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Cao J, Martin-Lorenzo M, van Kuijk K, Wieland EB, Gijbels MJ, Claes BSR, Heredero A, Aldamiz-Echevarria G, Heeren RMA, Goossens P, Sluimer JC, Balluff B, Alvarez-Llamas G. Spatial Metabolomics Identifies LPC(18:0) and LPA(18:1) in Advanced Atheroma With Translation to Plasma for Cardiovascular Risk Estimation. Arterioscler Thromb Vasc Biol 2024; 44:741-754. [PMID: 38299357 DOI: 10.1161/atvbaha.123.320278] [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: 10/23/2023] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND The metabolic alterations occurring within the arterial architecture during atherosclerosis development remain poorly understood, let alone those particular to each arterial tunica. We aimed first to identify, in a spatially resolved manner, the specific metabolic changes in plaque, media, adventitia, and cardiac tissue between control and atherosclerotic murine aortas. Second, we assessed their translatability to human tissue and plasma for cardiovascular risk estimation. METHODS In this observational study, mass spectrometry imaging (MSI) was applied to identify region-specific metabolic differences between atherosclerotic (n=11) and control (n=11) aortas from low-density lipoprotein receptor-deficient mice, via histology-guided virtual microdissection. Early and advanced plaques were compared within the same atherosclerotic animals. Progression metabolites were further analyzed by MSI in 9 human atherosclerotic carotids and by targeted mass spectrometry in human plasma from subjects with elective coronary artery bypass grafting (cardiovascular risk group, n=27) and a control group (n=27). RESULTS MSI identified 362 local metabolic alterations in atherosclerotic mice (log2 fold-change ≥1.5; P≤0.05). The lipid composition of cardiac tissue is altered during atherosclerosis development and presents a generalized accumulation of glycerophospholipids, except for lysolipids. Lysolipids (among other glycerophospholipids) were found at elevated levels in all 3 arterial layers of atherosclerotic aortas. LPC(18:0) (lysophosphatidylcholine; P=0.024) and LPA(18:1) (lysophosphatidic acid; P=0.025) were found to be significantly elevated in advanced plaques as compared with mouse-matched early plaques. Higher levels of both lipid species were also observed in fibrosis-rich areas of advanced- versus early-stage human samples. They were found to be significantly reduced in human plasma from subjects with elective coronary artery bypass grafting (P<0.001 and P=0.031, respectively), with LPC(18:0) showing significant association with cardiovascular risk (odds ratio, 0.479 [95% CI, 0.225-0.883]; P=0.032) and diagnostic potential (area under the curve, 0.778 [95% CI, 0.638-0.917]). CONCLUSIONS An altered phospholipid metabolism occurs in atherosclerosis, affecting both the aorta and the adjacent heart tissue. Plaque-progression lipids LPC(18:0) and LPA(18:1), as identified by MSI on tissue, reflect cardiovascular risk in human plasma.
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Affiliation(s)
- Jianhua Cao
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Marta Martin-Lorenzo
- Immunology Department, IIS-Fundación Jiménez Díaz-UAM, Madrid, Spain (M.M.-L., G.A.-L.)
| | - Kim van Kuijk
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Elias B Wieland
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Marion J Gijbels
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
- Department of Medical Biochemistry, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences, Amsterdam Infection and Immunity, Amsterdam UMC, the Netherlands (M.J.G.)
| | - Britt S R Claes
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Angeles Heredero
- Cardiac Surgery Service, Fundación Jiménez Díaz University Hospital-UAM, Madrid, Spain (A.H., G.A.-E.)
| | | | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Pieter Goossens
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Judith C Sluimer
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
- Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (J.C.S.)
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Gloria Alvarez-Llamas
- Immunology Department, IIS-Fundación Jiménez Díaz-UAM, Madrid, Spain (M.M.-L., G.A.-L.)
- RICORS2040, IIS-Fundación Jiménez Díaz, Madrid, Spain (G.A.-L.)
- Biochemistry and Molecular Biology Department, Complutense University, Madrid, Spain (G.A.-L.)
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Murakami M, Sun N, Li F, Feuchtinger A, Gomez-Sanchez C, Fassnacht M, Reincke M, Bancos I, Walch A, Kroiss M, Beuschlein F. In Situ Metabolomics of Cortisol-Producing Adenomas. Clin Chem 2023; 69:149-159. [PMID: 36544353 PMCID: PMC9898844 DOI: 10.1093/clinchem/hvac191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 10/11/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Recent advances in omics techniques have allowed detailed genetic characterization of cortisol-producing adrenal adenoma (CPA). In contrast, the pathophysiology of CPAs has not been elucidated in detail on the level of tumor metabolic alterations. METHODS The current study conducted a comprehensive mass spectrometry imaging (MSI) map of CPAs in relation to clinical phenotypes and immunohistochemical profiles of steroidogenic enzymes. The study cohort comprised 46 patients with adrenal tumors including CPAs (n 35) and nonfunctional adenomas (n 11). RESULTS Severity of cortisol hypersecretion was significantly correlated with 29 metabolites (adjusted P 0.05). Adrenal androgens derived from the classic androgen pathway were inversely correlated with both cortisol secretion (rs 0.41, adjusted P 0.035) and CYP11B1 expression (rs 0.77, adjusted P 2.00E-08). The extent of cortisol excess and tumor CYP11B1 expression further correlated with serotonin (rs 0.48 and 0.62, adjusted P 0.008 and 2.41E-05). Tumor size was found to be correlated with abundance of 13 fatty acids (adjusted P 0.05) and negatively associated with 9 polyunsaturated fatty acids including phosphatidic acid 38:8 (rs 0.56, adjusted P 0.009). CONCLUSIONS MSI reveals novel metabolic links between endocrine function and tumorigenesis, which will further support the understanding of CPA pathophysiology.
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Affiliation(s)
- Masanori Murakami
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany,Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Fengxia Li
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany,Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Göttingen, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Celso Gomez-Sanchez
- Division of Endocrinology, G.V. (Sonny) Montgomery VA Medical Center and the University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Martin Fassnacht
- Department of Internal Medicine I, Division of Endocrinology and Diabetology, University Hospital Würzburg, University of Würzburg, Würzburg, Germany
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Irina Bancos
- Division of Endocrinology, Mayo Clinic, Rochester, Minnesota, USA
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Matthias Kroiss
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany,Department of Internal Medicine I, Division of Endocrinology and Diabetology, University Hospital Würzburg, University of Würzburg, Würzburg, Germany,Comprehensive Cancer Center Mainfranken, University of Würzburg, Würzburg, Germany
| | - Felix Beuschlein
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany,Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Zurich, Switzerland
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3
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Gorka M, Thomas A, Bécue A. Chemical composition of the fingermark residue: Assessment of the intravariability over one year using MALDI-MSI. Forensic Sci Int 2022; 338:111380. [PMID: 35849992 DOI: 10.1016/j.forsciint.2022.111380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/27/2022] [Accepted: 07/06/2022] [Indexed: 11/04/2022]
Abstract
These past years, the chemical composition of fingermarks have attracted interest of researchers to meet multiple objectives like the determination of an individual's age, gender or lifestyle or the impact of some fingermark detection processes, to cite a few. These studies have highlighted the need to investigate the consistency of the fingermark composition over time. This research explores the evolution of the secretion residue composition of thirteen donors over one year, focusing on the intravariability. The dual use of Matrix-Assisted Laser Desorption/Ionisation Mass Spectrometry Imaging (MALDI-MSI) and chemometrics provided valuable data regarding the evolution of composition over time as well as the consistency of presence of hundreds of compounds.
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Affiliation(s)
- Marie Gorka
- School of Criminal Justice, Faculty of Law, Criminal Justice, and Public Administration, University of Lausanne, Switzerland.
| | - Aurélien Thomas
- Faculty Unit of Toxicology, University Center of Legal Medicine, Vulliette 04, 1000 Lausanne, Switzerland.
| | - Andy Bécue
- School of Criminal Justice, Faculty of Law, Criminal Justice, and Public Administration, University of Lausanne, Switzerland.
