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Barosova R, Baranovicova E, Hanusrichterova J, Mokra D. Metabolomics in Animal Models of Bronchial Asthma and Its Translational Importance for Clinics. Int J Mol Sci 2023; 25:459. [PMID: 38203630 PMCID: PMC10779398 DOI: 10.3390/ijms25010459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 12/17/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
Bronchial asthma is an extremely heterogenous chronic respiratory disorder with several distinct endotypes and phenotypes. These subtypes differ not only in the pathophysiological changes and/or clinical features but also in their response to the treatment. Therefore, precise diagnostics represent a fundamental condition for effective therapy. In the diagnostic process, metabolomic approaches have been increasingly used, providing detailed information on the metabolic alterations associated with human asthma. Further information is brought by metabolomic analysis of samples obtained from animal models. This article summarizes the current knowledge on metabolomic changes in human and animal studies of asthma and reveals that alterations in lipid metabolism, amino acid metabolism, purine metabolism, glycolysis and the tricarboxylic acid cycle found in the animal studies resemble, to a large extent, the changes found in human patients with asthma. The findings indicate that, despite the limitations of animal modeling in asthma, pre-clinical testing and metabolomic analysis of animal samples may, together with metabolomic analysis of human samples, contribute to a novel way of personalized treatment of asthma patients.
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Affiliation(s)
- Romana Barosova
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia; (R.B.); (J.H.)
| | - Eva Baranovicova
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia;
| | - Juliana Hanusrichterova
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia; (R.B.); (J.H.)
- Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia;
| | - Daniela Mokra
- Department of Physiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, 03601 Martin, Slovakia; (R.B.); (J.H.)
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Su KJ, Chen XY, Gong R, Zhao Q, Hu SD, Feng MC, Li Y, Lin X, Zhang YH, Greenbaum J, Tian Q, Shen H, Xiao HM, Shen J, Deng HW. Systematic metabolomic studies identified adult adiposity biomarkers with acetylglycine associated with fat loss in vivo. Front Mol Biosci 2023; 10:1166333. [PMID: 37122566 PMCID: PMC10141311 DOI: 10.3389/fmolb.2023.1166333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 03/28/2023] [Indexed: 05/02/2023] Open
Abstract
Obesity is associated with various adverse health outcomes. Body fat (BF) distribution is recognized as an important factor of negative health consequences of obesity. Although metabolomics studies, mainly focused on body mass index (BMI) and waist circumference, have explored the biological mechanisms involved in the development of obesity, these proxy composite measures are not accurate and cannot reflect BF distribution, and thus may hinder accurate assessment of metabolic alterations and differential risk of metabolic disorders among individuals presenting adiposity differently throughout the body. Thus, the exact relations between metabolites and BF remain to be elucidated. Here, we aim to examine the associations of metabolites and metabolic pathways with BF traits which reflect BF distribution. We performed systematic untargeted serum metabolite profiling and dual-energy X-ray absorptiometry (DXA) whole body fat scan for 517 Chinese women. We jointly analyzed DXA-derived four BF phenotypes to detect cross-phenotype metabolite associations and to prioritize important metabolomic factors. Topology-based pathway analysis was used to identify important BF-related biological processes. Finally, we explored the relationships of the identified BF-related candidate metabolites with BF traits in different sex and ethnicity through two independent cohorts. Acetylglycine, the top distinguished finding, was validated for its obesity resistance effect through in vivo studies of various diet-induced obese (DIO) mice. Eighteen metabolites and fourteen pathways were discovered to be associated with BF phenotypes. Six of the metabolites were validated in varying sex and ethnicity. The obesity-resistant effects of acetylglycine were observed to be highly robust and generalizable in both human and DIO mice. These findings demonstrate the importance of metabolites associated with BF distribution patterns and several biological pathways that may contribute to obesity and obesity-related disease etiology, prevention, and intervention. Acetylglycine is highlighted as a potential therapeutic candidate for preventing excessive adiposity in future studies.
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Affiliation(s)
- Kuan-Jui Su
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, United States
- Department of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
| | - Xing-Ying Chen
- Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Rui Gong
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, United States
- Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- Department of Cadre Ward Endocrinology, Gansu Provincial Hospital, Lanzhou, China
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Shi-Di Hu
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Mei-Chen Feng
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Ye Li
- Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
| | - Xu Lin
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, United States
- Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Yin-Hua Zhang
- Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
| | - Jonathan Greenbaum
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, United States
| | - Qing Tian
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, United States
| | - Hui Shen
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, United States
| | - Hong-Mei Xiao
- Center of System Biology, Data Information and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, China
| | - Jie Shen
- Shunde Hospital of Southern Medical University (The First People’s Hospital of Shunde), Foshan, China
- Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China
- *Correspondence: Hong-Wen Deng, ; Jie Shen,
| | - Hong-Wen Deng
- Tulane Center for Biomedical Informatics and Genomics, School of Medicine, Tulane University, New Orleans, LA, United States
- *Correspondence: Hong-Wen Deng, ; Jie Shen,
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3
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Accelerometer-Based Sedentary Time, Physical Activity, and Serum Metabolome in Young Men. Metabolites 2022; 12:metabo12080700. [PMID: 36005572 PMCID: PMC9414649 DOI: 10.3390/metabo12080700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/07/2022] [Accepted: 07/21/2022] [Indexed: 12/10/2022] Open
Abstract
Physical activity (PA) has been shown to associate with many health benefits but studies with metabolome-wide associations with PA are still lacking. Metabolome studies may deepen the mechanistic understanding of PA on the metabolic pathways related to health outcomes. The aim of the present study was to study the association of accelerometer based sedentary time (SB) and PA with metabolome measures. SB and PA were measured by a hip-worn accelerometer in 314 young adult men (age: mean 28, standard deviation 7 years). Metabolome was analyzed from fasting serum samples consisting of 66 metabolome measures (nuclear magnetic resonance-based metabolomics). The associations were analyzed using a single and compositional approach with regression analysis. The compositional analysis revealed that 4 metabolome variables were significantly (γ: 0.32−0.44, p ≤ 0.002), and 13 variables with a trend towards significance (p < 0.05), associated with SB with varying metabolic pathways. Trends towards significant associations (p < 0.05) were observed with 5 variables with moderate-to-vigorous and 1 variable with light intensity PA with varying metabolic pathways. The present study revealed possible mechanistic pathways relevant for the interaction between especially SB but also PA of moderate-to-vigorous intensity with ketone bodies and amino acid concentration related to exercised-induced energy production and lipid metabolism.
