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Fei X, Du X, Wang J, Liu J, Gong Y, Zhao Z, Cao Z, Fu Q, Zhu Y, Dong L, Dong B, Pan J, Sun W, Xie S, Xue W. Precise diagnosis and risk stratification of prostate cancer by comprehensive serum metabolic fingerprints: a prediction model study. Int J Surg 2024; 110:1450-1462. [PMID: 38181121 PMCID: PMC10942223 DOI: 10.1097/js9.0000000000001033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 12/11/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVES Prostate cancer (PCa) is one of the most common malignancies in men worldwide and has caused increasing clinical morbidity and mortality, making timely diagnosis and accurate staging crucial. The authors introduced a novel approach based on mass spectrometry for precise diagnosis and stratification of PCa to facilitate clinical decision-making. METHODS Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry analysis of trace blood samples was combined with machine learning algorithms to construct diagnostic and stratification models. A total of 367 subjects, comprising 181 with PCa and 186 with non-PCa were enrolled. Additional 60 subjects, comprising 30 with PCa and 30 with non-PCa were enrolled as an external cohort for validation. Subsequent metabolomic analysis was carried out using Autoflex MALDI-TOF, and the mass spectra were introduced into various algorithms to construct different models. RESULTS Serum metabolic fingerprints were successfully obtained from 181 patients with PCa and 186 patients with non-PCa. The diagnostic model based on the eight signals demonstrated a remarkable area under curve of 100% and was validated in the external cohort with the area under curve of 87.3%. Fifteen signals were selected for enrichment analysis, revealing the potential metabolic pathways that facilitate tumorigenesis. Furthermore, the stage prediction model with an overall accuracy of 85.9% precisely classified subjects with localized disease and those with metastasis. The risk stratification model, with an overall accuracy of 89.6%, precisely classified the subjects as low-risk and high-risk. CONCLUSIONS Our study facilitated the timely diagnosis and risk stratification of PCa and provided new insights into the underlying mechanisms of metabolic alterations in PCa.
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Affiliation(s)
| | | | | | | | | | - Zejun Zhao
- Department of Ultrasound, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine
| | - Zhibin Cao
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong, People’s Republic of China
| | - Qibo Fu
- Medical Science and Technology Innovation Center, Shandong First Medical University and Shandong Academy of Medical Sciences, Shandong, People’s Republic of China
| | | | | | | | | | - Wenshe Sun
- Department of Urology, Jiading District Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai
| | - Shaowei Xie
- Department of Ultrasound, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine
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Ossoliński K, Ruman T, Copié V, Tripet BP, Kołodziej A, Płaza-Altamer A, Ossolińska A, Ossoliński T, Krupa Z, Nizioł J. Metabolomic profiling of human bladder tissue extracts. Metabolomics 2024; 20:14. [PMID: 38267657 DOI: 10.1007/s11306-023-02076-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 12/01/2023] [Indexed: 01/26/2024]
Abstract
INTRODUCTION Bladder cancer is a common malignancy affecting the urinary tract and effective biomarkers and for which monitoring therapeutic interventions have yet to be identified. OBJECTIVES Major aim of this work was to perform metabolomic profiling of human bladder cancer and adjacent normal tissue and to evaluate cancer biomarkers. METHODS This study utilized nuclear magnetic resonance (NMR) and high-resolution nanoparticle-based laser desorption/ionization mass spectrometry (LDI-MS) methods to investigate polar metabolite profiles in tissue samples from 99 bladder cancer patients. RESULTS Through NMR spectroscopy, six tissue metabolites were identified and quantified as potential indicators of bladder cancer, while LDI-MS allowed detection of 34 compounds which distinguished cancer tissue samples from adjacent normal tissue. Thirteen characteristic tissue metabolites were also found to differentiate bladder cancer tumor grades and thirteen metabolites were correlated with tumor stages. Receiver-operating characteristics analysis showed high predictive power for all three types of metabolomics data, with area under the curve (AUC) values greater than 0.853. CONCLUSION To date, this is the first study in which bladder human normal tissues adjacent to cancerous tissues are analyzed using both NMR and MS method. These findings suggest that the metabolite markers identified in this study may be useful for the detection and monitoring of bladder cancer stages and grades.
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Affiliation(s)
- Krzysztof Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100, Kolbuszowa, Poland
| | - Tomasz Ruman
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland
| | - Valérie Copié
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Brian P Tripet
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Artur Kołodziej
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland
| | - Aneta Płaza-Altamer
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland
| | - Anna Ossolińska
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100, Kolbuszowa, Poland
| | - Tadeusz Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100, Kolbuszowa, Poland
| | - Zuzanna Krupa
- Doctoral School of Engineering and Technical Sciences, Rzeszów University of Technology, 8 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland
| | - Joanna Nizioł
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland.
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Maroli AS, Powers R. Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics. NMR IN BIOMEDICINE 2023; 36:e4594. [PMID: 34369014 PMCID: PMC8821733 DOI: 10.1002/nbm.4594] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/21/2021] [Accepted: 07/09/2021] [Indexed: 05/08/2023]
Abstract
Metabolomics aims to achieve a global quantitation of the pool of metabolites within a biological system. Importantly, metabolite concentrations serve as a sensitive marker of both genomic and phenotypic changes in response to both internal and external stimuli. NMR spectroscopy greatly aids in the understanding of both in vitro and in vivo physiological systems and in the identification of diagnostic and therapeutic biomarkers. Accordingly, NMR is widely utilized in metabolomics and fluxomics studies due to its limited requirements for sample preparation and chromatography, its non-destructive and quantitative nature, its utility in the structural elucidation of unknown compounds, and, importantly, its versatility in the analysis of in vitro, in vivo, and ex vivo samples. This review provides an overview of the strengths and limitations of in vitro and in vivo experiments for translational research and discusses how ex vivo studies may overcome these weaknesses to facilitate the extrapolation of in vitro insights to an in vivo system. The application of NMR-based metabolomics to ex vivo samples, tissues, and biofluids can provide essential information that is close to a living system (in vivo) with sensitivity and resolution comparable to those of in vitro studies. The success of this extrapolation process is critically dependent on high-quality and reproducible data. Thus, the incorporation of robust quality assurance and quality control checks into the experimental design and execution of NMR-based metabolomics experiments will ensure the successful extrapolation of ex vivo studies to benefit translational medicine.
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Affiliation(s)
- Amith Sadananda Maroli
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Robert Powers
- Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
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di Meo NA, Lasorsa F, Rutigliano M, Loizzo D, Ferro M, Stella A, Bizzoca C, Vincenti L, Pandolfo SD, Autorino R, Crocetto F, Montanari E, Spilotros M, Battaglia M, Ditonno P, Lucarelli G. Renal Cell Carcinoma as a Metabolic Disease: An Update on Main Pathways, Potential Biomarkers, and Therapeutic Targets. Int J Mol Sci 2022; 23:ijms232214360. [PMID: 36430837 PMCID: PMC9698586 DOI: 10.3390/ijms232214360] [Citation(s) in RCA: 59] [Impact Index Per Article: 29.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 11/22/2022] Open
Abstract
Clear cell renal cell carcinoma (ccRCC) is the most frequent histological kidney cancer subtype. Over the last decade, significant progress has been made in identifying the genetic and metabolic alterations driving ccRCC development. In particular, an integrated approach using transcriptomics, metabolomics, and lipidomics has led to a better understanding of ccRCC as a metabolic disease. The metabolic profiling of this cancer could help define and predict its behavior in terms of aggressiveness, prognosis, and therapeutic responsiveness, and would be an innovative strategy for choosing the optimal therapy for a specific patient. This review article describes the current state-of-the-art in research on ccRCC metabolic pathways and potential therapeutic applications. In addition, the clinical implication of pharmacometabolomic intervention is analyzed, which represents a new field for novel stage-related and patient-tailored strategies according to the specific susceptibility to new classes of drugs.
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Affiliation(s)
- Nicola Antonio di Meo
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Francesco Lasorsa
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Monica Rutigliano
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Davide Loizzo
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Matteo Ferro
- Division of Urology, European Institute of Oncology, IRCCS, 20141 Milan, Italy
| | - Alessandro Stella
- Laboratory of Human Genetics, Department of Biomedical Sciences and Human Oncology, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Cinzia Bizzoca
- Division of General Surgery, Polyclinic Hospital, 70124 Bari, Italy
| | | | | | | | - Felice Crocetto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples “Federico II”, 80131 Naples, Italy
| | - Emanuele Montanari
- Department of Clinical Sciences and Community Health, University of Milan, 20122 Milan, Italy
| | - Marco Spilotros
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Michele Battaglia
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Pasquale Ditonno
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
| | - Giuseppe Lucarelli
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari “Aldo Moro”, 70124 Bari, Italy
- Correspondence: or
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Del Vecchio SJ, Urquhart AJ, Dong X, Ellis RJ, Ng KL, Samaratunga H, Gustafson S, Galloway GJ, Gobe GC, Wood S, Mountford CE. Two-dimensional correlated spectroscopy distinguishes clear cell renal cell carcinoma from other kidney neoplasms and non-cancer kidney. Transl Androl Urol 2022; 11:929-942. [PMID: 35958897 PMCID: PMC9360516 DOI: 10.21037/tau-21-1082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 05/03/2022] [Indexed: 12/24/2022] Open
Abstract
Background Routinely used clinical scanners, such as computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound (US), are unable to distinguish between aggressive and indolent tumor subtypes in masses localized to the kidney, often leading to surgical overtreatment. The results of the current investigation demonstrate that chemical differences, detected in human kidney biopsies using two-dimensional COrrelated SpectroscopY (2D L-COSY) and evaluated using multivariate statistical analysis, can distinguish these subtypes. Methods One hundred and twenty-six biopsy samples from patients with a confirmed enhancing kidney mass on abdominal imaging were analyzed as part of the training set. A further forty-three samples were used for model validation. In patients undergoing radical nephrectomy, biopsies of non-cancer kidney cortical tissue were also collected as a non-cancer control group. Spectroscopy data were analyzed using multivariate statistical analysis, including principal component analysis (PCA) and orthogonal projection to latent structures with discriminant analysis (OPLS-DA), to identify biomarkers in kidney cancer tissue that was also classified using the gold-standard of histopathology. Results The data analysis methodology showed good separation between clear cell renal cell carcinoma (ccRCC) versus non-clear cell RCC (non-ccRCC) and non-cancer cortical tissue from the kidneys of tumor-bearing patients. Variable Importance for the Projection (VIP) values, and OPLS-DA loadings plots were used to identify chemical species that correlated significantly with the histopathological classification. Model validation resulted in the correct classification of 37/43 biopsy samples, which included the correct classification of 15/17 ccRCC biopsies, achieving an overall predictive accuracy of 86%, Those chemical markers with a VIP value >1.2 were further analyzed using univariate statistical analysis. A subgroup analysis of 47 tumor tissues arising from T1 tumors revealed distinct separation between ccRCC and non-ccRCC tissues. Conclusions This study provides metabolic insights that could have future diagnostic and/or clinical value. The results of this work demonstrate a clear separation between clear cell and non-ccRCC and non-cancer kidney tissue from tumor-bearing patients. The clinical translation of these results will now require the development of a one-dimensional (1D) magnetic resonance spectroscopy (MRS) protocol, for the kidney, using an in vivo clinical MRI scanner.
