SA 5064/Australie (1 aut., 4 aut.); Soil and Land Systems, University of Adelaide, PMB 1/Glen Osmond, SA 5064/Australie (1 aut., 4 aut.); IRD UMR LISAH, Place Viala Bât 24/34060, Montpellier/France (2 aut.); Sansom Institute, School of Pharmacy and Medical Sciences, University of South Australia, North Terrace/Adelaide, SA 5000/Australie (3 aut.) |
| DT : | Publication en série; Papier de recherche; Niveau analytique |
| SO : | Chemosphere : (Oxford); ISSN 0045-6535; Coden CMSHAF; Royaume-Uni; Da. 2006; Vol. 65; No. 11; Pp. 2253-2259; Bibl. 34 ref. |
| LA : | Anglais |
| EA : | The recognition of pharmaceuticals as significant environmental contaminants has only been a recent phenomenon. Therefore there is a paucity of data relating to the fate and effects of pharmaceuticals once they enter an aquatic receiving system. The amount of work that needs to be done in terms of risk assessment for pharmaceuticals required by regulatory agencies is substantial. This paper has determined the environmental partitioning coefficient (Kd) of 13 diverse human pharmaceuticals in three model systems of differing combinations of solid phases and solutions. The Kd values were then compared with distribution values of the pharmaceuticals in the human body determined from pharmacological studies. This was done to assess the functional relationship between Kd and distribution values in the human body (VD). Kd values ranged from 3 to 2450 L kg-1. Regression coefficients ranged from r2 = 0.62-0.72, indicating that VD values are a useful indicator for the Kd values of the tested pharmaceuticals within the batch sorption systems. The relationship between Kd and VD should therefore be further explored to determine whether this relationship can be applied to a broader range of pharmaceuticals in more diverse environmental systems. Exploiting available human pharmacological data in such a way would be of great benefit in prioritising human pharmaceuticals as environmental contaminants in the risk assessment process. |
| CC : | 001D16A04F; 001E01O04; 002A14D05A; 226B04 |
| FD : | Médicament; Médecine; Pollution eau; Devenir polluant; Impact environnement; Evaluation risque; Ecotoxicologie; Partage phase; Coefficient partage; Sorption; Pharmacocinétique |
| FG : | Milieu aquatique; Composé organique |
| ED : | Drug; Medicine; Water pollution; Pollutant behavior; Environment impact; Risk assessment; Ecotoxicology; Phase partition; Partition coefficient; Sorption; Pharmacokinetics |
| EG : | Aquatic environment; Organic compounds |
| SD : | Medicamento; Medicina; Contaminación agua; Evolución contaminante; Impacto medio ambiente; Ecotoxicología; Repartición fase; Coeficiente repartición; Sorción; Farmacocinética |
| LO : | INIST-15565.354000143173180430 |
| ID : | 07-0057848 |
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A." last="Saison">Carine L. A. Saison</name><affiliation><inist:fA14 i1="03"><s1>IRD UMR LISAH, Place Viala Bât 24</s1><s2>34060, Montpellier</s2><s3>FRA</s3><sZ>2 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Williams, Desmond B" sort="Williams, Desmond B" uniqKey="Williams D" first="Desmond B." last="Williams">Desmond B. Williams</name><affiliation><inist:fA14 i1="04"><s1>Sansom Institute, School of Pharmacy and Medical Sciences, University of South Australia, North Terrace</s1><s2>Adelaide, SA 5000</s2><s3>AUS</s3><sZ>3 aut.</sZ></inist:fA14></affiliation></author><author><name sortKey="Kookana, Rai S" sort="Kookana, Rai S" uniqKey="Kookana R" first="Rai S." last="Kookana">Rai S. Kookana</name><affiliation><inist:fA14 i1="01"><s1>CSIRO Land and Water, PMB 2</s1><s2>Glen Osmond, SA 5064</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation><affiliation><inist:fA14 i1="02"><s1>Soil and Land Systems, University of Adelaide, PMB 1</s1><s2>Glen Osmond, SA 5064</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ></inist:fA14></affiliation></author></analytic><series><title level="j" type="main">Chemosphere : (Oxford)</title><title level="j" type="abbreviated">Chemosphere : (Oxf.)