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Research in the Field of Exercise and Metabolomics: A Bibliometric and Visual Analysis. Metabolites 2022; 12:metabo12060542. [PMID: 35736475 PMCID: PMC9230385 DOI: 10.3390/metabo12060542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 05/31/2022] [Accepted: 06/10/2022] [Indexed: 11/17/2022] Open
Abstract
The aim of this article was to conduct a bibliometric analysis of global research trends in the field of exercise and metabolomics between 2005 and 2020. Systematic articles were obtained from the literature in the Web of Science core collection database from 2005 to 2020. The relationship between the number of publications, citations, countries, journals, authors, and the evolution of research hotspots was analyzed. A total of 807 studies were included in the analysis. From 2005 to 2020, the number of citations and the number of published articles showed an upward trend. Keyword co-occurrence indicates that research hotspots are focused on exercise, physical activity, metabolomics, obesity, insulin resistance, inflammation, and cardiovascular disease. Keyword clustering indicates that the research frontier is focused on the field of sports medicine, which includes molecular-level studies of exercise interventions in disease and studies of the physiological mechanisms by which exercise alters the body. Overall, this trinity of models, combining chronic disease with exercise interventions and molecular-level studies of metabolomics, has become the forefront of research in the field. This historical review of the field of exercise and metabolomics will further provide a useful basis for hot issues and future development trends.
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Haupt S, Niedrist T, Sourij H, Schwarzinger S, Moser O. The Impact of Exercise on Telomere Length, DNA Methylation and Metabolic Footprints. Cells 2022; 11:153. [PMID: 35011715 PMCID: PMC8750279 DOI: 10.3390/cells11010153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 12/30/2021] [Accepted: 12/31/2021] [Indexed: 02/05/2023] Open
Abstract
Aging as a major risk factor influences the probability of developing cancer, cardiovascular disease and diabetes, amongst others. The underlying mechanisms of disease are still not fully understood, but research suggests that delaying the aging process could ameliorate these pathologies. A key biological process in aging is cellular senescence which is associated with several stressors such as telomere shortening or enhanced DNA methylation. Telomere length as well as DNA methylation levels can be used as biological age predictors which are able to detect excessive acceleration or deceleration of aging. Analytical methods examining aging are often not suitable, expensive, time-consuming or require a high level of technical expertise. Therefore, research focusses on combining analytical methods which have the potential to simultaneously analyse epigenetic, genomic as well as metabolic changes.
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Affiliation(s)
- Sandra Haupt
- Division of Exercise Physiology and Metabolism, Department of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany;
| | - Tobias Niedrist
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8010 Graz, Austria;
| | - Harald Sourij
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8010 Graz, Austria;
| | - Stephan Schwarzinger
- NBNC—North Bavarian NMR-Centre, University of Bayreuth, 95440 Bayreuth, Germany;
| | - Othmar Moser
- Division of Exercise Physiology and Metabolism, Department of Sport Science, University of Bayreuth, 95440 Bayreuth, Germany;
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Department of Internal Medicine, Medical University of Graz, 8010 Graz, Austria;
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Khan AL, Al-Harrasi A, Numan M, AbdulKareem NM, Mabood F, Al-Rawahi A. Spectroscopic and Molecular Methods to Differentiate Gender in Immature Date Palm ( Phoenix dactylifera L.). PLANTS (BASEL, SWITZERLAND) 2021; 10:536. [PMID: 33809251 PMCID: PMC8001243 DOI: 10.3390/plants10030536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 03/05/2021] [Accepted: 03/09/2021] [Indexed: 11/29/2022]
Abstract
Phoenix dactylifera (date palm) is a well-known nutritious and economically important fruit tree found in arid regions of the Middle East and North Africa. Being diploid, it has extremely high divergence in gender, where sex differentiation in immature date palms (Phoenix dactylifera L.) has remained an enigma in recent years. Herein, new robust infrared (near-infrared reflectance spectroscopy (NIRS) and Fourier transform infrared attenuated total reflectance (FTIR/ATR)) and nuclear magnetic resonance (NMR) spectroscopy methods coupled with extensive chemometric analysis were used to identify the sex differentiation in immature date palm leaves. NIRS/FTIR reflectance and 1H-NMR profiling suggested that the signals of monosaccharides (glucose and fructose) and/or disaccharides (maltose and sucrose) play key roles in sex differentiation. The three kinds of spectroscopic data were clearly differentiated among known and unknown male and female leaves via principal component and partial least square discriminant analyses. Furthermore, sex-specific genes and molecular markers obtained from the lower halves of LG12 chromosomes showed enhanced transcript accumulation of mPdIRDP52, mPdIRDP50, and PDK101 in females compared with in males. The phylogeny showed that the mPdIRD033, mPdIRD031, and mPdCIR032 markers formed distinctive clades with more than 70% similarity in gender differentiation. The three robust analyses provide an alternative tool to differentiate sex in date palm trees, which offers a solution to the long-standing challenge of dioecism and could enhance in situ tree propagation programs.
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Affiliation(s)
- Abdul Latif Khan
- Natural & Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman; (A.L.K.); (N.M.A.); (A.A.-R.)
| | - Ahmed Al-Harrasi
- Natural & Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman; (A.L.K.); (N.M.A.); (A.A.-R.)
| | - Muhammad Numan
- Department of Biology, University of North Carolina, Greensboro, NC 27402-6170, USA;
| | - Noor Mazin AbdulKareem
- Natural & Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman; (A.L.K.); (N.M.A.); (A.A.-R.)
| | - Fazal Mabood
- Institute of Chemical Sciences, University of Swat, Khyber Pakhtunkhwa 19200, Pakistan
| | - Ahmed Al-Rawahi
- Natural & Medical Sciences Research Center, University of Nizwa, Nizwa 616, Oman; (A.L.K.); (N.M.A.); (A.A.-R.)
