Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13617
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Gängler, Stephanie | - |
dc.contributor.author | Waldenberger, Melanie | - |
dc.contributor.author | Artati, Anna | - |
dc.contributor.author | Adamski, Jerzy | - |
dc.contributor.author | Van Bolhuis, Jurjen N. | - |
dc.contributor.author | Sørgjerd, Elin Pettersen | - |
dc.contributor.author | Van Vliet-Ostaptchouk, Jana V. | - |
dc.contributor.author | Makris, Konstantinos C. | - |
dc.date.accessioned | 2019-05-13T20:19:19Z | - |
dc.date.available | 2019-05-13T20:19:19Z | - |
dc.date.issued | 2019-04-08 | - |
dc.identifier.citation | Metabolomics, 2019, vol. 15, no. 4 | en_US |
dc.identifier.issn | 15733882 | - |
dc.description.abstract | Introduction: Environmental chemicals acting as metabolic disruptors have been implicated with diabetogenesis, but evidence is weak among short-lived chemicals, such as disinfection byproducts (trihalomethanes, THM composed of chloroform, TCM and brominated trihalomethanes, BrTHM). Objectives: We assessed whether THM were associated with type 2 diabetes (T2D) and we explored alterations in metabolic profiles due to THM exposures or T2D status. Methods: A prospective 1:1 matched case–control study (n = 430) and a cross-sectional 1:1 matched case–control study (n = 362) nested within the HUNT cohort (Norway) and the Lifelines cohort (Netherlands), respectively, were set up. Urinary biomarkers of THM exposure and mass spectrometry-based serum metabolomics were measured. Associations between THM, clinical markers, metabolites and disease status were evaluated using logistic regressions with Least Absolute Shrinkage and Selection Operator procedure. Results: Low median THM exposures (ng/g, IQR) were measured in both cohorts (cases and controls of HUNT and Lifelines, respectively, 193 (76, 470), 208 (77, 502) and 292 (162, 595), 342 (180, 602). Neither BrTHM (OR = 0.87; 95% CI: 0.67, 1.11 | OR = 1.09; 95% CI: 0.73, 1.61), nor TCM (OR = 1.03; 95% CI: 0.88, 1.2 | OR = 1.03; 95% CI: 0.79, 1.35) were associated with incident or prevalent T2D, respectively. Metabolomics showed 48 metabolites associated with incident T2D after adjusting for sex, age and BMI, whereas a total of 244 metabolites were associated with prevalent T2D. A total of 34 metabolites were associated with the progression of T2D. In data driven logistic regression, novel biomarkers, such as cinnamoylglycine or 1-methylurate, being protective of T2D were identified. The incident T2D risk prediction model (HUNT) predicted well incident Lifelines cases (AUC = 0.845; 95% CI: 0.72, 0.97). Conclusion: Such exposome-based approaches in cohort-nested studies are warranted to better understand the environmental origins of diabetogenesis. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.relation.ispartof | Metabolomics | en_US |
dc.rights | © Springer Nature | en_US |
dc.subject | Type 2 diabetes | en_US |
dc.subject | Metabolomics | en_US |
dc.subject | Disinfection byproducts | en_US |
dc.subject | Trihalomethanes | en_US |
dc.subject | HUNT | en_US |
dc.subject | Lifelines | en_US |
dc.subject | LASSO | en_US |
dc.subject | Brominated disinfection byproducts | en_US |
dc.title | Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts | en_US |
dc.type | Article | en_US |
dc.collaboration | German Research Center for Environmental Health | en_US |
dc.collaboration | German Center for Diabetes Research | en_US |
dc.collaboration | Technical University of Munich | en_US |
dc.collaboration | The Lifelines Cohort | en_US |
dc.collaboration | Norwegian University of Science and Technology | en_US |
dc.collaboration | University of Groningen | en_US |
dc.collaboration | University Medical Center Groningen | en_US |
dc.collaboration | University of Singapore | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.subject.category | Clinical Medicine | en_US |
dc.journals | Subscription | en_US |
dc.country | Cyprus | en_US |
dc.country | Germany | en_US |
dc.country | Netherlands | en_US |
dc.country | Norway | en_US |
dc.country | Singapore | en_US |
dc.subject.field | Medical and Health Sciences | en_US |
dc.publication | Peer Reviewed | en_US |
dc.identifier.doi | 10.1007/s11306-019-1519-0 | en_US |
dc.relation.issue | 4 | en_US |
dc.relation.volume | 15 | en_US |
cut.common.academicyear | 2018-2019 | en_US |
item.openairecristype | http://purl.org/coar/resource_type/c_6501 | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | none | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
crisitem.journal.journalissn | 1573-3890 | - |
crisitem.journal.publisher | Springer Nature | - |
crisitem.author.dept | Department of Rehabilitation Sciences | - |
crisitem.author.faculty | Faculty of Health Sciences | - |
crisitem.author.orcid | 0000-0001-5251-8619 | - |
crisitem.author.parentorg | Faculty of Health Sciences | - |
Appears in Collections: | Άρθρα/Articles |
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