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Lu J, Tang Z, Xu M, Lu J, Wang F, Ni X, Wang C, Yu B. Skeletal muscle cystathionine γ-lyase deficiency promotes obesity and insulin resistance and results in hyperglycemia and skeletal muscle injury upon HFD in mice. Redox Rep 2024; 29:2347139. [PMID: 38718286 DOI: 10.1080/13510002.2024.2347139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/30/2024] Open
Abstract
OBJECTIVES The objective of this study was to investigate whether skeletal muscle cystathionine γ-lyase (CTH) contributes to high-fat diet (HFD)-induced metabolic disorders using skeletal muscle Cth knockout (CthΔskm) mice. METHODS The CthΔskm mice and littermate Cth-floxed (Cthf/f) mice were fed with either HFD or chow diet for 13 weeks. Metabolomics and transcriptome analysis were used to assess the impact of CTH deficiency in skeletal muscle. RESULTS Metabolomics coupled with transcriptome showed that CthΔskm mice displayed impaired energy metabolism and some signaling pathways linked to insulin resistance (IR) in skeletal muscle although the mice had normal insulin sensitivity. HFD led to reduced CTH expression and impaired energy metabolism in skeletal muscle in Cthf/f mice. CTH deficiency and HFD had some common pathways enriched in the aspects of amino acid metabolism, carbon metabolism, and fatty acid metabolism. CthΔskm+HFD mice exhibited increased body weight gain, fasting blood glucose, plasma insulin, and IR, and reduced glucose transporter 4 and CD36 expression in skeletal muscle compared to Cthf/f+HFD mice. Impaired mitochondria and irregular arrangement in myofilament occurred in CthΔskm+HFD mice. Omics analysis showed differential pathways enriched between CthΔskm mice and Cthf/f mice upon HFD. More severity in impaired energy metabolism, reduced AMPK signaling, and increased oxidative stress and ferroptosis occurred in CthΔskm+HFD mice compared to Cthf/f+HFD mice. DISCUSSION Our results indicate that skeletal muscle CTH expression dysregulation contributes to metabolism disorders upon HFD.
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Affiliation(s)
- Jiani Lu
- Department of Rehabilitation, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
| | - Zhengshan Tang
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, People's Republic of China
- National International Joint Research Center for Medical Metabolomics, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Miaomiao Xu
- School of Exercise and Health, Shanghai University of Sport, Shanghai, People's Republic of China
- School of Physical Education and Health, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China
- South China Research Center for Acupuncture and Moxibustion, Medical College of Acu-Moxi and Re-Habilitation, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China
| | - Jianqiang Lu
- School of Exercise and Health, Shanghai University of Sport, Shanghai, People's Republic of China
| | - Fengmei Wang
- Department of Obstetrics and Gynecology, 900th Hospital of Joint Logistics Support Force, Fujian Medical University, Fuzhou, People's Republic of China
| | - Xin Ni
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, People's Republic of China
- National International Joint Research Center for Medical Metabolomics, Xiangya Hospital, Central South University, Changsha, People's Republic of China
| | - Changnan Wang
- School of Life Sciences, Shanghai University, Shanghai, People's Republic of China
| | - Bo Yu
- Department of Rehabilitation, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China
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Wang J, Wang Y, Li Z, Wang J, Zhao H, Zhang X. Gut microbiota, a key to understanding the knowledge gaps on micro-nanoplastics-related biological effects and biodegradation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 944:173799. [PMID: 38852863 DOI: 10.1016/j.scitotenv.2024.173799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2024] [Revised: 04/23/2024] [Accepted: 06/03/2024] [Indexed: 06/11/2024]
Abstract
Micro-nanoplastics (MNPs) pollution as a global environmental issue has received increasing interest in recent years. MNPs can enter and accumulate in the organisms including human beings mainly via ingestion and inhalation, and large amounts of foodborne MNPs have been frequently detected in human intestinal tracts and fecal samples. MNPs regulate the structure composition and metabolic functions of gut microbiota, which may cause the imbalance of intestinal ecosystems of the hosts and further mediate the occurrence and development of various diseases. In addition, a growing number of MNPs-degrading strains have been isolated from organismal feces. MNPs-degraders colonize the plastic surfaces and form the biofilms, and the long-chain polymers of MNPs can be biologically depolymerized into short chains. In general, MNPs are gradually degraded into small molecule substances (e.g., N2, CH4, H2O, and CO2) via a series of enzymatic catalyses, mainly including biodeterioration, fragmentation, assimilation, and mineralization. In this review, we outline the current progress of MNPs effects on gut microbiota and MNPs degradation by gut microbiota, which provide a certain theoretical basis for fully understanding the knowledge gaps on MNPs-related biological effect and biodegradation.
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Affiliation(s)
- Jiping Wang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yutong Wang
- China University of Mining & Technology-Beijing, Beijing, China
| | - Zhenyu Li
- Xiangya School of Medicine, Central South University, Changsha, China
| | - Jie Wang
- Xiangya Stomatological Hospital, Central South University, Changsha, China.
| | - Hongbo Zhao
- School of Minerals Processing and Bioengineering, Central South University, Changsha, China
| | - Xian Zhang
- Department of Occupational and Environmental Health, Xiangya School of Public Health, Central South University, Changsha, China.
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3
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Steiner B, Leitner C, Stadler D, Prugger EM, Magnes C, Herzog PL. Enzymatic detection of α-hydroxybutyrate, an important marker of insulin resistance, and comparison with LC-MS/MS detection. Pract Lab Med 2024; 40:e00398. [PMID: 38745675 PMCID: PMC11091673 DOI: 10.1016/j.plabm.2024.e00398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 04/24/2024] [Accepted: 05/03/2024] [Indexed: 05/16/2024] Open
Abstract
Aim The metabolite α-hydroxybutyrate (α-HB) is an important marker of insulin resistance and impaired glucose tolerance allowing to identify patients at risk of developing diabetes and related metabolic disorders before any symptoms become apparent. At present, its exact quantification requires mass spectrometry (LC-MS), which is not compatible with routine laboratory use. Accordingly, a simple enzymatic-based method was assessed and its applicability and measuring accuracy compared with LC-MS was investigated. Methods Standards, serum, and plasma samples containing α-HB were prepared with routine procedures and their α-HB contents measured with the XpressGT® enzymatic test kit photometrically or with LC-MS and multiple reaction monitoring. Results α-HB detection with XpressGT® yielded highly linear calibration curves and 102 % recovery of stocks added to commercial samples. Stability of the analyte in serum and plasma samples prepared with various anti-coagulants was >90 % after 46 h for several widely used preparations and recovery after 3 freeze-thaw cycles was ≥95 % with these anti-coagulants. A direct comparison of 75 samples indicated very good agreement of α-HB levels determined by both methods, 86 % of XpressGT® samples being within ±20 % of LC-MS values and even 93 % within ±20 % considering only samples above 30 μM concentration. Conclusion XpressGT®-based detection of α-HB is an easily applicable method which can be used for accurate and reliable quantification of the metabolite in clinical practice. Routine α-HB determination in patients at risk of developing diabetes would allow early establishment of preventive measures or pharmacological intervention reducing the risk for the onset of serious diabetes-related health problems.
