Cargando…

Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach

Firefighters have elevated rates of urinary tract cancers and other adverse health outcomes, which may be attributable to environmental occupational exposures. Untargeted metabolomics was applied to characterize this suite of environmental exposures and biological changes in response to occupational...

Descripción completa

Detalles Bibliográficos
Autores principales: Furlong, Melissa A., Liu, Tuo, Snider, Justin M., Tfaily, Malak M., Itson, Christian, Beitel, Shawn, Parsawar, Krishna, Keck, Kristen, Galligan, James, Walker, Douglas I., Gulotta, John J., Burgess, Jefferey L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682406/
https://www.ncbi.nlm.nih.gov/pubmed/38012297
http://dx.doi.org/10.1038/s41598-023-47799-x
_version_ 1785150968609898496
author Furlong, Melissa A.
Liu, Tuo
Snider, Justin M.
Tfaily, Malak M.
Itson, Christian
Beitel, Shawn
Parsawar, Krishna
Keck, Kristen
Galligan, James
Walker, Douglas I.
Gulotta, John J.
Burgess, Jefferey L.
author_facet Furlong, Melissa A.
Liu, Tuo
Snider, Justin M.
Tfaily, Malak M.
Itson, Christian
Beitel, Shawn
Parsawar, Krishna
Keck, Kristen
Galligan, James
Walker, Douglas I.
Gulotta, John J.
Burgess, Jefferey L.
author_sort Furlong, Melissa A.
collection PubMed
description Firefighters have elevated rates of urinary tract cancers and other adverse health outcomes, which may be attributable to environmental occupational exposures. Untargeted metabolomics was applied to characterize this suite of environmental exposures and biological changes in response to occupational firefighting. 200 urine samples from 100 firefighters collected at baseline and two to four hours post-fire were analyzed using untargeted liquid-chromatography and high-resolution mass spectrometry. Changes in metabolite abundance after a fire were estimated with fixed effects linear regression, with false discovery rate (FDR) adjustment. Partial least squares discriminant analysis (PLS-DA) was also used, and variable important projection (VIP) scores were extracted. Systemic changes were evaluated using pathway enrichment for highly discriminating metabolites. Metabolome-wide-association-study (MWAS) identified 268 metabolites associated with firefighting activity at FDR q < 0.05. Of these, 20 were annotated with high confidence, including the amino acids taurine, proline, and betaine; the indoles kynurenic acid and indole-3-acetic acid; the known uremic toxins trimethylamine n-oxide and hippuric acid; and the hormone 7a-hydroxytestosterone. Partial least squares discriminant analysis (PLS-DA) additionally implicated choline, cortisol, and other hormones. Significant pathways included metabolism of urea cycle/amino group, alanine and aspartate, aspartate and asparagine, vitamin b3 (nicotinate and nicotinamide), and arginine and proline. Firefighters show a broad metabolic response to fires, including altered excretion of indole compounds and uremic toxins. Implicated pathways and features, particularly uremic toxins, may be important regulators of firefighter’s increased risk for urinary tract cancers.
format Online
Article
Text
id pubmed-10682406
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-106824062023-11-30 Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach Furlong, Melissa A. Liu, Tuo Snider, Justin M. Tfaily, Malak M. Itson, Christian Beitel, Shawn Parsawar, Krishna Keck, Kristen Galligan, James Walker, Douglas I. Gulotta, John J. Burgess, Jefferey L. Sci Rep Article Firefighters have elevated rates of urinary tract cancers and other adverse health outcomes, which may be attributable to environmental occupational exposures. Untargeted metabolomics was applied to characterize this suite of environmental exposures and biological changes in response to occupational firefighting. 200 urine samples from 100 firefighters collected at baseline and two to four hours post-fire were analyzed using untargeted liquid-chromatography and high-resolution mass spectrometry. Changes in metabolite abundance after a fire were estimated with fixed effects linear regression, with false discovery rate (FDR) adjustment. Partial least squares discriminant analysis (PLS-DA) was also used, and variable important projection (VIP) scores were extracted. Systemic changes were evaluated using pathway enrichment for highly discriminating metabolites. Metabolome-wide-association-study (MWAS) identified 268 metabolites associated with firefighting activity at FDR q < 0.05. Of these, 20 were annotated with high confidence, including the amino acids taurine, proline, and betaine; the indoles kynurenic acid and indole-3-acetic acid; the known uremic toxins trimethylamine n-oxide and hippuric acid; and the hormone 7a-hydroxytestosterone. Partial least squares discriminant analysis (PLS-DA) additionally implicated choline, cortisol, and other hormones. Significant pathways included metabolism of urea cycle/amino group, alanine and aspartate, aspartate and asparagine, vitamin b3 (nicotinate and nicotinamide), and arginine and proline. Firefighters show a broad metabolic response to fires, including altered excretion of indole compounds and uremic toxins. Implicated pathways and features, particularly uremic toxins, may be important regulators of firefighter’s increased risk for urinary tract cancers. Nature Publishing Group UK 2023-11-27 /pmc/articles/PMC10682406/ /pubmed/38012297 http://dx.doi.org/10.1038/s41598-023-47799-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Furlong, Melissa A.
Liu, Tuo
Snider, Justin M.
Tfaily, Malak M.
Itson, Christian
Beitel, Shawn
Parsawar, Krishna
Keck, Kristen
Galligan, James
Walker, Douglas I.
Gulotta, John J.
Burgess, Jefferey L.
Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach
title Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach
title_full Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach
title_fullStr Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach
title_full_unstemmed Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach
title_short Evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach
title_sort evaluating changes in firefighter urinary metabolomes after structural fires: an untargeted, high resolution approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10682406/
https://www.ncbi.nlm.nih.gov/pubmed/38012297
http://dx.doi.org/10.1038/s41598-023-47799-x
work_keys_str_mv AT furlongmelissaa evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT liutuo evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT sniderjustinm evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT tfailymalakm evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT itsonchristian evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT beitelshawn evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT parsawarkrishna evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT keckkristen evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT galliganjames evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT walkerdouglasi evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT gulottajohnj evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach
AT burgessjeffereyl evaluatingchangesinfirefighterurinarymetabolomesafterstructuralfiresanuntargetedhighresolutionapproach