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Chen J, Zhao D, Wang Y, Liu M, Zhang Y, Feng T, Xiao C, Song H, Miao R, Xu L, Chen H, Qiu X, Xu Y, Xu J, Cui Z, Wang W, Quan Y, Zhu Y, Huang C, Zheng SG, Zhao JY, Zhu T, Sun L, Fan G. Lactylated Apolipoprotein C-II Induces Immunotherapy Resistance by Promoting Extracellular Lipolysis. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2406333. [PMID: 38981044 DOI: 10.1002/advs.202406333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2024] [Indexed: 07/11/2024]
Abstract
Mortality rates due to lung cancer are high worldwide. Although PD-1 and PD-L1 immune checkpoint inhibitors boost the survival of patients with non-small-cell lung cancer (NSCLC), resistance often arises. The Warburg Effect, which causes lactate build-up and potential lysine-lactylation (Kla), links immune dysfunction to tumor metabolism. The role of non-histone Kla in tumor immune microenvironment and immunotherapy remains to be clarified. Here, global lactylome profiling and metabolomic analyses of samples from patients with NSCLC is conducted. By combining multi-omics analysis with in vitro and in vivo validation, that intracellular lactate promotes extracellular lipolysis through lactyl-APOC2 is revealed. Mechanistically, lactate enhances APOC2 lactylation at K70, stabilizing it and resulting in FFA release, regulatory T cell accumulation, immunotherapy resistance, and metastasis. Moreover, the anti-APOC2K70-lac antibody that sensitized anti-PD-1 therapy in vivo is developed. This findings highlight the potential of anti lactyl-APOC2-K70 approach as a new combination therapy for sensitizing immunotherapeutic responses.
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Affiliation(s)
- Jian Chen
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Deping Zhao
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Yupeng Wang
- Department of General Surgery, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 200011, P. R. China
| | - Ming Liu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Yuan Zhang
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Tingting Feng
- Department of Clinical Pharmacy, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Chao Xiao
- Department of Gastrointestinal Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200040, P. R. China
| | - Huan Song
- Department of Clinical Laboratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, P. R. China
| | - Rui Miao
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Li Xu
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, 507 Zhengmin Road, Shanghai, 200433, P. R. China
| | - Hongwei Chen
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Xiaoying Qiu
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Yi Xu
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Jingxuan Xu
- Institute of Transfusion Medicine and Immunology, Mannheim Institute of Innate Immunosciences (MI3), Medical Faculty Mannheim, Heidelberg University, 68167, Mannheim, Germany
| | - Zelin Cui
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Wei Wang
- Department of Breast-thyroid Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Yanchun Quan
- Central Laboratory, Linyi People's Hospital, Shandong, 273300, P. R. China
| | - Yifeng Zhu
- Department of Internal Medicine II, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - Chen Huang
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Song Guo Zheng
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
- Department of Gastrointestinal Surgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201620, P. R. China
| | - Jian-Yuan Zhao
- Department of Immunology, School of Cell and Gene Therapy, Songjiang Research Institute, Shanghai Jiaotong University School of Medicine Affiliated Songjiang Hospital, Shanghai, 200080, P. R. China
| | - Ting Zhu
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
| | - Lianhui Sun
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
- Institute for Developmental and Regenerative Cardiovascular Medicine, MOE-Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200092, P. R. China
| | - Guangjian Fan
- Precision Research Center for Refractory Diseases, Institute for Clinical Research, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200080, P. R. China
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Meynen J, Adriaensens P, Criel M, Louis E, Vanhove K, Thomeer M, Mesotten L, Derveaux E. Plasma Metabolite Profiling in the Search for Early-Stage Biomarkers for Lung Cancer: Some Important Breakthroughs. Int J Mol Sci 2024; 25:4690. [PMID: 38731909 PMCID: PMC11083579 DOI: 10.3390/ijms25094690] [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: 03/21/2024] [Revised: 04/19/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Lung cancer is the leading cause of cancer-related mortality worldwide. In order to improve its overall survival, early diagnosis is required. Since current screening methods still face some pitfalls, such as high false positive rates for low-dose computed tomography, researchers are still looking for early biomarkers to complement existing screening techniques in order to provide a safe, faster, and more accurate diagnosis. Biomarkers are biological molecules found in body fluids, such as plasma, that can be used to diagnose a condition or disease. Metabolomics has already been shown to be a powerful tool in the search for cancer biomarkers since cancer cells are characterized by impaired metabolism, resulting in an adapted plasma metabolite profile. The metabolite profile can be determined using nuclear magnetic resonance, or NMR. Although metabolomics and NMR metabolite profiling of blood plasma are still under investigation, there is already evidence for its potential for early-stage lung cancer diagnosis, therapy response, and follow-up monitoring. This review highlights some key breakthroughs in this research field, where the most significant biomarkers will be discussed in relation to their metabolic pathways and in light of the altered cancer metabolism.
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Affiliation(s)
- Jill Meynen
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (J.M.); (M.C.); (K.V.); (L.M.)
| | - Peter Adriaensens
- Applied and Analytical Chemistry, NMR Group, Institute for Materials Research (Imo-Imomec), Hasselt University, Agoralaan 1, B-3590 Diepenbeek, Belgium;
| | - Maarten Criel
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (J.M.); (M.C.); (K.V.); (L.M.)
- Department of Respiratory Medicine, Ziekenhuis Oost-Limburg, Synaps Park 1, B-3600 Genk, Belgium;
| | - Evelyne Louis
- Department of Respiratory Medicine, University Hospital Leuven, Herestraat 49, B-3000 Leuven, Belgium;
| | - Karolien Vanhove
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (J.M.); (M.C.); (K.V.); (L.M.)
- Department of Respiratory Medicine, University Hospital Leuven, Herestraat 49, B-3000 Leuven, Belgium;
- Department of Respiratory Medicine, Algemeen Ziekenhuis Vesalius, Hazelereik 51, B-3700 Tongeren, Belgium
| | - Michiel Thomeer
- Department of Respiratory Medicine, Ziekenhuis Oost-Limburg, Synaps Park 1, B-3600 Genk, Belgium;
| | - Liesbet Mesotten
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (J.M.); (M.C.); (K.V.); (L.M.)
- Department of Nuclear Medicine, Ziekenhuis Oost-Limburg, Synaps Park 1, B-3600 Genk, Belgium
| | - Elien Derveaux
- Applied and Analytical Chemistry, NMR Group, Institute for Materials Research (Imo-Imomec), Hasselt University, Agoralaan 1, B-3590 Diepenbeek, Belgium;
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Al-Jafar R, Pinto RC, Elliott P, Tsilidis KK, Dehghan A. Metabolomics of Ramadan fasting and associated risk of chronic diseases. Am J Clin Nutr 2024; 119:1007-1014. [PMID: 38301826 PMCID: PMC11007737 DOI: 10.1016/j.ajcnut.2024.01.019] [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: 08/01/2023] [Revised: 01/18/2024] [Accepted: 01/24/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND The dramatic change in lifestyle associated with Ramadan fasting raises questions about its effect on metabolism and health. Metabolites, as the end product of metabolism, are excellent candidates to be studied in this regard. OBJECTIVE This study aims to investigate the effect of Ramadan fasting on the metabolic profile and risk of chronic diseases. METHODS The London Ramadan study (LORANS) is an observational study in which 2 blood samples were collected from 72 participants a few days before and after the fasting month of Ramadan. We conducted metabolomic profiling using nuclear magnetic resonance spectroscopy to assess the change in individual metabolites from before to after Ramadan. Also, we generated metabolic scores (scaled from 0 to 100) for 7 chronic diseases in the UK Biobank and assessed the association of Ramadan fasting with these scores in LORANS. RESULTS Of the 72 participants, 35 were male (48.6%); the mean (± standard deviation) age was 45.7 (±16) y. Ramadan fasting was associated with changes in 14 metabolites (1 inflammation marker, 1 amino acid, 2 glycolysis-related metabolites, 2 ketone bodies, 2 triglyceride, and 6 lipoprotein subclasses), independent of changes in body composition. Using data from 117,981 participants in the UK Biobank, we generated metabolic scores for diabetes, hypertension, coronary artery disease, renal failure, colorectal cancer, breast cancer, and lung cancer. The metabolic scores for lung cancer, colorectal cancer, and breast cancer were lower after Ramadan in LORANS (-4.74, 9.6%, 95% confidence interval -6.56, -2.91, P < 0.001), (-1.09, -2.4%, -1.69, -0. 50, P < 0.001), and (-0.48, -1.1%, -0. 81, -0.15, P = 0.006), respectively. CONCLUSIONS Ramadan fasting is associated with short-term favorable changes in the metabolic profile concerning risk of some chronic diseases. These findings should be further investigated in future, larger studies of longer follow-up with clinical outcomes.
