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Lanng SK, Oxfeldt M, Johansen FT, Risikesan J, Hansen M, Bertram HC. Acute changes in the metabolome following resistance exercise combined with intake of different protein sources (cricket, pea, whey). Metabolomics 2023; 19:98. [PMID: 37999866 DOI: 10.1007/s11306-023-02064-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/08/2023] [Indexed: 11/25/2023]
Abstract
INTRODUCTION Separately, both exercise and protein ingestion have been shown to alter the blood and urine metabolome. This study goes a step further and examines changes in the metabolome derived from blood, urine and muscle tissue extracts in response to resistance exercise combined with ingestion of three different protein sources. METHODS In an acute parallel study, 52 young males performed one-legged resistance exercise (leg extension, 4 × 10 repetitions at 10 repetition maximum) followed by ingestion of either cricket (insect), pea or whey protein (0.25 g protein/kg fat free mass). Blood and muscle tissue were collected at baseline and three hours after protein ingestion. Urine was collected at baseline and four hours after protein ingestion. Mixed-effects analyses were applied to examine the effect of the time (baseline vs. post), protein (cricket, pea, whey), and time x protein interaction. RESULTS Nuclear magnetic resonance (NMR)-based metabolomics resulted in the annotation and quantification of 25 metabolites in blood, 35 in urine and 21 in muscle tissue. Changes in the muscle metabolome after combined exercise and protein intake indicated effects related to the protein source ingested. Muscle concentrations of leucine, methionine, glutamate and myo-inositol were higher after intake of whey protein compared to both cricket and pea protein. The blood metabolome revealed changes in a more ketogenic direction three hours after exercise reflecting that the trial was conducted after overnight fasting. Urinary concentration of trimethylamine N-oxide was significantly higher after ingestion of cricket than pea and whey protein. CONCLUSION The blood, urine and muscle metabolome showed different and supplementary responses to exercise and ingestion of the different protein sources, and in synergy the summarized results provided a more complete picture of the metabolic state of the body.
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Affiliation(s)
- Sofie Kaas Lanng
- Department of Food Science, Aarhus University, Aarhus N, 8200, Denmark
- CiFOOD, Centre for Innovative Food Research, Aarhus University, Aarhus N, 8200, Denmark
| | - Mikkel Oxfeldt
- Department of Public Health, Aarhus University, Aarhus C, 8000, Denmark
| | | | - Jeyanthini Risikesan
- Department of Child and Adolescent Medicine, Regional Hospital Gødstrup, Aarhus C, Denmark
| | - Mette Hansen
- Department of Public Health, Aarhus University, Aarhus C, 8000, Denmark
| | - Hanne Christine Bertram
- Department of Food Science, Aarhus University, Aarhus N, 8200, Denmark.
- CiFOOD, Centre for Innovative Food Research, Aarhus University, Aarhus N, 8200, Denmark.
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Youssef L, Durand S, Aprahamian F, Lefevre D, Bourgin M, Maiuri MC, Dulac M, Hajj-Boutros G, Marcangeli V, Buckinx F, Peyrusqué E, Morais JA, Gaudreau P, Gouspillou G, Kroemer G, Aubertin-Leheudre M, Noirez P. Serum metabolomic adaptations following a 12-week high-intensity interval training combined to citrulline supplementation in obese older adults. Eur J Sport Sci 2023; 23:2157-2169. [PMID: 37161876 DOI: 10.1080/17461391.2023.2213185] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
Physical activity and nutrition play important roles in preventing adverse health outcomes that accompany aging. It has been shown that high-intensity interval training (HIIT) combined with citrulline (CIT) supplementation can improve physical and functional capacities. The aim of this study was to evaluate serum metabolites following a 12-week HIIT combined or not with CIT in obese older adults, and to correlate the metabolic changes with clinico-biological parameters changes. Eighty-six obese older adults completed a 12-week HIIT program combined with a 10 g daily supplementation of either CIT or placebo (PLA) during a double-blinded randomized interventional trial. Only participants with blood samples at T0 (before the intervention) and/or T12 (after the intervention) were included in our sub-analysis (HIIT-PLA-T0: n = 44 and HIIT-PLA-T12: n = 28; HIIT-CIT-T0: n = 39 and HIIT-CIT-T12: n = 42). Serum samples were analyzed by different liquid or gas phase chromatography methods coupled to mass spectrometry. Among the identified metabolites, 44 changed significantly following the 12-week intervention (Time effect), and 10 of them were more affected when HIIT was combined with CIT (Time × Supp effect). Arginine increased significantly due to the 12-week intervention. Correlation analyses demonstrated that decreased triglyceride (TG) (16:1/18:1/16:0) and aspartic acid significantly correlated with a reduction of adiposity-related parameters (fat mass, leg lean mass, leptin, total triglycerides and low-density lipoprotein). Arginine, TG (16:1/18:1/16:0) and aspartic acid might constitute biomarkers of cardiometabolic health and adiposity. Further studies are needed to confirm these associations and understand the underlying mechanisms.Highlights A 12-week intervention involving high-intensity interval training (HIIT) with or without citrulline (CIT) supplementation induced adaptations in the serum metabolome of obese older adults through significant changes in 44 metabolites.Changes in 23 metabolites were observed when a CIT supplementation was administered along with a 12-week HIIT intervention.TG (16:1/18:1/16:0) correlated with several adiposity parameters including leptin, triglycerides, legs lean mass.Aspartic acid correlated with several adiposity parameters including leptin, LDL cholesterol as well as android, arms and trunk fat mass.
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Affiliation(s)
- Layale Youssef
- T3S INSERM U1124, Université Paris Cité, Paris, France
- École de Kinésiologie et des Sciences de l'Activité Physique (EKSAP), Université de Montréal, Montréal, Canada
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
| | - Sylvère Durand
- INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, AMMICa US23/CNRS UMS3655, Villejuif, France
| | - Fanny Aprahamian
- INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, AMMICa US23/CNRS UMS3655, Villejuif, France
| | - Deborah Lefevre
- INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, AMMICa US23/CNRS UMS3655, Villejuif, France
| | - Mélanie Bourgin
- INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, AMMICa US23/CNRS UMS3655, Villejuif, France
| | - Maria Chiara Maiuri
- INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, AMMICa US23/CNRS UMS3655, Villejuif, France
| | - Maude Dulac
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
- Groupe de Recherche en Activité Physique Adaptée, Université du Québec à Montréal, Montréal, Canada
- Département de biologie, Université du Québec à Montréal, Montréal, Canada
- Research Institute of the McGill University Health Center (MUHC), Montréal, Canada
| | - Guy Hajj-Boutros
- Groupe de Recherche en Activité Physique Adaptée, Université du Québec à Montréal, Montréal, Canada
- Research Institute of the McGill University Health Center (MUHC), Montréal, Canada
| | - Vincent Marcangeli
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
- Groupe de Recherche en Activité Physique Adaptée, Université du Québec à Montréal, Montréal, Canada
- Département de biologie, Université du Québec à Montréal, Montréal, Canada
| | - Fanny Buckinx
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
- Département des sciences de l'activité physique, Université du Québec à Montréal, Montréal, Canada
| | - Eva Peyrusqué
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
- Groupe de Recherche en Activité Physique Adaptée, Université du Québec à Montréal, Montréal, Canada
- Département des sciences de l'activité physique, Université du Québec à Montréal, Montréal, Canada
| | - José A Morais
- Research Institute of the McGill University Health Center (MUHC), Montréal, Canada
| | - Pierrette Gaudreau
- Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Université de Montréal, Montréal, Canada
- Département de Médecine, Université de Montréal, Montréal, Canada
| | - Gilles Gouspillou
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
- Groupe de Recherche en Activité Physique Adaptée, Université du Québec à Montréal, Montréal, Canada
- Département des sciences de l'activité physique, Université du Québec à Montréal, Montréal, Canada
| | - Guido Kroemer
- INSERM U1138, Centre de Recherche des Cordeliers, Sorbonne Université, Université Paris Cité, Paris, France
- Metabolomics and Cell Biology Platforms, Gustave Roussy Cancer Campus, AMMICa US23/CNRS UMS3655, Villejuif, France
| | - Mylène Aubertin-Leheudre
- Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montréal, Canada
- Groupe de Recherche en Activité Physique Adaptée, Université du Québec à Montréal, Montréal, Canada
- Département des sciences de l'activité physique, Université du Québec à Montréal, Montréal, Canada
| | - Philippe Noirez
- T3S INSERM U1124, Université Paris Cité, Paris, France
- Groupe de Recherche en Activité Physique Adaptée, Université du Québec à Montréal, Montréal, Canada
- Département des sciences de l'activité physique, Université du Québec à Montréal, Montréal, Canada
- UFR STAPS, Performance Santé Métrologie Société (PSMS), Université de Reims Champagne Ardenne, Reims, France
- Institut de Recherche Médicale et d'Épidémiologie du Sport (IRMES), INSEP, Université Paris Cité, Paris, France
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Nie M, Liu Q, Jia R, Li Z, Li X, Meng X. Comparative transcriptome analysis of unfractionated peripheral blood leukocytes after exercise in human. Sci Rep 2023; 13:11140. [PMID: 37429969 DOI: 10.1038/s41598-023-38064-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 07/02/2023] [Indexed: 07/12/2023] Open
Abstract
Exercise has profound but variable effects on the immune system. However, only limited information exists about the changes of exercise-induced gene expression in whole immune cells. The aim of this study is to unravel the potential molecular changes of genes which are related to immunity after exercise. The raw expression data and corresponding clinical of GSE18966 were downloaded from Gene Expression Omnibus database. The differentially expressed genes between control group and treat groups were performed by in-house developed perl scripts. A total of 83 differentially expressed genes (DEGs) (|log2 FC|> 1, FDR < 0.05) were identified between control and treat group 1 (0 h after exercise), 128 DEGs (|log2 FC|> 1, FDR < 0.05) between control and treat group 2 (4 h after exercise), and there was no significant difference between control and treat group 3 (20 h after exercise). Next, we identified 51 overlapping genes between treat group 1 (0 h after exercise) and treat group 2 (4 h after exercise) using Venn analysis. Protein-protein interaction (PPI) network was constructed by Cytoscape 3.7.2, and nine hub genes (S100A12, FCGR3B, FPR1, VNN2, AQP9, MMP9, OSM, NCF4, HP) were identified. Finally, 9 hub genes were identified as the potential biomarkers of exercise using validation set (GSE83578) verification analysis. These hub genes might serve as potential molecular targets of monitoring exercise and training processes in the further.
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Affiliation(s)
- Mingkun Nie
- School of Physical Education, Xinxiang University, Xinxiang, 453000, Henan, China
| | - Qingling Liu
- School of Pharmacy, Xinxiang University, Xinxiang, 453000, Henan, China
| | - Ruoling Jia
- School of Pharmacy, Xinxiang University, Xinxiang, 453000, Henan, China.
| | - Zhuoyi Li
- School of Pharmacy, Xinxiang University, Xinxiang, 453000, Henan, China
| | - Xiaoru Li
- School of Pharmacy, Xinxiang University, Xinxiang, 453000, Henan, China
| | - Xiangtao Meng
- School of Pharmacy, Xinxiang University, Xinxiang, 453000, Henan, China
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Moderate-intensity continuous training has time-specific effects on the lipid metabolism of adolescents. J Transl Int Med 2023; 11:57-69. [DOI: 10.2478/jtim-2022-0050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023] Open
Abstract
Abstract
Background and Objectives
Moderate-intensity continuous training (MICT) is used to observe lipidomic effects in adults. However, the efects of MICT on lipid metabolism in adolescents remain unclear. Therefore, we aimed to longitudinally characterize the lipid profile in adolescents during different periods of 6-week MICT.
