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Razavi SA, Khorsand B, Salehipour P, Hedayati M. Metabolite signature of human malignant thyroid tissue: A systematic review and meta-analysis. Cancer Med 2024; 13:e7184. [PMID: 38646957 PMCID: PMC11033922 DOI: 10.1002/cam4.7184] [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: 08/19/2023] [Revised: 02/13/2024] [Accepted: 03/26/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND Thyroid cancer (TC) is the predominant malignancy within the endocrine system. However, the standard method for TC diagnosis lacks the capability to identify the pathological condition of all thyroid lesions. The metabolomics approach has the potential to manage this problem by identifying differential metabolites. AIMS This study conducted a systematic review and meta-analysis of the NMR-based metabolomics studies in order to identify significant altered metabolites associated with TC. METHODS A systematic search of published literature in any language in three databases including Embase, PubMed, and Scopus was conducted. Out of 353 primary articles, 12 studies met the criteria for inclusion in the systematic review. Among these, five reports belonging to three articles were eligible for meta-analysis. The correlation coefficient of the orthogonal partial least squares discriminant analysis, a popular model in the multivariate statistical analysis of metabolomic data, was chosen for meta-analysis. The altered metabolites were chosen based on the fact that they had been found in at least three studies. RESULTS In total, 49 compounds were identified, 40 of which were metabolites. The increased metabolites in thyroid lesions compared normal samples included lactate, taurine, alanine, glutamic acid, glutamine, leucine, lysine, phenylalanine, serine, tyrosine, valine, choline, glycine, and isoleucine. Lipids were the decreased compounds in thyroid lesions. Lactate and alanine were increased in malignant versus benign thyroid lesions, while, myo-inositol, scyllo-inositol, citrate, choline, and phosphocholine were found to be decreased. The meta-analysis yielded significant results for three metabolites of lactate, alanine, and citrate in malignant versus benign specimens. DISCUSSION In this study, we provided a concise summary of 12 included metabolomic studies, making it easier for future researchers to compare their results with the prior findings. CONCLUSION It appears that the field of TC metabolomics will experience notable advancement, leading to the discovery of trustworthy diagnostic and prognostic biomarkers.
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Affiliation(s)
- S. Adeleh Razavi
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
| | - Babak Khorsand
- Department of NeurologyUniversity of CaliforniaIrvineCaliforniaUSA
- Department of Computer Engineering, Faculty of EngineeringFerdowsi University of MashhadMashhadIran
| | - Pouya Salehipour
- Department of Medical Genetics, School of MedicineTehran University of Medical SciencesTehranIran
| | - Mehdi Hedayati
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine SciencesShahid Beheshti University of Medical SciencesTehranIran
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2
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Peng Y, Zhang Z, He L, Li C, Liu M. NMR spectroscopy for metabolomics in the living system: recent progress and future challenges. Anal Bioanal Chem 2024; 416:2319-2334. [PMID: 38240793 PMCID: PMC10950998 DOI: 10.1007/s00216-024-05137-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Revised: 12/08/2023] [Accepted: 01/10/2024] [Indexed: 03/21/2024]
Abstract
Metabolism is a fundamental process that underlies human health and diseases. Nuclear magnetic resonance (NMR) techniques offer a powerful approach to identify metabolic processes and track the flux of metabolites at the molecular level in living systems. An in vitro study through in-cell NMR tracks metabolites in real time and investigates protein structures and dynamics in a state close to their most natural environment. This technique characterizes metabolites and proteins involved in metabolic pathways in prokaryotic and eukaryotic cells. In vivo magnetic resonance spectroscopy (MRS) enables whole-organism metabolic monitoring by visualizing the spatial distribution of metabolites and targeted proteins. One limitation of these NMR techniques is the sensitivity, for which a possible improved approach is through isotopic enrichment or hyperpolarization methods, including dynamic nuclear polarization (DNP) and parahydrogen-induced polarization (PHIP). DNP involves the transfer of high polarization from electronic spins of radicals to surrounding nuclear spins for signal enhancements, allowing the detection of low-abundance metabolites and real-time monitoring of metabolic activities. PHIP enables the transfer of nuclear spin polarization from parahydrogen to other nuclei for signal enhancements, particularly in proton NMR, and has been applied in studies of enzymatic reactions and cell signaling. This review provides an overview of in-cell NMR, in vivo MRS, and hyperpolarization techniques, highlighting their applications in metabolic studies and discussing challenges and future perspectives.
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Affiliation(s)
- Yun Peng
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Zeting Zhang
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Lichun He
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Conggang Li
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Maili Liu
- State Key Laboratory of Magnetic Resonance and Atomic Molecular Physics, National Center for Magnetic Resonance in Wuhan, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, 430071, China.
- Optics Valley Laboratory, Wuhan, 430074, Hubei, China.
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3
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Pavao A, Girinathan B, Peltier J, Altamirano Silva P, Dupuy B, Muti IH, Malloy C, Cheng LL, Bry L. Elucidating dynamic anaerobe metabolism with HRMAS 13C NMR and genome-scale modeling. Nat Chem Biol 2023; 19:556-564. [PMID: 36894723 PMCID: PMC10154198 DOI: 10.1038/s41589-023-01275-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 01/30/2023] [Indexed: 03/11/2023]
Abstract
Anaerobic microbial metabolism drives critical functions within global ecosystems, host-microbiota interactions, and industrial applications, yet remains ill-defined. Here we advance a versatile approach to elaborate cellular metabolism in obligate anaerobes using the pathogen Clostridioides difficile, an amino acid and carbohydrate-fermenting Clostridia. High-resolution magic angle spinning nuclear magnetic resonance (NMR) spectroscopy of C. difficile, grown with fermentable 13C substrates, informed dynamic flux balance analysis (dFBA) of the pathogen's genome-scale metabolism. Analyses identified dynamic recruitment of oxidative and supporting reductive pathways, with integration of high-flux amino acid and glycolytic metabolism at alanine's biosynthesis to support efficient energy generation, nitrogen handling and biomass generation. Model predictions informed an approach leveraging the sensitivity of 13C NMR spectroscopy to simultaneously track cellular carbon and nitrogen flow from [U-13C]glucose and [15N]leucine, confirming the formation of [13C,15N]alanine. Findings identify metabolic strategies used by C. difficile to support its rapid colonization and expansion in gut ecosystems.
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Affiliation(s)
- Aidan Pavao
- Massachusetts Host-Microbiome Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brintha Girinathan
- Massachusetts Host-Microbiome Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Ginkgo Bioworks, The Innovation and Design Building, Boston, MA, USA
| | - Johann Peltier
- Laboratoire Pathogenèse des Bactéries Anaérobies, F-75015, Institut Pasteur, Université Paris-Cité, UMR-CNRS 6047, Paris, France
- Institute for Integrative Biology of the Cell (I2BC), 91198, University of Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, France
| | - Pamela Altamirano Silva
- Centre for Investigations in Tropical Diseases, Faculty of Microbiology, University of Costa Rica, San José, Costa Rica
| | - Bruno Dupuy
- Laboratoire Pathogenèse des Bactéries Anaérobies, F-75015, Institut Pasteur, Université Paris-Cité, UMR-CNRS 6047, Paris, France
| | - Isabella H Muti
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Craig Malloy
- Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Leo L Cheng
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Lynn Bry
- Massachusetts Host-Microbiome Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Clinical Microbiology Laboratory, Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
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Cheng LL. High-resolution magic angle spinning NMR for intact biological specimen analysis: Initial discovery, recent developments, and future directions. NMR IN BIOMEDICINE 2023; 36:e4684. [PMID: 34962004 DOI: 10.1002/nbm.4684] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Revised: 12/15/2021] [Accepted: 12/20/2021] [Indexed: 06/14/2023]
Abstract
High-resolution magic angle spinning (HRMAS) NMR, an approach for intact biological material analysis discovered more than 25 years ago, has been advanced by many technical developments and applied to many biomedical uses. This article provides a history of its discovery, first by explaining the key scientific advances that paved the way for HRMAS NMR's invention, and then by turning to recent developments that have profited from applying and advancing the technique during the last 5 years. Developments aimed at directly impacting healthcare include HRMAS NMR metabolomics applications within studies of human disease states such as cancers, brain diseases, metabolic diseases, transplantation medicine, and adiposity. Here, the discussion describes recent HRMAS NMR metabolomics studies of breast cancer and prostate cancer, as well as of matching tissues with biofluids, multimodality studies, and mechanistic investigations, all conducted to better understand disease metabolic characteristics for diagnosis, opportune windows for treatment, and prognostication. In addition, HRMAS NMR metabolomics studies of plants, foods, and cell structures, along with longitudinal cell studies, are reviewed and discussed. Finally, inspired by the technique's history of discoveries and recent successes, future biomedical arenas that stand to benefit from HRMAS NMR-initiated scientific investigations are presented.
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Affiliation(s)
- Leo L Cheng
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Martinho RP, Jain MG, Frydman L. High-field ex vivo and in vivo two-dimensional nuclear magnetic resonance spectroscopy in murine brain: Resolving and exploring the molecular environment. NMR IN BIOMEDICINE 2023; 36:e4833. [PMID: 36114827 PMCID: PMC10077987 DOI: 10.1002/nbm.4833] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 09/07/2022] [Accepted: 09/14/2022] [Indexed: 06/15/2023]
Abstract
The structural and chemical complexities within the brain pose a challenge that few noninvasive techniques can tackle with the dexterity of nuclear magnetic resonance (NMR) spectroscopy. Still, even with the advent of ultrahigh fields and of cryogenically cooled coils for in vivo research, the superposition of metabolic resonances arising from the brain remains a challenge. The present study explores the potential to tackle this milieu using a combination of two-dimensional (2D) NMR techniques, implemented on murine brains in vivo at 15.2 T and ex vivo at 14.1 T. While both experiments were affected by substantial inhomogeneous broadenings conveying distinct elongated lineshapes to the cross-peaks, the ability of increased fields to resolve off-diagonal resonances was clear. A comparison between the corresponding conventional and double quantum-filtered correlated spectroscopy traces enabled an improved assignment of in vivo resonances on the basis of more sensitive ex vivo 2D acquisitions, foremost on the basis of homonuclear cross-relaxation-driven correlations for peaks resonating downfield from water, and of heteronuclear correlations at natural abundance for the upfield protons. With the aid of such 2D correlations approximately 29 metabolites could be resolved and identified. This enhanced resolution was used to explore features related to the metabolites' diffusivities, their exposure to water, and their facility to undergo magnetization transfers to amide/amine/hydroxyl resonances. Cross-peaks from main murine brain biomolecules, including choline, creatine, γ-aminobutyric acid, N-acetyl aspartate, glutamine, and glutamate, showed enhancements in several of these various features, opening interesting vistas about metabolite compartmentalization as viewed by these 2D NMR experiments.
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Affiliation(s)
- Ricardo P. Martinho
- Department of Chemical and Biological PhysicsWeizmann Institute of ScienceRehovotIsrael
| | - Mukul G. Jain
- Department of Chemical and Biological PhysicsWeizmann Institute of ScienceRehovotIsrael
| | - Lucio Frydman
- Department of Chemical and Biological PhysicsWeizmann Institute of ScienceRehovotIsrael
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6
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Theillet FX, Luchinat E. In-cell NMR: Why and how? PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2022; 132-133:1-112. [PMID: 36496255 DOI: 10.1016/j.pnmrs.2022.04.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 04/19/2022] [Accepted: 04/27/2022] [Indexed: 06/17/2023]
Abstract
NMR spectroscopy has been applied to cells and tissues analysis since its beginnings, as early as 1950. We have attempted to gather here in a didactic fashion the broad diversity of data and ideas that emerged from NMR investigations on living cells. Covering a large proportion of the periodic table, NMR spectroscopy permits scrutiny of a great variety of atomic nuclei in all living organisms non-invasively. It has thus provided quantitative information on cellular atoms and their chemical environment, dynamics, or interactions. We will show that NMR studies have generated valuable knowledge on a vast array of cellular molecules and events, from water, salts, metabolites, cell walls, proteins, nucleic acids, drugs and drug targets, to pH, redox equilibria and chemical reactions. The characterization of such a multitude of objects at the atomic scale has thus shaped our mental representation of cellular life at multiple levels, together with major techniques like mass-spectrometry or microscopies. NMR studies on cells has accompanied the developments of MRI and metabolomics, and various subfields have flourished, coined with appealing names: fluxomics, foodomics, MRI and MRS (i.e. imaging and localized spectroscopy of living tissues, respectively), whole-cell NMR, on-cell ligand-based NMR, systems NMR, cellular structural biology, in-cell NMR… All these have not grown separately, but rather by reinforcing each other like a braided trunk. Hence, we try here to provide an analytical account of a large ensemble of intricately linked approaches, whose integration has been and will be key to their success. We present extensive overviews, firstly on the various types of information provided by NMR in a cellular environment (the "why", oriented towards a broad readership), and secondly on the employed NMR techniques and setups (the "how", where we discuss the past, current and future methods). Each subsection is constructed as a historical anthology, showing how the intrinsic properties of NMR spectroscopy and its developments structured the accessible knowledge on cellular phenomena. Using this systematic approach, we sought i) to make this review accessible to the broadest audience and ii) to highlight some early techniques that may find renewed interest. Finally, we present a brief discussion on what may be potential and desirable developments in the context of integrative studies in biology.