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Capturing the third dimension in drug discovery: Spatially-resolved tools for interrogation of complex 3D cell models. Biotechnol Adv 2021; 55:107883. [PMID: 34875362 DOI: 10.1016/j.biotechadv.2021.107883] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 11/22/2021] [Accepted: 11/30/2021] [Indexed: 02/07/2023]
Abstract
Advanced three-dimensional (3D) cell models have proven to be capable of depicting architectural and microenvironmental features of several tissues. By providing data of higher physiological and pathophysiological relevance, 3D cell models have been contributing to a better understanding of human development, pathology onset and progression mechanisms, as well as for 3D cell-based assays for drug discovery. Nonetheless, the characterization and interrogation of these tissue-like structures pose major challenges on the conventional analytical methods, pushing the development of spatially-resolved technologies. Herein, we review recent advances and pioneering technologies suitable for the interrogation of multicellular 3D models, while capable of retaining biological spatial information. We focused on imaging technologies and omics tools, namely transcriptomics, proteomics and metabolomics. The advantages and shortcomings of these novel methodologies are discussed, alongside the opportunities to intertwine data from the different tools.
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5
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Sun N, Meyer LS, Feuchtinger A, Kunzke T, Knösel T, Reincke M, Walch A, Williams TA. Mass Spectrometry Imaging Establishes 2 Distinct Metabolic Phenotypes of Aldosterone-Producing Cell Clusters in Primary Aldosteronism. Hypertension 2020; 75:634-644. [PMID: 31957522 DOI: 10.1161/hypertensionaha.119.14041] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Aldosterone-producing adenomas (APAs) are one of the main causes of primary aldosteronism and the most prevalent surgically correctable form of hypertension. Aldosterone-producing cell clusters (APCCs) comprise tight nests of zona glomerulosa cells, strongly positive for CYP11B2 (aldosterone synthase) in immunohistochemistry. APCCs have been suggested as possible precursors of APAs because they frequently carry driver mutations for constitutive aldosterone production, and a few adrenal lesions with histopathologic features of both APCCs and APAs have been identified. Our objective was to investigate the metabolic phenotypes of APCCs (n=27) compared with APAs (n=6) using in situ matrix-assisted laser desorption/ionization mass spectrometry imaging of formalin-fixed paraffin-embedded adrenals from patients with unilateral primary aldosteronism. Specific distribution patterns of metabolites were associated with APCCs and classified 2 separate APCC subgroups (subgroups 1 and 2) indistinguishable by CYP11B2 immunohistochemistry. Metabolic profiles of APCCs in subgroup 1 were tightly clustered and distinct from subgroup 2 and APAs. Multiple APCCs from the same adrenal displayed metabolic profiles of the same subgroup. Metabolites of APCC subgroup 2 were highly similar to the APA group and indicated enhanced metabolic pathways favoring cell proliferation compared with APCC subgroup 1. In conclusion, we demonstrate specific subgroups of APCCs with strikingly divergent distribution patterns of metabolites. One subgroup displays a metabolic phenotype convergent with APAs and may represent the progression of APCCs to APAs.
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Affiliation(s)
- Na Sun
- From the Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München (N.S., A.F., T. Kunzke, A.W.)
| | - Lucie S Meyer
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Germany (L.S.M., M.R., T.A.W.)
| | - Annette Feuchtinger
- From the Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München (N.S., A.F., T. Kunzke, A.W.)
| | - Thomas Kunzke
- From the Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München (N.S., A.F., T. Kunzke, A.W.)
| | - Thomas Knösel
- Institute of Pathology, Ludwig-Maximilians-Universität München, Germany (T. Knösel)
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Germany (L.S.M., M.R., T.A.W.)
| | - Axel Walch
- From the Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München (N.S., A.F., T. Kunzke, A.W.)
| | - Tracy Ann Williams
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität München, LMU München, Germany (L.S.M., M.R., T.A.W.).,Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Italy (T.A.W.)
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6
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Sun N, Kunzke T, Sbiera S, Kircher S, Feuchtinger A, Aichler M, Herterich S, Ronchi CL, Weigand I, Schlegel N, Waldmann J, Candida Villares Fragoso M, Whitsett TG, Gill AJ, Fassnacht M, Walch A, Kroiss M. Prognostic Relevance of Steroid Sulfation in Adrenocortical Carcinoma Revealed by Molecular Phenotyping Using High-Resolution Mass Spectrometry Imaging. Clin Chem 2019; 65:1276-1286. [PMID: 31492715 DOI: 10.1373/clinchem.2019.306043] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 07/23/2019] [Indexed: 12/16/2022]
Abstract
BACKGROUND Adrenocortical carcinoma (ACC) is a rare tumor with variable prognosis even within the same tumor stage. Cancer-related sex hormones and their sulfated metabolites in body fluids can be used as tumor markers. The role of steroid sulfation in ACC has not yet been studied. MALDI mass spectrometry imaging (MALDI-MSI) is a novel tool for tissue-based chemical phenotyping. METHODS We performed phenotyping of formalin-fixed, paraffin-embedded tissue samples from 72 ACC by MALDI-MSI at a metabolomics level. RESULTS Tumoral steroid hormone metabolites-estradiol sulfate [hazard ratio (HR) 0.26; 95% CI, 0.10-0.69; P = 0.005] and estrone 3-sulfate (HR 0.22; 95% CI, 0.07-0.63; P = 0.003)-were significantly associated with prognosis in Kaplan-Meier analyses and after multivariable adjustment for age, tumor stage, and sex (HR 0.29; 95% CI, 0.11-0.79; P = 0.015 and HR 0.30; 95% CI, 0.10-0.91; P = 0.033, respectively). Expression of sulfotransferase SULT2A1 was associated with prognosis to a similar extent and was validated to be a prognostic factor in two published data sets. We discovered the presence of estradiol-17β 3,17-disulfate (E2S2) in a subset of tumors with particularly poor overall survival. Electron microscopy revealed novel membrane-delimited organelles in only these tumors. By applying cluster analyses of metabolomic data, 3 sulfation-related phenotypes exhibited specific metabolic features unrelated to steroid metabolism. CONCLUSIONS MALDI-MSI provides novel insights into the pathophysiology of ACC. Steroid hormone sulfation may be used for prognostication and treatment stratification. Sulfation-related metabolic reprogramming may be of relevance also in conditions beyond the rare ACC and can be directly investigated by the use of MALDI-MSI.
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Affiliation(s)
- Na Sun
- Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany;
| | - Thomas Kunzke
- Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany;
| | - Silviu Sbiera
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, Würzburg, Germany
| | - Stefan Kircher
- Institute of Pathology, University of Würzburg, Würzburg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - Sabine Herterich
- Central Laboratory, University Hospital Würzburg, Würzburg, Germany
| | - Cristina L Ronchi
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, Würzburg, Germany.,Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
| | - Isabel Weigand
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, Würzburg, Germany
| | - Nicolas Schlegel
- Department of General, Visceral, Vascular, and Paediatric Surgery, University Hospital Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, University of Würzburg, Würzburg, Germany
| | | | | | | | - Anthony J Gill
- Royal North Shore Hospital and The University of Sydney, Sydney, Australia
| | - Martin Fassnacht
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, Würzburg, Germany.,Central Laboratory, University Hospital Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, University of Würzburg, Würzburg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, German Research Center for Environmental Health, Helmholtz Zentrum München, Neuherberg, Germany
| | - Matthias Kroiss
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, Würzburg, Germany; .,Central Laboratory, University Hospital Würzburg, Würzburg, Germany.,Comprehensive Cancer Center Mainfranken, University of Würzburg, Würzburg, Germany
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7
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Murakami M, Rhayem Y, Kunzke T, Sun N, Feuchtinger A, Ludwig P, Strom TM, Gomez-Sanchez C, Knösel T, Kirchner T, Williams TA, Reincke M, Walch AK, Beuschlein F. In situ metabolomics of aldosterone-producing adenomas. JCI Insight 2019; 4:130356. [PMID: 31484828 DOI: 10.1172/jci.insight.130356] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Accepted: 08/01/2019] [Indexed: 12/17/2022] Open
Abstract
Recent genetic examinations and multisteroid profiles have provided the basis for subclassification of aldosterone-producing adenomas (APAs). The objective of the current study was to produce a comprehensive, high-resolution mass spectrometry imaging (MSI) map of APAs in relation to morphometry, immunohistochemical profiles, mutational status, and clinical outcome. The study cohort comprised 136 patients with unilateral primary aldosteronism. Matrix-assisted laser desorption/ionization-Fourier transform-ion cyclotron resonance MSI was conducted, and metabolite profiles were analyzed with genotype/phenotype information, including digital image analysis from morphometry and IHC of steroidogenic enzymes. Distinct molecular signatures between KCNJ5- and CACNA1D-mutated APAs with significant differences of 137 metabolites, including metabolites of purine metabolism and steroidogenesis, were observed. Intratumor concentration of 18-oxocortisol and 18-hydroxycortisol were inversely correlated with the staining intensity of CYP11B1. Lower staining intensity of CYP11B1 and higher levels of 18-oxocortisol were associated with a higher probability of complete clinical success after surgery. The present study demonstrates distinct metabolomic profiles of APAs in relation to tumor genotype. In addition, we reveal an inverse correlation between cortisol derivatives and CYP11B1 and the impact of 18-oxocortisol and CYP11B1 on clinical outcome, which provides unprecedented insights into the pathophysiology, clinical features, and steroidogenesis of APAs.