Methods
Fifteen adolescents undertook bicycle training at 65% of maximal oxygen consumption. Plasma samples were collected at four time points (T0, T1, T2, and T3). Targeted lipidomics was assessed by ultra-performance liquid chromatography–tandem mass spectrometry to characterize the plasma lipid profiles of the participants to identify the lipids present at differing concentrations and changes in lipid species with time.
Results
MICT afected the plasma lipid profiles of the adolescents. The concentrations of diglycerides, phosphatidylinositol, lysophosphatidic acid, lysophosphatidylcholine, and lysophosphatidylethanolamine were increased at T1, decreased at T2, and increased again at T3. Fatty acids (FAs) showed an opposite trend. Ether-linked alkylphosphatidylcholine and triglycerides were significantly increased and remained high. Sphingolipid concentrations initially decreased and then remained low. Therefore, a single bout of exercise had substantial efects on lipid metabolism, but by T3, fewer lipid species were present at significantly diferent concentrations and the magnitudes of the remaining diferences were smaller than those at earlier times. Among all the changed lipids, only DG(14:1/18:1), HexCer(d18:1/22:1) and FA(22:0) showed no significant correlations with any other 51 lipids (P < 0.05). Glycerides and phospholipids showed positive correlations with each other (P < 0.05), but FAs were significantly negatively correlated with glycerides and phospholipids while positively with other FAs (P < 0.05). Pathway enrichment analysis showed that 50% of the metabolic pathways represented were related to lipid metabolism and lipid biosynthesis.
Conclusion
MICT increases ether-linked alkylphosphatidylcholine and triglyceride concentrations. Diglyceride, phosphatidylinositol, and lysophosphatidylcholine concentrations initially rise and then decrease 6 weeks after MICT, but FA concentrations show an opposite trend. These changes might correlate with lipid metabolism or biosynthesis pathways.
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Glass KA, Germain A, Huang YV, Hanson MR. Urine Metabolomics Exposes Anomalous Recovery after Maximal Exertion in Female ME/CFS Patients. Int J Mol Sci 2023; 24:3685. [PMID: 36835097 PMCID: PMC9958671 DOI: 10.3390/ijms24043685] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease with unknown etiology or effective treatments. Post-exertional malaise (PEM) is a key symptom that distinguishes ME/CFS patients. Investigating changes in the urine metabolome between ME/CFS patients and healthy subjects following exertion may help us understand PEM. The aim of this pilot study was to comprehensively characterize the urine metabolomes of eight female healthy sedentary control subjects and ten female ME/CFS patients in response to a maximal cardiopulmonary exercise test (CPET). Each subject provided urine samples at baseline and 24 h post-exercise. A total of 1403 metabolites were detected via LC-MS/MS by Metabolon® including amino acids, carbohydrates, lipids, nucleotides, cofactors and vitamins, xenobiotics, and unknown compounds. Using a linear mixed effects model, pathway enrichment analysis, topology analysis, and correlations between urine and plasma metabolite levels, significant differences were discovered between controls and ME/CFS patients in many lipid (steroids, acyl carnitines and acyl glycines) and amino acid subpathways (cysteine, methionine, SAM, and taurine; leucine, isoleucine, and valine; polyamine; tryptophan; and urea cycle, arginine and proline). Our most unanticipated discovery is the lack of changes in the urine metabolome of ME/CFS patients during recovery while significant changes are induced in controls after CPET, potentially demonstrating the lack of adaptation to a severe stress in ME/CFS patients.
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Affiliation(s)
| | | | | | - Maureen R. Hanson
- Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
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Kistner S, Mack CI, Rist MJ, Krüger R, Egert B, Biniaminov N, Engelbert AK, Seifert S, Dörr C, Ferrario PG, Neumann R, Altmann S, Bub A. Acute effects of moderate vs. vigorous endurance exercise on urinary metabolites in healthy, young, physically active men-A multi-platform metabolomics approach. Front Physiol 2023; 14:1028643. [PMID: 36798943 PMCID: PMC9927024 DOI: 10.3389/fphys.2023.1028643] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 01/16/2023] [Indexed: 01/31/2023] Open
Abstract
Introduction: Endurance exercise alters whole-body as well as skeletal muscle metabolism and physiology, leading to improvements in performance and health. However, biological mechanisms underlying the body's adaptations to different endurance exercise protocols are not entirely understood. Methods: We applied a multi-platform metabolomics approach to identify urinary metabolites and associated metabolic pathways that distinguish the acute metabolic response to two endurance exercise interventions at distinct intensities. In our randomized crossover study, 16 healthy, young, and physically active men performed 30 min of continuous moderate exercise (CME) and continuous vigorous exercise (CVE). Urine was collected during three post-exercise sampling phases (U01/U02/U03: until 45/105/195 min post-exercise), providing detailed temporal information on the response of the urinary metabolome to CME and CVE. Also, fasting spot urine samples were collected pre-exercise (U00) and on the following day (U04). While untargeted two-dimensional gas chromatography-mass spectrometry (GC×GC-MS) led to the detection of 608 spectral features, 44 metabolites were identified and quantified by targeted nuclear magnetic resonance (NMR) spectroscopy or liquid chromatography-mass spectrometry (LC-MS). Results: 104 urinary metabolites showed at least one significant difference for selected comparisons of sampling time points within or between exercise trials as well as a relevant median fold change >1.5 or <0. 6 ¯ (NMR, LC-MS) or >2.0 or <0.5 (GC×GC-MS), being classified as either exercise-responsive or intensity-dependent. Our findings indicate that CVE induced more profound alterations in the urinary metabolome than CME, especially at U01, returning to baseline within 24 h after U00. Most differences between exercise trials are likely to reflect higher energy requirements during CVE, as demonstrated by greater shifts in metabolites related to glycolysis (e.g., lactate, pyruvate), tricarboxylic acid cycle (e.g., cis-aconitate, malate), purine nucleotide breakdown (e.g., hypoxanthine), and amino acid mobilization (e.g., alanine) or degradation (e.g., 4-hydroxyphenylacetate). Discussion: To conclude, this study provided first evidence of specific urinary metabolites as potential metabolic markers of endurance exercise intensity. Future studies are needed to validate our results and to examine whether acute metabolite changes in urine might also be partly reflective of mechanisms underlying the health- or performance-enhancing effects of endurance exercise, particularly if performed at high intensities.
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Affiliation(s)
- Sina Kistner
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany,*Correspondence: Sina Kistner, ; Achim Bub,
| | - Carina I. Mack
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany
| | - Manuela J. Rist
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Ralf Krüger
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Björn Egert
- Department of Safety and Quality of Fruit and Vegetables, Max Rubner-Institut, Karlsruhe, Germany
| | - Nathalie Biniaminov
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Ann Katrin Engelbert
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Stephanie Seifert
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Claudia Dörr
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Paola G. Ferrario
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany
| | - Rainer Neumann
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Stefan Altmann
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany,TSG ResearchLab gGmbH, Zuzenhausen, Germany
| | - Achim Bub
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, Karlsruhe, Germany,Institute of Sports and Sports Science, Karlsruhe Institute of Technology, Karlsruhe, Germany,*Correspondence: Sina Kistner, ; Achim Bub,
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Pellegrino JK, Anthony TG, Gillies P, Arent SM. The exercise metabolome: acute aerobic and anaerobic signatures. J Int Soc Sports Nutr 2022; 19:603-622. [PMID: 36250148 PMCID: PMC9559054 DOI: 10.1080/15502783.2022.2115858] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Background Exercise modality differentially alters body composition and physical performance. Metabolic changes underlying these outcomes can be tracked through assessment of circulating metabolites. Here, global responses to an acute bout of aerobic or anaerobic exercise were compared in the serum of male and female subjects using a discovery-based metabolomics platform. Methods On separate days, 40 healthy, active participants completed 45 min of aerobic cycling or resistance exercise, and blood samples were collected at rest, immediately after (T1) and 1 hour post-exercise (T2) to examine the serum metabolomic landscape. Results The two exercise metabolomes appeared more similar than different in this healthy cohort. Overall, metabolomic signatures of both exercise modalities were markedly altered from rest at T1, and returned toward baseline by T2. Metabolomic perturbations at T1 and the T1-T2 rate of recovery post-exercise were greater following aerobic cycling than resistance exercise. Shared signatures included elevations in purine metabolism, substrate catabolism and mobilization, and inflammatory signaling. Aerobic exercise resulted in greater substrate diversity and use of fatty acids, whereas resistance exercise displayed higher purine turnover and glycolytic flux. Discussion Individual metabolite differences between conditions were seen in magnitude but not direction. Metabolomic signatures of the exercise responses appeared fairly robust across exercise modalities. An initial perturbation and subsequent shift toward recovery by an hour post-exercise defined the signature in our healthy cohort. The expedited recovery following aerobic cycling may be explained by globally elevated lipid metabolism.
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Affiliation(s)
- Joseph K. Pellegrino
- Department of Health and Human Performance, University of Scranton, Scranton, PA, USA
| | - Tracy G Anthony
- Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ, USA
| | - Peter Gillies
- Department of Nutritional Sciences, Rutgers University, New Brunswick, NJ, USA
| | - Shawn M. Arent
- Department of Exercise Sciences, University of South Carolina, Columbia, SC, USA
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Effect of acute high-intensity exercise on myocardium metabolic profiles in rat and human study via metabolomics approach. Sci Rep 2022; 12:6791. [PMID: 35473956 PMCID: PMC9042871 DOI: 10.1038/s41598-022-10976-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 04/14/2022] [Indexed: 12/16/2022] Open
Abstract
Acute high-intensity exercise can affect cardiac health by altering substance metabolism. However, few metabolomics-based studies provide data on the effect of exercise along with myocardial metabolism. Our study aimed to identify metabolic signatures in rat myocardium during acute high-intensity exercise and evaluate their diagnostic potential for sports injuries. We collected rat myocardium samples and subjects’ serum samples before and after acute high-intensity exercise for metabolite profiling to explore metabolic alterations of exercise response in the myocardium. Multivariate analysis revealed myocardium metabolism differed before and after acute high-intensity exercise. Furthermore, 6 target metabolic pathways and 12 potential metabolic markers for acute high-intensity exercise were identified. Our findings provided an insight that myocardium metabolism during acute high-intensity exercise had distinct disorders in complex lipids and fatty acids. Moreover, an increase of purine degradation products, as well as signs of impaired glucose metabolism, were observed. Besides, amino acids were enhanced with a certain protective effect on the myocardium. In this study, we discovered how acute high-intensity exercise affected myocardial metabolism and exercise-related heart injury risks, which can provide references for pre-competition screening, risk prevention, and disease prognosis in competitive sports and effective formulation of exercise prescriptions for different people.
