Modeling the impact of urban and hospital eco-exposomes on antibiotic-resistance dynamics in wastewaters
Paul Henriot
(1, 2, 3)
,
Elena Buelow
(4, 5)
,
Fabienne Petit
(6, 7)
,
Marie-Cécile Ploy
(4, 8)
,
Christophe Dagot
(4, 8)
,
Lulla Opatowski
(1, 9, 3)
1
EMAE -
Epidémiologie et modélisation de la résistance aux antimicrobiens - Epidemiology and modelling of bacterial escape to antimicrobials
2 MESuRS - Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires
3 CESP - Centre de recherche en épidémiologie et santé des populations
4 RESINFIT - Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques
5 TIMC - Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525
6 M2C - Morphodynamique Continentale et Côtière
7 METIS - Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols
8 RESINFIT - Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques
9 2I - Infection et inflammation
2 MESuRS - Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires
3 CESP - Centre de recherche en épidémiologie et santé des populations
4 RESINFIT - Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques
5 TIMC - Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525
6 M2C - Morphodynamique Continentale et Côtière
7 METIS - Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols
8 RESINFIT - Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques
9 2I - Infection et inflammation
Paul Henriot
- Fonction : Auteur correspondant
Fabienne Petit
- Fonction : Auteur
- PersonId : 181334
- IdHAL : fabienne-petit
- IdRef : 07732790X
Résumé
The emergence and selection of antibiotic resistance is a major public health problem worldwide. The presence of antibiotic-resistant bacteria (ARBs) in natural and anthropogenic environments threatens the sustainability of efforts to reduce resistance in human and animal populations. Here, we use mathematical modeling of the selective effect of antibiotics and contaminants on the dynamics of bacterial resistance in water to analyze longitudinal spatio-temporal data collected in hospital and urban wastewater between 2012 and 2015. Samples were collected monthly during the study period at four different sites in Haute-Savoie, France: hospital and urban wastewater, before and after water treatment plants. Three different categories of exposure variables were collected simultaneously: 1) heavy metals, 2) antibiotics and 3) surfactants for a total of 13 drugs/molecules; in parallel to the normalized abundance of 88 individual genes and mobile genetic elements, mostly conferring resistance to antibiotics. A simple hypothesis-driven model describing weekly antibiotic resistance gene (ARG) dynamics was proposed to fit the available data, assuming that normalized gene abundance is proportional to antibiotic resistant bacteria (ARB) populations in water. The detected compounds were found to influence the dynamics of 17 genes found at multiple sites. While mercury and vancomycin were associated with increased ARG and affected the dynamics of 10 and 12 identified genes respectively, surfactants antagonistically affected the dynamics of three genes. The models proposed here make it possible to analyze the relationship between the persistence of resistance genes in the aquatic environment and specific compounds associated with human activities from longitudinal data. Our analysis of French data over 2012–2015 identified mercury and vancomycin as co-selectors for some ARGs.
Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue (article de synthèse) |
Titre |
en
Modeling the impact of urban and hospital eco-exposomes on antibiotic-resistance dynamics in wastewaters
|
Résumé |
en
The emergence and selection of antibiotic resistance is a major public health problem worldwide. The presence of antibiotic-resistant bacteria (ARBs) in natural and anthropogenic environments threatens the sustainability of efforts to reduce resistance in human and animal populations. Here, we use mathematical modeling of the selective effect of antibiotics and contaminants on the dynamics of bacterial resistance in water to analyze longitudinal spatio-temporal data collected in hospital and urban wastewater between 2012 and 2015. Samples were collected monthly during the study period at four different sites in Haute-Savoie, France: hospital and urban wastewater, before and after water treatment plants. Three different categories of exposure variables were collected simultaneously: 1) heavy metals, 2) antibiotics and 3) surfactants for a total of 13 drugs/molecules; in parallel to the normalized abundance of 88 individual genes and mobile genetic elements, mostly conferring resistance to antibiotics. A simple hypothesis-driven model describing weekly antibiotic resistance gene (ARG) dynamics was proposed to fit the available data, assuming that normalized gene abundance is proportional to antibiotic resistant bacteria (ARB) populations in water. The detected compounds were found to influence the dynamics of 17 genes found at multiple sites. While mercury and vancomycin were associated with increased ARG and affected the dynamics of 10 and 12 identified genes respectively, surfactants antagonistically affected the dynamics of three genes. The models proposed here make it possible to analyze the relationship between the persistence of resistance genes in the aquatic environment and specific compounds associated with human activities from longitudinal data. Our analysis of French data over 2012–2015 identified mercury and vancomycin as co-selectors for some ARGs.
|
Auteur(s) |
Paul Henriot
1, 2, 3
, Elena Buelow
4, 5
, Fabienne Petit
6, 7
, Marie-Cécile Ploy
4, 8
, Christophe Dagot
4, 8
, Lulla Opatowski
1, 9, 3
1
EMAE -
Epidémiologie et modélisation de la résistance aux antimicrobiens - Epidemiology and modelling of bacterial escape to antimicrobials
( 1090749 )
- 25-28 rue du Docteur Roux, 75724 Paris Cedex 15
- France
2
MESuRS -
Laboratoire Modélisation, épidémiologie et surveillance des risques sanitaires
( 266752 )
- 292 rue Saint-Martin F-75141 Paris Cédex 03
- France
3
CESP -
Centre de recherche en épidémiologie et santé des populations
( 1051097 )
- 16 avenue Paul Vaillant Couturier 94807 Villejuif Cedex, France
- France
4
RESINFIT -
Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques
( 185362 )
- Université de Limoges - Faculté de Médecine - 2 rue du Docteur Marcland 87025 Limoges Cedex
- France
5
TIMC -
Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525
( 1043049 )
- Domaine de la Merci, 38706 La Tronche, France
- France
6
M2C -
Morphodynamique Continentale et Côtière
( 847 )
- 24 rue des Tilleuls 14000 Caen
- France
7
METIS -
Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols
( 542016 )
- Sorbonne Université, Case courrier 105, 4 place Jussieu, 75005 Paris
- France
8
RESINFIT -
Anti-infectieux : supports moléculaires des résistances et innovations thérapeutiques
( 1088974 )
- Faculté de Médecine - 2 rue du Docteur Marcland 87025 Limoges Cedex
- France
9
2I -
Infection et inflammation
( 470602 )
- Batiment Simone Veil - 2 avenue de la source de la Bièvre 78180 Montigny-le-Bretonneux
- France
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Langue du document |
Anglais
|
Licence |
Paternité - Pas d'utilisation commerciale - Pas de modification
|
Nom de la revue |
|
Date de publication |
2024-05
|
Volume |
924
|
Page/Identifiant |
171643
|
Projet(s) ANR |
|
Financement |
|
Domaine(s) |
|
Mots-clés |
en
Mathematical modeling, Antibiotic resistance, Effluents, Dynamics, Eco-exposome
|
DOI | 10.1016/j.scitotenv.2024.171643 |
Pubmed Id | 38471588 |
Origine :
Fichiers éditeurs autorisés sur une archive ouverte
Licence : Paternité - Pas d'utilisation commerciale - Pas de modification - CC BY 4.0
Licence : Paternité - Pas d'utilisation commerciale - Pas de modification - CC BY 4.0
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