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Affiliation(s)
- Rami Al-Jafar
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Data Services, Lean Business Services, Riyadh, Saudi Arabia.
| | - Rui Climaco Pinto
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Dementia Research Institute at Imperial College London, London, United Kingdom
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Dementia Research Institute at Imperial College London, London, United Kingdom; National Institute for Health Research Imperial College Biomedical Research Centre, Imperial College London, London, United Kingdom
| | - Konstantinos K Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom; Dementia Research Institute at Imperial College London, London, United Kingdom; MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
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Zyla J, Marczyk M, Prazuch W, Sitkiewicz M, Durawa A, Jelitto M, Dziadziuszko K, Jelonek K, Kurczyk A, Szurowska E, Rzyman W, Widłak P, Polanska J. Combining Low-Dose Computer-Tomography-Based Radiomics and Serum Metabolomics for Diagnosis of Malignant Nodules in Participants of Lung Cancer Screening Studies. Biomolecules 2023; 14:44. [PMID: 38254644 PMCID: PMC10813699 DOI: 10.3390/biom14010044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/24/2024] Open
Abstract
Radiomics is an emerging approach to support the diagnosis of pulmonary nodules detected via low-dose computed tomography lung cancer screening. Serum metabolome is a promising source of auxiliary biomarkers that could help enhance the precision of lung cancer diagnosis in CT-based screening. Thus, we aimed to verify whether the combination of these two techniques, which provides local/morphological and systemic/molecular features of disease at the same time, increases the performance of lung cancer classification models. The collected cohort consists of 1086 patients with radiomic and 246 patients with serum metabolomic evaluations. Different machine learning techniques, i.e., random forest and logistic regression were applied for each omics. Next, model predictions were combined with various integration methods to create a final model. The best single omics models were characterized by an AUC of 83% in radiomics and 60% in serum metabolomics. The model integration only slightly increased the performance of the combined model (AUC equal to 85%), which was not statistically significant. We concluded that radiomics itself has a good ability to discriminate lung cancer from benign lesions. However, additional research is needed to test whether its combination with other molecular assessments would further improve the diagnosis of screening-detected lung nodules.
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Affiliation(s)
- Joanna Zyla
- Department of Data Science and Engineering, Silesian University of Technology, 44-100 Gliwice, Poland; (J.Z.); (W.P.); (J.P.)
| | - Michal Marczyk
- Department of Data Science and Engineering, Silesian University of Technology, 44-100 Gliwice, Poland; (J.Z.); (W.P.); (J.P.)
- Yale Cancer Center, Yale School of Medicine, New Haven, CT 06510, USA
| | - Wojciech Prazuch
- Department of Data Science and Engineering, Silesian University of Technology, 44-100 Gliwice, Poland; (J.Z.); (W.P.); (J.P.)
| | - Magdalena Sitkiewicz
- Department of Thoracic Surgery, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.S.); (A.D.); (W.R.)
| | - Agata Durawa
- Department of Thoracic Surgery, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.S.); (A.D.); (W.R.)
| | - Malgorzata Jelitto
- 2nd Department of Radiology, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.J.); (K.D.); (E.S.); (P.W.)
| | - Katarzyna Dziadziuszko
- 2nd Department of Radiology, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.J.); (K.D.); (E.S.); (P.W.)
| | - Karol Jelonek
- Center for Translational Research and Molecular Biology of Cancer, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-100 Gliwice, Poland;
| | - Agata Kurczyk
- Department of Biostatistics and Bioinformatics, Maria Sklodowska-Curie National Research Institute of Oncology, Gliwice Branch, 44-100 Gliwice, Poland;
| | - Edyta Szurowska
- 2nd Department of Radiology, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.J.); (K.D.); (E.S.); (P.W.)
| | - Witold Rzyman
- Department of Thoracic Surgery, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.S.); (A.D.); (W.R.)
| | - Piotr Widłak
- 2nd Department of Radiology, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.J.); (K.D.); (E.S.); (P.W.)
| | - Joanna Polanska
- Department of Data Science and Engineering, Silesian University of Technology, 44-100 Gliwice, Poland; (J.Z.); (W.P.); (J.P.)
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Xu H, Wang X, Xu X, Liu L, Zhang Y, Yan X, Zhang Y, Dang K, Li Y. Association of plasma branched-chain amino acid with multiple cancers: A mendelian randomization analysis. Clin Nutr 2023; 42:2493-2502. [PMID: 37922693 DOI: 10.1016/j.clnu.2023.10.019] [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: 05/09/2023] [Revised: 10/08/2023] [Accepted: 10/17/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Studies have suggested a possible relevance between branched-chain amino acid (BCAA) catabolic enzymes and cancers. However, few studies have explored the variation in circulating concentrations of BCAAs. Our study used bi-directional, two-sample Mendelian randomization (MR) analysis for predicting the causality between the BCAA levels and 9 types of cancers. METHODS The largest genome-wide association studies (GWAS) provided data for total BCAAs, valine, leucine, and isoleucine from the UK Biobank. Data on multiple cancer endpoints were collected from various sources, such as the International Lung Cancer Consortium (ILCCO), the Pancreatic Cancer Cohort Consortium 1 (PanScan1), the Breast Cancer Association Consortium (BCAC), the FinnGen Biobank, and the Ovarian Cancer National Alliance (OCAC). The mainly analysis method was the inverse-variance-weighted (IVW). For assessing horizontal pleiotropy, the researchers performed MR-Egger regression and MR-PRESSO global test. Finally, the Cochran's Q test served for evaluating the heterogeneity. RESULTS Circulating total BCAAs levels (OR 1.708, 95%CI 1.168, 2.498; p = 0.006), valine levels (OR 1.747, 95%CI 1.217, 2.402; p < 0.001), leucine levels (OR 1.923, 95%CI 1.279, 2.890; p = 0.002) as well as isoleucine levels (OR 1.898, 95%CI 1.164, 3.094; p = 0.010) positively correlated with the squamous cell lung cancer risk. Nevertheless, no compelling evidence was found to support a causal link between BCAAs and any other examined cancers. CONCLUSIONS Increased circulating total-BCAAs levels, leucine levels, isoleucine levels and valine levels had higher hazard of squamous cell lung cancer. No such associations were found for BCAAs with other cancers.
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Affiliation(s)
- Huan Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China; The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xuanyang Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Xiaoqing Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Lin Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Yuntao Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Xuemin Yan
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Yingfeng Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Keke Dang
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China
| | - Ying Li
- Department of Nutrition and Food Hygiene, School of Public Health, Harbin Medical University, Harbin, China.
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Almalki AH. Recent Analytical Advances for Decoding Metabolic Reprogramming in Lung Cancer. Metabolites 2023; 13:1037. [PMID: 37887362 PMCID: PMC10609104 DOI: 10.3390/metabo13101037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Revised: 09/10/2023] [Accepted: 09/12/2023] [Indexed: 10/28/2023] Open
Abstract
Lung cancer is the leading cause of cancer-related death worldwide. Metabolic reprogramming is a fundamental trait associated with lung cancer development that fuels tumor proliferation and survival. Monitoring such metabolic pathways and their intermediate metabolites can provide new avenues concerning treatment strategies, and the identification of prognostic biomarkers that could be utilized to monitor drug responses in clinical practice. In this review, recent trends in the analytical techniques used for metabolome mapping of lung cancer are capitalized. These techniques include nuclear magnetic resonance (NMR), gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), and imaging mass spectrometry (MSI). The advantages and limitations of the application of each technique for monitoring the metabolite class or type are also highlighted. Moreover, their potential applications in the analysis of many biological samples will be evaluated.
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Affiliation(s)
- Atiah H. Almalki
- Department of Pharmaceutical Chemistry, College of Pharmacy, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia;
- Addiction and Neuroscience Research Unit, Health Science Campus, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
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Xu Y, Dong X, Qin C, Wang F, Cao W, Li J, Yu Y, Zhao L, Tan F, Chen W, Li N, He J. Metabolic biomarkers in lung cancer screening and early diagnosis (Review). Oncol Lett 2023; 25:265. [PMID: 37216157 PMCID: PMC10193366 DOI: 10.3892/ol.2023.13851] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 03/29/2023] [Indexed: 05/24/2023] Open
Abstract
Late diagnosis is one of the major contributing factors to the high mortality rate of lung cancer, which is now the leading cause of cancer-associated mortality worldwide. At present, low-dose CT (LDCT) screening in the high-risk population, in which lung cancer incidence is higher than that of the low-risk population is the predominant diagnostic strategy. Although this has efficiently reduced lung cancer mortality in large randomized trials, LDCT screening has high false-positive rates, resulting in excessive subsequent follow-up procedures and radiation exposure. Complementation of LDCT examination with biofluid-based biomarkers has been documented to increase efficacy, and this type of preliminary screening can potentially reduce potential radioactive damage to low-risk populations and the burden of hospital resources. Several molecular signatures based on components of the biofluid metabolome that can possibly discriminate patients with lung cancer from healthy individuals have been proposed over the past two decades. In the present review, advancements in currently available technologies in metabolomics were reviewed, with particular focus on their possible application in lung cancer screening and early detection.