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Affiliation(s)
- Francois-Xavier Theillet
- Université Paris-Saclay, CEA, CNRS, Institute for Integrative Biology of the Cell (I2BC), 91198 Gif-sur-Yvette, France.
| | - Enrico Luchinat
- Dipartimento di Scienze e Tecnologie Agro-Alimentari, Alma Mater Studiorum - Università di Bologna, Piazza Goidanich 60, 47521 Cesena, Italy; CERM - Magnetic Resonance Center, and Neurofarba Department, Università degli Studi di Firenze, 50019 Sesto Fiorentino, Italy
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7
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Sanchez-Dahl Gonzalez M, Muti IH, Cheng LL. High resolution magic angle spinning MRS in prostate cancer. MAGMA (NEW YORK, N.Y.) 2022; 35:695-705. [PMID: 35318537 DOI: 10.1007/s10334-022-01005-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Revised: 02/15/2022] [Accepted: 02/21/2022] [Indexed: 06/14/2023]
Abstract
INTRODUCTION Prostate cancer (PCa) is one of the leading causes of death among men worldwide. The current methods utilized to screen for prostate cancer may not have sufficient sensitivity in distinguishing aggressive from indolent diseases, which affect the quality of life of patients in the short and long term. The overdiagnosis of cases and overtreatment are prevalent due to the heterogeneity of the disease in terms of latent and progressive variants, as well as in the tissue types present in biopsy samples. METHODS The purpose of this review is to discuss the potential clinical benefits of incorporating high-resolution magic angle spinning (HRMAS) magnetic resonance spectroscopy (MRS) modalities to overcome the current challenges in the diagnosis, prognostication, and monitoring of PCa.
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Affiliation(s)
| | - Isabella H Muti
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Leo L Cheng
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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8
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Metabolomic analysis of endometrial cancer by high-resolution magic angle spinning NMR spectroscopy. Arch Gynecol Obstet 2022; 306:2155-2166. [PMID: 35567635 DOI: 10.1007/s00404-022-06587-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Accepted: 04/17/2022] [Indexed: 11/02/2022]
Abstract
PURPOSE To analyze endometrial metabolite profiles between patients with endometrial cancer and controls. METHODS Seventeen (17) women with endometrium cancer and 18 controls were enrolled in this study. 1H HR-MAS (High Resolution-Magic Angle Spinning) NMR (Nuclear Magnetic Resonance) spectroscopy data obtained from endometrial tissue samples of patients with endometrial cancer and control group were analyzed with bioinformatics methods. RESULTS Principal component analysis (PCA) and the partial least squares discriminant analysis (PLS-DA) score plots obtained with the multivariate statistical analysis of pre-processed spectral data shows a separation between the samples from patients with endometrial cancer and controls. Analysis results suggest that the levels of lactate, glucose, o-phosphoethanolamine, choline, glycerophosphocholine, phosphocholine, leucine, isoleucine, valine, glutamate, glutamine, n-acetyltyrosine, methionine, taurine, alanine, aspartate and phenylalanine are increased in patients with endometrial cancer compared to the controls. CONCLUSION The metabolomics signature of patients with endometrial cancer is different from that of benign endometrial tissue.
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Zhong AB, Muti IH, Eyles SJ, Vachet RW, Sikora KN, Bobst CE, Calligaris D, Stopka SA, Agar JN, Wu CL, Mino-Kenudson MA, Agar NYR, Christiani DC, Kaltashov IA, Cheng LL. Multiplatform Metabolomics Studies of Human Cancers With NMR and Mass Spectrometry Imaging. Front Mol Biosci 2022; 9:785232. [PMID: 35463966 PMCID: PMC9024335 DOI: 10.3389/fmolb.2022.785232] [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] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 03/02/2022] [Indexed: 11/22/2022] Open
Abstract
The status of metabolomics as a scientific branch has evolved from proof-of-concept to applications in science, particularly in medical research. To comprehensively evaluate disease metabolomics, multiplatform approaches of NMR combining with mass spectrometry (MS) have been investigated and reported. This mixed-methods approach allows for the exploitation of each individual technique's unique advantages to maximize results. In this article, we present our findings from combined NMR and MS imaging (MSI) analysis of human lung and prostate cancers. We further provide critical discussions of the current status of NMR and MS combined human prostate and lung cancer metabolomics studies to emphasize the enhanced metabolomics ability of the multiplatform approach.
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Affiliation(s)
- Anya B. Zhong
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Isabella H. Muti
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Stephen J. Eyles
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Richard W. Vachet
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Kristen N. Sikora
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - Cedric E. Bobst
- Department of Biochemistry and Molecular Biology, University of Massachusetts-Amherst, Amherst, MA, United States
| | - David Calligaris
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Sylwia A. Stopka
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Jeffery N. Agar
- Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA, United States
| | - Chin-Lee Wu
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | | | - Nathalie Y. R. Agar
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
- Dana-Farber Cancer Institute, Boston, MA, United States
| | - David C. Christiani
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Igor A. Kaltashov
- Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Leo L. Cheng
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Füzesi MV, Muti IH, Berker Y, Li W, Sun J, Habbel P, Nowak J, Xie Z, Cheng LL, Zhang Y. High Resolution Magic Angle Spinning Proton NMR Study of Alzheimer's Disease with Mouse Models. Metabolites 2022; 12:metabo12030253. [PMID: 35323696 PMCID: PMC8952313 DOI: 10.3390/metabo12030253] [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] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/11/2022] [Accepted: 03/13/2022] [Indexed: 12/31/2022] Open
Abstract
Alzheimer's disease (AD) is a crippling condition that affects millions of elderly adults each year, yet there remains a serious need for improved methods of diagnosis. Metabolomic analysis has been proposed as a potential methodology to better investigate and understand the progression of this disease; however, studies of human brain tissue metabolomics are challenging, due to sample limitations and ethical considerations. Comprehensive comparisons of imaging measurements in animal models to identify similarities and differences between aging- and AD-associated metabolic changes should thus be tested and validated for future human non-invasive studies. In this paper, we present the results of our highresolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) studies of AD and wild-type (WT) mouse models, based on animal age, brain regions, including cortex vs. hippocampus, and disease status. Our findings suggest the ability of HRMAS NMR to differentiate between AD and WT mice using brain metabolomics, which potentially can be implemented in in vivo evaluations.
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Affiliation(s)
- Mark V. Füzesi
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA; (M.V.F.); (I.H.M.); (J.S.)
| | - Isabella H. Muti
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA; (M.V.F.); (I.H.M.); (J.S.)
| | - Yannick Berker
- Hopp Children’s Cancer Center Heidelberg (KiTZ), 69120 Heidelberg, Germany;
- Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), 69120 Heidelberg, Germany
| | - Wei Li
- Department of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA; (W.L.); (Z.X.)
| | - Joseph Sun
- Department of Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA; (M.V.F.); (I.H.M.); (J.S.)
| | - Piet Habbel
- Department of Medical Oncology, Haematology and Tumour Immunology, Charité—University Medicine Berlin, 10117 Berlin, Germany;
| | - Johannes Nowak
- Radiology Gotha, SRH Poliklinik Gera, 99867 Gotha, Germany;
| | - Zhongcong Xie
- Department of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA; (W.L.); (Z.X.)
| | - Leo L. Cheng
- Departments of Radiology and Pathology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA
- Correspondence: (L.L.C.); (Y.Z.)
| | - Yiying Zhang
- Department of Anesthesia, Critical Care and Pain Medicine, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02115, USA; (W.L.); (Z.X.)
- Correspondence: (L.L.C.); (Y.Z.)
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Weng J, Muti IH, Zhong AB, Kivisäkk P, Hyman BT, Arnold SE, Cheng LL. A Nuclear Magnetic Resonance Spectroscopy Method in Characterization of Blood Metabolomics for Alzheimer's Disease. Metabolites 2022; 12:metabo12020181. [PMID: 35208255 PMCID: PMC8878886 DOI: 10.3390/metabo12020181] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 02/08/2022] [Accepted: 02/10/2022] [Indexed: 02/06/2023] Open
Abstract
There is currently a crucial need for improved diagnostic techniques and targeted treatment methods for Alzheimer's disease (AD), a disease which impacts millions of elderly individuals each year. Metabolomic analysis has been proposed as a potential methodology to better investigate and understand the progression of this disease. In this report, we present our AD metabolomics results measured with high resolution magic angle spinning (HRMAS) nuclear magnetic resonance (NMR) on human blood plasma samples obtained from AD and non-AD subjects. Our study centers on developments of AD and non-AD metabolomics differentiating models with procedures of quality assurance (QA) and quality control (QC) through pooled samples. Our findings suggest that analysis of blood plasma samples using HRMAS NMR has the potential to differentiate between diseased and healthy subjects, which has important clinical implications for future improvements in AD diagnosis methodologies.
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Affiliation(s)
- JianXiang Weng
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (J.W.); (I.H.M.); (A.B.Z.)
| | - Isabella H. Muti
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (J.W.); (I.H.M.); (A.B.Z.)
| | - Anya B. Zhong
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (J.W.); (I.H.M.); (A.B.Z.)
| | - Pia Kivisäkk
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (P.K.); (B.T.H.); (S.E.A.)
| | - Bradley T. Hyman
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (P.K.); (B.T.H.); (S.E.A.)
| | - Steven E. Arnold
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA; (P.K.); (B.T.H.); (S.E.A.)
| | - Leo L. Cheng
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02115, USA
- Correspondence: ; Tel.: +1-617-724-6593
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Firdous S, Abid R, Nawaz Z, Bukhari F, Anwer A, Cheng LL, Sadaf S. Dysregulated Alanine as a Potential Predictive Marker of Glioma-An Insight from Untargeted HRMAS-NMR and Machine Learning Data. Metabolites 2021; 11:metabo11080507. [PMID: 34436448 PMCID: PMC8402070 DOI: 10.3390/metabo11080507] [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: 05/29/2021] [Revised: 07/22/2021] [Accepted: 07/28/2021] [Indexed: 01/04/2023] Open
Abstract
Metabolic alterations play a crucial role in glioma development and progression and can be detected even before the appearance of the fatal phenotype. We have compared the circulating metabolic fingerprints of glioma patients versus healthy controls, for the first time, in a quest to identify a panel of small, dysregulated metabolites with potential to serve as a predictive and/or diagnostic marker in the clinical settings. High-resolution magic angle spinning nuclear magnetic resonance spectroscopy (HRMAS-NMR) was used for untargeted metabolomics and data acquisition followed by a machine learning (ML) approach for the analyses of large metabolic datasets. Cross-validation of ML predicted NMR spectral features was done by statistical methods (Wilcoxon-test) using JMP-pro16 software. Alanine was identified as the most critical metabolite with potential to detect glioma with precision of 1.0, recall of 0.96, and F1 measure of 0.98. The top 10 metabolites identified for glioma detection included alanine, glutamine, valine, methionine, N-acetylaspartate (NAA), γ-aminobutyric acid (GABA), serine, α-glucose, lactate, and arginine. We achieved 100% accuracy for the detection of glioma using ML algorithms, extra tree classifier, and random forest, and 98% accuracy with logistic regression. Classification of glioma in low and high grades was done with 86% accuracy using logistic regression model, and with 83% and 79% accuracy using extra tree classifier and random forest, respectively. The predictive accuracy of our ML model is superior to any of the previously reported algorithms, used in tissue- or liquid biopsy-based metabolic studies. The identified top metabolites can be targeted to develop early diagnostic methods as well as to plan personalized treatment strategies.
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Affiliation(s)
- Safia Firdous
- School of Biochemistry and Biotechnology, University of the Punjab, Lahore 54590, Pakistan; (S.F.); (R.A.)