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Affiliation(s)
- Masanori Murakami
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Yara Rhayem
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany
| | | | - Na Sun
- Research Unit Analytical Pathology and
| | | | - Philippe Ludwig
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Tim Matthias Strom
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Celso Gomez-Sanchez
- Division of Endocrinology, G.V. (Sonny) Montgomery VA Medical Center, and the University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Thomas Knösel
- Institute of Pathology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Thomas Kirchner
- Institute of Pathology, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Tracy Ann Williams
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany.,Division of Internal Medicine and Hypertension, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany
| | | | - Felix Beuschlein
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany.,Klinik für Endokrinologie, Diabetologie und Klinische Ernährung, Unviersitätsspital Zürich, Zurich, Switzerland
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8
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A new optimization strategy for MALDI FTICR MS tissue analysis for untargeted metabolomics using experimental design and data modeling. Anal Bioanal Chem 2019; 411:3891-3903. [PMID: 31093699 DOI: 10.1007/s00216-019-01863-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/27/2019] [Accepted: 04/23/2019] [Indexed: 12/13/2022]
Abstract
Ultra-high-resolution imaging mass spectrometry using matrix-assisted laser desorption ionization (MALDI) MS coupled to a Fourier transform ion cyclotron resonance (FTICR) mass analyzer is a powerful technique for the visualization of small molecule distribution within biological tissues. The FTICR MS provides ultra-high resolving power and mass accuracy that allows large molecular coverage and molecular formula assignments, both essential for untargeted metabolomics analysis. These performances require fine optimizations of the MALDI FTICR parameters. In this context, this study proposes a new strategy, using experimental design, for the optimization of ion transmission voltages and MALDI parameters, for tissue untargeted metabolomics analysis, in both positive and negative ionization modes. These experiments were conducted by assessing the effects of nine factors for ion transmission voltages and four factors for MALDI on the number of peaks, the weighted resolution, and the mean error within m/z 150-1000 mass range. For this purpose, fractional factorial designs were used with multiple linear regression (MLR) to evaluate factor effects and to optimize parameter values. The optimized values of ion transmission voltages (RF amplitude TOF, RF amplitude octopole, frequency transfer optic, RF frequency octopole, deflector plate, funnel 1, skimmer, funnel RF amplitude, time-of-flight, capillary exit), MALDI parameters (laser fluence, number of laser shots), and detection parameters (data size, number of scans) led to an increase of 32% and 18% of the number of peaks, an increase of 8% and 39% of the resolution, and a decrease of 56% and 34% of the mean error in positive and negative ionization modes, respectively. Graphical abstract.
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9
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Molecular composition of fingermarks: Assessment of the intra- and inter-variability in a small group of donors using MALDI-MSI. Forensic Chem 2019. [DOI: 10.1016/j.forc.2018.12.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
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10
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Vaysse PM, Heeren RMA, Porta T, Balluff B. Mass spectrometry imaging for clinical research - latest developments, applications, and current limitations. Analyst 2018. [PMID: 28642940 DOI: 10.1039/c7an00565b] [Citation(s) in RCA: 136] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mass spectrometry is being used in many clinical research areas ranging from toxicology to personalized medicine. Of all the mass spectrometry techniques, mass spectrometry imaging (MSI), in particular, has continuously grown towards clinical acceptance. Significant technological and methodological improvements have contributed to enhance the performance of MSI recently, pushing the limits of throughput, spatial resolution, and sensitivity. This has stimulated the spread of MSI usage across various biomedical research areas such as oncology, neurological disorders, cardiology, and rheumatology, just to name a few. After highlighting the latest major developments and applications touching all aspects of translational research (i.e. from early pre-clinical to clinical research), we will discuss the present challenges in translational research performed with MSI: data management and analysis, molecular coverage and identification capabilities, and finally, reproducibility across multiple research centers, which is the largest remaining obstacle in moving MSI towards clinical routine.
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Affiliation(s)
- Pierre-Maxence Vaysse
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Tiffany Porta
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
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11
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Laíns I, Gantner M, Murinello S, Lasky-Su JA, Miller JW, Friedlander M, Husain D. Metabolomics in the study of retinal health and disease. Prog Retin Eye Res 2018; 69:57-79. [PMID: 30423446 DOI: 10.1016/j.preteyeres.2018.11.002] [Citation(s) in RCA: 82] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 10/06/2018] [Accepted: 11/07/2018] [Indexed: 02/06/2023]
Abstract
Metabolomics is the qualitative and quantitative assessment of the metabolites (small molecules < 1.5 kDa) in body fluids. The metabolites are the downstream of the genetic transcription and translation processes and also downstream of the interactions with environmental exposures; thus, they are thought to closely relate to the phenotype, especially for multifactorial diseases. In the last decade, metabolomics has been increasingly used to identify biomarkers in disease, and it is currently recognized as a very powerful tool with great potential for clinical translation. The metabolome and the associated pathways also help improve our understanding of the pathophysiology and mechanisms of disease. While there has been increasing interest and research in metabolomics of the eye, the application of metabolomics to retinal diseases has been limited, even though these are leading causes of blindness. In this manuscript, we perform a comprehensive summary of the tools and knowledge required to perform a metabolomics study, and we highlight essential statistical methods for rigorous study design and data analysis. We review available protocols, summarize the best approaches, and address the current unmet need for information on collection and processing of tissues and biofluids that can be used for metabolomics of retinal diseases. Additionally, we critically analyze recent work in this field, both in animal models and in human clinical disease, including diabetic retinopathy and age-related macular degeneration. Finally, we identify opportunities for future research applying metabolomics to improve our current assessment and understanding of mechanisms of vitreoretinal diseases, and to hence improve patient assessment and care.
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Affiliation(s)
- Inês Laíns
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States; Faculty of Medicine, University of Coimbra, 3000 Coimbra, Portugal.
| | - Mari Gantner
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Salome Murinello
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Jessica A Lasky-Su
- Systems Genetics and Genomics Unit, Channing Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, United States.
| | - Joan W Miller
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States.
| | - Martin Friedlander
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Deeba Husain
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States.