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Affiliation(s)
- Yongjie Xu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Xuesi Dong
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Chao Qin
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Fei Wang
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Wei Cao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Jiang Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Yiwen Yu
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Liang Zhao
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Fengwei Tan
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Wanqing Chen
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
| | - Jie He
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, P.R. China
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Novel thermal synthesis of ternary Cu-CuO-Cu2O nanospheres supported on reduced graphene oxide for the sensitive non-enzymatic electrochemical detection of pyruvic acid as a cancer biomarker. J Organomet Chem 2023. [DOI: 10.1016/j.jorganchem.2023.122638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
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Zhang Y, Cheng Y, Qin L, Liu Y, Huang S, Dai L, Tao J, Pan J, Su C, Zhang Y. Plasma metabolomics for the assessment of the progression of non-small cell lung cancer. Int J Biol Markers 2022; 38:37-45. [PMID: 36377344 DOI: 10.1177/03936155221137359] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Objectives Non-small cell lung cancer (NSCLC) is a leading type of lung cancer with a high mortality rate worldwide. Although many procedures for the diagnosis and prognosis assessment of lung cancer exist, they are often laborious, expensive, and invasive. This study aimed to develop an ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC–MS/MS)-based analysis method for the plasma biomarkers of NSCLC with the potential to indicate the stages and progression of this malignancy conveniently and reliably. Methods A total of 53 patients with NSCLC in early stages (I–III) and advanced stage (IV) were classified into the early and advanced groups based on the tumor node metastasis staging system. A comprehensive metabolomic analysis of plasma from patients with NSCLC was performed via UPLC–MS/MS. Principal component analysis and partial least squares–discriminant analysis were conducted for statistical analysis. Potential biomarkers were evaluated and screened through receiver operating characteristic analyses and correlation analysis. Main differential metabolic pathways were also identified by utilizing metaboanalyst. Results A total of 129 differential metabolites were detected in accordance with the criteria of VIP ≥ 1 and a P-value of ≤ 0.05. The receiver operating characteristic curves indicated that 11 of these metabolites have the potential to be promising markers of disease progression. Apparent correlated metabolites were also filtered out. Furthermore, the 11 most predominant metabolic pathways with alterations involved in NSCLC were identified. Conclusion Our study focused on the plasma metabolomic changes in patients with NSCLC. These changes may be used for the prediction of the stage and progression of NSCLC. Moreover, we discussed the metabolic pathways wherein the altered metabolites were mainly enriched.
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Affiliation(s)
- Yingtian Zhang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Yaping Cheng
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Liqiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Soochow University, Suzhou, Jiangsu, PR China
| | - Yuanliang Liu
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Sijia Huang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Liya Dai
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Jialong Tao
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Jie Pan
- Department of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Cunjin Su
- Department of Pharmacy, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
| | - Yusong Zhang
- Department of Oncology, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, PR China
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10
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Vanhove K, Derveaux E, Mesotten L, Thomeer M, Criel M, Mariën H, Adriaensens P. Unraveling the Rewired Metabolism in Lung Cancer Using Quantitative NMR Metabolomics. Int J Mol Sci 2022; 23:ijms23105602. [PMID: 35628415 PMCID: PMC9146819 DOI: 10.3390/ijms23105602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 05/14/2022] [Accepted: 05/15/2022] [Indexed: 11/16/2022] Open
Abstract
Lung cancer cells are well documented to rewire their metabolism and energy production networks to enable proliferation and survival in a nutrient-poor and hypoxic environment. Although metabolite profiling of blood plasma and tissue is still emerging in omics approaches, several techniques have shown potential in cancer diagnosis. In this paper, the authors describe the alterations in the metabolic phenotype of lung cancer patients. In addition, we focus on the metabolic cooperation between tumor cells and healthy tissue. Furthermore, the authors discuss how metabolomics could improve the management of lung cancer patients.
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Affiliation(s)
- Karolien Vanhove
- Applied and Analytical Chemistry, Institute for Materials Research, Hasselt University, Agoralaan 1-Building D, B-3590 Diepenbeek, Belgium;
- Department of Respiratory Medicine, AZ Vesalius, Hazelereik 51, B-3700 Tongeren, Belgium
- Correspondence:
| | - Elien Derveaux
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (E.D.); (H.M.)
| | - Liesbet Mesotten
- Department of Nuclear Medicine, Ziekenhuis Oost-Limburg, Schiepse Bos 6, B-3600 Genk, Belgium;
| | - Michiel Thomeer
- Department of Respiratory Medicine, Ziekenhuis Oost-Limburg, Schiepse Bos 6, B-3600 Genk, Belgium; (M.T.); (M.C.)
| | - Maarten Criel
- Department of Respiratory Medicine, Ziekenhuis Oost-Limburg, Schiepse Bos 6, B-3600 Genk, Belgium; (M.T.); (M.C.)
| | - Hanne Mariën
- Faculty of Medicine and Life Sciences, Hasselt University, Martelarenlaan 42, B-3500 Hasselt, Belgium; (E.D.); (H.M.)
| | - Peter Adriaensens
- Applied and Analytical Chemistry, Institute for Materials Research, Hasselt University, Agoralaan 1-Building D, B-3590 Diepenbeek, Belgium;
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11
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Nava GM, Madrigal Perez LA. Metabolic profile of the Warburg effect as a tool for molecular prognosis and diagnosis of cancer. Expert Rev Mol Diagn 2022; 22:439-447. [PMID: 35395916 DOI: 10.1080/14737159.2022.2065196] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
INTRODUCTION Adaptations of eukaryotic cells to environmental changes are important for their survival. However, under some circumstances, microenvironmental changes promote that eukaryotic cells utilize a metabolic signature resembling a unicellular organism named the Warburg effect. Most cancer cells share the Warburg effect displaying lactic fermentation and high glucose uptake. The Warburg effect also induces a metabolic rewiring stimulating glutamine consumption and lipid synthesis, also considered cancer hallmarks. Amino acid metabolism alteration due to the Warburg effect increases plasma levels of proline and branched-chain amino acids in several cancer types. Proline and lipids are probably used as electron transfer molecules in carcinogenic cells. In addition, branched-chain amino acids fuel the Krebs cycle, protein synthesis, and signaling in cancer cells. AREAS COVERED This review covers how metabolomics studies describe changes in some metabolites and proteins associated with the Warburg effect and related metabolic pathways. EXPERT OPINION In this review, we analyze the metabolic signature of the Warburg effect and related phenotypes and propose some Warburg effect-related metabolites and proteins (lactate, glucose uptake, glucose transporters, glutamine, branched-chain amino acids, proline, and some lipogenic enzymes) as promising cancer biomarkers.
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Affiliation(s)
- Gerardo M Nava
- Universidad Autónoma de Querétaro, Cerro de las Campanas, Santiago de Querétaro, Qro, 76010, México
| | - Luis Alberto Madrigal Perez
- Tecnológico Nacional de México/ Instituto Tecnológico Superior de Ciudad Hidalgo, Av. Ing. Carlos Rojas Gutiérrez #2120, Ciudad Hidalgo, Michoacán, 61100, México
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12
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Liu Z, Li Y, Li C, Lei G, Zhou L, Chen X, Jia X, Lu Y. Intestinal Candida albicans Promotes Hepatocarcinogenesis by Up-Regulating NLRP6. Front Microbiol 2022; 13:812771. [PMID: 35369462 PMCID: PMC8964356 DOI: 10.3389/fmicb.2022.812771] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/19/2022] [Indexed: 12/17/2022] Open
Abstract
Hepatocellular carcinoma (HCC), a primary liver cancer, is closely associated with the gut microbiota. However, the role of gut fungi in the development of HCC remains unclear. The aim of this study was to explore the influence of intestinal Candida albicans on HCC. Here, We found that patients with HCC showed significantly decreased diversity of the gut mycobiome and increased abundance of C. albicans, compared to the patients with liver cirrhosis. The gavage of C. albicans in the WT models increased the tumor size and weight and influenced the plasma metabolome, which was indicated by alterations in 117 metabolites, such as L-carnitine and L-acetylcarnitine, and several KEGG enriched pathways, such as phenylalanine metabolism and citrate cycle. Moreover, the expression of nucleotide oligomerization domain-like receptor family pyrin domain containing 6 (NLRP6) in the intestinal tissues and primary intestinal epithelial cells of the WT mice interacted with C. albicans increased. Notably, the colonization of C. albicans had no effect on tumor growth in Nlrp6–/– mice. In conclusion, the abnormal colonization of C. albicans reprogrammed HCC metabolism and contributed to the progression of HCC dependent on NLRP6, which provided new targets for the treatment of HCC.