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Affiliation(s)
- Sharon J Del Vecchio
- Kidney Disease Research Collaborative, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Australia
| | - Aaron J Urquhart
- Kidney Disease Research Collaborative, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Australia
| | - Xin Dong
- Department of Radiology, Princess Alexandra Hospital, Woolloongabba, Brisbane, Australia
| | - Robert J Ellis
- Kidney Disease Research Collaborative, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Australia
| | | | | | | | - Graham J Galloway
- Herston Imaging Research Facility, The University of Queensland, Brisbane, Australia
| | - Glenda C Gobe
- Kidney Disease Research Collaborative, Translational Research Institute, Princess Alexandra Hospital, The University of Queensland, Brisbane, Australia.,School of Biomedical Sciences, The University of Queensland, Brisbane, Australia
| | - Simon Wood
- Department of Urology, Princess Alexandra Hospital, Brisbane, Australia
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Diagnosis and prognosis of breast cancer by high-performance serum metabolic fingerprints. Proc Natl Acad Sci U S A 2022; 119:e2122245119. [PMID: 35302894 PMCID: PMC8944253 DOI: 10.1073/pnas.2122245119] [Citation(s) in RCA: 48] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Breast cancer (BrCa) is the most common cancer worldwide, and high-performance metabolic analysis is emerging in diagnosis and prognosis of BrCa. Here, we used nanoparticle-enhanced laser desorption/ionization mass spectrometry to record serum metabolic fingerprints of BrCa in seconds, achieving high reproducibility and low consumption of direct serum detection. Our analytical method, combined with the aid of machine learning algorithms, was demonstrated to provide high diagnostic efficiency with accuracy of 88.8% and desirable prognostic prediction (P < 0.005). Furthermore, seven metabolic biomarkers differentially enriched in BrCa serum and their related pathways were identified. Together, our findings provide a tool to characterize BrCa and highlight certain metabolic signatures as potential diagnostic and prognostic factors of diseases including but not limited to BrCa. High-performance metabolic analysis is emerging in the diagnosis and prognosis of breast cancer (BrCa). Still, advanced tools are in demand to deliver the application potentials of metabolic analysis. Here, we used fast nanoparticle-enhanced laser desorption/ionization mass spectrometry (NPELDI-MS) to record serum metabolic fingerprints (SMFs) of BrCa in seconds, achieving high reproducibility and low consumption of direct serum detection without treatment. Subsequently, machine learning of SMFs generated by NPELDI-MS functioned as an efficient readout to distinguish BrCa from non-BrCa with an area under the curve of 0.948. Furthermore, a metabolic prognosis scoring system was constructed using SMFs with effective prediction performance toward BrCa (P < 0.005). Finally, we identified a biomarker panel of seven metabolites that were differentially enriched in BrCa serum and their related pathways. Together, our findings provide an efficient serum metabolic tool to characterize BrCa and highlight certain metabolic signatures as potential diagnostic and prognostic factors of diseases including but not limited to BrCa.
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7
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Parihar R, Shukla R, Baishya B, Kalita J, Haldar R, Misra UK. NMR based CSF metabolomics in tuberculous meningitis: correlation with clinical and MRI findings. Metab Brain Dis 2022; 37:773-785. [PMID: 35029797 DOI: 10.1007/s11011-021-00860-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Accepted: 10/23/2021] [Indexed: 10/19/2022]
Abstract
We report the potential role of 1H Nuclear Magnetic Resonance (NMR) based metabolomics in tuberculous meningitis (TBM). We also correlate the significant metabolites with clinical-radiological parameters. Forty-three patients with TBM were included, and their severity of meningitis was graded as stages I to III, and patients with positive Mycobacterium tuberculosis or its nucleic acid was considered as definite TBM. 1H NMR-based metabolomic study was performed on (CSF) samples, and the significant metabolites compared to healthy controls were identified. Outcome at three months was defined as death, poor and good based on the modified Rankin Scale. These metabolites were compared between definite and probable groups of TBM, and also correlated with MRI findings. About 11 metabolites were found to be significant for distinguishing TBM from the controls. In TBM, lactate, glutamate, alanine, arginine, 2-hydroxyisobutyrate, formate, and cis-aconitate were upregulated, and glucose, fructose, glutamine, and myo-inositol were downregulated compared to the controls. For differentiating TBM from the controls, the AUC of the ROC curve generated using these significant metabolites was 0.99, with a 95% confidence interval from 0.96 to 1, demonstrating that these metabolites were able to classify cases with good sensitivity and specificity. Lactate concentration in CSF correlated with hemoglobin, CSF glucose, and infarction. The outcome did not correlate with metabolomics parameters. NMR-based CSF metabolomics have a potential role in differentiating TBM from the controls.
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Affiliation(s)
- Rashmi Parihar
- Centre of Biomedical Research, Lucknow, Uttar Pradesh, 226014, India
- Department of Bioinformatics, Dr. A. P. J. Abdul Kalam Technical University, Lucknow, India
| | - Ruchi Shukla
- Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India
| | - Bikash Baishya
- Centre of Biomedical Research, Lucknow, Uttar Pradesh, 226014, India.
| | - Jayantee Kalita
- Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India.
| | - Rudrashish Haldar
- Department of Anaesthesiology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Usha Kant Misra
- Department of Neurology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, 226014, India
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Johnson M, Nowlan S, Sahin G, Barnett DA, Joy AP, Touaibia M, Cuperlovic-Culf M, Zofija Avizonis D, Turcotte S. Decrease of Intracellular Glutamine by STF-62247 Results in the Accumulation of Lipid Droplets in von Hippel-Lindau Deficient Cells. Front Oncol 2022; 12:841054. [PMID: 35223522 PMCID: PMC8865074 DOI: 10.3389/fonc.2022.841054] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2021] [Accepted: 01/13/2022] [Indexed: 01/01/2023] Open
Abstract
Kidney cancer is one of the top ten cancer diagnosed worldwide and its incidence has increased the last 20 years. Clear Cell Renal Cell Carcinoma (ccRCC) are characterized by mutations that inactivate the von Hippel-Lindau (VHL) tumor suppressor gene and evidence indicated alterations in metabolic pathways, particularly in glutamine metabolism. We previously identified a small molecule, STF-62247, which target VHL-deficient renal tumors by affecting late-stages of autophagy and lysosomal signaling. In this study, we investigated ccRCC metabolism in VHL-deficient and proficient cells exposed to the small molecule. Metabolomics profiling using 1H NMR demonstrated that STF-62247 increases levels of glucose, pyruvate, glycerol 3-phosphate while glutamate, asparagine, and glutathione significantly decreased. Diminution of glutamate and glutamine was further investigated using mass spectrometry, western blot analyses, enzymatic activities, and viability assays. We found that expression of SLC1A5 increases in VHL-deficient cells treated with STF-62247, possibly to stimulate glutamine uptake intracellularly to counteract the diminution of this amino acid. However, exogenous addition of glutamine was not able to rescue cell viability induced by the small molecule. Instead, our results showed that VHL-deficient cells utilize glutamine to produce fatty acid in response to STF-62247. Surprisingly, this occurs through oxidative phosphorylation in STF-treated cells while control cells use reductive carboxylation to sustain lipogenesis. We also demonstrated that STF-62247 stimulated expression of stearoyl-CoA desaturase (SCD1) and peripilin2 (PLIN2) to generate accumulation of lipid droplets in VHL-deficient cells. Moreover, the carnitine palmitoyltransferase 1A (CPT1A), which control the entry of fatty acid into mitochondria for β-oxidation, also increased in response to STF-62247. CPT1A overexpression in ccRCC is known to limit tumor growth. Together, our results demonstrated that STF-62247 modulates cellular metabolism of glutamine, an amino acid involved in the autophagy-lysosome process, to support lipogenesis, which could be implicated in the signaling driving to cell death.
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Affiliation(s)
- Mathieu Johnson
- Department of Chemistry and Biochemistry, Université de Moncton, Moncton, NB, Canada.,Atlantic Cancer Research Institute, Moncton, NB, Canada
| | - Sarah Nowlan
- Department of Chemistry and Biochemistry, Université de Moncton, Moncton, NB, Canada.,Atlantic Cancer Research Institute, Moncton, NB, Canada
| | - Gülsüm Sahin
- Department of Chemistry and Biochemistry, Université de Moncton, Moncton, NB, Canada.,Atlantic Cancer Research Institute, Moncton, NB, Canada
| | | | - Andrew P Joy
- Atlantic Cancer Research Institute, Moncton, NB, Canada
| | - Mohamed Touaibia
- Department of Chemistry and Biochemistry, Université de Moncton, Moncton, NB, Canada
| | | | | | - Sandra Turcotte
- Department of Chemistry and Biochemistry, Université de Moncton, Moncton, NB, Canada.,Atlantic Cancer Research Institute, Moncton, NB, Canada
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Liu Y, Qi C, Zheng L, Li J, Wang L, Yang Y. 1H-NMR based metabolic study of MMTV-PyMT mice along with pathological progress to screen biomarkers for the early diagnosis of breast cancer. Mol Omics 2022; 18:167-177. [DOI: 10.1039/d1mo00387a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
This study showed the common metabolic changes between BC patients and mice, which were related to pathological processes.
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Affiliation(s)
- Ying Liu
- School of Life Sciences and Biopharmaceuticals, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
- Department of Pathology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, Guangdong, 510120, P. R. China
| | - Cuiling Qi
- School of Life Sciences and Biopharmaceuticals, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Lingyun Zheng
- School of Life Sciences and Biopharmaceuticals, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Jiangchao Li
- School of Life Sciences and Biopharmaceuticals, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Lijing Wang
- School of Life Sciences and Biopharmaceuticals, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
| | - Yongxia Yang
- Pharmacy Information Engineering Department, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
- Guangdong Province Key Laboratory for Biotechnology Drug Candidates, Guangdong Pharmaceutical University, Guangzhou, 510006, P. R. China
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Gender-Specific Metabolomics Approach to Kidney Cancer. Metabolites 2021; 11:metabo11110767. [PMID: 34822425 PMCID: PMC8624667 DOI: 10.3390/metabo11110767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Revised: 10/28/2021] [Accepted: 11/08/2021] [Indexed: 11/17/2022] Open
Abstract
Renal cell carcinoma (RCC) is the most common form of kidney malignancy. RCC is more common among men with a 2/1 male/female incidence ratio worldwide. Given the underlying epidemiological differences in the RCC incidence between males and females, we explored the gender specific 1H NMR serum metabolic profiles of RCC patients and their matched controls. A number of differential metabolites were shared by male and female RCC patients. These RCC specific changes included lower lactate, threonine, histidine, and choline levels together with increased levels of pyruvate, N-acetylated glycoproteins, beta-hydroxybutyrate, acetoacetate, and lysine. Additionally, serum lactate/pyruvate ratio was a strong predictor of RCC status regardless of gender. Although only moderate changes in metabolic profiles were observed between control males and females there were substantial gender related differences among RCC patients. Gender specific metabolic features associated with RCC status were identified suggesting that different metabolic panels could be leveraged for a more precise diagnostic.