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RNA Sequencing of Whole Blood Defines the Signature of High Intensity Exercise at Altitude in Elite Speed Skaters. Genes (Basel) 2022; 13:genes13040574. [PMID: 35456380 PMCID: PMC9027771 DOI: 10.3390/genes13040574] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/08/2022] [Accepted: 03/21/2022] [Indexed: 12/18/2022] Open
Abstract
Although high altitude training has been increasingly popular among endurance athletes, the molecular and cellular bases of this adaptation remain poorly understood. We aimed to define the underlying physiological changes and screen for potential biomarkers of adaptation using transcriptional profiling of whole blood. Seven elite female speed skaters were profiled on the 18th day of high-altitude adaptation. Whole blood RNA-seq before and after an intense 1 h skating bout was used to measure gene expression changes associated with exercise. In order to identify the genes specifically regulated at high altitudes, we have leveraged the data from eight previously published microarray datasets studying blood expression changes after exercise at sea level. Using cell type-specific signatures, we were able to deconvolute changes of cell type abundance from individual gene expression changes. Among these were PHOSPHO1, with a known role in erythropoiesis, and MARC1 with a role in endogenic NO metabolism. We find that platelet and erythrocyte counts uniquely respond to altitude exercise, while changes in neutrophils represent a more generic marker of intense exercise. Publicly available data from both single cell atlases and exercise-related blood profiling dramatically increases the value of whole blood RNA-seq for the dynamic evaluation of physiological changes in an athlete’s body.
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Podgórski R, Cieśla M, Podgórska D, Bajorek W, Płonka A, Czarny W, Trybulski R, Król P. Plasma microRNA-320a as a Potential Biomarker of Physiological Changes during Training in Professional Volleyball Players. J Clin Med 2022; 11:jcm11010263. [PMID: 35012004 PMCID: PMC8746094 DOI: 10.3390/jcm11010263] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 12/27/2021] [Accepted: 12/29/2021] [Indexed: 02/04/2023] Open
Abstract
A deeper insight into the mechanisms responsible for athlete performance that may serve as specific and detailed training indicators is still desired, because conventionally used biomarkers provide limited information about the adaptive processes that occur during exercise. The objective of our study was to assess insulin-like growth factor 1 receptors (IGF1R) gene expression and evaluate plasma concentration of selected microRNAs (miRNAs) during a 10-week training period (sampling times: week 1, 4, 7, and 10) in a group of 12 professional female volleyball players. Circulating miRNAs (miR-223, miR-320a, and miR-486) with established concentration in plasma and documented association with the IGF1 signaling pathway, which is involved in muscle development and recovery, were tested. The levels of analyzed miRNAs, tested by one-way ANOVA, were significantly different between four training periods during a 10-week training cycle (miR-223 p < 0.0001, miR-320a p = 0.00021, miR-486 p = 0.0037, respectively). The levels of IGF1R also appeared to be different (p = 0.00092), and their expression showed a trend to increase between the first and third periods. In the fourth period, the expression decreased, although it was higher compared with the baseline. Correlations between concentration levels of miR-223 and miR-320a (rs = 0.54, p < 0.001), as well as between miR-320a and miR-486 (rs = 0.73, p < 0.001) were also found. In the fourth period, a negative correlation between miR-223 plasma level and leucocyte IGF1R expression was found (rs = -0.63, p = 0.028). Multiple linear regression analysis showed that miR-320a (p = 0.024) and creatine kinase (p = 0.028) had the greatest impact on the expression levels of the IGF1R gene. Future studies are required to define whether these miRNAs, especially miR-320a, as well as IGF1R expression could be useful biomarkers of physiological changes during exercise and to discover their detailed biological roles in mode-specific exercise training adaptations of professional athletes.
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Affiliation(s)
- Rafał Podgórski
- Department of Biochemistry, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland
- Centre for Innovative Research in Medical and Natural Sciences, Medical College of Rzeszow University, 35-310 Rzeszow, Poland
- Correspondence: ; Tel.: +48-17851-68-55
| | - Marek Cieśla
- Department of Clinical Genetics, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland;
| | - Dominika Podgórska
- Department of Internal Diseases, Institute of Medical Sciences, Medical College of Rzeszow University, 35-959 Rzeszow, Poland;
| | - Wojciech Bajorek
- Institute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland; (W.B.); (A.P.); (W.C.); (P.K.)
| | - Artur Płonka
- Institute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland; (W.B.); (A.P.); (W.C.); (P.K.)
| | - Wojciech Czarny
- Institute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland; (W.B.); (A.P.); (W.C.); (P.K.)
| | - Robert Trybulski
- Department of Medical Sciences, The Wojciech Korfanty School of Economics, 40-659 Katowice, Poland;
- Provita Zory Medical Center, 44-240 Zory, Poland
| | - Paweł Król
- Institute of Physical Culture Studies, Medical College of Rzeszow University, 35-959 Rzeszow, Poland; (W.B.); (A.P.); (W.C.); (P.K.)
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Khoramipour K, Sandbakk Ø, Keshteli AH, Gaeini AA, Wishart DS, Chamari K. Metabolomics in Exercise and Sports: A Systematic Review. Sports Med 2021; 52:547-583. [PMID: 34716906 DOI: 10.1007/s40279-021-01582-y] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/03/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Metabolomics is a field of omics science that involves the comprehensive measurement of small metabolites in biological samples. It is increasingly being used to study exercise physiology and exercise-associated metabolism. However, the field of exercise metabolomics has not been extensively reviewed or assessed. OBJECTIVE This review on exercise metabolomics has three aims: (1) to provide an introduction to the general workflow and the different metabolomics technologies used to conduct exercise metabolomics studies; (2) to provide a systematic overview of published exercise metabolomics studies and their findings; and (3) to discuss future perspectives in the field of exercise metabolomics. METHODS We searched electronic databases including Google Scholar, Science Direct, PubMed, Scopus, Web of Science, and the SpringerLink academic journal database between January 1st 2000 and September 30th 2020. RESULTS Based on our detailed analysis of the field, exercise metabolomics studies fall into five major categories: (1) exercise nutrition metabolism; (2) exercise metabolism; (3) sport metabolism; (4) clinical exercise metabolism; and (5) metabolome comparisons. Exercise metabolism is the most popular category. The most common biological samples used in exercise metabolomics studies are blood and urine. Only a small minority of exercise metabolomics studies employ targeted or quantitative techniques, while most studies used untargeted metabolomics techniques. In addition, mass spectrometry was the most commonly used platform in exercise metabolomics studies, identified in approximately 54% of all published studies. Our data indicate that biomarkers or biomarker panels were identified in 34% of published exercise metabolomics studies. CONCLUSION Overall, there is an increasing trend towards better designed, more clinical, mass spectrometry-based metabolomics studies involving larger numbers of participants/patients and larger numbers of metabolites being identified.
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Affiliation(s)
- Kayvan Khoramipour
- Physiology Research Center, Institute of Neuropharmacology, Kerman University of Medical Sciences, Kerman, Iran. .,Department of Physiology and Pharmacology, Medical Faculty, Kerman University of Medical Sciences, Blvd. 22 Bahman, Kerman, Iran.
| | - Øyvind Sandbakk
- Department of Neuromedicine and Movement Science, Centre for Elite Sports Research, Norwegian University of Science and Technology, Trondheim, Norway
| | | | - Abbas Ali Gaeini
- Department of Exercise Physiology, University of Tehran, Tehran, Iran
| | - David S Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, AB, T6G 2E9, Canada.,Department of Computing Science, University of Alberta, AB, T6G 2E9, Edmonton, Canada
| | - Karim Chamari
- ASPETAR, Qatar Orthopaedic and Sports Medicine Hospital, Doha, Qatar
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Mussap M, Noto A, Piras C, Atzori L, Fanos V. Slotting metabolomics into routine precision medicine. EXPERT REVIEW OF PRECISION MEDICINE AND DRUG DEVELOPMENT 2021. [DOI: 10.1080/23808993.2021.1911639] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Michele Mussap
- Department of Surgical Science, University of Cagliari, Monserrato, Italy
| | - Antonio Noto
- Department of Medical Sciences and Public Health, University of Cagliari, Monserrato, Italy
| | - Cristina Piras
- Department of Surgical Science, University of Cagliari, Monserrato, Italy
- Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy
| | - Luigi Atzori
- Department of Biomedical Sciences, University of Cagliari, Monserrato, Italy
| | - Vassilios Fanos
- Department of Surgical Science, University of Cagliari, Monserrato, Italy
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Metabolomics and Lipidomics: Expanding the Molecular Landscape of Exercise Biology. Metabolites 2021; 11:metabo11030151. [PMID: 33799958 PMCID: PMC8001908 DOI: 10.3390/metabo11030151] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/05/2021] [Accepted: 03/05/2021] [Indexed: 02/08/2023] Open
Abstract
Dynamic changes in circulating and tissue metabolites and lipids occur in response to exercise-induced cellular and whole-body energy demands to maintain metabolic homeostasis. The metabolome and lipidome in a given biological system provides a molecular snapshot of these rapid and complex metabolic perturbations. The application of metabolomics and lipidomics to map the metabolic responses to an acute bout of aerobic/endurance or resistance exercise has dramatically expanded over the past decade thanks to major analytical advancements, with most exercise-related studies to date focused on analyzing human biofluids and tissues. Experimental and analytical considerations, as well as complementary studies using animal model systems, are warranted to help overcome challenges associated with large human interindividual variability and decipher the breadth of molecular mechanisms underlying the metabolic health-promoting effects of exercise. In this review, we provide a guide for exercise researchers regarding analytical techniques and experimental workflows commonly used in metabolomics and lipidomics. Furthermore, we discuss advancements in human and mammalian exercise research utilizing metabolomic and lipidomic approaches in the last decade, as well as highlight key technical considerations and remaining knowledge gaps to continue expanding the molecular landscape of exercise biology.
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Effects of Aging, Long-Term and Lifelong Exercise on the Urinary Metabolic Footprint of Rats. Metabolites 2020; 10:metabo10120481. [PMID: 33255518 PMCID: PMC7760742 DOI: 10.3390/metabo10120481] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/20/2020] [Accepted: 11/22/2020] [Indexed: 01/06/2023] Open
Abstract
Life expectancy has risen in the past decades, resulting in an increase in the number of aged individuals. Exercise remains one of the most cost-effective treatments against disease and the physical consequences of aging. The purpose of this research was to investigate the effects of aging, long-term and lifelong exercise on the rat urinary metabolome. Thirty-six male Wistar rats were divided into four equal groups: exercise from 3 to 12 months of age (A), lifelong exercise from 3 to 21 months of age (B), no exercise (C), and exercise from 12 to 21 months of age (D). Exercise consisted in swimming for 20 min/day, 5 days/week. Urine samples collection was performed at 3, 12 and 21 months of life and their analysis was conducted by liquid chromatography-mass spectrometry. Multivariate analysis of the metabolite data did not show any discrimination between groups at any of the three aforementioned ages. However, multivariate analysis discriminated the three ages clearly when the groups were treated as one. Univariate analysis showed that training increased the levels of urinary amino acids and possibly protected against sarcopenia, as evidenced by the higher levels of creatine in the exercising groups. Aging was accompanied by decreased levels of urinary amino acids and signs of increased glycolysis. Concluding, both aging and, to a lesser degree, exercise affected the rat urinary metabolome, including metabolites related to energy metabolism, with exercise showing a potential to mitigate the consequences of aging.
