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Tayari N, Wright AJ, Heerschap A. Absolute choline tissue concentration mapping for prostate cancer localization and characterization using 3D 1 H MRSI without water-signal suppression. Magn Reson Med 2022; 87:561-573. [PMID: 34554604 PMCID: PMC9290642 DOI: 10.1002/mrm.29012] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 08/06/2021] [Accepted: 08/30/2021] [Indexed: 01/10/2023]
Abstract
PURPOSE Until now, 1 H MRSI of the prostate has been performed with suppression of the large water signal to avoid distortions of metabolite signals. However, this signal can be used for absolute quantification and spectral corrections. We investigated the feasibility of water-unsuppressed MRSI in patients with prostate cancer for water signal-mediated spectral quality improvement and determination of absolute tissue levels of choline. METHODS Eight prostate cancer patients scheduled for radical prostatectomy underwent multi-parametric MRI at 3 T, including 3D water-unsuppressed semi-LASER MRSI. A postprocessing algorithm was developed to remove the water signal and its artifacts and use the extracted water signal as intravoxel reference for phase and frequency correction of metabolite signals and for absolute metabolite quantification. RESULTS Water-unsuppressed MRSI with dedicated postprocessing produced water signal and artifact-free MR spectra throughout the prostate. In all patients, the absolute choline tissue concentration was significantly higher in tumorous than in benign tissue areas (mean ± SD: 7.2 ± 1.4 vs 3.8 ± 0.7 mM), facilitating tumor localization by choline mapping. Tumor tissue levels of choline correlated better with the commonly used (choline + spermine + creatine)/citrate ratio (r = 0.78 ± 0.1) than that of citrate (r = 0.21 ± 0.06). The highest maximum choline concentrations occurred in high-risk cancer foci. CONCLUSION This report presents the first successful water-unsuppressed MRSI of the whole prostate. The water signal enabled amelioration of spectral quality and absolute metabolite quantification. In this way, choline tissue levels were identified as tumor biomarker. Choline mapping may serve as a tool in prostate cancer localization and risk scoring in multi-parametric MRI for diagnosis and biopsy procedures.
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Affiliation(s)
- Nassim Tayari
- Department of Medical Imaging (Radiology)Radboud University Medical CenterNijmegenThe Netherlands
| | - Alan J. Wright
- Department of Medical Imaging (Radiology)Radboud University Medical CenterNijmegenThe Netherlands
- Cancer Research UK Cambridge InstituteUniversity of CambridgeCambridgeUnited Kingdom
| | - Arend Heerschap
- Department of Medical Imaging (Radiology)Radboud University Medical CenterNijmegenThe Netherlands
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Jagannathan N, Reddy RR. Potential of nuclear magnetic resonance metabolomics in the study of prostate cancer. Indian J Urol 2022; 38:99-109. [PMID: 35400867 PMCID: PMC8992727 DOI: 10.4103/iju.iju_416_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 12/16/2021] [Accepted: 02/09/2022] [Indexed: 12/24/2022] Open
Abstract
Nuclear magnetic resonance (NMR) metabolomics is a powerful analytical technique and a tool which has unique characteristics and capabilities for the evaluation of a number of biochemicals/metabolites of cancer and other disease processes that are present in biofluids (urine and blood) and tissues. The potential of NMR metabolomics in prostate cancer (PCa) has been explored by researchers and its usefulness has been documented. A large number of metabolites such as citrate, choline, and sarcosine were detected by NMR metabolomics from biofluids and tissues related to PCa and their levels were compared with controls and benign prostatic hyperplasia. The changes in the levels of these metabolites aid in the diagnosis and help to understand the dysregulated metabolic pathways in PCa. We review recent studies on in vitro and ex vivo NMR spectroscopy-based PCa metabolomics and its possible role as a diagnostic tool.