- Riphah College of Rehabilitation and Allied Health Sciences, Riphah International University, Lahore 54770, Pakistan
| | - Rizwan Abid
- School of Biochemistry and Biotechnology, University of the Punjab, Lahore 54590, Pakistan; (S.F.); (R.A.)
| | - Zubair Nawaz
- Department of Data Science, Punjab University College of Information Technology, University of the Punjab, Lahore 54590, Pakistan; (Z.N.); (F.B.)
| | - Faisal Bukhari
- Department of Data Science, Punjab University College of Information Technology, University of the Punjab, Lahore 54590, Pakistan; (Z.N.); (F.B.)
| | - Ammar Anwer
- Punjab Institute of Neurosciences (PINS), Lahore General Hospital, Lahore 54000, Pakistan;
| | - Leo L. Cheng
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02129, USA;
| | - Saima Sadaf
- School of Biochemistry and Biotechnology, University of the Punjab, Lahore 54590, Pakistan; (S.F.); (R.A.)
- Correspondence:
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13
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Lombó M, Ruiz-Díaz S, Gutiérrez-Adán A, Sánchez-Calabuig MJ. Sperm Metabolomics through Nuclear Magnetic Resonance Spectroscopy. Animals (Basel) 2021; 11:ani11061669. [PMID: 34205204 PMCID: PMC8227655 DOI: 10.3390/ani11061669] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/28/2021] [Accepted: 05/31/2021] [Indexed: 12/16/2022] Open
Abstract
Simple Summary Proton nuclear magnetic resonance spectroscopy (1 H-NMR) is of special interest for the analysis of metabolites present in seminal plasma and spermatozoa. This metabolomic approach has been used to identify the presence of new biomarkers or their proportions in a non-invasive manner and is, therefore, an interesting tool for male fertility diagnosis. In this paper, we review current knowledge of the use of 1 H-NMR to examine sperm metabolomics in different species with special attention paid to humans and farm animals. We also describe the use of 1 H-NMR to establish a possible relationship between the mammalian diet and the presence of certain hydrophilic and lipophilic metabolites in spermatozoa. Abstract This report reviews current knowledge of sperm metabolomics analysis using proton nuclear magnetic resonance spectroscopy (1 H-NMR) with particular emphasis on human and farm animals. First, we present the benefits of NMR over other techniques to identify sperm metabolites and then describe the specific methodology required for NMR sperm analysis, stressing the importance of analyzing metabolites extracted from both the hydrophilic and lipophilic phases. This is followed by a description of advances produced to date in the use of NMR to diagnose infertility in humans and to identify metabolic differences among the sperm of mammalian herbivore, carnivore, and omnivore species. This last application of NMR mainly seeks to explore the possible use of lipids to fuel sperm physiology, contrary to previous theories that glycolysis and oxidative phosphorylation (OXPHOS) are the only sources of sperm energy. This review describes the use of NMR to identify sperm and seminal plasma metabolites as possible indicators of semen quality, and to examine the metabolites needed to maintain sperm motility, induce their capacitation, and consequently, to predict animal fertility.
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Affiliation(s)
- Marta Lombó
- Department of Animal Reproduction, INIA, Av. Puerta de Hierro, 18, 28040 Madrid, Spain; (M.L.); (S.R.-D.); (A.G.-A.)
| | - Sara Ruiz-Díaz
- Department of Animal Reproduction, INIA, Av. Puerta de Hierro, 18, 28040 Madrid, Spain; (M.L.); (S.R.-D.); (A.G.-A.)
- Mistral Fertility Clinics S.L., Clínica Tambre, 28002 Madrid, Spain
| | - Alfonso Gutiérrez-Adán
- Department of Animal Reproduction, INIA, Av. Puerta de Hierro, 18, 28040 Madrid, Spain; (M.L.); (S.R.-D.); (A.G.-A.)
| | - María-Jesús Sánchez-Calabuig
- Department of Animal Reproduction, INIA, Av. Puerta de Hierro, 18, 28040 Madrid, Spain; (M.L.); (S.R.-D.); (A.G.-A.)
- Department of Animal Medicine and Surgery, Faculty of Veterinary Science, University Complutense of Madrid, 28040 Madrid, Spain
- Correspondence:
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14
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Wylot M, Whittaker DTE, Wren SAC, Bothwell JH, Hughes L, Griffin JL. Monitoring apoptosis in intact cells by high-resolution magic angle spinning 1 H NMR spectroscopy. NMR IN BIOMEDICINE 2021; 34:e4456. [PMID: 33398876 DOI: 10.1002/nbm.4456] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 11/09/2020] [Accepted: 11/13/2020] [Indexed: 06/12/2023]
Abstract
Apoptosis maintains an equilibrium between cell proliferation and cell death. Many diseases, including cancer, develop because of defects in apoptosis. A known metabolic marker of apoptosis is a notable increase in 1 H NMR-observable resonances associated with lipids stored in lipid droplets. However, standard one-dimensional NMR experiments allow the quantification of lipid concentration only, without providing information about physical characteristics such as the size of lipid droplets, viscosity of the cytosol, or cytoskeletal rigidity. This additional information can improve monitoring of apoptosis-based cancer treatments in intact cells and provide us with mechanistic insight into why these changes occur. In this paper, we use high-resolution magic angle spinning (HRMAS) 1 H NMR spectroscopy to monitor lipid concentrations and apparent diffusion coefficients of mobile lipid in intact cells treated with the apoptotic agents cisplatin or etoposide. We also use solution-state NMR spectroscopy to study changes in lipid profiles of organic solvent cell extracts. Both NMR techniques show an increase in the concentration of lipids but the relative changes are 10 times larger by HRMAS 1 H NMR spectroscopy. Moreover, the apparent diffusion rates of lipids in apoptotic cells measured by HRMAS 1 H NMR spectroscopy decrease significantly as compared with control cells. Slower diffusion rates of mobile lipids in apoptotic cells correlate well with the formation of larger lipid droplets as observed by microscopy. We also compared the mean lipid droplet displacement values calculated from the two methods. Both methods showed shorter displacements of lipid droplets in apoptotic cells. Our results demonstrate that the NMR-based diffusion experiments on intact cells discriminate between control and apoptotic cells. Apparent diffusion measurements in conjunction with 1 H NMR spectroscopy-derived lipid signals provide a novel means of following apoptosis in intact cells. This method could have potential application in enhancing drug discovery by monitoring drug treatments in vitro, particularly for agents that cause portioning of lipids such as apoptosis.
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Affiliation(s)
- Marta Wylot
- Department of Biochemistry, University of Cambridge, Cambridge, UK
| | - David T E Whittaker
- Early Chemical Development, Pharmaceutical Sciences, R&D, AstraZeneca, Macclesfield, UK
| | - Stephen A C Wren
- New Modalities & Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK
| | | | - Leslie Hughes
- New Modalities & Parenteral Development, Pharmaceutical Technology & Development, Operations, AstraZeneca, Macclesfield, UK
| | - Julian L Griffin
- Department of Biochemistry, University of Cambridge, Cambridge, UK
- Section of Biomolecular Medicine, Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
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15
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Manning AP, MacKay AL, Michal CA. Understanding aqueous and non-aqueous proton T 1 relaxation in brain. JOURNAL OF MAGNETIC RESONANCE (SAN DIEGO, CALIF. : 1997) 2021; 323:106909. [PMID: 33453678 DOI: 10.1016/j.jmr.2020.106909] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 11/17/2020] [Accepted: 12/23/2020] [Indexed: 06/12/2023]
Abstract
A full picture of longitudinal relaxation in complex heterogeneous environments like white matter brain tissue remains elusive. In tissue, successive approximations, from the solvation layer model to the two pool model, have highlighted how longitudinal magnetization evolution depends on both inter-compartmental exchange and spin-lattice relaxation. In white matter, however, these models fail to capture the behaviour of the two distinct aqueous pools, myelin water and intra/extra-cellular water. A challenge with testing more comprehensive multi-pool models lies in directly observing all pools, both aqueous and non-aqueous. In this work, we advance these efforts by integrating three main experimental and analytical elements: direct observation of the longitudinal relaxation of both the aqueous and the non-aqueous protons in white matter, a wide range of different initial conditions, and application of an analysis pipeline which includes lineshape, CPMG, and fitting of a four pool model. An eigenvector interpretation of the four pool model highlights how longitudinal relaxation in white matter depends on initial conditions. We find that a single set of model parameters is able to describe the entire range of relaxation behaviour observed in all the separable aqueous and non-aqueous pools in experiments involving six different initial conditions. Understanding of the nature and connectedness of the tissue components is crucial in the design and interpretation of many MRI measurements, especially those based on magnetization transfer and longitudinal relaxation. In particular, the dependency of relaxation behaviour on initial conditions is likely the basis for understanding method-dependent discrepancies in in vivo T1.
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Affiliation(s)
- Alan P Manning
- Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada
| | - Alex L MacKay
- Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada; Department of Radiology, University of British Columbia, 2211 Wesbrook Mall, Vancouver, BC V6T 2B5, Canada
| | - Carl A Michal
- Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada.
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16
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Quintero Escobar M, Maschietto M, Krepischi ACV, Avramovic N, Tasic L. Insights into the Chemical Biology of Childhood Embryonal Solid Tumors by NMR-Based Metabolomics. Biomolecules 2019; 9:biom9120843. [PMID: 31817982 PMCID: PMC6995504 DOI: 10.3390/biom9120843] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 11/30/2019] [Accepted: 12/02/2019] [Indexed: 01/19/2023] Open
Abstract
Most childhood cancers occur as isolated cases and show very different biological behavior when compared with cancers in adults. There are some solid tumors that occur almost exclusively in children among which stand out the embryonal solid tumors. These cancers main types are neuroblastoma, nephroblastoma (Wilms tumors), retinoblastoma and hepatoblastomas and tumors of the central nervous system (CNS). Embryonal solid tumors represent a heterogeneous group of cancers supposedly derived from undifferentiated cells, with histological features that resemble tissues of origin during embryogenesis. This key observation suggests that tumorigenesis might begin during early fetal or child life due to the errors in growth or pathways differentiation. There are not many literature data on genomic, transcriptomic, epigenetic, proteomic, or metabolomic differences in these types of cancers when compared to the omics- used in adult cancer research. Still, metabolomics by nuclear magnetic resonance (NMR) in childhood embryonal solid tumors research can contribute greatly to understand better metabolic pathways alterations and biology of the embryonal solid tumors and potential to be used in clinical applications. Different types of samples, such as tissues, cells, biofluids, mostly blood plasma and serum, can be analyzed by NMR to detect and identify cancer metabolic signatures and validated biomarkers using enlarged group of samples. The literature search for biomarkers points to around 20-30 compounds that could be associated with pediatric cancer as well as metastasis.
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Affiliation(s)
- Melissa Quintero Escobar
- Biological Chemistry Group, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, Brazil;
- Laboratory of Blood Coagulation, Department of Medical Physiopathology, Hemocentro, University of Campinas (UNICAMP), Campinas 13083-878, Brazil
| | - Mariana Maschietto
- Research Center, Boldrini Children’s Hospital, Campinas 13083-884, Brazil;
| | - Ana C. V. Krepischi
- Department of Genetics and Evolutionary Biology, Institute of Biosciences, University of Sao Paulo (USP), Sao Paulo 05508-0970, Brazil;
| | - Natasa Avramovic
- Institute of Medical Chemistry, Faculty of Medicine, University of Belgrade, Belgrade 11000, Serbia;
| | - Ljubica Tasic
- Biological Chemistry Group, Department of Organic Chemistry, Institute of Chemistry, University of Campinas (UNICAMP), Campinas 13083-970, Brazil;
- Correspondence: ; Tel.: +55-19-3521-1106
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17
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Moussallieh F, Moss E, Elbayed K, Lereaux G, Tourneix F, Lepoittevin J. Modifications induced by chemical skin allergens on the metabolome of reconstructed human epidermis: A pilot high‐resolution magic angle spinning nuclear magnetic resonance study. Contact Dermatitis 2019; 82:137-146. [DOI: 10.1111/cod.13415] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 09/16/2019] [Accepted: 10/14/2019] [Indexed: 12/26/2022]
Affiliation(s)
| | - Eric Moss
- Institute of ChemistryCNRS UMR 7177 and University of Strasbourg Strasbourg France
| | - Karim Elbayed
- Laboratoire des Sciences de l'ingénieur, de l'informatique et de l'imagerie (ICube)CNRS UMR 7357 and University of Strasbourg Strasbourg France
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18
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Dinges SS, Vandergrift LA, Wu S, Berker Y, Habbel P, Taupitz M, Wu CL, Cheng LL. Metabolomic prostate cancer fields in HRMAS MRS-profiled histologically benign tissue vary with cancer status and distance from cancer. NMR IN BIOMEDICINE 2019; 32:e4038. [PMID: 30609175 PMCID: PMC7366614 DOI: 10.1002/nbm.4038] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 09/05/2018] [Accepted: 10/13/2018] [Indexed: 05/05/2023]
Abstract
In this article, we review the state of the field of high resolution magic angle spinning MRS (HRMAS MRS)-based cancer metabolomics since its beginning in 2004; discuss the concept of cancer metabolomic fields, where metabolomic profiles measured from histologically benign tissues reflect patient cancer status; and report our HRMAS MRS metabolomic results, which characterize metabolomic fields in prostatectomy-removed cancerous prostates. Three-dimensional mapping of cancer lesions throughout each prostate enabled multiple benign tissue samples per organ to be classified based on distance from and extent of the closest cancer lesion as well as the Gleason score (GS) of the entire prostate. Cross-validated partial least squares-discriminant analysis separations were achieved between cancer and benign tissue, and between cancer tissue from prostates with high (≥4 + 3) and low (≤3 + 4) GS. Metabolomic field effects enabled histologically benign tissue adjacent to cancer to distinguish the GS and extent of the cancer lesion itself. Benign samples close to either low GS cancer or extensive cancer lesions could be distinguished from those far from cancer. Furthermore, a successfully cross-validated multivariate model for three benign tissue groups with varying distances from cancer lesions within one prostate indicates the scale of prostate cancer metabolomic fields. While these findings could, at present, be potentially useful in the prostate cancer clinic for analysis of biopsy or surgical specimens to complement current diagnostics, the confirmation of metabolomic fields should encourage further examination of cancer fields and can also enhance understanding of the metabolomic characteristics of cancer in myriad organ systems. Our results together with the success of HRMAS MRS-based cancer metabolomics presented in our literature review demonstrate the potential of cancer metabolomics to provide supplementary information for cancer diagnosis, staging, and patient prognostication.