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11
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Lee S, Ku JY, Kang BJ, Kim KH, Ha HK, Kim S. A Unique Urinary Metabolic Feature for the Determination of Bladder Cancer, Prostate Cancer, and Renal Cell Carcinoma. Metabolites 2021; 11:metabo11090591. [PMID: 34564407 PMCID: PMC8468099 DOI: 10.3390/metabo11090591] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 08/28/2021] [Accepted: 08/31/2021] [Indexed: 01/16/2023] Open
Abstract
Prostate cancer (PCa), bladder cancer (BCa), and renal cell carcinoma (RCC) are the most prevalent cancer among urological cancers. However, there are no cancer-specific symptoms that can differentiate them as well as early clinical signs of urological malignancy. Furthermore, many metabolic studies have been conducted to discover their biomarkers, but the metabolic profiling study to discriminate between these cancers have not yet been described. Therefore, in this study, we aimed to investigate the urinary metabolic differences in male patients with PCa (n = 24), BCa (n = 29), and RCC (n = 12) to find the prominent combination of metabolites between cancers. Based on 1H NMR analysis, orthogonal partial least-squares discriminant analysis was applied to find distinct metabolites among cancers. Moreover, the ranked analysis of covariance by adjusting a potential confounding as age revealed that 4-hydroxybenzoate, N-methylhydantoin, creatinine, glutamine, and acetate had significantly different metabolite levels among groups. The receiver operating characteristic analysis created by prominent five metabolites showed the great discriminatory accuracy with area under the curve (AUC) > 0.7 for BCa vs. RCC, PCa vs. BCa, and RCC vs. PCa. This preliminary study compares the metabolic profiles of BCa, PCa, and RCC, and reinforces the exploratory role of metabolomics in the investigation of human urine.
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Affiliation(s)
- Sujin Lee
- Department of Chemistry and Chemistry Institute for Functional Materials, Institute for Plastic Information and Energy Materials, Pusan National University, Busandaehak-ro 63, Geumjeong-gu, Busan 46241, Korea;
| | - Ja Yoon Ku
- Department of Urology, Dongnam Institute of Radiological & Medical Sciences Cancer Center, Busan 46033, Korea;
| | - Byeong Jin Kang
- Department of Urology, College of Medicine, Pusan National University, Busan 49241, Korea; (B.J.K.); (K.H.K.)
| | - Kyung Hwan Kim
- Department of Urology, College of Medicine, Pusan National University, Busan 49241, Korea; (B.J.K.); (K.H.K.)
| | - Hong Koo Ha
- Department of Urology, College of Medicine, Pusan National University and Biomedical Research Institute, Pusan National University Hospital, Busan 49241, Korea;
| | - Suhkmann Kim
- Department of Chemistry and Chemistry Institute for Functional Materials, Institute for Plastic Information and Energy Materials, Pusan National University, Busandaehak-ro 63, Geumjeong-gu, Busan 46241, Korea;
- Correspondence: ; Tel.: +82-51-510-2240
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12
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Fang Z, Sun Q, Yang H, Zheng J. SDHB Suppresses the Tumorigenesis and Development of ccRCC by Inhibiting Glycolysis. Front Oncol 2021; 11:639408. [PMID: 34094922 PMCID: PMC8170479 DOI: 10.3389/fonc.2021.639408] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 04/22/2021] [Indexed: 12/16/2022] Open
Abstract
Metabolic reprogramming is the prominent feature of clear cell renal cell carcinoma (ccRCC). Succinate dehydrogenase subunit B (SDHB) is one of subunits of mitochondrial respiratory chain complex II. The loss of SDHB function is closely related with metabolic changes in kidney cancer cells. However, the role and molecular mechanism of SDHB in ccRCC occurrence and progression are still unclear. In this study, the results of bioinformatics analyses on GEO, TCGA and oncomine databases and immunohistochemistry showed that the expression level of SDHB was downregulated in ccRCC tissues. SDHB level was gradually downregulated as ccRCC stage and grade progressed. The low level of SDHB was associated with poor prognosis of ccRCC patients, especially for advanced ccRCC patients. Increased methylation levels in SDHB gene promoter led to the downregulation of SDHB level in ccRCC tissues. SDHB was correlated with many metabolism related genes and its interacting proteins were enriched in metabolic pathways. SDHB overexpression suppressed the proliferation, colony formation and migration of ccRCC cells by inhibiting aerobic glycolysis. SDHB may be a potential prognostic marker and therapeutic target for ccRCC.
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Affiliation(s)
- Zhiyu Fang
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Qiang Sun
- Blood Purification Center, Beijing Key Laboratory of Pediatric Chronic Kidney Diseases and Blood Purification, Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Huihui Yang
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
| | - Junfang Zheng
- Beijing Key Laboratory of Cancer Invasion and Metastasis Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Capital Medical University, Beijing, China
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13
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Nizioł J, Copié V, Tripet BP, Nogueira LB, Nogueira KOPC, Ossoliński K, Arendowski A, Ruman T. Metabolomic and elemental profiling of human tissue in kidney cancer. Metabolomics 2021; 17:30. [PMID: 33661419 PMCID: PMC7932981 DOI: 10.1007/s11306-021-01779-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2020] [Accepted: 02/22/2021] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Kidney cancer is one of the most frequently diagnosed and the most lethal urinary cancer. Despite advances in treatment, no specific biomarker is currently in use to guide therapeutic interventions. OBJECTIVES Major aim of this work was to perform metabolomic and elemental profiling of human kidney cancer and normal tissue and to evaluate cancer biomarkers. METHODS Metabolic and elemental profiling of tumor and adjacent normal human kidney tissue from 50 patients with kidney cancer was undertaken using three different analytical methods. RESULTS Five potential tissue biomarkers of kidney cancer were identified and quantified using with high-resolution nuclear magnetic resonance spectroscopy. The contents of selected chemical elements in tissues was analyzed using inductively coupled plasma optical emission spectrometry. Eleven mass spectral features differentiating between kidney cancer and normal tissues were detected using silver-109 nanoparticle enhanced steel target laser desorption/ionization mass spectrometry. CONCLUSIONS Our results, derived from the combination of ICP-OES, LDI MS and 1H NMR methods, suggest that tissue biomarkers identified herein appeared to have great potential for use in clinical prognosis and/or diagnosis of kidney cancer.
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Affiliation(s)
- Joanna Nizioł
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland.
| | - Valérie Copié
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Brian P Tripet
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Leonardo B Nogueira
- Department of Geology, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil
| | - Katiane O P C Nogueira
- Department of Biological Sciences, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil
| | - Krzysztof Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100, Kolbuszowa, Poland
| | - Adrian Arendowski
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland
| | - Tomasz Ruman
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., 35-959, Rzeszów, Poland
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14
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Yang F, Li Q, Xiang J, Zhang H, Sun H, Ruan G, Tang Y. NMR-based plasma metabolomics of adult B-cell acute lymphoblastic leukemia. Mol Omics 2020; 17:153-159. [PMID: 33295915 DOI: 10.1039/d0mo00067a] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Acute lymphoblastic leukemia (ALL) is one of the common malignant tumors. Compared with childhood ALL, the treatment effect of adult B-cell ALL is less effective and remains a big challenge. In order to explore the pathogenesis of adult B-cell ALL and find new diagnostic biomarkers to develop sensitive diagnostic tools, we investigated the plasma metabolites of adult B-cell ALL by using 1H NMR (nuclear magnetic resonance) metabolomics. Relative to healthy controls, adult B-cell ALL patients showed abnormal metabolism, including glycolysis, gluconeogenesis, amino acid metabolism, fatty acid metabolism and choline phospholipid metabolism. What's more important, we also found that the optimal combination of choline, tyrosine and unsaturated lipids has the potential to diagnose and prognose adult B-cell ALL in the clinic.
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Affiliation(s)
- Fengmin Yang
- National Laboratory for Molecular Sciences, Center for Molecular Sciences, State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Institute of Chemistry, Chinese Academy of Sciences, Beijing, P. R. China.
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15
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Manzi M, Palazzo M, Knott ME, Beauseroy P, Yankilevich P, Giménez MI, Monge ME. Coupled Mass-Spectrometry-Based Lipidomics Machine Learning Approach for Early Detection of Clear Cell Renal Cell Carcinoma. J Proteome Res 2020; 20:841-857. [PMID: 33207877 DOI: 10.1021/acs.jproteome.0c00663] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
A discovery-based lipid profiling study of serum samples from a cohort that included patients with clear cell renal cell carcinoma (ccRCC) stages I, II, III, and IV (n = 112) and controls (n = 52) was performed using ultraperformance liquid chromatography coupled to quadrupole-time-of-flight mass spectrometry and machine learning techniques. Multivariate models based on support vector machines and the LASSO variable selection method yielded two discriminant lipid panels for ccRCC detection and early diagnosis. A 16-lipid panel allowed discriminating ccRCC patients from controls with 95.7% accuracy in a training set under cross-validation and 77.1% accuracy in an independent test set. A second model trained to discriminate early (I and II) from late (III and IV) stage ccRCC yielded a panel of 26 compounds that classified stage I patients from an independent test set with 82.1% accuracy. Thirteen species, including cholic acid, undecylenic acid, lauric acid, LPC(16:0/0:0), and PC(18:2/18:2), identified with level 1 exhibited significantly lower levels in samples from ccRCC patients compared to controls. Moreover, 3α-hydroxy-5α-androstan-17-one 3-sulfate, cis-5-dodecenoic acid, arachidonic acid, cis-13-docosenoic acid, PI(16:0/18:1), PC(16:0/18:2), and PC(O-16:0/20:4) contributed to discriminate early from late ccRCC stage patients. The results are auspicious for early ccRCC diagnosis after validation of the panels in larger and different cohorts.