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Sharma U, Jagannathan NR. Metabolism of prostate cancer by magnetic resonance spectroscopy (MRS). Biophys Rev 2020; 12:1163-1173. [PMID: 32918707 DOI: 10.1007/s12551-020-00758-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 09/04/2020] [Indexed: 12/11/2022] Open
Abstract
Understanding the metabolism of prostate cancer (PCa) is important for developing better diagnostic approaches and also for exploring new therapeutic targets. Magnetic resonance spectroscopy (MRS) techniques have been shown to be useful in the detection and quantification of metabolites. PCa illustrates metabolic phenotype, showing lower levels of citrate (Cit), a key metabolite of oxidative phosphorylation and alteration in several metabolic pathways to sustain tumor growth. Recently, dynamic nuclear polarization (DNP) studies have documented high rates of glycolysis (Warburg phenomenon) in PCa. High-throughput metabolic profiling strategies using MRS on variety of samples including intact tissues, biofluids like prostatic fluid, seminal fluid, blood plasma/sera, and urine have also played a vital role in understanding the abnormal metabolic activity of PCa patients. The enhanced analytical potential of these techniques in the detection and quantification of a large number of metabolites provides an in-depth understanding of metabolic rewiring associated with the tumorigenesis. Metabolomics analysis offers dual advantages of identification of diagnostic and predictive biomarkers as well as in understanding the altered metabolic pathways which can be targeted for inhibiting the cancer progression. This review briefly describes the potential applications of in vivo 1H MRS, high-resolution magic angle spinning spectroscopy (HRMAS) and in vitro MRS methods in understanding the metabolic changes of PCa and its usefulness in the management of PCa patients.
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Affiliation(s)
- Uma Sharma
- Department of NMR & MRI Facility, All India Institute of Medical Sciences, New Delhi, 110029, India.
| | - Naranamangalam R Jagannathan
- Department of Radiology, Chettinad Hospital & Research Institute, Chettinad Academy of Research & Education, Kelambakkam, TN, 603103, India.
- Department of Radiology, Sri Ramachandra Institute of Higher Education and Research, Chennai, 600116, India.
- Department of Electrical Engineering, Indian Institute Technology Madras, Chennai, 600 036, India.
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González-Sánchez M, Cuesta-Vargas AI, Del Mar Rodríguez González M, Caro ED, Núñez GO, Galán-Mercant A, Belmonte JJB. Effectiveness of a muticomponent workout program integrated in an evidence based multimodal program in hyperfrail elderly patients: POWERAGING randomized clinical trial protocol. BMC Geriatr 2019; 19:171. [PMID: 31226936 PMCID: PMC6588921 DOI: 10.1186/s12877-019-1188-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2017] [Accepted: 06/12/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Short-term and mid-term comparison of the efficacy of a multimodal program that incorporates a therapeutic workout program, medication review, diet adjustment and health education, in comparison to the standard medical practice in the improvement of the neuromuscular and physiological condition. Furthermore, it is intended to analyse the maintenance of these effects in a long-term follow-up (12 months) from the onset of the intervention. METHODS A randomized clinical trial of elderly frail patients drawn from the Clinical Management Unit "Tiro de Pichón", Health District of Malaga, will be included in the study (after meeting the inclusion / exclusion criteria) will be randomized in two groups: a control group that will undergo an intervention consistent of medication review + diet adjustment + health education (regular workout recommendations within a complete advice on healthy lifestyles) and an experimental group whose intervention will consist of a multimodal treatment: therapeutic workout program+ medication review+ diet adjustment + health education. The sociodemographic, clinical and tracing variables will be reflected at the beginning of the study. In addition, the follow-up variables will be gathered at the second and sixth months after the beginning of the treatment and at the third and sixth months after the treatment (follow-up). The follow-up variables that will be measured are: body mass index, general health condition, fatigue, frailty, motor control, attention- concentration- memory, motor memory, spatial orientation, grip strength, balance (static, semi-dynamic), gait speed and metabolomics. A descriptive analysis of the sociodemographic variables of the participants will be conducted. One-Factor ANOVA will be used for the Within-Subject analysis and as for the Between-Subject analysis, the outcome variables between both the groups in each moment of the data collection will be compared. DISCUSSION A multimodal program that incorporates a therapeutic workout program, medication review, diet adjustment and health education may be effective treatment to reduce the functional decline in elderly. The results of the study will provide information on the possible strengths and benefits in multimodal program in elderly. TRIAL REGISTRATION ClinicalTrials.gov NCT02772952 registered May 2017.
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Affiliation(s)
- Manuel González-Sánchez
- Department of Physiotherapy, Faculty of Health Sciences, Instituto de Investigación de Biomedicina de Malaga (IBIMA), Universidad de Malaga, Málaga, Spain
| | - Antonio Ignacio Cuesta-Vargas
- Department of Physiotherapy, Faculty of Health Sciences, Instituto de Investigación de Biomedicina de Malaga (IBIMA), Universidad de Malaga, Málaga, Spain.
