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Zniber M, Lamminen T, Taimen P, Boström PJ, Huynh TP. 1H-NMR-based urine metabolomics of prostate cancer and benign prostatic hyperplasia. Heliyon 2024; 10:e28949. [PMID: 38617934 PMCID: PMC11015411 DOI: 10.1016/j.heliyon.2024.e28949] [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: 12/30/2023] [Revised: 03/27/2024] [Accepted: 03/27/2024] [Indexed: 04/16/2024] Open
Abstract
Background Prostate cancer (PCa) and benign prostatic hyperplasia (BPH) are prevalent conditions affecting a significant portion of the male population, particularly with advancing age. Traditional diagnostic methods, such as digital rectal examination (DRE) and prostate-specific antigen (PSA) tests, have limitations in specificity and sensitivity, leading to potential overdiagnosis and unnecessary biopsies. Significance This study explores the effectiveness of 1H NMR urine metabolomics in distinguishing PCa from BPH and in differentiating various PCa grades, presenting a non-invasive diagnostic alternative with the potential to enhance early detection and patient-specific treatment strategies. Results The study demonstrated the capability of 1H NMR urine metabolomics in detecting distinct metabolic profiles between PCa and BPH, as well as among different Gleason grade groups. Notably, this method surpassed the PSA test in distinguishing PCa from BPH. Untargeted metabolomics analysis also revealed several metabolites with varying relative concentrations between PCa and BPH cases, suggesting potential biomarkers for these conditions.
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Affiliation(s)
- Mohammed Zniber
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, Turku, Finland
| | - Tarja Lamminen
- Department of Urology, University of Turku and Turku University Hospital, Turku, Finland
| | - Pekka Taimen
- Institute of Biomedicine and FICAN West Cancer Centre, University of Turku and Department of Pathology, Turku University Hospital, Turku, Finland
| | - Peter J. Boström
- Department of Urology, University of Turku and Turku University Hospital, Turku, Finland
| | - Tan-Phat Huynh
- Laboratory of Molecular Science and Engineering, Åbo Akademi University, Turku, Finland
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2
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Madrid-Gambin F, Fabregat-Safont D, Gomez-Gomez A, Olesti E, Mason NL, Ramaekers JG, Pozo OJ. Present and future of metabolic and metabolomics studies focused on classical psychedelics in humans. Biomed Pharmacother 2023; 169:115775. [PMID: 37944438 DOI: 10.1016/j.biopha.2023.115775] [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: 08/07/2023] [Revised: 10/16/2023] [Accepted: 10/20/2023] [Indexed: 11/12/2023] Open
Abstract
Psychedelics are classical hallucinogen drugs that induce a marked altered state of consciousness. In recent years, there has been renewed attention to the possible use of classical psychedelics for the treatment of certain mental health disorders. However, further investigation to better understand their biological effects in humans, their mechanism of action, and their metabolism in humans is needed when considering the development of future novel therapeutic approaches. Both metabolic and metabolomics studies may help for these purposes. On one hand, metabolic studies aim to determine the main metabolites of the drug. On the other hand, the application of metabolomics in human psychedelics studies can help to further understand the biological processes underlying the psychedelic state and the mechanisms of action underlying their therapeutic potential. This review presents the state of the art of metabolic and metabolomic studies after lysergic acid diethylamide (LSD), mescaline, N,N-dimethyltryptamine (DMT) and β-carboline alkaloids (ayahuasca brew), 5-methoxy-DMT and psilocybin administrations in humans. We first describe the characteristics of the published research. Afterward, we reviewed the main results obtained by both metabolic and metabolomics (if available) studies in classical psychedelics and we found out that metabolic and metabolomics studies in psychedelics progress at two different speeds. Thus, whereas the main metabolites for classical psychedelics have been robustly established, the main metabolic alterations induced by psychedelics need to be explored. The integration of metabolomics and pharmacokinetics for investigating the molecular interaction between psychedelics and multiple targets may open new avenues in understanding the therapeutic role of psychedelics.
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Affiliation(s)
- Francisco Madrid-Gambin
- Applied Metabolomics Research Group, Hospital del Mar Research Institute, 08003 Barcelona, Spain.
| | - David Fabregat-Safont
- Applied Metabolomics Research Group, Hospital del Mar Research Institute, 08003 Barcelona, Spain; Environmental and Public Health Analytical Chemistry, Research Institute for Pesticides and Water, University Jaume I, 12071 Castelló, Spain
| | - Alex Gomez-Gomez
- Applied Metabolomics Research Group, Hospital del Mar Research Institute, 08003 Barcelona, Spain; CERBA Internacional, Chromatography Department, 08203 Sabadell, Spain
| | - Eulàlia Olesti
- Department of Clinical Pharmacology, Area Medicament, Hospital Clinic of Barcelona, 08036 Barcelona, Spain; Clinical Pharmacology, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), 08036 Barcelona, Spain
| | - Natasha L Mason
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, 6200 MD Maastricht, the Netherlands
| | - Johannes G Ramaekers
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, 6200 MD Maastricht, the Netherlands
| | - Oscar J Pozo
- Applied Metabolomics Research Group, Hospital del Mar Research Institute, 08003 Barcelona, Spain.
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Ghini V, Meoni G, Vignoli A, Di Cesare F, Tenori L, Turano P, Luchinat C. Fingerprinting and profiling in metabolomics of biosamples. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2023; 138-139:105-135. [PMID: 38065666 DOI: 10.1016/j.pnmrs.2023.10.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/13/2023] [Accepted: 10/15/2023] [Indexed: 12/18/2023]
Abstract
This review focuses on metabolomics from an NMR point of view. It attempts to cover the broad scope of metabolomics and describes the NMR experiments that are most suitable for each sample type. It is addressed not only to NMR specialists, but to all researchers who wish to approach metabolomics with a clear idea of what they wish to achieve but not necessarily with a deep knowledge of NMR. For this reason, some technical parts may seem a bit naïve to the experts. The review starts by describing standard metabolomics procedures, which imply the use of a dedicated 600 MHz instrument and of four properly standardized 1D experiments. Standardization is a must if one wants to directly compare NMR results obtained in different labs. A brief mention is also made of standardized pre-analytical procedures, which are even more essential. Attention is paid to the distinction between fingerprinting and profiling, and the advantages and disadvantages of fingerprinting are clarified. This aspect is often not fully appreciated. Then profiling, and the associated problems of signal assignment and quantitation, are discussed. We also describe less conventional approaches, such as the use of different magnetic fields, the use of signal enhancement techniques to increase sensitivity, and the potential of field-shuttling NMR. A few examples of biomedical applications are also given, again with the focus on NMR techniques that are most suitable to achieve each particular goal, including a description of the most common heteronuclear experiments. Finally, the growing applications of metabolomics to foodstuffs are described.
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Affiliation(s)
- Veronica Ghini
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Gaia Meoni
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Alessia Vignoli
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Francesca Di Cesare
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy; Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy
| | - Paola Turano
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy; Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy.
| | - Claudio Luchinat
- Consorzio Interuniversitario Risonanze Magnetiche Metallo Proteine (CIRMMP), Sesto Fiorentino, Italy; Giotto Biotech S.r.l., Sesto Fiorentino, Italy.
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4
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Cheredath A, Uppangala S, Jijo A, Lakshmi RV, Gowda GAN, Kalthur G, Adiga SK. Use of sensitivity-enhanced nuclear magnetic resonance spectroscopy equipped with a 1.7-mm cryogenically cooled micro-coil probe in identifying human sperm intracellular metabolites. Reprod Fertil Dev 2023; 35:661-668. [PMID: 37643634 DOI: 10.1071/rd22246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 08/14/2023] [Indexed: 08/31/2023] Open
Abstract
CONTEXT The clinical value of human sperm metabolites has not been established due to the technical complexity in detecting these metabolites when sperm numbers are low. AIMS To detect endogenous intracellular metabolites in fresh and post-thaw human spermatozoa using 800MHz nuclear magnetic resonance (NMR) spectroscopy equipped with a 1.7-mm cryo-probe. METHODS Processed spermatozoa from 25 normozoospermic ejaculates were subjected to extraction of intracellular metabolites and then profiled by sensitivity-enhanced NMR spectroscopy equipped with a 1.7-mm cryogenically cooled micro-coil probe. In parallel, some of the processed sperm fractions were subjected to freeze-thawing and were then analysed for intracellular metabolites. KEY RESULTS Twenty-three metabolites were profiled from only 1.25million sperm cells. Comparison of the metabolomic signature of pre-freeze and post-thaw sperm cells did not show significant changes in the levels of metabolites. CONCLUSIONS Sensitivity-enhanced NMR spectroscopy equipped with a 1.7-mm cryogenically cooled micro-coil probe is a potential tool for identifying intracellular metabolites when sperm number is low. IMPLICATIONS Use of sensitivity-enhanced NMR spectroscopy opens up the opportunity to test for endogenous metabolites in samples with a limited number of spermatozoa, to understand the patho-physiology of infertility.
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Affiliation(s)
- Aswathi Cheredath
- Centre of Excellence in Clinical Embryology, Department of Reproductive Science, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576 104, India
| | - Shubhashree Uppangala
- Division of Reproductive Genetics, Department of Reproductive Science, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576 104, India
| | - Ameya Jijo
- Centre of Excellence in Clinical Embryology, Department of Reproductive Science, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576 104, India
| | - R Vani Lakshmi
- Department of Data Science, Prasanna School of Public Health, Manipal Academy of Higher Education, Manipal 576 104, India
| | - G A Nagana Gowda
- Northwest Metabolomics Research Centre, Anaesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA
| | - Guruprasad Kalthur
- Division of Reproductive Biology, Department of Reproductive Science, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576 104, India
| | - Satish Kumar Adiga
- Centre of Excellence in Clinical Embryology, Department of Reproductive Science, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal 576 104, India
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Zhang J, Sun M, Elmaidomy AH, Youssif KA, Zaki AMM, Hassan Kamal H, Sayed AM, Abdelmohsen UR. Emerging trends and applications of metabolomics in food science and nutrition. Food Funct 2023; 14:9050-9082. [PMID: 37740352 DOI: 10.1039/d3fo01770b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
The study of all chemical processes involving metabolites is known as metabolomics. It has been developed into an essential tool in several disciplines, such as the study of plant physiology, drug development, human diseases, and nutrition. The field of food science, diagnostic biomarker research, etiological analysis in the field of medical therapy, and raw material quality, processing, and safety have all benefited from the use of metabolomics recently. Food metabolomics includes the use of metabolomics in food production, processing, and human diets. As a result of changing consumer habits and the rising of food industries all over the world, there is a remarkable increase in interest in food quality and safety. It requires the employment of various technologies for the food supply chain, processing of food, and even plant breeding. This can be achieved by understanding the metabolome of food, including its biochemistry and composition. Additionally, Food metabolomics can be used to determine the similarities and differences across crop kinds, as an indicator for tracking the process of ripening to increase crops' shelf life and attractiveness, and identifying metabolites linked to pathways responsible for postharvest disorders. Moreover, nutritional metabolomics is used to investigate the connection between diet and human health through detection of certain biomarkers. This review assessed and compiled literature on food metabolomics research with an emphasis on metabolite extraction, detection, and data processing as well as its applications to the study of food nutrition, food-based illness, and phytochemical analysis. Several studies have been published on the applications of metabolomics in food but further research concerning the use of standard reproducible procedures must be done. The results published showed promising uses in the food industry in many areas such as food production, processing, and human diets. Finally, metabolome-wide association studies (MWASs) could also be a useful predictor to detect the connection between certain diseases and low molecular weight biomarkers.
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Affiliation(s)
- Jianye Zhang
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China
| | - Mingna Sun
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China
| | - Abeer H Elmaidomy
- Department of Pharmacognosy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef 62511, Egypt
| | - Khayrya A Youssif
- Department of Pharmacognosy, Faculty of Pharmacy, El-Saleheya El Gadida University, Cairo, Egypt
| | - Adham M M Zaki
- Faculty of Pharmacy, Minia University, Minia 61519, Egypt
| | - Hossam Hassan Kamal
- Faculty of Pharmacy, Deraya University, 7 Universities Zone, New Minia 61111, Egypt
| | - Ahmed M Sayed
- Department of Pharmacognosy, Faculty of Pharmacy, Nahda University, 62513 Beni-Suef, Egypt.
- Department of Pharmacognosy, Faculty of Pharmacy, Almaaqal University, 61014 Basra, Iraq
| | - Usama Ramadan Abdelmohsen
- Department of Pharmacognosy, Faculty of Pharmacy, Minia University, Minia 61519, Egypt.
- Department of Pharmacognosy, Faculty of Pharmacy, Deraya University, 7 Universities Zone, New Minia 61111, Egypt
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Abdelrahman S, Ge R, Susapto HH, Liu Y, Samkari F, Moretti M, Liu X, Hoehndorf R, Emwas AH, Jaremko M, Rawas RH, Hauser CAE. The Impact of Mechanical Cues on the Metabolomic and Transcriptomic Profiles of Human Dermal Fibroblasts Cultured in Ultrashort Self-Assembling Peptide 3D Scaffolds. ACS NANO 2023; 17:14508-14531. [PMID: 37477873 DOI: 10.1021/acsnano.3c01176] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
Cells' interactions with their microenvironment influence their morphological features and regulate crucial cellular functions including proliferation, differentiation, metabolism, and gene expression. Most biological data available are based on in vitro two-dimensional (2D) cellular models, which fail to recapitulate the three-dimensional (3D) in vivo systems. This can be attributed to the lack of cell-matrix interaction and the limitless access to nutrients and oxygen, in contrast to in vivo systems. Despite the emergence of a plethora of 3D matrices to address this challenge, there are few reports offering a proper characterization of these matrices or studying how the cell-matrix interaction influences cellular metabolism in correlation with gene expression. In this study, two tetrameric ultrashort self-assembling peptide sequences, FFIK and FIIK, were used to create in vitro 3D models using well-described human dermal fibroblast cells. The peptide sequences are derived from naturally occurring amino acids that are capable of self-assembling into stable hydrogels without UV or chemical cross-linking. Our results showed that 2D cultured fibroblasts exhibited distinct metabolic and transcriptomic profiles compared to 3D cultured cells. The observed changes in the metabolomic and transcriptomic profiles were closely interconnected and influenced several important metabolic pathways including the TCA cycle, glycolysis, MAPK signaling cascades, and hemostasis. Data provided here may lead to clearer insights into the influence of the surrounding microenvironment on human dermal fibroblast metabolic patterns and molecular mechanisms, underscoring the importance of utilizing efficient 3D in vitro models to study such complex mechanisms.
