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Nitusca D, Socaciu C, Socaciu AI, Sirbu IO, Bardan R, Cumpanas AA, Seclaman E, Marian C. Potential Diagnostic Biomarker Detection for Prostate Cancer Using Untargeted and Targeted Metabolomic Profiling. Curr Issues Mol Biol 2023; 45:5036-5051. [PMID: 37367069 DOI: 10.3390/cimb45060320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 05/27/2023] [Accepted: 06/03/2023] [Indexed: 06/28/2023] Open
Abstract
Prostate cancer (PCa) remains one of the leading causes of cancer mortality in men worldwide, currently lacking specific, early detection and staging biomarkers. In this regard, modern research focuses efforts on the discovery of novel molecules that could represent potential future non-invasive biomarkers for the diagnosis of PCa, as well as therapeutic targets. Mounting evidence shows that cancer cells express an altered metabolism in their early stages, making metabolomics a promising tool for the discovery of altered pathways and potential biomarker molecules. In this study, we first performed untargeted metabolomic profiling on 48 PCa plasma samples and 23 healthy controls using ultra-high-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-QTOF-[ESI+]-MS) for the discovery of metabolites with altered profiles. Secondly, we selected five molecules (L-proline, L-tryptophan, acetylcarnitine, lysophosphatidylcholine C18:2 and spermine) for the downstream targeted metabolomics and found out that all the molecules, regardless of the PCa stage, were decreased in the PCa plasma samples when compared to the controls, making them potential biomarkers for PCa detection. Moreover, spermine, acetylcarnitine and L-tryptophan had very high diagnostic accuracy, with AUC values of 0.992, 0.923 and 0.981, respectively. Consistent with other literature findings, these altered metabolites could represent future specific and non-invasive candidate biomarkers for PCa detection, which opens novel horizons in the field of metabolomics.
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Affiliation(s)
- Diana Nitusca
- Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
- Center for Complex Networks Science, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
| | - Carmen Socaciu
- BIODIATECH, Research Center for Applied Biotechnology in Diagnosis and Molecular Therapy, 400478 Cluj-Napoca, Romania
| | - Andreea Iulia Socaciu
- Department of Occupational Health, Iuliu Hateganu University of Medicine and Pharmacy, Str. Victor Babes Nr. 8, 400347 Cluj-Napoca, Romania
| | - Ioan Ovidiu Sirbu
- Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
- Center for Complex Networks Science, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
| | - Razvan Bardan
- Department of Urology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
- Urology Clinic, Timisoara Emergency County Hospital, 300723 Timisoara, Romania
| | - Alin Adrian Cumpanas
- Department of Urology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
- Urology Clinic, Timisoara Emergency County Hospital, 300723 Timisoara, Romania
| | - Edward Seclaman
- Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
- Center for Complex Networks Science, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
| | - Catalin Marian
- Department of Biochemistry and Pharmacology, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
- Center for Complex Networks Science, Victor Babes University of Medicine and Pharmacy, Pta Eftimie Murgu Nr. 2, 300041 Timisoara, Romania
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Krishnan S, Kanthaje S, Punchappady DR, Mujeeburahiman M, Ratnacaram CK. Circulating metabolite biomarkers: a game changer in the human prostate cancer diagnosis. J Cancer Res Clin Oncol 2023; 149:951-967. [PMID: 35764700 DOI: 10.1007/s00432-022-04113-y] [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: 04/20/2022] [Accepted: 06/06/2022] [Indexed: 11/25/2022]
Abstract
PURPOSE Prostate cancer (PCa) is the second most commonly diagnosed cancer in men in Western and Asian countries. Serum prostate-specific antigen (PSA) test has been the routine diagnostic method despite the tremendous research in diagnostic markers for early detection of PCa. A shift towards a promising and potential biomarker for PCa detection is through metabolomic profiling of biofluids, particularly the blood and urine samples. Finding reliable, routinely usable circulating metabolite biomarkers may not be a distant reality. METHODS We performed a PubMed-based literature search of metabolite biomarkers in blood and urine for the early detection of prostate cancer. The timeline of these searches was limited between 2007 and 2022 and the following keywords were used: 'metabolomics', 'liquid biopsy', 'circulating metabolites', 'serum metabolite', 'plasma metabolite', and 'urine metabolite' with respect to 'prostate cancer'. We focussed only on diagnosis-based studies with only the subject-relevant articles published in the English language and excluded all of the other irrelevant publications that included prostate tissue biomarkers and cell line biomarkers. RESULTS We have consolidated all the blood and urine-based potential metabolite candidates in individual as well as panels, including lipid classes, fatty acids, amino acids, and volatile organic compounds which may become useful for PCa diagnosis. CONCLUSION All these metabolome findings unveil the impact of different dimensions of PCa development, giving a promising strategy to diagnose the disease since suspected individuals can be subjected to repeated and largescale blood and urine testing.
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Affiliation(s)
- Sabareeswaran Krishnan
- Yenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India
- Department of Urology, Yenepoya Medical College Hospital, Deralakatte, Mangaluru, 575018, Karnataka, India
| | - Shruthi Kanthaje
- Yenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India
| | - Devasya Rekha Punchappady
- Yenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India
| | - M Mujeeburahiman
- Department of Urology, Yenepoya Medical College Hospital, Deralakatte, Mangaluru, 575018, Karnataka, India.
| | - Chandrahas Koumar Ratnacaram
- Yenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India.
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Woollam M, Siegel AP, Munshi A, Liu S, Tholpady S, Gardner T, Li BY, Yokota H, Agarwal M. Canine-Inspired Chemometric Analysis of Volatile Organic Compounds in Urine Headspace to Distinguish Prostate Cancer in Mice and Men. Cancers (Basel) 2023; 15:cancers15041352. [PMID: 36831694 PMCID: PMC9954105 DOI: 10.3390/cancers15041352] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/06/2023] [Accepted: 02/13/2023] [Indexed: 02/23/2023] Open
Abstract
Canines can identify prostate cancer with high accuracy by smelling volatile organic compounds (VOCs) in urine. Previous studies have identified VOC biomarkers for prostate cancer utilizing solid phase microextraction (SPME) gas chromatography-mass spectrometry (GC-MS) but have not assessed the ability of VOCs to distinguish aggressive cancers. Additionally, previous investigations have utilized murine models to identify biomarkers but have not determined if the results are translatable to humans. To address these challenges, urine was collected from mice with prostate cancer and men undergoing prostate cancer biopsy and VOCs were analyzed by SPME GC-MS. Prior to analysis, SPME fibers/arrows were compared, and the fibers had enhanced sensitivity toward VOCs with a low molecular weight. The analysis of mouse urine demonstrated that VOCs could distinguish tumor-bearing mice with 100% accuracy. Linear discriminant analysis of six VOCs in human urine distinguished prostate cancer with sensitivity = 75% and specificity = 69%. Another panel of seven VOCs could classify aggressive cancer with sensitivity = 78% and specificity = 85%. These results show that VOCs have moderate accuracy in detecting prostate cancer and a superior ability to stratify aggressive tumors. Furthermore, the overlap in the structure of VOCs identified in humans and mice shows the merit of murine models for identifying biomarker candidates.
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Affiliation(s)
- Mark Woollam
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Amanda P. Siegel
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Adam Munshi
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Shengzhi Liu
- Department of Pharmacology, School of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Sunil Tholpady
- Richard L Roudebush Veterans Affairs Medical Center, Indianapolis, IN 46202, USA
| | - Thomas Gardner
- Richard L Roudebush Veterans Affairs Medical Center, Indianapolis, IN 46202, USA
- Department of Urology, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Bai-Yan Li
- Department of Pharmacology, School of Pharmacy, Harbin Medical University, Harbin 150081, China
| | - Hiroki Yokota
- Department of Biomedical Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
| | - Mangilal Agarwal
- Integrated Nanosystems Development Institute, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Chemistry and Chemical Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Department of Mechanical and Energy Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN 46202, USA
- Correspondence:
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Ali AM, Monaghan C, Muggeridge DJ, Easton C, Watson DG. LC/MS-based discrimination between plasma and urine metabolomic changes following exposure to ultraviolet radiation by using data modelling. Metabolomics 2023; 19:13. [PMID: 36781606 PMCID: PMC9925544 DOI: 10.1007/s11306-023-01977-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Accepted: 01/23/2023] [Indexed: 02/15/2023]
Abstract
INTRODUCTION This study sought to compare between metabolomic changes of human urine and plasma to investigate which one can be used as best tool to identify metabolomic profiling and novel biomarkers associated to the potential effects of ultraviolet (UV) radiation. METHOD A pilot study of metabolomic patterns of human plasma and urine samples from four adult healthy individuals at before (S1) and after (S2) exposure (UV) and non-exposure (UC) were carried out by using liquid chromatography-mass spectrometry (LC-MS). RESULTS The best results which were obtained by normalizing the metabolites to their mean output underwent to principal components analysis (PCA) and Orthogonal Partial least squares-discriminant analysis (OPLS-DA) to separate pre-from post-of exposure and non-exposure of UV. This separation by data modeling was clear in urine samples unlike plasma samples. In addition to overview of the scores plots, the variance predicted-Q2 (Cum), variance explained-R2X (Cum) and p-value of the cross-validated ANOVA score of PCA and OPLS-DA models indicated to this clear separation. Q2 (Cum) and R2X (Cum) values of PCA model for urine samples were 0.908 and 0.982, respectively, and OPLS-DA model values were 1.0 and 0.914, respectively. While these values in plasma samples were Q2 = 0.429 and R2X = 0.660 for PCA model and Q2 = 0.983 and R2X = 0.944 for OPLS-DA model. LC-MS metabolomic analysis showed the changes in numerous metabolic pathways including: amino acid, lipids, peptides, xenobiotics biodegradation, carbohydrates, nucleotides, Co-factors and vitamins which may contribute to the evaluation of the effects associated with UV sunlight exposure. CONCLUSIONS The results of pilot study indicate that pre and post-exposure UV metabolomics screening of urine samples may be the best tool than plasma samples and a potential approach to predict the metabolomic changes due to UV exposure. Additional future work may shed light on the application of available metabolomic approaches to explore potential predictive markers to determine the impacts of UV sunlight.
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Affiliation(s)
- Ali Muhsen Ali
- College of Medicine, University of Kerbala, Karbala, Iraq.