- School of Clinical Science, Faculty of Health, Queensland University of Technology, QLD, Kelvin Grove, Australia.
| | - María Del Mar Rodríguez González
- Servicio Andaluz de Salud, Distrito Sanitario Málaga. CS. Tiro Pichón, Instituto de Investigación de Biomedicina de Malaga (IBIMA), Malaga, Spain
| | - Elvira Díaz Caro
- Servicio Andaluz de Salud, Distrito Sanitario Málaga. CS. Tiro Pichón, Instituto de Investigación de Biomedicina de Malaga (IBIMA), Malaga, Spain
| | - Germán Ortega Núñez
- Department of Physiotherapy, Faculty of Health Sciences, Instituto de Investigación de Biomedicina de Malaga (IBIMA), Universidad de Malaga, Málaga, Spain
- Servicio Andaluz de Salud, Distrito Sanitario Málaga. CS. Tiro Pichón, Instituto de Investigación de Biomedicina de Malaga (IBIMA), Malaga, Spain
- Department of Health Sciences, University of Jaen, Jaen, Spain
| | - Alejandro Galán-Mercant
- MOVE-IT Research group and Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy University of Cádiz, Cádiz, Spain
- Biomedical Research and Innovation Institute of Cádiz (INiBICA) Research Unit, Puerta del Mar University Hospital University of Cádiz, Cádiz, Spain
| | - Juan José Bedoya Belmonte
- Servicio Andaluz de Salud, Distrito Sanitario Málaga. CS. Tiro Pichón, Instituto de Investigación de Biomedicina de Malaga (IBIMA), Malaga, Spain
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Ma XZ, Lv K, Sheng JL, Yu YX, Pang PP, Xu MS, Wang SW. Application evaluation of DCE-MRI combined with quantitative analysis of DWI for the diagnosis of prostate cancer. Oncol Lett 2019; 17:3077-3084. [PMID: 30867737 PMCID: PMC6396180 DOI: 10.3892/ol.2019.9988] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2018] [Accepted: 11/29/2018] [Indexed: 11/07/2022] Open
Abstract
The present study aimed to investigate the value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) combined with quantitative analysis of diffusion weighted imaging (DWI) for the diagnosis of prostate cancer (PCa). A total of 81 patients with prostatic diseases, including PCa (n=44) and benign prostatic hyperplasia (BPH, n=37), were imaged with T1 weighted imaging (T1WI), T2 weighted imaging (T2WI), DWI and DCE-MRI. The blood vessel permeability parameters volume transfer rate constant (Ktrans), back flow rate constant (Kep), extravascular extracellular space volume fraction (Ve), plasma volume fraction (Vp) and apparent diffusion coefficient (ADC) were measured, and compared between the two groups. The efficiency of these tools for the diagnosis of PCa was analyzed by receiver operating characteristic curve analysis. The efficiency of ADC combined with blood vessel permeability parameters in the diagnosis of PCa was analyzed by logistic regression. The correlation between these parameters and the Gleason score was evaluated by Spearman correlation analysis in the PCa group. The results demonstrated that, compared with the BPH group, Ktrans, Kep, Ve and Vp were higher, and ADC was lower in the PCa group (P<0.05). The combination of Kep and ADC offered the highest diagnosis efficiency [area under the curve (AUC=0.939)]. However, the combination of three parameters did not significantly improve the diagnostic efficiency. A subtle improvement in diagnostic efficiency was observed when four parameters (Ktrans + Kep + Ve + ADC) were combined (AUC=0.940), which was significantly higher than with one parameter. The ADC value of the PCa group was negatively correlated with the primary Gleason pattern, secondary Gleason pattern and the total Gleason score in PCa (r=−0.665, −0.456 and −0.714, respectively; P<0.001). The Vp in the PCa group was slightly negatively correlated with the primary Gleason pattern of PCa (r=−0.385; P<0.05); however, no significant correlation was found with secondary Gleason pattern and the total Gleason score. The present study revealed that the combination of DCE-MRI quantitative analysis and DWI was efficient for PCa diagnosis. This may be because DCE-MRI and DWI can noninvasively detect water motility in tumor tissues and alterations in permeability during tumor neovascularization. The present study demonstrated that Kep and ADC values may be used as predictive parameters for PCa diagnosis, which may help differentiate benign from malignant prostate lesions.
