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Gracia-Lor E, Castiglioni S, Bade R, Been F, Castrignanò E, Covaci A, González-Mariño I, Hapeshi E, Kasprzyk-Hordern B, Kinyua J, Lai FY, Letzel T, Lopardo L, Meyer MR, O'Brien J, Ramin P, Rousis NI, Rydevik A, Ryu Y, Santos MM, Senta I, Thomaidis NS, Veloutsou S, Yang Z, Zuccato E, Bijlsma L. Measuring biomarkers in wastewater as a new source of epidemiological information: Current state and future perspectives. ENVIRONMENT INTERNATIONAL 2017; 99:131-150. [PMID: 28038971 DOI: 10.1016/j.envint.2016.12.016] [Citation(s) in RCA: 159] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Revised: 12/12/2016] [Accepted: 12/16/2016] [Indexed: 05/19/2023]
Abstract
The information obtained from the chemical analysis of specific human excretion products (biomarkers) in urban wastewater can be used to estimate the exposure or consumption of the population under investigation to a defined substance. A proper biomarker can provide relevant information about lifestyle habits, health and wellbeing, but its selection is not an easy task as it should fulfil several specific requirements in order to be successfully employed. This paper aims to summarize the current knowledge related to the most relevant biomarkers used so far. In addition, some potential wastewater biomarkers that could be used for future applications were evaluated. For this purpose, representative chemical classes have been chosen and grouped in four main categories: (i) those that provide estimates of lifestyle factors and substance use, (ii) those used to estimate the exposure to toxicants present in the environment and food, (iii) those that have the potential to provide information about public health and illness and (iv) those used to estimate the population size. To facilitate the evaluation of the eligibility of a compound as a biomarker, information, when available, on stability in urine and wastewater and pharmacokinetic data (i.e. metabolism and urinary excretion profile) has been reviewed. Finally, several needs and recommendations for future research are proposed.
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Affiliation(s)
- Emma Gracia-Lor
- Research Institute for Pesticides and Water, Universitat Jaume I, Castellon, Spain; IRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Department of Environmental Health Sciences, Milan, Italy.
| | - Sara Castiglioni
- IRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Department of Environmental Health Sciences, Milan, Italy.
| | - Richard Bade
- Research Institute for Pesticides and Water, Universitat Jaume I, Castellon, Spain.
| | - Frederic Been
- Toxicological Center, University of Antwerp, 2610 Wilrijk, Belgium.
| | - Erika Castrignanò
- Deparment of Chemistry, Faculty of Science, University of Bath, Bath BA2 7AY, UK.
| | - Adrian Covaci
- Toxicological Center, University of Antwerp, 2610 Wilrijk, Belgium.
| | - Iria González-Mariño
- IRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Department of Environmental Health Sciences, Milan, Italy.
| | - Evroula Hapeshi
- NIREAS-International Water Research Center, University of Cyprus, P.O. Box 20537, 1678 Nicosia, Cyprus.
| | | | - Juliet Kinyua
- Toxicological Center, University of Antwerp, 2610 Wilrijk, Belgium.
| | - Foon Yin Lai
- Toxicological Center, University of Antwerp, 2610 Wilrijk, Belgium.
| | - Thomas Letzel
- Analytical Group, Chair of Urban Water Systems Engineering, Technical University of Munich, Germany.
| | - Luigi Lopardo
- Deparment of Chemistry, Faculty of Science, University of Bath, Bath BA2 7AY, UK.
| | - Markus R Meyer
- Department of Experimental and Clinical Toxicology, Institute of Experimental and Clinical Pharmacology and Toxicology, Saarland University, 66421 Homburg, Germany.
| | - Jake O'Brien
- National Research Center for Environmental Toxicology, The University of Queensland, Coopers Plains, QLD 4108, Australia.
| | - Pedram Ramin
- Dept. of Environmental Engineering, Technical University of Denmark, Denmark.
| | - Nikolaos I Rousis
- IRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Department of Environmental Health Sciences, Milan, Italy.
| | - Axel Rydevik
- Deparment of Chemistry, Faculty of Science, University of Bath, Bath BA2 7AY, UK.
| | - Yeonsuk Ryu
- Ecotoxicology and Risk Assessment, Norwegian Institute for Water Research, Oslo, Norway.
| | - Miguel M Santos
- CIMAR/CIIMAR, LA-Interdisciplinary Centre for marine and Environmental Research, University of Porto, Portugal; FCUP-Dept of Biology, Faculty of Sciences, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal.
| | - Ivan Senta
- Rudjer Boskovic Institute, Zagreb, Croatia.
| | - Nikolaos S Thomaidis
- Laboratory of Analytical Chemistry, Department of Chemistry, National and Kapodistrian University of Athens, Panepistimiopolis Zografou, 15771 Athens, Greece.
| | - Sofia Veloutsou
- Analytical Group, Chair of Urban Water Systems Engineering, Technical University of Munich, Germany.
| | - Zhugen Yang
- Division of Biomedical Engineering, School of Engineering, University of Glasgow, G128LT Glasgow, United Kingdom.
| | - Ettore Zuccato
- IRCCS-Istituto di Ricerche Farmacologiche "Mario Negri", Department of Environmental Health Sciences, Milan, Italy.
| | - Lubertus Bijlsma
- Research Institute for Pesticides and Water, Universitat Jaume I, Castellon, Spain.