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Affiliation(s)
- Sarah S. Dinges
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Haematology and Oncology, CCM, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
- Department of Radiology, Charité Medical University of Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Lindsey A. Vandergrift
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
| | - Shulin Wu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
| | - Yannick Berker
- Division of X-Ray Imaging and Computed Tomography, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Piet Habbel
- Department of Haematology and Oncology, CCM, Charité – Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Matthias Taupitz
- Department of Radiology, Charité Medical University of Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Chin-Lee Wu
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
| | - Leo L. Cheng
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114 USA
- Corresponding author: Leo L. Cheng, PhD, 149 13 St, CNY 6, Charlestown, MA 02129, Ph. 617-724-6593,
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19
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Berker Y, Vandergrift LA, Wagner I, Su L, Kurth J, Schuler A, Dinges SS, Habbel P, Nowak J, Mark E, Aryee MJ, Christiani DC, Cheng LL. Magnetic Resonance Spectroscopy-based Metabolomic Biomarkers for Typing, Staging, and Survival Estimation of Early-Stage Human Lung Cancer. Sci Rep 2019; 9:10319. [PMID: 31311965 PMCID: PMC6635503 DOI: 10.1038/s41598-019-46643-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 07/03/2019] [Indexed: 12/14/2022] Open
Abstract
Low-dose CT has shown promise in detecting early stage lung cancer. However, concerns about the adverse health effects of radiation and high cost prevent its use as a population-wide screening tool. Effective and feasible screening methods to triage suspicious patients to CT are needed. We investigated human lung cancer metabolomics from 93 paired tissue-serum samples with magnetic resonance spectroscopy and identified tissue and serum metabolomic markers that can differentiate cancer types and stages. Most interestingly, we identified serum metabolomic profiles that can predict patient overall survival for all cases (p = 0.0076), and more importantly for Stage I cases alone (n = 58, p = 0.0100), a prediction which is significant for treatment strategies but currently cannot be achieved by any clinical method. Prolonged survival is associated with relative overexpression of glutamine, valine, and glycine, and relative suppression of glutamate and lipids in serum.
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Affiliation(s)
- Yannick Berker
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Division of X-Ray Imaging and Computed Tomography, German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Lindsey A Vandergrift
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Isabel Wagner
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Urology, CCM, Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Li Su
- Department of Environmental Health, Harvard T.H. Chan School of Public Health and Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, 02115, USA
| | - Johannes Kurth
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Haematology and Oncology, CCM, Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Andreas Schuler
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Sarah S Dinges
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Haematology and Oncology, CCM, Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Piet Habbel
- Department of Haematology and Oncology, CCM, Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany
| | - Johannes Nowak
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, 97080, Würzburg, Germany
| | - Eugene Mark
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA
| | - Martin J Aryee
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, 02115, USA
| | - David C Christiani
- Department of Environmental Health, Harvard T.H. Chan School of Public Health and Department of Medicine, Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts, 02115, USA.
| | - Leo L Cheng
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA. .,Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, 02114, USA.
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20
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HR-MAS NMR Based Quantitative Metabolomics in Breast Cancer. Metabolites 2019; 9:metabo9020019. [PMID: 30678289 PMCID: PMC6410210 DOI: 10.3390/metabo9020019] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2018] [Revised: 01/17/2019] [Accepted: 01/18/2019] [Indexed: 01/23/2023] Open
Abstract
High resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) spectroscopy is increasingly used for profiling of breast cancer tissue, delivering quantitative information for approximately 40 metabolites. One unique advantage of the method is that it can be used to analyse intact tissue, thereby requiring only minimal sample preparation. Importantly, since the method is non-destructive, it allows further investigations of the same specimen using for instance transcriptomics. Here, we discuss technical aspects critical for a successful analysis—including sample handling, measurement conditions, pulse sequences for one- and two dimensional analysis, and quantification methods—and summarize available studies, with a focus on significant associations of metabolite levels with clinically relevant parameters.
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21
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Zhang Y, Liu Z, Ji B, Liu L, Wu S, Liu X, Wang S, Wang L. Metabolite Profile of Alzheimer's Disease in the Frontal Cortex as Analyzed by HRMAS 1H NMR. Front Aging Neurosci 2019; 10:424. [PMID: 30687076 PMCID: PMC6333733 DOI: 10.3389/fnagi.2018.00424] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 12/06/2018] [Indexed: 12/14/2022] Open
Abstract
Background: Investigation on neurochemical changes in the frontal cortex in individuals with Alzheimer’s disease (AD) and different Apolipoprotein E (APOE) genotypes, using ex vivo solid-state high-resolution NMR analysis, may lead to a better understanding of the neurochemistry associated with AD as well as new AD-specific metabolite biomarkers that might potentially improve the clinical diagnosis of AD. Methods: Intact tissue samples of the frontal cortex were obtained from 11 patients and 11 age-matched non-demented controls. Metabolite profiles in all samples were analyzed ex vivo, using solid-state high-resolution magic angle spinning (HRMAS) 600 MHz 1H nuclear magnetic resonance (NMR). A logistic regression analysis was used to rank metabolites based on their level of contribution in differentiating the AD patient tissues and the controls, and different AD-associated APOE genotypes (APOE ε4 vs. APOE ε3). Results: Tissue samples from the AD patients showed significantly lower NAA/Cr (p = 0.011), Ace/Cr (p = 0.027), GABA/Cr (p = 0.005), Asp/Cr (p < 0.0001), mI/Cr (p < 0.0001), and Tau/Cr (p = 0.021), and higher PCho/Cr (p < 0.0001), GPCho/Cr (p < 0.0001), and α&β-Glc/Cr (p < 0.0001) than the controls did. Specifically, a newly observed resonance at 3.71 ppm, referred to as α&β-Glc, was observed in 90.9% of the AD samples (10/11). Samples with APOE ε4 also exhibited higher PCho/Cr (p = 0.0002), GPCho/Cr (p = 0.0001), α&β-Glc/Cr (p < 0.0001), and lower Asp/Cr (p = 0.004) and GABA/Cr (p = 0.04) than the samples with APOE ε3 did. In the logistic regression analysis, PCho, GPCho, ASP, and α&β-Glc were found to be the most relevant metabolites for differentiating the AD patient tissues and the controls, and different APOE genotypes. Conclusion: HRMAS 1H NMR with high spectral resolution and sensitivity offers a powerful tool to gain quantitative information on AD associated neurochemical changes. There are important neurochemical differences in the frontal cortex between the AD patient tissues and the controls, and between those with different APOE genotypes. The resonance (α&β-Glc) found at 3.71 ppm in the AD patient tissues may be further investigated for its potential in the diagnosis and monitoring of AD.
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Affiliation(s)
- Yuzhong Zhang
- Department of Radiology, The People's Hospital of Longhua, Shenzhen, China
| | - Zhou Liu
- Graduate School, Medical College of Nanchang University, Nanchang, China.,Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Bing Ji
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States
| | - Lijian Liu
- Graduate School, Medical College of Nanchang University, Nanchang, China
| | - Shaoxiong Wu
- Department of Chemistry, NMR Research Center, Emory University, Atlanta, GA, United States
| | - Xiaowu Liu
- Yiwei Medical Technology, Inc., Shenzhen, China
| | - Silun Wang
- Yiwei Medical Technology, Inc., Shenzhen, China
| | - Liya Wang
- Graduate School, Medical College of Nanchang University, Nanchang, China.,Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States
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22
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Tilgner M, Vater TS, Habbel P, Cheng LL. High-Resolution Magic Angle Spinning (HRMAS) NMR Methods in Metabolomics. Methods Mol Biol 2019; 2037:49-67. [PMID: 31463839 DOI: 10.1007/978-1-4939-9690-2_4] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
High-resolution magic angle spinning (HRMAS) NMR spectroscopy enables the evaluation of metabolite profiles of intact tissue with high spectral resolution. The ability to preserve the tissue after analysis permits subsequent histopathological examination and enables the analyses of correlations between tissue metabolites and pathologies, thus making HRMAS NMR spectroscopy a powerful tool in the metabolomics field. Improved methods for the elimination of spinning sidebands that appear at low spinning rates preserve the integrity of tissue structures better and allow measurement of delicate tissues, such as clinical biopsy core samples. In the metabolomics field, HRMAS NMR has been established as a valuable tool for both untargeted and targeted metabolite profiling. In this chapter, we present protocols to perform HRMAS NMR spectroscopy experiments, including sample preparation, acquisition procedures, measurement parameters, histopathological examination techniques, spectral processing, and metabolite quantification and statistical analyses.
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Affiliation(s)
- Marlon Tilgner
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Tim S Vater
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Department of Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Piet Habbel
- Department of Hematology and Oncology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Leo L Cheng
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
- Department of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
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23
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Precht C, Diserens G, Vermathen M, Oevermann A, Lauper J, Vermathen P. Metabolic profiling of listeria rhombencephalitis in small ruminants by 1 H high-resolution magic angle spinning NMR spectroscopy. NMR IN BIOMEDICINE 2018; 31:e4023. [PMID: 30328643 DOI: 10.1002/nbm.4023] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Revised: 08/02/2018] [Accepted: 08/28/2018] [Indexed: 06/08/2023]
Abstract
Listeria rhombencephalitis is caused by infection with Listeria monocytogenes and is associated with a high mortality rate in humans and ruminants. Little is known about the metabolic changes associated with neurolisteriosis in particular and infectious central nervous system (CNS) diseases in general. The purpose of our study was to investigate the metabolic changes associated with listeria rhombencephalitis in small ruminants (goats and sheep) as a model for inflammatory CNS disease by 1 H high-resolution magic angle spinning nuclear magnetic resonance (1 H HR-MAS NMR) spectroscopy of brain biopsies obtained from the brainstem and thalamus. Statistical analysis revealed distinct differences in the metabolic profile of brainstem biopsies, the primary location of listeria rhombencephalitis with moderate or severe inflammatory changes. N-Acetylaspartate (NAA), N-acetylaspartylglutamate, choline, myo-inositol and scyllo-inositol were decreased, and glycine, phosphocholine, taurine and lactate were increased, in the diseased group (n = 13) in comparison with the control group (n = 12). In the thalamus, which showed no or only mild inflammatory changes in the majority of animals, no statistically significant metabolic changes were observed. However, trends for metabolic alterations were partly the same as those found in the brainstem, including NAA, choline and lactate. This may be an indicator of metabolic changes occurring in the early stages of the disease. Therefore, further research with a larger number of animals is needed to evaluate the presence of subtle metabolic changes associated with mild inflammatory changes in the thalamus. In conclusion, 1 H HR-MAS NMR investigation of listeria rhombencephalitis identified brain metabolite changes, offering new insights into the disease pathophysiology.