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Affiliation(s)
- Xiang-Zheng Ma
- Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Kun Lv
- The First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Jian-Liang Sheng
- Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Ying-Xing Yu
- Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Pei-Pei Pang
- Department of Life Sciences, GE Healthcare, Shanghai 201203, P.R. China
| | - Mao-Sheng Xu
- Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
| | - Shi-Wei Wang
- Department of Radiology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310006, P.R. China
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Downes DP, Collins JHP, Lama B, Zeng H, Nguyen T, Keller G, Febo M, Long JR. Characterization of Brain Metabolism by Nuclear Magnetic Resonance. Chemphyschem 2019; 20:216-230. [PMID: 30536696 PMCID: PMC6501841 DOI: 10.1002/cphc.201800917] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 11/26/2018] [Indexed: 12/15/2022]
Abstract
The noninvasive, quantitative ability of nuclear magnetic resonance (NMR) spectroscopy to characterize small molecule metabolites has long been recognized as a major strength of its application in biology. Numerous techniques exist for characterizing metabolism in living, excised, or extracted tissue, with a particular focus on 1 H-based methods due to the high sensitivity and natural abundance of protons. With the increasing use of high magnetic fields, the utility of in vivo 1 H magnetic resonance spectroscopy (MRS) has markedly improved for measuring specific metabolite concentrations in biological tissues. Higher fields, coupled with recent developments in hyperpolarization, also enable techniques for complimenting 1 H measurements with spectroscopy of other nuclei, such as 31 P and 13 C, and for combining measurements of metabolite pools with metabolic flux measurements. We compare ex vivo and in vivo methods for studying metabolism in the brain using NMR and highlight insights gained through using higher magnetic fields, the advent of dissolution dynamic nuclear polarization, and combining in vivo MRS and ex vivo NMR approaches.
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Affiliation(s)
- Daniel P Downes
- Department of Biochemistry and Molecular Biology and McKnight Brain Institute, University of Florida, Box 100245, Gainesville, FL, 32610-0245, United States
| | - James H P Collins
- National High Magnetic Field Laboratory and Biology and McKnight Brain Institute, University of Florida, Box 100015, Gainesville, FL, 32610-0015, United States
| | - Bimala Lama
- Department of Chemistry and Biochemistry, University of Colorado Boulder, 215 UCB, Boulder, CO, 80309-0215, United States
| | - Huadong Zeng
- National High Magnetic Field Laboratory and Biology and McKnight Brain Institute, University of Florida, Box 100015, Gainesville, FL, 32610-0015, United States
| | - Tan Nguyen
- Department of Biochemistry and Molecular Biology and McKnight Brain Institute, University of Florida, Box 100245, Gainesville, FL, 32610-0245, United States
| | - Gabrielle Keller
- Department of Biochemistry and Molecular Biology and McKnight Brain Institute, University of Florida, Box 100245, Gainesville, FL, 32610-0245, United States
| | - Marcelo Febo
- Department of Psychiatry, University of Florida, Box 100256, Gainesville, FL, 32610-0256, United States
| | - Joanna R Long
- Department of Biochemistry and Molecular Biology and McKnight Brain Institute, University of Florida, Box 100245, Gainesville, FL, 32610-0245, United States
- National High Magnetic Field Laboratory and Biology and McKnight Brain Institute, University of Florida, Box 100015, Gainesville, FL, 32610-0015, United States
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Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours. Sci Rep 2018; 8:11992. [PMID: 30097636 PMCID: PMC6086878 DOI: 10.1038/s41598-018-30342-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 07/10/2018] [Indexed: 01/05/2023] Open
Abstract
Paediatric brain tumors are becoming well characterized due to large genomic and epigenomic studies. Metabolomics is a powerful analytical approach aiding in the characterization of tumors. This study shows that common cerebellar tumors have metabolite profiles sufficiently different to build accurate, robust diagnostic classifiers, and that the metabolite profiles can be used to assess differences in metabolism between the tumors. Tissue metabolite profiles were obtained from cerebellar ependymoma (n = 18), medulloblastoma (n = 36), pilocytic astrocytoma (n = 24) and atypical teratoid/rhabdoid tumors (n = 5) samples using HR-MAS. Quantified metabolites accurately discriminated the tumors; classification accuracies were 94% for ependymoma and medulloblastoma and 92% for pilocytic astrocytoma. Using current intraoperative examination the diagnostic accuracy was 72% for ependymoma, 90% for medulloblastoma and 89% for pilocytic astrocytoma. Elevated myo-inositol was characteristic of ependymoma whilst high taurine, phosphocholine and glycine distinguished medulloblastoma. Glutamine, hypotaurine and N-acetylaspartate (NAA) were increased in pilocytic astrocytoma. High lipids, phosphocholine and glutathione were important for separating ATRTs from medulloblastomas. This study demonstrates the ability of metabolic profiling by HR-MAS on small biopsy tissue samples to characterize these tumors. Analysis of tissue metabolite profiles has advantages in terms of minimal tissue pre-processing, short data acquisition time giving the potential to be used as part of a rapid diagnostic work-up.