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Kelly RS, Kelly MP, Kelly P. Metabolomics, physical activity, exercise and health: A review of the current evidence. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165936. [PMID: 32827647 DOI: 10.1016/j.bbadis.2020.165936] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 08/12/2020] [Accepted: 08/14/2020] [Indexed: 01/09/2023]
Abstract
Physical activity (PA) and exercise are among the most important determinants of health. However, PA is a complex and heterogeneous behavior and the biological mechanisms through which it impacts individuals and populations in different ways are not well understood. Genetics and environment likely play pivotal roles but further work is needed to understand their relative contributions and how they may be mediated. Metabolomics offers a promising approach to explore these relationships. In this review, we provide a comprehensive appraisal of the PA-metabolomics literature to date. This overwhelmingly supports the hypothesis of a metabolomic response to PA, which can differ between groups and individuals. It also suggests a biological gradient in this response based on PA intensity, with some evidence for global longer-term changes in the metabolome of highly active individuals. However, many questions remain and we conclude by highlighting future critical research avenues to help elucidate the role of PA in the maintenance of health and the development of disease.
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Affiliation(s)
- Rachel S Kelly
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Michael P Kelly
- Primary Care Unit, Department of Public Health and Primary Care, University of Cambridge, Forvie Site, Cambridge CB2 0SR. UK.
| | - Paul Kelly
- Physical Activity for Health Research Center (PAHRC), University of Edinburgh, St Leonard's Land, Edinburgh EH8 8AQ, UK.
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Zheng H, Zhu Y, Shao X, Cai A, Dong B, Xue W, Gao H. Distinct Metabolic Signatures of Hormone-Sensitive and Castration-Resistant Prostate Cancer Revealed by a 1H NMR-Based Metabolomics of Biopsy Tissue. J Proteome Res 2020; 19:3741-3749. [PMID: 32702989 DOI: 10.1021/acs.jproteome.0c00282] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Hong Zheng
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Yinjie Zhu
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Xiaoguang Shao
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Aimin Cai
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Baijun Dong
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Wei Xue
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Hongchang Gao
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
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Caterino M, Ruoppolo M, Villani GRD, Marchese E, Costanzo M, Sotgiu G, Dore S, Franconi F, Campesi I. Influence of Sex on Urinary Organic Acids: A Cross-Sectional Study in Children. Int J Mol Sci 2020; 21:ijms21020582. [PMID: 31963255 PMCID: PMC7013514 DOI: 10.3390/ijms21020582] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Revised: 01/07/2020] [Accepted: 01/13/2020] [Indexed: 12/12/2022] Open
Abstract
The characterization of urinary metabolome, which provides a fingerprint for each individual, is an important step to reach personalized medicine. It is influenced by exogenous and endogenous factors; among them, we investigated sex influences on 72 organic acids measured through GC-MS analysis in the urine of 291 children (152 males; 139 females) aging 1–36 months and stratified in four groups of age. Among the 72 urinary metabolites, in all age groups, 4-hydroxy-butirate and homogentisate are found only in males, whereas 3-hydroxy-dodecanoate, methylcitrate, and phenylacetate are found only in females. Sex differences are still present after age stratification being more numerous during the first 6 months of life. The most relevant sex differences involve the mitochondria homeostasis. In females, citrate cycle, glyoxylate and dicarboxylate metabolism, alanine, aspartate, glutamate, and butanoate metabolism had the highest impact. In males, urinary organic acids were involved in phenylalanine metabolism, citrate cycle, alanine, aspartate and glutamate metabolism, butanoate metabolism, and glyoxylate and dicarboxylate metabolism. In addition, age specifically affected metabolic pathways, the phenylalanine metabolism pathway being affected by age only in males. Relevantly, the age-influenced ranking of metabolic pathways varied in the two sexes. In conclusion, sex deeply influences both quantitatively and qualitatively urinary organic acids levels, the effect of sex being age dependent. Importantly, the sex effects depend on the single organic acid; thus, in some cases the urinary organic acid reference values should be stratified according the sex and age.
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Affiliation(s)
- Marianna Caterino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
| | - Margherita Ruoppolo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
- Correspondence: (M.R.); (I.C.); Tel.: +39-08-1373-7850 (M.R.); +39-0-7922-8518 (I.C.)
| | - Guglielmo Rosario Domenico Villani
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
| | - Emanuela Marchese
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
- Department of Mental and Physical Health, Preventive Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Michele Costanzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples ‘Federico II’, 80131 Napoli, Italy; (M.C.); (G.R.D.V.); (M.C.)
- CEINGE—Biotecnologie Avanzate Scarl, 80145 Naples, Italy;
| | - Giovanni Sotgiu
- Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy; (G.S.); (S.D.)
| | - Simone Dore
- Clinical Epidemiology and Medical Statistics Unit, Department of Medical, Surgical and Experimental Sciences, University of Sassari, 07100 Sassari, Italy; (G.S.); (S.D.)
| | - Flavia Franconi
- Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100 Sassari, Italy;
| | - Ilaria Campesi
- Laboratory of Sex-Gender Medicine, National Institute of Biostructures and Biosystems, 07100 Sassari, Italy;
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy
- Correspondence: (M.R.); (I.C.); Tel.: +39-08-1373-7850 (M.R.); +39-0-7922-8518 (I.C.)