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Affiliation(s)
- Zherui Liu
- Peking University 302 Clinical Medical School, Beijing, China.,Senior Department of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yinyin Li
- Senior Department of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Chen Li
- Senior Department of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Guanglin Lei
- Senior Department of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Lin Zhou
- Senior Department of Oncology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xiangling Chen
- Senior Department of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Xiaodong Jia
- Senior Department of Oncology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
| | - Yinying Lu
- Peking University 302 Clinical Medical School, Beijing, China.,Senior Department of Hepatology, Fifth Medical Center of Chinese PLA General Hospital, Beijing, China
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13
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Sun L, Cui Z, Huang S, Xue Q, Rehman SU, Luo X, Shi D, Li X. Effect of environmental temperature on semen quality and seminal plasma metabolites of Mediterranean buffalo bulls. Anim Biotechnol 2022; 33:970-980. [PMID: 35352620 DOI: 10.1080/10495398.2022.2056045] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
High-quality semen with high viability is critical to improving the in-vitro fertilization efficiency. This study aimed to understand the effect of ambient temperature and humidity on semen quality and seminal plasma biochemical parameters of Mediterranean buffalo in March and July. The metabolites of seminal plasma in two seasons were detected using the UPLC-MS/MS method. The results showed that temperature and humidity index (THI) in March were 66.86 ± 2.98, and 82.94 ± 3.52 in July. Compared with in March, breath frequency, rectal temperature, and heat shock protein 70 expressions of seminal plasma were significantly increased in July (p < 0.05), motility of sperm was dramatically reduced, and sperm deformity rate was significantly increased (p < 0.05). Fructose, acid phosphatase and α-glucosidase in seminal plasma were significantly increased (p < 0.05) in July, while testosterone level was significantly reduced (p < 0.05). Six different metabolites were found in the two groups, which involved in three metabolic pathways, the tricarboxylic acid cycle, glycerophospholipid, glyoxylic acid and dicarboxylic acid. The above results indicate that the increased ambient temperature has obvious side effects on the semen quality of Mediterranean buffalo, and the compromised quality is associated with the change of metabolites related to male hormone secretion, energy metabolism and fatty acid oxidation.
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Affiliation(s)
- Le Sun
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, P. R. China
| | - Zhichao Cui
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, P. R. China
| | - Shihai Huang
- College of Life Science and Technology, Guangxi University, Nanning, P. R. China
| | - Qingsong Xue
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, P. R. China
| | - Saif Ur Rehman
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, P. R. China
| | - Xi Luo
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, P. R. China
| | - Deshun Shi
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, P. R. China
| | - Xiangping Li
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi University, Nanning, P. R. China
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14
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Singh A, Prakash V, Gupta N, Kumar A, Kant R, Kumar D. Serum Metabolic Disturbances in Lung Cancer Investigated through an Elaborative NMR-Based Serum Metabolomics Approach. ACS OMEGA 2022; 7:5510-5520. [PMID: 35187366 PMCID: PMC8851899 DOI: 10.1021/acsomega.1c06941] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/18/2022] [Indexed: 06/01/2023]
Abstract
Detection of metabolic disturbances in lung cancer (LC) has the potential to aid early diagnosis/prognosis and hence improve disease management strategies through reliable grading, staging, and determination of neoadjuvant status in LC. However, a majority of previous metabolomics studies compare the normalized spectral features which not only provide ambiguous information but further limit the clinical translation of this information. Various such issues can be resolved by performing the concentration profiling of various metabolites with respect to formate as an internal reference using commercial software Chenomx. Continuing our efforts in this direction, the serum metabolic profiles were measured on 39 LC patients and 42 normal controls (NCs, comparable in age/sex) using high-field 800 MHz NMR spectroscopy and compared using multivariate statistical analysis tools to identify metabolic disturbances and metabolites of diagnostic potential. Partial least-squares discriminant analysis (PLS-DA) model revealed a distinct separation between LC and NC groups and resulted in excellent discriminatory ability with the area under the receiver-operating characteristic (AUROC) = 0.97 [95% CI = 0.89-1.00]. The metabolic features contributing to the differentiation of LC from NC samples were identified first using variable importance in projection (VIP) score analysis and then checked for their statistical significance (with p-value < 0.05) and diagnostic potential using the ROC curve analysis. The analysis revealed relevant metabolic disturbances associated with LC. Among various circulatory metabolites, six metabolites, including histidine, glutamine, glycine, threonine, alanine, and valine, were found to be of apposite diagnostic potential for clinical implications. These metabolic alterations indicated altered glucose metabolism, aberrant fatty acid synthesis, and augmented utilization of various amino acids including active glutaminolysis in LC.
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Affiliation(s)
- Anjana Singh
- All
India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand 249201, India
- Pulmonary
& Critical Care Medicine, King George’s
Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Ved Prakash
- Pulmonary
& Critical Care Medicine, King George’s
Medical University, Lucknow, Uttar Pradesh 226003, India
| | - Nikhil Gupta
- Centre
of Biomedical Research (CBMR), SGPGIMS, Lucknow, Uttar Pradesh 226014, India
- Department
of Chemistry, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India
| | - Ashish Kumar
- Department
of Chemistry, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India
| | - Ravi Kant
- All
India Institute of Medical Sciences (AIIMS), Rishikesh, Uttarakhand 249201, India
| | - Dinesh Kumar
- Centre
of Biomedical Research (CBMR), SGPGIMS, Lucknow, Uttar Pradesh 226014, India
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15
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Urinary Mass Spectrometry Profiles in Age-Related Macular Degeneration. J Clin Med 2022; 11:jcm11040940. [PMID: 35207212 PMCID: PMC8874679 DOI: 10.3390/jcm11040940] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 02/01/2022] [Accepted: 02/07/2022] [Indexed: 02/05/2023] Open
Abstract
We and others have shown that patients with different severity stages of age-related macular degeneration (AMD) have distinct plasma metabolomic profiles compared to controls. Urine is a biofluid that can be obtained non-invasively and, in other fields, urine metabolomics has been proposed as a feasible alternative to plasma biomarkers. However, no studies have applied urinary mass spectrometry (MS) metabolomics to AMD. This study aimed to assess urinary metabolomic profiles of patients with different stages of AMD and a control group. We included two prospectively designed, multicenter, cross-sectional study cohorts: Boston, US (n = 185) and Coimbra, Portugal (n = 299). We collected fasting urine samples, which were used for metabolomic profiling (Ultrahigh Performance Liquid chromatography—Mass Spectrometry). Multivariable logistic and ordinal logistic regression models were used for analysis, accounting for gender, age, body mass index and use of AREDS supplementation. Results from both cohorts were then meta-analyzed. No significant differences in urine metabolites were seen when comparing patients with AMD and controls. When disease severity was considered as an outcome, six urinary metabolites differed significantly (p < 0.01). In particular, two of the metabolites identified have been previously shown by our group to also differ in the plasma of patients of AMD compared to controls and across severity stages. While there are fewer urinary metabolites associated with AMD than plasma metabolites, this study identified some differences across stages of disease that support previous work performed with plasma, thus highlighting the potential of these metabolites as future biomarkers for AMD.
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16
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Yao J, Liu N, Li N, Li X, Hua X. Different metabolomic responses of grass carp (Ctenopharyngodon idellus) to dietary tannin and rapeseed meal. AQUACULTURE AND FISHERIES 2022. [DOI: 10.1016/j.aaf.2020.06.002] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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17
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Cai C, Liu Y, Li J, Wang L, Zhang K. Serum fingerprinting by slippery liquid-infused porous SERS for non-invasive lung cancer detection. Analyst 2022; 147:4426-4432. [DOI: 10.1039/d2an01325h] [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
Direct and label-free analysis of clinical serum samples using slippery liquid-infused porous-enhanced Raman spectroscopy (SLIPSERS) enables the rapid non-invasive identification of lung cancer.