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow, G4 0RE, Scotland, UK.
| | - Chris Monaghan
- Institute for Clinical Exercise and Health Science, University of theWest of Scotland, Almada Street, Hamilton, Blantyre, ML3 0JB, UK
| | | | - Chris Easton
- Institute for Clinical Exercise and Health Science, University of theWest of Scotland, Almada Street, Hamilton, Blantyre, ML3 0JB, UK
| | - David G Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow, G4 0RE, Scotland, UK
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Amante E, Cerrato A, Alladio E, Capriotti AL, Cavaliere C, Marini F, Montone CM, Piovesana S, Laganà A, Vincenti M. Comprehensive biomarker profiles and chemometric filtering of urinary metabolomics for effective discrimination of prostate carcinoma from benign hyperplasia. Sci Rep 2022; 12:4361. [PMID: 35288652 PMCID: PMC8921285 DOI: 10.1038/s41598-022-08435-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 03/04/2022] [Indexed: 11/23/2022] Open
Abstract
Prostate cancer (PCa) is the most commonly diagnosed cancer in male individuals, principally affecting men over 50 years old, and is the leading cause of cancer-related deaths. Actually, the measurement of prostate-specific antigen level in blood is affected by limited sensitivity and specificity and cannot discriminate PCa from benign prostatic hyperplasia patients (BPH). In the present paper, 20 urine samples from BPH patients and 20 from PCa patients were investigated to develop a metabolomics strategy useful to distinguish malignancy from benign hyperplasia. A UHPLC-HRMS untargeted approach was carried out to generate two large sets of candidate biomarkers. After mass spectrometric analysis, an innovative chemometric data treatment was employed involving PLS-DA classification with repeated double cross-validation and permutation test to provide a rigorously validated PLS-DA model. Simultaneously, this chemometric approach filtered out the most effective biomarkers and optimized their relative weights to yield the highest classification efficiency. An unprecedented portfolio of prostate carcinoma biomarkers was tentatively identified including 22 and 47 alleged candidates from positive and negative ion electrospray (ESI+ and ESI-) datasets. The PLS-DA model based on the 22 ESI+ biomarkers provided a sensitivity of 95 ± 1% and a specificity of 83 ± 3%, while that from the 47 ESI- biomarkers yielded an 88 ± 3% sensitivity and a 91 ± 2% specificity. Many alleged biomarkers were annotated, belonging to the classes of carnitine and glutamine metabolites, C21 steroids, amino acids, acetylcholine, carboxyethyl-hydroxychroman, and dihydro(iso)ferulic acid.
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Affiliation(s)
- Eleonora Amante
- Department of Chemistry, University of Turin, Via P. Giuria 7, 10125, Turin, Italy
| | - Andrea Cerrato
- Department of Chemistry, Università di Roma "La Sapienza", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Eugenio Alladio
- Department of Chemistry, University of Turin, Via P. Giuria 7, 10125, Turin, Italy
- Centro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Turin, Italy
| | - Anna Laura Capriotti
- Department of Chemistry, Università di Roma "La Sapienza", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy.
| | - Chiara Cavaliere
- Department of Chemistry, Università di Roma "La Sapienza", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Federico Marini
- Department of Chemistry, Università di Roma "La Sapienza", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Carmela Maria Montone
- Department of Chemistry, Università di Roma "La Sapienza", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Susy Piovesana
- Department of Chemistry, Università di Roma "La Sapienza", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Aldo Laganà
- Department of Chemistry, Università di Roma "La Sapienza", Sapienza University of Rome, Piazzale Aldo Moro 5, 00185, Rome, Italy
| | - Marco Vincenti
- Department of Chemistry, University of Turin, Via P. Giuria 7, 10125, Turin, Italy
- Centro Regionale Antidoping e di Tossicologia "A. Bertinaria", Orbassano, Turin, Italy
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Li D, Yan L, Lin F, Yuan X, Yang X, Yang X, Wei L, Yang Y, Lu Y. Urinary Biomarkers for the Noninvasive Detection of Gastric Cancer. J Gastric Cancer 2022; 22:306-318. [DOI: 10.5230/jgc.2022.22.e28] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2022] [Revised: 08/01/2022] [Accepted: 08/16/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Dehong Li
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Li Yan
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Fugui Lin
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Xiumei Yuan
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Xingwen Yang
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Xiaoyan Yang
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Lianhua Wei
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Yang Yang
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
| | - Yan Lu
- Gansu Provincial Clinical Research Center for Laboratory Medicine, Lanzhou, China
- Department of Clinical Laboratory, Gansu Provincial Hospital, Lanzhou, China
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Kumar D, Nath K, Lal H, Gupta A. Noninvasive urine metabolomics of prostate cancer and its therapeutic approaches: a current scenario and future perspective. Expert Rev Proteomics 2021; 18:995-1008. [PMID: 34821179 DOI: 10.1080/14789450.2021.2011225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION The sensitive, specific, fast, robust and noninvasive biomarkers for the evaluation of prostate cancer (PC) remain elusive in medical research. However, efforts are in full sway to investigate and resolve these puzzles for clinical practice. Advances in modern analytical techniques, sample processing, and the emergence of multiple omics approaches have created a great hope for the development of better detection modalities for PC. The objective of the present review is to provide a concise overview of the PC metabolomics-based potential discriminating molecules in urine samples using nuclear magnetic resonance spectroscopy and mass spectrometry. AREA COVERED A literature search was executed to find the studies reporting the noninvasive urine-based biomarkers for the diagnosis and prognosis of underlying disease. Most studies have extensivelyreported PC discriminating molecules with their respective controls. Additionally, pathophysiology and the treatment paradigm of PC are summarized and related to the insights underpinning the therapeutic intervention of PC. EXPERT OPINION With multi-centric, global, comprehensive omics approaches via either a non- or least-invasive bio-matrix may open new avenues of research for PC biomarker discovery, backed by a molecular mechanistic outline.
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Affiliation(s)
- Deepak Kumar
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
| | - Kavindra Nath
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Hira Lal
- Department of Radiodiagnosis, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Ashish Gupta
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
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Yang B, Zhang C, Cheng S, Li G, Griebel J, Neuhaus J. Novel Metabolic Signatures of Prostate Cancer Revealed by 1H-NMR Metabolomics of Urine. Diagnostics (Basel) 2021; 11:149. [PMID: 33498542 PMCID: PMC7909529 DOI: 10.3390/diagnostics11020149] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 01/13/2021] [Accepted: 01/16/2021] [Indexed: 12/16/2022] Open
Abstract
Prostate cancer (PC) is one of the most common male cancers worldwide. Until now, there is no consensus about using urinary metabolomic profiling as novel biomarkers to identify PC. In this study, urine samples from 50 PC patients and 50 non-cancerous individuals (control group) were collected. Based on 1H nuclear magnetic resonance (1H-NMR) analysis, 20 metabolites were identified. Subsequently, principal component analysis (PCA), partial least squares-differential analysis (PLS-DA) and ortho-PLS-DA (OPLS-DA) were applied to find metabolites to distinguish PC from the control group. Furthermore, Wilcoxon test was used to find significant differences between the two groups in metabolite urine levels. Guanidinoacetate, phenylacetylglycine, and glycine were significantly increased in PC, while L-lactate and L-alanine were significantly decreased. The receiver operating characteristics (ROC) analysis revealed that the combination of guanidinoacetate, phenylacetylglycine, and glycine was able to accurately differentiate 77% of the PC patients with sensitivity = 80% and a specificity = 64%. In addition, those three metabolites showed significant differences in patients stratified for Gleason score 6 and Gleason score ≥7, indicating potential use to detect significant prostate cancer. Pathway enrichment analysis using the KEGG (Kyoto Encyclopedia of Genes and Genomes) and the SMPDB (The Small Molecule Pathway Database) revealed potential involvement of KEGG "Glycine, Serine, and Threonine metabolism" in PC. The present study highlights that guanidinoacetate, phenylacetylglycine, and glycine are potential candidate biomarkers of PC. To the best knowledge of the authors, this is the first study identifying guanidinoacetate, and phenylacetylglycine as potential novel biomarkers in PC.
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Affiliation(s)
- Bo Yang
- Department of Urology, University of Leipzig, 04103 Leipzig, Germany; (B.Y.); (C.Z.)
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
| | - Chuan Zhang
- Department of Urology, University of Leipzig, 04103 Leipzig, Germany; (B.Y.); (C.Z.)
| | - Sheng Cheng
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China;
| | - Gonghui Li
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China;
| | - Jan Griebel
- Leibniz Institute of Surface Engineering (IOM), Permoserstraße 15, 04318 Leipzig, Germany;
| | - Jochen Neuhaus
- Department of Urology, University of Leipzig, 04103 Leipzig, Germany; (B.Y.); (C.Z.)
- Department of Urology, Zhoupu Hospital, Shanghai University of Medicine & Health Sciences, Shanghai 201318, China
- Department of Urology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou 310016, China;
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Struck-Lewicka W, Wawrzyniak R, Artymowicz M, Kordalewska M, Markuszewski M, Matuszewski M, Gutknecht P, Siebert J, Markuszewski MJ. GC-MS-based untargeted metabolomics of plasma and urine to evaluate metabolic changes in prostate cancer. J Breath Res 2020; 14:047103. [DOI: 10.1088/1752-7163/abaeca] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
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10
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Gu J, Cheng Y, Ji C, Tao Y, Zhao M. Analysis of the Different Metabolic Phenotypes of Metalaxyl Enantiomers in Adolescent Rat by Using 1H NMR Based Urinary Metabolomics. Chem Res Toxicol 2020; 33:1449-1457. [DOI: 10.1021/acs.chemrestox.0c00011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Jinping Gu
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Yafei Cheng
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Chenyang Ji
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Ying Tao
- College of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
| | - Meirong Zhao
- Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province, College of Environment, Zhejiang University of Technology, Hangzhou, Zhejiang 310014, China
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Men Y, Li L, Zhang F, Kong X, Zhang W, Hao C, Wang G. Evaluation of heavy metals and metabolites in the urine of patients with breast cancer. Oncol Lett 2020; 19:1331-1337. [PMID: 31966065 PMCID: PMC6956222 DOI: 10.3892/ol.2019.11206] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 09/20/2019] [Indexed: 12/12/2022] Open
Abstract
Epidemiologic studies demonstrated that the environment serves a crucial role in cancer development. Heavy metals, including arsenic (As), cadmium (cd), chromium (Cr), lead and mercury, are considered to be carcinogens or co-carcinogens. Furthermore, Cd has been detected in breast cancer (BC) tissue at high concentrations. The present study aimed to investigate the correlation between heavy metals detected in urine and urine metabolome of patients with BC, and their association with cancer development. Nuclear magnetic resonance was used to determine urine metabolites and an inductively coupled plasma mass spectrometry system was used to detect heavy metals in urine samples. The results demonstrated that Cd was markedly increased in the urine of patients with BC compared with the control population (approximately 2-fold). Cr and As were also increased in the urine of patients with BC. In addition, numerous small molecule metabolites were altered in the urine of patients with BC compared with the control population. This study also demonstrated that alterations in small molecule metabolites in the urine of patients with BC were very similar to results from a previous report. These findings indicated that environmental exposure to Cd, As, or Cr could influence the urine levels of metabolites, which may be involved in BC development. Further investigation is therefore required to examine a larger range of samples from different countries or areas in order to understand the impact of heavy metals on metabolism and BC development.