</title><idno type="ISSN">0045-6535</idno><imprint><date when="2006">2006</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Chemosphere : (Oxford)</title><title level="j" type="abbreviated">Chemosphere : (Oxf.)</title><idno type="ISSN">0045-6535</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Drug</term><term>Ecotoxicology</term><term>Environment impact</term><term>Medicine</term><term>Partition coefficient</term><term>Pharmacokinetics</term><term>Phase partition</term><term>Pollutant behavior</term><term>Risk assessment</term><term>Sorption</term><term>Water pollution</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Médicament</term><term>Médecine</term><term>Pollution eau</term><term>Devenir polluant</term><term>Impact environnement</term><term>Evaluation risque</term><term>Ecotoxicologie</term><term>Partage phase</term><term>Coefficient partage</term><term>Sorption</term><term>Pharmacocinétique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The recognition of pharmaceuticals as significant environmental contaminants has only been a recent phenomenon. Therefore there is a paucity of data relating to the fate and effects of pharmaceuticals once they enter an aquatic receiving system. The amount of work that needs to be done in terms of risk assessment for pharmaceuticals required by regulatory agencies is substantial. This paper has determined the environmental partitioning coefficient (K<sub>d</sub>) of 13 diverse human pharmaceuticals in three model systems of differing combinations of solid phases and solutions. The K<sub>d</sub> values were then compared with distribution values of the pharmaceuticals in the human body determined from pharmacological studies. This was done to assess the functional relationship between K<sub>d</sub> and distribution values in the human body (V<sub>D</sub>). K<sub>d</sub> values ranged from 3 to 2450 L kg<sup>-1</sup>. Regression coefficients ranged from r<sup>2</sup> = 0.62-0.72, indicating that V<sub>D</sub> values are a useful indicator for the K<sub>d</sub> values of the tested pharmaceuticals within the batch sorption systems. The relationship between K<sub>d</sub> and V<sub>D</sub> should therefore be further explored to determine whether this relationship can be applied to a broader range of pharmaceuticals in more diverse environmental systems. Exploiting available human pharmacological data in such a way would be of great benefit in prioritising human pharmaceuticals as environmental contaminants in the risk assessment process.</div></front></TEI><inist><standard h6="B"><pA><fA01 i1="01" i2="1"><s0>0045-6535</s0></fA01><fA02 i1="01"><s0>CMSHAF</s0></fA02><fA03 i2="1"><s0>Chemosphere : (Oxf.)</s0></fA03><fA05><s2>65</s2></fA05><fA06><s2>11</s2></fA06><fA08 i1="01" i2="1" l="ENG"><s1>Can aquatic distribution of human pharmaceuticals be related to pharmacological data?</s1></fA08><fA11 i1="01" i2="1"><s1>WILLIAMS (Michael)</s1></fA11><fA11 i1="02" i2="1"><s1>SAISON (Carine L. A.)</s1></fA11><fA11 i1="03" i2="1"><s1>WILLIAMS (Desmond B.)</s1></fA11><fA11 i1="04" i2="1"><s1>KOOKANA (Rai S.)</s1></fA11><fA14 i1="01"><s1>CSIRO Land and Water, PMB 2</s1><s2>Glen Osmond, SA 5064</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ></fA14><fA14 i1="02"><s1>Soil and Land Systems, University of Adelaide, PMB 1</s1><s2>Glen Osmond, SA 5064</s2><s3>AUS</s3><sZ>1 aut.</sZ><sZ>4 aut.</sZ></fA14><fA14 i1="03"><s1>IRD UMR LISAH, Place Viala Bât 24</s1><s2>34060, Montpellier</s2><s3>FRA</s3><sZ>2 aut.</sZ></fA14><fA14 i1="04"><s1>Sansom Institute, School of Pharmacy and Medical Sciences, University of South Australia, North Terrace</s1><s2>Adelaide, SA 5000</s2><s3>AUS</s3><sZ>3 aut.</sZ></fA14><fA20><s1>2253-2259</s1></fA20><fA21><s1>2006</s1></fA21><fA23 i1="01"><s0>ENG</s0></fA23><fA43 i1="01"><s1>INIST</s1><s2>15565</s2><s5>354000143173180430</s5></fA43><fA44><s0>0000</s0><s1>© 2007 INIST-CNRS. All rights reserved.</s1></fA44><fA45><s0>34 ref.