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12
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Sun N, Fernandez IE, Wei M, Witting M, Aichler M, Feuchtinger A, Burgstaller G, Verleden SE, Schmitt-Kopplin P, Eickelberg O, Walch A. Pharmacometabolic response to pirfenidone in pulmonary fibrosis detected by MALDI-FTICR-MSI. Eur Respir J 2018; 52:13993003.02314-2017. [PMID: 30072508 DOI: 10.1183/13993003.02314-2017] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 07/15/2018] [Indexed: 11/05/2022]
Abstract
Idiopathic pulmonary fibrosis (IPF) is a fatal condition that reduces life expectancy and shows a limited response to available therapies. Pirfenidone has been approved for treatment of IPF, but little is known about the distinct metabolic changes that occur in the lung upon pirfenidone administration.Here, we performed a proof-of-concept study using high-resolution quantitative matrix-assisted laser desorption/ionisation Fourier-transform ion cyclotron resonance mass spectrometry imaging (MALDI-FTICR-MSI) to simultaneously detect, visualise and quantify in situ endogenous and exogenous metabolites in lungs of mice subjected to experimental fibrosis and human patients with IPF, and to assess the effect of pirfenidone treatment on metabolite levels.Metabolic pathway analysis and endogenous metabolite quantification revealed that pirfenidone treatment restores redox imbalance and glycolysis in IPF tissues, and downregulates ascorbate and aldarate metabolism, thereby likely contributing to in situ modulation of collagen processing. As such, we detected specific alterations in metabolite pathways in fibrosis and, importantly, metabolic recalibration following pirfenidone treatment.Together, these results highlight the suitability of high-resolution MALDI-FTICR-MSI for deciphering the therapeutic effects of pirfenidone and provide a preliminary analysis of the metabolic changes that occur during pirfenidone treatment in vivo These data may therefore contribute to improvement of currently available therapies for IPF.
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Affiliation(s)
- Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,These authors contributed equally to this work
| | - Isis E Fernandez
- Comprehensive Pneumology Center, Helmholtz Zentrum München, Ludwig Maximilian University München, Member of the German Center for Lung Research (DZL), Munich, Germany.,These authors contributed equally to this work
| | - Mian Wei
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Michael Witting
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Gerald Burgstaller
- Comprehensive Pneumology Center, Helmholtz Zentrum München, Ludwig Maximilian University München, Member of the German Center for Lung Research (DZL), Munich, Germany
| | - Stijn E Verleden
- Laboratory of Pneumology, Dept of Chronic Diseases, Metabolism and Aging, KU Leuven, Leuven, Belgium
| | - Philippe Schmitt-Kopplin
- Research Unit Analytical BioGeoChemistry, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Oliver Eickelberg
- Comprehensive Pneumology Center, Helmholtz Zentrum München, Ludwig Maximilian University München, Member of the German Center for Lung Research (DZL), Munich, Germany.,Division of Respiratory Sciences and Critical Care Medicine, Dept of Medicine, University of Colorado, Denver, CO, USA.,These authors contributed equally to this work
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.,These authors contributed equally to this work
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13
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Sato K, Saigusa D, Saito R, Fujioka A, Nakagawa Y, Nishiguchi KM, Kokubun T, Motoike IN, Maruyama K, Omodaka K, Shiga Y, Uruno A, Koshiba S, Yamamoto M, Nakazawa T. Metabolomic changes in the mouse retina after optic nerve injury. Sci Rep 2018; 8:11930. [PMID: 30093719 PMCID: PMC6085332 DOI: 10.1038/s41598-018-30464-z] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Accepted: 07/20/2018] [Indexed: 12/12/2022] Open
Abstract
In glaucoma, although axonal injury drives retinal ganglion cell (RGC) death, little is known about the underlying pathomechanisms. To provide new mechanistic insights and identify new biomarkers, we combined latest non-targeting metabolomics analyses to profile altered metabolites in the mouse whole retina 2, 4, and 7 days after optic nerve crush (NC). Ultra-high-performance liquid chromatography quadrupole time-of-flight mass spectrometry and liquid chromatography Fourier transform mass spectrometry covering wide spectrum of metabolites in combination highlighted 30 metabolites that changed its concentration after NC. The analysis displayed similar changes for purine nucleotide and glutathione as reported previously in another animal model of axonal injury and detected multiple metabolites that increased after the injury. After studying the specificity of the identified metabolites to RGCs in histological sections using imaging mass spectrometry, two metabolites, i.e., L-acetylcarnitine and phosphatidylcholine were increased not only preceding the peak of RGC death in the whole retina but also at the RGC layer (2.3-fold and 1.2-fold, respectively). These phospholipids propose novel mechanisms of RGC death and may serve as early biomarkers of axonal injury. The combinatory metabolomics analyses promise to illuminate pathomechanisms, reveal biomarkers, and allow the discovery of new therapeutic targets of glaucoma.
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Affiliation(s)
- Kota Sato
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.,Department of Ophthalmic imaging and information analytics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Daisuke Saigusa
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Medical Biochemistry, Tohoku University School of Medicine, Sendai, Miyagi, Japan.,LEAP, Japan Agency for Medical Research and Development (AMED), Chiyoda, Tokyo, Japan
| | - Ritsumi Saito
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Medical Biochemistry, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Amane Fujioka
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Yurika Nakagawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Koji M Nishiguchi
- Department of Advanced Ophthalmic Medicine, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Taiki Kokubun
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Ikuko N Motoike
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Department of Systems Bioinformatics, Graduate School of Information Sciences, Tohoku University, Sendai, Miyagi, Japan
| | - Kazuichi Maruyama
- Department of Innovative Visual Science, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan
| | - Kazuko Omodaka
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.,Department of Ophthalmic imaging and information analytics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Yukihiro Shiga
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan
| | - Akira Uruno
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Medical Biochemistry, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Seizo Koshiba
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Medical Biochemistry, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Masayuki Yamamoto
- Department of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Miyagi, Japan.,Medical Biochemistry, Tohoku University School of Medicine, Sendai, Miyagi, Japan
| | - Toru Nakazawa
- Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan. .,Department of Ophthalmic imaging and information analytics, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan. .,Department of Advanced Ophthalmic Medicine, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan. .,Department of Retinal Disease Control, Tohoku University Graduate School of Medicine, Sendai, Miyagi, Japan.
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14
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2013-2014. MASS SPECTROMETRY REVIEWS 2018; 37:353-491. [PMID: 29687922 DOI: 10.1002/mas.21530] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 11/29/2016] [Indexed: 06/08/2023]
Abstract
This review is the eighth update of the original article published in 1999 on the application of Matrix-assisted laser desorption/ionization mass spectrometry (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2014. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, and arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly- saccharides, glycoproteins, glycolipids, glycosides, and biopharmaceuticals. Much of this material is presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions, and applications to chemical synthesis. © 2018 Wiley Periodicals, Inc. Mass Spec Rev 37:353-491, 2018.
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Affiliation(s)
- David J Harvey
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, United Kingdom
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15
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Sun N, Wu Y, Nanba K, Sbiera S, Kircher S, Kunzke T, Aichler M, Berezowska S, Reibetanz J, Rainey WE, Fassnacht M, Walch A, Kroiss M. High-Resolution Tissue Mass Spectrometry Imaging Reveals a Refined Functional Anatomy of the Human Adult Adrenal Gland. Endocrinology 2018; 159:1511-1524. [PMID: 29385420 PMCID: PMC5839739 DOI: 10.1210/en.2018-00064] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 01/22/2018] [Indexed: 12/11/2022]
Abstract
In the adrenal gland, neuroendocrine cells that synthesize catecholamines and epithelial cells that produce steroid hormones are united beneath a common organ capsule to function as a single stress-responsive organ. The functional anatomy of the steroid hormone-producing adrenal cortex and the catecholamine-producing medulla is ill defined at the level of small molecules. Here, we report a comprehensive high-resolution mass spectrometry imaging (MSI) map of the normal human adrenal gland. A large variety of biomolecules was accessible by matrix-assisted laser desorption/ionization-Fourier transform-ion cyclotron resonance MSI, including nucleoside phosphates indicative of oxidative phosphorylation, sterol and steroid metabolites, intermediates of glycolysis and the tricarboxylic acid cycle, lipids, and fatty acids. Statistical clustering analyses yielded a molecularly defined adrenal anatomy of 10 distinct molecular zones including a highly structured corticomedullary interface. By incorporating pathway information, activities of carbohydrate, amino acid, and lipid metabolism as well as endocrine bioactivity were revealed to be highly spatially organized, which could be visualized as different molecularly defined zones. Together, these findings provide a molecular definition of human adult adrenal gland structure beyond classical histological anatomy.