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Affiliation(s)
- Yuhao Men
- Department of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China
- Department of Animal Breeding, College of Animal Sciences and Technology, Qingdao Agricultural University, Qingdao, Shandong 266109, P.R. China
| | - Ling Li
- Department of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China
| | - Fen Zhang
- Department of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China
| | - Xueyuan Kong
- Department of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China
| | - Weidong Zhang
- Department of Animal Breeding, College of Animal Sciences and Technology, Qingdao Agricultural University, Qingdao, Shandong 266109, P.R. China
| | - Chongli Hao
- Department of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China
| | - Guotian Wang
- Department of Oncology, Affiliated Tengzhou Central People's Hospital of Jining Medical University, Tengzhou, Shandong 277599, P.R. China
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Burton C, Ma Y. Current Trends in Cancer Biomarker Discovery Using Urinary Metabolomics: Achievements and New Challenges. Curr Med Chem 2019; 26:5-28. [PMID: 28914192 DOI: 10.2174/0929867324666170914102236] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Revised: 07/26/2016] [Accepted: 08/08/2016] [Indexed: 12/20/2022]
Abstract
BACKGROUND The development of effective screening methods for early cancer detection is one of the foremost challenges facing modern cancer research. Urinary metabolomics has recently emerged as a potentially transformative approach to cancer biomarker discovery owing to its noninvasive sampling characteristics and robust analytical feasibility. OBJECTIVE To provide an overview of new developments in urinary metabolomics, cover the most promising aspects of hyphenated techniques in untargeted and targeted metabolomics, and to discuss technical and clinical limitations in addition to the emerging challenges in the field of urinary metabolomics and its application to cancer biomarker discovery. METHODS A systematic review of research conducted in the past five years on the application of urinary metabolomics to cancer biomarker discovery was performed. Given the breadth of this topic, our review focused on the five most widely studied cancers employing urinary metabolomics approaches, including lung, breast, bladder, prostate, and ovarian cancers. RESULTS As an extension of conventional metabolomics, urinary metabolomics has benefitted from recent technological developments in nuclear magnetic resonance, mass spectrometry, gas and liquid chromatography, and capillary electrophoresis that have improved urine metabolome coverage and analytical reproducibility. Extensive metabolic profiling in urine has revealed a significant number of altered metabolic pathways and putative biomarkers, including pteridines, modified nucleosides, and acylcarnitines, that have been associated with cancer development and progression. CONCLUSION Urinary metabolomics presents a transformative new approach toward cancer biomarker discovery with high translational capacity to early cancer screening.
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Affiliation(s)
- Casey Burton
- Department of Chemistry and Center for Single Nanoparticle, Single Cell, and Single Molecule Monitoring, Missouri University of Science and Technology, Rolla, MO, United States
| | - Yinfa Ma
- Department of Chemistry and Center for Single Nanoparticle, Single Cell, and Single Molecule Monitoring, Missouri University of Science and Technology, Rolla, MO, United States
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Zhu QF, Zhang TY, Qin LL, Li XM, Zheng SJ, Feng YQ. Method to Calculate the Retention Index in Hydrophilic Interaction Liquid Chromatography Using Normal Fatty Acid Derivatives as Calibrants. Anal Chem 2019; 91:6057-6063. [DOI: 10.1021/acs.analchem.9b00598] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Quan-Fei Zhu
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, People’s Republic of China
| | - Tian-Yi Zhang
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, People’s Republic of China
| | - Lin-Lin Qin
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, People’s Republic of China
| | - Xin-Ming Li
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, People’s Republic of China
| | - Shu-Jian Zheng
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, People’s Republic of China
| | - Yu-Qi Feng
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, People’s Republic of China
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Svolos V, Hansen R, Nichols B, Quince C, Ijaz UZ, Papadopoulou RT, Edwards CA, Watson D, Alghamdi A, Brejnrod A, Ansalone C, Duncan H, Gervais L, Tayler R, Salmond J, Bolognini D, Klopfleisch R, Gaya DR, Milling S, Russell RK, Gerasimidis K. Treatment of Active Crohn's Disease With an Ordinary Food-based Diet That Replicates Exclusive Enteral Nutrition. Gastroenterology 2019; 156:1354-1367.e6. [PMID: 30550821 DOI: 10.1053/j.gastro.2018.12.002] [Citation(s) in RCA: 188] [Impact Index Per Article: 37.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/03/2018] [Revised: 12/05/2018] [Accepted: 12/07/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND & AIMS Exclusive enteral nutrition (EEN) is the only established dietary treatment for Crohn's disease (CD), but its acceptability is limited. There is a need for novel dietary treatments for CD. METHODS We evaluated the effects of an individualized food-based diet (CD-TREAT), with similar composition to EEN, on the gut microbiome, inflammation, and clinical response in a rat model, healthy adults, and children with relapsing CD. Twenty-five healthy adults randomly received EEN or CD-TREAT for 7 days, followed by a 14-day washout period, followed by the alternate diet. Fecal microbiome and metabolome were assessed before and after each diet. HLA-B7 and HLA-B27 transgenic rats with gut inflammation received EEN, CD-TREAT, or standard chow for 4 weeks. Fecal, luminal, and tissue microbiome, fecal metabolites, and gut inflammation were assessed. Five children with active CD activity received CD-TREAT and their clinical activity and calprotectin were evaluated after 8 weeks of treatment. RESULTS For healthy adults, CD-TREAT was easier to comply with and more acceptable than EEN. CD-TREAT induced similar effects to EEN (EEN vs CD-TREAT) on fecal microbiome composition, metabolome, mean total sulfide (increase 133.0 ± 80.5 vs 54.3 ± 47.0 nmol/g), pH (increase 1.3 ± 0.5 vs 0.9 ± 0.6), and the short-chain fatty acids (μmol/g) acetate (decrease 27.4 ± 22.6 vs 21.6 ± 20.4), propionate (decrease 5.7 ± 7.8 vs 5.2 ± 7.9), and butyrate (decrease 7.0 ± 7.4 vs 10.2 ± 8.5). In the rat model, CD-TREAT and EEN produced similar changes in bacterial load (decrease 0.3 ± 0.3 log10 16S rRNA gene copies per gram), short-chain fatty acids, microbiome, and ileitis severity (mean histopathology score decreases of 1.25 for EEN [P = .015] and 1.0 for CD-TREAT [P = .044] vs chow). In children receiving CD-TREAT, 4 (80%) had a clinical response and 3 (60%) entered remission, with significant concurrent decreases in fecal calprotectin (mean decrease 918 ± 555 mg/kg; P = .002). CONCLUSION CD-TREAT replicates EEN changes in the microbiome, decreases gut inflammation, is well tolerated, and is potentially effective in patients with active CD. ClinicalTrials.gov, numbers NCT02426567 and NCT03171246.
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Affiliation(s)
- Vaios Svolos
- Human Nutrition, School of Medicine, Dentistry & Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
| | - Richard Hansen
- Department of Paediatric Gastroenterology, Hepatology and Nutrition, Royal Hospital for Children, Glasgow, United Kingdom
| | - Ben Nichols
- Human Nutrition, School of Medicine, Dentistry & Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
| | | | - Umer Z Ijaz
- School of Engineering, University of Glasgow, Glasgow, United Kingdom
| | - Rodanthi T Papadopoulou
- Human Nutrition, School of Medicine, Dentistry & Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
| | - Christine A Edwards
- Human Nutrition, School of Medicine, Dentistry & Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom
| | - David Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Adel Alghamdi
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, United Kingdom
| | - Asker Brejnrod
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Cecilia Ansalone
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Hazel Duncan
- Department of Paediatric Gastroenterology, Hepatology and Nutrition, Royal Hospital for Children, Glasgow, United Kingdom
| | - Lisa Gervais
- Department of Paediatric Gastroenterology, Hepatology and Nutrition, Royal Hospital for Children, Glasgow, United Kingdom
| | - Rachel Tayler
- Department of Paediatric Gastroenterology, Hepatology and Nutrition, Royal Hospital for Children, Glasgow, United Kingdom
| | | | - Daniele Bolognini
- Centre for Translational Pharmacology, Institute of Molecular, Cell and Systems Biology, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | | | - Daniel R Gaya
- Department of Gastroenterology, Glasgow Royal Infirmary, Glasgow, United Kingdom
| | - Simon Milling
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Richard K Russell
- Department of Paediatric Gastroenterology, Hepatology and Nutrition, Royal Hospital for Children, Glasgow, United Kingdom
| | - Konstantinos Gerasimidis
- Human Nutrition, School of Medicine, Dentistry & Nursing, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow Royal Infirmary, Glasgow, United Kingdom.