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15
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Pintus R, Bongiovanni T, Corbu S, Francavilla VC, DessÌ A, Noto A, Corsello G, Finco G, Fanos V, Cesare Marincola F. Sportomics in professional soccer players: metabolomics results during preseason. J Sports Med Phys Fitness 2020; 61:324-330. [PMID: 32936572 DOI: 10.23736/s0022-4707.20.11200-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Sportomics is the application of metabolomics to study the metabolism shifts of individuals that practice sports or do physical exercise. This aim was reached by the analysis of low molecular weight metabolites (<1.5 kDa) present in biological fluids such as blood, saliva or urine. METHODS In this study, authors performed a 1H-NMR analysis of urine from 21 professional soccer players collected at 3 different time points during the preseason preparation period before the beginning of Serie A Championship (first division) in Italy. RESULTS Urine profile changed during the observational period. In particular, significant variations were observed for trimethylamine-N-oxide, dimethylamine, hippuric acid, hypoxanthine, guanidoacetic acid, 3-hydroxybutyric acid, citric acid and creatine. These modifications could be related to the diet, training and microbiota. For instance, trimethylamine-N-oxide and hippuric acid are both of dietary origins but are also related to the microbiota, while 3-hydroxy-butyric acid is associated with the type of physical exercise. CONCLUSIONS This is the first sportomics study ever performed on professional soccer players, according to authors' knowledge. In the future, sportomics could be applied in a tailored way to choose the best diet and training program in the single individual to obtain the best possible performances and to prevent injuries of athletes.
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Affiliation(s)
- Roberta Pintus
- Neonatal Intensive Care Unit, University Hospital of Cagliari, University of Cagliari, Monserrato, Cagliari, Italy
| | - Tindaro Bongiovanni
- Department of Health, Performance and Recovery, Parma Calcio 1913, Parma, Italy -
| | - Sara Corbu
- Department of Chemical and Geological Sciences, University of Cagliari, Monserrato, Cagliari, Italy
| | - Vincenzo C Francavilla
- School of Engineering, Architecture and Motor Sciences, Kore University of Enna, Enna, Italy
| | - Angelica DessÌ
- Neonatal Intensive Care Unit, University Hospital of Cagliari, University of Cagliari, Monserrato, Cagliari, Italy
| | - Antonio Noto
- Department of Medical Science and Public Health, University of Cagliari, Monserrato, Cagliari, Italy
| | - Giovanni Corsello
- Neonatal Intensive Care Unit, Department of Sciences for Health Promotion and Mother and Child Care, P. Giaccone University Hospital, University of Palermo, Palermo, Italy
| | - Gabriele Finco
- Department of Medical Science and Public Health, University of Cagliari, Cagliari, Italy
| | - Vassilios Fanos
- Neonatal Intensive Care Unit, University Hospital of Cagliari, University of Cagliari, Monserrato, Cagliari, Italy
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Khoramipour K, Gaeini AA, Shirzad E, Gilany K, Chashniam S, Sandbakk Ø. Metabolic load comparison between the quarters of a game in elite male basketball players using sport metabolomics. Eur J Sport Sci 2020; 21:1022-1034. [PMID: 32746753 DOI: 10.1080/17461391.2020.1805515] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Purpose: A basketball match is characterized by intermittent high-intensity activities, thereby relying extensively on both aerobic and anaerobic metabolic pathways. Here, we aimed to compare the metabolic fluctuations between the four 10-min quarters of high-level basketball games using metabolomics analyses. Methods: 70 male basketball players with at least 3 years of experience in the Iran national top-league participated. Before and after each quarter, saliva samples were taken for subsequent untargeted metabolomics analyses, where Principal component analysis (PCA) and Partial least squares-discriminant analysis (PLS-DA) were employed for statistical analysis. Results: Quarters 1 and 3 showed similar metabolic profiles, with increased levels of ATP turnover (higher Lactate, Pyruvate, Succinic Acid, Citric Cid, Glucose and Hypoxanthine), indicating more reliance on anaerobic energy systems than quarters 2 and 4. In comparison, quarters 2 and 4 showed a reduction in Valine and Lucien and an increase in Alanine, Glycerol, AcetoAcetic Acid, Acetone, Succinic Acid, Citric Acid, Acetate and Taurine that was not present in quarters 1 and 3, indicating greater reliance of aerobic energy contribution, fat metabolism and gluconeogenesis. Conclusion: Our data demonstrate that the higher intensity of movements in the first quarter, where players are more rested, induce an increase in anaerobic energy contribution. This seems to be the case also for the third quarter that follows 15 min of rest, whereas the accumulated fatigue and reduction of high-intensity movements in the second and fourth quarters also reduces the speed of energy production and players thereby utilize more aerobic energy.
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Affiliation(s)
- Kayvan Khoramipour
- Department of Physiology and Pharmacology, Kerman University of Medical Science, Kerman, Iran
| | - Abbas Ali Gaeini
- Department of exercise physiology, University of Tehran, Tehran, Iran
| | - Elham Shirzad
- Department of Health and Sports Medicine, University of Tehran, Tehran, Iran
| | - Kambiz Gilany
- Reproductive Immunology Research Center Avicenna Research Institute, ACECR, Tehran, Iran.,Integrative Oncology Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran
| | | | - Øyvind Sandbakk
- Centre for Elite Sports Research, Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, Trondheim, Norway
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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: 73] [Impact Index Per Article: 18.3] [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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18
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Longitudinal blood transcriptomic analysis to identify molecular regulatory patterns of bovine respiratory disease in beef cattle. Genomics 2020; 112:3968-3977. [PMID: 32650099 DOI: 10.1016/j.ygeno.2020.07.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2020] [Revised: 06/19/2020] [Accepted: 07/04/2020] [Indexed: 12/16/2022]
Abstract
Bovine respiratory disease (BRD) is the most common disease in beef cattle and leads to considerable economic losses in both beef and dairy cattle. It is important to uncover the molecular mechanisms underlying BRD and to identify biomarkers for early identification of BRD cattle in order to address its impact on production and welfare. In this study, a longitudinal transcriptomic analysis was conducted using blood samples collected from 24 beef cattle at three production stages in the feedlot: 1) arrival (Entry group); 2) when identified as sick (diagnosed as BRD) and separated for treatment (Pulled); 3) prior to marketing (Close-out, representing healthy animals). Expressed genes were significantly different in the same animal among Entry, Pulled and Close-out stages (false discovery rate (FDR) < 0.01 & |Fold Change| > 2). Beef steers at both Entry and Pulled stages presented obvious difference in GO terms (FDR < 0.05) and affected biological functions (FDR < 0.05 & |Z-score| > 2) when compared with animals at Close-out. However, no significant functional difference was observed between Entry and Pulled animals. The interferon signaling pathway showed the most significant difference between animals at Entry/Pulled and Close-out stages (P < .001 & |Z-score| > 2), suggesting the animals initiated antiviral responses at an early stage of infection. Six key genes including IFI6, IFIT3, ISG15, MX1, and OAS2 were identified as biomarkers to predict and recognize sick cattle at Entry. A gene module with 169 co-expressed genes obtained from WGCNA analysis was most positively correlated (R = 0.59, P = 6E-08) with sickness, which was regulated by 11 transcription factors. Our findings provide an initial understanding of the BRD infection process in the field and suggests a subset of novel marker genes for identifying BRD in cattle at an early stage of infection.
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Kistner S, Rist MJ, Döring M, Dörr C, Neumann R, Härtel S, Bub A. An NMR-Based Approach to Identify Urinary Metabolites Associated with Acute Physical Exercise and Cardiorespiratory Fitness in Healthy Humans-Results of the KarMeN Study. Metabolites 2020; 10:metabo10050212. [PMID: 32455749 PMCID: PMC7281079 DOI: 10.3390/metabo10050212] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Revised: 05/15/2020] [Accepted: 05/19/2020] [Indexed: 12/19/2022] Open
Abstract
Knowledge on metabolites distinguishing the metabolic response to acute physical exercise between fit and less fit individuals could clarify mechanisms and metabolic pathways contributing to the beneficial adaptations to exercise. By analyzing data from the cross-sectional KarMeN (Karlsruhe Metabolomics and Nutrition) study, we characterized the acute effects of a standardized exercise tolerance test on urinary metabolites of 255 healthy women and men. In a second step, we aimed to detect a urinary metabolite pattern associated with the cardiorespiratory fitness (CRF), which was determined by measuring the peak oxygen uptake (VO2peak) during incremental exercise. Spot urine samples were collected pre- and post-exercise and 47 urinary metabolites were identified by nuclear magnetic resonance (NMR) spectroscopy. While the univariate analysis of pre-to-post-exercise differences revealed significant alterations in 37 urinary metabolites, principal component analysis (PCA) did not show a clear separation of the pre- and post-exercise urine samples. Moreover, both bivariate correlation and multiple linear regression analyses revealed only weak relationships between the VO2peak and single urinary metabolites or urinary metabolic pattern, when adjusting for covariates like age, sex, menopausal status, and lean body mass (LBM). Taken as a whole, our results show that several urinary metabolites (e.g., lactate, pyruvate, alanine, and acetate) reflect acute exercise-induced alterations in the human metabolism. However, as neither pre- and post-exercise levels nor the fold changes of urinary metabolites substantially accounted for the variation of the covariate-adjusted VO2peak, our results furthermore indicate that the urinary metabolites identified in this study do not allow to draw conclusions on the individual's physical fitness status. Studies investigating the relationship between the human metabolome and functional variables like the CRF should adjust for confounders like age, sex, menopausal status, and LBM.
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Affiliation(s)
- Sina Kistner
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany; (R.N.); (S.H.); (A.B.)
- Correspondence: ; Tel.: +49-721-608-46981
| | - Manuela J. Rist
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany; (M.J.R.); (M.D.); (C.D.)
| | - Maik Döring
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany; (M.J.R.); (M.D.); (C.D.)
| | - Claudia Dörr
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany; (M.J.R.); (M.D.); (C.D.)
| | - Rainer Neumann
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany; (R.N.); (S.H.); (A.B.)
| | - Sascha Härtel
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany; (R.N.); (S.H.); (A.B.)
| | - Achim Bub
- Institute of Sports and Sports Science, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany; (R.N.); (S.H.); (A.B.)
- Department of Physiology and Biochemistry of Nutrition, Max Rubner-Institut, 76131 Karlsruhe, Germany; (M.J.R.); (M.D.); (C.D.)
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Molina-López J, Ricalde MAQ, Hernández BV, Planells A, Otero R, Planells E. Effect of 8-week of dietary micronutrient supplementation on gene expression in elite handball athletes. PLoS One 2020; 15:e0232237. [PMID: 32357196 PMCID: PMC7194438 DOI: 10.1371/journal.pone.0232237] [Citation(s) in RCA: 4] [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: 03/06/2019] [Accepted: 04/10/2020] [Indexed: 12/22/2022] Open
Abstract
Purpose A study was made of the changes in gene expression in elite handball athletes, comparing gene modulation before, after and in the absence of an 8-week nutritional intervention with multivitamin/mineral supplements. Methods Thirteen elite handball athletes (aged 22.9 ± 2.7 years) and 13 sedentary controls (aged 20.9 ± 2.8 years) were included. Three timepoints were established: T0 (baseline conditions); T8 (after 8 weeks of supplementation with a multivitamin/mineral complex); and T16 (after 8 weeks in the absence of supplementation). The expressions of a total 112 of genes were evaluated by RT-qPCR analysis with the QuantStudioTM 12K Flex Real-Time PCR System. Results The analysis revealed different gene regulation profiles of genes implicated in cell communication, cell energy metabolism, inflammation and the immune system, oxidative stress and muscle function in athletes compared to sedentary controls under resting conditions (upregulated genes: effect size = large, ƞ2 = 1.011 to 1.398, p < 0.05; downregulated genes: effect size = large, ƞ2 = 0.846 and 1.070, p < 0.05, respectively). The nutritional intervention encouraged gene upregulation in elite athletes (p < 0.05). In a follow-up investigation, the IRAK1, CD81, ITGB1, ACADS PDHA2 and GPX1 genes were downregulated in athletes, with a moderate main effect for time-by-group interaction (ηP2 = 0.099 to 0.133; p < 0.05). Additionally, nutritional genes such as MTHFR and THTPA revealed a moderate effect over all the timepoints and group interaction in the study (ηP2 = 0.070 to 0.092; p < 0.05). Conclusions Elite handball athletes showed a different expression profile in reference to key genes implicated in several sports performance-related functions compared to the sedentary controls, in addition to modulation of gene expression after multivitamin/mineral supplementation.