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Affiliation(s)
- Malena Manzi
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD CABA, Argentina.,Departamento de Química Biológica, Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires. Junín 956, C1113AAD Buenos Aires, Argentina
| | - Martín Palazzo
- LM2S, Université de Technologie de Troyes, 12 rue Marie-Curie, CS42060 Troyes, France.,Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA), CONICET, Instituto Partner de la Sociedad Max Planck, Godoy Cruz 2390, C1425FQD CABA, Argentina
| | - María Elena Knott
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD CABA, Argentina
| | - Pierre Beauseroy
- LM2S, Université de Technologie de Troyes, 12 rue Marie-Curie, CS42060 Troyes, France
| | - Patricio Yankilevich
- Instituto de Investigación en Biomedicina de Buenos Aires (IBioBA), CONICET, Instituto Partner de la Sociedad Max Planck, Godoy Cruz 2390, C1425FQD CABA, Argentina
| | - María Isabel Giménez
- Departamento de Diagnóstico y Tratamiento, Hospital Italiano de Buenos Aires, Tte. Gral. Juan Domingo Perón 4190, C1199ABB CABA, Argentina
| | - María Eugenia Monge
- Centro de Investigaciones en Bionanociencias (CIBION), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Godoy Cruz 2390, C1425FQD CABA, Argentina
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16
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Nizioł J, Ossoliński K, Tripet BP, Copié V, Arendowski A, Ruman T. Nuclear magnetic resonance and surface-assisted laser desorption/ionization mass spectrometry-based metabolome profiling of urine samples from kidney cancer patients. J Pharm Biomed Anal 2020; 193:113752. [PMID: 33197834 DOI: 10.1016/j.jpba.2020.113752] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 10/25/2020] [Accepted: 11/01/2020] [Indexed: 12/13/2022]
Abstract
Kidney cancer is one of the most frequently diagnosed cancers of the urinary tract in the world. Despite significant advances in kidney cancer treatment, no urine specific biomarker is currently used to guide therapeutic interventions. In an effort to address this knowledge gap, metabolic profiling of urine samples from 50 patients with kidney cancer and 50 healthy volunteers was undertaken using high-resolution proton nuclear magnetic resonance spectroscopy (1H NMR) and silver-109 nanoparticle enhanced steel target laser desorption/ionization mass spectrometry (109AgNPET LDI MS). Twelve potential urine biomarkers of kidney cancer were identified and quantified using one-dimensional (1D) 1H NMR metabolomics. Seven mass spectral features which differed significantly in abundance (p < 0.05) between kidney cancer patients and healthy volunteers were also detected using 109AgNPET-based laser desorption/ionization mass spectrometry (LDI MS). This work provides a framework to expand biomarker discovery that could be used as useful diagnostic or prognostic of kidney cancer progression.
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Affiliation(s)
- Joanna Nizioł
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland.
| | - Krzysztof Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100 Kolbuszowa, Poland
| | - Brian P Tripet
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana 59717, United States
| | - Valérie Copié
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, Montana 59717, United States
| | - Adrian Arendowski
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
| | - Tomasz Ruman
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., 35-959 Rzeszów, Poland
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17
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Chen YY, Hu HH, Wang YN, Liu JR, Liu HJ, Liu JL, Zhao YY. Metabolomics in renal cell carcinoma: From biomarker identification to pathomechanism insights. Arch Biochem Biophys 2020; 695:108623. [PMID: 33039388 DOI: 10.1016/j.abb.2020.108623] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Revised: 09/14/2020] [Accepted: 10/04/2020] [Indexed: 12/27/2022]
Abstract
Renal cell carcinoma (RCC) is a frequently diagnosed cancer with high prevalence, which is inversely associated with survival benefit. Although myriad studies have shed light on disease causality, unfortunately, thus far, RCC diagnosis is faced with numerous obstacles partly due to the insufficient knowledge of effective biomarkers, hinting deeper mechanistic understanding are urgently needed. Metabolites are recognized as final proxies for gene-environment interactions and physiological homeostasis as they reflect dynamic processes that are ongoing or have been taken place, and metabolomics may therefore offer a far more productive and cost-effective route to disease discovery, particularly within the arena for new biomarker identification. In this review, we primarily expatiate recent advances in metabolomics that may be amenable to novel biomarkers or therapeutic targets for RCC, which may expand our armaments to win more bettles against RCC.
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Affiliation(s)
- Yuan-Yuan Chen
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi, 710069, China
| | - He-He Hu
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi, 710069, China
| | - Yan-Ni Wang
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi, 710069, China
| | - Jing-Ru Liu
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi, 710069, China
| | - Hai-Jing Liu
- Shaanxi Institute for Food and Drug Control, Xi'an, Shaanxi, 710065, China.
| | - Jian-Ling Liu
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi, 710069, China.
| | - Ying-Yong Zhao
- Faculty of Life Science & Medicine, Northwest University, No. 229 Taibai North Road, Xi'an, Shaanxi, 710069, China.
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18
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Nizioł J, Ossoliński K, Tripet BP, Copié V, Arendowski A, Ruman T. Nuclear magnetic resonance and surface-assisted laser desorption/ionization mass spectrometry-based serum metabolomics of kidney cancer. Anal Bioanal Chem 2020; 412:5827-5841. [PMID: 32661677 PMCID: PMC7413895 DOI: 10.1007/s00216-020-02807-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 06/19/2020] [Accepted: 07/06/2020] [Indexed: 12/24/2022]
Abstract
Kidney cancer is one of the most frequently diagnosed and the most lethal urinary cancer. Despite all the efforts made, no serum-specific biomarker is currently used in the clinical management of patients with this tumor. In this study, comprehensive high-resolution proton nuclear magnetic resonance spectroscopy (1H NMR) and silver-109 nanoparticle-enhanced steel target laser desorption/ionization mass spectrometry (109AgNPET LDI MS) approaches were conducted, in conjunction with multivariate data analysis, to discriminate the global serum metabolic profiles of kidney cancer (n = 50) and healthy volunteers (n = 49). Eight potential biomarkers have been identified using 1H NMR metabolomics and nine mass spectral features which differed significantly (p < 0.05) between kidney cancer patients and healthy volunteers, as observed by LDI MS. A partial least squares discriminant analysis (OPLS-DA) model generated from metabolic profiles obtained by both analytical approaches could robustly discriminate normal from cancerous samples (Q2 > 0.7), area under the receiver operative characteristic curve (ROC) AUC > 0.96. Compared with healthy human serum, kidney cancer serum had higher levels of glucose and lower levels of choline, glycerol, glycine, lactate, leucine, myo-inositol, and 1-methylhistidine. Analysis of differences between these metabolite levels in patients with different types and grades of kidney cancer was undertaken. Our results, derived from the combination of LDI MS and 1H NMR methods, suggest that serum biomarkers identified herein appeared to have great potential for use in clinical prognosis and/or diagnosis of kidney cancer. Graphical abstract.
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Affiliation(s)
- Joanna Nizioł
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave, 35-959, Rzeszów, Poland.
| | - Krzysztof Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St, 36-100, Kolbuszowa, Poland
| | - Brian P Tripet
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Valérie Copié
- The Department of Chemistry and Biochemistry, Montana State University, Bozeman, MT, 59717, USA
| | - Adrian Arendowski
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave, 35-959, Rzeszów, Poland
| | - Tomasz Ruman
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave, 35-959, Rzeszów, Poland
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19
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Xiang M, Du F, Dai J, Chen L, Geng R, Huang H, Xie B. Exploring serum metabolic markers for the discrimination of ccRCC from renal angiomyolipoma by metabolomics. Biomark Med 2020; 14:675-682. [PMID: 32613842 DOI: 10.2217/bmm-2019-0215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
Aim: The discrimination of renal cell carcinoma from renal angiomyolipoma (RAML) is crucial for the effective treatment of each. Materials & methods: Serum samples were analyzed by nuclear magnetic resonance spectroscopy-based metabolomics and a number of metabolites were further quantified by HPLC-UV. Results: Clear-cell renal carcinoma (ccRCC) was characterized by drastic disruptions in energy, amino acids, creatinine and uric acid metabolic pathways. A logistic model for the differential diagnosis of RAML from ccRCC was established using the combination of serum levels of uric acid, the ratio of uric acid to hypoxanthine and the ratio of hypoxanthine to creatinine as variables with area under the curve of the receiver operating characteristic curve value of 0.907. Conclusion: Alterations in serum purine metabolites may be used as potential metabolic markers for the differential diagnosis of ccRCC and RAML.
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Affiliation(s)
- Mingfeng Xiang
- Department of Urology, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, PR China
| | - Feng Du
- School of Pharmaceutical Science, Nanchang University, Nanchang, PR China
| | - Jing Dai
- School of Pharmaceutical Science, Nanchang University, Nanchang, PR China
| | - Ling Chen
- School of Pharmaceutical Science, Nanchang University, Nanchang, PR China
| | - Ruijin Geng
- School of Pharmaceutical Science, Nanchang University, Nanchang, PR China
| | - Huiming Huang
- School of Pharmaceutical Science, Nanchang University, Nanchang, PR China
| | - Baogang Xie
- Department of Pharmaceutics, Medical College of Jiaxing University, Jiaxing, PR China.,School of Pharmaceutical Science, Nanchang University, Nanchang, PR China
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20
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Amaro F, Pinto J, Rocha S, Araújo AM, Miranda-Gonçalves V, Jerónimo C, Henrique R, Bastos MDL, Carvalho M, Guedes de Pinho P. Volatilomics Reveals Potential Biomarkers for Identification of Renal Cell Carcinoma: An In Vitro Approach. Metabolites 2020; 10:metabo10050174. [PMID: 32349455 PMCID: PMC7281256 DOI: 10.3390/metabo10050174] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 04/22/2020] [Accepted: 04/24/2020] [Indexed: 12/11/2022] Open
Abstract
The identification of noninvasive biomarkers able to detect renal cell carcinoma (RCC) at an early stage remains an unmet clinical need. The recognition that altered metabolism is a core hallmark of cancer boosted metabolomic studies focused in the search for cancer biomarkers. The present work aims to evaluate the performance of the volatile metabolites present in the extracellular medium to discriminate RCC cell lines with distinct histological subtypes (clear cell and papillary) and metastatic potential from non-tumorigenic renal cells. Hence, volatile organic compounds (VOCs) and volatile carbonyl compounds (VCCs) were extracted by headspace solid-phase microextraction (HS-SPME) and analyzed by gas chromatography-mass spectrometry (GC-MS). Multivariate and univariate analysis unveiled a panel of metabolites responsible for the separation between groups, mostly belonging to ketones, alcohols, alkanes and aldehydes classes. Some metabolites were found similarly altered for all RCC cell lines compared to non-tumorigenic cells, namely 2-ethylhexanol, tetradecane, formaldehyde, acetone (increased) and cyclohexanone and acetaldehyde (decreased). Furthermore, significantly altered levels of cyclohexanol, decanal, decane, dodecane and 4-methylbenzaldehyde were observed in all metastatic RCC cell lines when compared with the non-metastatic ones. Moreover, some alterations in the volatile composition were also observed between RCC histological subtypes. Overall, our results demonstrate the potential of volatile profiling for identification of noninvasive candidate biomarkers for early RCC diagnosis.
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Affiliation(s)
- Filipa Amaro
- UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (S.R.); (A.M.A.); (M.d.L.B.); (P.G.d.P.)
- Correspondence: (F.A.); (J.P.); (M.C.); Tel.: +351-220-428-500 (F.A. & J.P.); +351-225-071-300 (M.C.)
| | - Joana Pinto
- UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (S.R.); (A.M.A.); (M.d.L.B.); (P.G.d.P.)
- Correspondence: (F.A.); (J.P.); (M.C.); Tel.: +351-220-428-500 (F.A. & J.P.); +351-225-071-300 (M.C.)
| | - Sílvia Rocha
- UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (S.R.); (A.M.A.); (M.d.L.B.); (P.G.d.P.)