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Kdadra M, Höckner S, Leung H, Kremer W, Schiffer E. Metabolomics Biomarkers of Prostate Cancer: A Systematic Review. Diagnostics (Basel) 2019; 9:E21. [PMID: 30791464 PMCID: PMC6468767 DOI: 10.3390/diagnostics9010021] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 02/13/2019] [Accepted: 02/14/2019] [Indexed: 12/27/2022] Open
Abstract
Prostate cancer (PCa) diagnosis with current biomarkers is difficult and often results in unnecessary invasive procedures as well as over-diagnosis and over-treatment, highlighting the need for novel biomarkers. The aim of this review is to provide a summary of available metabolomics PCa biomarkers, particularly for clinically significant disease. A systematic search was conducted on PubMed for publications from July 2008 to July 2018 in accordance with PRISMA guidelines to report biomarkers with respect to their application in PCa diagnosis, progression, aggressiveness, recurrence, and treatment response. The vast majority of studies report biomarkers with the ability to distinguish malignant from benign prostate tissue with a few studies investigating biomarkers associated with disease progression, treatment response or tumour recurrence. In general, these studies report high dimensional datasets and the number of analysed metabolites often significantly exceeded the number of available samples. Hence, observed multivariate differences between case and control samples in the datasets might potentially also be associated with pre-analytical, technical, statistical and confounding factors. Giving the technical and methodological hurdles, there are nevertheless a number of metabolites and pathways repeatedly reported across various technical approaches, cohorts and sample types that appear to play a predominant role in PCa tumour biology, progression and recurrence.
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Affiliation(s)
| | | | - Hing Leung
- Institute of Cancer Sciences, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G61 1QH, UK.
- CRUK Beatson Institute, Bearsden, Glasgow G61 1BD, UK.
| | - Werner Kremer
- Institute of Biophysics and Physical Biochemistry, University of Regensburg, 93053 Regensburg, Germany.
| | - Eric Schiffer
- Numares AG, Am BioPark 9, 93053 Regensburg, Germany.
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16
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Lu M, Zhan X. The crucial role of multiomic approach in cancer research and clinically relevant outcomes. EPMA J 2018; 9:77-102. [PMID: 29515689 PMCID: PMC5833337 DOI: 10.1007/s13167-018-0128-8] [Citation(s) in RCA: 138] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2017] [Accepted: 01/29/2018] [Indexed: 02/06/2023]
Abstract
Cancer with heavily economic and social burden is the hot point in the field of medical research. Some remarkable achievements have been made; however, the exact mechanisms of tumor initiation and development remain unclear. Cancer is a complex, whole-body disease that involves multiple abnormalities in the levels of DNA, RNA, protein, metabolite and medical imaging. Biological omics including genomics, transcriptomics, proteomics, metabolomics and radiomics aims to systematically understand carcinogenesis in different biological levels, which is driving the shift of cancer research paradigm from single parameter model to multi-parameter systematical model. The rapid development of various omics technologies is driving one to conveniently get multi-omics data, which accelerates predictive, preventive and personalized medicine (PPPM) practice allowing prediction of response with substantially increased accuracy, stratification of particular patients and eventual personalization of medicine. This review article describes the methodology, advances, and clinically relevant outcomes of different "omics" technologies in cancer research, and especially emphasizes the importance and scientific merit of integrating multi-omics in cancer research and clinically relevant outcomes.
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Affiliation(s)
- Miaolong Lu
- Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008 People’s Republic of China
- Hunan Engineering Laboratory for Structural Biology and Drug Design, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008 People’s Republic of China
- State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008 People’s Republic of China
| | - Xianquan Zhan
- Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008 People’s Republic of China
- Hunan Engineering Laboratory for Structural Biology and Drug Design, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008 People’s Republic of China
- State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan 410008 People’s Republic of China
- The State Key Laboratory of Medical Genetics, Central South University, 88 Xiangya Road, Changsha, Hunan 410008 People’s Republic of China
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Zheng H, Cai A, Zhou Q, Xu P, Zhao L, Li C, Dong B, Gao H. Optimal preprocessing of serum and urine metabolomic data fusion for staging prostate cancer through design of experiment. Anal Chim Acta 2017; 991:68-75. [DOI: 10.1016/j.aca.2017.09.019] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2017] [Revised: 07/17/2017] [Accepted: 09/08/2017] [Indexed: 12/22/2022]
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18
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Ibáñez C, Simó C, Palazoglu M, Cifuentes A. GC-MS based metabolomics of colon cancer cells using different extraction solvents. Anal Chim Acta 2017; 986:48-56. [DOI: 10.1016/j.aca.2017.07.019] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2017] [Revised: 06/23/2017] [Accepted: 07/10/2017] [Indexed: 12/30/2022]
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19
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Maddocks ODK, Athineos D, Cheung EC, Lee P, Zhang T, van den Broek NJF, Mackay GM, Labuschagne CF, Gay D, Kruiswijk F, Blagih J, Vincent DF, Campbell KJ, Ceteci F, Sansom OJ, Blyth K, Vousden KH. Modulating the therapeutic response of tumours to dietary serine and glycine starvation. Nature 2017; 544:372-376. [PMID: 28425994 DOI: 10.1038/nature22056] [Citation(s) in RCA: 375] [Impact Index Per Article: 53.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2016] [Accepted: 03/08/2017] [Indexed: 12/17/2022]
Abstract
The non-essential amino acids serine and glycine are used in multiple anabolic processes that support cancer cell growth and proliferation (reviewed in ref. 1). While some cancer cells upregulate de novo serine synthesis, many others rely on exogenous serine for optimal growth. Restriction of dietary serine and glycine can reduce tumour growth in xenograft and allograft models. Here we show that this observation translates into more clinically relevant autochthonous tumours in genetically engineered mouse models of intestinal cancer (driven by Apc inactivation) or lymphoma (driven by Myc activation). The increased survival following dietary restriction of serine and glycine in these models was further improved by antagonizing the anti-oxidant response. Disruption of mitochondrial oxidative phosphorylation (using biguanides) led to a complex response that could improve or impede the anti-tumour effect of serine and glycine starvation. Notably, Kras-driven mouse models of pancreatic and intestinal cancers were less responsive to depletion of serine and glycine, reflecting an ability of activated Kras to increase the expression of enzymes that are part of the serine synthesis pathway and thus promote de novo serine synthesis.
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Affiliation(s)
- Oliver D K Maddocks
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
- University of Glasgow Institute of Cancer Sciences, Switchback Road, Glasgow G61 1QH, UK
| | - Dimitris Athineos
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - Eric C Cheung
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - Pearl Lee
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - Tong Zhang
- University of Glasgow Institute of Cancer Sciences, Switchback Road, Glasgow G61 1QH, UK
| | | | - Gillian M Mackay
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | | | - David Gay
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - Flore Kruiswijk
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - Julianna Blagih
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - David F Vincent
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | | | - Fatih Ceteci
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - Owen J Sansom
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
- University of Glasgow Institute of Cancer Sciences, Switchback Road, Glasgow G61 1QH, UK
| | - Karen Blyth
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
| | - Karen H Vousden
- Cancer Research UK Beatson Institute, Switchback Road, Glasgow G61 1BD, UK
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Abstract
Abstract
Pteridines and their derivatives function as intermediates in the metabolism of several vitamins and cofactors, and their relevance to disease has inspired new efforts to study their roles as disease biomarkers. Recent analytical advances, such as the emergence of sensitive mass spectrometry techniques, new workflows for measuring pteridine derivatives in their native oxidation states and increased multiplexing capacities for the simultaneous determination of many pteridine derivatives, have enabled researchers to explore the roles of urinary pteridines as disease biomarkers at much lower levels with greater accuracy than with previous technologies or methods. As a result, urinary pteridines are being increasingly studied as putative cancer biomarkers with promising results being reported from exploratory studies. In addition, the role of urinary neopterin as a universal biomarker for immune system activation is being investigated in new diseases where it is anticipated to become a useful supplementary marker in clinical diagnostic settings. In summary, this review provides an overview of recent developments in the clinical study of urinary pteridines as disease biomarkers, covers the most promising aspects of advanced analytical techniques being developed for the determination of urinary pteridines and discusses the major challenges associated with implementing pteridine biomarkers in clinical laboratory settings.
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Affiliation(s)
- Casey Burton
- Department of Chemistry and Center for Single Nanoparticle, Single Cell, and Single Molecule Monitoring, Missouri University of Science and Technology, Rolla, MO, USA
| | - Yinfa Ma
- Department of Chemistry and Center for Single Nanoparticle, Single Cell, and Single Molecule Monitoring, Missouri University of Science and Technology, 400 West 11th Street, Rolla, MO 65409, USA
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Pérez-Rambla C, Puchades-Carrasco L, García-Flores M, Rubio-Briones J, López-Guerrero JA, Pineda-Lucena A. Non-invasive urinary metabolomic profiling discriminates prostate cancer from benign prostatic hyperplasia. Metabolomics 2017; 13:52. [PMID: 28804274 PMCID: PMC5533870 DOI: 10.1007/s11306-017-1194-y] [Citation(s) in RCA: 44] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2016] [Accepted: 03/02/2017] [Indexed: 12/16/2022]
Abstract
INTRODUCTION Prostate cancer (PCa) is one of the most common malignancies in men worldwide. Serum prostate specific antigen (PSA) level has been extensively used as a biomarker to detect PCa. However, PSA is not cancer-specific and various non-malignant conditions, including benign prostatic hyperplasia (BPH), can cause a rise in PSA blood levels, thus leading to many false positive results. OBJECTIVES In this study, we evaluated the potential of urinary metabolomic profiling for discriminating PCa from BPH. METHODS Urine samples from 64 PCa patients and 51 individuals diagnosed with BPH were analysed using 1H nuclear magnetic resonance (1H-NMR). Comparative analysis of urinary metabolomic profiles was carried out using multivariate and univariate statistical approaches. RESULTS The urine metabolomic profile of PCa patients is characterised by increased concentrations of branched-chain amino acids (BCAA), glutamate and pseudouridine, and decreased concentrations of glycine, dimethylglycine, fumarate and 4-imidazole-acetate compared with individuals diagnosed with BPH. CONCLUSION PCa patients have a specific urinary metabolomic profile. The results of our study underscore the clinical potential of metabolomic profiling to uncover metabolic changes that could be useful to discriminate PCa from BPH in a clinical context.
