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Chen Y, Gowda SGB, Gowda D, Jayaprakash J, Nath LR, Ikeda A, Bamai YA, Ketema RM, Kishi R, Chiba H, Hui SP. Application of Liquid Chromatography/Tandem Mass Spectrometry for Quantitative Analysis of Plasmalogens in Preadolescent Children-The Hokkaido Study. Diagnostics (Basel) 2025; 15:743. [PMID: 40150086 PMCID: PMC11941332 DOI: 10.3390/diagnostics15060743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2025] [Revised: 02/28/2025] [Accepted: 03/14/2025] [Indexed: 03/29/2025] Open
Abstract
Background: Plasmalogens (Pls) are phospholipids with a unique structure, abundant in the brain and heart. Due to their chemical instability and analytical difficulties, less information is available compared to other phospholipids. The importance of Pls in several cellular processes is known, one of which is their protective effect against oxidative damage. The physiological role of Pls in human development has not been elucidated. Despite their clinical importance, the quantitative analysis of Pls in children's plasma has been limited. Methods: This study aims to determine the plasma levels of Pls in prepubertal children using liquid chromatography/tandem mass spectrometry (LC-MS/MS). The plasma samples used were obtained from 9- to 12-year-old girls (n = 156) and boys (n = 178), n = 334 in total, who participated in the Hokkaido study. Results: Ethanolamine plasmalogen (PlsEtn) and choline plasmalogen (PlsCho), both carrying eicosapentaenoic acid, were significantly lower in girls than in boys. In both sexes, the plasmalogen levels for the 12-year-old children were lower than those for the 9-year-old children. PlsCho (16:0/18:2) was lower in the overweight children than in the normal-weight children for both sexes. PlsEtn (18:0/20:4) was the most abundant ethanolamine-type plasmalogen in both sexes. Conclusions: This study is the first report on plasmalogen levels and molecular types in children's plasma. This study provides the information needed to understand the role of Pls in human developmental processes and may open up new opportunities in the future to control age-related changes in Pls.
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Affiliation(s)
- Yifan Chen
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo 060-0812, Japan; (Y.C.); (S.G.B.G.); (D.G.); (A.I.); (R.M.K.)
| | - Siddabasave Gowda B. Gowda
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo 060-0812, Japan; (Y.C.); (S.G.B.G.); (D.G.); (A.I.); (R.M.K.)
- Graduate School of Global Food Resources, Hokkaido University, Kita-9, Nishi-9, Kita-ku, Sapporo 060-0809, Japan; (J.J.); (L.R.N.)
| | - Divyavani Gowda
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo 060-0812, Japan; (Y.C.); (S.G.B.G.); (D.G.); (A.I.); (R.M.K.)
| | - Jayashankar Jayaprakash
- Graduate School of Global Food Resources, Hokkaido University, Kita-9, Nishi-9, Kita-ku, Sapporo 060-0809, Japan; (J.J.); (L.R.N.)
| | - Lipsa Rani Nath
- Graduate School of Global Food Resources, Hokkaido University, Kita-9, Nishi-9, Kita-ku, Sapporo 060-0809, Japan; (J.J.); (L.R.N.)
| | - Atusko Ikeda
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo 060-0812, Japan; (Y.C.); (S.G.B.G.); (D.G.); (A.I.); (R.M.K.)
- Center for Environmental and Health Sciences, Hokkaido University, Kita-12, Nishi-7, Kita-ku, Sapporo 060-0812, Japan; (Y.A.B.); (R.K.)
| | - Yu Ait Bamai
- Center for Environmental and Health Sciences, Hokkaido University, Kita-12, Nishi-7, Kita-ku, Sapporo 060-0812, Japan; (Y.A.B.); (R.K.)
| | - Rahel Mesfin Ketema
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo 060-0812, Japan; (Y.C.); (S.G.B.G.); (D.G.); (A.I.); (R.M.K.)
- Center for Environmental and Health Sciences, Hokkaido University, Kita-12, Nishi-7, Kita-ku, Sapporo 060-0812, Japan; (Y.A.B.); (R.K.)
| | - Reiko Kishi
- Center for Environmental and Health Sciences, Hokkaido University, Kita-12, Nishi-7, Kita-ku, Sapporo 060-0812, Japan; (Y.A.B.); (R.K.)
| | - Hitoshi Chiba
- Department of Nutrition, Sapporo University of Health Sciences, Nakanuma Nishi-4-2-1-15, Higashi-ku, Sapporo 070-0894, Japan;
| | - Shu-Ping Hui
- Faculty of Health Sciences, Hokkaido University, Kita-12, Nishi-5, Kita-ku, Sapporo 060-0812, Japan; (Y.C.); (S.G.B.G.); (D.G.); (A.I.); (R.M.K.)