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Pharmacometabolomics of Bronchodilator Response in Asthma and the Role of Age-Metabolite Interactions. Metabolites 2019; 9:metabo9090179. [PMID: 31500319 PMCID: PMC6780678 DOI: 10.3390/metabo9090179] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 08/29/2019] [Accepted: 09/03/2019] [Indexed: 12/16/2022] Open
Abstract
The role of metabolism in modifying age-related differential responses to asthma medications is insufficiently understood. The objective of this study was to determine the role of the metabolome in modifying the effect of age on bronchodilator response (BDR) in individuals with asthma. We used longitudinal measures of BDR and plasma metabolomic profiling in 565 children with asthma from the Childhood Asthma Management Program (CAMP) to identify age by metabolite interactions on BDR. The mean ages at the three studied time-points across 16 years of follow-up in CAMP were 8.8, 12.8, and 16.8 years; the mean BDRs were 11%, 9% and 8%, respectively. Of 501 identified metabolites, 39 (7.8%) demonstrated a significant interaction with age on BDR (p-value < 0.05). We were able to validate two significant interactions in 320 children with asthma from the Genetics of Asthma in Costa Rica Study; 2-hydroxyglutarate, a compound involved in butanoate metabolism (interaction; CAMP: β = -0.004, p = 1.8 × 10-4; GACRS: β = -0.015, p = 0.018), and a cholesterol ester; CE C18:1 (CAMP: β = 0.005, p = 0.006; GACRS: β = 0.023, p = 0.041) Five additional metabolites had a p-value < 0.1 in GACRS, including Gammaminobutyric acid (GABA), C16:0 CE, C20:4 CE, C18.0 CE and ribothymidine. These findings suggest Cholesterol esters and GABA may modify the estimated effect of age on bronchodilator response.
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Chen Z, Newgard CB, Kim JS, IIkayeva O, Alderete TL, Thomas DC, Berhane K, Breton C, Chatzi L, Bastain TM, McConnell R, Avol E, Lurmann F, Muehlbauer MJ, Hauser ER, Gilliland FD. Near-roadway air pollution exposure and altered fatty acid oxidation among adolescents and young adults - The interplay with obesity. ENVIRONMENT INTERNATIONAL 2019; 130:104935. [PMID: 31238265 PMCID: PMC6679991 DOI: 10.1016/j.envint.2019.104935] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 06/06/2019] [Accepted: 06/14/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Air pollution exposure has been shown to increase the risk of obesity and metabolic dysfunction in animal models and human studies. However, the metabolic pathways altered by air pollution exposure are unclear, especially in adolescents and young adults who are at a critical period in the development of cardio-metabolic diseases. OBJECTIVES The aim of this study was to examine the associations between air pollution exposure and indices of fatty acid and amino acid metabolism. METHODS A total of 173 young adults (18-23 years) from eight Children's Health Study (CHS) Southern California communities were examined from 2014 to 2018. Near-roadway air pollution (NRAP) exposure (freeway and non-freeway) and regional air pollution exposure (nitrogen dioxide, ozone and particulate matter) during one year before the study visit were estimated based on participants' residential addresses. Serum concentrations of 64 targeted metabolites including amino acids, acylcarnitines, non-esterified fatty acid (NEFA) and glycerol were measured in fasting serum samples. Principal component analysis of metabolites was performed to identify metabolite clusters that represent key metabolic pathways. Mixed effects models were used to analyze the associations of air pollution exposure with metabolomic principal component (PC) scores and individual metabolite concentrations adjusting for potential confounders. RESULTS Higher lagged one-year averaged non-freeway NRAP exposure was associated with higher concentrations of NEFA oxidation byproducts and higher NEFA-related PC score (all p's ≤ 0.038). The effect sizes were larger among obese individuals (interaction p = 0.047). Among females, higher freeway NRAP exposure was also associated with a higher NEFA-related PC score (p = 0.042). Among all participants, higher freeway NRAP exposure was associated with a lower PC score for lower concentrations of short- and median-chain acylcarnitines (p = 0.044). CONCLUSIONS Results of this study indicate that NRAP exposure is associated with altered fatty acid metabolism, which could contribute to the metabolic perturbation in obese youth.
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Affiliation(s)
- Zhanghua Chen
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
| | - Christopher B Newgard
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Jeniffer S Kim
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Olga IIkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado at Boulder, Boulder, CO, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Kiros Berhane
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Carrie Breton
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Leda Chatzi
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Rob McConnell
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Edward Avol
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | | | - Michael J Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Frank D Gilliland
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
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12
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Troisi J, Belmonte F, Bisogno A, Pierri L, Colucci A, Scala G, Cavallo P, Mandato C, Di Nuzzi A, Di Michele L, Delli Bovi AP, Guercio Nuzio S, Vajro P. Metabolomic Salivary Signature of Pediatric Obesity Related Liver Disease and Metabolic Syndrome. Nutrients 2019; 11:nu11020274. [PMID: 30691143 PMCID: PMC6412994 DOI: 10.3390/nu11020274] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2018] [Revised: 01/16/2019] [Accepted: 01/21/2019] [Indexed: 12/11/2022] Open
Abstract
Pediatric obesity-related metabolic syndrome (MetS) and nonalcoholic fatty liver disease (NAFLD) are increasingly frequent conditions with a still-elusive diagnosis and low-efficacy treatment and monitoring options. In this study, we investigated the salivary metabolomic signature, which has been uncharacterized to date. In this pilot-nested case-control study over a transversal design, 41 subjects (23 obese patients and 18 normal weight (NW) healthy controls), characterized based on medical history, clinical, anthropometric, and laboratory data, were recruited. Liver involvement, defined according to ultrasonographic liver brightness, allowed for the allocation of the patients into four groups: obese with hepatic steatosis ([St+], n = 15) and without hepatic steatosis ([St–], n = 8), and with (n = 10) and without (n = 13) MetS. A partial least squares discriminant analysis (PLS-DA) model was devised to classify the patients’ classes based on their salivary metabolomic signature. Pediatric obesity and its related liver disease and metabolic syndrome appear to have distinct salivary metabolomic signatures. The difference is notable in metabolites involved in energy, amino and organic acid metabolism, as well as in intestinal bacteria metabolism, possibly reflecting diet, fatty acid synthase pathways, and the strict interaction between microbiota and intestinal mucins. This information expands the current understanding of NAFLD pathogenesis, potentially translating into better targeted monitoring and/or treatment strategies in the future.