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Affiliation(s)
- Chenlei Cai
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Yujie Liu
- Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Jiayu Li
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Lei Wang
- Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Kun Zhang
- Shanghai Institute for Pediatric Research, Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
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18
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Pedersen S, Hansen JB, Maltesen RG, Szejniuk WM, Andreassen T, Falkmer U, Kristensen SR. Identifying metabolic alterations in newly diagnosed small cell lung cancer patients. Metabol Open 2021; 12:100127. [PMID: 34585134 PMCID: PMC8455369 DOI: 10.1016/j.metop.2021.100127] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/07/2021] [Accepted: 09/14/2021] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND Small cell lung cancer (SCLC) is a malignant disease with poor prognosis. At the time of diagnosis most patients are already in a metastatic stage. Current diagnosis is based on imaging, histopathology, and immunohistochemistry, but no blood-based biomarkers have yet proven to be clinically successful for diagnosis and screening. The precise mechanisms of SCLC are not fully understood, however, several genetic mutations, protein and metabolic aberrations have been described. We aim at identifying metabolite alterations related to SCLC and to expand our knowledge relating to this aggressive cancer. METHODS A total of 30 serum samples of patients with SCLC, collected at the time of diagnosis, and 25 samples of healthy controls were included in this study. The samples were analyzed with nuclear magnetic resonance spectroscopy. Multivariate, univariate and pathways analyses were performed. RESULTS Several metabolites were identified to be altered in the pre-treatment serum samples of small-cell lung cancer patients compared to healthy individuals. Metabolites involved in tricarboxylic acid cycle (succinate: fold change (FC) = 2.4, p = 0.068), lipid metabolism (LDL triglyceride: FC = 1.3, p = 0.001; LDL-1 triglyceride: FC = 1.3, p = 0.012; LDL-2 triglyceride: FC = 1.4, p = 0.009; LDL-6 triglyceride: FC = 1.5, p < 0.001; LDL-4 cholesterol: FC = 0.5, p = 0.007; HDL-3 free cholesterol: FC = 0.7, p = 0.002; HDL-4 cholesterol FC = 0.8, p < 0.001; HDL-4 apolipoprotein-A1: FC = 0.8, p = 0.005; HDL-4 apolipoprotein-A2: FC ≥ 0.7, p ≤ 0.001), amino acids (glutamic acid: FC = 1.7, p < 0.001; glutamine: FC = 0.9, p = 0.007, leucine: FC = 0.8, p < 0.001; isoleucine: FC = 0.8, p = 0.016; valine: FC = 0.9, p = 0.032; lysine: FC = 0.8, p = 0.004; methionine: FC = 0.8, p < 0.001; tyrosine: FC = 0.7, p = 0.002; creatine: FC = 0.9, p = 0.030), and ketone body metabolism (3-hydroxybutyric acid FC = 2.5, p < 0.001; acetone FC = 1.6, p < 0.001), among other, were found deranged in SCLC. CONCLUSIONS This study provides novel insight into the metabolic disturbances in pre-treatment SCLC patients, expanding our molecular understanding of this malignant disease.
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Affiliation(s)
- Shona Pedersen
- Department of Basic Medical Science, College of Medicine, Qatar University, QU Health, Doha, Qatar
| | | | - Raluca Georgiana Maltesen
- Translational Radiation Biology and Oncology Laboratory, Centre for Cancer Research, Westmead Institute of Medical Research, Westmead, 2145, Australia
| | - Weronika Maria Szejniuk
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Oncology, Aalborg University Hospital, Aalborg, Denmark
| | - Trygve Andreassen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ursula Falkmer
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Oncology, Aalborg University Hospital, Aalborg, Denmark
| | - Søren Risom Kristensen
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
- Department of Clinical Biochemistry, Aalborg University Hospital, Aalborg, Denmark
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19
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Yu M, Sun R, Zhao Y, Shao F, Zhu W, Aa J. Detection and verification of coexisting diagnostic markers in plasma and serum of patients with non-small-cell lung cancer. Future Oncol 2021; 17:4355-4369. [PMID: 34674559 DOI: 10.2217/fon-2021-0025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Aim: To screen and identify the potential biomarkers co-existing in plasma and serum of patients with non-small-cell lung cancer (NSCLC), and establish appropriate diagnostic models. Methods: A cohort of 195 plasma samples and 180 serum samples were obtained from healthy controls (HCs), adenocarcinoma (AdC) and squamous cell carcinoma (SqCC) patients enrolled from the First Affiliated Hospital of Nanjing Medical University. Metabolites in plasma and serum were analyzed by GC-MS. Results: Hypoxanthine was found to have good performance in the differential diagnosis of NSCLC (including AdC and SqCC) and HC (area under the receiver operating characteristic [AUROC] ≥0.85). Combinations of metabolites could be used for differential diagnosis of NSCLC and HC (AUROC >0.93), AdC and HC (AUROC >0.91), SqCC and HC (AUROC >0.95), AdC and SqCC (AUROC >0.72). Conclusions: Metabolomics based on GC-MS can screen and identify the differential metabolites coexisting in plasma and serum of patients with NSCLC, and prediction models established by this method can be used for the differential diagnosis of patients with NSCLC.
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Affiliation(s)
- Mengjie Yu
- Key Laboratory of Drug Metabolism & Pharmacokinetics, China Pharmaceutical University, Nanjing, Jiangsu Province 210009, China
| | - Runbin Sun
- Key Laboratory of Drug Metabolism & Pharmacokinetics, China Pharmaceutical University, Nanjing, Jiangsu Province 210009, China
| | - Yuqing Zhao
- Phase I Clinical Trial Unit, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Feng Shao
- Phase I Clinical Trial Unit, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Wei Zhu
- Department of Oncology, The First Affiliated Hospital of Nanjing Medical University, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Jiye Aa
- Key Laboratory of Drug Metabolism & Pharmacokinetics, China Pharmaceutical University, Nanjing, Jiangsu Province 210009, China
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20
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Detection of Lung Cancer via Blood Plasma and 1H-NMR Metabolomics: Validation by a Semi-Targeted and Quantitative Approach Using a Protein-Binding Competitor. Metabolites 2021; 11:metabo11080537. [PMID: 34436478 PMCID: PMC8401204 DOI: 10.3390/metabo11080537] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 08/06/2021] [Accepted: 08/10/2021] [Indexed: 01/03/2023] Open
Abstract
Metabolite profiling of blood plasma, by proton nuclear magnetic resonance (1H-NMR) spectroscopy, offers great potential for early cancer diagnosis and unraveling disruptions in cancer metabolism. Despite the essential attempts to standardize pre-analytical and external conditions, such as pH or temperature, the donor-intrinsic plasma protein concentration is highly overlooked. However, this is of utmost importance, since several metabolites bind to these proteins, resulting in an underestimation of signal intensities. This paper describes a novel 1H-NMR approach to avoid metabolite binding by adding 4 mM trimethylsilyl-2,2,3,3-tetradeuteropropionic acid (TSP) as a strong binding competitor. In addition, it is demonstrated, for the first time, that maleic acid is a reliable internal standard to quantify the human plasma metabolites without the need for protein precipitation. Metabolite spiking is further used to identify the peaks of 62 plasma metabolites and to divide the 1H-NMR spectrum into 237 well-defined integration regions, representing these 62 metabolites. A supervised multivariate classification model, trained using the intensities of these integration regions (areas under the peaks), was able to differentiate between lung cancer patients and healthy controls in a large patient cohort (n = 160), with a specificity, sensitivity, and area under the curve of 93%, 85%, and 0.95, respectively. The robustness of the classification model is shown by validation in an independent patient cohort (n = 72).
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21
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Serum Metabolite Profiles in Participants of Lung Cancer Screening Study; Comparison of Two Independent Cohorts. Cancers (Basel) 2021; 13:cancers13112714. [PMID: 34072693 PMCID: PMC8198431 DOI: 10.3390/cancers13112714] [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: 04/07/2021] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 12/27/2022] Open
Abstract
Serum metabolome is a promising source of molecular biomarkers that could support early detection of lung cancer in screening programs based on low-dose computed tomography. Several panels of metabolites that differentiate lung cancer patients and healthy individuals were reported, yet none of them were validated in the population at high-risk of developing cancer. Here we analyzed serum metabolome profiles in participants of two lung cancer screening studies: MOLTEST-BIS (Poland, n = 369) and SMAC-1 (Italy, n = 93). Three groups of screening participants were included: lung cancer patients, individuals with benign pulmonary nodules, and those without any lung alterations. Concentrations of about 400 metabolites (lipids, amino acids, and biogenic amines) were measured by a mass spectrometry-based approach. We observed a reduced level of lipids, in particular cholesteryl esters, in sera of cancer patients from both studies. Despite several specific compounds showing significant differences between cancer patients and healthy controls within each study, only a few cancer-related features were common when both cohorts were compared, which included a reduced concentration of lysophosphatidylcholine LPC (18:0). Moreover, serum metabolome profiles in both noncancer groups were similar, and differences between cancer patients and both groups of healthy participants were comparable. Large heterogeneity in levels of specific metabolites was observed, both within and between cohorts, which markedly impaired the accuracy of classification models: The overall AUC values of three-state classifiers were 0.60 and 0.51 for the test (MOLTEST) and validation (SMAC) cohorts, respectively. Therefore, a hypothetical metabolite-based biomarker for early detection of lung cancer would require adjustment to lifestyle-related confounding factors that putatively affect the composition of serum metabolome.
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22
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Luo W, Jia L, Zhang JW, Wang DJ, Ren Q, Zhang W. Andrographolide Against Lung Cancer-New Pharmacological Insights Based on High-Throughput Metabolomics Analysis Combined with Network Pharmacology. Front Pharmacol 2021; 12:596652. [PMID: 33967748 PMCID: PMC8097142 DOI: 10.3389/fphar.2021.596652] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 03/29/2021] [Indexed: 12/15/2022] Open
Abstract
Andrographolide (Andro) has known to treat various illnesses such as colds, diarrhea, fever and infectious diseases. However, the effect mechanism of Andro is still unclear. Therefore, we used high-throughput metabolomics analysis to discover biomarkers, metabolic profiles and pathways to reveal the pharmacological action and effective mechanism of Andro against lung cancer. The metabolic effects of Andro on lung cancer animal was explored by ultra-performance liquid chromatography-triple-time of flight/mass spectrometry (UPLC-TOF/MS) analysis. Our results showed that Andro exhibited significant protective effects against lung cancer. Compared with control group, a total of 25 metabolites biomarkers was identified in urine of model animals, which 18 of them were regulated toward the normal direction after Andro treatment, and network pharmacology analysis showed that they were related with 570 proteins. Biological pathways analysis showed that the 11 metabolism pathways were regulated by Andro treatment in lung cancer mouse, and amino acid metabolism and arachidonic acid metabolism have great potential as target pathways for Andro against lung cancer. It revealed that high-throughput metabolomics combined with network pharmacology analysis provides deeply insight into the therapeutic mechanisms of natural product for promoting medicine development and disease treatment.