- Master in Oncology, Institute of Biomedical Sciences Abel Salazar–University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
| | - Ana Margarida Araújo
- UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (S.R.); (A.M.A.); (M.d.L.B.); (P.G.d.P.)
| | - Vera Miranda-Gonçalves
- Cancer Biology & Epigenetics Group, Research Centre (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto), 4200-072 Porto, Portugal; (V.M.-G.); (C.J.); (R.H.)
| | - Carmen Jerónimo
- Cancer Biology & Epigenetics Group, Research Centre (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto), 4200-072 Porto, Portugal; (V.M.-G.); (C.J.); (R.H.)
- Department of Pathology and Molecular Immunology-Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313 Porto, Portugal
| | - Rui Henrique
- Cancer Biology & Epigenetics Group, Research Centre (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto), 4200-072 Porto, Portugal; (V.M.-G.); (C.J.); (R.H.)
- Department of Pathology and Molecular Immunology-Biomedical Sciences Institute (ICBAS), University of Porto, 4050-313 Porto, Portugal
- Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto), 4200-072 Porto, Portugal
| | - Maria de Lourdes Bastos
- UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (S.R.); (A.M.A.); (M.d.L.B.); (P.G.d.P.)
| | - Márcia Carvalho
- UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (S.R.); (A.M.A.); (M.d.L.B.); (P.G.d.P.)
- UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa, 349, 4249-004 Porto, Portugal
- Correspondence: (F.A.); (J.P.); (M.C.); Tel.: +351-220-428-500 (F.A. & J.P.); +351-225-071-300 (M.C.)
| | - Paula Guedes de Pinho
- UCIBIO, REQUIMTE, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal; (S.R.); (A.M.A.); (M.d.L.B.); (P.G.d.P.)
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21
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Nizioł J, Sunner J, Beech I, Ossoliński K, Ossolińska A, Ossoliński T, Płaza A, Ruman T. Localization of Metabolites of Human Kidney Tissue with Infrared Laser-Based Selected Reaction Monitoring Mass Spectrometry Imaging and Silver-109 Nanoparticle-Based Surface Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. Anal Chem 2020; 92:4251-4258. [PMID: 32083846 PMCID: PMC7497619 DOI: 10.1021/acs.analchem.9b04580] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
![]()
Infrared (IR) laser
ablation-remote-electrospray ionization (LARESI)
platform coupled to a tandem mass spectrometer (MS/MS) operated in
selected reaction monitoring (SRM) or multiple reaction monitoring
(MRM) modes was developed and employed for imaging of target metabolites
in human kidney cancer tissue. SRM or MRM modes were employed to avoid
artifacts that are present in full scan MS mode. Four tissue samples
containing both cancerous and noncancerous regions, obtained from
three patients with renal cell carcinoma (RCC), were imaged. Sixteen
endogenous metabolites that were reported in the literature as varying
in abundance between cancerous and noncancerous areas in various human
tissues were selected for analysis. Target metabolites comprised ten
amino acids, four nucleosides and nucleobases, lactate, and vitamin
E. For comparison purposes, images of the same metabolites were obtained
with ultraviolet (UV) desorption/ionization mass spectrometry imaging
(UV-LDI-MSI) using monoisotopic silver-109 nanoparticle-enhanced target
(109AgNPET) in full-scan MS mode. The acquired MS images
revealed differences in abundances of selected metabolites between
cancerous and noncancerous regions of the kidney tissue. Importantly,
the two imaging methods offered similar results. This study demonstrates
the applicability of the novel ambient LARESI SRM/MRM MSI method to
both investigating and discovering cancer biomarkers in human tissue.
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Affiliation(s)
- Joanna Nizioł
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland
| | - Jan Sunner
- Center for Biofilm Engineering, Montana State University, 366 Barnard Hall, Bozeman, Montana 59717-3980, United States
| | - Iwona Beech
- Center for Biofilm Engineering, Montana State University, 366 Barnard Hall, Bozeman, Montana 59717-3980, United States
| | - Krzysztof Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., Kolbuszowa, 36-100, Poland
| | - Anna Ossolińska
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., Kolbuszowa, 36-100, Poland
| | - Tadeusz Ossoliński
- Department of Urology, John Paul II Hospital, Grunwaldzka 4 St., Kolbuszowa, 36-100, Poland
| | - Aneta Płaza
- Doctoral School of Engineering and Technical Sciences at the Rzeszów University of Technology, 8 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland
| | - Tomasz Ruman
- Rzeszów University of Technology, Faculty of Chemistry, 6 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland
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22
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Gupta A, Nath K, Bansal N, Kumar M. Role of metabolomics-derived biomarkers to identify renal cell carcinoma: a comprehensive perspective of the past ten years and advancements. Expert Rev Mol Diagn 2019; 20:5-18. [DOI: 10.1080/14737159.2020.1704259] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Ashish Gupta
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
| | - Kavindra Nath
- Department of Radiology, University of Pennsylvania, Pheladelphia, PA, USA
| | - Navneeta Bansal
- Department of Urology, King George’s Medical University, Lucknow, India
| | - Manoj Kumar
- Department of Urology, King George’s Medical University, Lucknow, India
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23
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Dobberthien BJ, Volotovskyy V, Tessier AG, Yahya A. Magnetic resonance spectroscopy of rat kidney
in vivo
at 9.4 T. Biomed Phys Eng Express 2019. [DOI: 10.1088/2057-1976/ab3090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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24
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Yumba-Mpanga A, Struck-Lewicka W, Wawrzyniak R, Markuszewski M, Roslan M, Kaliszan R, Markuszewski MJ. Metabolomic Heterogeneity of Urogenital Tract Cancers Analyzed by Complementary Chromatographic Techniques Coupled with Mass Spectrometry. Curr Med Chem 2019; 26:216-231. [PMID: 28990506 DOI: 10.2174/0929867324666171006150326] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2016] [Revised: 08/05/2016] [Accepted: 09/20/2016] [Indexed: 01/22/2023]
Abstract
BACKGROUND In regard to urogenital tract cancer studies, an estimated 340,650 new cases and 58,360 deaths from genital system cancer and about 141,140 new cases and 29330 deaths from urinary system were projected to occur in the United States in 2012. The main drawbacks of currently available diagnostic tests constitute the low specificity, costliness and quite high invasiveness. OBJECTIVE The main goal of this pilot study was to determine and compare urine metabolic fingerprints in urogenital tract cancer patients and healthy controls. METHOD A comparative analysis of the metabolic profile of urine from 30 patients with cancer of the genitourinary system (bladder (n=10), kidney (n=10) and prostate (n=10)) and 30 healthy volunteers as a control group was provided by LC-TOF/MS and GCQqQ/ MS. The data analysis was performed by the use of U-Mann Whitney test or Student's t-test, principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA). RESULTS As a result, 33, 43, and 22 compounds were identified as statistically significant in bladder, prostate and kidney cancer, respectively, compared to healthy groups. CONCLUSION Diverse compounds such as purine, sugars, amino acids, nucleosides, organic acids which play a role in purine metabolism, in tricarboxylic acid cycle, in amino acid metabolism or in gut microbiota metabolism were identified. Only two metabolites namely glucocaffeic acid and lactic acid were found to be in common in studied three types of cancer.
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Affiliation(s)
- Arlette Yumba-Mpanga
- Medical University of Gdansk, Department of Biopharmaceutics and Pharmacodynamics, ul. Al.Gen. J Hallera 107, Gdansk 80-416, Poland
| | - Wiktoria Struck-Lewicka
- Medical University of Gdansk, Department of Biopharmaceutics and Pharmacodynamics, ul. Al.Gen. J Hallera 107, Gdansk 80-416, Poland
| | - Renata Wawrzyniak
- Medical University of Gdansk, Department of Biopharmaceutics and Pharmacodynamics, ul. Al.Gen. J Hallera 107, Gdansk 80-416, Poland
| | - Marcin Markuszewski
- Medical University of Gdansk, Department of Urology, ul. Mariana Smoluchowskiego 17, Gdansk 80-214, Poland
| | - Marek Roslan
- Medical University of Gdansk, Department of Urology, ul. Mariana Smoluchowskiego 17, Gdansk 80-214, Poland
| | - Roman Kaliszan
- Medical University of Gdansk, Department of Biopharmaceutics and Pharmacodynamics, ul. Al.Gen. J Hallera 107, Gdansk 80-416, Poland
| | - Michał Jan Markuszewski
- Medical University of Gdansk, Department of Biopharmaceutics and Pharmacodynamics, ul. Al.Gen. J Hallera 107, Gdansk 80-416, Poland
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25
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Dong M, Ren M, Li C, Zhang X, Yang C, Zhao L, Gao H. Analysis of Metabolic Alterations Related to Pathogenic Process of Diabetic Encephalopathy Rats. Front Cell Neurosci 2019; 12:527. [PMID: 30692917 PMCID: PMC6339875 DOI: 10.3389/fncel.2018.00527] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 12/19/2018] [Indexed: 12/25/2022] Open
Abstract
Diabetic encephalopathy (DE) is a diabetic complication characterized by alterations in cognitive function and nervous system structure. The pathogenic transition from hyperglycemia to DE is a long-term process accompanied by multiple metabolic disorders. Exploring time-dependent metabolic changes in hippocampus will facilitate our understanding of the pathogenesis of DE. In the present study, we first performed behavioral and histopathological experiments to confirm the appearance of DE in rats with streptozotocin-induced diabetes. We then utilized nuclear magnetic resonance-based metabonomics to analyze metabolic disorders in the hippocampus at different stages of DE. After 1 week, we observed no cognitive or structural impairments in diabetic rats, although some metabolic changes were observed in local hippocampal extracts. At 5 weeks, while cognitive function was still normal, we then examined initial levels of neuronal apoptosis. The characteristic metabolic changes of this stage included elevated levels of energy metabolites (i.e., ATP, ADP, AMP, and creatine phosphate/creatine). At 9 weeks, significant cognitive decline and histopathological brain damage were observed, in conjunction with reduced levels of some amino acids. Thus, this stage was classified as the DE period. Our findings indicated that the pathogenesis of DE is associated with time-dependent alterations in metabolic features in hippocampal regions, such as glycolysis, osmoregulation, energy metabolism, choline metabolism, branched-chain amino acid metabolism, and the glutamate-glutamine cycle. Furthermore, we observed alterations in levels of lactate and its receptor in hippocampal cells, which may be involved in the pathogenesis of DE.
