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Chen Z, Li W, Zhang H, Huang X, Tao Y, Lang K, Zeng Q, Chen W, Wang D. Serum metabolome perturbation in relation to noise exposure: Exploring the potential role of serum metabolites in noise-induced arterial stiffness. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 349:123945. [PMID: 38604306 DOI: 10.1016/j.envpol.2024.123945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/28/2024] [Accepted: 04/07/2024] [Indexed: 04/13/2024]
Abstract
Noise pollution has grown to be a major public health issue worldwide. We sought to profile serum metabolite expression changes related to occupational noise exposure by untargeted metabolomics, as well as to evaluate the potential roles of serum metabolites in occupational noise-associated arterial stiffness (AS). Our study involved 30 noise-exposed industrial personnel (Lipo group) and 30 noise-free controls (Blank group). The untargeted metabolomic analysis was performed by employing a UPLC-HRMS. The associations of occupational noise and significant differential metabolites (between Blank/Lipo groups) with AS were evaluated using multivariable-adjusted generalized linear models. We performed the least absolute shrinkage and selection operator regression analysis to further screen for AS's risk metabolites. We explored 177 metabolites across 21 categories significantly differentially expressed between Blank/Lipo groups, and these metabolites were enriched in 20 metabolic pathways. Moreover, 15 metabolites in 4 classes (including food, glycerophosphocholine, sphingomyelin [SM] and triacylglycerols [TAG]) were adversely associated with AS (all P < 0.05). Meanwhile, five metabolites (homostachydrine, phosphatidylcholine (PC) (32:1e), PC (38:6p), SM (d41:2) and TAG (45:1) have been proven to be useful predictors of AS prevalence. However, none of these 15 metabolites were found to have a mediating influence on occupational noise-induced AS. Our study reveals specific metabolic changes caused by occupational noise exposure, and several metabolites may have protective effects on AS. However, the roles of serum metabolites in noise-AS association remain to be validated in future studies.
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Affiliation(s)
- Zhaomin Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Wenzhen Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - Haozhe Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xuezan Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Yueqing Tao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Kaiji Lang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Qiang Zeng
- Tianjin Centers for Disease Control and Prevention, Tianjin, 300000, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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Artola Arita V, Trujillo-Cáceres SJ, Menassa M. Smoking threats beyond being a smoker: a burden on children and adolescents' healthy living. Eur J Prev Cardiol 2024; 31:100-102. [PMID: 37862675 DOI: 10.1093/eurjpc/zwad329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 10/06/2023] [Indexed: 10/22/2023]
Affiliation(s)
- Vicente Artola Arita
- Department of Global Public Health and Bioethics, Julius Center, University Medical Center (UMC) Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Silvia Juliana Trujillo-Cáceres
- Department of Global Public Health and Bioethics, Julius Center, University Medical Center (UMC) Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Marilyne Menassa
- Department of Global Public Health and Bioethics, Julius Center, University Medical Center (UMC) Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
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Gea J, Enríquez-Rodríguez CJ, Agranovich B, Pascual-Guardia S. Update on metabolomic findings in COPD patients. ERJ Open Res 2023; 9:00180-2023. [PMID: 37908399 PMCID: PMC10613990 DOI: 10.1183/23120541.00180-2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Accepted: 08/15/2023] [Indexed: 11/02/2023] Open
Abstract
COPD is a heterogeneous disorder that shows diverse clinical presentations (phenotypes and "treatable traits") and biological mechanisms (endotypes). This heterogeneity implies that to carry out a more personalised clinical management, it is necessary to classify each patient accurately. With this objective, and in addition to clinical features, it would be very useful to have well-defined biological markers. The search for these markers may either be done through more conventional laboratory and hypothesis-driven techniques or relatively blind high-throughput methods, with the omics approaches being suitable for the latter. Metabolomics is the science that studies biological processes through their metabolites, using various techniques such as gas and liquid chromatography, mass spectrometry and nuclear magnetic resonance. The most relevant metabolomics studies carried out in COPD highlight the importance of metabolites involved in pathways directly related to proteins (peptides and amino acids), nucleic acids (nitrogenous bases and nucleosides), and lipids and their derivatives (especially fatty acids, phospholipids, ceramides and eicosanoids). These findings indicate the relevance of inflammatory-immune processes, oxidative stress, increased catabolism and alterations in the energy production. However, some specific findings have also been reported for different COPD phenotypes, demographic characteristics of the patients, disease progression profiles, exacerbations, systemic manifestations and even diverse treatments. Unfortunately, the studies carried out to date have some limitations and shortcomings and there is still a need to define clear metabolomic profiles with clinical utility for the management of COPD and its implicit heterogeneity.