</s0></fA45><fA47 i1="01" i2="1"><s0>07-0057848</s0></fA47><fA60><s1>P</s1><s3>PR</s3></fA60><fA61><s0>A</s0></fA61><fA64 i1="01" i2="1"><s0>Chemosphere : (Oxford)</s0></fA64><fA66 i1="01"><s0>GBR</s0></fA66><fC01 i1="01" l="ENG"><s0>The recognition of pharmaceuticals as significant environmental contaminants has only been a recent phenomenon. Therefore there is a paucity of data relating to the fate and effects of pharmaceuticals once they enter an aquatic receiving system. The amount of work that needs to be done in terms of risk assessment for pharmaceuticals required by regulatory agencies is substantial. This paper has determined the environmental partitioning coefficient (K<sub>d</sub>) of 13 diverse human pharmaceuticals in three model systems of differing combinations of solid phases and solutions. The K<sub>d</sub> values were then compared with distribution values of the pharmaceuticals in the human body determined from pharmacological studies. This was done to assess the functional relationship between K<sub>d</sub> and distribution values in the human body (V<sub>D</sub>). K<sub>d</sub> values ranged from 3 to 2450 L kg<sup>-1</sup>. Regression coefficients ranged from r<sup>2</sup> = 0.62-0.72, indicating that V<sub>D</sub> values are a useful indicator for the K<sub>d</sub> values of the tested pharmaceuticals within the batch sorption systems. The relationship between K<sub>d</sub> and V<sub>D</sub> should therefore be further explored to determine whether this relationship can be applied to a broader range of pharmaceuticals in more diverse environmental systems. Exploiting available human pharmacological data in such a way would be of great benefit in prioritising human pharmaceuticals as environmental contaminants in the risk assessment process.</s0></fC01><fC02 i1="01" i2="X"><s0>001D16A04F</s0></fC02><fC02 i1="02" i2="2"><s0>001E01O04</s0></fC02><fC02 i1="03" i2="X"><s0>002A14D05A</s0></fC02><fC02 i1="04" i2="2"><s0>226B04</s0></fC02><fC03 i1="01" i2="X" l="FRE"><s0>Médicament</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="ENG"><s0>Drug</s0><s5>01</s5></fC03><fC03 i1="01" i2="X" l="SPA"><s0>Medicamento</s0><s5>01</s5></fC03><fC03 i1="02" i2="X" l="FRE"><s0>Médecine</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="ENG"><s0>Medicine</s0><s5>02</s5></fC03><fC03 i1="02" i2="X" l="SPA"><s0>Medicina</s0><s5>02</s5></fC03><fC03 i1="03" i2="X" l="FRE"><s0>Pollution eau</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="ENG"><s0>Water pollution</s0><s5>03</s5></fC03><fC03 i1="03" i2="X" l="SPA"><s0>Contaminación agua</s0><s5>03</s5></fC03><fC03 i1="04" i2="X" l="FRE"><s0>Devenir polluant</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="ENG"><s0>Pollutant behavior</s0><s5>04</s5></fC03><fC03 i1="04" i2="X" l="SPA"><s0>Evolución contaminante</s0><s5>04</s5></fC03><fC03 i1="05" i2="X" l="FRE"><s0>Impact environnement</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="ENG"><s0>Environment impact</s0><s5>05</s5></fC03><fC03 i1="05" i2="X" l="SPA"><s0>Impacto medio ambiente</s0><s5>05</s5></fC03><fC03 i1="06" i2="3" l="FRE"><s0>Evaluation risque</s0><s5>06</s5></fC03><fC03 i1="06" i2="3" l="ENG"><s0>Risk assessment</s0><s5>06</s5></fC03><fC03 i1="07" i2="X" l="FRE"><s0>Ecotoxicologie</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="ENG"><s0>Ecotoxicology</s0><s5>07</s5></fC03><fC03 i1="07" i2="X" l="SPA"><s0>Ecotoxicología</s0><s5>07</s5></fC03><fC03 i1="08" i2="X" l="FRE"><s0>Partage phase</s0><s5>08</s5></fC03><fC03 i1="08" i2="X" l="ENG"><s0>Phase partition</s0><s5>08</s5></fC03><fC03 i1="08" i2="X" l="SPA"><s0>Repartición fase</s0><s5>08</s5></fC03><fC03 i1="09" i2="X" l="FRE"><s0>Coefficient partage</s0><s5>09</s5></fC03><fC03 i1="09" i2="X" l="ENG"><s0>Partition coefficient</s0><s5>09</s5></fC03><fC03 i1="09" i2="X" l="SPA"><s0>Coeficiente repartición</s0><s5>09</s5></fC03><fC03 i1="10" i2="X" l="FRE"><s0>Sorption</s0><s5>10</s5></fC03><fC03 i1="10" i2="X" l="ENG"><s0>Sorption</s0><s5>10</s5></fC03><fC03 