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Lima AR, Pinto J, Bastos MDL, Carvalho M, Guedes de Pinho P. NMR-based metabolomics studies of human prostate cancer tissue. Metabolomics 2018; 14:88. [PMID: 30830350 DOI: 10.1007/s11306-018-1384-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Accepted: 06/11/2018] [Indexed: 12/15/2022]
Abstract
INTRODUCTION Prostate cancer (PCa) is one of the most prevalent cancers in men worldwide. Serum prostate-specific antigen (PSA) remains the most used biomarker in the detection and management of patients with PCa, in spite of the problems related with its low specificity, false positive rate and overdiagnosis. Furthermore, PSA is unable to discriminate indolent from aggressive PCa, which can lead to overtreatment. Early diagnosed and treated PCa can have a good prognosis and is potentially curable. Therefore, the discovery of new biomarkers able to detect clinically significant aggressive PCa is urgently needed. METHODS This revision was based on an electronic literature search, using Pubmed, with Nuclear Magnetic Resonance (NMR), tissue and prostate cancer as keywords. All metabolomic studies performed in PCa tissues by NMR spectroscopy, from 2007 until March 2018, were included in this review. RESULTS In the context of cancer, metabolomics allows the analysis of the entire metabolic profile of cancer cells. Several metabolic alterations occur in cancer cells to sustain their abnormal rates of proliferation. NMR proved to be a suitable methodology for the evaluation of these metabolic alterations in PCa tissues, allowing to unveil alterations in citrate, spermine, choline, choline-related compounds, lactate, alanine and glutamate. CONCLUSION The study of the metabolic alterations associated with PCa progression, accomplished by the analysis of PCa tissue by NMR, offers a promising approach for elucidating biochemical pathways affected by PCa and also for discovering new clinical biomarkers. The main metabolomic alterations associated with PCa development and promising biomarker metabolites for diagnosis of PCa were outlined.
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Affiliation(s)
- Ana Rita Lima
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal.
| | - Joana Pinto
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal
| | - Maria de Lourdes Bastos
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal
| | - Márcia Carvalho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal
- UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa, Porto, Portugal
| | - Paula Guedes de Pinho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313, Porto, Portugal.
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GC-MS-Based Endometabolome Analysis Differentiates Prostate Cancer from Normal Prostate Cells. Metabolites 2018; 8:metabo8010023. [PMID: 29562689 PMCID: PMC5876012 DOI: 10.3390/metabo8010023] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Revised: 03/12/2018] [Accepted: 03/16/2018] [Indexed: 12/14/2022] Open
Abstract
Prostate cancer (PCa) is an important health problem worldwide. Diagnosis and management of PCa is very complex because the detection of serum prostate specific antigen (PSA) has several drawbacks. Metabolomics brings promise for cancer biomarker discovery and for better understanding PCa biochemistry. In this study, a gas chromatography–mass spectrometry (GC-MS) based metabolomic profiling of PCa cell lines was performed. The cell lines include 22RV1 and LNCaP from PCa with androgen receptor (AR) expression, DU145 and PC3 (which lack AR expression), and one normal prostate cell line (PNT2). Regarding the metastatic potential, PC3 is from an adenocarcinoma grade IV with high metastatic potential, DU145 has a moderate metastatic potential, and LNCaP has a low metastatic potential. Using multivariate analysis, alterations in levels of several intracellular metabolites were detected, disclosing the capability of the endometabolome to discriminate all PCa cell lines from the normal prostate cell line. Discriminant metabolites included amino acids, fatty acids, steroids, and sugars. Six stood out for the separation of all the studied PCa cell lines from the normal prostate cell line: ethanolamine, lactic acid, β-Alanine, L-valine, L-leucine, and L-tyrosine.
