Metabolomics profiles alterations in cigarette smokers and heated tobacco product users.

electronic nicotine delivery devices heated tobacco products metabolomics prevention smoking-induced disease

Journal

Journal of epidemiology
ISSN: 1349-9092
Titre abrégé: J Epidemiol
Pays: Japan
ID NLM: 9607688

Informations de publication

Date de publication:
04 Nov 2023
Historique:
medline: 6 11 2023
pubmed: 6 11 2023
entrez: 5 11 2023
Statut: aheadofprint

Résumé

Heated tobacco products (HTPs) have gained global popularity, but their health risks remain unclear. Therefore, the current study aimed to identify plasma metabolites associated with smoking and HTP use in a large Japanese population to improve health risk assessment. Metabolomics data from 9,922 baseline participants of the Tsuruoka Metabolomics Cohort Study (TMCS) were analyzed to determine the association between smoking habits and plasma metabolites. Moreover, alterations in smoking-related metabolites among HTP users were examined based on data obtained from 3,334 participants involved from April 2018 to June 2019 in a follow-up survey. Our study revealed that cigarette smokers had metabolomics profiles distinct from never smokers, with 22 polar metabolites identified as candidate biomarkers for smoking. These biomarker profiles of HTP users were closer to those of cigarette smokers than those of never smokers. The concentration of glutamate was higher in cigarette smokers, and biomarkers involved in glutamate metabolism were also associated with cigarette smoking and HTP use. Network pathway analysis showed that smoking was associated with the glutamate pathway, which could lead to endothelial dysfunction and atherosclerosis of the vessels. Our study showed that the glutamate pathway is affected by habitual smoking. These changes in the glutamate pathway may partly explain the mechanism by which cigarette smoking causes cardiovascular disease. HTP use was also associated with glutamate metabolism, indicating that HTP use may contribute to the development of cardiovascular disease through mechanisms similar to those in cigarette use.

Sections du résumé

BACKGROUND BACKGROUND
Heated tobacco products (HTPs) have gained global popularity, but their health risks remain unclear. Therefore, the current study aimed to identify plasma metabolites associated with smoking and HTP use in a large Japanese population to improve health risk assessment.
METHODS METHODS
Metabolomics data from 9,922 baseline participants of the Tsuruoka Metabolomics Cohort Study (TMCS) were analyzed to determine the association between smoking habits and plasma metabolites. Moreover, alterations in smoking-related metabolites among HTP users were examined based on data obtained from 3,334 participants involved from April 2018 to June 2019 in a follow-up survey.
RESULTS RESULTS
Our study revealed that cigarette smokers had metabolomics profiles distinct from never smokers, with 22 polar metabolites identified as candidate biomarkers for smoking. These biomarker profiles of HTP users were closer to those of cigarette smokers than those of never smokers. The concentration of glutamate was higher in cigarette smokers, and biomarkers involved in glutamate metabolism were also associated with cigarette smoking and HTP use. Network pathway analysis showed that smoking was associated with the glutamate pathway, which could lead to endothelial dysfunction and atherosclerosis of the vessels.
CONCLUSIONS CONCLUSIONS
Our study showed that the glutamate pathway is affected by habitual smoking. These changes in the glutamate pathway may partly explain the mechanism by which cigarette smoking causes cardiovascular disease. HTP use was also associated with glutamate metabolism, indicating that HTP use may contribute to the development of cardiovascular disease through mechanisms similar to those in cigarette use.

Identifiants

pubmed: 37926518
doi: 10.2188/jea.JE20230170
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Sei Harada (S)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.
Institute for Advanced Biosciences, Keio University.

Hideki Ohmomo (H)

Iwate Tohoku Medical Megabank Organization, Iwate Medical University.

Minako Matsumoto (M)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Mizuki Sata (M)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Miho Iida (M)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Aya Hirata (A)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Naoko Miyagawa (N)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Kazuyo Kuwabara (K)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Suzuka Kato (S)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Ryota Toki (R)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Shun Edagawa (S)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Daisuke Sugiyama (D)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Asako Sato (A)

Institute for Advanced Biosciences, Keio University.

Akiyoshi Hirayama (A)

Institute for Advanced Biosciences, Keio University.

Masahiro Sugimoto (M)

Institute for Advanced Biosciences, Keio University.

Tomoyoshi Soga (T)

Institute for Advanced Biosciences, Keio University.

Masaru Tomita (M)

Institute for Advanced Biosciences, Keio University.

Atsushi Shimizu (A)

Iwate Tohoku Medical Megabank Organization, Iwate Medical University.

Tomonori Okamura (T)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.

Toru Takebayashi (T)

Department of Public Health and Preventive Medicine, Keio University School of Medicine.
Institute for Advanced Biosciences, Keio University.

Classifications MeSH