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Affiliation(s)
- Sherin Abdelrahman
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- KAUST Smart Health Initiative (KSHI), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia
| | - Rui Ge
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Hepi H Susapto
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Yang Liu
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Faris Samkari
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Manola Moretti
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- KAUST Smart Health Initiative (KSHI), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia
| | - Xinzhi Liu
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Robert Hoehndorf
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia
| | - Abdul-Hamid Emwas
- Core Laboratories, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Mariusz Jaremko
- Smart-Health Initiative (SHI) and Red Sea Research Center (RSRC), Division of Biological and Environmental Sciences and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia
| | - Ranim H Rawas
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
| | - Charlotte A E Hauser
- Laboratory for Nanomedicine, Division of Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- KAUST Smart Health Initiative (KSHI), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia
- Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia
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Jędrusiak A, Fortuna W, Majewska J, Górski A, Jończyk-Matysiak E. Phage Interactions with the Nervous System in Health and Disease. Cells 2023; 12:1720. [PMID: 37443756 PMCID: PMC10341288 DOI: 10.3390/cells12131720] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 06/20/2023] [Accepted: 06/23/2023] [Indexed: 07/15/2023] Open
Abstract
The central nervous system manages all of our activities (e.g., direct thinking and decision-making processes). It receives information from the environment and responds to environmental stimuli. Bacterial viruses (bacteriophages, phages) are the most numerous structures occurring in the biosphere and are also found in the human organism. Therefore, understanding how phages may influence this system is of great importance and is the purpose of this review. We have focused on the effect of natural bacteriophages in the central nervous system, linking them to those present in the gut microbiota, creating the gut-brain axis network, as well as their interdependence. Importantly, based on the current knowledge in the field of phage application (e.g., intranasal) in the treatment of bacterial diseases associated with the brain and nervous system, bacteriophages may have significant therapeutic potential. Moreover, it was indicated that bacteriophages may influence cognitive processing. In addition, phages (via phage display technology) appear promising as a targeted therapeutic tool in the treatment of, among other things, brain cancers. The information collected and reviewed in this work indicates that phages and their impact on the nervous system is a fascinating and, so far, underexplored field. Therefore, the aim of this review is not only to summarize currently available information on the association of phages with the nervous system, but also to stimulate future studies that could pave the way for novel therapeutic approaches potentially useful in treating bacterial and non-bacterial neural diseases.
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Affiliation(s)
- Adam Jędrusiak
- Bacteriophage Laboratory, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland; (A.J.); (J.M.); (A.G.)
| | - Wojciech Fortuna
- Department of Neurosurgery, Wroclaw Medical University, Borowska 213, 54-427 Wroclaw, Poland;
- Phage Therapy Unit, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland
| | - Joanna Majewska
- Bacteriophage Laboratory, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland; (A.J.); (J.M.); (A.G.)
| | - Andrzej Górski
- Bacteriophage Laboratory, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland; (A.J.); (J.M.); (A.G.)
- Phage Therapy Unit, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland
- Infant Jesus Hospital, The Medical University of Warsaw, 02-006 Warsaw, Poland
| | - Ewa Jończyk-Matysiak
- Bacteriophage Laboratory, Hirszfeld Institute of Immunology and Experimental Therapy, Polish Academy of Sciences, 53-114 Wroclaw, Poland; (A.J.); (J.M.); (A.G.)
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8
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Navarro SL, Nagana Gowda GA, Bettcher LF, Pepin R, Nguyen N, Ellenberger M, Zheng C, Tinker LF, Prentice RL, Huang Y, Yang T, Tabung FK, Chan Q, Loo RL, Liu S, Wactawski-Wende J, Lampe JW, Neuhouser ML, Raftery D. Demographic, Health and Lifestyle Factors Associated with the Metabolome in Older Women. Metabolites 2023; 13:metabo13040514. [PMID: 37110172 PMCID: PMC10143141 DOI: 10.3390/metabo13040514] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/17/2023] [Accepted: 03/23/2023] [Indexed: 04/07/2023] Open
Abstract
Demographic and clinical factors influence the metabolome. The discovery and validation of disease biomarkers are often challenged by potential confounding effects from such factors. To address this challenge, we investigated the magnitude of the correlation between serum and urine metabolites and demographic and clinical parameters in a well-characterized observational cohort of 444 post-menopausal women participating in the Women’s Health Initiative (WHI). Using LC-MS and lipidomics, we measured 157 aqueous metabolites and 756 lipid species across 13 lipid classes in serum, along with 195 metabolites detected by GC-MS and NMR in urine and evaluated their correlations with 29 potential disease risk factors, including demographic, dietary and lifestyle factors, and medication use. After controlling for multiple testing (FDR < 0.01), we found that log-transformed metabolites were mainly associated with age, BMI, alcohol intake, race, sample storage time (urine only), and dietary supplement use. Statistically significant correlations were in the absolute range of 0.2–0.6, with the majority falling below 0.4. Incorporation of important potential confounding factors in metabolite and disease association analyses may lead to improved statistical power as well as reduced false discovery rates in a variety of data analysis settings.
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Affiliation(s)
- Sandi L. Navarro
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - G. A. Nagana Gowda
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Lisa F. Bettcher
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Robert Pepin
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Natalie Nguyen
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Mathew Ellenberger
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
| | - Cheng Zheng
- Department of Biostatistics, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Lesley F. Tinker
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ross L. Prentice
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Ying Huang
- Biostatistics Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Tao Yang
- School of Public Health, Xinjiang Medical University, Urumqi 830011, China
| | - Fred K. Tabung
- Department of Internal Medicine, Division of Medical Oncology, College of Medicine and Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Queenie Chan
- School of Public Health, Imperial College of London, London SW7 2AZ, UK
| | - Ruey Leng Loo
- Australian National Phenome Centre, Health Futures Institute, Murdoch University, Murdoch, WA 6150, Australia
| | - Simin Liu
- Center for Global Cardiometabolic Health, Department of Epidemiology, School of Public Health, Providence, RI 02912, USA
- Department of Medicine and Surgery, Alpert School of Medicine, Brown University, Providence, RI 02903, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY 14214, USA
| | - Johanna W. Lampe
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Marian L. Neuhouser
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | - Daniel Raftery
- Cancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98109, USA
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Montoya-García CO, García-Mateos R, Magdaleno-Villar JJ, Volke-Haller VH, Villa-Ruano N, Zepeda-Vallejo LG, Becerra-Martínez E. NMR-based metabolomics to determine the fluctuation of metabolites in hydroponic purslane crops at different harvesting times. Food Res Int 2023; 166:112489. [PMID: 36914359 DOI: 10.1016/j.foodres.2023.112489] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 12/05/2022] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Abstract
Purslane (Portulaca oleracea L.) has a high content of nutrients and medicinal effects that depend on the genotype, harvesting time, and production system. The objective of the present research work was to elucidate the NMR-based metabolomics profiling of three native purslane cultivars from Mexico (Xochimilco, Mixquic, and Cuautla) grown under hydroponic conditions and harvested in three different times (32, 39, and 46 days after emergence). Thirty-nine metabolites identified in the 1H NMR spectra of aerial parts of purslane, 5 sugars, 15 amino acids, 8 organic acids, 3 caffeoylquinic acids, as well as 2 alcohols and 3 nucleosides, choline, O-phosphocholine and trigonelline were also detected. A total of 37 compounds were detected in native purslane from Xochimilco and Cuautla, whereas 39 compounds were detected in purslane from Mixquic. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) separated the cultivars into three clusters. Mixquic cultivar had the highest number of differential compounds (amino acids and carbohydrates), followed by Xochimilco and Cuautla cultivars, respectively. Changes in the metabolome were observed in latest times of harvest for all the cultivars studied. The differential compounds were glucose, fructose, galactose, pyruvate, choline, and 2-hydroxysobutyrate. The results obtained in this investigation may contribute to selecting the best cultivar of purslane and the best time in which the levels of nutrients are optimal.
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Affiliation(s)
- César Omar Montoya-García
- Universidad Autónoma Chapingo - Departamento de Fitotecnia, Km. 38.5, Carretera México-Texcoco, 56230 Chapingo, Estado de México, Mexico
| | - Rosario García-Mateos
- Universidad Autónoma Chapingo - Departamento de Fitotecnia, Km. 38.5, Carretera México-Texcoco, 56230 Chapingo, Estado de México, Mexico.
| | - J Jesús Magdaleno-Villar
- Universidad Autónoma Chapingo - Departamento de Fitotecnia, Km. 38.5, Carretera México-Texcoco, 56230 Chapingo, Estado de México, Mexico
| | - Víctor Hugo Volke-Haller
- Colegio de Postgraduados - Campus Montecillo, Km. 36.5, Carretera México-Texcoco, Montecillo, Texcoco, 56230 Estado de México, Mexico
| | - Nemesio Villa-Ruano
- CONACyT-Centro Universitario de Vinculación y Transferencia de Tecnología, Benemérita Universidad Autónoma de Puebla, CP 72570 Puebla, Mexico
| | - L Gerardo Zepeda-Vallejo
- Departamento de Química Orgánica, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional, Prol. de Carpio y Plan de Ayala S/N, Col. Santo Tomas, Delegación, Miguel Hidalgo, Ciudad de México 11340, Mexico
| | - Elvia Becerra-Martínez
- Centro de Nanociencias y Micro y Nanotecnologías, Instituto Politécnico Nacional, Av. Luis Enrique Erro S/N, Unidad Profesional Adolfo López Mateos, Zacatenco, Delegación Gustavo A. Madero, Ciudad de México 07738, Mexico.
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10
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Garwolińska D, Kot-Wasik A, Hewelt-Belka W. Pre-analytical aspects in metabolomics of human biofluids - sample collection, handling, transport, and storage. Mol Omics 2023; 19:95-104. [PMID: 36524542 DOI: 10.1039/d2mo00212d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Metabolomics is the field of omics research that offers valuable insights into the complex composition of biological samples. It has found wide application in clinical diagnostics, disease investigation, therapy prediction, monitoring of treatment efficiency, drug discovery, or in-depth analysis of sample composition. A suitable study design constitutes the fundamental requirements to ensure robust and reliable results from the study data. The study design process should include a careful selection of conditions for each experimental step, from sample collection to data analysis. The pre-analytical variability that can introduce bias to the subsequent analytical process, decrease the outcome reliability, and confuse the final results of the metabolomics research, should also be considered. Herein, we provide key information regarding the pre-analytical variables affecting the metabolomics studies of biological fluids that are the most desirable type of biological samples. Our work offers a practical review that can serve and guide metabolomics pre-analytical design. It indicates pre-analytical factors, which can introduce artificial data variation and should be identified and understood during experimental design (through literature overview or analytical experiments).
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Affiliation(s)
- Dorota Garwolińska
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdańsk, Poland.
| | - Agata Kot-Wasik
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdańsk, Poland.
| | - Weronika Hewelt-Belka
- Department of Analytical Chemistry, Faculty of Chemistry, Gdańsk University of Technology, Gabriela Narutowicza 11/12, 80-233 Gdańsk, Poland.
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11
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Kartsova LA, Bessonova EA, Deev VA, Kolobova EA. Current Role of Modern Chromatography with Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy in the Investigation of Biomarkers of Endometriosis. Crit Rev Anal Chem 2023:1-24. [PMID: 36625278 DOI: 10.1080/10408347.2022.2156770] [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: 01/11/2023]
Abstract
Endometriosis has a wide range of clinical manifestations, and the disease course is unpredictable, making the diagnosis a challenging task. Despite significant advances in the pathophysiology of endometriosis and various proposed theories, the exact etiology is not fully understood and is still unknown. The most commonly used biomarker of endometriosis is CA-125, however, it is nonspecific and is applied for cancers diagnosis. Therefore, the development of reliable noninvasive diagnostic tests for the early diagnosis of endometriosis remains one of the top priorities. Omics technologies are very promising approaches for constructing diagnostic models and biomarker discovery. Their use can greatly facilitate the study of such a complex disease as endometriosis. Nowadays, powerful analytical platforms commonly used in omics, such as gas and liquid chromatography with mass spectrometry and nuclear magnetic resonance (NMR) spectroscopy, have proven to be a promising tools for biomarker discovery. The aim of this review is to summarize the various features of the analytical approaches, practical challenges and features of gas and liquid chromatography with MS and NMR spectroscopy (including sample processing protocols, technological advancements, and methodology) used for profiling of metabolites, lipids, peptides and proteins in physiological fluids and tissues from patients with endometriosis. In addition, this report devotes special attention to the issue of how comprehensive analyses of these profiles can effectively contribute to the study of endometriosis. The search query included reports published between 2012 and 2022 years in PubMed, Web-of-Science, SCOPUS, Science Direct.