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Affiliation(s)
- Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany
| | - Yin Wu
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany
| | - Kazutaka Nanba
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109-5622
| | - Silviu Sbiera
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, University of Würzburg, 97080 Würzburg, Germany
| | - Stefan Kircher
- Institut für Pathologie, University of Würzburg, 97080 Würzburg, Germany
| | - Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany
| | | | - Joachim Reibetanz
- Department of General, Visceral, Vascular and Paediatric Surgery, University Hospital Würzburg, 97080 Würzburg, Germany
| | - William E. Rainey
- Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan 48109-5622
| | - Martin Fassnacht
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, University of Würzburg, 97080 Würzburg, Germany
- Comprehensive Cancer Center Mainfranken, University of Würzburg, 97080 Würzburg, Germany
- Clinical Chemistry and Laboratory Medicine, University Hospital Würzburg, 97080 Würzburg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), 85764 Neuherberg, Germany
- Correspondence: Axel Walch, MD, Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstrasse 1, 85764 Neuherberg, Germany. E-mail:
| | - Matthias Kroiss
- Department of Internal Medicine, Division of Endocrinology and Diabetology, University Hospital Würzburg, University of Würzburg, 97080 Würzburg, Germany
- Comprehensive Cancer Center Mainfranken, University of Würzburg, 97080 Würzburg, Germany
- Clinical Chemistry and Laboratory Medicine, University Hospital Würzburg, 97080 Würzburg, Germany
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16
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Abstract
Multiple diseases have a strong metabolic component, and metabolomics as a powerful phenotyping technology, in combination with orthogonal biological and clinical approaches, will undoubtedly play a determinant role in accelerating the understanding of mechanisms that underlie these complex diseases determined by a set of genetic, lifestyle, and environmental exposure factors. Here, we provide several examples of valuable findings from metabolomics-led studies in diabetes and obesity metabolism, neurodegenerative disorders, and cancer metabolism and offer a longer term vision toward personalized approach to medicine, from population-based studies to pharmacometabolomics.
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Affiliation(s)
- Julijana Ivanisevic
- Metabolomics Platform, Faculty of Biology and Medicine, University of Lausanne, Rue du Bugnon 19, 1005, Lausanne, Switzerland.
| | - Aurelien Thomas
- Unit of Toxicology, CURML, CHUV Lausanne University Hospital, HUG Geneva University Hospitals, Vulliette 04, 1000, Lausanne, Switzerland.
- Faculty of Biology and Medicine, University of Lausanne, Vulliette 04, 1000, Lausanne, Switzerland.
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17
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Native glycan fragments detected by MALDI-FT-ICR mass spectrometry imaging impact gastric cancer biology and patient outcome. Oncotarget 2017; 8:68012-68025. [PMID: 28978092 PMCID: PMC5620232 DOI: 10.18632/oncotarget.19137] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Accepted: 06/02/2017] [Indexed: 01/23/2023] Open
Abstract
Glycosylation in cancer is a highly dynamic process that has a significant impact on tumor biology. Further, the attachment of aberrant glycan forms is already considered a hallmark of the disease state. Mass spectrometry has become a prominent approach to analyzing glycoconjugates. Specifically, matrix-assisted laser desorption/ionisation -mass spectrometric imaging (MALDI-MSI) is a powerful technique that combines mass spectrometry with histology and enables the spatially resolved and label-free detection of glycans. The most common approach to the analysis of glycans is the use of mass spectrometry adjunct to PNGase F digestion and other chemical reactions. In the current study, we perform the analysis of formalin-fixed, paraffin-embedded (FFPE) tissues for natively occurring bioactive glycan fragments without prior digestion or chemical reactions using MALDI-FT-ICR-MSI. We examined 106 primary resected gastric cancer patient tissues in a tissue microarray and correlated native-occurring fragments with clinical endpoints, therapeutic targets such as epidermal growth factor receptor (EGFR) and HER2/neu expressions and the proliferation marker MIB1. The detection of a glycosaminoglycan fragment in tumor stroma regions was determined to be an independent prognostic factor for gastric cancer patients. Native glycan fragments were significantly linked to the expression of EGFR, HER2/neu and MIB1. In conclusion, we are the first to report the in situ detection of native-occurring bioactive glycan fragments in FFPE tissues that influence patient outcomes. These findings highlight the significance of glycan fragments in gastric cancer tumor biology and patient outcome.
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18
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N-acyl Taurines and Acylcarnitines Cause an Imbalance in Insulin Synthesis and Secretion Provoking β Cell Dysfunction in Type 2 Diabetes. Cell Metab 2017; 25:1334-1347.e4. [PMID: 28591636 DOI: 10.1016/j.cmet.2017.04.012] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 02/14/2017] [Accepted: 04/13/2017] [Indexed: 02/06/2023]
Abstract
The processes contributing to β cell dysfunction in type 2 diabetes (T2D) are uncertain, largely because it is difficult to access β cells in their intact immediate environment. We examined the pathophysiology of β cells under T2D progression directly in pancreatic tissues. We used MALDI imaging of Langerhans islets (LHIs) within mouse tissues or from human tissues to generate in situ-omics data, which we supported with in vitro experiments. Molecular interaction networks provided information on functional pathways and molecules. We found that stearoylcarnitine accumulated in β cells, leading to arrest of insulin synthesis and energy deficiency via excessive β-oxidation and depletion of TCA cycle and oxidative phosphorylation metabolites. Acetylcarnitine and an accumulation of N-acyl taurines, a group not previously detected in β cells, provoked insulin secretion. Thus, β cell dysfunction results from enhanced insulin secretion combined with an arrest of insulin synthesis.
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19
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Murray KK, Seneviratne CA, Ghorai S. High resolution laser mass spectrometry bioimaging. Methods 2016; 104:118-26. [PMID: 26972785 PMCID: PMC4937799 DOI: 10.1016/j.ymeth.2016.03.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 02/23/2016] [Accepted: 03/08/2016] [Indexed: 12/11/2022] Open
Abstract
Mass spectrometry imaging (MSI) was introduced more than five decades ago with secondary ion mass spectrometry (SIMS) and a decade later with laser desorption/ionization (LDI) mass spectrometry (MS). Large biomolecule imaging by matrix-assisted laser desorption/ionization (MALDI) was developed in the 1990s and ambient laser MS a decade ago. Although SIMS has been capable of imaging with a moderate mass range at sub-micrometer lateral resolution from its inception, laser MS requires additional effort to achieve a lateral resolution of 10μm or below which is required to image at the size scale of single mammalian cells. This review covers untargeted large biomolecule MSI using lasers for desorption/ionization or laser desorption and post-ionization. These methods include laser microprobe (LDI) MSI, MALDI MSI, laser ambient and atmospheric pressure MSI, and near-field laser ablation MS. Novel approaches to improving lateral resolution are discussed, including oversampling, beam shaping, transmission geometry, reflective and through-hole objectives, microscope mode, and near-field optics.
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Affiliation(s)
- Kermit K Murray
- Department of Chemistry, Louisiana State University, Baton Rouge, LA 70803, USA.
| | | | - Suman Ghorai
- Department of Chemistry, Louisiana State University, Baton Rouge, LA 70803, USA
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20
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Ly A, Buck A, Balluff B, Sun N, Gorzolka K, Feuchtinger A, Janssen KP, Kuppen PJK, van de Velde CJH, Weirich G, Erlmeier F, Langer R, Aubele M, Zitzelsberger H, McDonnell L, Aichler M, Walch A. High-mass-resolution MALDI mass spectrometry imaging of metabolites from formalin-fixed paraffin-embedded tissue. Nat Protoc 2016; 11:1428-43. [PMID: 27414759 DOI: 10.1038/nprot.2016.081] [Citation(s) in RCA: 154] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Formalin-fixed and paraffin-embedded (FFPE) tissue specimens are the gold standard for histological examination, and they provide valuable molecular information in tissue-based research. Metabolite assessment from archived tissue samples has not been extensively conducted because of a lack of appropriate protocols and concerns about changes in metabolite content or chemical state due to tissue processing. We present a protocol for the in situ analysis of metabolite content from FFPE samples using a high-mass-resolution matrix-assisted laser desorption/ionization fourier-transform ion cyclotron resonance mass spectrometry imaging (MALDI-FT-ICR-MSI) platform. The method involves FFPE tissue sections that undergo deparaffinization and matrix coating by 9-aminoacridine before MALDI-MSI. Using this platform, we previously detected ∼1,500 m/z species in the mass range m/z 50-1,000 in FFPE samples; the overlap compared with fresh frozen samples is 72% of m/z species, indicating that metabolites are largely conserved in FFPE tissue samples. This protocol can be reproducibly performed on FFPE tissues, including small samples such as tissue microarrays and biopsies. The procedure can be completed in a day, depending on the size of the sample measured and raster size used. Advantages of this approach include easy sample handling, reproducibility, high throughput and the ability to demonstrate molecular spatial distributions in situ. The data acquired with this protocol can be used in research and clinical practice.