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Affiliation(s)
- Minjian Dong
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Mengqian Ren
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Chen Li
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Xi Zhang
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Changwei Yang
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Liangcai Zhao
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
| | - Hongchang Gao
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, China
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26
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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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27
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Nizioł J, Bonifay V, Ossoliński K, Ossoliński T, Ossolińska A, Sunner J, Beech I, Arendowski A, Ruman T. Metabolomic study of human tissue and urine in clear cell renal carcinoma by LC-HRMS and PLS-DA. Anal Bioanal Chem 2018; 410:3859-3869. [PMID: 29658093 PMCID: PMC5956006 DOI: 10.1007/s00216-018-1059-x] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 03/01/2018] [Accepted: 04/03/2018] [Indexed: 12/14/2022]
Abstract
Renal cell carcinoma (RCC) is the most prevalent and lethal malignancy of the kidney. Despite all the efforts made, no tissue biomarker is currently used in the clinical management of patients with kidney cancer. A search for possible biomarkers in urine for clear cell renal cell carcinoma (ccRCC) has been conducted. Non-targeted metabolomic analyses were performed on paired samples of surgically removed renal cancer and normal tissue, as well as on urine samples. Extracts were analyzed by liquid chromatography/high-resolution mass spectrometry (LC-HRMS). Hydroxybutyrylcarnitine, decanoylcarnitine, propanoylcarnitine, carnitine, dodecanoylcarnitine, and norepinephrine sulfate were found in much higher concentrations in both cancer tissues (compared with the paired normal tissue) and in urine of cancer patients (compared with control urine). In contrast, riboflavin and acetylaspartylglutamate (NAAG) were present at significantly higher concentrations both in normal kidney tissue as well as in urine samples of healthy persons. This preliminary study resulted in the identification of several compounds that may be considered potential clear cell renal carcinoma biomarkers. Graphical abstract PLS-DA plot based on LC-MS data for normal and cancer human tissue samples. The aim of this work was the identification of up- and downregulated compounds that could potentially serve as renal cancer biomarkers.
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Affiliation(s)
- Joanna Nizioł
- Faculty of Chemistry, Rzeszow University of Technology, 35-959, Rzeszow, Poland.
| | - Vincent Bonifay
- Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK, 73019, USA
| | - Krzysztof Ossoliński
- Department of General Surgery and Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100, Kolbuszowa, Poland
| | - Tadeusz Ossoliński
- Department of General Surgery and Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100, Kolbuszowa, Poland
| | - Anna Ossolińska
- Department of General Surgery and Urology, John Paul II Hospital, Grunwaldzka 4 St., 36-100, Kolbuszowa, Poland
| | - Jan Sunner
- Department of Chemistry, Montana State University, 103 Chemistry and Biochemistry Building, Bozeman, MT, 59717, USA
| | - Iwona Beech
- Center of Biofilm Engineering, Montana State University, 366 Barnard Hall, Bozeman, MT, 59717, USA
| | - Adrian Arendowski
- Faculty of Chemistry, Rzeszow University of Technology, 35-959, Rzeszow, Poland
| | - Tomasz Ruman
- Faculty of Chemistry, Rzeszow University of Technology, 35-959, Rzeszow, Poland
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28
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Li Y, Wang C, Li D, Deng P, Shao X, Hu J, Liu C, Jie H, Lin Y, Li Z, Qian X, Zhang H, Zhao Y. 1H-NMR-based metabolic profiling of a colorectal cancer CT-26 lung metastasis model in mice. Oncol Rep 2017; 38:3044-3054. [PMID: 28901465 DOI: 10.3892/or.2017.5954] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 06/26/2017] [Indexed: 02/05/2023] Open
Abstract
Lung metastasis is an important cause for the low 5-year survival rate of colorectal cancer patients. Understanding the metabolic profile of lung metastasis of colorectal cancer is important for developing molecular diagnostic and therapeutic approaches. We carried out the metabonomic profiling of lung tissue samples on a mouse lung metastasis model of colorectal cancer using 1H-nuclear magnetic resonance (1H-NMR). The lung tissues of mice were collected at different intervals after marine colon cancer cell line CT-26 was intravenously injected into BALB/c mice. The distinguishing metabolites of lung tissue were investigated using 1H-NMR-based metabonomic assay, which is a highly sensitive and non-destructive method for biomarker identification. Principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were applied to analyze 1H-NMR profiling data to seek potential biomarkers. All of the 3 analyses achieved excellent separations between the normal and metastasis groups. A total of 42 metabolites were identified, ~12 of which were closely correlated with the process of metastasis from colon to lung. These altered metabolites indicated the disturbance of metabolism in metastatic tumors including glycolysis, TCA cycle, glutaminolysis, choline metabolism and serine biosynthesis. Our findings firstly identified the distinguishing metabolites in mouse colorectal cancer lung metastasis models, and indicated that the metabolite disturbance may be associated with the progression of lung metastasis from colon cancer. The altered metabolites may be potential biomarkers that provide a promising molecular approach for clinical diagnosis and mechanistic study of colorectal cancer with lung metastasis.
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Affiliation(s)
- Yan Li
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Chunting Wang
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Dandan Li
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Pengchi Deng
- Analytical and Testing Center, Sichuan University, Chengdu, Sichuan 610041, P.R. China
| | - Xiaoni Shao
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Jing Hu
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Chunqi Liu
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Hui Jie
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Yiyun Lin
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Zhuoling Li
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Xinying Qian
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Huaqin Zhang
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
| | - Yinglan Zhao
- Pharmacodynamics Pharmacokinetics Early Safety Evaluation Model Animals, Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center, Chengdu, Sichuan 610041, P.R. China
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29
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Urine and Serum Metabolomics Analyses May Distinguish between Stages of Renal Cell Carcinoma. Metabolites 2017; 7:metabo7010006. [PMID: 28165361 PMCID: PMC5372209 DOI: 10.3390/metabo7010006] [Citation(s) in RCA: 39] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 01/18/2017] [Accepted: 01/26/2017] [Indexed: 12/15/2022] Open
Abstract
Renal cell carcinoma (RCC) is a heterogeneous disease that is usually asymptomatic until late in the disease. There is an urgent need for RCC specific biomarkers that may be exploited clinically for diagnostic and prognostic purposes. Preoperative fasting urine and serum samples were collected from patients with clinical renal masses and assessed with 1H NMR and GCMS (gas chromatography-mass spectrometry) based metabolomics and multivariate statistical analysis. Alterations in levels of glycolytic and tricarboxylic acid (TCA) cycle intermediates were detected in RCC relative to benign masses. Orthogonal Partial Least Square Discriminant Analysis plots discriminated between benign vs. pT1 (R2 = 0.46, Q2 = 0.28; AUC = 0.83), benign vs. pT3 (R2 = 0.58, Q2 = 0.37; AUC = 0.87) for 1H NMR-analyzed serum and between benign vs. pT1 (R2 = 0.50, Q2 = 0.37; AUC = 0.83), benign vs. pT3 (R2 = 0.72, Q2 = 0.68, AUC = 0.98) for urine samples. Separation was observed between benign vs. pT3 (R2 = 0.63, Q2 = 0.48; AUC = 0.93), pT1 vs. pT3 (R2 = 0.70, Q2 = 0.54) for GCMS-analyzed serum and between benign vs. pT3 (R2Y = 0.87; Q2 = 0.70; AUC = 0.98) for urine samples. This pilot study suggests that urine and serum metabolomics may be useful in differentiating benign renal tumors from RCC and for staging RCC.
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30
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Rodrigues D, Monteiro M, Jerónimo C, Henrique R, Belo L, Bastos MDL, Guedes de Pinho P, Carvalho M. Renal cell carcinoma: a critical analysis of metabolomic biomarkers emerging from current model systems. Transl Res 2017; 180:1-11. [PMID: 27546593 DOI: 10.1016/j.trsl.2016.07.018] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/26/2016] [Revised: 07/16/2016] [Accepted: 07/23/2016] [Indexed: 10/21/2022]
Abstract
Metabolomics, an emerging field of "omics" sciences, has caught wide scientific attention in the area of biomarker research for cancers in which early diagnostic biomarkers have the potential to greatly improve patient outcome, such as renal cell carcinoma (RCC). Metabolomic approaches have been successfully applied to various human RCC model systems, mostly ex vivo neoplastic renal tissues and biofluids (urine and serum) from patients with RCC. Importantly, in contrast to other cancers, only a few studies have addressed the RCC metabolome using cancer cell culture-based in vitro models. Herein, we first carried out a comprehensive review of current metabolomic data in RCC, with emphasis on metabolite disturbances and dysregulated metabolic pathways identified in each of these experimental models. We then critically analyzed the consistency of evidence in this field and whether metabolites found altered in tumor cell and tissue microenvironment are reflected in biofluids, which constitute the rationale underlying the translation of discovered metabolic biomarkers into noninvasive diagnostic tools. Finally, dominant metabolic pathways and promising metabolites as biomarkers for diagnosis and prognosis of RCC are outlined.
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Affiliation(s)
- Daniela Rodrigues
- UCIBIO/REQUIMTE, Faculty of Pharmacy, Laboratory of Toxicology, Department of Biological Sciences, University of Porto, Porto, Portugal.
| | - Márcia Monteiro
- UCIBIO/REQUIMTE, Faculty of Pharmacy, Laboratory of Toxicology, Department of Biological Sciences, University of Porto, Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology and Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute-Porto (IPO-Porto), Porto, Portugal; Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences (ICBAS), University of Porto, Porto, Portugal
| | - Rui Henrique
- Cancer Biology and Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute-Porto (IPO-Porto), Porto, Portugal; Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences (ICBAS), University of Porto, Porto, Portugal; Department of Pathology, Portuguese Oncology Institute-Porto (IPO-Porto), Porto, Portugal
| | - Luís Belo
- UCIBIO/REQUIMTE, Faculty of Pharmacy, Laboratory of Biochemistry, Department of Biological Sciences, University of Porto, Porto, Portugal
| | - Maria de Lourdes Bastos
- UCIBIO/REQUIMTE, Faculty of Pharmacy, Laboratory of Toxicology, Department of Biological Sciences, University of Porto, Porto, Portugal
| | - Paula Guedes de Pinho
- UCIBIO/REQUIMTE, Faculty of Pharmacy, Laboratory of Toxicology, Department of Biological Sciences, University of Porto, Porto, Portugal
| | - Márcia Carvalho
- UCIBIO/REQUIMTE, Faculty of Pharmacy, Laboratory of Toxicology, Department of Biological Sciences, University of Porto, Porto, Portugal; FP-ENAS (UFP Energy, Environment and Health Research Unit), CEBIMED (Biomedical Research Centre), Fernando Pessoa University, Porto, Portugal.