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Affiliation(s)
| | | | | | - Ekaterina Alekseevna Kolobova
- Institute of Chemistry, St. Petersburg State University, St. Petersburg, Russia
- The Federal State Institute of Public Health 'The Nikiforov Russian Center of Emergency and Radiation Medicine', The Ministry of Russian Federation for Civil Defence, Emergencies and Elimination of Consequences of Natural Disasters, St. Petersburg, Russia
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12
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Wishart DS, Rout M, Lee BL, Berjanskii M, LeVatte M, Lipfert M. Practical Aspects of NMR-Based Metabolomics. Handb Exp Pharmacol 2023; 277:1-41. [PMID: 36271165 DOI: 10.1007/164_2022_613] [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: 06/16/2023]
Abstract
While NMR-based metabolomics is only about 20 years old, NMR has been a key part of metabolic and metabolism studies for >40 years. Historically, metabolic researchers used NMR because of its high level of reproducibility, superb instrument stability, facile sample preparation protocols, inherently quantitative character, non-destructive nature, and amenability to automation. In this chapter, we provide a short history of NMR-based metabolomics. We then provide a detailed description of some of the practical aspects of performing NMR-based metabolomics studies including sample preparation, pulse sequence selection, and spectral acquisition and processing. The two different approaches to metabolomics data analysis, targeted vs. untargeted, are briefly outlined. We also describe several software packages to help users process NMR spectra obtained via these two different approaches. We then give several examples of useful or interesting applications of NMR-based metabolomics, ranging from applications to drug toxicology, to identifying inborn errors of metabolism to analyzing the contents of biofluids from dairy cattle. Throughout this chapter, we will highlight the strengths and limitations of NMR-based metabolomics. Additionally, we will conclude with descriptions of recent advances in NMR hardware, methodology, and software and speculate about where NMR-based metabolomics is going in the next 5-10 years.
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Affiliation(s)
- David S Wishart
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
- Department of Computing Science, University of Alberta, Edmonton, AB, Canada.
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, AB, Canada.
- Faculty of Pharmacy and Pharmaceutical Sciences, University of Alberta, Edmonton, AB, Canada.
| | - Manoj Rout
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Brian L Lee
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Mark Berjanskii
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Marcia LeVatte
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Matthias Lipfert
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
- Reference Standard Management & NMR QC, Lonza Group AG, Visp, Switzerland
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13
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Abstract
Nuclear Magnetic Resonance (NMR) spectroscopy is one of the two major analytical platforms in the field of metabolomics, the other being mass spectrometry (MS). NMR is less sensitive than MS and hence it detects a relatively small number of metabolites. However, NMR exhibits numerous unique characteristics including its high reproducibility and non-destructive nature, its ability to identify unknown metabolites definitively, and its capabilities to obtain absolute concentrations of all detected metabolites, sometimes even without an internal standard. These characteristics outweigh the relatively low sensitivity and resolution of NMR in metabolomics applications. Since biological mixtures are highly complex, increased demand for new methods to improve detection, better identify unknown metabolites, and provide more accurate quantitation continues unabated. Technological and methodological advances to date have helped to improve the resolution and sensitivity and detection of a larger number of metabolite signals. Efforts focused on measuring unknown metabolite signals have resulted in the identification and quantitation of an expanded pool of metabolites including labile metabolites such as cellular redox coenzymes, energy coenzymes, and antioxidants. This chapter describes quantitative NMR methods in metabolomics with an emphasis on recent methodological developments, while highlighting the benefits and challenges of NMR-based metabolomics.
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Affiliation(s)
- G A Nagana Gowda
- Northwest Metabolomics Research Center, University of Washington, Seattle, WA, USA.
- Mitochondria and Metabolism Center, Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
| | - Daniel Raftery
- Northwest Metabolomics Research Center, University of Washington, Seattle, WA, USA.
- Mitochondria and Metabolism Center, Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, USA.
- Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
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14
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Chen K, Wei X, Zhang J, Kortesniemi M, Zhang Y, Yang B. Effect of Acylated and Nonacylated Anthocyanins on Urine Metabolic Profile during the Development of Type 2 Diabetes in Zucker Diabetic Fatty Rats. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:15143-15156. [PMID: 36410712 PMCID: PMC9732871 DOI: 10.1021/acs.jafc.2c06802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 10/24/2022] [Accepted: 10/28/2022] [Indexed: 06/16/2023]
Abstract
The effect of nonacylated and acylated anthocyanins on urinary metabolites in diabetic rats was investigated. Nonacylated anthocyanins extract from bilberries (NAAB) or acylated anthocyanins extract from purple potatoes (AAPP) was given to Zucker diabetic fatty (ZDF) rats for 8 weeks at daily doses of 25 and 50 mg/kg body weight. 1H NMR metabolomics was applied to study alterations in urinary metabolites from three time points (weeks 1, 4, and 8). Both types of anthocyanins modulated the metabolites associated with the tricarboxylic acid cycle, gut microbiota metabolism, and renal function at weeks 1 and 4, such as 2-oxoglutarate, fumarate, alanine, trigonelline, and hippurate. In addition, only a high dose of AAPP decreased monosaccharides, formate, lactate, and glucose levels at week 4, suggesting improvement in energy production in mitochondria, glucose homeostasis, and oxidative stress. This study suggested different impacts of AAPP and NAAB on the metabolic profile of urine in diabetes.
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Affiliation(s)
- Kang Chen
- Food
Sciences, Department of Life Technologies, University of Turku, FI-20014 Turu, Finland
| | - Xuetao Wei
- Beijing
Key Laboratory of Toxicological Research and Risk Assessment for Food
Safety, Department of Toxicology, School of Public Health, Peking University, Beijing 100191, China
| | - Jian Zhang
- Department
of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
| | - Maaria Kortesniemi
- Food
Sciences, Department of Life Technologies, University of Turku, FI-20014 Turu, Finland
| | - Yumei Zhang
- Department
of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, China
| | - Baoru Yang
- Food
Sciences, Department of Life Technologies, University of Turku, FI-20014 Turu, Finland
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15
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Robertson JL, Senger RS, Talty J, Du P, Sayed-Issa A, Avellar ML, Ngo LT, Gomez De La Espriella M, Fazili TN, Jackson-Akers JY, Guruli G, Orlando G. Alterations in the molecular composition of COVID-19 patient urine, detected using Raman spectroscopic/computational analysis. PLoS One 2022; 17:e0270914. [PMID: 35849572 PMCID: PMC9292080 DOI: 10.1371/journal.pone.0270914] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 06/17/2022] [Indexed: 11/30/2022] Open
Abstract
We developed and tested a method to detect COVID-19 disease, using urine specimens. The technology is based on Raman spectroscopy and computational analysis. It does not detect SARS-CoV-2 virus or viral components, but rather a urine ‘molecular fingerprint’, representing systemic metabolic, inflammatory, and immunologic reactions to infection. We analyzed voided urine specimens from 46 symptomatic COVID-19 patients with positive real time-polymerase chain reaction (RT-PCR) tests for infection or household contact with test-positive patients. We compared their urine Raman spectra with urine Raman spectra from healthy individuals (n = 185), peritoneal dialysis patients (n = 20), and patients with active bladder cancer (n = 17), collected between 2016–2018 (i.e., pre-COVID-19). We also compared all urine Raman spectra with urine specimens collected from healthy, fully vaccinated volunteers (n = 19) from July to September 2021. Disease severity (primarily respiratory) ranged among mild (n = 25), moderate (n = 14), and severe (n = 7). Seventy percent of patients sought evaluation within 14 days of onset. One severely affected patient was hospitalized, the remainder being managed with home/ambulatory care. Twenty patients had clinical pathology profiling. Seven of 20 patients had mildly elevated serum creatinine values (>0.9 mg/dl; range 0.9–1.34 mg/dl) and 6/7 of these patients also had estimated glomerular filtration rates (eGFR) <90 mL/min/1.73m2 (range 59–84 mL/min/1.73m2). We could not determine if any of these patients had antecedent clinical pathology abnormalities. Our technology (Raman Chemometric Urinalysis—Rametrix®) had an overall prediction accuracy of 97.6% for detecting complex, multimolecular fingerprints in urine associated with COVID-19 disease. The sensitivity of this model for detecting COVID-19 was 90.9%. The specificity was 98.8%, the positive predictive value was 93.0%, and the negative predictive value was 98.4%. In assessing severity, the method showed to be accurate in identifying symptoms as mild, moderate, or severe (random chance = 33%) based on the urine multimolecular fingerprint. Finally, a fingerprint of ‘Long COVID-19’ symptoms (defined as lasting longer than 30 days) was located in urine. Our methods were able to locate the presence of this fingerprint with 70.0% sensitivity and 98.7% specificity in leave-one-out cross-validation analysis. Further validation testing will include sampling more patients, examining correlations of disease severity and/or duration, and employing metabolomic analysis (Gas Chromatography–Mass Spectrometry [GC-MS], High Performance Liquid Chromatography [HPLC]) to identify individual components contributing to COVID-19 molecular fingerprints.
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Affiliation(s)
- John L. Robertson
- Department of Biomedical Engineering and Mechanics, College of Engineering, Virginia Tech, Blacksburg, Virginia, United States of America
- Section of Nephrology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
- DialySensors Incorporated, Blacksburg, Virginia, United States of America
- * E-mail:
| | - Ryan S. Senger
- DialySensors Incorporated, Blacksburg, Virginia, United States of America
- Department of Biological Systems Engineering, College of Life Sciences and Agriculture, Virginia Tech, Blacksburg, Virginia, United States of America
- Department of Chemical Engineering, College of Engineering, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Janine Talty
- Clinical Biomechanics and Orthopedic Medicine, Roanoke, Virginia, United States of America
| | - Pang Du
- DialySensors Incorporated, Blacksburg, Virginia, United States of America
- Department of Statistics, College of Science, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Amr Sayed-Issa
- DialySensors Incorporated, Blacksburg, Virginia, United States of America
| | - Maggie L. Avellar
- DialySensors Incorporated, Blacksburg, Virginia, United States of America
- Department of Biological Systems Engineering, College of Life Sciences and Agriculture, Virginia Tech, Blacksburg, Virginia, United States of America
| | - Lacey T. Ngo
- DialySensors Incorporated, Blacksburg, Virginia, United States of America
| | | | - Tasaduq N. Fazili
- Internal Medicine/Infectious Disease, Carilion Clinic, Roanoke, Virginia, United States of America
| | - Jasmine Y. Jackson-Akers
- Internal Medicine/Infectious Disease, Carilion Clinic, Roanoke, Virginia, United States of America
| | - Georgi Guruli
- Division of Surgical Urology/Urologic Oncology, Department of Surgery, Virginia Commonwealth University, Richmond, Virginia, United States of America
| | - Giuseppe Orlando
- Department of Surgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America
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16
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Daniels RC, Tiba MH, Cummings B, Yap YR, Ansari S, McCracken B, Sun Y, Jennaro T, Ward KR, Stringer KA. Redox Potential Correlates with Changes in Metabolite Concentrations Attributable to Pathways Active in Oxidative Stress Response in Swine Traumatic Shock. Shock 2022; 57:282-290. [PMID: 35670453 PMCID: PMC10314677 DOI: 10.1097/shk.0000000000001944] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
INTRODUCTION Oxidation-reduction (redox) reactions, and the redox potential (RP) that must be maintained for proper cell function, lie at the heart of physiologic processes in critical illness. Imbalance in RP reflects systemic oxidative stress, and whole blood RP measures have been shown to correlate with oxygen debt level over time in swine traumatic shock. We hypothesize that RP measures reflect changing concentrations of metabolites involved in oxidative stress. To test this hypothesis, we compared blood and urine RP with concentrations of multiple metabolites in a swine traumatic shock model to identify meaningful RP-metabolite relationships. METHODS Seven swine were subjected to traumatic shock. Mixed venous (MV) RP, urine RP, and concurrent MV and urine metabolite concentrations were assessed at baseline, max O 2 Debt (80 mL/kg), end resuscitation, and 2 h post-resuscitation. RP was measured at collection via open circuit potential using nanoporous gold electrodes with Ag/AgCl reference and a ParstatMC potentiostat. Metabolite concentrations were measured by quantitative 1 H-NMR spectroscopy. MV and urine RP were compared with time-matched metabolites across all swine. LASSO regression with leave-one-out cross validation was used to determine meaningful RP/metabolite relationships. Metabolites had to maintain magnitude and direction of coefficients across 6 or more swine to be considered as having a meaningful relationship. KEGG IDs of these metabolites were uploaded into Metscape for pathway identification and evaluation for physiologic function. RESULTS Meaningful metabolite relationships (and mean coefficients across cross-validation folds) with MV RP included: choline (-6.27), ATP (-4.39), glycine (5.93), ADP (1.84), glucose (15.96), formate (-13.09), pyruvate (6.18), and taurine (-7.18). Relationships with urine RP were: betaine (4.81), urea (4.14), glycine (-2.97), taurine (10.32), 3-hydroxyisobutyrate (-7.67), N-phenylacetylglycine, PAG (-14.52), hippurate (12.89), and formate (-5.89). These meaningful metabolites were found to scavenge extracellular peroxide (pyruvate), inhibit ROS and activate cellular antioxidant defense (taurine), act as indicators of antioxidant mobilization against oxidative stress (glycine + PAG), and reflect renal hydroxyl radical trapping (hippurate), among other activities. CONCLUSIONS Real-time RP measures demonstrate significant relationships with metabolites attributable to metabolic pathways involved in systemic responses to oxidative stress, as well as those involved in these processes. These data support RP measures as a feasible, biologically relevant marker of oxidative stress. As a direct measure of redox state, RP may be a useful biomarker and clinical tool in guiding diagnosis and therapy in states of increased oxidative stress and may offer value as a marker for organ injury in these states as well.