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Affiliation(s)
- Jorge Molina-López
- Department of Physiology, Faculty of Pharmacy, University of Granada, Granada, Spain
- Institute of Nutrition and Food Technology, Biomedical Research Center, Health Sciences Technological Park, University of Granada, Granada, Spain
- * E-mail:
| | - María Antonieta Quispe Ricalde
- University Institute of Tropical Diseases and Public Health of the Canary Islands, University of La Laguna, La Laguna, Tenerife, Canary Islands, Spain
| | - Basilio Valladares Hernández
- University Institute of Tropical Diseases and Public Health of the Canary Islands, University of La Laguna, La Laguna, Tenerife, Canary Islands, Spain
| | - Antonio Planells
- Unit of Social Studies of the Defense, General Technical Secretary, Ministry of Defence, Madrid, Spain
| | - Roberto Otero
- Department of Statistics. Faculty of Social and Legal Sciences, University of Carlos III, Getafe, Madrid, Spain
| | - Elena Planells
- Department of Physiology, Faculty of Pharmacy, University of Granada, Granada, Spain
- Institute of Nutrition and Food Technology, Biomedical Research Center, Health Sciences Technological Park, University of Granada, Granada, Spain
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First Insights into the Urinary Metabolome of Captive Giraffes by Proton Nuclear Magnetic Resonance Spectroscopy. Metabolites 2020; 10:metabo10040157. [PMID: 32316507 PMCID: PMC7240958 DOI: 10.3390/metabo10040157] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 04/02/2020] [Accepted: 04/15/2020] [Indexed: 12/25/2022] Open
Abstract
The urine from 35 giraffes was studied by untargeted 1H-NMR, with the purpose of obtaining, for the first time, a fingerprint of its metabolome. The metabolome, as downstream of the transcriptome and proteome, has been considered as the most representative approach to monitor the relationships between animal physiological features and environment. Thirty-nine molecules were unambiguously quantified, able to give information about diet, proteins digestion, energy generation, and gut-microbial co-metabolism. The samples collected allowed study of the effects of age and sex on the giraffe urinary metabolome. In addition, preliminary information about how sampling procedure and pregnancy could affect a giraffe’s urinary metabolome was obtained. Such work could trigger the setting up of methods to non-invasively study the health status of giraffes, which is utterly needed, considering that anesthetic-related complications make their immobilization a very risky practice.
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Changes of Differential Urinary Metabolites after High-Intensive Training in Teenage Football Players. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2073803. [PMID: 32258106 PMCID: PMC7109581 DOI: 10.1155/2020/2073803] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 02/06/2020] [Accepted: 03/02/2020] [Indexed: 12/19/2022]
Abstract
Objective The mechanism underlying the fatigue of football players is closely related to the energy depletion and accumulation of metabolites; the present study tries to explore the metabolic mechanism in teenage football players during exercise-induced fatigue. Methods 12 teenage football players were subjected to three groups of combined training by using a cycle ergometer, with the subjective Rating of Perceived Exertion (RPE) as a fatigue criterion. The following indicators were measured in each group after training: maximum oxygen uptake (VO2max), anaerobic power, and average anaerobic power. Urine samples were collected before and after the training. Gas chromatography-mass spectrometry (GC-MS) was performed for the metabonomics analysis of the samples. The metabolism data was analyzed by using principal component analysis (PCA) and orthogonal partial least squares analysis (OPLS-DA), through the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to confirm the potential differences between metabolites, and the MetPA database was used to analyze the related metabolic pathways. Results There was no significant difference between the maximal oxygen uptakes among the three groups. Compared with group 1, the maximum and average anaerobic power in group 3 significantly decreased (p < 0.05) at the end of training. GC-MS detected 635 metabolites in the urine samples. Through PCA, OPLS-DA analysis, and KEGG matching, 25 different metabolites (3↑22↓) that met the conditions were finally selected. These different metabolites belonged to 5 metabolic pathways: glycine-serine-threonine metabolism, citrate cycle, tyrosine metabolism, nitrogen metabolism, and glycerophospholipid metabolism. Conclusions During the combined exercise of aerobic and anaerobic metabolism, teenage football players show a significant decrease in anaerobic capacity after fatigue. The metabolic mechanism of exercise fatigue was related to disorders in amino acid and energy metabolism.
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Schranner D, Kastenmüller G, Schönfelder M, Römisch-Margl W, Wackerhage H. Metabolite Concentration Changes in Humans After a Bout of Exercise: a Systematic Review of Exercise Metabolomics Studies. SPORTS MEDICINE-OPEN 2020; 6:11. [PMID: 32040782 PMCID: PMC7010904 DOI: 10.1186/s40798-020-0238-4] [Citation(s) in RCA: 122] [Impact Index Per Article: 30.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 01/20/2020] [Indexed: 12/27/2022]
Abstract
Background Exercise changes the concentrations of many metabolites, which are small molecules (< 1.5 kDa) metabolized by the reactions of human metabolism. In recent years, especially mass spectrometry-based metabolomics methods have allowed researchers to measure up to hundreds of metabolites in a single sample in a non-biased fashion. To summarize human exercise metabolomics studies to date, we conducted a systematic review that reports the results of experiments that found metabolite concentrations changes after a bout of human endurance or resistance exercise. Methods We carried out a systematic review following PRISMA guidelines and searched for human metabolomics studies that report metabolite concentrations before and within 24 h after endurance or resistance exercise in blood, urine, or sweat. We then displayed metabolites that significantly changed their concentration in at least two experiments. Results Twenty-seven studies and 57 experiments matched our search criteria and were analyzed. Within these studies, 196 metabolites changed their concentration significantly within 24 h after exercise in at least two experiments. Human biofluids contain mainly unphosphorylated metabolites as the phosphorylation of metabolites such as ATP, glycolytic intermediates, or nucleotides traps these metabolites within cells. Lactate, pyruvate, TCA cycle intermediates, fatty acids, acylcarnitines, and ketone bodies all typically increase after exercise, whereas bile acids decrease. In contrast, the concentrations of proteinogenic and non-proteinogenic amino acids change in different directions. Conclusion Across different exercise modes and in different subjects, exercise often consistently changes the average concentrations of metabolites that belong to energy metabolism and other branches of metabolism. This dataset is a useful resource for those that wish to study human exercise metabolism.
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Affiliation(s)
- Daniela Schranner
- Exercise Biology Group, Department of Sport and Health Sciences, Technische Universität München, Munich, Germany
| | - Gabi Kastenmüller
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Martin Schönfelder
- Exercise Biology Group, Department of Sport and Health Sciences, Technische Universität München, Munich, Germany
| | - Werner Römisch-Margl
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Henning Wackerhage
- Exercise Biology Group, Department of Sport and Health Sciences, Technische Universität München, Munich, Germany.
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Characterization and Validation of an "Acute Aerobic Exercise Load" as a Tool to Assess Antioxidative and Anti-inflammatory Nutrition in Healthy Subjects Using a Statistically Integrated Approach in a Comprehensive Clinical Trial. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2019; 2019:9526725. [PMID: 31612079 PMCID: PMC6755301 DOI: 10.1155/2019/9526725] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Accepted: 06/09/2019] [Indexed: 11/17/2022]
Abstract
The homeostatic challenge may provide unique opportunities for quantitative assessment of the health-promoting effects of nutritional interventions in healthy individuals. Objective. The present study is aimed at characterizing and validating the use of acute aerobic exercise (AAE) on a treadmill at 60% of VO2max for 30 min, in assessing the antioxidative and anti-inflammatory effects of a nutritional intervention. In a controlled, randomized, parallel trial of Korean black raspberry (KBR) (n = 24/group), fasting blood and urine samples collected before and following the AAE load at either baseline or 4-week follow-up were analyzed for biochemical markers, 1H-NMR metabolomics, and transcriptomics. The AAE was characterized using the placebo data only, and either the placebo or the treatment data were used in the validation. The AAE load generated a total of 50 correlations of 44 selected markers, based on Pearson's correlation coefficient analysis of 105 differential markers. Subsequent mapping of selected markers onto the KEGG pathway dataset showed 127 pathways relevant to the AAE load. Of these, 54 pathways involving 18 key targets were annotated to be related to oxidative stress and inflammation. The biochemical responses were amplified with the AAE load as compared to those with no load, whereas, the metabolomic and transcriptomic responses were downgraded. Furthermore, target-pathway network analysis revealed that the AAE load provided more explanations on how KBR exerted antioxidant effects in healthy subjects (29 pathways involving 12 key targets with AAE vs. 12 pathways involving 2 key targets without AAE). This study provides considerable insight into the molecular changes incurred by AAE and furthers our understanding that AAE-induced homeostatic perturbation could magnify oxidative and inflammatory responses, thereby providing a unique opportunity to test functional foods for antioxidant and anti-inflammatory purposes in clinical settings with healthy subjects.
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Anti-Inflammatory State in Arabian Horses Introduced to the Endurance Training. Animals (Basel) 2019; 9:ani9090616. [PMID: 31462005 PMCID: PMC6769738 DOI: 10.3390/ani9090616] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Revised: 08/19/2019] [Accepted: 08/23/2019] [Indexed: 12/15/2022] Open
Abstract
Development of an anti-inflammatory state during physical training has been postulated in both human and equine athletes, but it is not completely understood. The aim of this study was to investigate whether endurance training changes pro- and anti-inflammatory cytokine profiles within a 20-week training season in young inexperienced endurance horses. Nine Arabian horses were examined in this prospective 20-week follow-up study. Blood samples were analysed 5 times monthly, at rest and after training sessions. Routine haematological examinations were performed. Cytokine patterns including IL-1β, IL-6, TNF-α, IL-10 mRNA expression using Real Time-PCR, and serum concentrations of IL-1β, IL-2, IL-4, IL-6, IL-17, INFγ, TNF-α, and IL-10 by ELISA test were determined. During endurance training, the most significant decrease in post-exercise cytokine type 1 levels (TNFα and IL-β) occurred within 20 weeks, beginning from the 3rd month of training. IL-6 serum level decreased after the 4th month. The results suggest that endurance training can induce advanced overall anti-inflammatory response as an adaptation to increasing workload.