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Affiliation(s)
| | | | | | - Eva-Maria Prugger
- JOANNEUM RESEARCH Forschungsgesellschaft mbH HEALTH - Institute for Biomedicine and Health Sciences, Neue Stiftingtalstraße 2, 8010, Graz, Austria
| | - Christoph Magnes
- JOANNEUM RESEARCH Forschungsgesellschaft mbH HEALTH - Institute for Biomedicine and Health Sciences, Neue Stiftingtalstraße 2, 8010, Graz, Austria
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Lee SH, Lin WY, Cheng TJ. Microbiota-mediated metabolic perturbations in the gut and brain of mice after microplastic exposure. CHEMOSPHERE 2024; 350:141026. [PMID: 38145850 DOI: 10.1016/j.chemosphere.2023.141026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 12/27/2023]
Abstract
Microplastics (MPs), emerging environmental toxicants, have drawn attention because of their wide distribution in the environment. Exposure to MPs induces gut microbiota dysbiosis, intestinal barrier dysfunction, metabolic perturbations, and neurotoxicity in different rodents. However, the relationship between MPs, gut microbiota, and the metabolome of the gut and brain in mice remains unclear. In this study, female C57BL/6 mice were orally gavaged with vehicle, 200 nm MP, and 800 nm MP three times per week for four weeks. Cecal contents were collected for gut microbiota analysis using 16S rRNA gene sequencing. Intestinal and brain tissues from mice were used to determine metabolic profiles using liquid chromatography-mass spectrometry (LC-MS). The results showed that MP altered microbiota composition, accompanied by metabolic perturbations in the mouse gut and brain. Specifically, Firmicutes and Bacteroidetes were suggested to be important phyla for MP exposure, partially dominating further metabolite alterations. Simultaneously, MP-induced metabolic profiles were associated with energy homeostasis and bile acid, nucleotide, and carnitine metabolic pathways. The results of the mediation analysis further revealed an MP-microbiota-metabolite relationship. Our results indicate that MPs can induce gut dysbiosis and disturb metabolic dysfunction in the mouse brain and/or intestine. Integrative omics approaches have the potential to monitor MP-induced molecular responses in various organs and systematically elucidate the complex mechanisms of human health effects.
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Affiliation(s)
- Sheng-Han Lee
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Wan-Yu Lin
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; Master of Public Health Degree Program, College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Tsun-Jen Cheng
- Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, Taiwan.
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Gao R, Li P, Ni Y, Peng X, Ren J, Chen L. mNFE: microbiome network flow entropy for detecting pre-disease states of type 1 diabetes. Gut Microbes 2024; 16:2327349. [PMID: 38512768 PMCID: PMC10962612 DOI: 10.1080/19490976.2024.2327349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Accepted: 03/04/2024] [Indexed: 03/23/2024] Open
Abstract
In the development of Type 1 diabetes (T1D), there are critical states just before drastic changes, and identifying these pre-disease states may predict T1D or provide crucial early-warning signals. Unlike gene expression data, gut microbiome data can be collected noninvasively from stool samples. Gut microbiome sequencing data contain different levels of phylogenetic information that can be utilized to detect the tipping point or critical state in a reliable manner, thereby providing accurate and effective early-warning signals. However, it is still difficult to detect the critical state of T1D based on gut microbiome data due to generally non-significant differences between healthy and critical states. To address this problem, we proposed a new method - microbiome network flow entropy (mNFE) based on a single sample from each individual - for detecting the critical state before seroconversion and abrupt transitions of T1D at various taxonomic levels. The numerical simulation validated the robustness of mNFE under different noise levels. Furthermore, based on real datasets, mNFE successfully identified the critical states and their dynamic network biomarkers (DNBs) at different taxonomic levels. In addition, we found some high-frequency species, which are closely related to the unique clinical characteristics of autoantibodies at the four levels, and identified some non-differential 'dark species' play important roles during the T1D progression. mNFE can robustly and effectively detect the pre-disease states at various taxonomic levels and identify the corresponding DNBs with only a single sample for each individual. Therefore, our mNFE method provides a new approach not only for T1D pre-disease diagnosis or preventative treatment but also for preventative medicine of other diseases by gut microbiome.
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Affiliation(s)
- Rong Gao
- School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China
- Big Data Institute, Central South university, Changsha, China
| | - Peiluan Li
- School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China
- Longmen Laboratory, Luoyang, Henan, China
| | - Yueqiong Ni
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology, Hans Knöll Institute, Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
| | - Xueqing Peng
- School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China
| | - Jing Ren
- School of Mathematics and Statistics, Henan University of Science and Technology, Luoyang, China
| | - Luonan Chen
- Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, China
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
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Castro A, Catai AM, Rehder-Santos P, Signini ÉF, de Abreu RM, Da Silva CD, Dato CC, Oliveira RV, Ferreira AG. Insights into the Serum Metabolic Adaptations in Response to Inspiratory Muscle Training: A Metabolomic Approach Based on 1H NMR and UHPLC-HRMS/MS. Int J Mol Sci 2023; 24:16764. [PMID: 38069087 PMCID: PMC10706640 DOI: 10.3390/ijms242316764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 11/17/2023] [Accepted: 11/21/2023] [Indexed: 12/18/2023] Open
Abstract
Inspiratory muscle training (IMT) is known to promote physiological benefits and improve physical performance in endurance sports activities. However, the metabolic adaptations promoted by different IMT prescribing strategies remain unclear. In this work, a longitudinal, randomized, double-blind, sham-controlled, parallel trial was performed to investigate the effects of 11 weeks (3 days·week-1) of IMT at different exercise intensities on the serum metabolomics profile and its main regulated metabolic pathways. Twenty-eight healthy male recreational cyclists (30.4 ± 6.5 years) were randomized into three groups: sham (6 cm·H2O of inspiratory pressure, n = 7), moderate-intensity (MI group, 60% maximal inspiratory pressure (MIP), n = 11) and high-intensity (HI group, 85-90% MIP, n = 10). Blood serum samples were collected before and after 11 weeks of IMT and analyzed by 1H NMR and UHPLC-HRMS/MS. Data were analyzed using linear mixed models and metabolite set enrichment analysis. The 1H NMR and UHPLC-HRMS/MS techniques resulted in 46 and 200 compounds, respectively. These results showed that ketone body metabolism, fatty acid biosynthesis, and aminoacyl-tRNA biosynthesis were upregulated after IMT, while alpha linolenic acid and linoleic acid metabolism as well as biosynthesis of unsaturated fatty acids were downregulated. The MI group presented higher MIP, Tryptophan, and Valine levels but decreased 2-Hydroxybutyrate levels when compared to the other two studied groups. These results suggest an increase in the oxidative metabolic processes after IMT at different intensities with additional evidence for the upregulation of essential amino acid metabolism in the MI group accompanied by greater improvement in respiratory muscle strength.