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Affiliation(s)
- Rodney C. Daniels
- Pediatric Critical Care Medicine, Department of Pediatrics, University of Michigan, Ann Arbor, MI
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
- Department of Biomedical Engineering, College of Engineering, University of Michigan, Ann Arbor, MI
| | - M. Hakam Tiba
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI
| | - Brandon Cummings
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
| | - Yan Rou Yap
- Pediatric Critical Care Medicine, Department of Pediatrics, University of Michigan, Ann Arbor, MI
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
| | - Sardar Ansari
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
| | - Brendan McCracken
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI
| | - Yihan Sun
- NMR Metabolomics Laboratory, Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI
- Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI
| | - Teddy Jennaro
- NMR Metabolomics Laboratory, Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI
- Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI
| | - Kevin R. Ward
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
- Department of Emergency Medicine, University of Michigan, Ann Arbor, MI
| | - Kathleen A. Stringer
- Michigan Center for Integrative Research in Critical Care (MCIRCC), University of Michigan, Ann Arbor, MI
- NMR Metabolomics Laboratory, Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI
- Pulmonary and Critical Care Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI
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17
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Hall RD, D'Auria JC, Silva Ferreira AC, Gibon Y, Kruszka D, Mishra P, van de Zedde R. High-throughput plant phenotyping: a role for metabolomics? TRENDS IN PLANT SCIENCE 2022; 27:549-563. [PMID: 35248492 DOI: 10.1016/j.tplants.2022.02.001] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2021] [Revised: 01/18/2022] [Accepted: 02/02/2022] [Indexed: 05/17/2023]
Abstract
High-throughput (HTP) plant phenotyping approaches are developing rapidly and are already helping to bridge the genotype-phenotype gap. However, technologies should be developed beyond current physico-spectral evaluations to extend our analytical capacities to the subcellular level. Metabolites define and determine many key physiological and agronomic features in plants and an ability to integrate a metabolomics approach within current HTP phenotyping platforms has huge potential for added value. While key challenges remain on several fronts, novel technological innovations are upcoming yet under-exploited in a phenotyping context. In this review, we present an overview of the state of the art and how current limitations might be overcome to enable full integration of metabolomics approaches into a generic phenotyping pipeline in the near future.
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Affiliation(s)
- Robert D Hall
- BU Bioscience, Wageningen University & Research, 6700 AA, Wageningen, The Netherlands; Laboratory of Plant Physiology, Wageningen University, 6700 AA, Wageningen, The Netherlands; Netherlands Metabolomics Centre, Einsteinweg 55, Leiden, The Netherlands.
| | - John C D'Auria
- Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK Gatersleben), Gatersleben, Corrensstraße 3, 06466 Seeland, Germany
| | - Antonio C Silva Ferreira
- Universidade Católica Portuguesa, CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Rua Arquiteto Lobão Vital, Apartado 2511, 4202-401 Porto, Portugal; Faculty of AgriSciences, University of Stellenbosch, Matieland 7602, South Africa; Cork Supply Portugal, S.A., Rua Nova do Fial, 4535, Portugal
| | - Yves Gibon
- UMR 1332 Biologie du Fruit et Pathologie, INRAE, Univ. Bordeaux, INRAE Nouvelle Aquitaine - Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France; Bordeaux Metabolome, MetaboHUB, INRAE, Univ. Bordeaux, Avenue Edouard Bourlaux, Villenave d'Ornon, France PMB-Metabolome, INRAE, Centre INRAE de Nouvelle, Aquitaine-Bordeaux, Villenave d'Ornon, France
| | - Dariusz Kruszka
- Institute of Plant Genetics, Polish Academy of Sciences, 60-479 Poznan, Poland
| | - Puneet Mishra
- Food and Biobased Research, Wageningen University & Research, 6708 WE, Wageningen, The Netherlands
| | - Rick van de Zedde
- Plant Sciences Group, Wageningen University & Research, 6700 AA, Wageningen, The Netherlands
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18
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Chasapi SA, Karagkouni E, Kalavrizioti D, Vamvakas S, Zompra A, Takis PG, Goumenos DS, Spyroulias GA. NMR-Based Metabolomics in Differential Diagnosis of Chronic Kidney Disease (CKD) Subtypes. Metabolites 2022; 12:490. [PMID: 35736423 PMCID: PMC9230636 DOI: 10.3390/metabo12060490] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 02/01/2023] Open
Abstract
Chronic Kidney Disease (CKD) is considered as a major public health problem as it can lead to end-stage kidney failure, which requires replacement therapy. A prompt and accurate diagnosis, along with the appropriate treatment, can delay CKD's progression, significantly. Herein, we sought to determine whether CKD etiology can be reflected in urine metabolomics during its early stage. This is achieved through the analysis of the urine metabolic fingerprint from 108 CKD patients by means of Nuclear Magnetic Resonance (NMR) spectroscopy metabolomic analysis. We report the first NMR-metabolomics data regarding the three most common etiologies of CKD: Chronic Glomerulonephritis (IgA and Membranous Nephropathy), Diabetic Nephropathy (DN) and Hypertensive Nephrosclerosis (HN). Analysis aided a moderate glomerulonephritis clustering, providing characterization of the metabolic fluctuations between the CKD subtypes and control disease. The urine metabolome of IgA Nephropathy reveals a specific metabolism, reflecting its different etiology or origin and is useful for determining the origin of the disease. In contrast, urine metabolomes from DN and HN patients did not reveal any indicative metabolic pattern, which is consistent with their fused clinical phenotype. These findings may contribute to improving diagnostics and prognostic approaches for CKD, as well as improving our understanding of its pathology.
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Affiliation(s)
- Styliani A. Chasapi
- Department of Pharmacy, University of Patras, 26504 Patras, Greece; (S.A.C.); (E.K.); (A.Z.)
| | - Evdokia Karagkouni
- Department of Pharmacy, University of Patras, 26504 Patras, Greece; (S.A.C.); (E.K.); (A.Z.)
| | - Dimitra Kalavrizioti
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, 26504 Patras, Greece; (D.K.); (S.V.)
| | - Sotirios Vamvakas
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, 26504 Patras, Greece; (D.K.); (S.V.)
| | - Aikaterini Zompra
- Department of Pharmacy, University of Patras, 26504 Patras, Greece; (S.A.C.); (E.K.); (A.Z.)
| | - Panteleimon G. Takis
- Section of Bioanalytical Chemistry, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, UK;
- National Phenome Centre, Department of Metabolism, Digestion and Reproduction, Imperial College London, Hammersmith Campus, IRDB Building, London W120NN, UK
| | - Dimitrios S. Goumenos
- Department of Nephrology and Renal Transplantation, University Hospital of Patras, 26504 Patras, Greece; (D.K.); (S.V.)
| | - Georgios A. Spyroulias
- Department of Pharmacy, University of Patras, 26504 Patras, Greece; (S.A.C.); (E.K.); (A.Z.)
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19
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Untargeted Metabolomic Profiling and Antioxidant Capacities of Different Solvent Crude Extracts of Ephedra foeminea. Metabolites 2022; 12:metabo12050451. [PMID: 35629955 PMCID: PMC9146585 DOI: 10.3390/metabo12050451] [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] [Received: 04/10/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 12/16/2022] Open
Abstract
Ephedra foeminea is a traditional medicinal plant used in the Eastern Mediterranean region. This study aims to investigate the chemical profiles of different solvent extracts of E. foeminea via an untargeted metabolomics approach, alongside determining their antioxidant capacities. E. foeminea samples collected from Jordan were macerated in solvents of varying polarities; dichloromethane/methanol, methanol, ethanol, ethyl acetate, and acetone. The crude extracts were subjected to comprehensive chemical profiling and metabolomics study using Gas chromatography–Mass spectrometry (GC–MS), Liquid chromatography–Mass spectrometry (LC–MS), and Nuclear Magnetic Resonance (NMR). The obtained data were analyzed using Venn diagrams, Principle Component Analysis (PCA), and Metabolite Enrichment Set Analysis (MESA). ABTS assay was performed to measure the crude extracts’ antioxidant activity. MESA revealed the dominant chemical groups as amino acids, fatty acids, carboxylic acids, and carbohydrates. Results indicated that dichloromethane/methanol and methanolic extracts had the most distinct composition as well as the most unique compounds. The methanolic extract had the most potency (IC50 249.6 µg/mL) in the ABTS assay. However, no significant differences were found. In conclusion, solvents influenced the recovery of metabolites in E. foeminea and the antioxidant activity of the E. foeminea methanolic extract could be correlated to the abundant presence of diverse bioactive compounds.
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Abstract
During the past few decades, the direct analysis of metabolic intermediates in biological samples has greatly improved the understanding of metabolic processes. The most used technologies for these advances have been mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. NMR is traditionally used to elucidate molecular structures and has now been extended to the analysis of complex mixtures, as biological samples: NMR-based metabolomics. There are however other areas of small molecule biochemistry for which NMR is equally powerful. These include the quantification of metabolites (qNMR); the use of stable isotope tracers to determine the metabolic fate of drugs or nutrients, unravelling of new metabolic pathways, and flux through pathways; and metabolite-protein interactions for understanding metabolic regulation and pharmacological effects. Computational tools and resources for automating analysis of spectra and extracting meaningful biochemical information has developed in tandem and contributes to a more detailed understanding of systems biochemistry. In this review, we highlight the contribution of NMR in small molecule biochemistry, specifically in metabolic studies by reviewing the state-of-the-art methodologies of NMR spectroscopy and future directions.
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Affiliation(s)
- Sofia Moco
- Division of Molecular and Computational Toxicology, Department of Chemistry and Pharmaceutical Sciences, Amsterdam Institute for Molecular and Life Sciences, Vrije Universiteit Amsterdam, Amsterdam, Netherlands
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21
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di Meo NA, Loizzo D, Pandolfo SD, Autorino R, Ferro M, Porta C, Stella A, Bizzoca C, Vincenti L, Crocetto F, Tataru OS, Rutigliano M, Battaglia M, Ditonno P, Lucarelli G. Metabolomic Approaches for Detection and Identification of Biomarkers and Altered Pathways in Bladder Cancer. Int J Mol Sci 2022; 23:ijms23084173. [PMID: 35456991 PMCID: PMC9030452 DOI: 10.3390/ijms23084173] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/05/2022] [Accepted: 04/08/2022] [Indexed: 12/24/2022] Open
Abstract
Metabolomic analysis has proven to be a useful tool in biomarker discovery and the molecular classification of cancers. In order to find new biomarkers, and to better understand its pathological behavior, bladder cancer also has been studied using a metabolomics approach. In this article, we review the literature on metabolomic studies of bladder cancer, focusing on the different available samples (urine, blood, tissue samples) used to perform the studies and their relative findings. Moreover, the multi-omic approach in bladder cancer research has found novel insights into its metabolic behavior, providing excellent start-points for new diagnostic and therapeutic strategies. Metabolomics data analysis can lead to the discovery of a “signature pathway” associated with the progression of bladder cancer; this aspect could be potentially valuable in predictions of clinical outcomes and the introduction of new treatments. However, further studies are needed to give stronger evidence and to make these tools feasible for use in clinical practice.
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Affiliation(s)
- Nicola Antonio di Meo
- Department of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy; (N.A.d.M.); (D.L.); (M.R.); (M.B.); (P.D.)
| | - Davide Loizzo
- Department of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy; (N.A.d.M.); (D.L.); (M.R.); (M.B.); (P.D.)
- Division of Urology, Virginia Commonwealth University (VCU) Health, Richmond, VA 23298, USA; (S.D.P.); (R.A.)
| | - Savio Domenico Pandolfo
- Division of Urology, Virginia Commonwealth University (VCU) Health, Richmond, VA 23298, USA; (S.D.P.); (R.A.)
- Division of Urology, University of Naples “Federico II”, 80100 Naples, Italy
| | - Riccardo Autorino
- Division of Urology, Virginia Commonwealth University (VCU) Health, Richmond, VA 23298, USA; (S.D.P.); (R.A.)
| | - Matteo Ferro
- Division of Urology, European Institute of Oncology (IEO), IRCCS, 20141 Milan, Italy;
| | - Camillo Porta
- Department of Biomedical Sciences and Human Oncology, University of Bari, 70124 Bari, Italy; (C.P.); (A.S.)
| | - Alessandro Stella
- Department of Biomedical Sciences and Human Oncology, University of Bari, 70124 Bari, Italy; (C.P.); (A.S.)
| | - Cinzia Bizzoca
- Department of General Surgery “Ospedaliera”, Polyclinic Hospital of Bari, 70124 Bari, Italy; (C.B.); (L.V.)
| | - Leonardo Vincenti
- Department of General Surgery “Ospedaliera”, Polyclinic Hospital of Bari, 70124 Bari, Italy; (C.B.); (L.V.)
| | - Felice Crocetto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples “Federico II”, 80131 Naples, Italy;
| | - Octavian Sabin Tataru
- I.O.S.U.D., George Emil Palade University of Medicine and Pharmacy, Science and Technology, 540142 Targu Mures, Romania;
| | - Monica Rutigliano
- Department of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy; (N.A.d.M.); (D.L.); (M.R.); (M.B.); (P.D.)
| | - Michele Battaglia
- Department of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy; (N.A.d.M.); (D.L.); (M.R.); (M.B.); (P.D.)
| | - Pasquale Ditonno
- Department of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy; (N.A.d.M.); (D.L.); (M.R.); (M.B.); (P.D.)
| | - Giuseppe Lucarelli
- Department of Emergency and Organ Transplantation-Urology, Andrology and Kidney Transplantation Unit, University of Bari, 70124 Bari, Italy; (N.A.d.M.); (D.L.); (M.R.); (M.B.); (P.D.)
- Correspondence:
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22
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Eom JS, Lee SJ, Kim HS, Choi Y, Jo SU, Lee SS, Kim ET, Lee SS. Metabolic profiling of serum and urine in lactating dairy cows
affected by subclinical ketosis using proton nuclear magnetic resonance
spectroscopy. JOURNAL OF ANIMAL SCIENCE AND TECHNOLOGY 2022; 64:247-261. [PMID: 35530404 PMCID: PMC9039949 DOI: 10.5187/jast.2022.e14] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 02/16/2022] [Accepted: 02/21/2022] [Indexed: 11/20/2022]
Abstract
Ketosis is associated with high milk yield during lactating or insufficient feed
intake in lactating dairy cows. However, few studies have been conducted on the
metabolomics of ketosis in Korean lactating dairy cows. The present study aimed
to investigate the serum and urine metabolites profiling of lactating dairy cows
through proton nuclear magnetic resonance (1H-NMR) spectroscopy and
comparing those between healthy (CON) and subclinical ketosis (SCK) groups. Six
lactating dairy cows were categorized into CON and SCK groups. All experimental
Holstein cows were fed total mixed ration. Serum and urine samples were
collected from the jugular vein of the neck and by hand sweeping the perineum,
respectively. The metabolites in the serum and urine were determined using
1H-NMR spectroscopy. Identification and quantification of
metabolites was performed by Chenomx NMR Suite 8.4 software. Metabolites
statistical analysis was performed by Metaboanalyst version 5.0 program. In the
serum, the acetoacetate level was significantly (p <
0.05) higher in the SCK group than in the CON group, and whereas acetate,
galactose and pyruvate levels tended to be higher. CON group had significantly
(p < 0.05) higher levels of 5-aminolevulinate and
betaine. Indole-3-acetate, theophylline, p-cresol, 3-hydroxymandelate,
gentisate, N-acetylglucosamine,
N-nitrosodimethylamine, xanthine and pyridoxine levels were
significantly (p < 0.05) higher in the urine of the SCK
group than that in the CON group, which had higher levels of homogentisate,
ribose, gluconate, ethylene glycol, maltose, 3-methyl-2-oxovalerate and
glycocholate. Some significantly (p < 0.05) different
metabolites in the serum and urine were associated with ketosis diseases,
inflammation, energy balance and body weight. This study will be contributed
useful a future ketosis metabolomics studies in Korea.