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Affiliation(s)
- Christina Precht
- Clinical Radiology, Department of Clinical Veterinary Medicine, University of Bern, Bern, Switzerland
| | - Gaëlle Diserens
- AMSM, Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland
| | - Martina Vermathen
- Department of Chemistry and Biochemistry, University of Bern, Bern, Switzerland
| | - Anna Oevermann
- Division of Neurological Sciences, Department of Clinical Research and Veterinary Public Health, University of Bern, Bern, Switzerland
| | - Josiane Lauper
- Clinic for Ruminants, Department of Clinical Veterinary Medicine, University of Bern, Bern, Switzerland
| | - Peter Vermathen
- AMSM, Departments of Radiology and Biomedical Research, University of Bern, Bern, Switzerland
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24
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Righi V, Constantinou C, Kesarwani M, Rahme LG, Tzika AA. Effects of a small, volatile bacterial molecule on Pseudomonas aeruginosa bacteria using whole cell high-resolution magic angle spinning nuclear magnetic resonance spectroscopy and genomics. Int J Mol Med 2018; 42:2129-2136. [PMID: 30015850 PMCID: PMC6108874 DOI: 10.3892/ijmm.2018.3760] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2015] [Accepted: 11/19/2015] [Indexed: 01/07/2023] Open
Abstract
In the present study, high-resolution magic-angle spinning (HRMAS) nuclear magnetic resonance (NMR) spectroscopy was applied to live Pseudomonas aeruginosa (PA) bacterial cells to determine the metabolome of this opportunistic Gram-negative human pathogen, and in particular, its response to the volatile aromatic low molecular weight signaling molecule, 2-aminoacetophenone (2-AA). Multi-dimensional HRMAS NMR is a promising method which may be used to determine the in vivo metabolome of live intact bacterial cells; 2-AA is produced by PA and triggers the emergence of phenotypes that promote chronic infection phenotypes in in vitro and in vivo (animal) models. In the present study, we applied one-dimensional and two-dimensional proton (1H) HRMAS NMR to PA cells which were grown with or without 2-AA in order to examine the associations between metabolites and cellular processes in response to 2-AA. We also compared whole-genome transcriptome profiles of PA cells grown with or without 2-AA and found that 2-AA promoted profound metabolic changes in the PA cells. By comparing the whole-genome transcriptome profiles and metabolomic analysis, we demonstrated that 2-AA profoundly reprogramed the gene expression and metabolic profiles of the cells. Our in vivo1H HRMAS NMR spectroscopy may prove to be a helpful tool in the validation of gene functions, the study of pathogenic mechanisms, the classification of microbial strains into functional/clinical groups and the testing of anti-bacterial agents.
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Affiliation(s)
- Valeria Righi
- NMR Surgical Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General and Shriners Burns Hospitals, Harvard Medical School, Boston, MA 02114, USA
| | - Caterina Constantinou
- NMR Surgical Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General and Shriners Burns Hospitals, Harvard Medical School, Boston, MA 02114, USA
| | - Meenu Kesarwani
- Molecular Surgery Laboratory, Department of Surgery, Microbiology and Immunobiology, Harvard Medical School and Molecular Surgery Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General and Shriners Burns Hospitals, Boston, MA 02114, USA
| | - Laurence G Rahme
- Molecular Surgery Laboratory, Department of Surgery, Microbiology and Immunobiology, Harvard Medical School and Molecular Surgery Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General and Shriners Burns Hospitals, Boston, MA 02114, USA
| | - A Aria Tzika
- NMR Surgical Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General and Shriners Burns Hospitals, Harvard Medical School, Boston, MA 02114, USA
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25
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Metabolomic Prediction of Human Prostate Cancer Aggressiveness: Magnetic Resonance Spectroscopy of Histologically Benign Tissue. Sci Rep 2018; 8:4997. [PMID: 29581441 PMCID: PMC5980000 DOI: 10.1038/s41598-018-23177-w] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 03/07/2018] [Indexed: 12/17/2022] Open
Abstract
Prostate cancer alters cellular metabolism through events potentially preceding cancer morphological formation. Magnetic resonance spectroscopy (MRS)-based metabolomics of histologically-benign tissues from cancerous prostates can predict disease aggressiveness, offering clinically-translatable prognostic information. This retrospective study of 185 patients (2002-2009) included prostate tissues from prostatectomies (n = 365), benign prostatic hyperplasia (BPH) (n = 15), and biopsy cores from cancer-negative patients (n = 14). Tissues were measured with high resolution magic angle spinning (HRMAS) MRS, followed by quantitative histology using the Prognostic Grade Group (PGG) system. Metabolic profiles, measured solely from 338 of 365 histologically-benign tissues from cancerous prostates and divided into training-testing cohorts, could identify tumor grade and stage, and predict recurrence. Specifically, metabolic profiles: (1) show elevated myo-inositol, an endogenous tumor suppressor and potential mechanistic therapy target, in patients with highly-aggressive cancer, (2) identify a patient sub-group with less aggressive prostate cancer to avoid overtreatment if analysed at biopsy; and (3) subdivide the clinicopathologically indivisible PGG2 group into two distinct Kaplan-Meier recurrence groups, thereby identifying patients more at-risk for recurrence. Such findings, achievable by biopsy or prostatectomy tissue measurement, could inform treatment strategies. Metabolomics information can help transform a morphology-based diagnostic system by invoking cancer biology to improve evaluation of histologically-benign tissues in cancer environments.
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Rossi F, Geiszler PC, Meng W, Barron MR, Prior M, Herd-Smith A, Loreto A, Lopez MY, Faas H, Pardon MC, Conforti L. NAD-biosynthetic enzyme NMNAT1 reduces early behavioral impairment in the htau mouse model of tauopathy. Behav Brain Res 2018; 339:140-152. [PMID: 29175372 PMCID: PMC5769520 DOI: 10.1016/j.bbr.2017.11.030] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2017] [Revised: 11/08/2017] [Accepted: 11/22/2017] [Indexed: 11/04/2022]
Abstract
NAD metabolism and the NAD biosynthetic enzymes nicotinamide nucleotide adenylyltransferases (NMNATs) are thought to play a key neuroprotective role in tauopathies, including Alzheimer's disease. Here, we investigated whether modulating the expression of the NMNAT nuclear isoform NMNAT1, which is important for neuronal maintenance, influences the development of behavioral and neuropathological abnormalities in htau mice, which express non-mutant human tau isoforms and represent a model of tauopathy relevant to Alzheimer's disease. Prior to the development of cognitive symptoms, htau mice exhibit tau hyperphosphorylation associated with a selective deficit in food burrowing, a behavior reminiscent to activities of daily living which are impaired early in Alzheimer's disease. We crossed htau mice with Nmnat1 transgenic and knockout mice and tested the resulting offspring until the age of 6 months. We show that overexpression of NMNAT1 ameliorates the early deficit in food burrowing characteristic of htau mice. At 6 months of age, htau mice did not show neurodegenerative changes in both the cortex and hippocampus, and these were not induced by downregulating NMNAT1 levels. Modulating NMNAT1 levels produced a corresponding effect on NMNAT enzymatic activity but did not alter NAD levels in htau mice. Although changes in local NAD levels and subsequent modulation of NAD-dependent enzymes cannot be ruled out, this suggests that the effects seen on behavior may be due to changes in tau phosphorylation. Our results suggest that increasing NMNAT1 levels can slow the progression of symptoms and neuropathological features of tauopathy, but the underlying mechanisms remain to be established.
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Affiliation(s)
- Francesca Rossi
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK; Department of Biomedical Sciences, Cagliari University, Cagliari 09042, Italy
| | - Philippine C Geiszler
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK
| | - Weina Meng
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK
| | - Matthew R Barron
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK
| | - Malcolm Prior
- Department of Biomedical Sciences, Cagliari University, Cagliari 09042, Italy
| | - Anna Herd-Smith
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK
| | - Andrea Loreto
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK
| | - Maria Yanez Lopez
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Queen's Medical Centre, Medical School, Nottingham NG7 2UH, UK; Faculty of Medicine, Department of Medicine, Imperial College London, Burlington Danes, Hammersmith campus, London W12 0NN, UK
| | - Henryk Faas
- Sir Peter Mansfield Imaging Centre, School of Medicine, University of Nottingham, Queen's Medical Centre, Medical School, Nottingham NG7 2UH, UK
| | - Marie-Christine Pardon
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK.
| | - Laura Conforti
- School of Life Sciences, University of Nottingham, Queen's Medical Centre Medical School, Nottingham, NG7 2UH, UK
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Kohe SE, Bennett CD, Gill SK, Wilson M, McConville C, Peet AC. Metabolic profiling of the three neural derived embryonal pediatric tumors retinoblastoma, neuroblastoma and medulloblastoma, identifies distinct metabolic profiles. Oncotarget 2018. [PMID: 29541417 PMCID: PMC5834290 DOI: 10.18632/oncotarget.24168] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The rare pediatric embryonal tumors retinoblastoma, medulloblastoma and neuroblastoma derive from neuroectodermal tissue and share similar histopathological features despite different anatomical locations and diverse clinical outcomes. As metabolism can reflect genetic and histological features, we investigated whether the metabolism of embryonal tumors reflects their similar histology, shared developmental and neural origins, or tumor location. We undertook metabolic profiling on 50 retinoblastoma, 39 medulloblastoma and 70 neuroblastoma using high resolution magic angle spinning magnetic resonance spectroscopy (1H-MRS). Mean metabolite concentrations identified several metabolites that were significantly different between the tumor groups including taurine, hypotaurine, glutamate, glutamine, GABA, phosphocholine, N-acetylaspartate, creatine, glycine and myoinositol, p < 0.0017. Unsupervised multivariate analysis found that each tumor group clustered separately, with a unique metabolic profile, influenced by their underlying clinical diversity. Taurine was notably high in all tumors consistent with prior evidence from embryonal tumors. Retinoblastoma and medulloblastoma were more metabolically similar, sharing features associated with the central nervous system (CNS). Neuroblastoma had features consistent with neural tissue, but also contained significantly higher myoinositol and altered glutamate-glutamine ratio, suggestive of differences in the underlying metabolism of embryonal tumors located outside of the CNS. Despite the histological similarities and shared neural metabolic features, we show that individual neuroectodermal derived embryonal tumors can be distinguished by tissue metabolic profile. Pathway analysis suggests the alanine-aspartate-glutamate and taurine-hypotaurine metabolic pathways may be the most pertinent pathways to investigate for novel therapeutic strategies. This work strengthens our understanding of the biology and metabolic pathways underlying neuroectodermal derived embryonal tumors of childhood.
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Affiliation(s)
- Sarah E Kohe
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.,Birmingham Children's Hospital, NHS Foundation Trust, Birmingham, United Kingdom
| | - Christopher D Bennett
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.,Birmingham Children's Hospital, NHS Foundation Trust, Birmingham, United Kingdom
| | - Simrandip K Gill
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.,Birmingham Children's Hospital, NHS Foundation Trust, Birmingham, United Kingdom
| | - Martin Wilson
- Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, United Kingdom
| | - Carmel McConville
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom
| | - Andrew C Peet
- Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom.,Birmingham Children's Hospital, NHS Foundation Trust, Birmingham, United Kingdom
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28
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Dietz C, Ehret F, Palmas F, Vandergrift LA, Jiang Y, Schmitt V, Dufner V, Habbel P, Nowak J, Cheng LL. Applications of high-resolution magic angle spinning MRS in biomedical studies II-Human diseases. NMR IN BIOMEDICINE 2017; 30:10.1002/nbm.3784. [PMID: 28915318 PMCID: PMC5690552 DOI: 10.1002/nbm.3784] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 06/21/2017] [Accepted: 07/10/2017] [Indexed: 05/06/2023]
Abstract
High-resolution magic angle spinning (HRMAS) MRS is a powerful method for gaining insight into the physiological and pathological processes of cellular metabolism. Given its ability to obtain high-resolution spectra of non-liquid biological samples, while preserving tissue architecture for subsequent histopathological analysis, the technique has become invaluable for biochemical and biomedical studies. Using HRMAS MRS, alterations in measured metabolites, metabolic ratios, and metabolomic profiles present the possibility to improve identification and prognostication of various diseases and decipher the metabolomic impact of drug therapies. In this review, we evaluate HRMAS MRS results on human tissue specimens from malignancies and non-localized diseases reported in the literature since the inception of the technique in 1996. We present the diverse applications of the technique in understanding pathological processes of different anatomical origins, correlations with in vivo imaging, effectiveness of therapies, and progress in the HRMAS methodology.