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Affiliation(s)
- Alex Castro
- Department of Chemistry, Universidade Federal de São Carlos (UFSCar), São Carlos 13565-905, Brazil;
- Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13083-100, Brazil
| | - Aparecida M. Catai
- Department of Physiotherapy, Universidade Federal de São Carlos (UFSCar), Sao Carlos 13565-905, Brazil; (A.M.C.); (P.R.-S.); (É.F.S.); (R.M.d.A.); (C.D.D.S.)
| | - Patrícia Rehder-Santos
- Department of Physiotherapy, Universidade Federal de São Carlos (UFSCar), Sao Carlos 13565-905, Brazil; (A.M.C.); (P.R.-S.); (É.F.S.); (R.M.d.A.); (C.D.D.S.)
| | - Étore F. Signini
- Department of Physiotherapy, Universidade Federal de São Carlos (UFSCar), Sao Carlos 13565-905, Brazil; (A.M.C.); (P.R.-S.); (É.F.S.); (R.M.d.A.); (C.D.D.S.)
| | - Raphael Martins de Abreu
- Department of Physiotherapy, Universidade Federal de São Carlos (UFSCar), Sao Carlos 13565-905, Brazil; (A.M.C.); (P.R.-S.); (É.F.S.); (R.M.d.A.); (C.D.D.S.)
| | - Claudio Donisete Da Silva
- Department of Physiotherapy, Universidade Federal de São Carlos (UFSCar), Sao Carlos 13565-905, Brazil; (A.M.C.); (P.R.-S.); (É.F.S.); (R.M.d.A.); (C.D.D.S.)
| | - Carla Cristina Dato
- Nutrition Course, Central Paulista University Center, Sao Carlos 13563-470, Brazil;
| | - Regina V. Oliveira
- Department of Chemistry, Universidade Federal de São Carlos (UFSCar), São Carlos 13565-905, Brazil;
| | - Antônio G. Ferreira
- Department of Chemistry, Universidade Federal de São Carlos (UFSCar), São Carlos 13565-905, Brazil;
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Shastry A, Dunham-Snary K. Metabolomics and mitochondrial dysfunction in cardiometabolic disease. Life Sci 2023; 333:122137. [PMID: 37788764 DOI: 10.1016/j.lfs.2023.122137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/21/2023] [Accepted: 09/29/2023] [Indexed: 10/05/2023]
Abstract
Circulating metabolites are indicators of systemic metabolic dysfunction and can be detected through contemporary techniques in metabolomics. These metabolites are involved in numerous mitochondrial metabolic processes including glycolysis, fatty acid β-oxidation, and amino acid catabolism, and changes in the abundance of these metabolites is implicated in the pathogenesis of cardiometabolic diseases (CMDs). Epigenetic regulation and direct metabolite-protein interactions modulate metabolism, both within cells and in the circulation. Dysfunction of multiple mitochondrial components stemming from mitochondrial DNA mutations are implicated in disease pathogenesis. This review will summarize the current state of knowledge regarding: i) the interactions between metabolites found within the mitochondrial environment during CMDs, ii) various metabolites' effects on cellular and systemic function, iii) how harnessing the power of metabolomic analyses represents the next frontier of precision medicine, and iv) how these concepts integrate to expand the clinical potential for translational cardiometabolic medicine.
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Affiliation(s)
- Abhishek Shastry
- Department of Medicine, Queen's University, Kingston, ON, Canada
| | - Kimberly Dunham-Snary
- Department of Medicine, Queen's University, Kingston, ON, Canada; Department of Biomedical & Molecular Sciences, Queen's University, Kingston, ON, Canada.
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Guo Y, Wei S, Yin M, Cao D, Li Y, Wen C, Zhou J. Gas Chromatography-Mass Spectrometry Reveals Stage-Specific Metabolic Signatures of Ankylosing Spondylitis. Metabolites 2023; 13:1058. [PMID: 37887383 PMCID: PMC10608640 DOI: 10.3390/metabo13101058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/03/2023] [Accepted: 10/04/2023] [Indexed: 10/28/2023] Open
Abstract
Ankylosing spondylitis (AS) is a type of chronic rheumatic immune disease, and the crucial point of AS treatment is identifying the correct stage of the disease. However, there is a lack of effective diagnostic methods for AS staging. The primary objective of this study was to perform an untargeted metabolomic approach in AS patients in an effort to reveal metabolic differences between patients in remission and acute stages. Serum samples from 40 controls and 57 AS patients were analyzed via gas chromatography-mass spectrometry (GC-MS). Twenty-four kinds of differential metabolites were identified between the healthy controls and AS patients, mainly involving valine/leucine/isoleucine biosynthesis and degradation, phenylalanine/tyrosine/tryptophan biosynthesis, glutathione metabolism, etc. Furthermore, the levels of fatty acids (linoleate, dodecanoate, hexadecanoate, and octadecanoate), amino acids (serine and pyroglutamate), 2-hydroxybutanoate, glucose, etc., were lower in patients in the acute stage than those in the remission stage, which may be associated with the aggravated inflammatory response and elevated oxidative stress in the acute stage. Multiple stage-specific metabolites were significantly correlated with inflammatory indicators (CRP and ESR). In addition, the combination of serum 2-hydroxybutanoate and hexadecanoate plays a significant role in the diagnosis of AS stages. These metabolomics-based findings provide new perspectives for AS staging, treatment, and pathogenesis studies.