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Affiliation(s)
- Jun Sik Eom
- Institute of Agriculture and Life Science,
Gyeongsang National University, Jinju 52828, Korea
| | - Shin Ja Lee
- Institute of Agriculture and Life Science,
Gyeongsang National University, Jinju 52828, Korea
- University Centered Labs, Gyeongsang
National University, Jinju 52828, Korea
| | - Hyun Sang Kim
- Institute of Agriculture and Life Science,
Gyeongsang National University, Jinju 52828, Korea
| | - Youyoung Choi
- Division of Applied Life Science (BK21),
Gyeongsang National Universitiy, Jinju 52828, Korea
| | - Seong Uk Jo
- Division of Applied Life Science (BK21),
Gyeongsang National Universitiy, Jinju 52828, Korea
| | - Sang Suk Lee
- Ruminant Nutrition and Anaerobe
Laboratory, Department of Animal Science and Technology, Sunchon National
University, Suncheon 57922, Korea
| | - Eun Tae Kim
- Dairy Science Division, National Institute
of Animal Science, Rural Development Administration, Cheonan
31000, Korea
| | - Sung Sill Lee
- Institute of Agriculture and Life Science,
Gyeongsang National University, Jinju 52828, Korea
- University Centered Labs, Gyeongsang
National University, Jinju 52828, Korea
- Division of Applied Life Science (BK21),
Gyeongsang National Universitiy, Jinju 52828, Korea
- Corresponding author: Sung Sill Lee, Division of
Applied Life Science (BK21) & Institute of Agriculture and Life Science,
Gyeongsang National University, Jinju 52828, Korea. Tel: +82-55-772-1883,
E-mail:
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23
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Kim S, Okazaki S, Otsuka I, Shinko Y, Horai T, Shimmyo N, Hirata T, Yamaki N, Tanifuji T, Boku S, Sora I, Hishimoto A. Searching for biomarkers in schizophrenia and psychosis: Case-control study using capillary electrophoresis and liquid chromatography time-of-flight mass spectrometry and systematic review for biofluid metabolites. Neuropsychopharmacol Rep 2022; 42:42-51. [PMID: 34889082 PMCID: PMC8919119 DOI: 10.1002/npr2.12223] [Citation(s) in RCA: 5] [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: 10/06/2021] [Revised: 11/20/2021] [Accepted: 11/27/2021] [Indexed: 11/10/2022] Open
Abstract
Metabolomics has been attracting attention in recent years as an objective method for diagnosing schizophrenia. In this study, we analyzed 378 metabolites in the serum of schizophrenia patients using capillary electrophoresis- and liquid chromatography-time-of-flight mass spectrometry. Using multivariate analysis with the orthogonal partial least squares method, we observed significantly higher levels of alanine, glutamate, lactic acid, ornithine, and serine and significantly lower levels of urea, in patients with chronic schizophrenia compared to healthy controls. Additionally, levels of fatty acids (15:0), (17:0), and (19:1), cis-11-eicosenoic acid, and thyroxine were significantly higher in patients with acute psychosis than in those in remission. Moreover, we conducted a systematic review of comprehensive metabolomics studies on schizophrenia over the last 20 years and observed consistent trends of increase in some metabolites such as glutamate and glucose, and decrease in citrate in schizophrenia patients across several studies. Hence, we provide substantial evidence for metabolic biomarkers in schizophrenia patients through our metabolomics study.
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Affiliation(s)
- Saehyeon Kim
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Satoshi Okazaki
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Ikuo Otsuka
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Yutaka Shinko
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Tadasu Horai
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Naofumi Shimmyo
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Takashi Hirata
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Naruhisa Yamaki
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Takaki Tanifuji
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Shuken Boku
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
- Department of NeuropsychiatryFaculty of Life SciencesKumamoto UniversityKumamotoJapan
| | - Ichiro Sora
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
| | - Akitoyo Hishimoto
- Department of PsychiatryKobe University Graduate School of MedicineKobeJapan
- Department of PsychiatryYokohama City University Graduate School of MedicineYokohamaJapan
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24
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Derivatization-assisted LC-MS/MS method for simultaneous quantification of endogenous gamma-hydroxybutyric acid and its metabolic precursors and products in human urine. Anal Chim Acta 2022; 1194:339401. [DOI: 10.1016/j.aca.2021.339401] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 12/01/2021] [Accepted: 12/23/2021] [Indexed: 12/20/2022]
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25
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Jagannathan N, Reddy RR. Potential of nuclear magnetic resonance metabolomics in the study of prostate cancer. Indian J Urol 2022; 38:99-109. [PMID: 35400867 PMCID: PMC8992727 DOI: 10.4103/iju.iju_416_21] [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: 11/06/2021] [Revised: 12/16/2021] [Accepted: 02/09/2022] [Indexed: 12/24/2022] Open
Abstract
Nuclear magnetic resonance (NMR) metabolomics is a powerful analytical technique and a tool which has unique characteristics and capabilities for the evaluation of a number of biochemicals/metabolites of cancer and other disease processes that are present in biofluids (urine and blood) and tissues. The potential of NMR metabolomics in prostate cancer (PCa) has been explored by researchers and its usefulness has been documented. A large number of metabolites such as citrate, choline, and sarcosine were detected by NMR metabolomics from biofluids and tissues related to PCa and their levels were compared with controls and benign prostatic hyperplasia. The changes in the levels of these metabolites aid in the diagnosis and help to understand the dysregulated metabolic pathways in PCa. We review recent studies on in vitro and ex vivo NMR spectroscopy-based PCa metabolomics and its possible role as a diagnostic tool.
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26
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Vilca-Melendez S, Uthaug MV, Griffin JL. 1H Nuclear Magnetic Resonance: A Future Approach to the Metabolic Profiling of Psychedelics in Human Biofluids? Front Psychiatry 2021; 12:742856. [PMID: 34966300 PMCID: PMC8710695 DOI: 10.3389/fpsyt.2021.742856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 11/18/2021] [Indexed: 11/25/2022] Open
Abstract
While psychedelics may have therapeutic potential for treating mental health disorders such as depression, further research is needed to better understand their biological effects and mechanisms of action when considering the development of future novel therapy approaches. Psychedelic research could potentially benefit from the integration of metabonomics by proton nuclear magnetic resonance (1H NMR) spectroscopy which is an analytical chemistry-based approach that can measure the breakdown of drugs into their metabolites and their metabolic consequences from various biofluids. We have performed a systematic review with the primary aim of exploring published literature where 1H NMR analysed psychedelic substances including psilocin, lysergic acid diethylamide (LSD), LSD derivatives, N,N-dimethyltryptamine (DMT), 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT) and bufotenin. The second aim was to assess the benefits and limitations of 1H NMR spectroscopy-based metabolomics as a tool in psychedelic research and the final aim was to explore potential future directions. We found that the most current use of 1H NMR in psychedelic research has been for the structural elucidation and analytical characterisation of psychedelic molecules and that no papers used 1H NMR in the metabolic profiling of biofluids, thus exposing a current research gap and the underuse of 1H NMR. The efficacy of 1H NMR spectroscopy was also compared to mass spectrometry, where both metabonomics techniques have previously shown to be appropriate for biofluid analysis in other applications. Additionally, potential future directions for psychedelic research were identified as real-time NMR, in vivo 1H nuclear magnetic resonance spectroscopy (MRS) and 1H NMR studies of the gut microbiome. Further psychedelic studies need to be conducted that incorporate the use of 1H NMR spectroscopy in the analysis of metabolites both in the peripheral biofluids and in vivo to determine whether it will be an effective future approach for clinical and naturalistic research.
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Affiliation(s)
- Sylvana Vilca-Melendez
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Malin V. Uthaug
- The Centre for Psychedelic Research, Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom
- Department of Neuropsychology and Psychopharmacology, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - Julian L. Griffin
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
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27
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Nerli RB, Ghagane SC, Bidi SR, Thakur ML, Gomella L. Voided urine test to diagnose prostate cancer: Preliminary report. Cytojournal 2021; 18:26. [PMID: 34754324 PMCID: PMC8571200 DOI: 10.25259/cytojournal_76_2020] [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: 12/14/2020] [Accepted: 05/28/2021] [Indexed: 11/04/2022] Open
Abstract
Objectives Prostate cancer (PCa) is a common malignancy affecting elderly male. At present, PCa is estimated using serum prostate-specific antigen (PSA). Prostate biopsy remains the gold standard to confirm the diagnosis of PCa. In this preliminary study, we have assessed the feasibility of detecting PCa using voided urine by targeting the genomic vasoactive intestinal peptide receptor (VPAC) expressed on malignant PCa cells. Material and Methods Patients ≥40 years old, with no lower urinary tract symptoms (LUTS) and serum PSA levels of <1.6 ng/mL formed the control group and patients ≥40 years old, with LUTS and serum PSA >2.6 ng/ mL formed the study group. Patients were advised to give the first 50 mL of voided urine sample for the detection of malignant markers by targeting the VPAC. The results of histopathological studies were then compared to the results of urine biomarker. Results The study revealed absence of malignant markers in 75 patients (control group). In the study group, all the 33 patients with adenocarcinoma were positive for malignant markers in the biomarker study and absence of malignant markers in the 32 patients with benign histology. The results of the biomarker studies and histopathology were consistent with each other. Conclusion This preliminary study validates our belief that patients with PCa do shed malignant cells in the urine which can be identified by targeting the VPAC. The investigation is easy and our data appear to be highly encouraging and further serve as a simple, reliable, and a non-invasive tool in the detection of PCa.
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Affiliation(s)
- R B Nerli
- Department of Urology, Division of Urologic-Oncology, JN Medical College, KLE Academy of Higher Education and Research, JNMC Campus, Belagavi, Karnataka, India.,Urinary Biomarkers Research Centre, KLES Dr. Prabhakar Kore Hospital and M.R.C, Belagavi, Karnataka, India
| | - Shridhar C Ghagane
- Department of Urology, Division of Urologic-Oncology, JN Medical College, KLE Academy of Higher Education and Research, JNMC Campus, Belagavi, Karnataka, India.,Urinary Biomarkers Research Centre, KLES Dr. Prabhakar Kore Hospital and M.R.C, Belagavi, Karnataka, India
| | - Saziya R Bidi
- Urinary Biomarkers Research Centre, KLES Dr. Prabhakar Kore Hospital and M.R.C, Belagavi, Karnataka, India
| | - Madhukar L Thakur
- Department of Urology, Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.,Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania, United States
| | - Leonard Gomella
- Department of Urology, Radiology, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.,Department of Urology, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.,The Sidney Kimmel Cancer Centre, Thomas Jefferson University, Philadelphia, Pennsylvania, United States
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28
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Saigusa D, Hishinuma E, Matsukawa N, Takahashi M, Inoue J, Tadaka S, Motoike IN, Hozawa A, Izumi Y, Bamba T, Kinoshita K, Ekroos K, Koshiba S, Yamamoto M. Comparison of Kit-Based Metabolomics with Other Methodologies in a Large Cohort, towards Establishing Reference Values. Metabolites 2021; 11:652. [PMID: 34677367 PMCID: PMC8538467 DOI: 10.3390/metabo11100652] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 09/16/2021] [Accepted: 09/17/2021] [Indexed: 12/18/2022] Open
Abstract
Metabolic profiling is an omics approach that can be used to observe phenotypic changes, making it particularly attractive for biomarker discovery. Although several candidate metabolites biomarkers for disease expression have been identified in recent clinical studies, the reference values of healthy subjects have not been established. In particular, the accuracy of concentrations measured by mass spectrometry (MS) is unclear. Therefore, comprehensive metabolic profiling in large-scale cohorts by MS to create a database with reference ranges is essential for evaluating the quality of the discovered biomarkers. In this study, we tested 8700 plasma samples by commercial kit-based metabolomics and separated them into two groups of 6159 and 2541 analyses based on the different ultra-high-performance tandem mass spectrometry (UHPLC-MS/MS) systems. We evaluated the quality of the quantified values of the detected metabolites from the reference materials in the group of 2541 compared with the quantified values from other platforms, such as nuclear magnetic resonance (NMR), supercritical fluid chromatography tandem mass spectrometry (SFC-MS/MS) and UHPLC-Fourier transform mass spectrometry (FTMS). The values of the amino acids were highly correlated with the NMR results, and lipid species such as phosphatidylcholines and ceramides showed good correlation, while the values of triglycerides and cholesterol esters correlated less to the lipidomics analyses performed using SFC-MS/MS and UHPLC-FTMS. The evaluation of the quantified values by MS-based techniques is essential for metabolic profiling in a large-scale cohort.
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Affiliation(s)
- Daisuke Saigusa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8575, Japan
| | - Eiji Hishinuma
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan
| | - Naomi Matsukawa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8575, Japan
| | - Masatomo Takahashi
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (M.T.); (Y.I.); (T.B.)
| | - Jin Inoue
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan
| | - Shu Tadaka
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Graduate School of Information Sciences, Tohoku University, 6-3-09, Aramaki Aza-Aoba, Aoba-ku, Sendai 980-8579, Japan
| | - Ikuko N. Motoike
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Graduate School of Information Sciences, Tohoku University, 6-3-09, Aramaki Aza-Aoba, Aoba-ku, Sendai 980-8579, Japan
| | - Atsushi Hozawa
- Department of Preventive Medicine and Epidemiology, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan;
| | - Yoshihiro Izumi
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (M.T.); (Y.I.); (T.B.)