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Lim Y, Hwang W, Kim JY, Lee CH, Kim YJ, Lee D, Kwon O. Synergistic mechanisms of Sanghuang-Danshen phytochemicals on postprandial vascular dysfunction in healthy subjects: A network biology approach based on a clinical trial. Sci Rep 2019; 9:9746. [PMID: 31278329 PMCID: PMC6611899 DOI: 10.1038/s41598-019-46289-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2019] [Accepted: 06/26/2019] [Indexed: 11/13/2022] Open
Abstract
With the increased risk of cardiovascular disease, the use of botanicals for vascular endothelial dysfunction has intensified. Here, we explored the synergistic mechanisms of Sanghuang–Danshen (SD) phytochemicals on the homeostatic protection against high-fat-induced vascular dysfunction in healthy subjects, using a network biology approach, based on a randomised crossover clinical trial. Seventeen differential markers identified in blood samples taken at 0, 3 and 6 h post-treatment, together with 12SD phytochemicals, were mapped onto the network platform, termed the context-oriented directed associations. The resulting vascular sub-networks illustrated associations between 10 phytochemicals with 32 targets implicated in 143 metabolic/signalling pathways. The three key events included adhesion molecule production (ellagic acid, fumaric acid and cryptotanshinone; VCAM-1, ICAM-1 and PLA2G2A; fatty acid metabolism), platelet activation (ellagic acid, protocatechuic acid and tanshinone IIA; VEGFA, APAF1 and ATF3; mTOR, p53, Rap1 and VEGF signalling pathways) and endothelial inflammation (all phytochemicals, except cryptotanshinone; 29 targets, including TP53 and CASP3; MAPK and PI3K-Akt signalling pathways, among others). Our collective findings demonstrate a potential of SD to protect unintended risks of vascular dysfunction in healthy subjects, providing a deeper understanding of the complicated synergistic mechanisms of signature phytochemicals in SD.
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Affiliation(s)
- Yeni Lim
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul, 03760, Republic of Korea
| | - Woochang Hwang
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea
| | - Ji Yeon Kim
- Department of Food Science and Technology, Seoul National University of Science and Technology, Seoul, 01811, Republic of Korea
| | - Choong Hwan Lee
- Department of Bioscience and Biotechnology, Konkuk University, Seoul, 05029, Republic of Korea
| | - Yong-Jae Kim
- Department of Neurology, Ewha Womans University School of Medicine, Seoul, 07985, Republic of Korea
| | - Doheon Lee
- Department of Bio and Brain Engineering, KAIST, Daejeon, 34141, Republic of Korea.
| | - Oran Kwon
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul, 03760, Republic of Korea.
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Plancade S, Clark A, Philippe C, Helbling JC, Moisan MP, Esquerré D, Le Moyec L, Robert C, Barrey E, Mach N. Unraveling the effects of the gut microbiota composition and function on horse endurance physiology. Sci Rep 2019; 9:9620. [PMID: 31270376 PMCID: PMC6610142 DOI: 10.1038/s41598-019-46118-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 06/20/2019] [Indexed: 12/12/2022] Open
Abstract
An integrated analysis of gut microbiota, blood biochemical and metabolome in 52 endurance horses was performed. Clustering by gut microbiota revealed the existence of two communities mainly driven by diet as host properties showed little effect. Community 1 presented lower richness and diversity, but higher dominance and rarity of species, including some pathobionts. Moreover, its microbiota composition was tightly linked to host blood metabolites related to lipid metabolism and glycolysis at basal time. Despite the lower fiber intake, community type 1 appeared more specialized to produce acetate as a mean of maintaining the energy supply as glucose concentrations fell during the race. On the other hand, community type 2 showed an enrichment of fibrolytic and cellulolytic bacteria as well as anaerobic fungi, coupled to a higher production of propionate and butyrate. The higher butyrate proportion in community 2 was not associated with protective effects on telomere lengths but could have ameliorated mucosal inflammation and oxidative status. The gut microbiota was neither associated with the blood biochemical markers nor metabolome during the endurance race, and did not provide a biomarker for race ranking or risk of failure to finish the race.
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Affiliation(s)
- Sandra Plancade
- MaIAGE, INRA, Université Paris-Saclay, Jouy-en-Josas, France
- ISBA, Université Catholique de Louvain, Louvain-la-Neuve, Belgium
| | - Allison Clark
- Gastroenterology Department, Vall d'Hebron Institut de Reserca, Barcelona, Spain
| | - Catherine Philippe
- UMR 1319, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | | | - Marie-Pierre Moisan
- UMR 1286, INRA, Université Bordeaux, Nutrition et neurobiologie intégrée, Bordeaux, France
| | | | - Laurence Le Moyec
- Unité de Biologie Intégrative et Adaptation à l'Exercice, UBIAE, EA7362, Université d'Evry, Université Paris-Saclay, Evry, France
| | - Céline Robert
- UMR 1313, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
- Ecole Nationale Vétérinaire d'Alfort, Maisons-Alfort, France
| | - Eric Barrey
- UMR 1313, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - Núria Mach
- UMR 1313, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France.
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Walsh J, Heazlewood IT, Climstein M. Body Mass Index in Master Athletes: Review of the Literature. J Lifestyle Med 2018; 8:79-98. [PMID: 30474004 PMCID: PMC6239137 DOI: 10.15280/jlm.2018.8.2.79] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2018] [Accepted: 06/10/2018] [Indexed: 12/02/2022] Open
Abstract
Background Masters athletes (MAs) have led a physically active lifestyle for an extended period of time or initiated exercise/sport in later life. Given the benefits of physical activity and exercise we investigated if body mass index (BMI), an indirect health indicator of obesity, was clinically superior in MAs as compared to controls or the general population. Methods Seven databases (Medline, PubMed, Scopus, Web of Science, CINAHL, PsycINFO, Cochrane) were electronically searched for studies on BMI (kg/m2) or as a percentage of BMI categories (underweight, normal, overweight, obesity) in MAs. Results Of the initial yield of 7,431 papers, 60 studies met our inclusion criteria and were used in this literature review. Studies identified were classified as: endurance sports (n = 14), runners (n = 14), mixed sports (n = 8), cyclists (n = 4), soccer (n = 4) swimmers (n = 3), non-specific (n = 3), orienteering (n = 2), World Masters Games (n = 2) and individual sports (n = 5). Where BMI was presented for the group of MAs the mean was 23.8 kg/m2 (± 1.1) with a range from 20.8 kg/m2 (endurance runners) to 27.3 kg/m2 (soccer players), this was significantly lower (p < 0.001) than controls ( −9.5%, 26.13 ± 1.7 kg/m2). Where gender specific BMI was reported the mean for male MAs was 23.6 kg/m2 (± 1.5) (range 22.4 kg/m2 endurance to 26.4 kg/m2 swimmers) and 22.4 kg/m2 (± 1.2) for female MAs (range 20.8 kg/m2 mixed to 24.7 kg/m2 WMG). Conclusion In most, but not all studies the BMI of MAs was significantly lower than controls. A clinically superior BMI affords MAs reduced risk with regard to a number of cardiometabolic diseases, osteoarthritis and certain types of cancers.
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Affiliation(s)
- Joe Walsh
- School of Environmental and Life Sciences, Charles Darwin University, Darwin, Australia
| | | | - Mike Climstein
- School of Health and Human Sciences, Southern Cross University, Gold Coast, Australia.,Exercise, Health and Performance Faculty Research Group, The University of Sydney, Sydney, Australia.,Water Based Research Unit, Bond University, Robina, Australia
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A Metabolomic-Based Evaluation of the Role of Commensal Microbiota throughout the Gastrointestinal Tract in Mice. Microorganisms 2018; 6:microorganisms6040101. [PMID: 30274293 PMCID: PMC6313407 DOI: 10.3390/microorganisms6040101] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Revised: 09/12/2018] [Accepted: 09/26/2018] [Indexed: 12/24/2022] Open
Abstract
Commensal microbiota colonize the surface of our bodies. The inside of the gastrointestinal tract is one such surface that provides a habitat for them. The gastrointestinal tract is a long organ system comprising of various parts, and each part possesses various functions. It has been reported that the composition of intestinal luminal metabolites between the small and large intestine are different; however, comprehensive metabolomic and commensal microbiota profiles specific to each part of the gastrointestinal lumen remain obscure. In this study, by using capillary electrophoresis time-of-flight mass spectrometry (CE-TOFMS)-based metabolome and 16S rRNA gene-based microbiome analyses of specific pathogen-free (SPF) and germ-free (GF) murine gastrointestinal luminal profiles, we observed the different roles of commensal microbiota in each part of the gastrointestinal tract involved in carbohydrate metabolism and nutrient production. We found that the concentrations of most amino acids in the SPF small intestine were higher than those in the GF small intestine. Furthermore, sugar alcohols such as mannitol and sorbitol accumulated only in the GF large intestine, but not in the SPF large intestine. On the other hand, pentoses, such as arabinose and xylose, gradually accumulated from the cecum to the colon only in SPF mice, but were undetected in GF mice. Correlation network analysis between the gastrointestinal microbes and metabolites showed that niacin metabolism might be correlated to Methylobacteriaceae. Collectively, commensal microbiota partially affects the gastrointestinal luminal metabolite composition based on their metabolic dynamics, in cooperation with host digestion and absorption.
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Gamble LJ, Frye C, Hansen C, Locasale J, Liu X, Davis M, Wakshlag J. Serum metabolomics of Alaskan sled dogs during endurance racing. COMPARATIVE EXERCISE PHYSIOLOGY 2018. [DOI: 10.3920/cep180010] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Long distance racing sled dogs are fed diets high in fat since lipid metabolism has long been thought to be the major substrate utilised during endurance racing. However, recent studies suggests that sled dogs are equally, if not more, dependent on carbohydrate metabolism. Considering the metabolic disparity regarding the energetics of endurance exercise, our study aimed to explore the serum metabolomic profiles of sled dogs running a 1,609 km (1000 mile) race. We hypothesised that there would be amino acid depletion due to gluconeogenesis and alteration in the citric acid cycle (CAC) based on the limited carbohydrate diet they consume. Serum was obtained from 6 Alaskan sled dogs approximately 24 h prior to the race (Whitehorse), at the midrace checkpoint (Dawson City), and again at the finish (Fairbanks). Serum was analysed using liquid chromatography-mass spectrometry for over 200 metabolites involved in amino acid, lipid, and carbohydrate metabolism with MetaboAnalyst Software 3.0. Major metabolic changes observed were decreased free fatty acids and enhanced acyl-carnitine derivatives during the race compared to baseline. Serum depletion of nearly all amino acids except for branched chain amino acids and phenylalanine was observed suggesting extensive protein catabolism. Many of the CAC intermediates were variable with increases in abnormal end glycation products. These results highlight that sled dogs display general amino acid depletion for pyruvate, acetyl CoA and CAC pathway intermediates with increased carnitine bound lipid metabolites, suggesting rate limiting beta-oxidation during endurance exercise, particularly at mid race. Further metabolomic studies to assess the influence of exercise and nutritional regimens are warranted to better understand substrate utilisation in working dogs.