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Wong A, Lucas-Torres C. High-resolution Magic-angle Spinning (HR-MAS) NMR Spectroscopy. NMR-BASED METABOLOMICS 2018. [DOI: 10.1039/9781782627937-00133] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Since the beginning of high-resolution magic-angle spinning (HR-MAS) NMR spectroscopy in 1990s, we have witnessed tremendous instrumentation and methodological advancements in the HR-MAS NMR technique for semisolids. With HR-MAS, it is now possible to acquire reliable high-quality spectra in a routine and high-throughput fashion, and it has become a well-integrated metabolic screening tool for ex vivo biospecimens such as tissue biopsies, cells and organisms for NMR-based metabolomics research. This chapter provides the basic principles of HR-MAS and describes a few recent noteworthy developments that could strengthen the role of HR-MAS as a frontline NMR technique for metabolomics.
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Affiliation(s)
- Alan Wong
- NIMBE, CEA, CNRS, Université Paris-Saclay, CEA Saclay 91191 Gif-sur-Yvette France
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11
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Dezortova M, Jiru F, Skoch A, Capek V, Ryznarova Z, Vik V, Hajek M. The aging effect on prostate metabolite concentrations measured by 1H MR spectroscopy. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2016; 30:65-74. [PMID: 27522359 DOI: 10.1007/s10334-016-0584-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Revised: 07/29/2016] [Accepted: 08/02/2016] [Indexed: 12/15/2022]
Abstract
OBJECTIVE The effects of aging, magnetic field and the voxel localization on measured concentrations of citrate (Cit), creatine (Cr), cholines (Cho) and polyamines (PA) in a healthy prostate were evaluated. MATERIALS AND METHODS 36 examinations at both 1.5T and 3T imagers of 52 healthy subjects aged 19-71 years were performed with PRESS 3D-CSI sequences (TE = 120 and 145 ms). Concentrations in laboratory units and their ratios to citrate were calculated using the LCModel technique. Absolute concentrations were also obtained after the application of correction coefficients. Statistical analysis was performed using a robust linear mixed effects model. RESULTS Significant effects of aging, the magnetic field strength and the voxel position in central (CZ) or peripheral (PZ) zones on all measured metabolites were found. The concentrations (mmol/kg wet tissue) including prediction intervals in a range of 20-70 years were found: Cit: 7.9-17.2; Cho: 1.4-1.7; Cr: 2.8-2.5; PA (as spermine): 0.6-2.1 at 3T in CZ. In PZ, the concentrations were higher by about 10 % as compared to CZ. CONCLUSION Increasing citrate and spermine concentrations with age are significant and correlate well with a recently described increase of zinc in the prostate. These findings should be considered in decision-making if the values obtained from a subject are in the range of control values.
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Affiliation(s)
- Monika Dezortova
- MR-Unit, Department of Diagnostic and Interventional Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 14021, Prague 4, Czech Republic.
| | - Filip Jiru
- MR-Unit, Department of Diagnostic and Interventional Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 14021, Prague 4, Czech Republic
| | - Antonin Skoch
- MR-Unit, Department of Diagnostic and Interventional Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 14021, Prague 4, Czech Republic
| | - Vaclav Capek
- MR-Unit, Department of Diagnostic and Interventional Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 14021, Prague 4, Czech Republic
| | - Zuzana Ryznarova
- MR-Unit, Department of Diagnostic and Interventional Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 14021, Prague 4, Czech Republic
| | - Viktor Vik
- Department of Urology, Thomayer Hospital, Videnska 800, 14000, Prague 4, Czech Republic
| | - Milan Hajek
- MR-Unit, Department of Diagnostic and Interventional Medicine, Institute for Clinical and Experimental Medicine, Videnska 1958/9, 14021, Prague 4, Czech Republic
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Pascual L, Campos I, Vivancos JL, Quintás G, Loras A, Martínez-Bisbal MC, Martínez-Máñez R, Boronat F, Ruiz-Cerdà JL. Detection of prostate cancer using a voltammetric electronic tongue. Analyst 2016; 141:4562-7. [PMID: 27375181 DOI: 10.1039/c6an01044j] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
A simple method based on the multivariate analysis of data from urine using an electronic voltammetric tongue is used to detect patients with prostate cancer. A sensitivity of 91% and a specificity of 73% were obtained to distinguish the urine from cancer patients and the urine from non-cancer patients.
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Affiliation(s)
- Lluís Pascual
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Unidad Mixta Universitat Politècnica de València - Universitat de València, Spain.