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Affiliation(s)
- Christopher Dietz
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
- Faculty of Medicine, Julius Maximilian University of Würzburg, 97080 Würzburg, Germany
| | - Felix Ehret
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
- Faculty of Medicine, Julius Maximilian University of Würzburg, 97080 Würzburg, Germany
| | - Francesco Palmas
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
- Department of Chemical and Geological Sciences, University of Cagliari, Cagliari, Sardinia, 09042 Italy
| | - Lindsey A. Vandergrift
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
| | - Yanni Jiang
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029 China
| | - Vanessa Schmitt
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
- Faculty of Medicine, Julius Maximilian University of Würzburg, 97080 Würzburg, Germany
| | - Vera Dufner
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
- Department of Hematology and Oncology, Charité Medical University of Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Piet Habbel
- Department of Hematology and Oncology, Charité Medical University of Berlin, Charitéplatz 1, 10117 Berlin, Germany
| | - Johannes Nowak
- Department of Diagnostic and Interventional Radiology, University Hospital of Würzburg, 97080 Würzburg, Germany
| | - Leo L. Cheng
- Departments of Radiology and Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts 02114, USA
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard-MIT Health Sciences & Technology, Charlestown, Massachusetts 02129, USA
- Corresponding Author: Leo L. Cheng, PhD, 149 13 Street, CNY-6, Charlestown, MA 02129, Ph.617-724-6593, Fax.617-726-5684,
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29
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Wu HC, Dachet F, Ghoddoussi F, Bagla S, Fuerst D, Stanley JA, Galloway MP, Loeb JA. Altered metabolomic-genomic signature: A potential noninvasive biomarker of epilepsy. Epilepsia 2017; 58:1626-1636. [PMID: 28714074 DOI: 10.1111/epi.13848] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2017] [Indexed: 01/21/2023]
Abstract
OBJECTIVE This study aimed to identify noninvasive biomarkers of human epilepsy that can reliably detect and localize epileptic brain regions. Having noninvasive biomarkers would greatly enhance patient diagnosis, patient monitoring, and novel therapy development. At the present time, only surgically invasive, direct brain recordings are capable of detecting these regions with precision, which severely limits the pace and scope of both clinical management and research progress in epilepsy. METHODS We compared high versus low or nonspiking regions in nine medically intractable epilepsy surgery patients by performing integrated metabolomic-genomic-histological analyses of electrically mapped human cortical regions using high-resolution magic angle spinning proton magnetic resonance spectroscopy, cDNA microarrays, and histological analysis. RESULTS We found a highly consistent and predictive metabolite logistic regression model with reduced lactate and increased creatine plus phosphocreatine and choline, suggestive of a chronically altered metabolic state in epileptic brain regions. Linking gene expression, cellular, and histological differences to these key metabolites using a hierarchical clustering approach predicted altered metabolic vascular coupling in the affected regions. Consistently, these predictions were validated histologically, showing both neovascularization and newly discovered, millimeter-sized microlesions. SIGNIFICANCE Using a systems biology approach on electrically mapped human cortex provides new evidence for spatially segregated, metabolic derangements in both neurovascular and synaptic architecture in human epileptic brain regions that could be a noninvasively detectable biomarker of epilepsy. These findings both highlight the immense power of a systems biology approach and identify a potentially important role that magnetic resonance spectroscopy can play in the research and clinical management of epilepsy.
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Affiliation(s)
- Helen C Wu
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, U.S.A
| | - Fabien Dachet
- Department of Neurology and Rehabilitation, University of Illinois, Chicago, Illinois, U.S.A
| | - Farhad Ghoddoussi
- Department of Anesthesiology and Neuroimaging Center, Wayne State University, Detroit, Michigan, U.S.A
| | - Shruti Bagla
- Center for Molecular Medicine and Genetics, Wayne State University, Detroit, Michigan, U.S.A
| | - Darren Fuerst
- Department of Neurology and Rehabilitation, University of Illinois, Chicago, Illinois, U.S.A
| | - Jeffrey A Stanley
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, U.S.A
| | - Matthew P Galloway
- Department of Psychiatry and Behavioral Neurosciences, Wayne State University, Detroit, Michigan, U.S.A.,Department of Anesthesiology and Neuroimaging Center, Wayne State University, Detroit, Michigan, U.S.A
| | - Jeffrey A Loeb
- Department of Neurology and Rehabilitation, University of Illinois, Chicago, Illinois, U.S.A
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30
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Zhou IY, Fuss TL, Igarashi T, Jiang W, Zhou X, Cheng LL, Sun PZ. Tissue Characterization with Quantitative High-Resolution Magic Angle Spinning Chemical Exchange Saturation Transfer Z-Spectroscopy. Anal Chem 2016; 88:10379-10383. [PMID: 27709896 DOI: 10.1021/acs.analchem.6b03137] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Chemical exchange saturation transfer (CEST) provides sensitive magnetic resonance (MR) contrast for probing dilute compounds via exchangeable protons, serving as an emerging molecular imaging methodology. CEST Z-spectrum is often acquired by sweeping radiofrequency saturation around bulk water resonance, offset by offset, to detect CEST effects at characteristic chemical shift offsets, which requires prolonged acquisition time. Herein, combining high-resolution magic angle spinning (HRMAS) with concurrent application of gradient and rf saturation to achieve fast Z-spectral acquisition, we demonstrated the feasibility of fast quantitative HRMAS CEST Z-spectroscopy. The concept was validated with phantoms, which showed excellent agreement with results obtained from conventional HRMAS MR spectroscopy (MRS). We further utilized the HRMAS Z-spectroscopy for fast ex vivo quantification of ischemic injury with rodent brain tissues after ischemic stroke. This method allows rapid and quantitative CEST characterization of biological tissues and shows potential for a host of biomedical applications.
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Affiliation(s)
- Iris Yuwen Zhou
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, Massachusetts 02129, United States
| | - Taylor L Fuss
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, Massachusetts 02129, United States.,Department of Pathology, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts 02114, United States
| | - Takahiro Igarashi
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, Massachusetts 02129, United States.,Division of Neurosurgery, Department of Neurological Surgery, Nihon University School of Medicine , Tokyo 173-8610, Japan
| | - Weiping Jiang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, Massachusetts 02129, United States.,State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences , Wuhan 430071, China
| | - Xin Zhou
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Center for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences , Wuhan 430071, China
| | - Leo L Cheng
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, Massachusetts 02129, United States.,Department of Pathology, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts 02114, United States
| | - Phillip Zhe Sun
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School , Charlestown, Massachusetts 02129, United States
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31
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Gonzalez-Riano C, Garcia A, Barbas C. Metabolomics studies in brain tissue: A review. J Pharm Biomed Anal 2016; 130:141-168. [PMID: 27451335 DOI: 10.1016/j.jpba.2016.07.008] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2016] [Revised: 07/05/2016] [Accepted: 07/07/2016] [Indexed: 12/11/2022]
Abstract
Brain is still an organ with a composition to be discovered but beyond that, mental disorders and especially all diseases that curse with dementia are devastating for the patient, the family and the society. Metabolomics can offer an alternative tool for unveiling new insights in the discovery of new treatments and biomarkers of mental disorders. Until now, most of metabolomic studies have been based on biofluids: serum/plasma or urine, because brain tissue accessibility is limited to animal models or post mortem studies, but even so it is crucial for understanding the pathological processes. Metabolomics studies of brain tissue imply several challenges due to sample extraction, along with brain heterogeneity, sample storage, and sample treatment for a wide coverage of metabolites with a wide range of concentrations of many lipophilic and some polar compounds. In this review, the current analytical practices for target and non-targeted metabolomics are described and discussed with emphasis on critical aspects: sample treatment (quenching, homogenization, filtration, centrifugation and extraction), analytical methods, as well as findings considering the used strategies. Besides that, the altered analytes in the different brain regions have been associated with their corresponding pathways to obtain a global overview of their dysregulation, trying to establish the link between altered biological pathways and pathophysiological conditions.
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Affiliation(s)
- Carolina Gonzalez-Riano
- Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte 28668, Madrid, Spain
| | - Antonia Garcia
- Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte 28668, Madrid, Spain.
| | - Coral Barbas
- Centre for Metabolomics and Bioanalysis (CEMBIO), Facultad de Farmacia, Universidad CEU San Pablo, Campus Monteprincipe, Boadilla del Monte 28668, Madrid, Spain
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Barnes S, Benton HP, Casazza K, Cooper SJ, Cui X, Du X, Engler J, Kabarowski JH, Li S, Pathmasiri W, Prasain JK, Renfrow MB, Tiwari HK. Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data. JOURNAL OF MASS SPECTROMETRY : JMS 2016; 51:461-75. [PMID: 27434804 PMCID: PMC4964969 DOI: 10.1002/jms.3782] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Revised: 04/07/2016] [Accepted: 04/24/2016] [Indexed: 05/16/2023]
Abstract
The study of metabolism has had a long history. Metabolomics, a systems biology discipline representing analysis of known and unknown pathways of metabolism, has grown tremendously over the past 20 years. Because of its comprehensive nature, metabolomics requires careful consideration of the question(s) being asked, the scale needed to answer the question(s), collection and storage of the sample specimens, methods for extraction of the metabolites from biological matrices, the analytical method(s) to be employed and the quality control of the analyses, how collected data are correlated, the statistical methods to determine metabolites undergoing significant change, putative identification of metabolites and the use of stable isotopes to aid in verifying metabolite identity and establishing pathway connections and fluxes. The National Institutes of Health Common Fund Metabolomics Program was established in 2012 to stimulate interest in the approaches and technologies of metabolomics. To deliver one of the program's goals, the University of Alabama at Birmingham has hosted an annual 4-day short course in metabolomics for faculty, postdoctoral fellows and graduate students from national and international institutions. This paper is the first part of a summary of the training materials presented in the course to be used as a resource for all those embarking on metabolomics research. The complete set of training materials including slide sets and videos can be viewed at http://www.uab.edu/proteomics/metabolomics/workshop/workshop_june_2015.php. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Stephen Barnes
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Department of Pharmacology and Toxicology, School of Medicine University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Targeted Metabolomics and Proteomics Laboratory, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Correspondence to: Stephen Barnes, Department of Pharmacology and Toxicology, MCLM 452, University of Alabama at Birmingham, 1918 University Boulevard, Birmingham, AL 35294, USA.
| | | | - Krista Casazza
- Department of Pediatrics, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | | | - Xiangqin Cui
- Section on Statistical Genetics, School of Public Health University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Xiuxia Du
- Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, NC, 28223, USA
| | - Jeffrey Engler
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Janusz H. Kabarowski
- Department of Microbiology, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Shuzhao Li
- Department of Medicine, Emory University, Atlanta, GA, 30322, USA
| | - Wimal Pathmasiri
- RTI International, Research Triangle Park, Durham, NC, 27709, USA
| | - Jeevan K. Prasain
- Department of Pharmacology and Toxicology, School of Medicine University of Alabama at Birmingham, Birmingham, AL, 35294, USA
- Targeted Metabolomics and Proteomics Laboratory, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Matthew B. Renfrow
- Department of Biochemistry and Molecular Genetics, University of Alabama at Birmingham, Birmingham, AL, 35294, USA
| | - Hemant K. Tiwari
- Section on Statistical Genetics, School of Public Health University of Alabama at Birmingham, Birmingham, AL, 35294, USA
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Sanacora G, Rothman D, Krystal JH. Applications of Magnetic Resonance Spectroscopy to Psychiatry. Neuroscientist 2016. [DOI: 10.1177/107385849900500316] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The inaccessibility of the human brain to biochemical studies has historically challenged the ability of in vestigators to elucidate the pathophysiology of psychiatric syndromes. Magnetic resonance spectroscopy (MRS) now provides a noninvasive means of assessing neurochemistry in vivo. Since the first application of the technique to the study of the human brain, many new advances have been made. This new technology broadens the applications of the MRS. The major principles of the technique and compounds currently available for study are discussed in this article. A brief review of current and future applications of the technology to the field of psychiatry are discussed. NEUROSCIENTIST 5:192-196, 1999
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Affiliation(s)
- Gerard Sanacora
- Departments of Psychiatry and Internal Medicine Yale
University School of Medicine New Haven, Connecticut
| | - Douglas Rothman
- Departments of Psychiatry and Internal Medicine Yale
University School of Medicine New Haven, Connecticut
| | - John H. Krystal
- Departments of Psychiatry and Internal Medicine Yale
University School of Medicine New Haven, Connecticut
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Affiliation(s)
- Jian Zhi Hu
- Biological Science Division, Pacific Northwest National Laboratory, WA 99354, USA
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35
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Kumar D, Gupta A, Nath K. NMR-based metabolomics of prostate cancer: a protagonist in clinical diagnostics. Expert Rev Mol Diagn 2016; 16:651-61. [PMID: 26959614 DOI: 10.1586/14737159.2016.1164037] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Advances in the application of NMR spectroscopy-based metabolomic profiling of prostate cancer comprises a potential tactic for understanding the impaired biochemical pathways arising due to a disease evolvement and progression. This technique involves qualitative and quantitative estimation of plethora of small molecular weight metabolites of body fluids or tissues using state-of-the-art chemometric methods delivering an important platform for translational research from basic to clinical, to reveal the pathophysiological snapshot in a single step. This review summarizes the present arrays and recent advancements in NMR-based metabolomics and a glimpse of currently used medical imaging tactics, with their role in clinical diagnosis of prostate cancer.