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Affiliation(s)
- Clara Pérez-Rambla
- Structural Biochemistry Laboratory, Centro de Investigación Príncipe Felipe, 46012 Valencia, Spain
| | - Leonor Puchades-Carrasco
- Structural Biochemistry Laboratory, Centro de Investigación Príncipe Felipe, 46012 Valencia, Spain
| | - María García-Flores
- Laboratory of Molecular Biology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain
| | - José Rubio-Briones
- Department of Urology, Fundación Instituto Valenciano de Oncología, 46009 Valencia, Spain
| | | | - Antonio Pineda-Lucena
- Structural Biochemistry Laboratory, Centro de Investigación Príncipe Felipe, 46012 Valencia, Spain
- Drug Discovery Unit, Instituto de Investigación Sanitaria La Fe, Avda. Fernando Abril Martorell, 106, 46026 Valencia, Spain
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Gagnebin Y, Tonoli D, Lescuyer P, Ponte B, de Seigneux S, Martin PY, Schappler J, Boccard J, Rudaz S. Metabolomic analysis of urine samples by UHPLC-QTOF-MS: Impact of normalization strategies. Anal Chim Acta 2017; 955:27-35. [DOI: 10.1016/j.aca.2016.12.029] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Revised: 12/08/2016] [Accepted: 12/20/2016] [Indexed: 10/20/2022]
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Alonezi S, Tusiimire J, Wallace J, Dufton MJ, Parkinson JA, Young LC, Clements CJ, Park JK, Jeon JW, Ferro VA, Watson DG. Metabolomic Profiling of the Effects of Melittin on Cisplatin Resistant and Cisplatin Sensitive Ovarian Cancer Cells Using Mass Spectrometry and Biolog Microarray Technology. Metabolites 2016; 6:metabo6040035. [PMID: 27754384 PMCID: PMC5192441 DOI: 10.3390/metabo6040035] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2016] [Revised: 10/10/2016] [Accepted: 10/11/2016] [Indexed: 12/30/2022] Open
Abstract
In the present study, liquid chromatography-mass spectrometry (LC-MS) was employed to characterise the metabolic profiles of two human ovarian cancer cell lines A2780 (cisplatin-sensitive) and A2780CR (cisplatin-resistant) in response to their exposure to melittin, a cytotoxic peptide from bee venom. In addition, the metabolomics data were supported by application of Biolog microarray technology to examine the utilisation of carbon sources by the two cell lines. Data extraction with MZmine 2.14 and database searching were applied to provide metabolite lists. Principal component analysis (PCA) gave clear separation between the cisplatin-sensitive and resistant strains and their respective controls. The cisplatin-resistant cells were slightly more sensitive to melittin than the sensitive cells with IC50 values of 4.5 and 6.8 μg/mL respectively, although the latter cell line exhibited the greatest metabolic perturbation upon treatment. The changes induced by melittin in the cisplatin-sensitive cells led mostly to reduced levels of amino acids in the proline/glutamine/arginine pathway, as well as to decreased levels of carnitines, polyamines, adenosine triphosphate (ATP) and nicotinamide adenine dinucleotide (NAD+). The effects on energy metabolism were supported by the data from the Biolog assays. The lipid compositions of the two cell lines were quite different with the A2780 cells having higher levels of several ether lipids than the A2780CR cells. Melittin also had some effect on the lipid composition of the cells. Overall, this study suggests that melittin might have some potential as an adjuvant therapy in cancer treatment.
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Affiliation(s)
- Sanad Alonezi
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Jonans Tusiimire
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Jennifer Wallace
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G1 1XL, UK.
| | - Mark J Dufton
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G1 1XL, UK.
| | - John A Parkinson
- WestCHEM, Department of Pure and Applied Chemistry, University of Strathclyde, 295 Cathedral Street, Glasgow G1 1XL, UK.
| | - Louise C Young
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Carol J Clements
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Jin Kyu Park
- Beesen Co. Ltd., Bio Venture Town, Yuseong Daero 1662, Dae Jeon 34054, Korea.
| | - Jong Woon Jeon
- Beesen Co. Ltd., Bio Venture Town, Yuseong Daero 1662, Dae Jeon 34054, Korea.
| | - Valerie A Ferro
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - David G Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
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Tang DQ, Zou L, Yin XX, Ong CN. HILIC-MS for metabolomics: An attractive and complementary approach to RPLC-MS. MASS SPECTROMETRY REVIEWS 2016; 35:574-600. [PMID: 25284160 DOI: 10.1002/mas.21445] [Citation(s) in RCA: 121] [Impact Index Per Article: 15.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2014] [Accepted: 07/28/2014] [Indexed: 05/14/2023]
Abstract
Hydrophilic interaction chromatography (HILIC) is an emerging separation mode of liquid chromatography (LC). Using highly hydrophilic stationary phases capable of retaining polar/ionic metabolites, and accompany with high organic content mobile phase that offer readily compatibility with mass spectrometry (MS) has made HILIC an attractive complementary tool to the widely used reverse-phase (RP) chromatographic separations in metabolomic studies. The combination of HILIC and RPLC coupled with an MS detector expands the number of detected analytes and provides more comprehensive metabolite coverage than use of only RP chromatography. This review describes the recent applications of HILIC-MS/MS in metabolomic studies, ranging from amino acids, lipids, nucleotides, organic acids, pharmaceuticals, and metabolites of specific nature. The biological systems investigated include microbials, cultured cell line, plants, herbal medicine, urine, and serum as well as tissues from animals and humans. Owing to its unique capability to measure more-polar biomolecules, the HILIC separation technique would no doubt enhance the comprehensiveness of metabolite detection, and add significant value for metabolomic investigations. © 2014 Wiley Periodicals, Inc. Mass Spec Rev 35:574-600, 2016.
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Affiliation(s)
- Dao-Quan Tang
- Department of Pharmaceutical Analysis, Xuzhou Medical College, Xuzhou, 221044, China
- Jiangsu Key Lab for the study of New Drug and Clinical Pharmacy, Xuzhou Medical College, Yunlong, China
- NUS Environmental Research Inst., National University of Singapore, 5 A Engineering Srive 1, Singapore, 117411, Singapore
| | - Ll Zou
- Saw Swee Hock School of Public Health, National University of Singapore, 16 Medical Drive, Singapore, 117597, Singapore
| | - Xiao-Xing Yin
- Jiangsu Key Lab for the study of New Drug and Clinical Pharmacy, Xuzhou Medical College, Yunlong, China
| | - Choon Nam Ong
- NUS Environmental Research Inst., National University of Singapore, 5 A Engineering Srive 1, Singapore, 117411, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, 16 Medical Drive, Singapore, 117597, Singapore
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Biomarker Discovery in Human Prostate Cancer: an Update in Metabolomics Studies. Transl Oncol 2016; 9:357-70. [PMID: 27567960 PMCID: PMC5006818 DOI: 10.1016/j.tranon.2016.05.004] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Revised: 05/21/2016] [Accepted: 05/31/2016] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (PCa) is the most frequently diagnosed cancer and the second leading cause of cancer death among men in Western countries. Current screening techniques are based on the measurement of serum prostate specific antigen (PSA) levels and digital rectal examination. A decisive diagnosis of PCa is based on prostate biopsies; however, this approach can lead to false-positive and false-negative results. Therefore, it is important to discover new biomarkers for the diagnosis of PCa, preferably noninvasive ones. Metabolomics is an approach that allows the analysis of the entire metabolic profile of a biological system. As neoplastic cells have a unique metabolic phenotype related to cancer development and progression, the identification of dysfunctional metabolic pathways using metabolomics can be used to discover cancer biomarkers and therapeutic targets. In this study, we review several metabolomics studies performed in prostatic fluid, blood plasma/serum, urine, tissues and immortalized cultured cell lines with the objective of discovering alterations in the metabolic phenotype of PCa and thus discovering new biomarkers for the diagnosis of PCa. Encouraging results using metabolomics have been reported for PCa, with sarcosine being one of the most promising biomarkers identified to date. However, the use of sarcosine as a PCa biomarker in the clinic remains a controversial issue within the scientific community. Beyond sarcosine, other metabolites are considered to be biomarkers for PCa, but they still need clinical validation. Despite the lack of metabolomics biomarkers reaching clinical practice, metabolomics proved to be a powerful tool in the discovery of new biomarkers for PCa detection.
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Methods used to increase the comprehensive coverage of urinary and plasma metabolomes by MS. Bioanalysis 2016; 8:981-97. [DOI: 10.4155/bio-2015-0010] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Metabolomics, focusing on comprehensive analysis of all the metabolites in a biological system, provides a direct signature of biochemical activity. Using emerging technologies in MS, it is possible to simultaneously and rapidly analyze thousands of metabolites. However, due to the chemical and physical diversity of metabolites, it is difficult to acquire a comprehensive and reliable profiling of the whole metabolome. Here, we summarize the state of the art in metabolomics research, focusing on efforts to provide a more comprehensive metabolome coverage via improvements in two fundamental processes: sample preparation and MS analysis. Additionally, the reliable analysis is also highlighted via the combinations of multiple methods (e.g., targeted and untargeted approaches), and analytical quality control and calibration methods.
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Kelly RS, Vander Heiden MG, Giovannucci E, Mucci LA. Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence. Cancer Epidemiol Biomarkers Prev 2016; 25:887-906. [PMID: 27197278 DOI: 10.1158/1055-9965.epi-15-1223] [Citation(s) in RCA: 90] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Accepted: 03/23/2016] [Indexed: 02/07/2023] Open
Abstract
Metabolite profiling is being increasing employed in the study of prostate cancer as a means of identifying predictive, diagnostic, and prognostic biomarkers. This review provides a summary and critique of the current literature. Thirty-three human case-control studies of prostate cancer exploring disease prediction, diagnosis, progression, or treatment response were identified. All but one demonstrated the ability of metabolite profiling to distinguish cancer from benign, tumor aggressiveness, cases who recurred, and those who responded well to therapy. In the subset of studies where biomarker discriminatory ability was quantified, high AUCs were reported that would potentially outperform the current gold standards in diagnosis, prognosis, and disease recurrence, including PSA testing. There were substantial similarities between the metabolites and the associated pathways reported as significant by independent studies, and important roles for abnormal cell growth, intensive cell proliferation, and dysregulation of lipid metabolism were highlighted. The weight of the evidence therefore suggests metabolic alterations specific to prostate carcinogenesis and progression that may represent potential metabolic biomarkers. However, replication and validation of the most promising biomarkers is currently lacking and a number of outstanding methodologic issues remain to be addressed to maximize the utility of metabolomics in the study of prostate cancer. Cancer Epidemiol Biomarkers Prev; 25(6); 887-906. ©2016 AACR.