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Affiliation(s)
- Joaquim Gea
- Respiratory Medicine Department, Hospital del Mar – IMIM, Barcelona, Spain
- MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain
- CIBERES, ISCIII, Barcelona, Spain
| | - César J. Enríquez-Rodríguez
- Respiratory Medicine Department, Hospital del Mar – IMIM, Barcelona, Spain
- MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain
| | - Bella Agranovich
- Rappaport Institute for Research in the Medical Sciences, Technion University, Haifa, Israel
| | - Sergi Pascual-Guardia
- Respiratory Medicine Department, Hospital del Mar – IMIM, Barcelona, Spain
- MELIS Department, Universitat Pompeu Fabra, Barcelona, Spain
- CIBERES, ISCIII, Barcelona, Spain
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Xi J, Ding D, Zhu H, Wang R, Su F, Wu W, Xiao Z, Liang X, Zhao Q, Hong Z, Fu H, Xiao Q. Disturbed microbial ecology in Alzheimer's disease: evidence from the gut microbiota and fecal metabolome. BMC Microbiol 2021; 21:226. [PMID: 34384375 PMCID: PMC8361629 DOI: 10.1186/s12866-021-02286-z] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 07/26/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Gut microbiota (GMB) alteration has been reported to influence the Alzheimer's disease (AD) pathogenesis through immune, endocrine, and metabolic pathways. This study aims to investigate metabolic output of the dysbiosis of GMB in AD pathogenesis. In this study, the fecal microbiota and metabolome from 21 AD participants and 44 cognitively normal control participants were measured. Untargeted GMB taxa was analyzed through 16S ribosomal RNA gene profiling based on next-generation sequencing and fecal metabolites were quantified by using ultrahigh performance liquid chromatography-mass spectrometry (UPLC-MS). RESULTS Our analysis revealed that AD was characterized by 15 altered gut bacterial genera, of which 46.7% (7/15 general) was significantly associated with a series of metabolite markers. The predicted metabolic profile of altered gut microbial composition included steroid hormone biosynthesis, N-Acyl amino acid metabolism and piperidine metabolism. Moreover, a combination of 2 gut bacterial genera (Faecalibacterium and Pseudomonas) and 4 metabolites (N-Docosahexaenoyl GABA, 19-Oxoandrost-4-ene-3,17-dione, Trigofoenoside F and 22-Angeloylbarringtogenol C) was able to discriminate AD from NC with AUC of 0.955 in these 65 subjects. CONCLUSIONS These findings demonstrate that gut microbial alterations and related metabolic output changes may be associated with pathogenesis of AD, and suggest that fecal markers might be used as a non-invasive examination to assist screening and diagnosis of AD.
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Affiliation(s)
- Jianxiong Xi
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Ding Ding
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China. .,National Clinical Research Center for Aging Diseases, Shanghai, 200040, China.
| | - Huiwei Zhu
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Ruru Wang
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Feng Su
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Wanqing Wu
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.,National Clinical Research Center for Aging Diseases, Shanghai, 200040, China
| | - Zhenxu Xiao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.,National Clinical Research Center for Aging Diseases, Shanghai, 200040, China
| | - Xiaoniu Liang
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.,National Clinical Research Center for Aging Diseases, Shanghai, 200040, China
| | - Qianhua Zhao
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.,National Clinical Research Center for Aging Diseases, Shanghai, 200040, China
| | - Zhen Hong
- Institute of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.,National Clinical Research Center for Aging Diseases, Shanghai, 200040, China
| | - Hua Fu
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China
| | - Qianyi Xiao
- Department of Preventive Medicine and Health Education, School of Public Health, Fudan University, Shanghai, 200032, China.
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Chen L, Zheng Y, Zhao L, Zhang Y, Yin L, He Y, Ma X, Xu Y, Gao Z. Lipid profiles and differential lipids in serum related to severity of community-acquired pneumonia: A pilot study. PLoS One 2021; 16:e0245770. [PMID: 33705428 PMCID: PMC7951898 DOI: 10.1371/journal.pone.0245770] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 01/08/2021] [Indexed: 11/18/2022] Open
Abstract
This study aimed to characterize the lipidomic responses to community-acquired pneumonia (CAP) and provide new insight into the underlying mechanisms of pathogenesis and potential avenues for diagnostic and therapeutic treatments. This study was performed from January 2017 to October 2018. Lipidomic profiles were generated using ultra high-performance liquid chromatography with tandem mass spectrometry (UHPLC-MS/MS) platform. Spearman's rank correlation test and multiple linear regression analysis were applied to explore the correlation between changes in the relative abundance of lipids and clinical parameters. Kaplan-Meier methods were used to build 30-day survival curves. From the UHPLC-MS/MS results, a total of 509 and 195 lipid species were detected in the positive and negative ionization mode respectively. Positive ionization covered six lipid classes (glycerol-phospholipids, glycerolipids, sphingolipids, sterol-lipids, prenol-lipids, and fatty acid), whilst negative ionization covered three (glycerol-phospholipids, sphingolipids, fatty acid). Four lipids were selected as targets: PC (16:0_18:1), PC (18:2_20:4), PC (36:4), and PC (38:6). The relative increase of the areas under the curves for all four lipids were superior to the pneumonia severity index and CURB-65 (confusion, urea, respiratory rate, blood pressure, and age ≥65 years old) for discriminating severe CAP from CAP. Decreasing relative levels of PC (18:2_20:4), PC (38:6), and PC (36:4) were negatively related to fraction of inspiration O2; Changes in the relative abundance of PC (16:0_18:1) and PC (18:2_20:4) had significantly linear relationship with procalcitonin. Patients with an elevated level of PC (16:0_18:1) had significantly longer duration of hospital stays. As the relative abundance of PC (18:2_20:4), PC (36:4), and PC (38:6) decreased, the length of hospitalization days and 30-day mortality rate increased significantly (all log-rank p<0.05). Therefore, using the UHPLC-MS/MS platform's serum lipidomic approach can help reveal changes in lipid abundance during CAP and establish lipid profiles related to disease severity.
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Affiliation(s)
- Li Chen
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
| | - Yali Zheng
- Department of Respiratory, Critical Care & Sleep Medicine, Xiang’an Hospital of Xiamen University, Xiamen, China
| | - Lili Zhao
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
| | - Ying Zhang
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
| | - Lu Yin
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
| | - Yukun He
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
| | - Xinqian Ma
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
| | - Yu Xu
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
- * E-mail: (ZG); (YX)
| | - Zhancheng Gao
- Department of Respiratory & Critical Care Medicine, Peking University People’s Hospital, Beijing, China
- * E-mail: (ZG); (YX)
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