- Department of Systems Life Sciences, Graduate School of Systems Life Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Takeshi Bamba
- Division of Metabolomics, Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan; (M.T.); (Y.I.); (T.B.)
- Department of Systems Life Sciences, Graduate School of Systems Life Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Kengo Kinoshita
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan
- Graduate School of Information Sciences, Tohoku University, 6-3-09, Aramaki Aza-Aoba, Aoba-ku, Sendai 980-8579, Japan
| | - Kim Ekroos
- Lipidomics Consulting Ltd., 02230 Espoo, Finland;
| | - Seizo Koshiba
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan; (E.H.); (N.M.); (J.I.); (S.T.); (I.N.M.); (K.K.); (S.K.); (M.Y.)
- Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8575, Japan
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan
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Abstract
Benchtop nuclear magnetic resonance (NMR) spectroscopy uses small permanent magnets to generate magnetic fields and therefore offers the advantages of operational simplicity and reasonable cost, presenting a viable alternative to high-field NMR spectroscopy. In particular, the use of benchtop NMR spectroscopy for rapid in-field analysis, e.g., for quality control or forensic science purposes, has attracted considerable attention. As benchtop NMR spectrometers are sufficiently compact to be operated in a fume hood, they can be efficiently used for real-time reaction and process monitoring. This review introduces the recent applications of benchtop NMR spectroscopy in diverse fields, including food science, pharmaceuticals, process and reaction monitoring, metabolomics, and polymer materials.
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Role of metabolomics in identifying cardiac hypertrophy: an overview of the past 20 years of development and future perspective. Expert Rev Mol Med 2021; 23:e8. [PMID: 34376261 DOI: 10.1017/erm.2021.12] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Cardiac hypertrophy (CH) is an augmentation of either the right ventricular or the left ventricular mass in order to compensate for the increase of work load on the heart. Metabolic abnormalities lead to histological changes of cardiac myocytes and turn into CH. The molecular mechanisms that lead to initiate CH have been of widespread concern, hence the development of the new field of research, metabolomics: one 'omics' approach that can reveal comprehensive information of the paradigm shift of metabolic pathways network in contrast to individual enzymatic reaction-based metabolites, have attempted and until now only 19 studies have been conducted using experimental animal and human specimens. Nuclear magnetic resonance spectroscopy and mass spectrometry-based metabolomics studies have found that CH is a metabolic disease and is mainly linked to the harmonic imbalance of glycolysis, citric acid cycle, amino acids and lipid metabolism. The current review will summarise the main outcomes of the above mentioned 19 studies that have expanded our understanding of the molecular mechanisms that may lead to CH and eventually to heart failure.
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Emwas AHM, Al-Rifai N, Szczepski K, Alsuhaymi S, Rayyan S, Almahasheer H, Jaremko M, Brennan L, Lachowicz JI. You Are What You Eat: Application of Metabolomics Approaches to Advance Nutrition Research. Foods 2021; 10:1249. [PMID: 34072780 PMCID: PMC8229064 DOI: 10.3390/foods10061249] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 05/26/2021] [Accepted: 05/27/2021] [Indexed: 12/17/2022] Open
Abstract
A healthy condition is defined by complex human metabolic pathways that only function properly when fully satisfied by nutritional inputs. Poor nutritional intakes are associated with a number of metabolic diseases, such as diabetes, obesity, atherosclerosis, hypertension, and osteoporosis. In recent years, nutrition science has undergone an extraordinary transformation driven by the development of innovative software and analytical platforms. However, the complexity and variety of the chemical components present in different food types, and the diversity of interactions in the biochemical networks and biological systems, makes nutrition research a complicated field. Metabolomics science is an "-omic", joining proteomics, transcriptomics, and genomics in affording a global understanding of biological systems. In this review, we present the main metabolomics approaches, and highlight the applications and the potential for metabolomics approaches in advancing nutritional food research.
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Affiliation(s)
- Abdul-Hamid M. Emwas
- Imaging and Characterization Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia;
| | - Nahla Al-Rifai
- Environmental Technology Management (2005-2012), College for Women, Kuwait University, P.O. Box 5969, Safat 13060, Kuwait;
| | - Kacper Szczepski
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Shuruq Alsuhaymi
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Saleh Rayyan
- Chemistry Department, Birzeit University, Birzeit 627, Palestine;
| | - Hanan Almahasheer
- Department of Biology, College of Science, Imam Abdulrahman Bin Faisal University (IAU), Dammam 31441-1982, Saudi Arabia;
| | - Mariusz Jaremko
- Biological and Environmental Sciences & Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia; (K.S.); (S.A.); (M.J.)
| | - Lorraine Brennan
- Institute of Food and Health and Conway Institute, School of Agriculture & Food Science, Dublin 4, Ireland;
| | - Joanna Izabela Lachowicz
- Department of Medical Sciences and Public Health, University of Cagliari, Cittadella Universitaria, 09042 Monserrato, Italy
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32
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Use of nuclear magnetic resonance spectroscopy in diagnosis of inborn errors of metabolism. Emerg Top Life Sci 2021; 5:39-48. [PMID: 33522566 DOI: 10.1042/etls20200259] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/11/2021] [Accepted: 01/13/2021] [Indexed: 12/13/2022]
Abstract
Nuclear Magnetic Resonance (NMR) spectroscopy has been applied in many fields of science and is increasingly being considered as a tool in the clinical setting. This review examines its application for diagnosis of inborn errors of metabolism (IEMs). IEMs, whether involving deficiency in the synthesis and degradation of metabolites, or in lipoprotein metabolism, affect nearly 3% of the global population. NMR is a preferred method for comprehensive evaluation of complex biofluids such as blood or urine, as it can provide a relatively unbiased overview of all compounds that are present and does not destroy or otherwise chemically alter the sample. While current newborn screening programs take advantage of other more sensitive methods, such as mass spectrometry, NMR has advantages especially for urine analysis with respect to ease of sample preparation and the reproducibility of results. NMR spectroscopy is particularly compatible with analysis of lipoproteins because it provides information about their size and density, not easily attained by other methods, that can help the clinician to better manage patients with dyslipidemia. We believe that NMR holds great potential for expanding clinical diagnosis in the future, in the field of IEMs and beyond.
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33
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A metabolomics approach to investigate the proceedings of mitochondrial dysfunction in rats from prediabetes to diabetes. Saudi J Biol Sci 2021; 28:4762-4769. [PMID: 34354464 PMCID: PMC8324946 DOI: 10.1016/j.sjbs.2021.04.091] [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: 02/04/2021] [Revised: 04/27/2021] [Accepted: 04/28/2021] [Indexed: 01/12/2023] Open
Abstract
Diabetes mellitus (DM) is a leading cause of preventable cardiovascular disease, but the metabolic changes from prediabetes to diabetes have not been fully clarified. This study implemented a metabolomics profiling platform to investigate the variations of metabolites and to elucidate their global profiling from metabolic syndrome to DM. Methods: Male Sprague-Dawley rats (n = 44) were divided into four groups. Three groups were separately fed with a normal diet, a high-fructose diet (HF), or a high-fat (HL) diet while one group was treated with streptozotocin. The HF and HL diet were meant to induce insulin resistance, obesity, and dyslipidemia, which known to induce DM. Results: The most significant metabolic variations in the DM group’s urine samples were the reduced release of citric acid cycle intermediates, the increase in acylcarnitines, and the decrease in urea excretion, all of which indicated energy metabolism abnormalities and mitochondrial dysfunction. Overall, the metabolic analysis revealed tryptophan metabolic pathway variations in the prediabetic phase, even though the mitochondrial function remains unaffected. Conclusion: This study show that widespread methylations and impaired tryptophan metabolism occur in metabolic syndrome and are then followed by a decline in citric acid cycle intermediates, indicating mitochondrial dysfunction in diabetes.
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Key Words
- CAN, acetonitrile
- DM, diabetes mellitus
- Diabetes
- GOT, glutamate oxaloacetate transaminase
- GPT, glutamate pyruvate transaminase
- HF, high-fructose
- HL, high-fat
- HMDB, human metabolome database
- KEGG, kyoto encyclopedia of genes and genomes
- LC-MS, liquid chromatography–mass spectrometry
- Metabolic syndrome
- Metabolomics
- Methylation
- Mitochondrial dysfunction
- PCA, principal component analysis
- Prediabetes
- STZ, streptozotocin
- TC, total cholesterol
- TG, triacylglycerol
- Tryptophan
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34
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Ivan I, Ivan I, Stella MM, Stella MM, Tandarto K, Tandarto K, Budiman F, Budiman F, Joprang FS, Joprang FS. Plasmodium falciparum Breath Metabolomics (Breathomics) Analysis as a Non-Invasive Practical Method to Diagnose Malaria in Pediatric. INDONESIAN JOURNAL OF TROPICAL AND INFECTIOUS DISEASE 2021. [DOI: 10.20473/ijtid.v9i1.24069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Children under 5 years of age are particularly vulnerable to malaria. Malaria has caused 445,000 deaths worldwide. Currently, rapid diagnostic tests (RDTs) are the fastest method to diagnose malaria. However, there are limitations that exist such as low sensitivity in detecting infections with low parasitemia. Practical, non-invasive and high ability tests to detect parasite are needed to find specific biomarkers for P. falciparum infection to determine the potential of P. falciparum 4 thioether in breathomics analysis by GC-MS as a practical non-invasive method in diagnosing malaria in pediatrics. Literature reviews from Google Scholar and ProQuest were published no later than the last 5 years. The concept of breathomics is that the breath’s volatile organic compounds (VOCs) profile is altered when the health condition changes. Breath samples from individuals infected with P. falciparum malaria were taken by exhalation. Through GC-MS analysis, it was found that 4 thioether compounds (allyl methyl sulfide (AMS), 1-methylthio-propane, (Z) -1-methylthio-1-propene and (E) -1-methylthio-1-propene) underwent a significant change in concentration during the infection. Based on experiments conducted on mice and humans, the breathomics method is known to be able to detect parasitemia levels up to <100 parasites/µL, has a sensitivity level of about 71% to 91% and a specificity of about 75% to 94%. The discovery of 4 thioether compounds by GC-MS is a strong indication of malaria, because it has the potential for high sensitivity and specificity, and the detection power exceeds the ability of RDTs.
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35
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Standage SW, Xu S, Brown L, Ma Q, Koterba A, Lahni P, Devarajan P, Kennedy MA. NMR-based serum and urine metabolomic profile reveals suppression of mitochondrial pathways in experimental sepsis-associated acute kidney injury. Am J Physiol Renal Physiol 2021; 320:F984-F1000. [PMID: 33843271 DOI: 10.1152/ajprenal.00582.2020] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Sepsis-associated acute kidney injury (SA-AKI) is a significant problem in the critically ill that causes increased death. Emerging understanding of this disease implicates metabolic dysfunction in its pathophysiology. This study sought to identify specific metabolic pathways amenable to potential therapeutic intervention. Using a murine model of sepsis, blood and tissue samples were collected for assessment of systemic inflammation, kidney function, and renal injury. Nuclear magnetic resonance (NMR)-based metabolomics quantified dozens of metabolites in serum and urine that were subsequently submitted to pathway analysis. Kidney tissue gene expression analysis confirmed the implicated pathways. Septic mice had elevated circulating levels of inflammatory cytokines and increased levels of blood urea nitrogen and creatinine, indicating both systemic inflammation and poor kidney function. Renal tissue showed only mild histological evidence of injury in sepsis. NMR metabolomic analysis identified the involvement of mitochondrial pathways associated with branched-chain amino acid metabolism, fatty acid oxidation, and de novo NAD+ biosynthesis in SA-AKI. Renal cortical gene expression of enzymes associated with those pathways was predominantly suppressed. Renal cortical fatty acid oxidation rates were lower in septic mice with high inflammation, and this correlated with higher serum creatinine levels. Similar to humans, septic mice demonstrated renal dysfunction without significant tissue disruption, pointing to metabolic derangement as an important contributor to SA-AKI pathophysiology. Metabolism of branched-chain amino acid and fatty acids and NAD+ synthesis, which all center on mitochondrial function, appeared to be suppressed. Developing interventions to activate these pathways may provide new therapeutic opportunities for SA-AKI.NEW & NOTEWORTHY NMR-based metabolomics revealed disruptions in branched-chain amino acid metabolism, fatty acid oxidation, and NAD+ synthesis in sepsis-associated acute kidney injury. These pathways represent essential processes for energy provision in renal tubular epithelial cells and may represent targetable mechanisms for therapeutic intervention.
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Affiliation(s)
- Stephen W Standage
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.,Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - Shenyuan Xu
- Department of Chemistry and Biochemistry, Miami University, Oxford, Ohio
| | - Lauren Brown
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Qing Ma
- Division of Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Adeleine Koterba
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Patrick Lahni
- Division of Critical Care Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Prasad Devarajan
- Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio.,Division of Nephrology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio
| | - Michael A Kennedy
- Department of Chemistry and Biochemistry, Miami University, Oxford, Ohio
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Lima AR, Pinto J, Amaro F, Bastos MDL, Carvalho M, Guedes de Pinho P. Advances and Perspectives in Prostate Cancer Biomarker Discovery in the Last 5 Years through Tissue and Urine Metabolomics. Metabolites 2021; 11:181. [PMID: 33808897 PMCID: PMC8003702 DOI: 10.3390/metabo11030181] [Citation(s) in RCA: 37] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/10/2021] [Accepted: 03/17/2021] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (PCa) is the second most diagnosed cancer in men worldwide. For its screening, serum prostate specific antigen (PSA) test has been largely performed over the past decade, despite its lack of accuracy and inability to distinguish indolent from aggressive disease. Metabolomics has been widely applied in cancer biomarker discovery due to the well-known metabolic reprogramming characteristic of cancer cells. Most of the metabolomic studies have reported alterations in urine of PCa patients due its noninvasive collection, but the analysis of prostate tissue metabolome is an ideal approach to disclose specific modifications in PCa development. This review aims to summarize and discuss the most recent findings from tissue and urine metabolomic studies applied to PCa biomarker discovery. Eighteen metabolites were found consistently altered in PCa tissue among different studies, including alanine, arginine, uracil, glutamate, fumarate, and citrate. Urine metabolomic studies also showed consistency in the dysregulation of 15 metabolites and, interestingly, alterations in the levels of valine, taurine, leucine and citrate were found in common between urine and tissue studies. These findings unveil that the impact of PCa development in human metabolome may offer a promising strategy to find novel biomarkers for PCa diagnosis.