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Affiliation(s)
- Jacopo Troisi
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
- Theoreo srl, Via degli Ulivi 3, 84090 Montecorvino Pugliano (SA), Italy.
- European Biomedical Research Institute of Salerno (EBRIS), Via S. de Renzi, 3, 84125 Salerno, Italy.
- Hosmotic srl, Via R. Bosco 178, 80069 Vico Equense (NA), Italy.
| | - Federica Belmonte
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
| | - Antonella Bisogno
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
| | - Luca Pierri
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
| | - Angelo Colucci
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
- Theoreo srl, Via degli Ulivi 3, 84090 Montecorvino Pugliano (SA), Italy.
| | - Giovanni Scala
- Hosmotic srl, Via R. Bosco 178, 80069 Vico Equense (NA), Italy.
| | - Pierpaolo Cavallo
- Department of Physics, University of Salerno, 84084 Fisciano (Salerno), Italy.
| | - Claudia Mandato
- Department of Pediatrics, Children's Hospital Santobono-Pausilipon, 80129 Naples, Italy.
| | - Antonella Di Nuzzi
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
| | - Laura Di Michele
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
| | - Anna Pia Delli Bovi
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
| | - Salvatore Guercio Nuzio
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
| | - Pietro Vajro
- Department of Medicine and Surgery and Dentistry, "Scuola Medica Salernitana", Pediatrics Section University of Salerno, 84081 Baronissi (Salerno), Italy.
- European Laboratory of Food Induced Intestinal Disease (ELFID), University of Naples Federico II, 80100 Naples, Italy.
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13
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Martin FPJ, Montoliu I, Kussmann M. Metabonomics of ageing – Towards understanding metabolism of a long and healthy life. Mech Ageing Dev 2017; 165:171-179. [DOI: 10.1016/j.mad.2016.12.009] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 12/21/2016] [Indexed: 12/18/2022]
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14
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Tognon G, Nilsson LM, Shungin D, Lissner L, Jansson JH, Renström F, Wennberg M, Winkvist A, Johansson I. Nonfermented milk and other dairy products: associations with all-cause mortality. Am J Clin Nutr 2017; 105:1502-1511. [PMID: 28490510 PMCID: PMC6546226 DOI: 10.3945/ajcn.116.140798] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Accepted: 04/05/2017] [Indexed: 11/14/2022] Open
Abstract
Background: A positive association between nonfermented milk intake and increased all-cause mortality was recently reported, but overall, the association between dairy intake and mortality is inconclusive.Objective: We studied associations between intake of dairy products and all-cause mortality with an emphasis on nonfermented milk and fat content.Design: A total of 103,256 adult participants (women: 51.0%) from Northern Sweden were included (7121 deaths; mean follow-up: 13.7 y). Associations between all-cause mortality and reported intakes of nonfermented milk (total or by fat content), fermented milk, cheese, and butter were tested with the use of Cox proportional hazards models that were adjusted for age, sex, body mass index, smoking status, education, energy intake, examination year, and physical activity. To circumvent confounding, Mendelian randomization was applied in a subsample via the lactase LCT-13910 C/T single nucleotide polymorphism that is associated with lactose tolerance and milk intake.Results: High consumers of nonfermented milk (≥2.5 times/d) had a 32% increased hazard (HR: 1.32; 95% CI: 1.18, 1.48) for all-cause mortality compared with that of subjects who consumed milk ≤1 time/wk. The corresponding value for butter was 11% (HR: 1.11; 95% CI: 1.07, 1.21). All nonfermented milk-fat types were independently associated with increased HRs, but compared with full-fat milk, HRs were lower in consumers of medium- and low-fat milk. Fermented milk intake (HR: 0.90; 95% CI: 0.86, 0.94) and cheese intake (HR: 0.93; 95% CI: 0.91, 0.96) were negatively associated with mortality. Results were slightly attenuated by lifestyle adjustments but were robust in sensitivity analyses. Mortality was not significantly associated with the LCT-13910 C/T genotype in the smaller subsample. The amount and type of milk intake was associated with lifestyle variables.Conclusions: In the present Swedish cohort study, intakes of nonfermented milk and butter are associated with higher all-cause mortality, and fermented milk and cheese intakes are associated with lower all-cause mortality. Residual confounding by lifestyle cannot be excluded, and Mendelian randomization needs to be examined in a larger sample.