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Affiliation(s)
- Yixuan Guo
- Institute of Basic Research in Clinical Medicine, College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.G.); (S.W.); (M.Y.); (D.C.); (Y.L.)
| | - Shuangshuang Wei
- Institute of Basic Research in Clinical Medicine, College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.G.); (S.W.); (M.Y.); (D.C.); (Y.L.)
| | - Mengdi Yin
- Institute of Basic Research in Clinical Medicine, College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.G.); (S.W.); (M.Y.); (D.C.); (Y.L.)
| | - Dandan Cao
- Institute of Basic Research in Clinical Medicine, College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.G.); (S.W.); (M.Y.); (D.C.); (Y.L.)
| | - Yiling Li
- Institute of Basic Research in Clinical Medicine, College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.G.); (S.W.); (M.Y.); (D.C.); (Y.L.)
| | - Chengping Wen
- Institute of Basic Research in Clinical Medicine, College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.G.); (S.W.); (M.Y.); (D.C.); (Y.L.)
- Key Laboratory of Chinese Medicine Rheumatology of Zhejiang Province, Zhejiang Chinese Medical University, Hangzhou 310053, China
| | - Jia Zhou
- Institute of Basic Research in Clinical Medicine, College of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.G.); (S.W.); (M.Y.); (D.C.); (Y.L.)
- Key Laboratory of Chinese Medicine Rheumatology of Zhejiang Province, Zhejiang Chinese Medical University, Hangzhou 310053, China
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Salcedo-Arellano MJ, Johnson MD, McLennan YA, Hwang YH, Juarez P, McBride EL, Pantoja AP, Durbin-Johnson B, Tassone F, Hagerman RJ, Martínez-Cerdeño V. Brain Metabolomics in Fragile X-Associated Tremor/Ataxia Syndrome (FXTAS). Cells 2023; 12:2132. [PMID: 37681866 PMCID: PMC10487256 DOI: 10.3390/cells12172132] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2023] [Revised: 08/08/2023] [Accepted: 08/15/2023] [Indexed: 09/09/2023] Open
Abstract
The course of pathophysiological mechanisms involved in fragile X-associated tremor/ataxia syndrome (FXTAS) remains largely unknown. Previous proteomics and metabolomics studies conducted in blood samples collected from FMR1 premutation carriers with FXTAS reported abnormalities in energy metabolism, and precursors of gluconeogenesis showed significant changes in plasma expression levels in FMR1 premutation carriers who developed FXTAS. We conducted an analysis of postmortem human brain tissues from 44 donors, 25 brains with FXTAS, and 19 matched controls. We quantified the metabolite relative abundance in the inferior temporal gyrus and the cerebellum using untargeted mass spectrometry (MS)-based metabolomics. We investigated how the metabolite type and abundance relate to the number of cytosine-guanine-guanine (CGG) repeats, to markers of neurodegeneration, and to the symptoms of FXTAS. A metabolomic analysis identified 191 primary metabolites, the data were log-transformed and normalized prior to the analysis, and the relative abundance was compared between the groups. The changes in the relative abundance of a set of metabolites were region-specific with some overlapping results; 22 metabolites showed alterations in the inferior temporal gyrus, while 21 showed differences in the cerebellum. The relative abundance of cytidine was decreased in the inferior temporal gyrus, and a lower abundance was found in the cases with larger CGG expansions; oleamide was significantly decreased in the cerebellum. The abundance of 11 metabolites was influenced by changes in the CGG repeat number. A histological evaluation found an association between the presence of microhemorrhages in the inferior temporal gyrus and a lower abundance of 2,5-dihydroxypyrazine. Our study identified alterations in the metabolites involved in the oxidative-stress response and bioenergetics in the brains of individuals with FXTAS. Significant changes in the abundance of cytidine and oleamide suggest their potential as biomarkers and therapeutic targets for FXTAS.
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Affiliation(s)
- Maria Jimena Salcedo-Arellano
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis, Sacramento, CA 95616, USA; (M.J.S.-A.); (F.T.); (R.J.H.); (V.M.-C.)
- Institute for Pediatric Regenerative Medicine at Shriners Hospitals for Children Northern California, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
| | - Michael D. Johnson
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
- Institute for Pediatric Regenerative Medicine at Shriners Hospitals for Children Northern California, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
| | - Yingratana A. McLennan
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
- Institute for Pediatric Regenerative Medicine at Shriners Hospitals for Children Northern California, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
| | - Ye Hyun Hwang
- Department of Biochemistry and Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (Y.H.H.); (F.T.)
| | - Pablo Juarez
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
- Institute for Pediatric Regenerative Medicine at Shriners Hospitals for Children Northern California, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
| | - Erin Lucille McBride
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
- Institute for Pediatric Regenerative Medicine at Shriners Hospitals for Children Northern California, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
| | - Adriana P. Pantoja
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
- Institute for Pediatric Regenerative Medicine at Shriners Hospitals for Children Northern California, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
| | - Blythe Durbin-Johnson
- Division of Biostatistics, Department of Public Health Sciences, UC Davis School of Medicine, Sacramento, CA 95817, USA;
| | - Flora Tassone
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis, Sacramento, CA 95616, USA; (M.J.S.-A.); (F.T.); (R.J.H.); (V.M.-C.)
- Department of Biochemistry and Molecular Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (Y.H.H.); (F.T.)
| | - Randi J. Hagerman
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis, Sacramento, CA 95616, USA; (M.J.S.-A.); (F.T.); (R.J.H.); (V.M.-C.)
- Department of Pediatrics, UC Davis School of Medicine, Sacramento, CA 95817, USA;
| | - Verónica Martínez-Cerdeño
- Department of Pathology and Laboratory Medicine, UC Davis School of Medicine, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
- Medical Investigation of Neurodevelopmental Disorders (MIND) Institute, University of California Davis, Sacramento, CA 95616, USA; (M.J.S.-A.); (F.T.); (R.J.H.); (V.M.-C.)
- Institute for Pediatric Regenerative Medicine at Shriners Hospitals for Children Northern California, Sacramento, CA 95817, USA; (M.J.S.-A.); (M.D.J.); (Y.A.M.); (P.J.); (E.L.M.); (A.P.P.); (V.M.-C.)