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Affiliation(s)
- Deepak Kumar
- a Centre of Biomedical Research, SGPGIMS Campus , Lucknow , UP , India
| | - Ashish Gupta
- a Centre of Biomedical Research, SGPGIMS Campus , Lucknow , UP , India
| | - Kavindra Nath
- b Department of Radiology , University of Pennsylvania , Philadelphia , PA , USA
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Evaluation of Cancer Metabolomics Using ex vivo High Resolution Magic Angle Spinning (HRMAS) Magnetic Resonance Spectroscopy (MRS). Metabolites 2016; 6:metabo6010011. [PMID: 27011205 PMCID: PMC4812340 DOI: 10.3390/metabo6010011] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 03/15/2016] [Accepted: 03/17/2016] [Indexed: 12/14/2022] Open
Abstract
According to World Health Organization (WHO) estimates, cancer is responsible for more deaths than all coronary heart disease or stroke worldwide, serving as a major public health threat around the world. High resolution magic angle spinning (HRMAS) magnetic resonance spectroscopy (MRS) has demonstrated its usefulness in the identification of cancer metabolic markers with the potential to improve diagnosis and prognosis for the oncology clinic, due partially to its ability to preserve tissue architecture for subsequent histological and molecular pathology analysis. Capable of the quantification of individual metabolites, ratios of metabolites, and entire metabolomic profiles, HRMAS MRS is one of the major techniques now used in cancer metabolomic research. This article reviews and discusses literature reports of HRMAS MRS studies of cancer metabolomics published between 2010 and 2015 according to anatomical origins, including brain, breast, prostate, lung, gastrointestinal, and neuroendocrine cancers. These studies focused on improving diagnosis and understanding patient prognostication, monitoring treatment effects, as well as correlating with the use of in vivo MRS in cancer clinics.
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Tian Y, Xu T, Huang J, Zhang L, Xu S, Xiong B, Wang Y, Tang H. Tissue Metabonomic Phenotyping for Diagnosis and Prognosis of Human Colorectal Cancer. Sci Rep 2016; 6:20790. [PMID: 26876567 PMCID: PMC4753490 DOI: 10.1038/srep20790] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 01/12/2016] [Indexed: 12/15/2022] Open
Abstract
Colorectal cancer (CRC) is one of the leading causes of cancer-related death worldwide and prognosis based on the conventional histological grading method for CRC remains poor. To better the situation, we analyzed the metabonomic signatures of 50 human CRC tissues and their adjacent non-involved tissues (ANIT) using high-resolution magic-angle spinning (HRMAS) (1)H NMR spectroscopy together with the fatty acid compositions of these tissues using GC-FID/MS. We showed that tissue metabolic phenotypes not only discriminated CRC tissues from ANIT, but also distinguished low-grade tumor tissues (stages I-II) from the high-grade ones (stages III-IV) with high sensitivity and specificity in both cases. Metabonomic phenotypes of CRC tissues differed significantly from that of ANIT in energy metabolism, membrane biosynthesis and degradations, osmotic regulations together with the metabolism of proteins and nucleotides. Amongst all CRC tissues, the stage I tumors exhibited largest differentiations from ANIT. The combination of the differentiating metabolites showed outstanding collective power for differentiating cancer from ANIT and for distinguishing CRC tissues at different stages. These findings revealed details in the typical metabonomic phenotypes associated with CRC tissues nondestructively and demonstrated tissue metabonomic phenotyping as an important molecular pathology tool for diagnosis and prognosis of cancerous solid tumors.
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Affiliation(s)
- Yuan Tian
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Tangpeng Xu
- Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, 430071, China
| | - Jia Huang
- Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
- Department of Hepatobiliary Surgery, China-Japan Friendship Hospital, Beijing, 100029, China
| | - Limin Zhang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Shan Xu
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, China
| | - Bin Xiong
- Department of Oncology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Yulan Wang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, China
- Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, 310058, China
| | - Huiru Tang
- CAS Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, National Centre for Magnetic Resonance in Wuhan, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, China
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Ministry of Education Key Laboratory of Contemporary Anthropology, Metabonomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai, 200438, China
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Ratai EM, Gilberto González R. Clinical magnetic resonance spectroscopy of the central nervous system. HANDBOOK OF CLINICAL NEUROLOGY 2016; 135:93-116. [PMID: 27432661 DOI: 10.1016/b978-0-444-53485-9.00005-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
Proton magnetic resonance spectroscopy (1H MRS) is a noninvasive imaging technique that can easily be added to the conventional magnetic resonance (MR) imaging sequences. Using MRS one can directly compare spectra from pathologic or abnormal tissue and normal tissue. Metabolic changes arising from pathology that can be visualized by MRS may not be apparent from anatomy that can be visualized by conventional MR imaging. In addition, metabolic changes may precede anatomic changes. Thus, MRS is used for diagnostics, to observe disease progression, monitor therapeutic treatments, and to understand the pathogenesis of diseases. MRS may have an important impact on patient management. The purpose of this chapter is to provide practical guidance in the clinical application of MRS of the brain. This chapter provides an overview of MRS-detectable metabolites and their significance. In addition some specific current clinical applications of MRS will be discussed, including brain tumors, inborn errors of metabolism, leukodystrophies, ischemia, epilepsy, and neurodegenerative diseases. The chapter concludes with technical considerations and challenges of clinical MRS.
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Affiliation(s)
- Eva-Maria Ratai
- Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, and Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA.
| | - R Gilberto González
- Division of Neuroradiology, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, and Athinoula A. Martinos Center for Biomedical Imaging, Boston, MA, USA
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Constantinou C, Apidianakis Y, Psychogios N, Righi V, Mindrinos MN, Khan N, Swartz HM, Szeto HH, Tompkins RG, Rahme LG, Tzika AA. In vivo high-resolution magic angle spinning magnetic and electron paramagnetic resonance spectroscopic analysis of mitochondria-targeted peptide in Drosophila melanogaster with trauma-induced thoracic injury. Int J Mol Med 2015; 37:299-308. [PMID: 26648055 PMCID: PMC4716799 DOI: 10.3892/ijmm.2015.2426] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2015] [Accepted: 10/29/2015] [Indexed: 01/01/2023] Open
Abstract
Trauma is the most common cause of mortality among individuals aged between 1 and 44 years and the third leading cause of mortality overall in the US. In this study, we examined the effects of trauma on the expression of genes in Drosophila melanogaster, a useful model for investigating genetics and physiology. After trauma was induced by a non-lethal needle puncture of the thorax, we observed the differential expression of genes encoding for mitochondrial uncoupling proteins, as well as those encoding for apoptosis-related and insulin signaling-related proteins, thus indicating muscle functional dysregulation. These results prompted us to examine the link between insulin signaling and mitochondrial dysfunction using in vivo nuclear magnetic resonance (NMR) with complementary electron paramagnetic resonance (EPR) spectroscopy. Trauma significantly increased insulin resistance biomarkers, and the NMR spectral profile of the aged flies with trauma-induced thoracic injury resembled that of insulin-resistant chico mutant flies. In addition, the mitochondrial redox status, as measured by EPR, was significantly altered following trauma, indicating mitochondrial uncoupling. A mitochondria-targeted compound, Szeto-Schiller (SS)-31 that promotes adenosine triphosphate (ATP) synthesis normalized the NMR spectral profile, as well as the mitochondrial redox status of the flies with trauma-induced thoracic injury, as assessed by EPR. Based on these findings, we propose a molecular mechanism responsible for trauma-related mortality and also propose that trauma sequelae in aging are linked to insulin signaling and mitochondrial dysfunction. Our findings further suggest that SS-31 attenuates trauma-associated pathological changes.
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Affiliation(s)
- Caterina Constantinou
- NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA
| | - Yiorgos Apidianakis
- Molecular Surgery Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA
| | - Nikolaos Psychogios
- NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA
| | - Valeria Righi
- NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA
| | - Michael N Mindrinos
- Department of Biochemistry, Stanford University School of Medicine, Stanford, CA, USA
| | - Nadeem Khan
- EPR Center for Viable Systems, Department of Diagnostic Radiology, The Geisel School of Medicine, Lebanon, NH, USA
| | - Harold M Swartz
- EPR Center for Viable Systems, Department of Diagnostic Radiology, The Geisel School of Medicine, Lebanon, NH, USA
| | - Hazel H Szeto
- Department of Pharmacology, Joan and Sanford I. Weill Medical College of Cornell University, New York, NY, USA
| | - Ronald G Tompkins
- Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Laurence G Rahme
- Molecular Surgery Laboratory, Center for Surgery, Innovation and Bioengineering, Department of Surgery, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA
| | - A Aria Tzika
- NMR Surgical Laboratory, Department of Surgery, Massachusetts General Hospital and Shriners Burns Institute, Harvard Medical School, Boston, MA, USA
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40
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Sajja VSSS, Hubbard WB, Hall CS, Ghoddoussi F, Galloway MP, VandeVord PJ. Enduring deficits in memory and neuronal pathology after blast-induced traumatic brain injury. Sci Rep 2015; 5:15075. [PMID: 26537106 PMCID: PMC4633584 DOI: 10.1038/srep15075] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2015] [Accepted: 09/15/2015] [Indexed: 01/06/2023] Open
Abstract
Few preclinical studies have assessed the long-term neuropathology and behavioral deficits after sustaining blast-induced neurotrauma (BINT). Previous studies have shown extensive astrogliosis and cell death at acute stages (<7 days) but the temporal response at a chronic stage has yet to be ascertained. Here, we used behavioral assays, immmunohistochemistry and neurochemistry in limbic areas such as the amygdala (Amy), Hippocampus (Hipp), nucleus accumbens (Nac), and prefrontal cortex (PFC), to determine the long-term effects of a single blast exposure. Behavioral results identified elevated avoidance behavior and decreased short-term memory at either one or three months after a single blast event. At three months after BINT, markers for neurodegeneration (FJB) and microglia activation (Iba-1) increased while index of mature neurons (NeuN) significantly decreased in all brain regions examined. Gliosis (GFAP) increased in all regions except the Nac but only PFC was positive for apoptosis (caspase-3). At three months, tau was selectively elevated in the PFC and Hipp whereas α-synuclein transiently increased in the Hipp at one month after blast exposure. The composite neurochemical measure, myo-inositol+glycine/creatine, was consistently increased in each brain region three months following blast. Overall, a single blast event resulted in enduring long-term effects on behavior and neuropathological sequelae.
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Affiliation(s)
| | - W Brad Hubbard
- School of Biomedical Engineering and Sciences, Virginia Polytechnic and State University, Blacksburg, VA
| | - Christina S Hall
- School of Biomedical Engineering and Sciences, Virginia Polytechnic and State University, Blacksburg, VA
| | - Farhad Ghoddoussi
- Department of Anesthesiology, Wayne State University School of Medicine, Detroit, MI
| | - Matthew P Galloway
- Department of Anesthesiology, Wayne State University School of Medicine, Detroit, MI.,Department of Psychiatry, Wayne State University School of Medicine, Detroit, MI
| | - Pamela J VandeVord
- School of Biomedical Engineering and Sciences, Virginia Polytechnic and State University, Blacksburg, VA.,Salem VA Medical Center, Research &Development Service, Salem, VA, USA
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41
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Integrative metabonomics as potential method for diagnosis of thyroid malignancy. Sci Rep 2015; 5:14869. [PMID: 26486570 PMCID: PMC4613561 DOI: 10.1038/srep14869] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2015] [Accepted: 09/10/2015] [Indexed: 12/22/2022] Open
Abstract
Thyroid nodules can be classified into benign and malignant tumors. However, distinguishing between these two types of tumors can be challenging in clinics. Since malignant nodules require surgical intervention whereas asymptomatic benign tumors do not, there is an urgent need for new techniques that enable accurate diagnosis of malignant thyroid nodules. Here, we used 1H NMR spectroscopy coupled with pattern recognition techniques to analyze the metabonomes of thyroid tissues and their extracts from thyroid lesion patients (n = 53) and their adjacent healthy thyroid tissues (n = 46). We also measured fatty acid compositions using GC−FID/MS techniques as complementary information. We demonstrate that thyroid lesion tissues can be clearly distinguishable from healthy tissues, and malignant tumors can also be distinguished from the benign tumors based on the metabolic profiles, both with high sensitivity and specificity. In addition, we show that thyroid lesions are accompanied with disturbances of multiple metabolic pathways, including alterations in energy metabolism (glycolysis, lipid and TCA cycle), promotions in protein turnover, nucleotide biosynthesis as well as phosphatidylcholine biosynthesis. These findings provide essential information on the metabolic features of thyroid lesions and demonstrate that metabonomics technology can be potentially useful in the rapid and accurate preoperative diagnosis of malignant thyroid nodules.
