Evidence map›Paper›PMID 29179034›Full record

ArticleEnvironment international2018

Effects of exposure to water disinfection by-products in a swimming pool: A metabolome-wide association study.

Karin van Veldhoven, Pekka Keski-Rahkonen, Dinesh K Barupal, Cristina M Villanueva, Laia Font-Ribera, Augustin Scalbert, Barbara Bodinier, Joan O Grimalt, Christian Zwiener, Jelle Vlaanderen and 5 more

Abstract read
In one paragraph

Article in Environment international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

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  14. The Occurrence ofEnvironmental health insights · 2021
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Karin van VeldhovenMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Pekka Keski-RahkonenInternational Agency for Research on Cancer (IARC), Lyon, France.
Dinesh K BarupalInternational Agency for Research on Cancer (IARC), Lyon, France.
Cristina M VillanuevaISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Laia Font-RiberaISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.
Augustin ScalbertInternational Agency for Research on Cancer (IARC), Lyon, France.
Barbara BodinierMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom.
Joan O GrimaltDepartment of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDÆA-CSIC), Barcelona, Spain.
Christian ZwienerCenter for Applied Geoscience, Environmental Analytical Chemistry, University of Tuebingen, Tuebingen, Germany.
Jelle VlaanderenInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
Lützen PortengenInstitute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
Roel VermeulenMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
Paolo VineisMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Italian Insitute for Genomic Medicine (IIGM), Turin, Italy.
Marc Chadeau-HyamMRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands. Electronic address: m.chadeau@imperial.ac.uk.
Manolis KogevinasISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.

Funding

Cancer Research UK 22184Medical Research Council MR/L01341X/1World Health Organization 001
6 · The paper itself

Abstract

backgroundExposure to disinfection by-products (DBPs) in drinking water and chlorinated swimming pools are associated with adverse health outcomes, but biological mechanisms remain poorly understood.

objectivesEvaluate short-term changes in metabolic profiles in response to DBP exposure while swimming in a chlorinated pool. MATERIALS AND

methodsThe PISCINA-II study (EXPOsOMICS project) includes 60 volunteers swimming 40min in an indoor pool. Levels of most common DBPs were measured in water and in exhaled breath before and after swimming. Blood samples, collected before and 2h after swimming, were used for metabolic profiling by liquid-chromatography coupled to high-resolution mass-spectrometry. Metabolome-wide association between DBP exposures and each metabolic feature was evaluated using multivariate normal (MVN) models. Sensitivity analyses and compound annotation were conducted.

resultsExposure levels of all DBPs in exhaled breath were higher after the experiment. A total of 6,471 metabolic features were detected and 293 features were associated with at least one DBP in exhaled breath following Bonferroni correction. A total of 333 metabolic features were associated to at least one DBP measured in water or urine. Uptake of DBPs and physical activity were strongly correlated and mutual adjustment reduced the number of statistically significant associations. From the 293 features, 20 could be identified corresponding to 13 metabolites including compounds in the tryptophan metabolism pathway.

conclusionOur study identified numerous molecular changes following a swim in a chlorinated pool. While we could not explicitly evaluate which experiment-related factors induced these associations, molecular characterization highlighted metabolic features associated with exposure changes during swimming.

Indexed as

DisinfectionMetabolomeSwimmingSwimming PoolsAdolescentAdultEnvironmental MonitoringFemaleHalogenationHumansMaleWater Pollutants, ChemicalYoung AdultWater Pollutants, ChemicalBloodDBPsDisinfection by-productsExposomeLC-MSMetabolome

Identifiers

PMID29179034
PMCPMC5786667

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.