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10
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Cerf ME. Maternal and Child Health, Non-Communicable Diseases and Metabolites. Metabolites 2023; 13:756. [PMID: 37367913 DOI: 10.3390/metabo13060756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 06/02/2023] [Accepted: 06/10/2023] [Indexed: 06/28/2023] Open
Abstract
Mothers influence the health and disease trajectories of their children, particularly during the critical developmental windows of fetal and neonatal life reflecting the gestational-fetal and lactational-neonatal phases. As children grow and develop, they are exposed to various stimuli and insults, such as metabolites, that shape their physiology and metabolism to impact their health. Non-communicable diseases, such as diabetes, cardiovascular disease, cancer and mental illness, have high global prevalence and are increasing in incidence. Non-communicable diseases often overlap with maternal and child health. The maternal milieu shapes progeny outcomes, and some diseases, such as gestational diabetes and preeclampsia, have gestational origins. Metabolite aberrations occur from diets and physiological changes. Differential metabolite profiles can predict the onset of non-communicable diseases and therefore inform prevention and/or better treatment. In mothers and children, understanding the metabolite influence on health and disease can provide insights for maintaining maternal physiology and sustaining optimal progeny health over the life course. The role and interplay of metabolites on physiological systems and signaling pathways in shaping health and disease present opportunities for biomarker discovery and identifying novel therapeutic agents, particularly in the context of maternal and child health, and non-communicable diseases.
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Affiliation(s)
- Marlon E Cerf
- Grants, Innovation and Product Development, South African Medical Research Council, P.O. Box 19070, Tygerberg, Cape Town 7505, South Africa
- Biomedical Research and Innovation Platform, South African Medical Research Council, P.O. Box 19070, Tygerberg, Cape Town 7505, South Africa
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11
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Tong L, Tian M, Ma X, Bai L, Zhou J, Ding W. Metabolome Profiling and Pathway Analysis in Metabolically Healthy and Unhealthy Obesity among Chinese Adolescents Aged 11-18 Years. Metabolites 2023; 13:metabo13050641. [PMID: 37233682 DOI: 10.3390/metabo13050641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 05/04/2023] [Accepted: 05/05/2023] [Indexed: 05/27/2023] Open
Abstract
The underlying mechanisms of the development of unhealthy metabolic phenotypes in obese children and adolescents remain unclear. We aimed to screen the metabolomes of individuals with the unhealthy obesity phenotype and identify the potential metabolic pathways that could regulate various metabolic profiles of obesity in Chinese adolescents. A total of 127 adolescents aged 11-18 years old from China were investigated using a cross-sectional study. The participants were classified as having metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUO) based on the presence/absence of metabolic abnormalities defined by metabolic syndrome (MetS) and body mass index (BMI). Serum-based metabolomic profiling using gas chromatography-mass spectrometry (GC-MS) was undertaken on 67 MHO and 60 MUO individuals. ROC analyses showed that palmitic acid, stearic acid, and phosphate could predict MUO, and that glycolic acid, alanine, 3-hydroxypropionic acid, and 2-hydroxypentanoic acid could predict MHO (all p < 0.05) from selected samples. Five metabolites predicted MUO, 12 metabolites predicted MHO in boys, and only two metabolites predicted MUO in girls. Moreover, several metabolic pathways may be relevant in distinguishing the MHO and MUO groups, including the fatty acid biosynthesis, fatty acid elongation in mitochondria, propanoate metabolism, glyoxylate and dicarboxylate metabolism, and fatty acid metabolism pathways. Similar results were observed for boys except for phenylalanine, tyrosine and tryptophan biosynthesis, which had a high impact [0.098]. The identified metabolites and pathways could be efficacious for investigating the underlying mechanisms of the development of different metabolic phenotypes in obese Chinese adolescents.
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Affiliation(s)
- Lingling Tong
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Mei Tian
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Xiaoyan Ma
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Ling Bai
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Jinyu Zhou
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
| | - Wenqing Ding
- School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, China
- Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan 750004, China
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12
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Bester R, Stander Z, Mason S, Keane KM, Howatson G, Clifford T, Stevenson EJ, Loots DT. The metabolic recovery of marathon runners: an untargeted 1H-NMR metabolomics perspective. Front Physiol 2023; 14:1117687. [PMID: 37215177 PMCID: PMC10192615 DOI: 10.3389/fphys.2023.1117687] [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: 12/06/2022] [Accepted: 04/20/2023] [Indexed: 05/24/2023] Open
Abstract
Introduction: Extreme endurance events may result in numerous adverse metabolic, immunologic, and physiological perturbations that may diminish athletic performance and adversely affect the overall health status of an athlete, especially in the absence of sufficient recovery. A comprehensive understanding of the post-marathon recovering metabolome, may aid in the identification of new biomarkers associated with marathon-induced stress, recovery, and adaptation, which can facilitate the development of improved training and recovery programs and personalized monitoring of athletic health/recovery/performance. Nevertheless, an untargeted, multi-disciplinary elucidation of the complex underlying biochemical mechanisms involved in recovery after such an endurance event is yet to be demonstrated. Methods: This investigation employed an untargeted proton nuclear magnetic resonance metabolomics approach to characterize the post-marathon recovering metabolome by systematically comparing the pre-, immediately post, 24, and 48 h post-marathon serum metabolite profiles of 15 athletes. Results and Discussion: A total of 26 metabolites were identified to fluctuate significantly among post-marathon and recovery time points and were mainly attributed to the recovery of adenosine triphosphate, redox balance and glycogen stores, amino acid oxidation, changes to gut microbiota, and energy drink consumption during the post-marathon recovery phase. Additionally, metabolites associated with delayed-onset muscle soreness were observed; however, the mechanisms underlying this commonly reported phenomenon remain to be elucidated. Although complete metabolic recovery of the energy-producing pathways and fuel substrate stores was attained within the 48 h recovery period, several metabolites remained perturbed throughout the 48 h recovery period and/or fluctuated again following their initial recovery to pre-marathon-related levels.