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Affiliation(s)
- Rachel S Kelly
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
| | - Matthew G Vander Heiden
- Koch Institute for Integrative Cancer Research at Massachusetts Institute of Technology, Cambridge, Massachusetts. Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Edward Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts. Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
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Zhang R, Zhang T, Ali AM, Al Washih M, Pickard B, Watson DG. Metabolomic Profiling of Post-Mortem Brain Reveals Changes in Amino Acid and Glucose Metabolism in Mental Illness Compared with Controls. Comput Struct Biotechnol J 2016; 14:106-16. [PMID: 27076878 PMCID: PMC4813093 DOI: 10.1016/j.csbj.2016.02.003] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Revised: 02/07/2016] [Accepted: 02/09/2016] [Indexed: 12/04/2022] Open
Abstract
Metabolomic profiling was carried out on 53 post-mortem brain samples from subjects diagnosed with schizophrenia, depression, bipolar disorder (SDB), diabetes, and controls. Chromatography on a ZICpHILIC column was used with detection by Orbitrap mass spectrometry. Data extraction was carried out with m/z Mine 2.14 with metabolite searching against an in-house database. There was no clear discrimination between the controls and the SDB samples on the basis of a principal components analysis (PCA) model of 755 identified or putatively identified metabolites. Orthogonal partial least square discriminant analysis (OPLSDA) produced clear separation between 17 of the controls and 19 of the SDB samples (R2CUM 0.976, Q2 0.671, p-value of the cross-validated ANOVA score 0.0024). The most important metabolites producing discrimination were the lipophilic amino acids leucine/isoleucine, proline, methionine, phenylalanine, and tyrosine; the neurotransmitters GABA and NAAG and sugar metabolites sorbitol, gluconic acid, xylitol, ribitol, arabinotol, and erythritol. Eight samples from diabetic brains were analysed, six of which grouped with the SDB samples without compromising the model (R2 CUM 0.850, Q2 CUM 0.534, p-value for cross-validated ANOVA score 0.00087). There appears on the basis of this small sample set to be some commonality between metabolic perturbations resulting from diabetes and from SDB.
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Affiliation(s)
- Rong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow G4 0RE, Scotland, UK; Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, No. 12 Jichang Road, Guangzhou 510405, China
| | - Tong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow G4 0RE, Scotland, UK
| | - Ali Muhsen Ali
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow G4 0RE, Scotland, UK; Department of Clinical Biochemistry/Diabetes and Endocrinology Centre, Thi-Qar Health Office, Thi-Qar, Nassiriya, Iraq
| | - Mohammed Al Washih
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow G4 0RE, Scotland, UK; General Directorate of Medical Services, Ministry of Interior, Riyadh 13321, KSA
| | - Benjamin Pickard
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow G4 0RE, Scotland, UK
| | - David G Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, 161, Cathedral Street, Glasgow G4 0RE, Scotland, UK
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Metabolomic Profiling of Submaximal Exercise at a Standardised Relative Intensity in Healthy Adults. Metabolites 2016; 6:metabo6010009. [PMID: 26927198 PMCID: PMC4812338 DOI: 10.3390/metabo6010009] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 02/18/2016] [Accepted: 02/22/2016] [Indexed: 01/10/2023] Open
Abstract
Ten physically active subjects underwent two cycling exercise trials. In the first, aerobic capacity (VO2max) was determined and the second was a 45 min submaximal exercise test. Urine samples were collected separately the day before (day 1) , the day of (day 2), and the day after (day 3) the submaximal exercise test (12 samples per subject). Metabolomic profiling of the samples was carried out using hydrophilic interaction chromatography (HILIC) coupled to an Orbitrap Exactive mass spectrometer. Data were extracted, database searched and then subjected to principle components (PCA) and orthogonal partial least squares (OPLSDA) modelling. The best results were obtained from pre-treating the data by normalising the metabolites to their mean output on days 1 and 2 of the trial. This allowed PCA to separate the day 2 first void samples (D2S1) from the day 2 post-exercise samples (D2S3) PCA also separated the equivalent samples obtained on day 1 (D1S1 and D1S3). OPLSDA modelling separated both the D2S1 and D2S3 samples and D1S1 and D1S3 samples. The metabolites affected by the exercise samples included a range of purine metabolites and several acyl carnitines. Some metabolites were subject to diurnal variation these included bile acids and several amino acids, the variation of these metabolites was similar on day 1 and day 2 despite the exercise intervention on day 2. Using OPLS modelling it proved possible to identify a single abundant urinary metabolite provisionally identified as oxo-aminohexanoic acid (OHA) as being strongly correlated with VO2max when the levels in the D2S3 samples were considered.
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Zhang T, Zhang R, Zhang L, Zhang Z, Hou R, Wang H, Loeffler IK, Watson DG, Kennedy MW. Changes in the Milk Metabolome of the Giant Panda (Ailuropoda melanoleuca) with Time after Birth--Three Phases in Early Lactation and Progressive Individual Differences. PLoS One 2015; 10:e0143417. [PMID: 26630345 PMCID: PMC4668050 DOI: 10.1371/journal.pone.0143417] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 11/04/2015] [Indexed: 12/24/2022] Open
Abstract
Ursids (bears) in general, and giant pandas in particular, are highly altricial at birth. The components of bear milks and their changes with time may be uniquely adapted to nourish relatively immature neonates, protect them from pathogens, and support the maturation of neonatal digestive physiology. Serial milk samples collected from three giant pandas in early lactation were subjected to untargeted metabolite profiling and multivariate analysis. Changes in milk metabolites with time after birth were analysed by Principal Component Analysis, Hierarchical Cluster Analysis and further supported by Orthogonal Partial Least Square-Discriminant Analysis, revealing three phases of milk maturation: days 1–6 (Phase 1), days 7–20 (Phase 2), and beyond day 20 (Phase 3). While the compositions of Phase 1 milks were essentially indistinguishable among individuals, divergences emerged during the second week of lactation. OPLS regression analysis positioned against the growth rate of one cub tentatively inferred a correlation with changes in the abundance of a trisaccharide, isoglobotriose, previously observed to be a major oligosaccharide in ursid milks. Three artificial milk formulae used to feed giant panda cubs were also analysed, and were found to differ markedly in component content from natural panda milk. These findings have implications for the dependence of the ontogeny of all species of bears, and potentially other members of the Carnivora and beyond, on the complexity and sequential changes in maternal provision of micrometabolites in the immediate period after birth.
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Affiliation(s)
- Tong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences, Glasgow, Scotland, United Kingdom
| | - Rong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences, Glasgow, Scotland, United Kingdom
- Institute of Clinical Pharmacology, Guangzhou University of Chinese Medicine, Guangzhou, P.R. China
| | - Liang Zhang
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Northern Suburb, Chengdu, Sichuan Province, P.R. China
| | - Zhihe Zhang
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Northern Suburb, Chengdu, Sichuan Province, P.R. China
| | - Rong Hou
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Northern Suburb, Chengdu, Sichuan Province, P.R. China
| | - Hairui Wang
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Northern Suburb, Chengdu, Sichuan Province, P.R. China
| | - I. Kati Loeffler
- Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu Research Base of Giant Panda Breeding, Northern Suburb, Chengdu, Sichuan Province, P.R. China
| | - David G. Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, Glasgow, Scotland, United Kingdom
| | - Malcolm W. Kennedy
- Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary, and Life Sciences, Graham Kerr Building, University of Glasgow, Glasgow, Scotland, United Kingdom
- * E-mail:
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Lloyd SM, Arnold J, Sreekumar A. Metabolomic profiling of hormone-dependent cancers: a bird's eye view. Trends Endocrinol Metab 2015; 26:477-85. [PMID: 26242817 PMCID: PMC4560106 DOI: 10.1016/j.tem.2015.07.001] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 06/19/2015] [Accepted: 07/01/2015] [Indexed: 01/18/2023]
Abstract
Hormone-dependent cancers present a significant public health challenge, because they are among the most common cancers in the world. One factor associated with cancer development and progression is metabolic reprogramming. By understanding these alterations, we can identify potential markers and novel biochemical therapeutic targets. Metabolic profiling is an advanced technology that allows investigators to assess low-molecular-weight compounds that reflect physiological alterations. Current research in metabolomics on prostate (PCa) and breast cancer (BCa) have made great strides in uncovering specific metabolic pathways that are associated with cancer development, progression, and resistance. In this review, we highlight some of the major findings and potential therapeutic advances that have been reported utilizing this technology.
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Affiliation(s)
- Stacy M Lloyd
- Alkek Center for Molecular Discovery, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - James Arnold
- Alkek Center for Molecular Discovery, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA; Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Arun Sreekumar
- Alkek Center for Molecular Discovery, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA; Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, TX 77030, USA.
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Abstract
Over the last decade there has been a bottleneck in the introduction of new validated cancer metabolic biomarkers into clinical practice. Unfortunately, there are no biomarkers with adequate sensitivity for the early detection of cancer, and there remain a reliance on cancer antigens for monitoring treatment. The need for new diagnostics has led to the exploration of untargeted metabolomics for discovery of early biomarkers of specific cancers and targeted metabolomics to elucidate mechanistic aspects of tumor progression. The successful translation of such strategies to the treatment of cancer would allow earlier intervention to improve survival. We have reviewed the methodology that is being used to achieve these goals together with recent advances in implementing translational metabolomics in cancer.