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Affiliation(s)
- Wen Luo
- Respiratory Department, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, Shenzhen, China
- Department of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Li Jia
- Department of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Jia-Wen Zhang
- Department of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Dong-Jie Wang
- Department of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Qiu Ren
- Department of Respiratory Medicine, Heilongjiang Provincial Hospital, Harbin, China
| | - Wei Zhang
- Department of Respiratory and Critical Care, First Affiliated Hospital, Harbin Medical University, Harbin, China
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Abstract
Nuclear magnetic resonance (NMR) spectroscopy offers reproducible quantitative analysis and structural identification of metabolites in various complex biological samples, such as biofluids (plasma, serum, and urine), cells, tissue extracts, and even intact organs. Therefore, NMR-based metabolomics, a mainstream metabolomic platform, has been extensively applied in many research fields, including pharmacology, toxicology, pathophysiology, nutritional intervention, disease diagnosis/prognosis, and microbiology. In particular, NMR-based metabolomics has been successfully used for cancer research to investigate cancer metabolism and identify biomarker and therapeutic targets. This chapter highlights the innovations and challenges of NMR-based metabolomics platform and its applications in cancer research.
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Yu J, Du F, Yang L, Chen L, He Y, Geng R, Wu L, Xie B. Identification of potential serum biomarkers for simultaneously classifying lung adenocarcinoma, squamous cell carcinoma and small cell carcinoma. Cancer Biomark 2021; 30:331-342. [PMID: 33361584 DOI: 10.3233/cbm-201440] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
BACKGROUND Histological subtypes of lung cancer are crucial for making treatment decisions. However, multi-subtype classifications including adenocarcinoma (AC), squamous cell carcinoma (SqCC) and small cell carcinoma (SCLC) were rare in the previous studies. This study aimed at identifying and screening potential serum biomarkers for the simultaneous classification of AC, SqCC and SCLC. PATIENTS AND METHODS A total of 143 serum samples of AC, SqCC and SCLC were analyzed by 1HNMR and UPLC-MS/MS. The stepwise discriminant analysis (DA) and multilayer perceptron (MLP) were employed to screen the most efficient combinations of markers for classification. RESULTS The results of non-targeted metabolomics analysis showed that the changes of metabolites of choline, lipid or amino acid might contribute to the classification of lung cancer subtypes. 17 metabolites in those pathways were further quantified by UPLC-MS/MS. DA screened out that serum xanthine, S-adenosyl methionine (SAM), carcinoembryonic antigen (CEA), neuron-specific enolase (NSE) and squamous cell carcinoma antigen (SCC) contributed significantly to the classification of AC, SqCC and SCLC. The average accuracy of 92.3% and the area under the receiver operating characteristic curve of 0.97 would be achieved by MLP model when a combination of those five variables as input parameters. CONCLUSION Our findings suggested that metabolomics was helpful in screening potential serum markers for lung cancer classification. The MLP model established can be used for the simultaneous diagnosis of AC, SqCC and SCLC with high accuracy, which is worthy of further study.
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Affiliation(s)
- Jiangqing Yu
- Department of Pharmaceutics, Medical College of Jiaxing University, Jiaxing, Zhejiang, China.,Department of Respiratory and Critical Care Medicine, Huadu District People's Hospital of Guangzhou, Southern Medical University, Guangzhou, Guangdong, China
| | - Fen Du
- Department of Pharmaceutics, Medical College of Jiaxing University, Jiaxing, Zhejiang, China.,School of Pharmaceutical Science, Nanchang University, Nanchang, Jiangxi, China
| | - Liping Yang
- Medical Oncology, People's Hospital of Gansu Province, Lanzhou, Gansu, China
| | - Ling Chen
- School of Pharmaceutical Science, Nanchang University, Nanchang, Jiangxi, China
| | - Yuanxiang He
- Thoracic Surgery, First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Ruijin Geng
- School of Pharmaceutical Science, Nanchang University, Nanchang, Jiangxi, China
| | - Le Wu
- Department of Pharmaceutics, Medical College of Jiaxing University, Jiaxing, Zhejiang, China.,School of Pharmaceutical Science, Nanchang University, Nanchang, Jiangxi, China
| | - Baogang Xie
- Department of Pharmaceutics, Medical College of Jiaxing University, Jiaxing, Zhejiang, China.,School of Pharmaceutical Science, Nanchang University, Nanchang, Jiangxi, China
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25
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Gupta L, Guleria A, Rawat A, Kumar D, Aggarwal A. NMR-based clinical metabolomics revealed distinctive serum metabolic profiles in patients with spondyloarthritis. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2021; 59:85-98. [PMID: 32786028 DOI: 10.1002/mrc.5083] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 06/11/2023]
Abstract
Spondyloarthritis (SpA) is a common rheumatic disorder of the young, marred by delay in diagnosis, and paucity of biomarkers of disease activity. The present study aimed to explore the potential of serum metabolic profiling of patients with SpA to identify biomarker for the diagnosis and assessment of disease activity. The serum metabolic profiles of 81 patients with SpA were compared with that of 86 healthy controls (HCs) using nuclear magnetic resonance (NMR)-based metabolomics approach. Seventeen patients were followed up after 3 months of standard treatment, and paired sera were analyzed for effects of therapy. Comparisons were done using the multivariate partial least squares discriminant analysis (PLS-DA), and the discriminatory metabolic entities were identified based on variable importance in projection (VIP) statistics and further evaluated for statistical significance (p value < 0.05). We found that the serum metabolic profiles differed significantly in SpA as compared with HCs. Compared with HC, the SpA patients were characterized by increased serum levels of amino acids, acetate, choline, N-acetyl glycoproteins, Nα-acetyl lysine, creatine/creatinine, and so forth and decreased levels of low-/very low-density lipoproteins and polyunsaturated lipids. PLS-DA analysis also revealed metabolic differences between axial and peripheral SpA patients. Further metabolite profiles were found to differ with disease activity and treatment in responding patients. The results presented in this study demonstrate the potential of serum metabolic profiling of axial SpA as a useful tool for diagnosis, prediction of peripheral disease, assessment of disease activity, and treatment response.
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Affiliation(s)
- Latika Gupta
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Anupam Guleria
- Centre of Biomedical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Atul Rawat
- Centre of Biomedical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Dinesh Kumar
- Centre of Biomedical Research, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
| | - Amita Aggarwal
- Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India
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26
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Song Z, Wang M, Zhu Z, Tang G, Liu Y, Chai Y. Optimization of pretreatment methods for cerebrospinal fluid metabolomics based on ultrahigh performance liquid chromatography/mass spectrometry. J Pharm Biomed Anal 2021; 197:113938. [PMID: 33621718 DOI: 10.1016/j.jpba.2021.113938] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2020] [Revised: 01/19/2021] [Accepted: 01/25/2021] [Indexed: 12/17/2022]
Abstract
Sample pretreatment of cerebrospinal fluid (CSF) in metabolomics plays an important role in metabolic profiling study, especially for samples related to central nervous system diseases. However, there is few study about optimization of CSF metabolomics pretreatment. Therefore, it is an urgent need to optimize CSF pretreatment in order to promote the extraction efficiency of metabolites. In this study, CSF samples were separately subjected to nine different protein precipitation solvents and five different reconstitution solvents to establish the most effective pretreatment method before hydrophilic interaction (HILIC) and reverse-phase (RP) ultrahigh performance liquid chromatography mass spectrometry (UPLC/MS) analysis. The optimal conditions for different sample pretreatment methods were analyzed based on coverage (number of detected potential metabolites), stability (the relative standard deviation (RSD) distribution of metabolites) and the reproducibility of the data. Our results suggested that using EtOH or MeOH-EtOH-ACN (1:1:1, v/v/v) as the protein precipitation solvents and H2O-MeOH-ACN (2:1:1, v/v/v) as the reconstitution solvent were optimal methods for T3 column analysis. For HILIC column analysis, using EtOH to precipitate protein and H2O-MeOH-ACN (2:1:1, v/v/v) to reconstitute or MeOH to precipitate and 5 %ACN to reconstitute performed best. This developed UPLC/MS pretreatment method could provide better protein precipitation solvents and reconstitution solvents for global CSF metabolic analysis, potentially facilitating the comprehensive understanding of many central nervous system diseases.