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31
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Time-Dependent Lactate Production and Amino Acid Utilization in Cultured Astrocytes Under High Glucose Exposure. Mol Neurobiol 2017; 55:1112-1122. [DOI: 10.1007/s12035-016-0360-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2016] [Accepted: 12/28/2016] [Indexed: 02/07/2023]
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32
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Leuthold P, Schaeffeler E, Winter S, Büttner F, Hofmann U, Mürdter TE, Rausch S, Sonntag D, Wahrheit J, Fend F, Hennenlotter J, Bedke J, Schwab M, Haag M. Comprehensive Metabolomic and Lipidomic Profiling of Human Kidney Tissue: A Platform Comparison. J Proteome Res 2017; 16:933-944. [DOI: 10.1021/acs.jproteome.6b00875] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Patrick Leuthold
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
| | - Elke Schaeffeler
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
| | - Stefan Winter
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
| | - Florian Büttner
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
| | - Ute Hofmann
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
| | - Thomas E. Mürdter
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
| | - Steffen Rausch
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
- Department
of Urology, University Hospital Tübingen, 72076 Tübingen, Germany
| | | | | | - Falko Fend
- Institute
of Pathology and Neuropathology, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Jörg Hennenlotter
- Department
of Urology, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Jens Bedke
- Department
of Urology, University Hospital Tübingen, 72076 Tübingen, Germany
| | - Matthias Schwab
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
- Department
of Clinical Pharmacology, University Hospital Tübingen, 72076 Tübingen, Germany
- Department
of Pharmacy and Biochemistry, University of Tübingen, 72076 Tübingen, Germany
| | - Mathias Haag
- Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany
- University of Tübingen, 72074 Tübingen, Germany
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Popławski P, Tohge T, Bogusławska J, Rybicka B, Tański Z, Treviño V, Fernie AR, Piekiełko-Witkowska A. Integrated transcriptomic and metabolomic analysis shows that disturbances in metabolism of tumor cells contribute to poor survival of RCC patients. Biochim Biophys Acta Mol Basis Dis 2016; 1863:744-752. [PMID: 28012969 DOI: 10.1016/j.bbadis.2016.12.011] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 12/15/2016] [Accepted: 12/20/2016] [Indexed: 10/20/2022]
Abstract
PURPOSE Cellular metabolism of renal cell carcinoma (RCC) tumors is disturbed. The clinical significance of these alterations is weakly understood. We aimed to find if changes in metabolic pathways contribute to survival of RCC patients. MATERIAL AND METHODS 35 RCC tumors and matched controls were used for metabolite profiling using gas chromatography-mass spectrometry and transcriptomic analysis with qPCR-arrays targeting the expression of 93 metabolic genes. The clinical significance of obtained data was validated on independent cohort of 468 RCC patients with median follow-up of 43.22months. RESULTS The levels of 31 metabolites were statistically significantly changed in RCC tumors compared with controls. The top altered metabolites included beta-alanine (+4.2-fold), glucose (+3.4-fold), succinate (-11.0-fold), myo-inositol (-4.6-fold), adenine (-4.2-fold), uracil (-3.7-fold), and hypoxanthine (-3.0-fold). These disturbances were associated with altered expression of 53 metabolic genes. ROC curve analysis revealed that the top metabolites discriminating between tumor and control samples included succinate (AUC=0.91), adenine (AUC=0.89), myo-inositol (AUC=0.87), hypoxanthine (AUC=0.85), urea (AUC=0.85), and beta-alanine (AUC=0.85). Poor survival of RCC patients correlated (p<0.0001) with altered expression of genes involved in metabolism of succinate (HR=2.7), purines (HR=2.4), glucose (HR=2.4), beta-alanine (HR=2.5), and myo-inositol (HR=1.9). CONCLUSIONS We found that changes in metabolism of succinate, beta-alanine, purines, glucose and myo-inositol correlate with poor survival of RCC patients.
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Affiliation(s)
- Piotr Popławski
- Centre of Postgraduate Medical Education, Department of Biochemistry and Molecular Biology, Warsaw, Poland
| | - Takayuki Tohge
- Max-Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
| | - Joanna Bogusławska
- Centre of Postgraduate Medical Education, Department of Biochemistry and Molecular Biology, Warsaw, Poland
| | - Beata Rybicka
- Centre of Postgraduate Medical Education, Department of Biochemistry and Molecular Biology, Warsaw, Poland
| | - Zbigniew Tański
- Masovian Specialist Hospital in Ostroleka, Ostroleka, Poland
| | - Victor Treviño
- Cátedra de Bioinformática, Tecnológico de Monterrey, Monterrey, Nuevo León, Mexico
| | - Alisdair R Fernie
- Max-Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany
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Dong B, Gao Y, Kang X, Gao H, Zhang J, Guo H, You MJ, Xue W, Cheng J, Huang Y. SENP1 promotes proliferation of clear cell renal cell carcinoma through activation of glycolysis. Oncotarget 2016; 7:80435-80449. [PMID: 27741516 PMCID: PMC5348332 DOI: 10.18632/oncotarget.12606] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2016] [Accepted: 10/03/2016] [Indexed: 12/28/2022] Open
Abstract
Metabolic shift toward aerobic glycolysis is a fundamental element contributing to the development and progression of clear cell renal cell carcinoma (ccRCC). We and others previously observed enhanced glycolysis and diminished tricarboxylic acid (TCA) cycle activity in ccRCC tissue. Here, by integrated gene expression and metabolomic analyses of 36 matched pairs of tumor and adjacent normal tissues, we showed that expression of Sentrin/SUMO-specific protease 1 (SENP1) is positively associated with glycolysis levels in ccRCC. Moreover, SENP1 knockdown in RCC4/VHL cells downregulated expression of key glycolytic enzymes under normoxic and hypoxic conditions and inhibited cell proliferation under hypoxic conditions, possibly due to ineffective deSUMOylation and stablization of Hif-1α related to the SENP-1 deficiency. Finally, SENP1 expression correlated positively with tumor pathological grade and was an indicator of poor overall survival and advanced tumor progression in ccRCC. Altered VHL gene function is found in 60-90% ccRCC cases of ccRCC, but therapies targeting VHL-related signaling pathways have been ineffective, spurring exploration of alternative pathological signaling events. Our results provide a possible mechanistic explanation for the role of SENP1 in the initiation and development of ccRCC with normal VHL activity, and identifies SENP1 as a potential treatment target for the disease.
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Affiliation(s)
- Baijun Dong
- Department of Urology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Yujing Gao
- Key Laboratory of Fertility Preservation and Maintenance of Ministry of Education, Department of Biochemistry and Molecular Biology, Ningxia Medical University, Yinchuan, Ningxia, China
| | - Xunlei Kang
- Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongchang Gao
- School of Pharmacy, Wenzhou Medical College, Wenzhou, China
| | - Jin Zhang
- Department of Urology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Hua Guo
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, USA
- Current address: North Shore LIJ Health System, New York, USA
| | - Mingjian J You
- Department of Hematopathology, University of Texas MD Anderson Cancer Center, Houston, USA
- The Graduate School of Biomedical Science, University of Texas MD Anderson Cancer Center, Houston, USA
| | - Wei Xue
- Department of Urology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
| | - Jinke Cheng
- Department of Biochemistry and Molecular Cell Biology, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yiran Huang
- Department of Urology, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China
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Nuclear Magnetic Resonance metabolomics reveals an excretory metabolic signature of renal cell carcinoma. Sci Rep 2016; 6:37275. [PMID: 27857216 PMCID: PMC5114559 DOI: 10.1038/srep37275] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 10/27/2016] [Indexed: 12/21/2022] Open
Abstract
RCC usually develops and progresses asymptomatically and, when detected, it is frequently at advanced stages and metastatic, entailing a dismal prognosis. Therefore, there is an obvious demand for new strategies enabling an earlier diagnosis. The importance of metabolic rearrangements for carcinogenesis unlocked a new approach for cancer research, catalyzing the increased use of metabolomics. The present study aimed the NMR metabolic profiling of RCC in urine samples from a cohort of RCC patients (n = 42) and controls (n = 49). The methodology entailed variable selection of the spectra in tandem with multivariate analysis and validation procedures. The retrieval of a disease signature was preceded by a systematic evaluation of the impacts of subject age, gender, BMI, and smoking habits. The impact of confounders on the urine metabolomics profile of this population is residual compared to that of RCC. A 32-metabolite/resonance signature descriptive of RCC was unveiled, successfully distinguishing RCC patients from controls in principal component analysis. This work demonstrates the value of a systematic metabolomics workflow for the identification of robust urinary metabolic biomarkers of RCC. Future studies should entail the validation of the 32-metabolite/resonance signature found for RCC in independent cohorts, as well as biological validation of the putative hypotheses advanced.
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Chen S, Huang Y, Sun H, Tan C, Wang K, Cai S. A heteronuclear intermolecular single-quantum coherence scheme for high-resolution 2D J-resolved 1H NMR spectra in inhomogeneous magnetic fields. Mol Phys 2016. [DOI: 10.1080/00268976.2016.1139205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Muench F, Retel J, Jeuthe S, O h-Ici D, van Rossum B, Wassilew K, Schmerler P, Kuehne T, Berger F, Oschkinat H, Messroghli DR. Alterations in creatine metabolism observed in experimental autoimmune myocarditis using ex vivo proton magic angle spinning MRS. NMR IN BIOMEDICINE 2015; 28:1625-1633. [PMID: 26768489 DOI: 10.1002/nbm.3415] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2015] [Revised: 08/18/2015] [Accepted: 08/24/2015] [Indexed: 06/05/2023]
Abstract
Experimental autoimmune myocarditis (EAM) in rodents is an accepted model of myocarditis and dilated cardiomyopathy (DCM). Altered metabolism is thought to play an important role in the pathogenesis of DCM and heart failure (HF). Study of the metabolism may provide new diagnostic information and insights into the mechanisms of myocarditis and HF. Proton MRS ((1)H-MRS) has not yet been used to study the changes occurring in myocarditis and subsequent HF. We aimed to explore the changes in creatine metabolism using this model and compare them with the findings in healthy animals. Myocardial function of male young Lewis rats with EAM was quantified by performing left ventricular ejection fraction (LVEF) analysis in short-axis cine images throughout the whole heart. Inflammatory cellular infiltrate was assessed by immunohistochemistry. Myocardial tissue was analyzed using ex vivo proton magic angle spinning MRS ((1)H-MAS-MRS). Myocarditis was confirmed histologically by the presence of an inflammatory cellular infiltrate and CD68 positive staining. A significant increase in the metabolic ratio of Tau/tCr (taurine/total creatine) obtained by (1)H-MAS-MRS was observed in myocarditis compared with healthy controls (21 d acute EAM, 4.38 (±0.23); 21 d control, 2.84 (±0.08); 35 d chronic EAM, 4.47 (±0.83); 35 d control, 2.59 (±0.38); P < 0.001). LVEF was reduced in diseased animals (EAM, 55.2% (±11.3%); control, 72.6% (±3.8%); P < 0.01) and correlated with Tau/tCr ratio (R = 0.937, P < 0.001). Metabolic alterations occur acutely with the development of myocarditis. Myocardial Tau/tCr ratio as detected by (1)H-MRS correlates with LVEF and is able to differentiate between healthy myocardium and myocardium from rats with EAM.