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Affiliation(s)
- L.-J. Gamble
- Department of Clinical Science, Cornell University College of Veterinary Medicine, 930 N Campus, Ithaca, NY 14853, USA
| | - C.W. Frye
- Department of Clinical Science, Cornell University College of Veterinary Medicine, 930 N Campus, Ithaca, NY 14853, USA
| | - C.M. Hansen
- Department of Veterinary Medicine, University of Alaska, 505 South Chandalar Drive, Fairbanks, AK 99775, USA
| | - J.W. Locasale
- Duke Molecular and Physiology Institute, Duke University School of Medicine, 300 North Duke Street, Durham, NC 27701, USA
| | - X. Liu
- Duke Molecular and Physiology Institute, Duke University School of Medicine, 300 North Duke Street, Durham, NC 27701, USA
| | - M.S. Davis
- Center for Veterinary Health Sciences, Oklahoma State University College of Veterinary Medicine, 2065 W. Farm Road, Stillwater, OK 74078, USA
| | - J.J. Wakshlag
- Department of Clinical Science, Cornell University College of Veterinary Medicine, 930 N Campus, Ithaca, NY 14853, USA
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van Veldhoven K, Keski-Rahkonen P, Barupal DK, Villanueva CM, Font-Ribera L, Scalbert A, Bodinier B, Grimalt JO, Zwiener C, Vlaanderen J, Portengen L, Vermeulen R, Vineis P, Chadeau-Hyam M, Kogevinas M. Effects of exposure to water disinfection by-products in a swimming pool: A metabolome-wide association study. ENVIRONMENT INTERNATIONAL 2018; 111:60-70. [PMID: 29179034 PMCID: PMC5786667 DOI: 10.1016/j.envint.2017.11.017] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Revised: 10/31/2017] [Accepted: 11/20/2017] [Indexed: 05/17/2023]
Abstract
BACKGROUND Exposure to disinfection by-products (DBPs) in drinking water and chlorinated swimming pools are associated with adverse health outcomes, but biological mechanisms remain poorly understood. OBJECTIVES Evaluate short-term changes in metabolic profiles in response to DBP exposure while swimming in a chlorinated pool. MATERIALS AND METHODS The PISCINA-II study (EXPOsOMICS project) includes 60 volunteers swimming 40min in an indoor pool. Levels of most common DBPs were measured in water and in exhaled breath before and after swimming. Blood samples, collected before and 2h after swimming, were used for metabolic profiling by liquid-chromatography coupled to high-resolution mass-spectrometry. Metabolome-wide association between DBP exposures and each metabolic feature was evaluated using multivariate normal (MVN) models. Sensitivity analyses and compound annotation were conducted. RESULTS Exposure levels of all DBPs in exhaled breath were higher after the experiment. A total of 6,471 metabolic features were detected and 293 features were associated with at least one DBP in exhaled breath following Bonferroni correction. A total of 333 metabolic features were associated to at least one DBP measured in water or urine. Uptake of DBPs and physical activity were strongly correlated and mutual adjustment reduced the number of statistically significant associations. From the 293 features, 20 could be identified corresponding to 13 metabolites including compounds in the tryptophan metabolism pathway. CONCLUSION Our study identified numerous molecular changes following a swim in a chlorinated pool. While we could not explicitly evaluate which experiment-related factors induced these associations, molecular characterization highlighted metabolic features associated with exposure changes during swimming.
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Affiliation(s)
- Karin van Veldhoven
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | | | - Dinesh K Barupal
- International Agency for Research on Cancer (IARC), Lyon, France
| | - Cristina M Villanueva
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | - Laia Font-Ribera
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
| | | | - Barbara Bodinier
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Joan O Grimalt
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDÆA-CSIC), Barcelona, Spain
| | - Christian Zwiener
- Center for Applied Geoscience, Environmental Analytical Chemistry, University of Tuebingen, Tuebingen, Germany
| | - Jelle Vlaanderen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Roel Vermeulen
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands
| | - Paolo Vineis
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Italian Insitute for Genomic Medicine (IIGM), Turin, Italy
| | - Marc Chadeau-Hyam
- MRC/PHE Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Utrecht University, Utrecht, The Netherlands.
| | - Manolis Kogevinas
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain
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Nikolaidis S, Kosmidis I, Sougioultzis M, Kabasakalis A, Mougios V. Diurnal variation and reliability of the urine lactate concentration after maximal exercise. Chronobiol Int 2017; 35:24-34. [DOI: 10.1080/07420528.2017.1380037] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Affiliation(s)
- Stefanos Nikolaidis
- School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
- Kleanthis Vikelidis Swimming Pool, Thessaloniki, Greece
| | - Ioannis Kosmidis
- School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | | | - Athanasios Kabasakalis
- School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Vassilis Mougios
- School of Physical Education and Sport Science, Aristotle University of Thessaloniki, Thessaloniki, Greece
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A compendium of physical exercise-related human genes: an 'omic scale analysis. Biol Sport 2017; 35:3-11. [PMID: 30237656 PMCID: PMC6135974 DOI: 10.5114/biolsport.2018.70746] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Revised: 10/11/2016] [Accepted: 06/05/2017] [Indexed: 12/14/2022] Open
Abstract
Regular exercise is an exogenous factor of gene regulation with numerous health benefits. The study aimed to evaluate human genes linked to physical exercise in an ‘omic scale, addressing biological questions to the generated database. Three literature databases were searched with the terms ‘exercise’, ‘fitness’, ‘physical activity’, ‘genetics’ and ‘gene expression’. For additional references, papers were scrutinized and a text-mining tool was used. Papers linking genes to exercise in humans through microarray, RNA-Seq, RT-PCR and genotyping studies were included. Genes were extracted from the collected literature, together with information on exercise protocol, experimental design, gender, age, number of individuals, analytical method, fold change and statistical data. The ‘omic scale dataset was characterized and evaluated with bioinformatics tools searching for gene expression patterns, functional meaning and gene clusters. As a result, a physical exercise-related human gene compendium was created, with data from 58 scientific papers and 5.147 genes functionally correlated with 17 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. While 50.9% of the gene set was up-regulated, 41.9% was down-regulated. 743 up- and 530 down-regulated clusters were found, some connected by regulatory networks. To summarize, up- and down-regulation was encountered, with a wide genomic distribution of the gene set and up- and down-regulated clusters possibly assembled by functional gene evolution. Physical exercise elicits a widespread response in gene expression.
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Liu D, Wang R, Grant AR, Zhang J, Gordon PM, Wei Y, Chen P. Immune adaptation to chronic intense exercise training: new microarray evidence. BMC Genomics 2017; 18:29. [PMID: 28056786 PMCID: PMC5216585 DOI: 10.1186/s12864-016-3388-5] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2015] [Accepted: 12/07/2016] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND Endurance exercise training, especially the high-intensity training, exhibits a strong influence on the immune system. However, the mechanisms underpinning the immune-regulatory effect of exercise remain unclear. Consequently, we chose to investigate the alterations in the transcriptional profile of blood leukocytes in young endurance athletes as compared with healthy sedentary controls, using Affymetrix human gene 1.1 ST array. RESULTS Group differences in the transcriptome were analyzed using Intensity-based Hierarchical Bayes method followed by a Logistic Regression-based gene set enrichment method. We identified 72 significant transcripts differentially expressed in the leukocyte transcriptome of young endurance athletes as compared with non-athlete controls with a false discovery rate (FDR) < 0.05, comprising mainly the genes encoding ribosomal proteins and the genes involved in mitochondrial oxidative phosphorylation. Gene set enrichment analysis identified three major gene set clusters: two were up-regulated in athletes including gene translation and ribosomal protein production, and mitochondria oxidative phosphorylation and biogenesis; one gene set cluster identified as transcriptionally downregulated in athletes was related to inflammation and immune activity. CONCLUSION Our data indicates that in young healthy individuals, intense endurance exercise training (exemplifed by athletic training) can chronically induce transcriptional changes in the peripheral blood leukocytes, upregulating genes related to protein production and mitochondrial energetics, and downregulating genes involved in inflammatory response. The findings of the study also provide support for the notion that peripheral blood can be used as a surrogate tissue to study the systemic effect of exercise training.
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Affiliation(s)
- Dongmei Liu
- School of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China
| | - Ru Wang
- School of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China
| | - Ana R. Grant
- Department of Computational Medicine & Bioinformatics / Bioinformatics Core, University of Michigan Medical School, Ann Arbor, MI USA
| | - Jinming Zhang
- College of sports medicine and rehabilitation, Taishan Medical University, Shandong Province, China
| | - Paul M. Gordon
- Department of Health, Human Performance and Recreation, Baylor University, Waco, TX USA
| | - Yuqin Wei
- School of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China
| | - Peijie Chen
- School of Kinesiology, Shanghai University of Sport, Qinyuanhuan Road, #650, Yangpu District, Shanghai, China
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Kononikhin AS, Starodubtseva NL, Pastushkova LK, Kashirina DN, Fedorchenko KY, Brhozovsky AG, Popov IA, Larina IM, Nikolaev EN. Spaceflight induced changes in the human proteome. Expert Rev Proteomics 2016; 14:15-29. [PMID: 27817217 DOI: 10.1080/14789450.2017.1258307] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
INTRODUCTION Spaceflight is one of the most extreme conditions encountered by humans: Individuals are exposed to radiation, microgravity, hypodynamia, and will experience isolation. A better understanding of the molecular processes induced by these factors may allow us to develop personalized countermeasures to minimize risks to astronauts. Areas covered: This review is a summary of literature searches from PubMed, NASA, Roskosmos and the authors' research experiences and opinions. The review covers the available proteomic data on the effects of spaceflight factors on the human body, including both real space missions and ground-based model experiments. Expert commentary: Overall, the authors believe that the present background, methodology and equipment improvements will enhance spaceflight safety and support accumulation of new knowledge on how organisms adapt to extreme conditions.
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Affiliation(s)
- Alexey S Kononikhin
- a Institute of Biomedical Problems - Russian Federation State Scientific Research Center, Laboratory of proteomics , Russian Academy of Sciences , Moscow , Russia.,b Moscow Institute of Physics and Technology , Laboratory of ion and molecular physics , Moscow , Russia.,d V.L. Talrose Institute for Energy Problems of Chemical Physics , Laboratory of ion and molecular physics, Russian Academy of Sciences , Moscow , Russia
| | - Natalia L Starodubtseva
- b Moscow Institute of Physics and Technology , Laboratory of ion and molecular physics , Moscow , Russia.,c V. I. Kulakov Research Center for Obstetrics, Gynecology and Perinatology , Laboratory of proteomics and metabolomics, Ministry of Healthcare of the Russian Federation , Moscow , Russia.,d V.L. Talrose Institute for Energy Problems of Chemical Physics , Laboratory of ion and molecular physics, Russian Academy of Sciences , Moscow , Russia
| | - Lyudmila Kh Pastushkova
- a Institute of Biomedical Problems - Russian Federation State Scientific Research Center, Laboratory of proteomics , Russian Academy of Sciences , Moscow , Russia
| | - Daria N Kashirina
- a Institute of Biomedical Problems - Russian Federation State Scientific Research Center, Laboratory of proteomics , Russian Academy of Sciences , Moscow , Russia
| | | | - Alexander G Brhozovsky
- a Institute of Biomedical Problems - Russian Federation State Scientific Research Center, Laboratory of proteomics , Russian Academy of Sciences , Moscow , Russia
| | - Igor A Popov
- b Moscow Institute of Physics and Technology , Laboratory of ion and molecular physics , Moscow , Russia.,c V. I. Kulakov Research Center for Obstetrics, Gynecology and Perinatology , Laboratory of proteomics and metabolomics, Ministry of Healthcare of the Russian Federation , Moscow , Russia.,d V.L. Talrose Institute for Energy Problems of Chemical Physics , Laboratory of ion and molecular physics, Russian Academy of Sciences , Moscow , Russia
| | - Irina M Larina
- a Institute of Biomedical Problems - Russian Federation State Scientific Research Center, Laboratory of proteomics , Russian Academy of Sciences , Moscow , Russia
| | - Evgeny N Nikolaev
- d V.L. Talrose Institute for Energy Problems of Chemical Physics , Laboratory of ion and molecular physics, Russian Academy of Sciences , Moscow , Russia.,e Emanuel Institute for Biochemical Physics , Russian Academy of Sciences , Moscow , Russia.,f Skolkovo Institute of Science and Technology, Space Cluster , Skolkovo , Russia
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Nikolaidis S, Kosmidis I, Koulidou T, Panagakis S, Tsalis G, Loupos D, Mougios V. Improved reliability of the urine lactate concentration under controlled hydration after maximal exercise. Biomarkers 2016; 22:614-620. [PMID: 27788589 DOI: 10.1080/1354750x.2016.1252963] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
CONTEXT Urine lactate may be a novel biomarker of lactate production capacity but its reliability has been unsatisfactory so far. OBJECTIVE To compare the reliability of urine lactate between controlled hydration and no hydration after maximal exercise. MATERIAL AND METHODS Athletes performed swimming exercise four times: two followed by consumption of 1 L of water and two followed by no water intake. Blood and urine lactate was measured. RESULTS The reliability of urine lactate was good and similar to that in blood only after controlled hydration. Blood and urine lactate were correlated under both hydration conditions. DISCUSSION AND CONCLUSION Controlled hydration after exercise provides satisfactory reliability of urine lactate.