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Salvatore S, Røislien J, Baz-Lomba JA, Bramness JG. Assessing prescription drug abuse using functional principal component analysis (FPCA) of wastewater data. Pharmacoepidemiol Drug Saf 2016; 26:320-326. [PMID: 27862608 DOI: 10.1002/pds.4127] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 08/29/2016] [Accepted: 10/16/2016] [Indexed: 11/11/2022]
Abstract
BACKGROUND Wastewater-based epidemiology is an alternative method for estimating the collective drug use in a community. We applied functional data analysis, a statistical framework developed for analysing curve data, to investigate weekly temporal patterns in wastewater measurements of three prescription drugs with known abuse potential: methadone, oxazepam and methylphenidate, comparing them to positive and negative control drugs. METHODS Sewage samples were collected in February 2014 from a wastewater treatment plant in Oslo, Norway. The weekly pattern of each drug was extracted by fitting of generalized additive models, using trigonometric functions to model the cyclic behaviour. From the weekly component, the main temporal features were then extracted using functional principal component analysis. Results are presented through the functional principal components (FPCs) and corresponding FPC scores. RESULTS Clinically, the most important weekly feature of the wastewater-based epidemiology data was the second FPC, representing the difference between average midweek level and a peak during the weekend, representing possible recreational use of a drug in the weekend. Estimated scores on this FPC indicated recreational use of methylphenidate, with a high weekend peak, but not for methadone and oxazepam. CONCLUSION The functional principal component analysis uncovered clinically important temporal features of the weekly patterns of the use of prescription drugs detected from wastewater analysis. This may be used as a post-marketing surveillance method to monitor prescription drugs with abuse potential. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Stefania Salvatore
- Norwegian Centre for Addiction Research, University of Oslo, Oslo, Norway
| | - Jo Røislien
- Norwegian Centre for Addiction Research, University of Oslo, Oslo, Norway.,Department of Health Studies, University of Stavanger, Stavanger, Norway
| | - Jose A Baz-Lomba
- Norwegian Centre for Addiction Research, University of Oslo, Oslo, Norway.,Norwegian Institute for Water Research, Oslo, Norway
| | - Jørgen G Bramness
- Norwegian Centre for Addiction Research, University of Oslo, Oslo, Norway
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Loos G, Van Schepdael A, Cabooter D. Quantitative mass spectrometry methods for pharmaceutical analysis. PHILOSOPHICAL TRANSACTIONS. SERIES A, MATHEMATICAL, PHYSICAL, AND ENGINEERING SCIENCES 2016; 374:20150366. [PMID: 27644982 PMCID: PMC5031633 DOI: 10.1098/rsta.2015.0366] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/25/2016] [Indexed: 05/04/2023]
Abstract
Quantitative pharmaceutical analysis is nowadays frequently executed using mass spectrometry. Electrospray ionization coupled to a (hybrid) triple quadrupole mass spectrometer is generally used in combination with solid-phase extraction and liquid chromatography. Furthermore, isotopically labelled standards are often used to correct for ion suppression. The challenges in producing sensitive but reliable quantitative data depend on the instrumentation, sample preparation and hyphenated techniques. In this contribution, different approaches to enhance the ionization efficiencies using modified source geometries and improved ion guidance are provided. Furthermore, possibilities to minimize, assess and correct for matrix interferences caused by co-eluting substances are described. With the focus on pharmaceuticals in the environment and bioanalysis, different separation techniques, trends in liquid chromatography and sample preparation methods to minimize matrix effects and increase sensitivity are discussed. Although highly sensitive methods are generally aimed for to provide automated multi-residue analysis, (less sensitive) miniaturized set-ups have a great potential due to their ability for in-field usage.This article is part of the themed issue 'Quantitative mass spectrometry'.
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Affiliation(s)
- Glenn Loos
- KU Leuven, Department of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, Herestraat 49, 3000 Leuven, Belgium
| | - Ann Van Schepdael
- KU Leuven, Department of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, Herestraat 49, 3000 Leuven, Belgium
| | - Deirdre Cabooter
- KU Leuven, Department of Pharmaceutical and Pharmacological Sciences, Pharmaceutical Analysis, Herestraat 49, 3000 Leuven, Belgium
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