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Affiliation(s)
- Rachelle Bester
- Human Metabolomics, Department of Biochemistry, Faculty of Natural and Agricultural Sciences, North-West University, Potchefstroom, South Africa
| | - Zinandré Stander
- Human Metabolomics, Department of Biochemistry, Faculty of Natural and Agricultural Sciences, North-West University, Potchefstroom, South Africa
| | - Shayne Mason
- Human Metabolomics, Department of Biochemistry, Faculty of Natural and Agricultural Sciences, North-West University, Potchefstroom, South Africa
| | - Karen M. Keane
- Department of Sport Exercise and Nutrition, School of Science and Computing, Atlantic Technological University, Galway, Ireland
| | - Glyn Howatson
- Department of Sport, Exercise and Rehabilitation, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom
- Water Research Group, School of Environmental Sciences and Development, North-West University, Potchefstroom, South Africa
| | - Tom Clifford
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Emma J. Stevenson
- Human and Exercise Nutrition Research Centre, School of Biomedical, Nutritional and Sport Sciences, Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Du Toit Loots
- Human Metabolomics, Department of Biochemistry, Faculty of Natural and Agricultural Sciences, North-West University, Potchefstroom, South Africa
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13
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Xia JG, Li B, Zhang H, Li QX, Lam SM, Yin CL, Tian H, Shui G. Precise Metabolomics Defines Systemic Metabolic Dysregulation Distinct to Acute Myocardial Infarction Associated With Diabetes. Arterioscler Thromb Vasc Biol 2023; 43:581-596. [PMID: 36727520 DOI: 10.1161/atvbaha.122.318871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND Acute myocardial infarction (AMI) is a leading cause of death and disability. Diabetes is an important risk factor and a common comorbidity in AMI patients. The higher mortality risk of diabetes-AMI relative to nondiabetes-AMI indicates a need for specific treatment to improve clinical outcome. However, the global metabolic dysregulation of AMI complicated with diabetes is still unclear. We aim to systematically interrogate changes in the metabolic microenvironment immediate to AMI episodes in the absence or presence of diabetes. METHODS In this work, quantitative metabolomics was used to investigate plasma metabolic differences between diabetes-AMI (n=59) and nondiabetes-AMI (n=59) patients. A diverse array of perturbed metabolic pathways involving carbohydrate metabolism, lipid metabolism, glycolysis, tricarboxylic acid cycle, and amino acid metabolism emerged. RESULTS In all, our omics-oriented approach defined a metabolic signature of afflicted mitochondrial function aggravated by concurrent diabetes in AMI patients. In particular, our analyses uncovered N-lactoyl-phenylalanine and lysophosphatidylcholines as key functional metabolites that skewed the metabolic picture of diabetes-AMI relative to nondiabetes-AMI. N-lactoyl-phenylalanine was strongly associated with metabolic indicators reflective of mitochondrial overload and negatively correlated with HbA1c (glycosylated hemoglobin, type A1C) specifically in hyperglycemic AMI, suggestive of its central role in glucose utilization and mitochondrial energy production instrumental to the clinical outcome of diabetes-AMI. Reductions in lysophosphatidylcholines, which were negatively correlated with blood glucose and inflammatory markers, might further compromise glucose expenditure and aggravate inflammation leading to poorer prognosis in diabetes-AMI. CONCLUSIONS As circulating metabolite levels are amenable to therapeutic intervention, such shifts in metabolic signatures provide new clues and potential therapeutic targets specific to the treatment of diabetes-AMI.
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Affiliation(s)
- Jing-Gang Xia
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, National Clinical Research Centre for Geriatric Diseases, Beijing, China (J.-g.X., H.Z., C.-l.Y.)
| | - Bowen Li
- LipidALL Technologies Company Limited, Changzhou, Jiangsu Province, China (B.L., S.M.L.)
| | - Hao Zhang
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, National Clinical Research Centre for Geriatric Diseases, Beijing, China (J.-g.X., H.Z., C.-l.Y.)
| | - Qin-Xue Li
- Department of Cardiology, Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China (Q.-x.L.)
| | - Sin Man Lam
- LipidALL Technologies Company Limited, Changzhou, Jiangsu Province, China (B.L., S.M.L.)
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China (S.M.L., H.T., G.S.)
| | - Chun-Lin Yin
- Department of Cardiology, Xuanwu Hospital, Capital Medical University, National Clinical Research Centre for Geriatric Diseases, Beijing, China (J.-g.X., H.Z., C.-l.Y.)
| | - He Tian
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China (S.M.L., H.T., G.S.)
| | - Guanghou Shui
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China (S.M.L., H.T., G.S.)
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14
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2 Hydroxybutyric Acid-Producing Bacteria in Gut Microbiome and Fusobacterium nucleatum Regulates 2 Hydroxybutyric Acid Level In Vivo. Metabolites 2023; 13:metabo13030451. [PMID: 36984891 PMCID: PMC10059959 DOI: 10.3390/metabo13030451] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Revised: 03/03/2023] [Accepted: 03/16/2023] [Indexed: 03/22/2023] Open
Abstract
2-hydroxybutyric acid (2HB) serves as an important regulatory factor in a variety of diseases. The circulating level of 2HB in serum is significantly higher in multiple diseases, such as cancer and type 2 diabetes (T2D). However, there is currently no systematic study on 2HB-producing bacteria that demonstrates whether gut bacteria contribute to the circulating 2HB pool. To address this question, we used BLASTP to reveal the taxonomic profiling of 2HB-producing bacteria in the human microbiome, which are mainly distributed in the phylum Proteobacteria and Firmicutes. In vitro experiments showed that most gut bacteria (21/32) have at least one path to produce 2HB, which includes Aspartic acid, methionine, threonine, and 2-aminobutyric acid. Particularly, Fusobacterium nucleatum has the strongest ability to synthesize 2HB, which is sufficient to alter colon 2HB concentration in mice. Nevertheless, neither antibiotic (ABX) nor Fusobacterium nucleatum gavage significantly affected mouse serum 2HB levels during the time course of this study. Taken together, our study presents the profiles of 2HB-producing bacteria and demonstrates that gut microbiota was a major contributor to 2HB concentration in the intestinal lumen but a relatively minor contributor to serum 2HB concentration.
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15
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Kim JK, Hong S, Park J, Kim S. Metabolic and Transcriptomic Changes in the Mouse Brain in Response to Short-Term High-Fat Metabolic Stress. Metabolites 2023; 13:metabo13030407. [PMID: 36984847 PMCID: PMC10051449 DOI: 10.3390/metabo13030407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 03/07/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
The chronic consumption of diets rich in saturated fats leads to obesity and associated metabolic disorders including diabetes and atherosclerosis. Intake of a high-fat diet (HFD) is also recognized to dysregulate neural functions such as cognition, mood, and behavior. However, the effects of short-term high-fat diets on the brain are elusive. Here, we investigated molecular changes in the mouse brain following an acute HFD for 10 days by employing RNA sequencing and metabolomics profiling. Aberrant expressions of 92 genes were detected in the brain tissues of acute HFD-exposed mice. The differentially expressed genes were enriched for various pathways and processes such as superoxide metabolism. In our global metabolomic profiling, a total of 59 metabolites were significantly altered by the acute HFD. Metabolic pathways upregulated from HFD-exposed brain tissues relative to control samples included oxidative stress, oxidized polyunsaturated fatty acids, amino acid metabolism (e.g., branched-chain amino acid catabolism, and lysine metabolism), and the gut microbiome. Acute HFD also elevated levels of N-acetylated amino acids, urea cycle metabolites, and uracil metabolites, further suggesting complex changes in nitrogen metabolism. The observed molecular events in the present study provide a valuable resource that can help us better understand how acute HFD stress impacts brain homeostasis.