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Frédérich M, Pirotte B, Fillet M, de Tullio P. Metabolomics as a Challenging Approach for Medicinal Chemistry and Personalized Medicine. J Med Chem 2016; 59:8649-8666. [PMID: 27295417 DOI: 10.1021/acs.jmedchem.5b01335] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
"Omics" sciences have been developed to provide a holistic point of view of biology and to better understand the complexity of an organism as a whole. These systems biology approaches can be examined at different levels, starting from the most fundamental, i.e., the genome, and finishing with the most functional, i.e., the metabolome. Similar to how genomics is applied to the exploration of DNA, metabolomics is the qualitative and quantitative study of metabolites. This emerging field is clearly linked to genomics, transcriptomics, and proteomics. In addition, metabolomics provides a unique and direct vision of the functional outcome of an organism's activities that are required for it to survive, grow, and respond to internal and external stimuli or stress, e.g., pathologies and drugs. The links between metabolic changes, patient phenotype, physiological and/or pathological status, and treatment are now well established and have opened a new area for the application of metabolomics in the drug discovery process and in personalized medicine.
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Affiliation(s)
- Michel Frédérich
- Laboratory of Pharmacognosy, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
| | - Bernard Pirotte
- Laboratory of Medicinal Chemistry, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
| | - Marianne Fillet
- Laboratory for the Analysis of Medicines, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
| | - Pascal de Tullio
- Laboratory of Medicinal Chemistry, Center for Interdisciplinary Research on Medicines (CIRM), University of Liege , Quartier Hôpital, Avenue Hippocrate 15, B-4000 Liege, Belgium
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Cuesta-Vargas AI, Carabantes F, Caracuel Z, Conejo I, Alba E. Effectiveness of an individualized program of muscular strength and endurance with aerobic training for improving germ cell cancer-related fatigue in men undergoing chemotherapy: EFICATEST study protocol for a randomized controlled trial. Trials 2016; 17:8. [PMID: 26732120 PMCID: PMC4702371 DOI: 10.1186/s13063-015-1143-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2015] [Accepted: 12/22/2015] [Indexed: 12/31/2022] Open
Abstract
Background Patients with testicular germ cell cancer (GCC) have a high cure rate; however, cancer-related fatigue is the most common complication among patients with GCC undergoing treatment with chemotherapy. Although exercise is widely recommended, information about the physio-pathological effects of cancer therapy on skeletal muscle is very limited. Our aim is to evaluate the effects of an individualized program of muscular strength and endurance with aerobic training on cancer-related fatigue. Methods/Design The present study is a randomized controlled trial comparing an individualized program of muscular strength and endurance with aerobic training compared to a control group. We will conduct this trial in patients undergoing chemotherapy, recruited by the Department of Oncology of Virgen de la Victoria Hospital (Málaga). Patients will be included and evaluated before the first cycle of chemotherapy and assigned randomly to the experimental or control group. Cancer-related fatigue, physical condition and biological samples will be measured at the beginning and at the end of an 8-week intervention by the same evaluator, who will be unaware of the allocation of participants to each group. Furthermore, there will be monitoring for 6 months (24 weeks) after training for all outcome variables. Discussion This study hopes to offer patients with GCC an individualized exercise program with aerobic training for cancer-related fatigue. Such a scheme, if beneficial, could be implemented successfully within public health. Trial registration ClinicalTrials.gov Identifier: NCT02433197. Date of registration: 13 April 2015.
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Affiliation(s)
- Antonio Ignacio Cuesta-Vargas
- Department of Physiotherapy, Faculty of Health Sciences, Instituto de Investigacion de Biomedicina de Malaga (IBIMA), Universidad de Malaga, Málaga, Spain. .,School of Clinical Science, Faculty of Health, Queensland University of Technology, Kelvin Grove, QLD, Australia.
| | - Francisco Carabantes
- Department of Medical Oncology, Carlos Haya Regional University Hospital, Málaga, Spain.
| | - Zaira Caracuel
- Department of Cellular Biology, Genetics and Physiology, Faculty of Sciences, Universidad de Malaga, Málaga, Spain.
| | - Inmaculada Conejo
- Department of Physiotherapy, Faculty of Health Sciences, Instituto de Investigacion de Biomedicina de Malaga (IBIMA), Universidad de Malaga, Málaga, Spain.
| | - Emilio Alba
- Department of Medical Oncology, Carlos Haya Regional University Hospital, Málaga, Spain.
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Abstract
This paper reviews the use of NMR metabolomics for the metabolic characterization of renal cancer. The existing challenges in the clinical management of this disease are first presented, followed by a brief introduction to the metabolomics approach, in the context of cancer research. A subsequent review of the literature on NMR metabolic studies of renal cancer reveals that the subject has been clearly underdeveloped, compared with other types of cancer, particularly regarding cultured cells and tissue analysis. NMR analysis of biofluids has focused on blood (plasma or serum) metabolomics, comprising no account of studies on human urine, in spite of its noninvasiveness and physiological proximity to the affected organs. Finally, some areas of potential future development are identified.