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Affiliation(s)
- Alice Ly
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Achim Buck
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, the Netherlands
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Karin Gorzolka
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Klaus-Peter Janssen
- Department of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Gregor Weirich
- Institute of Pathology, Technische Universität München, Munich, Germany
| | | | - Rupert Langer
- Institute of Pathology, Technische Universität München, Munich, Germany
| | - Michaela Aubele
- Institute of Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Horst Zitzelsberger
- Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Liam McDonnell
- Centre for Proteomics and Metabolomics, Leiden University Medical Centre, Leiden, the Netherlands.,Fondazione Pisana per la Scienza ONLUS, Pisa, Italy
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
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21
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Tan SZ, Mullard G, Hollywood KA, Dunn WB, Bishop PN. Characterisation of the metabolome of ocular tissues and post-mortem changes in the rat retina. Exp Eye Res 2016; 149:8-15. [PMID: 27233448 DOI: 10.1016/j.exer.2016.05.019] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2016] [Revised: 04/12/2016] [Accepted: 05/19/2016] [Indexed: 02/04/2023]
Abstract
Time-dependent post-mortem biochemical changes have been demonstrated in donor cornea and vitreous, but there have been no published studies to date that objectively measure post-mortem changes in the retinal metabolome over time. The aim of the study was firstly, to investigate post-mortem, time-dependent changes in the rat retinal metabolome and secondly, to compare the metabolite composition of healthy rat ocular tissues. To study post-mortem changes in the rat retinal metabolome, globes were enucleated and stored at 4 °C and sampled at 0, 2, 4, 8, 24 and 48 h post-mortem. To study the metabolite composition of rat ocular tissues, eyes were dissected immediately after culling to isolate the cornea, lens, vitreous and retina, prior to storing at -80 °C. Tissue extracts were subjected to Gas Chromatograph Mass Spectrometry (GC-MS) and Ultra High Performance Liquid Chromatography Mass Spectrometry (UHPLC-MS). Generally, the metabolic composition of the retina was stable for 8 h post-mortem when eyes were stored at 4 °C, but showed increasing changes thereafter. However, some more rapid changes were observed such as increases in TCA cycle metabolites after 2 h post-mortem, whereas some metabolites such as fatty acids only showed decreases in concentration from 24 h. A total of 42 metabolites were identified across the ocular tissues by GC-MS (MSI level 1) and 2782 metabolites were annotated by UHPLC-MS (MSI level 2) according to MSI reporting standards. Many of the metabolites detected were common to all of the tissues but some metabolites showed partitioning between different ocular structures with 655, 297, 93 and 13 metabolites being uniquely detected in the retina, lens, cornea and vitreous respectively. Only a small percentage (1.6%) of metabolites found in the vitreous were only detected in the retina and not other tissues. In conclusion, mass spectrometry-based techniques have been used for the first time to compare the metabolic composition of different ocular tissues. The metabolite composition of the retina stored at 4 °C post-mortem is mostly stable for at least 8 h.
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Affiliation(s)
- Shi Z Tan
- Centre for Ophthalmology and Vision Sciences, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, Manchester, M13 9PL, UK; Manchester Royal Eye Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK.
| | - Graham Mullard
- Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, Manchester, M13 9PL, UK; Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
| | - Katherine A Hollywood
- Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, Manchester, M13 9PL, UK; Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK; Faculty of Life Sciences, University of Manchester, Manchester, M13 9PL, UK
| | - Warwick B Dunn
- School of Biosciences and Phenome Centre Birmingham, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Paul N Bishop
- Centre for Ophthalmology and Vision Sciences, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, Manchester, M13 9PL, UK; Manchester Royal Eye Hospital, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK; Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, M13 9WL, UK
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22
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Jannetto PJ, Fitzgerald RL. Effective Use of Mass Spectrometry in the Clinical Laboratory. Clin Chem 2016; 62:92-8. [DOI: 10.1373/clinchem.2015.248146] [Citation(s) in RCA: 116] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 09/21/2015] [Indexed: 01/04/2023]
Abstract
Abstract
BACKGROUND
Historically the success of mass spectrometry in the clinical laboratory has focused on drugs of abuse confirmations, newborn screening, and steroid analysis. Clinical applications of mass spectrometry continue to expand, and mass spectrometry is now being used in almost all areas of laboratory medicine.
CONTENT
A brief background of the evolution of mass spectrometry in the clinical laboratory is provided with a discussion of future applications. Prominent examples of mass spectrometry are covered to illustrate how it has improved the practice of medicine and enabled physicians to provide better patient care. With increasing economic pressures and decreasing laboratory test reimbursement, mass spectrometry testing has been shown to provide cost-effective solutions. In addition to pointing out the numerous benefits, the challenges of implementing mass spectrometry in the clinical laboratory are also covered.
SUMMARY
Mass spectrometry continues to play a prominent role in the field of laboratory medicine. The advancement of this technology along with the development of new applications will only accelerate the incorporation of mass spectrometry into more areas of medicine.
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Affiliation(s)
- Paul J Jannetto
- Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
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23
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Aguilaniu H, Fabrizio P, Witting M. The Role of Dafachronic Acid Signaling in Development and Longevity in Caenorhabditis elegans: Digging Deeper Using Cutting-Edge Analytical Chemistry. Front Endocrinol (Lausanne) 2016; 7:12. [PMID: 26903948 PMCID: PMC4749721 DOI: 10.3389/fendo.2016.00012] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 01/25/2016] [Indexed: 12/05/2022] Open
Abstract
Steroid hormones regulate physiological processes in species ranging from plants to humans. A wide range of steroid hormones exist, and their contributions to processes, such as growth, reproduction, development, and aging, is almost always complex. Understanding the biosynthetic pathways that generate steroid hormones and the signaling pathways that mediate their effects is thus of fundamental importance. In this work, we review recent advances in (i) the biological role of steroid hormones in the roundworm Caenorhabditis elegans and (ii) the development of novel methods to facilitate the detection and identification of these molecules. Our current understanding of steroid signaling in this simple organism serves to illustrate the challenges we face moving forward. First, it seems clear that we have not yet identified all of the enzymes responsible for steroid biosynthesis and/or degradation. Second, perturbation of steroid signaling affects a wide range of phenotypes, and subtly different steroid molecules can have distinct effects. Finally, steroid hormone levels are critically important, and minute variations in quantity can profoundly impact a phenotype. Thus, it is imperative that we develop innovative analytical tools and combine them with cutting-edge approaches including comprehensive and highly selective liquid chromatography coupled to mass spectrometry based on new methods such as supercritical fluid chromatography coupled to mass spectrometry (SFC-MS) if we are to obtain a better understanding of the biological functions of steroid signaling.