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Affiliation(s)
- Ji-Kwang Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Sehoon Hong
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Jina Park
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
| | - Seyun Kim
- Department of Biological Sciences, Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, Republic of Korea
- KAIST Institute for the BioCentury, KAIST, Daejeon 34141, Republic of Korea
- KAIST Stem Cell Center, KAIST, Daejeon 34141, Republic of Korea
- Correspondence:
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16
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Tripolt NJ, Hofer SJ, Pferschy PN, Aziz F, Durand S, Aprahamian F, Nirmalathasan N, Waltenstorfer M, Eisenberg T, Obermayer AMA, Riedl R, Kojzar H, Moser O, Sourij C, Bugger H, Oulhaj A, Pieber TR, Zanker M, Kroemer G, Madeo F, Sourij H. Glucose Metabolism and Metabolomic Changes in Response to Prolonged Fasting in Individuals with Obesity, Type 2 Diabetes and Non-Obese People-A Cohort Trial. Nutrients 2023; 15:511. [PMID: 36771218 PMCID: PMC9921960 DOI: 10.3390/nu15030511] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/09/2023] [Accepted: 01/11/2023] [Indexed: 01/21/2023] Open
Abstract
Metabolic regulation of glucose can be altered by fasting periods. We examined glucose metabolism and metabolomics profiles after 12 h and 36 h fasting in non-obese and obese participants and people with type 2 diabetes using oral glucose tolerance (OGTT) and intravenous glucose tolerance testing (IVGTT). Insulin sensitivity was estimated by established indices and mass spectrometric metabolomics was performed on fasting serum samples. Participants had a mean age of 43 ± 16 years (62% women). Fasting levels of glucose, insulin and C-peptide were significantly lower in all cohorts after 36 h compared to 12 h fasting (p < 0.05). In non-obese participants, glucose levels were significantly higher after 36 h compared to 12 h fasting at 120 min of OGTT (109 ± 31 mg/dL vs. 79 ± 18 mg/dL; p = 0.001) but insulin levels were lower after 36 h of fasting at 30 min of OGTT (41.2 ± 34.1 mU/L after 36 h vs. 56.1 ± 29.7 mU/L; p < 0.05). In contrast, no significant differences were observed in obese participants or people with diabetes. Insulin sensitivity improved in all cohorts after 36 h fasting. In line, metabolomics revealed subtle baseline differences and an attenuated metabolic response to fasting in obese participants and people with diabetes. Our data demonstrate an improved insulin sensitivity after 36 h of fasting with higher glucose variations and reduced early insulin response in non-obese people only.
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Affiliation(s)
- Norbert J. Tripolt
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Sebastian J. Hofer
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
- BioTechMed Graz, 8010 Graz, Austria
- Field of Excellence BioHealth, University of Graz, 8010 Graz, Austria
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Peter N. Pferschy
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
- Center for Biomarker Research in Medicine (CBmed), 8010 Graz, Austria
| | - Faisal Aziz
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Sylvère Durand
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Fanny Aprahamian
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Nitharsshini Nirmalathasan
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
| | - Mara Waltenstorfer
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
| | - Tobias Eisenberg
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
- BioTechMed Graz, 8010 Graz, Austria
- Field of Excellence BioHealth, University of Graz, 8010 Graz, Austria
| | - Anna M. A. Obermayer
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Regina Riedl
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, 8010 Graz, Austria
| | - Harald Kojzar
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
- Center for Biomarker Research in Medicine (CBmed), 8010 Graz, Austria
| | - Othmar Moser
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
- Department of Sport Science, Division of Exercise Physiology and Metabolism, University of Bayreuth, 95440 Bayreuth, Germany
| | - Caren Sourij
- Division of Cardiology, Medical University of Graz, 8010 Graz, Austria
| | - Heiko Bugger
- Division of Cardiology, Medical University of Graz, 8010 Graz, Austria
| | - Abderrahim Oulhaj
- Department of Epidemiology and Population Health, College of Medicine and Health Sciences, Khalifa University Abu Dhabi, Al-Ain P.O. Box 17666, United Arab Emirates
| | - Thomas R. Pieber
- BioTechMed Graz, 8010 Graz, Austria
- Center for Biomarker Research in Medicine (CBmed), 8010 Graz, Austria
- Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Matthias Zanker
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
| | - Guido Kroemer
- Inserm U1138, Equipe Labellisée par la Ligue Contre le Cancer, Centre de Recherche des Cordeliers, Institut Universitaire de France, Sorbonne Université, Université de Paris, 75006 Paris, France
- Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 94805 Villejuif, France
- Department of Biology, Institut du Cancer Paris CARPEM, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France
| | - Frank Madeo
- Institute of Molecular Biosciences, NAWI Graz, University of Graz, Humboldtstraße 50, 8010 Graz, Austria
- BioTechMed Graz, 8010 Graz, Austria
- Field of Excellence BioHealth, University of Graz, 8010 Graz, Austria
| | - Harald Sourij
- Interdisciplinary Metabolic Medicine Trials Unit, Division of Endocrinology and Diabetology, Medical University of Graz, 8010 Graz, Austria
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17
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Wang F, Xu L, Qi M, Lai H, Zeng F, Liang F, Wen Q, Ma X, Zhang C, Xie K. Metabolomic analysis-identified 2-hydroxybutyric acid might be a key metabolite of severe preeclampsia. Open Life Sci 2023; 18:20220572. [PMID: 36874628 PMCID: PMC9975955 DOI: 10.1515/biol-2022-0572] [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: 09/23/2022] [Revised: 12/16/2022] [Accepted: 01/14/2023] [Indexed: 03/04/2023] Open
Abstract
This study set out to determine the key metabolite changes underlying the pathophysiology of severe preeclampsia (PE) using metabolic analysis. We collected sera from 10 patients with severe PE and from 10 healthy pregnant women of the same trimester and analyzed them using liquid chromatography mass spectrometry. A total of 3,138 differential metabolites were screened, resulting in the identification of 124 differential metabolites. Kyoto encyclopedia of genes and genomes pathway analysis revealed that they were mainly enriched in the following metabolic pathways: central carbon metabolism in cancer; protein digestion and absorption; aminoacyl-transfer RNA biosynthesis; mineral absorption; alanine, aspartate, and glutamate metabolism; and prostate cancer. After analysis of 124 differential metabolites, 2-hydroxybutyric acid was found to be the most critical differential metabolite, and its use allowed the differentiation of women with severe PE from healthy pregnant women. In summary, our analysis revealed that 2-hydroxybutyric acid is a potential key metabolite for distinguishing severe PE from healthy controls and is also a marker for the early diagnosis of severe PE, thus allowing early intervention.