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Affiliation(s)
- Gianluca Tognon
- Section for Epidemiology and Social Medicine, Department of Public Health and Community Medicine, and
| | - Lena M Nilsson
- Arcum, Arctic Research Center at Umeå University, Umeå, Sweden
| | - Dmitry Shungin
- Odontology,Public Health and Clinical Medicine, Nutritional Research, Umeå University,
Umeå, Sweden
| | - Lauren Lissner
- Section for Epidemiology and Social Medicine, Department of Public Health
and Community Medicine
| | | | - Frida Renström
- Departments of Biobank Research,Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Maria Wennberg
- Public Health and Clinical Medicine, Nutritional Research, Umeå University,
Umeå, Sweden
| | - Anna Winkvist
- Department of Internal Medicine and Clinical Nutrition, Sahlgrenska Academy,
University of Gothenburg, Gothenburg, Sweden,Public Health and Clinical Medicine, Nutritional Research, Umeå University,
Umeå, Sweden
| | - Ingegerd Johansson
- Odontology,Public Health and Clinical Medicine, Nutritional Research, Umeå University,
Umeå, Sweden
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15
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Troisi J, Pierri L, Landolfi A, Marciano F, Bisogno A, Belmonte F, Palladino C, Guercio Nuzio S, Campiglia P, Vajro P. Urinary Metabolomics in Pediatric Obesity and NAFLD Identifies Metabolic Pathways/Metabolites Related to Dietary Habits and Gut-Liver Axis Perturbations. Nutrients 2017; 9:nu9050485. [PMID: 28492501 PMCID: PMC5452215 DOI: 10.3390/nu9050485] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2017] [Revised: 04/28/2017] [Accepted: 05/06/2017] [Indexed: 02/07/2023] Open
Abstract
To get insight into still elusive pathomechanisms of pediatric obesity and non-alcoholic fatty liver disease (NAFLD) we explored the interplay among GC-MS studied urinary metabolomic signature, gut liver axis (GLA) abnormalities, and food preferences (Kid-Med). Intestinal permeability (IP), small intestinal bacterial overgrowth (SIBO), and homeostatic model assessment-insulin resistance were investigated in forty children (mean age 9.8 years) categorized as normal weight (NW) or obese (body mass index <85th or >95th percentile, respectively) ± ultrasonographic bright liver and hypertransaminasemia (NAFLD). SIBO was increased in all obese children (p = 0.0022), IP preferentially in those with NAFLD (p = 0.0002). The partial least-square discriminant analysis of urinary metabolome correctly allocated children based on their obesity, NAFLD, visceral fat, pathological IP and SIBO. Compared to NW, obese children had (1) higher levels of glucose/1-methylhistidine, the latter more markedly in NAFLD patients; and (2) lower levels of xylitol, phenyl acetic acid and hydroquinone, the latter especially in children without NAFLD. The metabolic pathways of BCAA and/or their metabolites correlated with excess of visceral fat centimeters (leucine/oxo-valerate), and more deranged IP and SIBO (valine metabolites). Urinary metabolome analysis contributes to define a metabolic fingerprint of pediatric obesity and related NAFLD, by identifying metabolic pathways/metabolites reflecting typical obesity dietary habits and GLA perturbations.
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Affiliation(s)
- Jacopo Troisi
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
- Theoreo srl, Via degli Ulivi 3, 84090 Montecorvino Pugliano (SA), Italy.
| | - Luca Pierri
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
| | - Annamaria Landolfi
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
| | - Francesca Marciano
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
| | - Antonella Bisogno
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
| | - Federica Belmonte
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
| | - Carmen Palladino
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
| | - Salvatore Guercio Nuzio
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
| | - Pietro Campiglia
- Department of Pharmacy, University of Salerno, Via G. Paolo II, 84084 Fisciano (SA), Italy.
| | - Pietro Vajro
- Department of Medicine, Surgery and Dentistry "Scuola Medica Salernitana", Pediatric Section, University of Salerno, Via S. Allende, 84081 Baronissi (SA), Italy.
- European Laboratory of Food Induced Disease (ELFID), 80100 Naples, Italy.
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16
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Maitre L, Lau CHE, Vizcaino E, Robinson O, Casas M, Siskos AP, Want EJ, Athersuch T, Slama R, Vrijheid M, Keun HC, Coen M. Assessment of metabolic phenotypic variability in children's urine using 1H NMR spectroscopy. Sci Rep 2017; 7:46082. [PMID: 28422130 PMCID: PMC5395814 DOI: 10.1038/srep46082] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 03/08/2017] [Indexed: 12/02/2022] Open
Abstract
The application of metabolic phenotyping in clinical and epidemiological studies is limited by a poor understanding of inter-individual, intra-individual and temporal variability in metabolic phenotypes. Using 1H NMR spectroscopy we characterised short-term variability in urinary metabolites measured from 20 children aged 8-9 years old. Daily spot morning, night-time and pooled (50:50 morning and night-time) urine samples across six days (18 samples per child) were analysed, and 44 metabolites quantified. Intraclass correlation coefficients (ICC) and mixed effect models were applied to assess the reproducibility and biological variance of metabolic phenotypes. Excellent analytical reproducibility and precision was demonstrated for the 1H NMR spectroscopic platform (median CV 7.2%). Pooled samples captured the best inter-individual variability with an ICC of 0.40 (median). Trimethylamine, N-acetyl neuraminic acid, 3-hydroxyisobutyrate, 3-hydroxybutyrate/3-aminoisobutyrate, tyrosine, valine and 3-hydroxyisovalerate exhibited the highest stability with over 50% of variance specific to the child. The pooled sample was shown to capture the most inter-individual variance in the metabolic phenotype, which is of importance for molecular epidemiology study design. A substantial proportion of the variation in the urinary metabolome of children is specific to the individual, underlining the potential of such data to inform clinical and exposome studies conducted early in life.