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42
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Feng Y, Zhu H, Zhang X, Wang X, Xu F, Tang H, Ye C, Liu M. NMR Based Cerebrum Metabonomic Analysis Reveals Simultaneous Interconnected Changes during Chick Embryo Incubation. PLoS One 2015; 10:e0139948. [PMID: 26485040 PMCID: PMC4618859 DOI: 10.1371/journal.pone.0139948] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2015] [Accepted: 09/18/2015] [Indexed: 11/18/2022] Open
Abstract
To find out if content changes of the major functional cerebrum metabolites are interconnected and formed a network during the brain development, we obtained high-resolution magic-angle-spinning (HR-MAS) 1H NMR spectra of cerebrum tissues of chick embryo aged from incubation day 10 to 20, and postnatal day 1, and analyzed the data with principal component analysis (PCA). Within the examined time window, 26 biological important molecules were identified and 12 of them changed their relative concentration significantly in a time-dependent manner. These metabolites are generally belonged to three categories, neurotransmitters, nutrition sources, and neuronal or glial markers. The relative concentration changes of the metabolites were interconnected among/between the categories, and, more interestingly, associated with the number and size of Nissl-positive neurons. These results provided valuable biochemical and neurochemical information to understand the development of the embryonic brain.
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Affiliation(s)
- Yue Feng
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland, Baltimore, Maryland, 21201, United States of America
| | - Hang Zhu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Xu Zhang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Xuxia Wang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Fuqiang Xu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Huiru Tang
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Chaohui Ye
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
| | - Maili Liu
- State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Center for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan, 430071, P. R. China
- * E-mail:
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Li N, Song YP, Tang H, Wang Y. Recent developments in sample preparation and data pre-treatment in metabonomics research. Arch Biochem Biophys 2015; 589:4-9. [PMID: 26342458 DOI: 10.1016/j.abb.2015.08.024] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 08/27/2015] [Accepted: 08/30/2015] [Indexed: 12/13/2022]
Abstract
Metabonomics is a powerful approach for biomarker discovery and an effective tool for pinpointing endpoint metabolic effects of external stimuli, such as pathogens and disease development. Due to its wide applications, metabonomics is required to deal with various biological samples of different properties. Hence sample preparation and corresponding data pre-treatment become important factors in ensuring validity of an investigation. In this review, we summarize some recent developments in metabonomics sample preparation and data-pretreatment procedures.
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Affiliation(s)
- Ning Li
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China
| | - Yi peng Song
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China
| | - Huiru Tang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China; State Key Laboratory of Genetic Engineering, Collaborative Innovation Center for Genetics and Development, Metabolomics and Systems Biology Laboratory, School of Life Sciences, Fudan University, Shanghai 200433, PR China
| | - Yulan Wang
- Key Laboratory of Magnetic Resonance in Biological Systems, State Key Laboratory of Magnetic Resonance and Atomic and Molecular Physics, Wuhan Centre for Magnetic Resonance, Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, PR China; Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou, PR China.
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Guy AT, Nagatsuka Y, Ooashi N, Inoue M, Nakata A, Greimel P, Inoue A, Nabetani T, Murayama A, Ohta K, Ito Y, Aoki J, Hirabayashi Y, Kamiguchi H. Glycerophospholipid regulation of modality-specific sensory axon guidance in the spinal cord. Science 2015; 349:974-7. [DOI: 10.1126/science.aab3516] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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45
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Magnetic resonance spectroscopy and imaging on fresh human brain tumor biopsies at microscopic resolution. Anal Bioanal Chem 2015; 407:6771-80. [PMID: 26123440 DOI: 10.1007/s00216-015-8847-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2015] [Revised: 06/04/2015] [Accepted: 06/10/2015] [Indexed: 12/16/2022]
Abstract
The metabolic composition and concentration knowledge provided by magnetic resonance spectroscopy (MRS) liquid and high-resolution magic angle spinning spectroscopy (HR-MAS) has a relevant impact in clinical practice during magnetic resonance imaging (MRI) monitoring of human tumors. In addition, the combination of morphological and chemical information by MRI and MRS has been particularly useful for diagnosis and prognosis of tumor evolution. MRI spatial resolution reachable in human beings is limited for safety reasons and the demanding necessary conditions are only applicable on experimental model animals. Nevertheless, MRS and MRI can be performed on human biopsies at high spatial resolution, enough to allow a direct correlation between the chemical information and the histological features observed in such biopsies. Although HR-MAS is nowadays a well-established technique for spectroscopic analysis of tumor biopsies, with this approach just a mean metabolic profile of the whole sample can be obtained and thus the high histological heterogeneity of some important tumors is mostly neglected. The value of metabolic HR-MAS data strongly depends on a wide statistical analysis and usually the microanatomical rationale for the correlation between histology and spectroscopy is lost. We present here a different approach for the combined use of MRI and MRS on fresh human brain tumor biopsies with native contrast. This approach has been designed to achieve high spatial (18 × 18 × 50 μm) and spectral (0.031 μL) resolution in order to obtain as much spatially detailed morphological and metabolical information as possible without any previous treatment that can alter the sample. The preservation of native tissue conditions can provide information that can be translated to in vivo studies and additionally opens the possibility of performing other techniques to obtain complementary information from the same sample.
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Metabolite localization in living drosophila using High Resolution Magic Angle Spinning NMR. Sci Rep 2015; 5:9872. [PMID: 25892587 PMCID: PMC4402646 DOI: 10.1038/srep09872] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 03/06/2015] [Indexed: 11/17/2022] Open
Abstract
We have developed new methods enabling in vivo localization and identification of metabolites through their 1H NMR signatures, in a drosophila. Metabolic profiles in localized regions were obtained using HR-MAS Slice Localized Spectroscopy and Chemical Shift Imaging at high magnetic fields. These methods enabled measurement of metabolite contents in anatomic regions of the fly, demonstrated by a decrease in β-alanine signals in the thorax of flies showing muscle degeneration.
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Dumas ME, Davidovic L. Metabolic Profiling and Phenotyping of Central Nervous System Diseases: Metabolites Bring Insights into Brain Dysfunctions. J Neuroimmune Pharmacol 2015; 10:402-24. [PMID: 25616565 DOI: 10.1007/s11481-014-9578-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2014] [Accepted: 12/26/2014] [Indexed: 12/13/2022]
Abstract
Metabolic phenotyping corresponds to the large-scale quantitative and qualitative analysis of the metabolome i.e., the low-molecular weight <1 KDa fraction in biological samples, and provides a key opportunity to advance neurosciences. Proton nuclear magnetic resonance and mass spectrometry are the main analytical platforms used for metabolic profiling, enabling detection and quantitation of a wide range of compounds of particular neuro-pharmacological and physiological relevance, including neurotransmitters, secondary messengers, structural lipids, as well as their precursors, intermediates and degradation products. Metabolic profiling is therefore particularly indicated for the study of central nervous system by probing metabolic and neurochemical profiles of the healthy or diseased brain, in preclinical models or in human samples. In this review, we introduce the analytical and statistical requirements for metabolic profiling. Then, we focus on key studies in the field of metabolic profiling applied to the characterization of animal models and human samples of central nervous system disorders. We highlight the potential of metabolic profiling for pharmacological and physiological evaluation, diagnosis and drug therapy monitoring of patients affected by brain disorders. Finally, we discuss the current challenges in the field, including the development of systems biology and pharmacology strategies improving our understanding of metabolic signatures and mechanisms of central nervous system diseases.
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Affiliation(s)
- Marc-Emmanuel Dumas
- Section of Biomolecular Medicine, Division of Computational and Systems Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, Exhibition Road, South Kensington, London, SW7 2AZ, UK
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André M, Dumez JN, Rezig L, Shintu L, Piotto M, Caldarelli S. Complete protocol for slow-spinning high-resolution magic-angle spinning NMR analysis of fragile tissues. Anal Chem 2014; 86:10749-54. [PMID: 25286333 DOI: 10.1021/ac502792u] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
High-resolution magic-angle spinning (HR-MAS) nuclear magnetic resonance (NMR) is an essential tool to characterize a variety of semisolid systems, including biological tissues, with virtually no sample preparation. The "non-destructive" nature of NMR is typically compromised, however, by the extreme centrifugal forces experienced under conventional HR-MAS frequencies of several kilohertz. These features limit the usefulness of current HR-MAS approaches for fragile samples. Here, we introduce a full protocol for acquiring high-quality HR-MAS NMR spectra of biological tissues at low spinning rates (down to a few hundred hertz). The protocol first consists of a carefully designed sample preparation, which yields spectra without significant spinning sidebands at low spinning frequency for several types of sample holders, including the standard disposable inserts classically used in HR-MAS NMR-based metabolomics. Suppression of broad spectral features is then achieved using a modified version of the recently introduced PROJECT experiment with added water suppression and rotor synchronization, which deposits limited power in the sample and which can be suitably rotor-synchronized at low spinning rates. The performance of the slow HR-MAS NMR procedure is demonstrated on conventional (liver tissue) and very delicate (fish eggs) samples, for which the slow-spinning conditions are shown to preserve the structural integrity and to minimize intercompartmental leaks of metabolites. Taken together, these results expand the applicability and reliability of HR-MAS NMR spectroscopy. These results have been obtained at 400 and 600 MHz and suggest that high-quality slow HR-MAS spectra can be expected at higher magnetic fields using the described protocol.
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Affiliation(s)
- Marion André
- Institut de Chimie des Substances Naturelles, CNRS UPR 2301 , Avenue de la Terrasse, 91190 Gif sur Yvette, France
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Mahrous EA, Farag MA. Two dimensional NMR spectroscopic approaches for exploring plant metabolome: A review. J Adv Res 2014; 6:3-15. [PMID: 25685540 PMCID: PMC4293671 DOI: 10.1016/j.jare.2014.10.003] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 10/09/2014] [Accepted: 10/11/2014] [Indexed: 01/06/2023] Open
Abstract
Today, most investigations of the plant metabolome tend to be based on either nuclear magnetic resonance (NMR) spectroscopy or mass spectrometry (MS), with or without hyphenation with chromatography. Although less sensitive than MS, NMR provides a powerful complementary technique for the identification and quantification of metabolites in plant extracts. NMR spectroscopy, well appreciated by phytochemists as a particularly information-rich method, showed recent paradigm shift for the improving of metabolome(s) structural and functional characterization and for advancing the understanding of many biological processes. Furthermore, two dimensional NMR (2D NMR) experiments and the use of chemometric data analysis of NMR spectra have proven highly effective at identifying novel and known metabolites that correlate with changes in genotype or phenotype. In this review, we provide an overview of the development of NMR in the field of metabolomics with special focus on 2D NMR spectroscopic techniques and their applications in phytomedicines quality control analysis and drug discovery from natural sources, raising more attention at its potential to reduce the gap between the pace of natural products research and modern drug discovery demand.
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Affiliation(s)
- Engy A Mahrous
- Pharmacognosy Department, College of Pharmacy, Cairo University, Cairo, Kasr el Aini st. P.B. 11562, Egypt
| | - Mohamed A Farag
- Pharmacognosy Department, College of Pharmacy, Cairo University, Cairo, Kasr el Aini st. P.B. 11562, Egypt
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Paslakis G, Träber F, Roberz J, Block W, Jessen F. N-acetyl-aspartate (NAA) as a correlate of pharmacological treatment in psychiatric disorders: a systematic review. Eur Neuropsychopharmacol 2014; 24:1659-75. [PMID: 25130303 DOI: 10.1016/j.euroneuro.2014.06.004] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Revised: 04/22/2014] [Accepted: 06/11/2014] [Indexed: 11/28/2022]
Abstract
The amino-acid N-acetyl-aspartate (NAA) is located in neurons and the concentration of NAA correlates with neuronal mitochondrial function. The signal of NAA, as measured with proton magnetic resonance spectroscopy (1H-MRS), is considered to reflect both, neuronal density and integrity of neuronal mitochondria. A reduction of the NAA concentrations has been found in several psychiatric disorders. Newer studies report reversal of decreased NAA concentration with treatment. The objective of this review is to summarize the literature on NAA changes in association with psychopharmacological treatment in psychiatric disorders (affective disorders, obsessive-compulsive disorder, schizophrenia and dementia). The majority of studies identified increased NAA concentrations in response to treatment, while a smaller number of studies did not find this effect. The NAA increase seems to be neither specific for a certain disorder nor for a specific intervention. This suggests that the reduction of NAA may represent an altered functional (metabolic) state of neurons common to different psychiatric disorders and the increase after treatment to indicate functional restoration as one general effect of interventions.
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Affiliation(s)
| | - Frank Träber
- Department of Radiology, University of Bonn, Germany
| | - Jens Roberz
- Department of Psychiatry, University of Bonn, Germany
| | | | - Frank Jessen
- Department of Psychiatry, University of Bonn, Germany; German Center for Neurogenerative Diseases (DZNE), Bonn, Germany.
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