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Affiliation(s)
- Fang Wang
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Lili Xu
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Mingming Qi
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Huimin Lai
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Fanhua Zeng
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Furong Liang
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Qing Wen
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Xihua Ma
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Chan Zhang
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
| | - Kaili Xie
- Department of Obstetrics, Zhuzhou Central Hospital, Zhuzhou, 412007, China
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18
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Profile of gut microbiota and serum metabolites associated with metabolic syndrome in a remote island most afflicted by obesity in Japan. Sci Rep 2022; 12:17292. [PMID: 36241691 PMCID: PMC9568508 DOI: 10.1038/s41598-022-21708-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 09/30/2022] [Indexed: 01/10/2023] Open
Abstract
Numerous studies have revealed distinct differences in the profiles of gut microbiota between non-obese and obese individuals. To date, however, little is known if any disparities in the community of gut microbiota exist between metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO) subjects. We therefore aimed to comprehensively characterize the gut microbiota and circulating metabolites in serum from both MHO and MUO residing in the remote island, Kumejima, where the prevalence of obesity is one of the highest in Japan, and explored possible correlations between the gut microbiota profile and markers of metabolic syndrome. Results revealed that MUO showed significantly higher levels of genera such as g_Succinivibrio, g_Granulicatella, g_Brachyspira, g_Oribacterium and g_Atopobium in comparison to MHO. Moreover, abundance of g_Succinivibrio, g_Brachyspira and g_Atopobium were positively correlated with value of fasting insulin, HOMA-R, circulating triglycerides, diastolic blood pressure, BMI, body weight, waist circumference and HbA1c. In addition, MUO compared to MHO showed an imbalance of serum metabolites, with a significant elevation in 2-oxoisovaleric acid, pyruvic acid, 2-hydroxybutyric acid, and creatine. Our data highlight unmet needs in precision approaches for the treatment of obesity, targeting the gut microbiota profile and serum metabolites in a distinct population affected by obesity.
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Mojsak P, Maliszewska K, Klimaszewska P, Miniewska K, Godzien J, Sieminska J, Kretowski A, Ciborowski M. Optimization of a GC-MS method for the profiling of microbiota-dependent metabolites in blood samples: An application to type 2 diabetes and prediabetes. Front Mol Biosci 2022; 9:982672. [PMID: 36213115 PMCID: PMC9538375 DOI: 10.3389/fmolb.2022.982672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/05/2022] [Indexed: 11/13/2022] Open
Abstract
Changes in serum or plasma metabolome may reflect gut microbiota dysbiosis, which is also known to occur in patients with prediabetes and type 2 diabetes (T2DM). Thus, developing a robust method for the analysis of microbiota-dependent metabolites (MDMs) is an important issue. Gas chromatography with mass spectrometry (GC–MS) is a powerful approach enabling detection of a wide range of MDMs in biofluid samples with good repeatability and reproducibility, but requires selection of a suitable solvents and conditions. For this reason, we conducted for the first time the study in which, we demonstrated an optimisation of samples preparation steps for the measurement of 75 MDMs in two matrices. Different solvents or mixtures of solvents for MDMs extraction, various concentrations and volumes of derivatizing reagents as well as temperature programs at methoxymation and silylation step, were tested. The stability, repeatability and reproducibility of the 75 MDMs measurement were assessed by determining the relative standard deviation (RSD). Finally, we used the developed method to analyse serum samples from 18 prediabetic (PreDiab group) and 24 T2DM patients (T2DM group) from our 1000PLUS cohort. The study groups were homogeneous and did not differ in age and body mass index. To select statistically significant metabolites, T2DM vs. PreDiab comparison was performed using multivariate statistics. Our experiment revealed changes in 18 MDMs belonging to different classes of compounds, and seven of them, based on the SVM classification model, were selected as a panel of potential biomarkers, able to distinguish between patients with T2DM and prediabetes.
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Affiliation(s)
- Patrycja Mojsak
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Katarzyna Maliszewska
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | | | - Katarzyna Miniewska
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Joanna Godzien
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Julia Sieminska
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
| | - Adam Kretowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Bialystok, Bialystok, Poland
| | - Michal Ciborowski
- Clinical Research Centre, Medical University of Bialystok, Bialystok, Poland
- *Correspondence: Michal Ciborowski,
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Coenzyme A Restriction as a Factor Underlying Pre-Eclampsia with Polycystic Ovary Syndrome as a Risk Factor. Int J Mol Sci 2022; 23:ijms23052785. [PMID: 35269927 PMCID: PMC8911031 DOI: 10.3390/ijms23052785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 02/24/2022] [Indexed: 02/07/2023] Open
Abstract
Pre-eclampsia is the most common pregnancy complication affecting 1 in 20 pregnancies, characterized by high blood pressure and signs of organ damage, most often to the liver and kidneys. Metabolic network analysis of published lipidomic data points to a shortage of Coenzyme A (CoA). Gene expression profile data reveal alterations to many areas of metabolism and, crucially, to conflicting cellular regulatory mechanisms arising from the overproduction of signalling lipids driven by CoA limitation. Adverse feedback loops appear, forming sphingosine-1-phosphate (a cause of hypertension, hypoxia and inflammation), cytotoxic isoketovaleric acid (inducing acidosis and organ damage) and a thrombogenic lysophosphatidyl serine. These also induce mitochondrial and oxidative stress, leading to untimely apoptosis, which is possibly the cause of CoA restriction. This work provides a molecular basis for the signs of pre-eclampsia, why polycystic ovary syndrome is a risk factor and what might be done to treat and reduce the risk of disease.
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