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Affiliation(s)
- Nathaniel W Snyder
- Penn SRP Center & Excellence in Environmental Toxicology, Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, PA 19104, USA.,AJ Drexel Autism Institute, Drexel University, PA 19104, USA
| | - Clementina Mesaros
- Penn SRP Center & Excellence in Environmental Toxicology, Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, PA 19104, USA
| | - Ian A Blair
- Penn SRP Center & Excellence in Environmental Toxicology, Department of Systems Pharmacology & Translational Therapeutics, University of Pennsylvania, PA 19104, USA
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Struck-Lewicka W, Kordalewska M, Bujak R, Yumba Mpanga A, Markuszewski M, Jacyna J, Matuszewski M, Kaliszan R, Markuszewski MJ. Urine metabolic fingerprinting using LC–MS and GC–MS reveals metabolite changes in prostate cancer: A pilot study. J Pharm Biomed Anal 2015; 111:351-61. [DOI: 10.1016/j.jpba.2014.12.026] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Revised: 12/11/2014] [Accepted: 12/13/2014] [Indexed: 01/16/2023]
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Long Y, Dong X, Yuan Y, Huang J, Song J, Sun Y, Lu Z, Yang L, Yu W. Metabolomics changes in a rat model of obstructive jaundice: mapping to metabolism of amino acids, carbohydrates and lipids as well as oxidative stress. J Clin Biochem Nutr 2015; 57:50-9. [PMID: 26236101 PMCID: PMC4512893 DOI: 10.3164/jcbn.14-147] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Accepted: 03/04/2015] [Indexed: 12/11/2022] Open
Abstract
The study examined the global metabolic and some biochemical changes in rats with cholestasis induced by bile duct ligation (BDL). Serum samples were collected in male Wistar rats with BDL (n = 8) and sham surgery (n = 8) at day 3 after surgery for metabolomics analysis using a combination of reversed phase chromatography and hydrophilic interaction chromatography (HILIC) and quadrupole-time-of-flight mass spectrometry (Q-TOF MS). The serum levels of malondialdehyde (MDA), total antioxidative capacity (T-AOC), glutathione (GSH) and glutathione disulfide (GSSG), the activities of superoxide dismutase (SOD) and glutathion peroxidase (GSH-Px) were measured to estimate the oxidative stress state. Key changes after BDL included increased levels of l-phenylalanine, l-glutamate, l-tyrosine, kynurenine, l-lactic acid, LysoPCc (14:0), glycine and succinic acid and decreased levels of l-valine, PCb (19:0/0:0), taurine, palmitic acid, l-isoleucine and citric acid metabolism products. And treatment with BDL significantly decreased the levels of GSH, T-AOC as well as SOD, GSH-Px activities, and upregulated MDA levels. The changes could be mapped to metabolism of amino acids and lipids, Krebs cycle and glycolysis, as well as increased oxidative stress and decreased antioxidant capability. Our study indicated that BDL induces major changes in the metabolism of all 3 major energy substances, as well as oxidative stress.
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Affiliation(s)
- Yue Long
- Department of Anaesthesiology, Eastern Hepatobiliary Surgical Hospital, Second Military Medical University, Shanghai 200438, China ; Department of Anesthesiology, 163th Hospital of PLA, Hunan 410003, China
| | - Xin Dong
- Department of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai 200433, China
| | - Yawei Yuan
- Department of Anaesthesiology, Eastern Hepatobiliary Surgical Hospital, Second Military Medical University, Shanghai 200438, China
| | - Jinqiang Huang
- Department of Anaesthesiology, Eastern Hepatobiliary Surgical Hospital, Second Military Medical University, Shanghai 200438, China
| | - Jiangang Song
- Department of Anesthesiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Yumin Sun
- Department of Anaesthesiology, Eastern Hepatobiliary Surgical Hospital, Second Military Medical University, Shanghai 200438, China
| | - Zhijie Lu
- Department of Anaesthesiology, Eastern Hepatobiliary Surgical Hospital, Second Military Medical University, Shanghai 200438, China
| | - Liqun Yang
- Department of Anesthesiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Weifeng Yu
- Department of Anaesthesiology, Eastern Hepatobiliary Surgical Hospital, Second Military Medical University, Shanghai 200438, China
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Li J, Zhu SF, Zhao XL, Liu YX, Wan MH, Guo H, Liu YL, Gong HL, Chen GY, Tang WF. Metabolomic profiles illuminate the efficacy of Chinese herbal Da-Cheng-Qi decoction on acute pancreatitis in rats. Pancreatology 2015; 15:337-43. [PMID: 26048200 DOI: 10.1016/j.pan.2015.04.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2014] [Revised: 04/18/2015] [Accepted: 04/20/2015] [Indexed: 02/05/2023]
Abstract
BACKGROUND AND OBJECTIVES Chinese herbal drug Da-Cheng-Qi decoction (DCQD) has been widely used for decades to treat acute pancreatitis (AP). Previous trials are mostly designed to state the potential mechanisms of the therapeutic effects rather than to detect its whole effect on metabolism. This study aimed to investigate the efficacy of DCQD on metabolism in AP. METHODS Twenty-two male adult Sprague-Dawley rats were randomized into three groups. AP was induced by retrograde ductal infusion of 3.5% sodium taurocholate solution in DCQD and AP group, while 0.9% saline solution was used in sham operation (SO) group. Blood samples were obtained 12 h after drug administration and a 600 MHz superconducting Nuclear Magnetic Resonance (NMR) spectrometer was used to detected plasma metabolites. Principal Components Analysis (PCA) and Partial Least Squares-Discriminant Analysis after Orthogonal Signal Correction (OSC-PLS-DA) were applied to analyze the Longitudinal Eddy-delay (LED) and Carr-Purcell-Meiboom-Gill (CPMG) spectra. RESULTS Differences in concentrations of metabolites among the three groups were detected by OSC-PLS-DA of 1HNMR spectra (both LED and CPMG). Compared with SO group, DCQD group had higher levels of plasma glycerol, glutamic acid, low density lipoprotein (LDL), saturated fatty acid (FA) and lower levels of alanine and glutamine, while the metabolic changes were reversed in the AP group. CONCLUSIONS Our results demonstrated that DCQD was capable of altering the changed concentrations of metabolites in rats with AP and 1HNMR-based metabolomic approach provided a new methodological cue for systematically investigating the efficacies and mechanisms of DCQD in treating AP.
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Affiliation(s)
- Juan Li
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Shi-Feng Zhu
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Xian-Lin Zhao
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Yi-Xia Liu
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China; China Tibetology Research Center, 100101, Beijing, China
| | - Mei-Hua Wan
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Hui Guo
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Yi-Ling Liu
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Han-Lin Gong
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Guang-Yuan Chen
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China
| | - Wen-Fu Tang
- Department of Integrative Medicine, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.
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Contrepois K, Jiang L, Snyder M. Optimized Analytical Procedures for the Untargeted Metabolomic Profiling of Human Urine and Plasma by Combining Hydrophilic Interaction (HILIC) and Reverse-Phase Liquid Chromatography (RPLC)-Mass Spectrometry. Mol Cell Proteomics 2015; 14:1684-95. [PMID: 25787789 PMCID: PMC4458729 DOI: 10.1074/mcp.m114.046508] [Citation(s) in RCA: 158] [Impact Index Per Article: 17.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2014] [Indexed: 12/01/2022] Open
Abstract
Profiling of body fluids is crucial for monitoring and discovering metabolic markers of health and disease and for providing insights into human physiology. Since human urine and plasma each contain an extreme diversity of metabolites, a single liquid chromatographic system when coupled to mass spectrometry (MS) is not sufficient to achieve reasonable metabolome coverage. Hydrophilic interaction liquid chromatography (HILIC) offers complementary information to reverse-phase liquid chromatography (RPLC) by retaining polar metabolites. With the objective of finding the optimal combined chromatographic solution to profile urine and plasma, we systematically investigated the performance of five HILIC columns with different chemistries operated at three different pH (acidic, neutral, basic) and five C18-silica RPLC columns. The zwitterionic column ZIC-HILIC operated at neutral pH provided optimal performance on a large set of hydrophilic metabolites. The RPLC columns Hypersil GOLD and Zorbax SB aq were proven to be best suited for the metabolic profiling of urine and plasma, respectively. Importantly, the optimized HILIC-MS method showed excellent intrabatch peak area reproducibility (CV < 12%) and good long-term interbatch (40 days) peak area reproducibility (CV < 22%) that were similar to those of RPLC-MS procedures. Finally, combining the optimal HILIC- and RPLC-MS approaches greatly expanded metabolome coverage with 44% and 108% new metabolic features detected compared with RPLC-MS alone for urine and plasma, respectively. The proposed combined LC-MS approaches improve the comprehensiveness of global metabolic profiling of body fluids and thus are valuable for monitoring and discovering metabolic changes associated with health and disease in clinical research studies.
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Affiliation(s)
- Kévin Contrepois
- From the Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Lihua Jiang
- From the Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael Snyder
- From the Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
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Daskalaki E, Blackburn G, Kalna G, Zhang T, Anthony N, Watson DG. A study of the effects of exercise on the urinary metabolome using normalisation to individual metabolic output. Metabolites 2015; 5:119-39. [PMID: 25734341 PMCID: PMC4381293 DOI: 10.3390/metabo5010119] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 02/13/2015] [Accepted: 02/22/2015] [Indexed: 12/30/2022] Open
Abstract
Aerobic exercise, in spite of its multi-organ benefit and potent effect on the metabolome, has yet to be investigated comprehensively via an untargeted metabolomics technology. We conducted an exploratory untargeted liquid chromatography mass spectrometry study to investigate the effects of a one-h aerobic exercise session in the urine of three physically active males. Individual urine samples were collected over a 37-h protocol (two pre-exercise and eight post-exercise). Raw data were subjected to a variety of normalization techniques, with the most effective measure dividing each metabolite by the sum response of that metabolite for each individual across the 37-h protocol expressed as a percentage. This allowed the metabolite responses to be plotted on a normalised scale. Our results highlight significant metabolites located in the following systems: purine pathway, tryptophan metabolism, carnitine metabolism, cortisol metabolism, androgen metabolism, amino acid oxidation, as well as metabolites from the gastrointestinal microbiome. Many of the significant changes observed in our pilot investigation mirror previous research studies, of various methodological designs, published within the last 15 years, although they have never been reported at the same time in a single study.
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Affiliation(s)
- Evangelia Daskalaki
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Gavin Blackburn
- Glasgow Polyomics, University of Glasgow, Wolfson Wohl Cancer Research Centre, Glasgow G61 1 BD, UK.
| | - Gabriela Kalna
- The Beatson Institute for Cancer Research, Garscube Estate, Glasgow G61 1BD, UK.
| | - Tong Zhang
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - Nahoum Anthony
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
| | - David G Watson
- Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow G4 0RE, UK.
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Yin P, Xu G. Current state-of-the-art of nontargeted metabolomics based on liquid chromatography-mass spectrometry with special emphasis in clinical applications. J Chromatogr A 2014; 1374:1-13. [PMID: 25444251 DOI: 10.1016/j.chroma.2014.11.050] [Citation(s) in RCA: 83] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Revised: 11/16/2014] [Accepted: 11/17/2014] [Indexed: 12/21/2022]
Abstract
Metabolomics, as a part of systems biology, has been widely applied in different fields of life science by studying the endogenous metabolites. The development and applications of liquid chromatography (LC) coupled with high resolution mass spectrometry (MS) greatly improve the achievable data quality in non-targeted metabolic profiling. However, there are still some emerging challenges to be covered in LC-MS based metabolomics. Here, recent approaches about sample collection and preparation, instrumental analysis, and data handling of LC-MS based metabolomics are summarized, especially in the analysis of clinical samples. Emphasis is put on the improvement of analytical techniques including the combination of different LC columns, isotope coded derivatization methods, pseudo-targeted LC-MS method, new data analysis algorithms and structural identification of important metabolites.