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Affiliation(s)
- Frédéric Muench
- German Heart Institute Berlin, Department of Congenital Heart Disease and Pediatric Cardiology, Berlin, Germany
| | - Joren Retel
- Leibniz Institute for Molecular Pharmacology, Department of NMR-Supported Structural Biology, Berlin, Germany
| | - Sarah Jeuthe
- German Heart Institute Berlin, Department of Congenital Heart Disease and Pediatric Cardiology, Berlin, Germany
| | - Darach O h-Ici
- German Heart Institute Berlin, Department of Congenital Heart Disease and Pediatric Cardiology, Berlin, Germany
| | - Barth van Rossum
- Leibniz Institute for Molecular Pharmacology, Department of NMR-Supported Structural Biology, Berlin, Germany
| | - Katharina Wassilew
- German Heart Institute Berlin, Cardiovascular Pathology, Berlin, Germany
| | - Patrick Schmerler
- Charité-University Medicine, Center for Cardiovascular Research, Berlin, Germany
| | - Titus Kuehne
- German Heart Institute Berlin, Department of Congenital Heart Disease and Pediatric Cardiology, Berlin, Germany
| | - Felix Berger
- German Heart Institute Berlin, Department of Congenital Heart Disease and Pediatric Cardiology, Berlin, Germany
| | - Hartmut Oschkinat
- Leibniz Institute for Molecular Pharmacology, Department of NMR-Supported Structural Biology, Berlin, Germany
| | - Daniel R Messroghli
- German Heart Institute Berlin, Department of Congenital Heart Disease and Pediatric Cardiology, Berlin, Germany
- German Heart Institute Berlin, Department of Internal Medicine - Cardiology, Berlin, Germany
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Abstract
Metabonomic techniques have considerable potential in the field of clinical diagnostics, typifying the application of a translational research paradigm. Care must be taken at all stages to apply appropriate methodology with accurate patient selection and profiling, and rigorous data acquisition and handling, to ensure clinical validity.An ever-increasing number of publications in a wide range of diseases and diverse patient groups suggest a variety of potential clinical uses; prospective studies in large validation cohorts are required to bring metabonomics into routine clinical practice. In this chapter, the utility of metabonomics as a diagnostic tool will be discussed.
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Affiliation(s)
- Lucy C Hicks
- Department of Medicine, Imperial College London, London, UK
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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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Yang Y, Liu Y, Zheng L, Wu T, Li J, Zhang Q, Li X, Yuan F, Wang L, Guo J. Serum metabonomic analysis of apoE−/−mice reveals progression axes for atherosclerosis based on NMR spectroscopy. ACTA ACUST UNITED AC 2014; 10:3170-8. [DOI: 10.1039/c4mb00334a] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Deja S, Dawiskiba T, Balcerzak W, Orczyk-Pawiłowicz M, Głód M, Pawełka D, Młynarz P. Follicular adenomas exhibit a unique metabolic profile. ¹H NMR studies of thyroid lesions. PLoS One 2013; 8:e84637. [PMID: 24376829 PMCID: PMC3871661 DOI: 10.1371/journal.pone.0084637] [Citation(s) in RCA: 47] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2013] [Accepted: 11/17/2013] [Indexed: 12/20/2022] Open
Abstract
Thyroid cancer is the most common endocrine malignancy. However, more than 90% of thyroid nodules are benign. It remains unclear whether thyroid carcinoma arises from preexisting benign nodules. Metabolomics can provide valuable and comprehensive information about low molecular weight compounds present in living systems and further our understanding of the biology regulating pathological processes. Herein, we applied ¹H NMR-based metabolic profiling to identify the metabolites present in aqueous tissue extracts of healthy thyroid tissue (H), non-neoplastic nodules (NN), follicular adenomas (FA) and malignant thyroid cancer (TC) as an alternative way of investigating cancer lesions. Multivariate statistical methods provided clear discrimination not only between healthy thyroid tissue and pathological thyroid tissue but also between different types of thyroid lesions. Potential biomarkers common to all thyroid lesions were identified, namely, alanine, methionine, acetone, glutamate, glycine, lactate, tyrosine, phenylalanine and hypoxanthine. Metabolic changes in thyroid cancer were mainly related to osmotic regulators (taurine and scyllo- and myo-inositol), citrate, and amino acids supplying the TCA cycle. Thyroid follicular adenomas were found to display metabolic features of benign non-neoplastic nodules and simultaneously displayed a partial metabolic profile associated with malignancy. This finding allows the discrimination of follicular adenomas from benign non-neoplastic nodules and thyroid cancer with similar accuracy. Moreover, the presented data indicate that follicular adenoma could be an individual stage of thyroid cancer development.
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Affiliation(s)
| | - Tomasz Dawiskiba
- Department of Vascular, General and Transplantation Surgery, Wrocław Medical University, Wrocław, Poland
| | - Waldemar Balcerzak
- First Department and Clinic of General, Gastroenterological and Endocrinological Surgery, Wroclaw Medical University, Wrocław, Poland
| | | | - Mateusz Głód
- First Department and Clinic of General, Gastroenterological and Endocrinological Surgery, Wroclaw Medical University, Wrocław, Poland
| | - Dorota Pawełka
- First Department and Clinic of General, Gastroenterological and Endocrinological Surgery, Wroclaw Medical University, Wrocław, Poland
| | - Piotr Młynarz
- Department of Bioorganic Chemistry Wrocław University of Technology, Wrocław, Poland
- * E-mail:
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Metabolomics insights into pathophysiological mechanisms of nephrology. Int Urol Nephrol 2013; 46:1025-30. [PMID: 24217804 DOI: 10.1007/s11255-013-0600-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2013] [Accepted: 10/31/2013] [Indexed: 01/06/2023]
Abstract
Kidney diseases (KD), a major public health problem that affects about 10 % of the general population, manifest in progressive loss of renal function, which ultimately leads to complete kidney failure. However, current approaches based on renal histopathological results and clinical parameters lack sensitivity and are not sufficient to characterize the category and progression of nephrology or to predict nephrology progression risk reliably or to guide preventive interventions. The high incidence and financial burden of KD make it imperative to diagnose KD at early stages when therapeutic interventions are far more effective. Nowadays, the appearance of metabolomics (the high-throughput measurement and analysis of metabolites) has provided the framework for a comprehensive analysis of KD and serves as a starting point for generating novel molecular diagnostic tools for use in nephrology. Changes in the concentration profiles of a number of small-molecule metabolites found in either blood or urine can be used to localize kidney damage or assess kidneys suffering from injury. The power of metabolomics allows unparalleled opportunity to query the molecular mechanisms of KD. Novel metabolomics technologies have the ability to provide a deeper understanding of the disease beyond classical histopathology, redefine the characteristics of the disease state, and identify novel approaches to reduce renal failure. This review gives an overview of its application to important areas in clinical nephrology, with a particular focus on biomarker discovery. Great strides forward are being made in breaking down important barriers to the successful prevention and treatment of this devastating disorder.
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Zhang AH, Sun H, Qiu S, Wang XJ. NMR-based metabolomics coupled with pattern recognition methods in biomarker discovery and disease diagnosis. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2013; 51:549-556. [PMID: 23828598 DOI: 10.1002/mrc.3985] [Citation(s) in RCA: 65] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2013] [Revised: 06/05/2013] [Accepted: 06/10/2013] [Indexed: 06/02/2023]
Abstract
Molecular biomarkers could detect biochemical changes associated with disease processes. The key metabolites have become an important part for improving the diagnosis, prognosis, and therapy of diseases. Because of the chemical diversity and dynamic concentration range, the analysis of metabolites remains a challenge. Assessment of fluctuations on the levels of endogenous metabolites by advanced NMR spectroscopy technique combined with multivariate statistics, the so-called metabolomics approach, has proved to be exquisitely valuable in human disease diagnosis. Because of its ability to detect a large number of metabolites in intact biological samples with isotope labeling of metabolites using nuclei such as H, C, N, and P, NMR has emerged as one of the most powerful analytical techniques in metabolomics and has dramatically improved the ability to identify low concentration metabolites and trace important metabolic pathways. Multivariate statistical methods or pattern recognition programs have been developed to handle the acquired data and to search for the discriminating features from biosample sets. Furthermore, the combination of NMR with pattern recognition methods has proven highly effective at identifying unknown metabolites that correlate with changes in genotype or phenotype. The research and clinical results achieved through NMR investigations during the first 13 years of the 21st century illustrate areas where this technology can be best translated into clinical practice. In this review, we will present several special examples of a successful application of NMR for biomarker discovery, implications for disease diagnosis, prognosis, and therapy evaluation, and discuss possible future improvements.
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Affiliation(s)
- Ai-hua Zhang
- National TCM Key Lab of Serum Pharmacochemistry, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, China
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Vermeersch KA, Styczynski MP. Applications of metabolomics in cancer research. J Carcinog 2013; 12:9. [PMID: 23858297 PMCID: PMC3709411 DOI: 10.4103/1477-3163.113622] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2013] [Accepted: 05/12/2013] [Indexed: 11/30/2022] Open
Abstract
The first discovery of metabolic changes in cancer occurred almost a century ago. While the genetic underpinnings of cancer have dominated its study since then, altered metabolism has recently been acknowledged as a key hallmark of cancer and metabolism-focused research has received renewed attention. The emerging field of metabolomics – which attempts to profile all metabolites within a cell or biological system – is now being used to analyze cancer metabolism on a system-wide scale, painting a broad picture of the altered pathways and their interactions with each other. While a large fraction of cancer metabolomics research is focused on finding diagnostic biomarkers, metabolomics is also being used to obtain more fundamental mechanistic insight into cancer and carcinogenesis. Applications of metabolomics are also emerging in areas such as tumor staging and assessment of treatment efficacy. This review summarizes contributions that metabolomics has made in cancer research and presents the current challenges and potential future directions within the field.
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Affiliation(s)
- Kathleen A Vermeersch
- School of Chemical & Biomolecular Engineering and Institute for Bioengineering & Bioscience, Georgia Institute of Technology, 311 Ferst Dr. NW, Atlanta, GA 30332-0100, USA
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Yang Y, Wang L, Wang S, Liang S, Chen A, Tang H, Chen L, Deng F. Study of metabonomic profiles of human esophageal carcinoma by use of high-resolution magic-angle spinning 1H NMR spectroscopy and multivariate data analysis. Anal Bioanal Chem 2013; 405:3381-9. [PMID: 23455688 DOI: 10.1007/s00216-013-6774-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2012] [Revised: 12/20/2012] [Accepted: 01/22/2013] [Indexed: 11/30/2022]
Abstract
Esophageal carcinoma (EC) is one of the most common malignant tumors. EC survival has remained disappointingly low because of the high malignancy of esophageal cancer and the lack of obvious clinical symptoms at an early stage. Early diagnosis is often difficult because the small tumor nodules are frequently missed. Metabonomics based on high-resolution magic-angle spinning (HRMAS) NMR has been popular for tumor detection because it is highly sensitive, provides rich biochemical information and requires no sample pretreatment. (1)H HRMAS spectra of non-involved adjacent esophageal tissues and of well differentiated and moderately differentiated esophageal carcinoma tumors were recorded and analyzed by use of multivariate and statistical analysis techniques. Moderately differentiated EC tumors were found to have increased total choline, alanine, and glutamate and reduced creatine, myo-inositol, and taurine compared with non-involved adjacent tissues. Moreover, clear differences between the metabonomic profiles of EC tissues enabled tumor differentiation. Furthermore, the integral Gly/MI ratio for samples of different tissue types were statistically significantly different; this was sufficient both for distinguishing non-involved tissues from esophageal carcinoma and for classification of well differentiated and moderately differentiated EC tumors.
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Affiliation(s)
- Yongxia Yang
- Vascular Biology Research Institute, Guangdong Pharmaceutical University, Guangzhou, China.
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Cheng HY, You HY, Zhou TB. Relationship between GSTM1/GSTT1 Null Genotypes and Renal Cell Carcinoma Risk: A Meta-Analysis. Ren Fail 2012; 34:1052-7. [PMID: 22880812 DOI: 10.3109/0886022x.2012.708380] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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