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Affiliation(s)
- Léa Maitre
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
| | - Chung-Ho E. Lau
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Institute of Reproductive and Developmental Biology (IRDB), Hammersmith Hospital, London W12 0NN, UK
| | - Esther Vizcaino
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
| | - Oliver Robinson
- MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Maribel Casas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Alexandros P. Siskos
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Institute of Reproductive and Developmental Biology (IRDB), Hammersmith Hospital, London W12 0NN, UK
| | - Elizabeth J. Want
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
| | - Toby Athersuch
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
- MRC-PHE Centre for Environment and Health, School of Public Health, Faculty of Medicine, Imperial College London, London, W2 1PG, UK
| | - Remy Slama
- Inserm, Univ. Grenoble Alpes, CNRS, IAB (Institute of Advanced Biosciences), Team of Environmental Epidemiology applied to Reproduction and Respiratory Health, F-38000 Grenoble, France
| | - Martine Vrijheid
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL) Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Hector C. Keun
- Division of Cancer, Department of Surgery and Cancer, Imperial College London, Institute of Reproductive and Developmental Biology (IRDB), Hammersmith Hospital, London W12 0NN, UK
| | - Muireann Coen
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, SW7 2AZ, UK
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17
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Coexistence of obesity and asthma determines a distinct respiratory metabolic phenotype. J Allergy Clin Immunol 2016; 139:1536-1547.e5. [PMID: 27746236 DOI: 10.1016/j.jaci.2016.08.038] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 07/23/2016] [Accepted: 08/09/2016] [Indexed: 12/13/2022]
Abstract
BACKGROUND Epidemiologic and clinical evidence supports the existence of an obesity-related asthma phenotype. No distinct pathophysiologic elements or specific biomarkers have been identified thus far, but increased oxidative stress has been reported. OBJECTIVE We aimed at verifying whether metabolomics of exhaled breath condensate from obese asthmatic (OA) patients, lean asthmatic (LA) patients, and obese nonasthmatic (ONA) subjects could recognize specific and statistically validated biomarkers for a separate "asthma-obesity" respiratory metabolic phenotype, here defined as "metabotype." METHODS Twenty-five OA patients, 30 ONA subjects, and 30 mild-to-moderate LA age-matched patients participated in a cross-sectional study. Nuclear magnetic resonance (NMR) profiles were analyzed by using partial least-squares discriminant analysis, and the results were validated with an independent patient set. RESULTS From NMR profiles, we obtained strong regression models that distinguished OA patients from ONA subjects (quality parameters: goodness-of-fit parameter [R2] = 0.81 and goodness-of-prediction parameter [Q2] = 0.79), as well as OA patients from LA patients (R2 = 0.91 and Q2 = 0.89). The all-classes comparison (R2 = 0.86 and Q2 = 0.83) indicated that OA patients possess a respiratory metabolic profile fully divergent from those obtained in the other patient groups. We also identified specific biomarkers for between-class separation, which are independent from clinical bias. They are involved in the methane, pyruvate, and glyoxylate and dicarboxylate metabolic pathways. CONCLUSIONS NMR-based metabolomics indicates that OA patients are characterized by a respiratory metabolic fingerprint fully different from that of patients independently affected by asthma or obesity. Such a phenotypic difference strongly suggests unique pathophysiologic pathways involved in the pathogenesis of asthma in adult obese subjects. Furthermore, the OA metabotype could define a strategy for patient stratification based on unbiased biomarkers, with important diagnostic and therapeutic implications.
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Zheng H, Lorenzen JK, Astrup A, Larsen LH, Yde CC, Clausen MR, Bertram HC. Metabolic Effects of a 24-Week Energy-Restricted Intervention Combined with Low or High Dairy Intake in Overweight Women: An NMR-Based Metabolomics Investigation. Nutrients 2016; 8:108. [PMID: 26907339 PMCID: PMC4808838 DOI: 10.3390/nu8030108] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2016] [Revised: 02/10/2016] [Accepted: 02/16/2016] [Indexed: 02/07/2023] Open
Abstract
We investigated the effect of a 24-week energy-restricted intervention with low or high dairy intake (LD or HD) on the metabolic profiles of urine, blood and feces in overweight/obese women by NMR spectroscopy combined with ANOVA-simultaneous component analysis (ASCA). A significant effect of dairy intake was found on the urine metabolome. HD intake increased urinary citrate, creatinine and urea excretion, and decreased urinary excretion of trimethylamine-N-oxide (TMAO) and hippurate relative to the LD intake, suggesting that HD intake was associated with alterations in protein catabolism, energy metabolism and gut microbial activity. In addition, a significant time effect on the blood metabolome was attributed to a decrease in blood lipid and lipoprotein levels due to the energy restriction. For the fecal metabolome, a trend for a diet effect was found and a series of metabolites, such as acetate, butyrate, propionate, malonate, cholesterol and glycerol tended to be affected. Overall, even though these effects were not accompanied by a higher weight loss, the present metabolomics data reveal that a high dairy intake is associated with endogenous metabolic effects and effects on gut microbial activity that potentially impact body weight regulation and health. Moreover, ASCA has a great potential for exploring the effect of intervention factors and identifying altered metabolites in a multi-factorial metabolomic study.
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Affiliation(s)
- Hong Zheng
- Department of Food Science, Aarhus University, Kirstinebjergvej 10, Aarslev DK-5792, Denmark.
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China.
| | - Janne K Lorenzen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg C DK-1958, Denmark.
| | - Arne Astrup
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg C DK-1958, Denmark.
| | - Lesli H Larsen
- Department of Nutrition, Exercise and Sports, University of Copenhagen, Frederiksberg C DK-1958, Denmark.
| | - Christian C Yde
- Department of Food Science, Aarhus University, Kirstinebjergvej 10, Aarslev DK-5792, Denmark.
| | - Morten R Clausen
- Department of Food Science, Aarhus University, Kirstinebjergvej 10, Aarslev DK-5792, Denmark.
| | - Hanne Christine Bertram
- Department of Food Science, Aarhus University, Kirstinebjergvej 10, Aarslev DK-5792, Denmark.
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Plasma Metabolic Profiles in Women are Menopause Dependent. PLoS One 2015; 10:e0141743. [PMID: 26580805 PMCID: PMC4651324 DOI: 10.1371/journal.pone.0141743] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 10/11/2015] [Indexed: 12/31/2022] Open
Abstract
Menopause is an endocrinological transition that greatly affects health and disease susceptibility in middle-aged and elderly women. To gain new insights into the metabolic process of menopause, plasma metabolic profiles in 115 pre- and post-menopausal women were systematically analyzed by ultra-performance liquid chromatography/mass spectrometry in conjunction with univariate and multivariate statistical analysis. Metabolic signatures revealed considerable differences between pre- and post-menopausal women, and clear separations were observed between the groups in partial least-squares discriminant analysis score plots. In total, 28 metabolites were identified as potential metabolite markers for menopause, including up-regulated acylcarnitines, fatty acids, lysophosphatidylcholines, lysophosphatidylethanolamines, and down-regulated pregnanediol-3-glucuronide, dehydroepiandrosterone sulfate, p-hydroxyphenylacetic acid and dihydrolipoic acid. These differences highlight that significant alterations occur in fatty acid β-oxidation, phospholipid metabolism, hormone metabolism and amino acid metabolism in post-menopausal women. In conclusion, our plasma metabolomics study provides novel understanding of the metabolic profiles related to menopause, and will be useful for investigating menopause-related diseases and assessing metabolomic confounding factors.