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Affiliation(s)
- Peiyuan Yin
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Guowang Xu
- Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.
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Zhang R, Watson DG, Wang L, Westrop GD, Coombs GH, Zhang T. Evaluation of mobile phase characteristics on three zwitterionic columns in hydrophilic interaction liquid chromatography mode for liquid chromatography-high resolution mass spectrometry based untargeted metabolite profiling of Leishmania parasites. J Chromatogr A 2014; 1362:168-79. [DOI: 10.1016/j.chroma.2014.08.039] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Revised: 08/08/2014] [Accepted: 08/11/2014] [Indexed: 11/30/2022]
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Buzatto AZ, de Sousa AC, Guedes SF, Cieslarová Z, Simionato AVC. Metabolomic investigation of human diseases biomarkers by CE and LC coupled to MS. Electrophoresis 2014; 35:1285-307. [PMID: 24375663 DOI: 10.1002/elps.201300470] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2013] [Revised: 12/18/2013] [Accepted: 12/19/2013] [Indexed: 12/13/2022]
Abstract
Metabolomics is one of the most recent trends in the "omics" era that investigates the end products of an organism activity, that is, all metabolites in a biological system, which are small molecules (less than 1000 Da) from different chemical classes. Metabolomics represents a tool to assess the biochemical activity of a living system through the analysis of substrates and products processed during the metabolism. The analysis of the metabolic profile (nontargeted analysis, i.e. a comparison between samples profiles of individuals) and of specific metabolites (targeted analysis, which quantifies a selected group of metabolites) in biological samples provides an insight into the metabolic state and the biochemical processes of the organism and, therefore, may indicate the onset and the stage of different diseases. An early and accurate diagnosis is essential for successful treatment and probable cure of most illnesses; hence, the investigation of metabolites as disease biomarkers has increased considerably in recent years. This review aims to present the most relevant works that address the nontargeted and targeted analysis of metabolites in different diseases for the past 10 years, including kidney and neurological disorders, cardiovascular diseases, diabetes, and cancer, using CE and LC coupled with the accurate detection of mass spectroscopy.
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Affiliation(s)
- Adriana Z Buzatto
- Institute of Chemistry, University of Campinas - Unicamp, Campinas, Brazil
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Metabolomics coupled with pattern recognition and pathway analysis on potential biomarkers in liver injury and hepatoprotective effects of yinchenhao. Appl Biochem Biotechnol 2014; 173:857-69. [PMID: 24728784 DOI: 10.1007/s12010-014-0903-5] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2014] [Accepted: 04/02/2014] [Indexed: 10/25/2022]
Abstract
Metabolomics can provide an opportunity to develop the systematic analysis of the metabolites in biological samples and has been increasingly applied to discovering and identifying biomarkers and perturbed pathways. It enables us to better understand the metabolic pathways which can clarify the mechanism of traditional Chinese medicines (TCM). Yinchenhao (YCH, Artemisia annua L), a famous TCM plant, has been used clinically for more than a thousand years to relieve liver diseases in Asia, and its mechanisms are not still completely clear. Here, metabolomic techniques may provide additional insight, and our investigation was designed to assess the effects and possible mechanisms of YCH on α-naphthylisothiocyanate (ANIT)-induced liver injury. Metabolite profiling was performed by ultra-performance liquid chromatography/electrospray ionization quadruple time-of-flight mass spectrometry (UPLC/ESI-Q-TOF/MS) combined with pathway analysis and pattern recognition approaches including independent component analysis (ICA) and partial least squares-discriminant analysis (PLS-DA). Biochemistry test was also performed for the liver tissue and plasma samples. The changes in metabolic profiling were restored to their baseline values after YCH treatment according to the ICA score plots. Of note, YCH has a potential pharmacological effect through regulating multiple perturbed pathways to normal state, correlating well to the assessment of biochemistry test. Five different potential biomarkers in the positive mode contributing to the treatment of YCH were discovered. Pathway analysis showed that these metabolites were associated with perturbations in pyrimidine metabolism, primary bile acid biosynthesis, and propanoate metabolism, which may be helpful to further understand the action mechanisms of YCH. It showed that changed biomarkers and pathways may provide evidence to insight into drug action mechanisms and drug discovery.
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Sun H, Zhang S, Zhang A, Yan G, Wu X, Han Y, Wang X. Metabolomic analysis of diet-induced type 2 diabetes using UPLC/MS integrated with pattern recognition approach. PLoS One 2014; 9:e93384. [PMID: 24671089 PMCID: PMC3966886 DOI: 10.1371/journal.pone.0093384] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2013] [Accepted: 03/04/2014] [Indexed: 11/28/2022] Open
Abstract
Metabolomics represents an emerging discipline concerned with comprehensive assessment of small molecule endogenous metabolites in biological systems and provides a powerful approach insight into the mechanisms of diseases. Type 2 diabetes (T2D), called the burden of the 21st century, is growing with an epidemic rate. However, its precise molecular mechanism has not been comprehensively explored. In this study, we applied urinary metabolomics based on the UPLC/MS integrated with pattern recognition approaches to discover differentiating metabolites, to characterize and explore metabolic pathway disruption in an experimental model for high-fat-diet induced T2D. Six differentiating urinary metabolites were found in the negative mode, and two (2-(4-hydroxy-3-methoxy-phenyl) acetaldehyde sulfate, 2-phenylethanol glucuronide) of which were identified involving the key metabolic pathways linked to pentose and glucuronate interconversions, starch, sucrose metabolism and tyrosine metabolism. Our study provides new insight into pathophysiologic mechanisms and may enhance the understanding of T2D pathogenesis.
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Affiliation(s)
- Hui Sun
- Department of Pharmaceutical Analysis, Key Lab of Metabolomics and Chinmedomics, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Shuxiang Zhang
- Department of Pharmaceutical Analysis, Key Lab of Metabolomics and Chinmedomics, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Aihua Zhang
- Department of Pharmaceutical Analysis, Key Lab of Metabolomics and Chinmedomics, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Guangli Yan
- Department of Pharmaceutical Analysis, Key Lab of Metabolomics and Chinmedomics, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xiuhong Wu
- Department of Pharmaceutical Analysis, Key Lab of Metabolomics and Chinmedomics, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Ying Han
- Department of Pharmaceutical Analysis, Key Lab of Metabolomics and Chinmedomics, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Xijun Wang
- Department of Pharmaceutical Analysis, Key Lab of Metabolomics and Chinmedomics, National TCM Key Laboratory of Serum Pharmacochemistry, Heilongjiang University of Chinese Medicine, Harbin, China
- * E-mail:
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Roine A, Veskimäe E, Tuokko A, Kumpulainen P, Koskimäki J, Keinänen TA, Häkkinen MR, Vepsäläinen J, Paavonen T, Lekkala J, Lehtimäki T, Tammela TL, Oksala NKJ. Detection of prostate cancer by an electronic nose: a proof of principle study. J Urol 2014; 192:230-4. [PMID: 24582536 DOI: 10.1016/j.juro.2014.01.113] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/24/2014] [Indexed: 12/26/2022]
Abstract
PURPOSE We evaluate the ability of an electronic nose to discriminate prostate cancer from benign prostatic hyperplasia using urine headspace, potentially offering a clinically applicable noninvasive and rapid diagnostic method. MATERIALS AND METHODS The ChemPro® 100-eNose was used to discriminate prostate cancer from benign prostatic hyperplasia using urine sample headspace. Its performance was tested with 50 patients with confirmed prostate cancer and 24 samples from 15 patients with benign prostatic hyperplasia (15 patients provided urine preoperatively and 9 patients provided samples 3 months postoperatively) scheduled to undergo robotic assisted laparoscopic radical prostatectomy or transurethral resection of prostate, respectively. The patients provided urine sample preoperatively and those with benign prostatic hyperplasia also provided samples 3 months postoperatively to be used as a pooled control sample population. A discrimination classifier was identified for eNose and subsequently, sensitivity and specificity values were determined. Leave-one-out cross-validation was performed. RESULTS Using leave-one-out cross-validation the eNose reached a sensitivity of 78%, a specificity of 67% and AUC 0.77. CONCLUSIONS The electronic nose is capable of rapidly and noninvasively discriminating prostate cancer and benign prostatic hyperplasia using urine headspace in patients undergoing surgery.
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Affiliation(s)
- Antti Roine
- School of Medicine, University of Tampere, Tampere, Finland.
| | - Erik Veskimäe
- Department of Surgery, School of Medicine, University of Tampere and Department of Urology, Tampere University Hospital, Tampere, Finland
| | - Antti Tuokko
- School of Medicine, University of Tampere, Tampere, Finland
| | - Pekka Kumpulainen
- Department of Automation Science and Engineering, Tampere University of Technology, Tampere, Finland
| | - Juha Koskimäki
- Department of Surgery, School of Medicine, University of Tampere and Department of Urology, Tampere University Hospital, Tampere, Finland
| | - Tuomo A Keinänen
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
| | - Merja R Häkkinen
- School of Pharmacy, Biocenter Kuopio, University of Eastern Finland, Kuopio, Finland
| | - Jouko Vepsäläinen
- School of Pharmacy, Biocenter Kuopio, University of Eastern Finland, Kuopio, Finland
| | - Timo Paavonen
- Department of Pathology, School of Medicine, University of Tampere and Fimlab Laboratories, Tampere University Hospital, Tampere, Finland
| | - Jukka Lekkala
- Department of Automation Science and Engineering, Tampere University of Technology, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and University of Tampere, School of Medicine, Tampere, Finland
| | - Teuvo L Tammela
- Department of Surgery, School of Medicine, University of Tampere and Department of Urology, Tampere University Hospital, Tampere, Finland
| | - Niku K J Oksala
- Department of Surgery, School of Medicine, University of Tampere and Department of Vascular Surgery, Tampere University Hospital, Tampere, Finland
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