i1="10" i2="X" l="SPA"><s0>Sorción</s0><s5>10</s5></fC03><fC03 i1="11" i2="X" l="FRE"><s0>Pharmacocinétique</s0><s5>11</s5></fC03><fC03 i1="11" i2="X" l="ENG"><s0>Pharmacokinetics</s0><s5>11</s5></fC03><fC03 i1="11" i2="X" l="SPA"><s0>Farmacocinética</s0><s5>11</s5></fC03><fC07 i1="01" i2="X" l="FRE"><s0>Milieu aquatique</s0><s5>12</s5></fC07><fC07 i1="01" i2="X" l="ENG"><s0>Aquatic environment</s0><s5>12</s5></fC07><fC07 i1="01" i2="X" l="SPA"><s0>Medio acuático</s0><s5>12</s5></fC07><fC07 i1="02" i2="X" l="FRE"><s0>Composé organique</s0><s2>NA</s2><s5>43</s5></fC07><fC07 i1="02" i2="X" l="ENG"><s0>Organic compounds</s0><s2>NA</s2><s5>43</s5></fC07><fC07 i1="02" i2="X" l="SPA"><s0>Compuesto orgánico</s0><s2>NA</s2><s5>43</s5></fC07><fN21><s1>036</s1></fN21></pA></standard><server><NO>PASCAL 07-0057848 INIST</NO><ET>Can aquatic distribution of human pharmaceuticals be related to pharmacological data?</ET><AU>WILLIAMS (Michael); SAISON (Carine L. A.); WILLIAMS (Desmond B.); KOOKANA (Rai S.)</AU><AF>CSIRO Land and Water, PMB 2/Glen Osmond, SA 5064/Australie (1 aut., 4 aut.); Soil and Land Systems, University of Adelaide, PMB 1/Glen Osmond, SA 5064/Australie (1 aut., 4 aut.); IRD UMR LISAH, Place Viala Bât 24/34060, Montpellier/France (2 aut.); Sansom Institute, School of Pharmacy and Medical Sciences, University of South Australia, North Terrace/Adelaide, SA 5000/Australie (3 aut.)</AF><DT>Publication en série; Papier de recherche; Niveau analytique</DT><SO>Chemosphere : (Oxford); ISSN 0045-6535; Coden CMSHAF; Royaume-Uni; Da. 2006; Vol. 65; No. 11; Pp. 2253-2259; Bibl. 34 ref.</SO><LA>Anglais</LA><EA>The recognition of pharmaceuticals as significant environmental contaminants has only been a recent phenomenon. Therefore there is a paucity of data relating to the fate and effects of pharmaceuticals once they enter an aquatic receiving system. The amount of work that needs to be done in terms of risk assessment for pharmaceuticals required by regulatory agencies is substantial. This paper has determined the environmental partitioning coefficient (K<sub>d</sub>) of 13 diverse human pharmaceuticals in three model systems of differing combinations of solid phases and solutions. The K<sub>d</sub> values were then compared with distribution values of the pharmaceuticals in the human body determined from pharmacological studies. This was done to assess the functional relationship between K<sub>d</sub> and distribution values in the human body (V<sub>D</sub>). K<sub>d</sub> values ranged from 3 to 2450 L kg<sup>-1</sup>. Regression coefficients ranged from r<sup>2</sup> = 0.62-0.72, indicating that V<sub>D</sub> values are a useful indicator for the K<sub>d</sub> values of the tested pharmaceuticals within the batch sorption systems. The relationship between K<sub>d</sub> and V<sub>D</sub> should therefore be further explored to determine whether this relationship can be applied to a broader range of pharmaceuticals in more diverse environmental systems. Exploiting available human pharmacological data in such a way would be of great benefit in prioritising human pharmaceuticals as environmental contaminants in the risk assessment process.</EA><CC>001D16A04F; 001E01O04; 002A14D05A; 226B04</CC><FD>Médicament; Médecine; Pollution eau; Devenir polluant; Impact environnement; Evaluation risque; Ecotoxicologie; Partage phase; Coefficient partage; Sorption; Pharmacocinétique</FD><FG>Milieu aquatique; Composé organique</FG><ED>Drug; Medicine; Water pollution; Pollutant behavior; Environment impact; Risk assessment; Ecotoxicology; Phase partition; Partition coefficient; Sorption; Pharmacokinetics</ED><EG>Aquatic environment; Organic compounds</EG><SD>Medicamento; Medicina; Contaminación agua; Evolución contaminante; Impacto medio ambiente; Ecotoxicología; Repartición fase; Coeficiente repartición; Sorción; Farmacocinética</SD><LO>INIST-15565.354000143173180430</LO><ID>07-0057848</ID></server></inist></record>Pour manipuler ce document sous Unix (Dilib)
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