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Affiliation(s)
- Ana Rita Lima
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Joana Pinto
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Filipa Amaro
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Maria de Lourdes Bastos
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Márcia Carvalho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
- UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa, Praça Nove de Abril, 349, 4249-004 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Rua Carlos da Maia, 296, 4200-150 Porto, Portugal
| | - Paula Guedes de Pinho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
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37
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Baima G, Corana M, Iaderosa G, Romano F, Citterio F, Meoni G, Tenori L, Aimetti M. Metabolomics of gingival crevicular fluid to identify biomarkers for periodontitis: A systematic review with meta-analysis. J Periodontal Res 2021; 56:633-645. [PMID: 33710624 DOI: 10.1111/jre.12872] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/08/2021] [Accepted: 02/19/2021] [Indexed: 12/12/2022]
Abstract
The present systematic review aimed to examine periodontitis-specific biomarkers in the gingival crevicular fluid (GCF) that could have a diagnostic relevance, and to provide a qualitative assessment of the current literature. Metabolites are reliable indicators of pathophysiological statuses, and their quantification in the GCF can provide an outlook of the changes associated with periodontitis and have diagnostic value. Relevant studies identified from PubMed, Embase, Cochrane Library, and Scopus databases were examined to answer the following PECO question: "In systemically healthy individuals, can concentration of specific metabolites in the GCF be used to discriminate subjects with healthy periodontium (H) or gingivitis from patients with periodontitis (P) and which is the diagnostic accuracy?" Quality of included studies was rated using a modified version of the QUADOMICS tool. Meta-analysis was conducted whenever possible. After the screening of 1,554 titles, 15 studies were selected, with sample size ranging from 30 to 93 subjects. Eleven studies performed targeted metabolomics analysis and provided data for 10 metabolites. Among the most consistent markers, malondialdehyde levels were found higher in the P group compared with H group (SMD = 2.86; 95% CI: 1.64, 4.08). Also, a significant increase of 8-hydroxy-deoxyguanosine, 4-hydroxynonenal, and neopterin was detected in periodontally diseased sites, while glutathione showed an inverse trend. When considering data from untargeted metabolomic analysis in four studies, more than 40 metabolites were found significantly discriminant, mainly related to amino acids and lipids degradation pathways. Notably, only one study reported measures of diagnostic accuracy. Several metabolites were differentially expressed in GCF of subjects across different periodontal conditions, having a major potential for investigating periodontal pathophysiology and for site-specific diagnosis. Oxidative stress-related molecules, such as malondialdehyde and 8-hydroxy-deoxyguanosine, were the most consistently associated to periodontitis (PROSPERO CRD42020188482).
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Affiliation(s)
- Giacomo Baima
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Matteo Corana
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Giovanni Iaderosa
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Federica Romano
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Filippo Citterio
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
| | - Gaia Meoni
- Giotto Biotech S.R.L, Sesto Fiorentino, Florence, Italy
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Florence, Italy.,Department of Chemistry, University of Florence, Sesto Fiorentino, Florence, Italy
| | - Mario Aimetti
- Department of Surgical Sciences, C.I.R. Dental School, University of Turin, Turin, Italy
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38
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Chandra K, Al-Harthi S, Sukumaran S, Almulhim F, Emwas AH, Atreya HS, Jaremko Ł, Jaremko M. NMR-based metabolomics with enhanced sensitivity. RSC Adv 2021; 11:8694-8700. [PMID: 35423404 PMCID: PMC8695211 DOI: 10.1039/d1ra01103k] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Accepted: 02/17/2021] [Indexed: 12/15/2022] Open
Abstract
NMR-based metabolomics, which emerged along with mass spectrometry techniques, is the preferred method for studying metabolites in medical research and food industries. However, NMR techniques suffer from inherently low sensitivity, regardless of their superior reproducibility. To overcome this, we made two beneficial modifications: we detuned the probe to reach a position called "Spin Noise Tuning Optimum" (SNTO), and we replaced the conventional cylindrical 5 mm NMR tube with an electric field component-optimized shaped tube. We found that concerted use of both modifications can increase the sensitivity (signal to noise ratio per unit volume) and detection of metabolites and decrease the measurement time by order of magnitude. In this study, we demonstrate and discuss the achieved signal enhancement of metabolites on model non-human (bovine serum, amino acid standard mixture) and human urine samples.
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Affiliation(s)
- Kousik Chandra
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) 23955-6900 Thuwal Saudi Arabia
| | - Samah Al-Harthi
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) 23955-6900 Thuwal Saudi Arabia
| | - Sujeesh Sukumaran
- NMR Research Centre, Indian Institute of Science Bangalore 560012 India
| | - Fatimah Almulhim
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) 23955-6900 Thuwal Saudi Arabia
| | - Abdul-Hamid Emwas
- Core Laboratories, King Abdullah University of Science and Technology (KAUST) 23955-6900 Thuwal Saudi Arabia
| | | | - Łukasz Jaremko
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) 23955-6900 Thuwal Saudi Arabia
| | - Mariusz Jaremko
- Biological and Environmental Science and Engineering (BESE), King Abdullah University of Science and Technology (KAUST) 23955-6900 Thuwal Saudi Arabia
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39
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Zhang G, Mandal R, Wishart DS, Ametaj BN. A Multi-Platform Metabolomics Approach Identifies Urinary Metabolite Signatures That Differentiate Ketotic From Healthy Dairy Cows. Front Vet Sci 2021; 8:595983. [PMID: 33575283 PMCID: PMC7871000 DOI: 10.3389/fvets.2021.595983] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Accepted: 01/04/2021] [Indexed: 12/19/2022] Open
Abstract
Ketosis and subclinical ketosis are widespread among dairy cows especially after calving. Etiopathology of ketosis has been related to negative energy balance. The objective of this study was to investigate metabolite fingerprints in the urine of pre-ketotic, ketotic, and post-ketotic cows to identify potential metabolite alterations that can be used in the future to identify susceptible cows for ketosis and metabolic pathways involved in the development of disease. In this study, NMR, DI/LC-MS/MS, and GC-MS-based metabolomics were used to analyze urine samples from 6 cows diagnosed with ketosis and 20 healthy control (CON) cows at -8 and -4 weeks prepartum, the week (+1 to +3) of ketosis diagnosis, and at +4 and +8 weeks after parturition. Univariate and multivariate analyses were used to screen metabolite panels that can identify cows at their pre-ketotic stage. A total of 54, 42, 48, 16, and 31 differential metabolites between the ketotic and CON cows were identified at -8 and -4 weeks prepartum, ketosis week, and at +4, and +8 weeks postpartum, respectively. Variable importance in projection (VIP) plots ranked the most significant differential metabolites, which differentiated ketotic cows from the CON ones. Additionally, several metabolic pathways that are related to ketosis were identified. Moreover, two promising metabolite panels were identified which clearly separated ketotic from CON cows with excellent level of sensitivity and specificity. Overall, multiple urinary metabolite alterations were identified in pre-ketotic, ketotic, and post-ketotic cows. The metabolite panels identified need to be validated in the future in a larger cohort of animals.
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Affiliation(s)
- Guanshi Zhang
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
| | - Rupasri Mandal
- Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB, Canada
| | - David S Wishart
- Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, AB, Canada
| | - Burim N Ametaj
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada
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Lankelma J, van Iperen DJ, van der Sluis PJ. Towards using high-performance liquid chromatography at home. J Chromatogr A 2021; 1639:461925. [PMID: 33556779 DOI: 10.1016/j.chroma.2021.461925] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 01/13/2021] [Accepted: 01/16/2021] [Indexed: 12/26/2022]
Abstract
In order to make high-performance liquid chromatography (HPLC) more widely available at home and in small-scale settings, we have simplified two of its most costly modules, namely the pump and the detector. This should make the setup affordable for home or small laboratory use. A manual HPLC pump was constructed so as to fit into a caulk gun from a local hardware store enabling the generation of 100-150 bar of pressure. In order to limit the pressure drop during the running of a chromatogram, a pulse dampener was developed. We further modified the electrochemical detection (ECD) system so as to use a cheap boron-doped diamond electrode with an overlay of thin filter paper, causing an eluent flow over the electrode by wicking and gravity. Both the pump and the detector are at least ten times cheaper than conventional HPLC modules. Using a home-packed JupiterⓇ Proteo reversed phase capillary column we show how this low-cost HPLC system generates well resolving chromatograms after direct injection of fresh urine. The ECD did not lose its sensitivity during regular use over more than half a year. For homovanillic acid (HVA), which is of medical interest, we measured a linear dynamic range of two orders of magnitude, a detection limit of HVA in the injected sample of 3 μM and a coefficient of variation <10%. The contribution to peak broadening by the detector was much smaller than the contributions by the injector and by the column. After consumption of table olives containing hydroxytyrosol (HT), its metabolite HVA in the corresponding urine could be measured quantitatively. An approach to quantify HT in table olives is presented, as well. This method provides a new tool for investigating physiology of oneself or of dear ones at home.
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Affiliation(s)
- Jan Lankelma
- Department of Molecular Cell Physiology, VU University Amsterdam, O
- 2 Lab Building, De Boelelaan 1108, 1081 HZ Amsterdam, The Netherlands; Foundation for Chromatography at home, Demonstrator Lab, Amsterdam, The Netherlands.
| | - Dirck J van Iperen
- Department of Fine mechanics and Engineering VU - Bèta, VU University Amsterdam, The Netherlands
| | - Paul J van der Sluis
- Foundation for Chromatography at home, Demonstrator Lab, Amsterdam, The Netherlands
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Abstract
Nuclear magnetic resonance (NMR) spectroscopy is a major analytical method used in the growing field of metabolomics. Although NMR is relatively less sensitive than mass spectrometry, this analytical platform has numerous characteristics including its high reproducibility and quantitative abilities, its nonselective and noninvasive nature, and the ability to identify unknown metabolites in complex mixtures and trace the downstream products of isotope labeled substrates ex vivo, in vivo, or in vitro. Metabolomic analysis of highly complex biological mixtures has benefitted from the advances in both NMR data acquisition and analysis methods. Although metabolomics applications span a wide range of disciplines, a majority has focused on understanding, preventing, diagnosing, and managing human diseases. This chapter describes NMR-based methods relevant to the rapidly expanding metabolomics field.
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Scarsella E, Segato J, Zuccaccia D, Swanson KS, Stefanon B. An application of nuclear magnetic resonance spectroscopy to study faecal canine metabolome. ITALIAN JOURNAL OF ANIMAL SCIENCE 2021. [DOI: 10.1080/1828051x.2021.1925602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Elisa Scarsella
- Dipartimento di Scienze Agroalimentari, Ambientali e Animali, Università di Udine, Udine, Italy
| | - Jacopo Segato
- Dipartimento di Scienze Agroalimentari, Ambientali e Animali, Università di Udine, Udine, Italy
| | - Daniele Zuccaccia
- Dipartimento di Scienze Agroalimentari, Ambientali e Animali, Università di Udine, Udine, Italy
| | - Kelly S. Swanson
- Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Bruno Stefanon
- Dipartimento di Scienze Agroalimentari, Ambientali e Animali, Università di Udine, Udine, Italy
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Saigusa D, Matsukawa N, Hishinuma E, Koshiba S. Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics. Drug Metab Pharmacokinet 2020; 37:100373. [PMID: 33631535 DOI: 10.1016/j.dmpk.2020.11.008] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 12/12/2022]
Abstract
Metabolomics has been widely used for investigating the biological functions of disease expression and has the potential to discover biomarkers in circulating biofluids or tissue extracts that reflect in phenotypic changes. Metabolic profiling has advantages because of the use of unbiased techniques, including multivariate analysis, and has been applied in pharmacological studies to predict therapeutic and adverse reactions of drugs, which is called pharmacometabolomics (PMx). Nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based metabolomics has contributed to the discovery of recent disease biomarkers; however, the optimal strategy for the study purpose must be selected from many established protocols, methodologies and analytical platforms. Additionally, information on molecular localization in tissue is essential for further functional analyses related to therapeutic and adverse effects of drugs in the process of drug development. MS imaging (MSI) is a promising technology that can visualize molecules on tissue surfaces without labeling and thus provide localized information. This review summarizes recent uses of MS-based global and wide-targeted metabolomics technologies and the advantages of the MSI approach for PMx and highlights the PMx technique for the biomarker discovery of adverse drug effects.
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Affiliation(s)
- Daisuke Saigusa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.
| | - Naomi Matsukawa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.
| | - Eiji Hishinuma
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan.
| | - Seizo Koshiba
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan.