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Affiliation(s)
- Stefanos Nikolaidis
- a Department of Physical Education and Sport Science at Thessaloniki , Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Ioannis Kosmidis
- a Department of Physical Education and Sport Science at Thessaloniki , Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Triantafullia Koulidou
- a Department of Physical Education and Sport Science at Thessaloniki , Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Sotiris Panagakis
- a Department of Physical Education and Sport Science at Thessaloniki , Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - George Tsalis
- b Department of Physical Education and Sport Science at Serres , Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Dimitris Loupos
- a Department of Physical Education and Sport Science at Thessaloniki , Aristotle University of Thessaloniki , Thessaloniki , Greece
| | - Vassilis Mougios
- a Department of Physical Education and Sport Science at Thessaloniki , Aristotle University of Thessaloniki , Thessaloniki , Greece
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Xiao X, Hu M, Liu M, Hu JZ. 1H NMR Metabolomics Study of Spleen from C57BL/6 Mice Exposed to Gamma Radiation. ACTA ACUST UNITED AC 2016; 6:1-11. [PMID: 27019763 PMCID: PMC4807627 DOI: 10.4172/2153-0769.1000165] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Due to the potential risk of accidental exposure to gamma radiation, it’s critical to identify the biomarkers of radiation exposed creatures. In the present study, NMR based metabolomics combined with multivariate data analysis to evaluate the metabolites changed in the C57BL/6 mouse spleen after 4 days whole body exposure to 3.0 Gy and 7.8 Gy gamma radiations. Principal component analysis (PCA) and orthogonal projection to latent structures analysis (OPLS) are employed for classification and identification potential biomarkers associated with gamma irradiation. Two different strategies for NMR spectral data reduction (i.e., spectral binning and spectral deconvolution) are combined with normalize to constant sum and unit weight before multivariate data analysis, respectively. The combination of spectral deconvolution and normalization to unit weight is the best way for identifying discriminatory metabolites between the irradiation and control groups. Normalized to the constant sum may achieve some pseudo biomarkers. PCA and OPLS results shown that the exposed groups can be well separated from the control group. Leucine, 2-aminobutyrate, valine, lactate, arginine, glutathione, 2-oxoglutarate, creatine, tyrosine, phenylalanine, π-methylhistidine, taurine, myoinositol, glycerol and uracil are significantly elevated while ADP is decreased significantly. These significantly changed metabolites are associated with multiple metabolic pathways and may be potential biomarkers in the spleen exposed to gamma irradiation.
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Wu J, Gao Y. Physiological conditions can be reflected in human urine proteome and metabolome. Expert Rev Proteomics 2015; 12:623-36. [PMID: 26472227 DOI: 10.1586/14789450.2015.1094380] [Citation(s) in RCA: 99] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Biomarkers are the measurable changes associated with physiological or pathophysiological processes. Urine, unlike blood, lacks mechanisms for maintaining homeostasis: it is therefore an ideal source of biomarkers that can reflect systemic changes. Urinary proteome and metabolome have been studied for their diagnostic capabilities, ability to monitor disease and prognostic utility. In this review, the effects of common physiological conditions such as gender, age, diet, daily rhythms, exercise, hormone status, lifestyle and extreme environments on human urine are discussed. These effects should be considered when biomarker studies of diseases are conducted. More importantly, if physiological changes can be reflected in urine, we have reason to expect that urine will become widely used to detect small and early changes in pathological and/or pharmacological conditions.
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Affiliation(s)
- Jianqiang Wu
- a 1 Department of Pathophysiology, National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Youhe Gao
- a 1 Department of Pathophysiology, National Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China.,b 2 Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering and Biotechnology Beijing Key Laboratory, Beijing, 100875, China
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O'Brien KA, Griffin JL, Murray AJ, Edwards LM. Mitochondrial responses to extreme environments: insights from metabolomics. EXTREME PHYSIOLOGY & MEDICINE 2015; 4:7. [PMID: 25949809 PMCID: PMC4422479 DOI: 10.1186/s13728-015-0026-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 04/07/2015] [Indexed: 12/12/2022]
Abstract
Humans are capable of survival in a remarkable range of environments, including the extremes of temperature and altitude as well as zero gravity. Investigation into physiological function in response to such environmental stresses may help further our understanding of human (patho-) physiology both at a systems level and in certain disease states, making it a highly relevant field of study. This review focuses on the application of metabolomics in assessing acclimatisation to these states, particularly the insights this approach can provide into mitochondrial function. It includes an overview of metabolomics and the associated analytical tools and also suggests future avenues of research.
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Affiliation(s)
- Katie A O'Brien
- Centre of Human & Aerospace Physiological Sciences, King's College London, London, UK
| | - Julian L Griffin
- MRC Human Nutrition Research Unit, Elsie Widdowson Laboratory, Fulbourn Road, Cambridge, England ; Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, UK
| | - Andrew J Murray
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - Lindsay M Edwards
- Centre of Human & Aerospace Physiological Sciences, King's College London, London, UK ; Fibrosis Drug Performance Unit, GlaxoSmithKline Medicines Research Centre, Stevenage, UK
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The maternal-age-associated risk of congenital heart disease is modifiable. Nature 2015; 520:230-3. [PMID: 25830876 PMCID: PMC4393370 DOI: 10.1038/nature14361] [Citation(s) in RCA: 57] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Accepted: 02/27/2015] [Indexed: 01/17/2023]
Abstract
Maternal age is a risk factor for congenital heart disease even in the absence of any chromosomal abnormality in the newborn1-7. Whether the basis of the risk resides with the mother or oocyte is unknown. The impact of maternal age on congenital heart disease can be modeled in mouse pups that harbor a mutation of the cardiac transcription factor gene Nkx2-58. Here, reciprocal ovarian transplants between young and old mothers establish a maternal basis for the age-associated risk. A high-fat diet does not accelerate the effect of maternal aging, so hyperglycemia and obesity do not simply explain the mechanism. The age-associated risk varies with the mother's strain background, making it a quantitative genetic trait. Most remarkably, voluntary exercise, whether begun by mothers at a young age or later in life, can mitigate the risk when they are older. Thus, even when the offspring carry a causal mutation, an intervention aimed at the mother can meaningfully reduce their risk of congenital heart disease.
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Daskalaki E, Blackburn G, Kalna G, Zhang T, Anthony N, Watson DG. A study of the effects of exercise on the urinary metabolome using normalisation to individual metabolic output. Metabolites 2015; 5:119-39. [PMID: 25734341 PMCID: PMC4381293 DOI: 10.3390/metabo5010119] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 02/13/2015] [Accepted: 02/22/2015] [Indexed: 12/30/2022] Open
Abstract
Aerobic exercise, in spite of its multi-organ benefit and potent effect on the metabolome, has yet to be investigated comprehensively via an untargeted metabolomics technology. We conducted an exploratory untargeted liquid chromatography mass spectrometry study to investigate the effects of a one-h aerobic exercise session in the urine of three physically active males. Individual urine samples were collected over a 37-h protocol (two pre-exercise and eight post-exercise). Raw data were subjected to a variety of normalization techniques, with the most effective measure dividing each metabolite by the sum response of that metabolite for each individual across the 37-h protocol expressed as a percentage. This allowed the metabolite responses to be plotted on a normalised scale. Our results highlight significant metabolites located in the following systems: purine pathway, tryptophan metabolism, carnitine metabolism, cortisol metabolism, androgen metabolism, amino acid oxidation, as well as metabolites from the gastrointestinal microbiome. Many of the significant changes observed in our pilot investigation mirror previous research studies, of various methodological designs, published within the last 15 years, although they have never been reported at the same time in a single study.
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Affiliation(s)
- Evangelia Daskalaki
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Gavin Blackburn
- Glasgow Polyomics, University of Glasgow, Wolfson Wohl Cancer Research Centre, Glasgow G61 1 BD, UK.
| | - Gabriela Kalna
- The Beatson Institute for Cancer Research, Garscube Estate, Glasgow G61 1BD, UK.
| | - Tong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Nahoum Anthony
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - David G Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
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Monte AA, Brocker C, Nebert DW, Gonzalez FJ, Thompson DC, Vasiliou V. Improved drug therapy: triangulating phenomics with genomics and metabolomics. Hum Genomics 2014; 8:16. [PMID: 25181945 PMCID: PMC4445687 DOI: 10.1186/s40246-014-0016-9] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 08/05/2014] [Indexed: 12/23/2022] Open
Abstract
Embracing the complexity of biological systems has a greater likelihood to improve prediction of clinical drug response. Here we discuss limitations of a singular focus on genomics, epigenomics, proteomics, transcriptomics, metabolomics, or phenomics-highlighting the strengths and weaknesses of each individual technique. In contrast, 'systems biology' is proposed to allow clinicians and scientists to extract benefits from each technique, while limiting associated weaknesses by supplementing with other techniques when appropriate. Perfect predictive modeling is not possible, whereas modeling of intertwined phenomic responses using genomic stratification with metabolomic modifications may greatly improve predictive values for drug therapy. We thus propose a novel-integrated approach to personalized medicine that begins with phenomic data, is stratified by genomics, and ultimately refined by metabolomic pathway data. Whereas perfect prediction of efficacy and safety of drug therapy is not possible, improvements can be achieved by embracing the complexity of the biological system. Starting with phenomics, the combination of linking metabolomics to identify common biologic pathways and then stratifying by genomic architecture, might increase predictive values. This systems biology approach has the potential, in specific subsets of patients, to avoid drug therapy that will be either ineffective or unsafe.
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Affiliation(s)
- Andrew A Monte
- University of Colorado Department of Emergency Medicine, Leprino Building, 7th Floor Campus Box B-215, 12401 E. 17th Avenue, Aurora, CO, 80045, USA.
- Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, 80045, USA.
- Rocky Mountain Poison & Drug Center, Denver, CO, 80204, USA.
| | - Chad Brocker
- Laboratory of Metabolism, Center for Cancer Research, National Institute of Cancer, Bethesda, MD, 20892, USA.
| | - Daniel W Nebert
- Division of Human Genetics, Department of Pediatrics and Molecular Developmental Biology, University of Cincinnati Medical Center, Cincinnati, OH, 45220, USA.
- Department of Environmental Health and Center for Environmental Genetics, University of Cincinnati Medical Center, Cincinnati, OH, 45220, USA.
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Institute of Cancer, Bethesda, MD, 20892, USA.
| | - David C Thompson
- Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, 80045, USA.
| | - Vasilis Vasiliou
- Skaggs School of Pharmacy and Pharmaceutical Sciences, Aurora, CO, 80045, USA.
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