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Affiliation(s)
- Hugo Aguilaniu
- UMR5262, Ecole Normale Supérieure de Lyon, CNRS, Institut de Génomique Fonctionnelle de Lyon, Université de Lyon Claude Bernard, Lyon, France
- *Correspondence: Hugo Aguilaniu,
| | - Paola Fabrizio
- UMR5262, Ecole Normale Supérieure de Lyon, CNRS, Institut de Génomique Fonctionnelle de Lyon, Université de Lyon Claude Bernard, Lyon, France
| | - Michael Witting
- Research Unit Analytical BioGeoChemistry, Department of Environmental Sciences, Helmholtz Zentrum München, Neuherberg, Germany
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24
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Goodwin RJA, Nilsson A, Mackay CL, Swales JG, Johansson MK, Billger M, Andrén PE, Iverson SL. Exemplifying the Screening Power of Mass Spectrometry Imaging over Label-Based Technologies for Simultaneous Monitoring of Drug and Metabolite Distributions in Tissue Sections. ACTA ACUST UNITED AC 2015; 21:187-93. [DOI: 10.1177/1087057115623740] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 12/01/2015] [Indexed: 12/15/2022]
Abstract
Mass spectrometry imaging (MSI) provides pharmaceutical researchers with a suite of technologies to screen and assess compound distributions and relative abundances directly from tissue sections and offer insight into drug discovery–applicable queries such as blood-brain barrier access, tumor penetration/retention, and compound toxicity related to drug retention in specific organs/cell types. Label-free MSI offers advantages over label-based assays, such as quantitative whole-body autoradiography (QWBA), in the ability to simultaneously differentiate and monitor both drug and drug metabolites. Such discrimination is not possible by label-based assays if a drug metabolite still contains the radiolabel. Here, we present data exemplifying the advantages of MSI analysis. Data of the distribution of AZD2820, a therapeutic cyclic peptide, are related to corresponding QWBA data. Distribution of AZD2820 and two metabolites is achieved by MSI, which [14C]AZD2820 QWBA fails to differentiate. Furthermore, the high mass-resolving power of Fourier transform ion cyclotron resonance MS is used to separate closely associated ions.
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Affiliation(s)
| | - Anna Nilsson
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | | | - John G. Swales
- Drug Safety and Metabolism, AstraZeneca R&D, Cambridge, UK
| | | | | | - Per E. Andrén
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
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25
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Pharmacokinetic and pharmacometabolomic study of pirfenidone in normal mouse tissues using high mass resolution MALDI-FTICR-mass spectrometry imaging. Histochem Cell Biol 2015; 145:201-11. [PMID: 26645566 DOI: 10.1007/s00418-015-1382-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/26/2015] [Indexed: 10/22/2022]
Abstract
Given the importance of pirfenidone as the first worldwide-approved drug for idiopathic pulmonary fibrosis treatment, its pharmacodynamic properties and the metabolic response to pirfenidone treatment have not been fully elucidated. The aim of the present study was to get molecular insights of pirfenidone-related pharmacometabolomic response using MALDI-FTICR-MSI. Quantitative MALDI-FTICR-MSI was carried out for determining the pharmacokinetic properties of pirfenidone and its related metabolites 5-hydroxymethyl pirfenidone and 5-carboxy pirfenidone in lung, liver and kidney. To monitor the effect of pirfenidone administration on endogenous cell metabolism, additional in situ endogenous metabolite imaging was performed in lung tissue sections. While pirfenidone is highly abundant and delocalized across the whole micro-regions of lung, kidney and liver, 5-hydroxymethyl pirfenidone and 5-carboxy pirfenidone demonstrate heterogeneous distribution patterns in lung and kidney. In situ endogenous metabolite imaging study of lung tissue indicates no significant effects of pirfenidone on metabolic pathways. Remarkably, we found 129 discriminative m/z values which represent clear differences between control and treated lungs, the majority of which are currently unknown. PCA analysis and heatmap view can accurately distinguish control and treated groups. This is the first pharmacokinetic study to investigate the tissue distribution of orally administered pirfenidone and its related metabolites simultaneously in organs without labeling. The combination of pharmametabolome with histological features provides detailed mapping of drug effects on metabolism as response of healthy lung tissue to pirfenidone treatment.
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26
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Abstract
Lutein is one of the most prevalent carotenoids in nature and in the human diet. Together with zeaxanthin, it is highly concentrated as macular pigment in the foveal retina of primates, attenuating blue light exposure, providing protection from photo-oxidation and enhancing visual performance. Recently, interest in lutein has expanded beyond the retina to its possible contributions to brain development and function. Only primates accumulate lutein within the brain, but little is known about its distribution or physiological role. Our team has begun to utilize the rhesus macaque (Macaca mulatta) model to study the uptake and bio-localization of lutein in the brain. Our overall goal has been to assess the association of lutein localization with brain function. In this review, we will first cover the evolution of the non-human primate model for lutein and brain studies, discuss prior association studies of lutein with retina and brain function, and review approaches that can be used to localize brain lutein. We also describe our approach to the biosynthesis of 13C-lutein, which will allow investigation of lutein flux, localization, metabolism and pharmacokinetics. Lastly, we describe potential future research opportunities.
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27
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Zhang T, Zhang A, Qiu S, Yang S, Wang X. Current Trends and Innovations in Bioanalytical Techniques of Metabolomics. Crit Rev Anal Chem 2015; 46:342-51. [DOI: 10.1080/10408347.2015.1079475] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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28
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Buck A, Ly A, Balluff B, Sun N, Gorzolka K, Feuchtinger A, Janssen KP, Kuppen PJK, van de Velde CJH, Weirich G, Erlmeier F, Langer R, Aubele M, Zitzelsberger H, Aichler M, Walch A. High-resolution MALDI-FT-ICR MS imaging for the analysis of metabolites from formalin-fixed, paraffin-embedded clinical tissue samples. J Pathol 2015; 237:123-32. [DOI: 10.1002/path.4560] [Citation(s) in RCA: 111] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Revised: 05/05/2015] [Accepted: 05/07/2015] [Indexed: 12/23/2022]
Affiliation(s)
- Achim Buck
- Research Unit Analytical Pathology; Helmholtz Zentrum München; Neuherberg Germany
| | - Alice Ly
- Research Unit Analytical Pathology; Helmholtz Zentrum München; Neuherberg Germany
| | - Benjamin Balluff
- Centre for Proteomics and Metabolomics; Leiden University Medical Center; Leiden The Netherlands
| | - Na Sun
- Research Unit Analytical Pathology; Helmholtz Zentrum München; Neuherberg Germany
| | - Karin Gorzolka
- Research Unit Analytical Pathology; Helmholtz Zentrum München; Neuherberg Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology; Helmholtz Zentrum München; Neuherberg Germany
| | - Klaus-Peter Janssen
- Department of Surgery, Klinikum Rechts der Isar; Technische Universität München; Munich Germany
| | - Peter JK Kuppen
- Department of Surgery; Leiden University Medical Center; Leiden The Netherlands
| | | | - Gregor Weirich
- Institute of Pathology; Technische Universität München; Munich Germany
| | | | - Rupert Langer
- Institute of Pathology; Technische Universität München; Munich Germany
| | - Michaela Aubele
- Institute of Pathology; Helmholtz Zentrum München; Neuherberg Germany
| | - Horst Zitzelsberger
- Research Unit Radiation Cytogenetics; Helmholtz Zentrum München; Neuherberg Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology; Helmholtz Zentrum München; Neuherberg Germany
| | - Axel Walch
- Research Unit Analytical Pathology; Helmholtz Zentrum München; Neuherberg Germany
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29
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Du J, Linton JD, Hurley JB. Probing Metabolism in the Intact Retina Using Stable Isotope Tracers. Methods Enzymol 2015; 561:149-70. [PMID: 26358904 DOI: 10.1016/bs.mie.2015.04.002] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Vertebrate retinas have several characteristics that make them particularly interesting from a metabolic perspective. The retinas have a highly laminated structure, high energy demands, and they share several metabolic features with tumors, such as a strong Warburg effect and abundant pyruvate kinase M2 isoform expression. The energy demands of retinas are both qualitatively and quantitatively different in light and darkness and metabolic dysfunction could cause retinal degeneration. Stable isotope-based metabolic analysis with mass spectrometry is a powerful tool to trace the dynamic metabolic reactions and reveal novel metabolic pathways within cells and between cells in retina. Here, we describe methods to quantify retinal metabolism in intact retinas and discuss applications of these methods to the understanding of neuron-glia interaction, light and dark adaptation, and retinal degenerative diseases.