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Duarte D, Castro B, Pereira JL, Marques JF, Costa AL, Gil AM. Evaluation of Saliva Stability for NMR Metabolomics: Collection and Handling Protocols. Metabolites 2020; 10:E515. [PMID: 33352779 PMCID: PMC7766053 DOI: 10.3390/metabo10120515] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 12/14/2020] [Accepted: 12/16/2020] [Indexed: 12/15/2022] Open
Abstract
Maintaining a salivary metabolic profile upon sample collection and preparation is determinant in metabolomics. Nuclear magnetic resonance (NMR) spectroscopy was used to identify metabolite changes during short-term storage, at room temperature (RT)/4 °C/-20 °C, and after sample preparation, at RT/4 °C (mimicking typical clinical/laboratory settings). Interestingly, significant metabolic inter-individual and inter-day variability were noted, probably determining sample stability to some extent. After collection, no changes were noted at -20 °C (at least for 4 weeks). RT storage induced decreases in methylated macromolecules (6 h); lactate (8 h); alanine (12 h); galactose, hypoxanthine, pyruvate (24 h); sarcosine, betaine, choline, N-acetyl-glycoproteins (48 h), while acetate increased (48 h). Less, but different, changes were observed at 4 °C, suggesting different oral and microbial status at different temperatures (with a possible contribution from inter-individual and inter-day variability), and identifying galactose, hypoxanthine, and possibly, choline esters, as potential general stability indicators. After preparation, addition of NaN3 did not impact significantly on saliva stabilization, neither at RT nor at 4 °C, although its absence was accompanied by slight increases in fucose (6.5 h) and proline (8 h) at RT, and in xylose (24 h) at 4 °C. The putative metabolic origins of the above variations are discussed, with basis on the salivary microbiome. In summary, after collection, saliva can be stored at RT/4 °C for up to 6 h and at -20 °C for at least 4 weeks. Upon preparation for NMR analysis, samples are highly stable at 25 °C up to 8 h and at 4 °C up to 48 h, with NaN3 addition preventing possible early changes in fucose, proline (6-8 h), and xylose (24 h) levels.
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Affiliation(s)
- Daniela Duarte
- CICECO—Department of Chemistry, Aveiro Institute of Materials, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (D.D.); (B.C.)
| | - Beatriz Castro
- CICECO—Department of Chemistry, Aveiro Institute of Materials, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (D.D.); (B.C.)
| | - Joana Leonor Pereira
- Dentistry Department, Faculty of Medicine, Institute of Paediatric and Preventive Dentistry, University of Coimbra, 3000-075 Coimbra, Portugal; (J.L.P.); (A.L.C.)
| | - Joana Faria Marques
- GIBBO-Oral Biology and Biochemistry Research Group, CEMBDE-COCHRANE Portugal—Faculty of Dental Medicine, Universidade de Lisboa, 1649-003 Lisboa, Portugal;
| | - Ana Luísa Costa
- Dentistry Department, Faculty of Medicine, Institute of Paediatric and Preventive Dentistry, University of Coimbra, 3000-075 Coimbra, Portugal; (J.L.P.); (A.L.C.)
| | - Ana M. Gil
- CICECO—Department of Chemistry, Aveiro Institute of Materials, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal; (D.D.); (B.C.)
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Ashrafian H, Sounderajah V, Glen R, Ebbels T, Blaise BJ, Kalra D, Kultima K, Spjuth O, Tenori L, Salek RM, Kale N, Haug K, Schober D, Rocca-Serra P, O'Donovan C, Steinbeck C, Cano I, de Atauri P, Cascante M. Metabolomics: The Stethoscope for the Twenty-First Century. Med Princ Pract 2020; 30:301-310. [PMID: 33271569 PMCID: PMC8436726 DOI: 10.1159/000513545] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/29/2020] [Indexed: 11/19/2022] Open
Abstract
Metabolomics encompasses the systematic identification and quantification of all metabolic products in the human body. This field could provide clinicians with novel sets of diagnostic biomarkers for disease states in addition to quantifying treatment response to medications at an individualized level. This literature review aims to highlight the technology underpinning metabolic profiling, identify potential applications of metabolomics in clinical practice, and discuss the translational challenges that the field faces. We searched PubMed, MEDLINE, and EMBASE for primary and secondary research articles regarding clinical applications of metabolomics. Metabolic profiling can be performed using mass spectrometry and nuclear magnetic resonance-based techniques using a variety of biological samples. This is carried out in vivo or in vitro following careful sample collection, preparation, and analysis. The potential clinical applications constitute disruptive innovations in their respective specialities, particularly oncology and metabolic medicine. Outstanding issues currently preventing widespread clinical use are scalability of data interpretation, standardization of sample handling practice, and e-infrastructure. Routine utilization of metabolomics at a patient and population level will constitute an integral part of future healthcare provision.
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Affiliation(s)
- Hutan Ashrafian
- Institute of Global Health Innovation and Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Viknesh Sounderajah
- Institute of Global Health Innovation and Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Robert Glen
- Institute of Global Health Innovation and Department of Surgery and Cancer, Imperial College London, London, United Kingdom
- Centre for Molecular Informatics, Department of Chemistry, University of Cambridge, Cambridge, United Kingdom
| | - Timothy Ebbels
- Institute of Global Health Innovation and Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Benjamin J. Blaise
- Institute of Global Health Innovation and Department of Surgery and Cancer, Imperial College London, London, United Kingdom
| | - Dipak Kalra
- Department of Medical Informatics and Statistics, University of Ghent, Ghent, Belgium
| | - Kim Kultima
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ola Spjuth
- Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Leonardo Tenori
- Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy
| | - Reza M. Salek
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Namrata Kale
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Kenneth Haug
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Daniel Schober
- Department of Stress and Developmental Biology, Leibniz Institute of Plant Biochemistry, Halle (Saale), Germany
| | - Philippe Rocca-Serra
- Department of Engineering Science, Oxford e-Research Centre, University of Oxford, Oxford, United Kingdom
| | - Claire O'Donovan
- European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
| | - Christoph Steinbeck
- Institute for Inorganic and Analytical Chemistry, Friedrich-Schiller-University, Jena, Germany
| | - Isaac Cano
- Hospital Clinic de Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Pedro de Atauri
- Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona and CIBERHD (CIBER de Enfermedades hepáticas y digestivas), Barcelona, Spain
| | - Marta Cascante
- Department of Biochemistry and Molecular Biomedicine, Faculty of Biology, Universitat de Barcelona and CIBERHD (CIBER de Enfermedades hepáticas y digestivas), Barcelona, Spain
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Park SJ, Choi JW. Brain energy metabolism and multiple sclerosis: progress and prospects. Arch Pharm Res 2020; 43:1017-1030. [PMID: 33119885 DOI: 10.1007/s12272-020-01278-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 10/21/2020] [Indexed: 02/07/2023]
Abstract
Multiple sclerosis (MS) is an autoimmune disease accompanied with nerve pain and paralysis. Although various pathogenic causes of MS have been suggested, including genetic and environmental factors, how MS occurs remains unclear. Moreover, MS should be diagnosed based on clinical experiences because of no disease-specific biomarker and currently available treatments for MS just can reduce relapsing frequency or severity with little effects on disease disability. Therefore, more efforts are required to identify pathophysiology of MS and diagnosis markers. Recent evidence indicates another aspect of MS pathogenesis, energy failure in the central nervous system (CNS). For instance, inflammation that is a characteristic MS symptom and occurs frequently in the CNS of MS patients can result into energy failure in mitochondria and cytosol. Indeed, metabolomics studies for MS have reported energy failure in oxidative phosphorylation and alteration of aerobic glycolysis. Therefore, studies on the metabolism in the CNS may provide another insight for understanding complexity of MS and pathogenesis, which would facilitate the discovery of promising strategies for developing therapeutics to treat MS. This review will provide an overview on recent progress of metabolomic studies for MS, with a focus on the fluctuation of energy metabolism in MS.
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Affiliation(s)
- Sung Jean Park
- College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 Hambakmoero, Yeonsu-gu, Incheon, 21936, Korea.
| | - Ji Woong Choi
- College of Pharmacy and Gachon Institute of Pharmaceutical Sciences, Gachon University, 191 Hambakmoero, Yeonsu-gu, Incheon, 21936, Korea.
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Sen C, Ray PR, Bhattacharyya M. A critical review on metabolomic analysis of milk and milk products. INT J DAIRY TECHNOL 2020. [DOI: 10.1111/1471-0307.12745] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Chandrakanta Sen
- Department of Dairy Chemistry West Bengal University of Animal and Fishery Sciences Mohanpur Nadia West Bengal 741252 India
| | - Pinaki Ranjan Ray
- Department of Dairy Chemistry West Bengal University of Animal and Fishery Sciences Mohanpur Nadia West Bengal 741252 India
| | - Mahasweta Bhattacharyya
- Department of Dairy Chemistry West Bengal University of Animal and Fishery Sciences Mohanpur Nadia West Bengal 741252 India
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48
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Ghini V, Tenori L, Pane M, Amoruso A, Marroncini G, Squarzanti DF, Azzimonti B, Rolla R, Savoia P, Tarocchi M, Galli A, Luchinat C. Effects of Probiotics Administration on Human Metabolic Phenotype. Metabolites 2020; 10:metabo10100396. [PMID: 33036487 PMCID: PMC7601401 DOI: 10.3390/metabo10100396] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 09/24/2020] [Accepted: 10/01/2020] [Indexed: 02/06/2023] Open
Abstract
The establishment of the beneficial interactions between the host and its microbiota is essential for the correct functioning of the organism, since microflora alterations can lead to many diseases. Probiotics improve balanced microbial communities, exerting substantial health-promoting effects. Here we monitored the molecular outcomes, obtained by gut microflora modulation through probiotic treatment, on human urine and serum metabolic profiles, with a metabolomic approach. Twenty-two subjects were enrolled in the study and administered with two different probiotic types, both singularly and in combination, for 8 weeks. Urine and serum samples were collected before and during the supplementation and were analyzed by nuclear magnetic resonance (NMR) spectroscopy and statistical analyses. After eight weeks of treatment, probiotics deeply influence the urinary metabolic profiles of the volunteers, without significantly altering their single phenotypes. Anyway, bacteria supplementation tends to reduce the differences in metabolic phenotypes among individuals. Overall, the effects are recipient-dependent, and in some individuals, robust effects are already well visible after four weeks. Modifications in metabolite levels, attributable to each type of probiotic administration, were also monitored. Metabolomic analysis of biofluids turns out to be a powerful technique to monitor the dynamic interactions between the microflora and the host, and the individual response to probiotic assumption.
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Affiliation(s)
- Veronica Ghini
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), 50019 Sesto Fiorentino, Italy;
| | - Leonardo Tenori
- Magnetic Resonance Center (CERM), University of Florence, 50019 Sesto Fiorentino, Italy;
- Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy
| | - Marco Pane
- Probiotical S.p.A., 28100 Novara, Italy; (M.P.); (A.A.)
| | | | - Giada Marroncini
- Department of Experimental and Clinical Biochemical Sciences “Mario Serio”, University of Florence, 50100 Firenze, Italy; (G.M.); (M.T.); (A.G.)
| | - Diletta Francesca Squarzanti
- Department of Health Sciences (DiSS), University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy; (D.F.S.); (B.A.); (R.R.); (P.S.)
- Center for Translational Research on Autoimmune and Allergic Diseases (CAAD), DiSS, UPO, Corso Trieste 15/A, 28100 Novara, Italy
| | - Barbara Azzimonti
- Department of Health Sciences (DiSS), University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy; (D.F.S.); (B.A.); (R.R.); (P.S.)
- Center for Translational Research on Autoimmune and Allergic Diseases (CAAD), DiSS, UPO, Corso Trieste 15/A, 28100 Novara, Italy
| | - Roberta Rolla
- Department of Health Sciences (DiSS), University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy; (D.F.S.); (B.A.); (R.R.); (P.S.)
- Clinical Chemistry Unit, Azienda Ospedaliero Universitaria Maggiore della Carità, Corso Mazzini 18, 28100 Novara, Italy
| | - Paola Savoia
- Department of Health Sciences (DiSS), University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy; (D.F.S.); (B.A.); (R.R.); (P.S.)
- SCDU Dermatology, AOU Maggiore della Carità, 28100 Novara, Italy
| | - Mirko Tarocchi
- Department of Experimental and Clinical Biochemical Sciences “Mario Serio”, University of Florence, 50100 Firenze, Italy; (G.M.); (M.T.); (A.G.)
| | - Andrea Galli
- Department of Experimental and Clinical Biochemical Sciences “Mario Serio”, University of Florence, 50100 Firenze, Italy; (G.M.); (M.T.); (A.G.)
| | - Claudio Luchinat
- Consorzio Interuniversitario Risonanze Magnetiche di Metallo Proteine (CIRMMP), 50019 Sesto Fiorentino, Italy;
- Magnetic Resonance Center (CERM), University of Florence, 50019 Sesto Fiorentino, Italy;
- Department of Chemistry, University of Florence, 50019 Sesto Fiorentino, Italy
- Correspondence: ; Tel.: +39-055-457-4296
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Liu Z, de Vries B, Gerritsen J, Smidt H, Zoetendal EG. Microbiome-based stratification to guide dietary interventions to improve human health. Nutr Res 2020; 82:1-10. [DOI: 10.1016/j.nutres.2020.07.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2020] [Accepted: 07/10/2020] [Indexed: 12/11/2022]
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50
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Xu X, Qu R, Wu W, Jiang C, Shao D, Shi J. Applications of microbial co-cultures in polyketides production. J Appl Microbiol 2020; 130:1023-1034. [PMID: 32897644 DOI: 10.1111/jam.14845] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 07/28/2020] [Accepted: 08/31/2020] [Indexed: 12/21/2022]
Abstract
Polyketides are a large group of natural biomolecules that are normally produced by bacteria, fungi and plants. These molecules have clinical importance due to their anti-cancer, anti-microbial, anti-oxidant and anti-inflammatory properties. Polyketides are biosynthesized from units of acyl-CoA by different polyketide synthases (PKSs), which display wide diversity of functional domains and mechanisms of action between fungi and bacteria. Co-culture of different micro-organisms can produce novel products distinctive from those produced during single cultures. This study compared the new polyketides produced in such co-culture systems and discusses aspects of the cultivation systems, product structures and identification techniques. Current results indicate that the formation of new polyketides may be the result of activation of previously silent PKSs genes induced during co-culture. This review indicated a potential way to produce pure therapeutic polyketides by microbial fermentation and a potential way to develop functional foods and agricultural products using co-co-culture of different micro-organisms. It also pointed out a new perspective for studies on the process of functional foods, especially those involving multiple micro-organisms.
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Affiliation(s)
- X Xu
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - R Qu
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - W Wu
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - C Jiang
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - D Shao
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
| | - J Shi
- Key Laboratory for Space Bioscience and Biotechnology, School of Life Sciences, Northwestern Polytechnical University, Xi'an, China
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