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Affiliation(s)
- Zhiqiang Song
- Department of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China
| | - Mian Wang
- Institute of Hematology, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China
| | - Zhenyu Zhu
- Department of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China; Shanghai Key Laboratory for Pharmaceutical Metabolite Research, Shanghai, 200433, China
| | - Gusheng Tang
- Institute of Hematology, Changhai Hospital, Second Military Medical University, Shanghai, 200433, China.
| | - Yue Liu
- Department of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China; Shanghai Key Laboratory for Pharmaceutical Metabolite Research, Shanghai, 200433, China.
| | - Yifeng Chai
- Department of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai, 200433, China; Shanghai Key Laboratory for Pharmaceutical Metabolite Research, Shanghai, 200433, China.
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27
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Functional Metabolomics and Chemoproteomics Approaches Reveal Novel Metabolic Targets for Anticancer Therapy. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1280:131-147. [PMID: 33791979 DOI: 10.1007/978-3-030-51652-9_9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Cancer cells exhibit different metabolic patterns compared to their normal counterparts. Although the reprogrammed metabolism has been indicated as strong biomarkers of cancer initiation and progression, increasing evidences suggest that metabolic alteration tuned by oncogenic drivers contributes to the occurrence and development of cancers rather than just being a hallmark of cancer. With this notion, targeting cancer metabolism holds promise as a novel anticancer strategy and is embracing its renaissance during the past two decades. Herein we have summarized the most recent developments in omics technology, including both metabolomics and proteomics, and how the combined use of these analytical tools significantly impacts this field by comprehensively and systematically recording the metabolic changes in cancer and hence reveals potential therapeutic targets that function by modulating the disrupted metabolic pathways.
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28
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Gong Y, Lyu W, Shi X, Zou X, Lu L, Yang H, Xiao Y. A Serum Metabolic Profiling Analysis During the Formation of Fatty Liver in Landes Geese via GC-TOF/MS. Front Physiol 2020; 11:581699. [PMID: 33381050 PMCID: PMC7767842 DOI: 10.3389/fphys.2020.581699] [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: 07/09/2020] [Accepted: 11/19/2020] [Indexed: 11/25/2022] Open
Abstract
During the process of fatty liver production by overfeeding, the levels of endogenous metabolites in the serum of geese would change dramatically. This study investigated the effects of overfeeding on serum metabolism of Landes geese and the underlying mechanisms using a metabolomics approach. Sixty Landes geese of the same age were randomly divided into the following three groups with 20 replicates in each group: D0 group (free from gavage); D7 group (overfeeding for 7 days); D25 group (overfeeding for 25 days). At the end of the experiment, 10 geese of similar weight from each group were selected for slaughter and sampling. The results showed that overfeeding significantly increased the body weight and the liver weight of geese. Serum enzymatic activities and serum lipid levels were significantly enhanced following overfeeding. Gas chromatography time-of-flight/mass spectrometry (GC-TOF/MS) was employed to explore the serum metabolic patterns, and to identify potential contributors to the formation of fatty liver and the correlated metabolic pathways. Relative to overfeeding for 7 days, a large number of endogenous molecules in serum of geese overfed for 25 days were altered. Continuous elevated levels of pyruvic acid, alanine, proline and beta-glycerophosphoric acid and reduced lactic acid level were observed in the serum of overfed geese. Pathway exploration found that the most of significantly different metabolites were involved in amino acids, carbohydrate and lipid metabolism. The present study exhibited the efficient capability of Landes geese to produce fatty liver, identified potential biomarkers and disturbed metabolic pathways in liver steatosis. These findings might reveal the underlying mechanisms of fatty liver formation and provide some theoretical basis for the diagnosis and treatment of liver diseases.
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Affiliation(s)
- Yujie Gong
- Key Laboratory of Molecular Animal Nutrition of Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Wentao Lyu
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Xingfen Shi
- Zhejiang Institute of Veterinary Drug and Feed Control, Hangzhou, China
| | - Xiaoting Zou
- Key Laboratory of Molecular Animal Nutrition of Ministry of Education, Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Lizhi Lu
- Institute of Animal Husbandry and Veterinary Science, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Hua Yang
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
| | - Yingping Xiao
- State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Quality and Standard for Agro-products, Zhejiang Academy of Agricultural Sciences, Hangzhou, China
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29
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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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30
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The tip of the iceberg for diagnostic dilemmas: Performance of current diagnostics and future complementary screening approaches. Eur J Med Genet 2020; 63:104089. [PMID: 33069933 DOI: 10.1016/j.ejmg.2020.104089] [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] [Received: 08/08/2020] [Revised: 09/15/2020] [Accepted: 10/12/2020] [Indexed: 11/24/2022]
Abstract
Genetic testing is currently the leading edge of clinical care when it comes to diagnostics. However, many questions remain unanswered even when employing next-generation sequencing techniques due to our inability to decode genetic variations and our limited repertoire of available diagnoses. Accordingly, diagnostic yields for current genomic screenings are <50% and fail to provide the whole picture, leaving the remaining patients without a definitive diagnosis. Human phenotypic/disease expression is explained by alterations not only at the genome, but also at the transcriptome, proteome and metabolome levels. These "higher" complexity levels represent at wealth of information, and diagnostic screenings tests at these levels have been shown to significantly improve diagnostic yields in specific populations compared to conventional diagnostic workup or gold standards in use (7-30% increase in diagnostic yields, depending on the population, approach and gold standard being compared against). However, these are not yet routinely available to clinicians. Due to their dynamic and modifiable nature, tapping into data from different omics will improve our understanding of the pathophysiological bases underlying (many yet to characterize) human disorders. We herein review how alterations at these levels (e.g. post-transcriptional and post-translational) may be pathogenic, how such tests may be implemented and in which situations they are of significant utility.
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31
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You L, Fan Y, Liu X, Shao S, Guo L, Noreldeen HAA, Li Z, Ouyang Y, Li E, Pan X, Liu T, Tian X, Ye F, Li X, Xu G. Liquid Chromatography-Mass Spectrometry-Based Tissue Metabolic Profiling Reveals Major Metabolic Pathway Alterations and Potential Biomarkers of Lung Cancer. J Proteome Res 2020; 19:3750-3760. [PMID: 32693607 DOI: 10.1021/acs.jproteome.0c00285] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
Unclarified molecular mechanism and lack of practical diagnosis biomarkers hinder the effective treatment of non-small-cell lung cancer. Herein, we performed liquid chromatography-mass spectrometry-based nontargeted metabolomics analysis in 131 patients with their lung tissue pairs to study the metabolic characteristics and disordered metabolic pathways in lung tumor. A total of 339 metabolites were identified in metabolic profiling. Also, 241 differential metabolites were found between lung carcinoma tissues (LCTs) and paired distal noncancerous tissues; amino acids, purine metabolites, fatty acids, phospholipids, and most of lysophospholipids significantly increased in LCTs, while 3-phosphoglyceric acid, phosphoenolpyruvate, 6-phosphogluconate, and citrate decreased. Additionally, pathway enrichment analysis revealed that energy, purine, amino acid, lipid, and glutathione metabolism are markedly disturbed in lung cancer (LCa). Using binary logistic regression, we further defined candidate biomarkers for different subtypes of lung tumor. Xanthine and PC 35:2 were selected as combinational biomarkers for distinguishing benign from malignant lung tumors with a 0.886 area under curve (AUC) value, and creatine, myoinositol and LPE 16:0 were defined as combinational biomarkers for discriminating adenocarcinoma from squamous cell lung carcinoma with a 0.934 AUC value. Overall, metabolic characterization and pathway disturbance demonstrated apparent metabolic reprogramming in LCa. The defined candidate metabolite marker panels are useful for subtyping of lung tumors to assist clinical diagnosis.
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Affiliation(s)
- Lei You
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yingying Fan
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
| | - Shujuan Shao
- Key Laboratory of Proteomics, Dalian Medical University, Dalian 116044, China
| | - Lei Guo
- Department of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Hamada A A Noreldeen
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zaifang Li
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Ouyang
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
| | - Enyou Li
- Department of Anesthesiology, The First Affiliated Hospital of Harbin Medical University, Harbin 150001, China
| | - Xue Pan
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Tianyang Liu
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Xin Tian
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Fei Ye
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Xiangnan Li
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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32
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Tiedemann K, Hussein O, Komarova SV. Role of Altered Metabolic Microenvironment in Osteolytic Metastasis. Front Cell Dev Biol 2020; 8:435. [PMID: 32582711 PMCID: PMC7290111 DOI: 10.3389/fcell.2020.00435] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 05/08/2020] [Indexed: 12/17/2022] Open
Abstract
Metastatic bone disease is generally incurable and leads to pathological fractures, pain, hypercalcemia, spinal cord compression and decreased mobility. The skeleton is the major site of bone metastases from solid cancers, including breast and prostate carcinoma. Bone metastasis is facilitated by activation of bone-resorbing osteoclasts, terminally differentiated multinucleated cells formed by fusion from monocytic precursors. Cancer cells are known to produce specific factors that stimulate osteoclast differentiation and function. Of interest, cancer cells are also known to alter their own bioenergetics increasing the use of glycolysis for their survival and function. Such change in energy utilization by cancer cells would result in altered levels of cell-permeable metabolites, including glucose, lactate, and pyruvate. Osteoclast resorption is energy-expensive, and we have previously demonstrated that during differentiation osteoclasts actively adapt to their bioenergetics microenvironment. We hypothesize that altered bioenergetics state of cancer cells will also modify the bioenergetics substrate availability for the tissue-resident bone cells, potentially creating a favorable milieu for pathological osteolysis. The goals of this review are to analyze how metastasizing cancer cells change the availability of energy substrates in bone microenvironment; and to assess how the altered bioenergetics may affect osteoclast differentiation and activity.