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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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Thapar R, Titus MA. Recent Advances in Metabolic Profiling And Imaging of Prostate Cancer. ACTA ACUST UNITED AC 2014; 2:53-69. [PMID: 25632377 DOI: 10.2174/2213235x02666140301002510] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
Cancer is a metabolic disease. Cancer cells, being highly proliferative, show significant alterations in metabolic pathways such as glycolysis, respiration, the tricarboxylic acid (TCA) cycle, oxidative phosphorylation, lipid metabolism, and amino acid metabolism. Metabolites like peptides, nucleotides, products of glycolysis, the TCA cycle, fatty acids, and steroids can be an important read out of disease when characterized in biological samples such as tissues and body fluids like urine, serum, etc. The cancer metabolome has been studied since the 1960s by analytical techniques such as mass spectrometry (MS) and nuclear magnetic resonance (NMR) spectroscopy. Current research is focused on the identification and validation of biomarkers in the cancer metabolome that can stratify high-risk patients and distinguish between benign and advanced metastatic forms of the disease. In this review, we discuss the current state of prostate cancer metabolomics, the biomarkers that show promise in distinguishing indolent from aggressive forms of the disease, the strengths and limitations of the analytical techniques being employed, and future applications of metabolomics in diagnostic imaging and personalized medicine of prostate cancer.
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Affiliation(s)
- Roopa Thapar
- Department of Biochemistry and Cell Biology, Rice University, Houston, TX 77251-1892, USA
| | - Mark A Titus
- Department of Genitourinary Medical Oncology, The University of Texas M.D. Anderson Cancer Center, Houston TX 77030, USA
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Bezabeh T, Ijare OB, Nikulin AE, Somorjai RL, Smith IC. MRS-based Metabolomics in Cancer Research. MAGNETIC RESONANCE INSIGHTS 2014; 7:1-14. [PMID: 25114549 PMCID: PMC4122556 DOI: 10.4137/mri.s13755] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/03/2013] [Revised: 12/30/2013] [Accepted: 12/30/2013] [Indexed: 12/18/2022]
Abstract
Metabolomics is a relatively new technique that is gaining importance very rapidly. MRS-based metabolomics, in particular, is becoming a useful tool in the study of body fluids, tissue biopsies and whole organisms. Advances in analytical techniques and data analysis methods have opened a new opportunity for such technology to contribute in the field of diagnostics. In the MRS approach to the diagnosis of disease, it is important that the analysis utilizes all the essential information in the spectra, is robust, and is non-subjective. Although some of the data analytic methods widely used in chemical and biological sciences are sketched, a more extensive discussion is given of a 5-stage Statistical Classification Strategy. This proposes powerful feature selection methods, based on, for example, genetic algorithms and novel projection techniques. The applications of MRS-based metabolomics in breast cancer, prostate cancer, colorectal cancer, pancreatic cancer, hepatobiliary cancers, gastric cancer, and brain cancer have been reviewed. While the majority of these applications relate to body fluids and tissue biopsies, some in vivo applications have also been included. It should be emphasized that the number of subjects studied must be sufficiently large to ensure a robust diagnostic classification. Before MRS-based metabolomics can become a widely used clinical tool, however, certain challenges need to be overcome. These include manufacturing user-friendly commercial instruments with all the essential features, and educating physicians and medical technologists in the acquisition, analysis, and interpretation of metabolomics data.
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Affiliation(s)
- Tedros Bezabeh
- Department of Chemistry, University of Winnipeg, Winnipeg, Manitoba, Canada. ; Human Nutritional Sciences, University of Manitoba, Winnipeg, Manitoba, Canada. ; Innovative Biodiagnostics Inc, Winnipeg, Manitoba, Canada
| | - Omkar B Ijare
- Department of Chemistry, University of Winnipeg, Winnipeg, Manitoba, Canada. ; Innovative Biodiagnostics Inc, Winnipeg, Manitoba, Canada
| | | | | | - Ian Cp Smith
- Department of Chemistry, University of Winnipeg, Winnipeg, Manitoba, Canada. ; Departments of Anatomy and Human Cell Science, University of Manitoba, Winnipeg, Manitoba, Canada. ; Innovative Biodiagnostics Inc, Winnipeg, Manitoba, Canada
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