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20
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Fructose-enriched diet induces inflammation and reduces antioxidative defense in visceral adipose tissue of young female rats. Eur J Nutr 2015; 56:151-160. [PMID: 26433940 DOI: 10.1007/s00394-015-1065-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2015] [Accepted: 09/25/2015] [Indexed: 01/01/2023]
Abstract
PURPOSE The consumption of refined, fructose-enriched food continuously increases and has been linked to development of obesity, especially in young population. Low-grade inflammation and increased oxidative stress have been implicated in the pathogenesis of obesity-related disorders including type 2 diabetes. In this study, we examined alterations in inflammation and antioxidative defense system in the visceral adipose tissue (VAT) of fructose-fed young female rats, and related them to changes in adiposity and insulin sensitivity. METHODS We examined the effects of 9-week fructose-enriched diet applied immediately after weaning on nuclear factor κB (NF-κB) intracellular distribution, and on the expression of pro-inflammatory cytokines (IL-1β and TNFα) and key antioxidative enzymes in the VAT of female rats. Insulin signaling in the VAT was evaluated at the level of insulin receptor substrate-1 (IRS-1) protein and its inhibitory phosphorylation on Ser307. RESULTS Fructose-fed rats had increased VAT mass along with increased NF-κB nuclear accumulation and elevated IL-1β, but not TNFα expression. The protein levels of antioxidative defense enzymes, mitochondrial manganese superoxide dismutase 2, and glutathione peroxidase, were reduced, while the protein content of IRS-1 and its inhibitory phosphorylation were not altered by fructose diet. CONCLUSIONS The results suggest that fructose overconsumption-related alterations in pro-inflammatory markers and antioxidative capacity in the VAT of young female rats can be implicated in the development of adiposity, but do not affect inhibitory phosphorylation of IRS-1.
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Metabolomics to Explore Impact of Dairy Intake. Nutrients 2015; 7:4875-96. [PMID: 26091233 PMCID: PMC4488821 DOI: 10.3390/nu7064875] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 05/25/2015] [Accepted: 06/04/2015] [Indexed: 02/07/2023] Open
Abstract
Dairy products are an important component in the Western diet and represent a valuable source of nutrients for humans. However, a reliable dairy intake assessment in nutrition research is crucial to correctly elucidate the link between dairy intake and human health. Metabolomics is considered a potential tool for assessment of dietary intake instead of traditional methods, such as food frequency questionnaires, food records, and 24-h recalls. Metabolomics has been successfully applied to discriminate between consumption of different dairy products under different experimental conditions. Moreover, potential metabolites related to dairy intake were identified, although these metabolites need to be further validated in other intervention studies before they can be used as valid biomarkers of dairy consumption. Therefore, this review provides an overview of metabolomics for assessment of dairy intake in order to better clarify the role of dairy products in human nutrition and health.
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22
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Zheng H, Yde CC, Dalsgaard TK, Arnberg K, Mølgaard C, Michaelsen KF, Larnkjær A, Bertram HC. Nuclear magnetic resonance-based metabolomics reveals that dairy protein fractions affect urinary urea excretion differently in overweight adolescents. Eur Food Res Technol 2014. [DOI: 10.1007/s00217-014-2347-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Demine S, Reddy N, Renard P, Raes M, Arnould T. Unraveling biochemical pathways affected by mitochondrial dysfunctions using metabolomic approaches. Metabolites 2014; 4:831-78. [PMID: 25257998 PMCID: PMC4192695 DOI: 10.3390/metabo4030831] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2014] [Revised: 09/02/2014] [Accepted: 09/18/2014] [Indexed: 02/06/2023] Open
Abstract
Mitochondrial dysfunction(s) (MDs) can be defined as alterations in the mitochondria, including mitochondrial uncoupling, mitochondrial depolarization, inhibition of the mitochondrial respiratory chain, mitochondrial network fragmentation, mitochondrial or nuclear DNA mutations and the mitochondrial accumulation of protein aggregates. All these MDs are known to alter the capacity of ATP production and are observed in several pathological states/diseases, including cancer, obesity, muscle and neurological disorders. The induction of MDs can also alter the secretion of several metabolites, reactive oxygen species production and modify several cell-signalling pathways to resolve the mitochondrial dysfunction or ultimately trigger cell death. Many metabolites, such as fatty acids and derived compounds, could be secreted into the blood stream by cells suffering from mitochondrial alterations. In this review, we summarize how a mitochondrial uncoupling can modify metabolites, the signalling pathways and transcription factors involved in this process. We describe how to identify the causes or consequences of mitochondrial dysfunction using metabolomics (liquid and gas chromatography associated with mass spectrometry analysis, NMR spectroscopy) in the obesity and insulin resistance thematic.
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Affiliation(s)
- Stéphane Demine
- Laboratory of Biochemistry and Cell Biology (URBC), NARILIS (Namur Research Institute for Life Sciences), University of Namur (UNamur), 61 rue de Bruxelles, Namur 5000, Belgium.
| | - Nagabushana Reddy
- Laboratory of Biochemistry and Cell Biology (URBC), NARILIS (Namur Research Institute for Life Sciences), University of Namur (UNamur), 61 rue de Bruxelles, Namur 5000, Belgium.
| | - Patricia Renard
- Laboratory of Biochemistry and Cell Biology (URBC), NARILIS (Namur Research Institute for Life Sciences), University of Namur (UNamur), 61 rue de Bruxelles, Namur 5000, Belgium.
| | - Martine Raes
- Laboratory of Biochemistry and Cell Biology (URBC), NARILIS (Namur Research Institute for Life Sciences), University of Namur (UNamur), 61 rue de Bruxelles, Namur 5000, Belgium.
| | - Thierry Arnould
- Laboratory of Biochemistry and Cell Biology (URBC), NARILIS (Namur Research Institute for Life Sciences), University of Namur (UNamur), 61 rue de Bruxelles, Namur 5000, Belgium.
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