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Affiliation(s)
- Jianhai Du
- Departments of Biochemistry, University of Washington, Seattle, Washington, USA; Department of Ophthalmology, University of Washington, Seattle, Washington, USA
| | - Jonathan D Linton
- Departments of Biochemistry, University of Washington, Seattle, Washington, USA; Department of Ophthalmology, University of Washington, Seattle, Washington, USA
| | - James B Hurley
- Departments of Biochemistry, University of Washington, Seattle, Washington, USA; Department of Ophthalmology, University of Washington, Seattle, Washington, USA.
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30
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Anderson DMG, Spraggins JM, Rose KL, Schey KL. High spatial resolution imaging mass spectrometry of human optic nerve lipids and proteins. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2015; 26:940-7. [PMID: 25893273 PMCID: PMC5650057 DOI: 10.1007/s13361-015-1143-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 03/17/2015] [Accepted: 03/17/2015] [Indexed: 05/11/2023]
Abstract
The human optic nerve carries signals from the retina to the visual cortex of the brain. Each optic nerve is comprised of approximately one million nerve fibers that are organized into bundles of 800-1200 fibers surrounded by connective tissue and supportive glial cells. Damage to the optic nerve contributes to a number of blinding diseases including: glaucoma, neuromyelitis optica, optic neuritis, and neurofibromatosis; however, the molecular mechanisms of optic nerve damage and death are incompletely understood. Herein we present high spatial resolution MALDI imaging mass spectrometry (IMS) analysis of lipids and proteins to define the molecular anatomy of the human optic nerve. The localization of a number of lipids was observed in discrete anatomical regions corresponding to myelinated and unmyelinated nerve regions as well as to supporting connective tissue, glial cells, and blood vessels. A protein fragment from vimentin, a known intermediate filament marker for astrocytes, was observed surrounding nerved fiber bundles in the lamina cribrosa region. S100B was also found in supporting glial cell regions in the prelaminar region, and the hemoglobin alpha subunit was observed in blood vessel areas. The molecular anatomy of the optic nerve defined by MALDI IMS provides a firm foundation to study biochemical changes in blinding human diseases.
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Affiliation(s)
- David M G Anderson
- Department of Biochemistry, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
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31
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Supremacy of modern morphometry in typing renal oncocytoma and malignant look-alikes. Histochem Cell Biol 2015; 144:147-56. [PMID: 25929744 DOI: 10.1007/s00418-015-1324-4] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/18/2015] [Indexed: 12/31/2022]
Abstract
In the era of tumour type-specific therapies, the correct typing of renal tumours is of prime importance. As immunotyping and genotyping approaches are laborious and fall short of standardization, we used whole-scale computer-assisted morphometry instead. Three different types of renal tumours with different prognoses and therapies, notoriously prone to mistyping, were analysed . The sample of 335 tumours included clear cell renal cell carcinoma, chromophobe renal cell carcinoma and renal oncocytoma. The sample was analysed using H&E stains of tissue microarrrays in combination with an image-scanning software. Nuclear and cytoplasmic features were registered with the aid of computer-assisted morphometry. Features included shape, texture, colour and colour intensity for different cell compartments, e.g. nuclei and cytoplasm. The software passed several training steps for final validation. Using morphometry, we were able to classify the three renal tumour types correctly, with a 100 % specificity compared to the WHO typing. Nuclear features dominated the typing of chromophobe renal cell carcinoma, whereas cytoplasmic features were the leading classificators for renal oncocytoma. The grading of clear cell renal cell carcinoma attained a specificity of 80 %. In conclusion, modern morphometry may serve as a tool for typing renal epithelial tumours and additionally draws the attention to future nuclear research in chromophobe renal cell carcinoma.
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32
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MALDI Imaging mass spectrometry: current frontiers and perspectives in pathology research and practice. J Transl Med 2015; 95:422-31. [PMID: 25621874 DOI: 10.1038/labinvest.2014.156] [Citation(s) in RCA: 295] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Revised: 11/07/2014] [Accepted: 11/07/2014] [Indexed: 01/14/2023] Open
Abstract
MALDI Imaging mass spectrometry has entered the field of tissue-based research by providing unique advantages for analyzing tissue specimen in an unprecedented detail. A broad spectrum of analytes ranging from proteins, peptides, protein modification over small molecules, drugs and their metabolites as well as pharmaceutical components, endogenous cell metabolites, lipids, and other analytes are made accessible by this in situ technique in tissue. Some of them were even not accessible in tissues within the histological context before. Thereby, the great advantage of MALDI Imaging is the correlation of molecular information with traditional histology by keeping the spatial localization information of the analytes after mass spectrometric measurement. This method is label-free and allows multiplex analysis of hundreds to thousands of molecules in the very same tissue section simultaneously. Imaging mass spectrometry brings a new quality of molecular data and links the expert discipline of pathology and deep molecular mass spectrometric analysis to tissue-based research. This review will focus on state-of-the-art of MALDI Imaging mass spectrometry, its recent applications by analyzing tissue specimen and the contributions in understanding the biology of disease as well as its perspectives for pathology research and practice.
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33
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Krasny L, Hoffmann F, Ernst G, Trede D, Alexandrov T, Havlicek V, Guntinas-Lichius O, von Eggeling F, Crecelius AC. Spatial segmentation of MALDI FT-ICR MSI data: a powerful tool to explore the head and neck tumor in situ lipidome. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2015; 26:36-43. [PMID: 25374335 DOI: 10.1007/s13361-014-1018-5] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2014] [Revised: 10/08/2014] [Accepted: 10/08/2014] [Indexed: 05/24/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI MSI) is a well-established analytical technique for determining spatial localization of lipids in biological samples. The use of Fourier-transform ion cyclotron resonance (FT-ICR) mass spectrometers for the molecular imaging of endogenous compounds is gaining popularity, since the high mass accuracy and high mass resolving power enables accurate determination of exact masses and, consequently, a more confident identification of these molecules. The high mass resolution FT-ICR imaging datasets are typically large in size. In order to analyze them in an appropriate timeframe, the following approach has been employed: the FT-ICR imaging datasets were spatially segmented by clustering all spectra by their similarity. The resulted spatial segmentation maps were compared with the histologic annotation. This approach facilitates interpretation of the full datasets by providing spatial regions of interest. The application of this approach, which has originally been developed for MALDI-TOF MSI datasets, to the lipidomic analysis of head and neck tumor tissue revealed new insights into the metabolic organization of the carcinoma tissue.
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Affiliation(s)
- Lukas Krasny
- Institute of Microbiology, v.v.i., Videnska 1083, CZ 142 20, Prague 4, Czech Republic
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34
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Crecelius AC, Schubert US, von Eggeling F. MALDI mass spectrometric imaging meets “omics”: recent advances in the fruitful marriage. Analyst 2015; 140:5806-20. [DOI: 10.1039/c5an00990a] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI MSI) is a method that allows the investigation of the molecular content of surfaces, in particular, tissues, within its morphological context.
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Affiliation(s)
- A. C. Crecelius
- Laboratory of Organic and Macromolecular Chemistry (IOMC)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Jena Center for Soft Matter (JCSM)
| | - U. S. Schubert
- Laboratory of Organic and Macromolecular Chemistry (IOMC)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Jena Center for Soft Matter (JCSM)
| | - F. von Eggeling
- Jena Center for Soft Matter (JCSM)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Institute of Physical Chemistry
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35
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Affiliation(s)
- Bernhard Spengler
- Justus Liebig University Giessen, Institute of Inorganic and Analytical
Chemistry, Schubertstrasse
60, Building 16, 35392 Giessen, Germany
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36
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Abstract
To fully understand the drug mechanism of action of new chemical entities, pharmacologists need to acquire confident and precise data in pharmacokinetics and in pharmacodynamics and build strong pharmacokinetic/pharmacodynamic relationships. Target engagement in evaluating new chemical entities provides the basis for treatment efficacy. Classical technologies are sometimes limited or inefficient to provide these precise data; however, label-free MS imaging technology is able to provide these molecular features, spatial distributions, quantification and metabolomics data. Important considerations for imaging biological sections are described. Various applications in pharmacology are presented across different therapeutic areas, where MS imaging answers crucial drug discovery and preclinical development needs.
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