Publication

Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts

Gangler, S., Waldenberger, M., Artati, A., Adamski, J., van Bolhuis, J. N., Sorgjerd, E. P., van Vliet-Ostaptchouk, J. & Makris, K. C., Apr-2019, In : Metabolomics. 15, 4, 16 p., 60.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Gangler, S., Waldenberger, M., Artati, A., Adamski, J., van Bolhuis, J. N., Sorgjerd, E. P., ... Makris, K. C. (2019). Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts. Metabolomics, 15(4), [60]. https://doi.org/10.1007/s11306-019-1519-0

Author

Gangler, Stephanie ; Waldenberger, Melanie ; Artati, Anna ; Adamski, Jerzy ; van Bolhuis, Jurjen N. ; Sorgjerd, Elin Pettersen ; van Vliet-Ostaptchouk, Jana ; Makris, Konstantinos C. / Exposure to disinfection byproducts and risk of type 2 diabetes : a nested case-control study in the HUNT and Lifelines cohorts. In: Metabolomics. 2019 ; Vol. 15, No. 4.

Harvard

Gangler, S, Waldenberger, M, Artati, A, Adamski, J, van Bolhuis, JN, Sorgjerd, EP, van Vliet-Ostaptchouk, J & Makris, KC 2019, 'Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts', Metabolomics, vol. 15, no. 4, 60. https://doi.org/10.1007/s11306-019-1519-0

Standard

Exposure to disinfection byproducts and risk of type 2 diabetes : a nested case-control study in the HUNT and Lifelines cohorts. / Gangler, Stephanie; Waldenberger, Melanie; Artati, Anna; Adamski, Jerzy; van Bolhuis, Jurjen N.; Sorgjerd, Elin Pettersen; van Vliet-Ostaptchouk, Jana; Makris, Konstantinos C.

In: Metabolomics, Vol. 15, No. 4, 60, 04.2019.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Gangler S, Waldenberger M, Artati A, Adamski J, van Bolhuis JN, Sorgjerd EP et al. Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts. Metabolomics. 2019 Apr;15(4). 60. https://doi.org/10.1007/s11306-019-1519-0


BibTeX

@article{1aeaf2d581dc47a383bf22a902ce73d8,
title = "Exposure to disinfection byproducts and risk of type 2 diabetes: a nested case-control study in the HUNT and Lifelines cohorts",
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 vertical bar OR = 1.09; 95{\%} CI: 0.73, 1.61), nor TCM (OR = 1.03; 95{\%} CI: 0.88, 1.2 vertical bar 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.",
keywords = "Type 2 diabetes, Metabolomics, Disinfection byproducts, Trihalomethanes, HUNT, Lifelines, LASSO, Brominated disinfection byproducts, BROMINATED TRIHALOMETHANES, METABOLIC MARKERS, ANALYSIS REVEALS, BIOMARKERS, ASSOCIATION, MELLITUS, URINE, WATER, VARIABILITY, IMPUTATION",
author = "Stephanie Gangler and Melanie Waldenberger and Anna Artati and Jerzy Adamski and {van Bolhuis}, {Jurjen N.} and Sorgjerd, {Elin Pettersen} and {van Vliet-Ostaptchouk}, Jana and Makris, {Konstantinos C.}",
year = "2019",
month = "4",
doi = "10.1007/s11306-019-1519-0",
language = "English",
volume = "15",
journal = "Metabolomics",
issn = "1573-3882",
publisher = "SPRINGER",
number = "4",

}

RIS

TY - JOUR

T1 - Exposure to disinfection byproducts and risk of type 2 diabetes

T2 - a nested case-control study in the HUNT and Lifelines cohorts

AU - Gangler, Stephanie

AU - Waldenberger, Melanie

AU - Artati, Anna

AU - Adamski, Jerzy

AU - van Bolhuis, Jurjen N.

AU - Sorgjerd, Elin Pettersen

AU - van Vliet-Ostaptchouk, Jana

AU - Makris, Konstantinos C.

PY - 2019/4

Y1 - 2019/4

N2 - 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 vertical bar OR = 1.09; 95% CI: 0.73, 1.61), nor TCM (OR = 1.03; 95% CI: 0.88, 1.2 vertical bar 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.

AB - 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 vertical bar OR = 1.09; 95% CI: 0.73, 1.61), nor TCM (OR = 1.03; 95% CI: 0.88, 1.2 vertical bar 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.

KW - Type 2 diabetes

KW - Metabolomics

KW - Disinfection byproducts

KW - Trihalomethanes

KW - HUNT

KW - Lifelines

KW - LASSO

KW - Brominated disinfection byproducts

KW - BROMINATED TRIHALOMETHANES

KW - METABOLIC MARKERS

KW - ANALYSIS REVEALS

KW - BIOMARKERS

KW - ASSOCIATION

KW - MELLITUS

KW - URINE

KW - WATER

KW - VARIABILITY

KW - IMPUTATION

U2 - 10.1007/s11306-019-1519-0

DO - 10.1007/s11306-019-1519-0

M3 - Article

VL - 15

JO - Metabolomics

JF - Metabolomics

SN - 1573-3882

IS - 4

M1 - 60

ER -

ID: 92904894