著者
Sei Harada Hideki Ohmomo Minako Matsumoto Mizuki Sata Miho Iida Aya Hirata Naoko Miyagawa Kazuyo Kuwabara Suzuka Kato Ryota Toki Shun Edagawa Daisuke Sugiyama Asako Sato Akiyoshi Hirayama Masahiro Sugimoto Tomoyoshi Soga Masaru Tomita Atsushi Shimizu Tomonori Okamura Toru Takebayashi
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
pp.JE20230170, (Released:2023-11-04)
参考文献数
33
被引用文献数
1

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: 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: 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: 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.
著者
Sei Harada Miho Iida Naoko Miyagawa Aya Hirata Kazuyo Kuwabara Minako Matsumoto Tomonori Okamura Shun Edagawa Yoko Kawada Atsuko Miyake Ryota Toki Miki Akiyama Atsuki Kawai Daisuke Sugiyama Yasunori Sato Ryo Takemura Kota Fukai Yoshiki Ishibashi Suzuka Kato Ayako Kurihara Mizuki Sata Takuma Shibuki Ayano Takeuchi Shun Kohsaka Mitsuaki Sawano Satoshi Shoji Yoshikane Izawa Masahiro Katsumata Koichi Oki Shinichi Takahashi Tsubasa Takizawa Hiroshi Maruya Yuji Nishiwaki Ryo Kawasaki Akiyoshi Hirayama Takamasa Ishikawa Rintaro Saito Asako Sato Tomoyoshi Soga Masahiro Sugimoto Masaru Tomita Shohei Komaki Hideki Ohmomo Kanako Ono Yayoi Otsuka-Yamasaki Atsushi Shimizu Yoichi Sutoh Atsushi Hozawa Kengo Kinoshita Seizo Koshiba Kazuki Kumada Soichi Ogishima Mika Sakurai-Yageta Gen Tamiya Toru Takebayashi
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
pp.JE20230192, (Released:2024-01-06)
参考文献数
40
被引用文献数
1

The Tsuruoka Metabolomics Cohort Study (TMCS) is an ongoing population-based cohort study being conducted in the rural area of Yamagata Prefecture, Japan. This study aimed to enhance the precision prevention of multi-factorial, complex diseases, including non-communicable and aging-associated diseases, by improving risk stratification and prediction measures. At baseline, 11,002 participants aged 35–74 years were recruited in Tsuruoka City, Yamagata Prefecture, Japan, between 2012 and 2015, with an ongoing follow-up survey. Participants underwent various measurements, examinations, tests, and questionnaires on their health, lifestyle, and social factors. This study used an integrative approach with deep molecular profiling to identify potential biomarkers linked to phenotypes that underpin disease pathophysiology and provide better mechanistic insights into social health determinants. The TMCS incorporates multi-omics data, including genetic and metabolomic analyses of 10,933 participants and comprehensive data collection ranging from physical, psychological, behavioral, and social to biological data. The metabolome is used as a phenotypic probe because it is sensitive to changes in physiological and external conditions. The TMCS focuses on collecting outcomes for cardiovascular disease, cancer incidence and mortality, disability, functional decline due to aging and disease sequelae, and the variation in health status within the body represented by omics analysis that lies between exposure and disease. It contains several sub-studies on aging, heated tobacco products, and women's health. This study is notable for its robust design, high participation rate (89%), and long-term repeated surveys. Moreover, it contributes to precision prevention in Japan and East Asia as a well-established multi-omics platform.
著者
Atsushi Hozawa Kozo Tanno Naoki Nakaya Tomohiro Nakamura Naho Tsuchiya Takumi Hirata Akira Narita Mana Kogure Kotaro Nochioka Ryohei Sasaki Nobuyuki Takanashi Kotaro Otsuka Kiyomi Sakata Shinichi Kuriyama Masahiro Kikuya Osamu Tanabe Junichi Sugawara Kichiya Suzuki Yoichi Suzuki Eiichi N Kodama Nobuo Fuse Hideyasu Kiyomoto Hiroaki Tomita Akira Uruno Yohei Hamanaka Hirohito Metoki Mami Ishikuro Taku Obara Tomoko Kobayashi Kazuyuki Kitatani Takako Takai-Igarashi Soichi Ogishima Mamoru Satoh Hideki Ohmomo Akito Tsuboi Shinichi Egawa Tadashi Ishii Kiyoshi Ito Sadayoshi Ito Yasuyuki Taki Naoko Minegishi Naoto Ishii Masao Nagasaki Kazuhiko Igarashi Seizo Koshiba Ritsuko Shimizu Gen Tamiya Keiko Nakayama Hozumi Motohashi Jun Yasuda Atsushi Shimizu Tsuyoshi Hachiya Yuh Shiwa Teiji Tominaga Hiroshi Tanaka Kotaro Oyama Ryoichi Tanaka Hiroshi Kawame Akimune Fukushima Yasushi Ishigaki Tomoharu Tokutomi Noriko Osumi Tadao Kobayashi Fuji Nagami Hiroaki Hashizume Tomohiko Arai Yoshio Kawaguchi Shinichi Higuchi Masaki Sakaida Ryujin Endo Satoshi Nishizuka Ichiro Tsuji Jiro Hitomi Motoyuki Nakamura Kuniaki Ogasawara Nobuo Yaegashi Kengo Kinoshita Shigeo Kure Akio Sakai Seiichiro Kobayashi Kenji Sobue Makoto Sasaki Masayuki Yamamoto
出版者
Japan Epidemiological Association
雑誌
Journal of Epidemiology (ISSN:09175040)
巻号頁・発行日
vol.31, no.1, pp.65-76, 2021-01-05 (Released:2021-01-05)
参考文献数
34
被引用文献数
54 78

Background: We established a community-based cohort study to assess the long-term impact of the Great East Japan Earthquake on disaster victims and gene-environment interactions on the incidence of major diseases, such as cancer and cardiovascular diseases.Methods: We asked participants to join our cohort in the health check-up settings and assessment center based settings. Inclusion criteria were aged 20 years or over and living in Miyagi or Iwate Prefecture. We obtained information on lifestyle, effect of disaster, blood, and urine information (Type 1 survey), and some detailed measurements (Type 2 survey), such as carotid echography and calcaneal ultrasound bone mineral density. All participants agreed to measure genome information and to distribute their information widely.Results: As a result, 87,865 gave their informed consent to join our study. Participation rate at health check-up site was about 70%. The participants in the Type 1 survey were more likely to have psychological distress than those in the Type 2 survey, and women were more likely to have psychological distress than men. Additionally, coastal residents were more likely to have higher degrees of psychological distress than inland residents, regardless of sex.Conclusion: This cohort comprised a large sample size and it contains information on the natural disaster, genome information, and metabolome information. This cohort also had several detailed measurements. Using this cohort enabled us to clarify the long-term effect of the disaster and also to establish personalized prevention based on genome, metabolome, and other omics information.