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Zhang W, Wang W, Li L, Miller MR, Cui L, Liu J, Wang Y, Hu D, Liu S, Xu J, Wu S, Duan J, Sun Z, Guo X, Deng F. Joint effect of multiple air pollutants on cardiometabolic health in normal-weight and obese adults: A novel insight into the role of circulating free fatty acids. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159014. [PMID: 36162568 DOI: 10.1016/j.scitotenv.2022.159014] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 09/14/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
The cardiometabolic effects of air pollution in the context of mixtures and the underlying mechanisms remain not fully understood. This study aims to investigate the joint effect of air pollutant mixtures on a broad range of cardiometabolic parameters, examine the susceptibility of obese individuals, and determine the role of circulating fatty acids. In this panel study, metabolically healthy normal-weight (MH-NW, n = 49) and obese (MHO, n = 39) adults completed three longitudinal visits (257 person-visits in total). Personal exposure levels of PM2.5, PM10, O3, NO2, SO2, CO and BC were estimated based on fixed-site monitoring data, time-activity logs and infiltration factor method. Blood pressure, glycemic homeostasis, lipid profiles, systematic inflammation and coagulation biomarkers were measured. Targeted metabolomics was used to quantify twenty-eight plasma free fatty acids (FFAs). Bayesian kernel machine regression models were applied to establish the exposure-response relationships and identify key pollutants. Significant joint effects of measured air pollutants on systematic inflammation and coagulation biomarkers were observed in the MHO group, instead of the MH-NW group. Lipid profiles showed the most significant changes in both groups and O3 contributed the most to the total effect. Specific FFA patterns were identified, and de novo lipogenesis (DNL)-related pattern was most closely related to blood lipid profiles. In particular, interaction analysis suggested that DNL-related FFA pattern augmented the effects of O3 on triglyceride (TG, Pinteraction = 0.040), high-density lipoprotein cholesterol (HDL-C, Pinteraction = 0.106) and TG/HDL-C (Pinteraction = 0.020) in the MHO group but not MH-NW group. This modification was further confirmed by interaction analysis with estimated activity of SCD1, a key enzyme in the DNL pathway. Therefore, despite being metabolically healthy, obese subjects have a higher cardiometabolic susceptibility to air pollution, especially O3, and the DNL pathway may represent an intrinsic driver of lipid susceptibility. This study provides new insights into the cardiometabolic susceptibility of obese individuals to air pollution.
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Affiliation(s)
- Wenlou Zhang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Luyi Li
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Mark R Miller
- University/BHF Centre for Cardiovascular Science, Queens Medical Research Institute, The University of Edinburgh, 47 Little France Crescent, Edinburgh EH16 4TJ, United Kingdom
| | - Liyan Cui
- Department of Laboratory Medicine, Peking University Third Hospital, Beijing 100191, China
| | - Junxiu Liu
- Department of Otolaryngology Head and Neck Surgery, Peking University Third Hospital, Beijing 100191, China
| | - Yang Wang
- Hospital of Health Science Center, Peking University, Beijing 100191, China
| | - Dayu Hu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Shan Liu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Junhui Xu
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Shaowei Wu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, China; Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, Shaanxi 710061, China
| | - Junchao Duan
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Zhiwei Sun
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing 100069, China
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing 100191, China.
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Reščič N, Mayora O, Eccher C, Luštrek M. Food Frequency Questionnaire Personalisation Using Multi-Target Regression. Nutrients 2022; 14:nu14193943. [PMID: 36235596 PMCID: PMC9571126 DOI: 10.3390/nu14193943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 09/06/2022] [Accepted: 09/20/2022] [Indexed: 11/29/2022] Open
Abstract
Fondazione Bruno Kessler is developing a mobile app prototype for empowering citizens to improve their health conditions through different lifestyle interventions that will be incorporated into a mobile application for lifestyle promotion of the Province of Trento in the context of the Trentino Salute 4.0 Competence Center. The envisioned interventions are based on promoting behaviour change in various domains such as physical activity, mental health and nutrition. In particular, the nutrition component is a self-monitoring module that collects dietary habits to analyse them and recommend healthier eating behaviours. Dietary assessment is completed using a Food Frequency Questionnaire on the Mediterranean diet that is presented to the user as a grid of images. The questionnaire returns feedback on 11 aspects of nutrition. Although the questionnaire used in the application only consists of 24 questions, it still could be a bit overwhelming and a bit crowded when shown on the screen. In this paper, we tried to find a machine-learning-based solution to reduce the number of questions in the questionnaire. We proposed a method that uses the user’s previous answers as additional information to find the goals that need more attention. We compared this method with a case where the subset of questions is randomly selected and with a case where the subset is chosen using feature selection. We also explored how large the subset should be to obtain good predictions. All the experiments are conducted as a multi-target regression problem, which means several goals are predicted simultaneously. The proposed method adjusts well to the user in question and has the slightest error when predicting the goals.
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Affiliation(s)
- Nina Reščič
- Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia
- Jožef Stefan International Postgraduate School, 1000 Ljubljana, Slovenia
- Correspondence:
| | | | | | - Mitja Luštrek
- Department of Intelligent Systems, Jožef Stefan Institute, 1000 Ljubljana, Slovenia
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