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Affiliation(s)
- Kerstin Tiedemann
- Faculty of Dentistry, McGill University, Montréal, QC, Canada.,Shriners Hospitals for Children - Canada, Montréal, QC, Canada
| | - Osama Hussein
- Department of Surgery, Mansoura University Cancer Center, Mansoura, Egypt
| | - Svetlana V Komarova
- Faculty of Dentistry, McGill University, Montréal, QC, Canada.,Shriners Hospitals for Children - Canada, Montréal, QC, Canada
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Anaraki MT, Lysak DH, Soong R, Simpson MJ, Spraul M, Bermel W, Heumann H, Gundy M, Boenisch H, Simpson AJ. NMR assignment of the in vivo daphnia magna metabolome. Analyst 2020; 145:5787-5800. [DOI: 10.1039/d0an01280g] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Daphnia (freshwater fleas) are among the most widely used organisms in regulatory aquatic toxicology/ecology, while their recent listing as an NIH model organism is stimulating research for understanding human diseases and processes.
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Affiliation(s)
| | | | - Ronald Soong
- Department of Physical and Environmental Sciences
- University of Toronto Scarborough
- Toronto
- Canada
| | - Myrna J. Simpson
- Department of Physical and Environmental Sciences
- University of Toronto Scarborough
- Toronto
- Canada
- Department of Chemistry
| | | | | | | | | | | | - André J. Simpson
- Department of Physical and Environmental Sciences
- University of Toronto Scarborough
- Toronto
- Canada
- Department of Chemistry
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34
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Noreldeen HAA, Liu X, Xu G. Metabolomics of lung cancer: Analytical platforms and their applications. J Sep Sci 2019; 43:120-133. [DOI: 10.1002/jssc.201900736] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 11/05/2019] [Accepted: 11/15/2019] [Indexed: 12/24/2022]
Affiliation(s)
- Hamada A. A. Noreldeen
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of Sciences Dalian P. R. China
- University of Chinese Academy of Sciences Beijing P. R. China
- Marine Chemistry LabMarine Environment DivisionNational Institute of Oceanography and Fisheries Hurghada Egypt
| | - Xinyu Liu
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of Sciences Dalian P. R. China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical ChemistryDalian Institute of Chemical PhysicsChinese Academy of Sciences Dalian P. R. China
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35
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Huang L, Wang C, Xu H, Peng G. Targeting citrate as a novel therapeutic strategy in cancer treatment. Biochim Biophys Acta Rev Cancer 2019; 1873:188332. [PMID: 31751601 DOI: 10.1016/j.bbcan.2019.188332] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Revised: 11/14/2019] [Accepted: 11/15/2019] [Indexed: 01/09/2023]
Abstract
An important feature shared by many cancer cells is drastically altered metabolism that is critical for rapid growth and proliferation. The distinctly reprogrammed metabolism in cancer cells makes it possible to manipulate the levels of metabolites for cancer treatment. Citrate is a key metabolite that bridges many important metabolic pathways. Recent studies indicate that manipulating the level of citrate can impact the behaviors of both cancer and immune cells, resulting in induction of cancer cell apoptosis, boosting immune responses, and enhanced cancer immunotherapy. In this review, we discuss the recent developments in this emerging area of targeting citrate in cancer treatment. Specifically, we summarize the molecular basis of altered citrate metabolism in both tumors and immune cells, explore the seemingly conflicted growth promoting and growth inhibiting roles of citrate in various tumors, discuss the use of citrate in the clinic as a novel biomarker for cancer progression and outcomes, and highlight the new development of combining citrate with other therapeutic strategies in cancer therapy. An improved understanding of complex roles of citrate in the suppressive tumor microenvironment should open new avenues for cancer therapy.
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Affiliation(s)
- Lan Huang
- Division of Infectious Diseases, Allergy & Immunology, Department of Internal Medicine, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA; Department of Immunology, Jiangsu University School of Medicine, Zhenjiang 212013, PR China
| | - Cindy Wang
- Division of Infectious Diseases, Allergy & Immunology, Department of Internal Medicine, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA
| | - Huaxi Xu
- Department of Immunology, Jiangsu University School of Medicine, Zhenjiang 212013, PR China
| | - Guangyong Peng
- Division of Infectious Diseases, Allergy & Immunology, Department of Internal Medicine, Saint Louis University School of Medicine, Saint Louis, MO 63104, USA.
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Correlations between the metabolic profile and 18F-FDG-Positron Emission Tomography-Computed Tomography parameters reveal the complexity of the metabolic reprogramming within lung cancer patients. Sci Rep 2019; 9:16212. [PMID: 31700108 PMCID: PMC6838313 DOI: 10.1038/s41598-019-52667-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Accepted: 10/12/2019] [Indexed: 12/15/2022] Open
Abstract
Several studies have demonstrated that the metabolite composition of plasma may indicate the presence of lung cancer. The metabolism of cancer is characterized by an enhanced glucose uptake and glycolysis which is exploited by 18F-FDG positron emission tomography (PET) in the work-up and management of cancer. This study aims to explore relationships between 1H-NMR spectroscopy derived plasma metabolite concentrations and the uptake of labeled glucose (18F-FDG) in lung cancer tissue. PET parameters of interest are standard maximal uptake values (SUVmax), total body metabolic active tumor volumes (MATVWTB) and total body total lesion glycolysis (TLGWTB) values. Patients with high values of these parameters have higher plasma concentrations of N-acetylated glycoproteins which suggest an upregulation of the hexosamines biosynthesis. High MATVWTB and TLGWTB values are associated with higher concentrations of glucose, glycerol, N-acetylated glycoproteins, threonine, aspartate and valine and lower levels of sphingomyelins and phosphatidylcholines appearing at the surface of lipoproteins. These higher concentrations of glucose and non-carbohydrate glucose precursors such as amino acids and glycerol suggests involvement of the gluconeogenesis pathway. The lower plasma concentration of those phospholipids points to a higher need for membrane synthesis. Our results indicate that the metabolic reprogramming in cancer is more complex than the initially described Warburg effect.
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Bocato MZ, Bianchi Ximenez JP, Hoffmann C, Barbosa F. An overview of the current progress, challenges, and prospects of human biomonitoring and exposome studies. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART B, CRITICAL REVIEWS 2019; 22:131-156. [PMID: 31543064 DOI: 10.1080/10937404.2019.1661588] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/24/2023]
Abstract
Human Biomonitoring (HB), the process for determining whether and to what extent chemical substances penetrated our bodies, serves as a useful tool to quantify human exposure to pollutants. In cases of nutrition and physiologic status, HB plays a critical role in the identification of excess or deficiency of essential nutrients. In pollutant HB studies, levels of substances measured in body fluids (blood, urine, and breast milk) or tissues (hair, nails or teeth) aid in the identification of potential health risks or associated adverse effects. However, even as a widespread practice in several countries, most HB studies reflect exposure to a single compound or mixtures which are measured at a single time point in lifecycle. On the other hand, throughout an individual's lifespan, the contact with different physical, chemical, and social stressors occurs at varying intensities, differing times and durations. Further, the interaction between stressors and body receptors leads to dynamic responses of the entire biological system including proteome, metabolome, transcriptome, and adductome. Bearing this in mind, a relatively new vision in exposure science, defined as the exposome, is postulated to expand the traditional practice of measuring a single exposure to one or few chemicals at one-time point to an approach that addresses measures of exposure to multiple stressors throughout the lifespan. With the exposome concept, the science of exposure advances to an Environment-Wide Association Perspective, which might exhibit a stronger relationship with good health or disease conditions for an individual (phenotype). Thus, this critical review focused on the current progress of HB and exposome investigations, anticipating some challenges, strategies, and future needs to be taken into account for designing future surveys.
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Affiliation(s)
- Mariana Zuccherato Bocato
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
| | - João Paulo Bianchi Ximenez
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
| | - Christian Hoffmann
- Departmento de Alimentos e Nutrição Experimental Faculdade de Ciências Farmacêuticas, Universidade de São Paulo , São Paulo , Brazil
| | - Fernando Barbosa
- Laboratório de Toxicologia Analítica e de Sistemas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo , Ribeirão Preto , Brazil
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Tang Y, Li Z, Lazar L, Fang Z, Tang C, Zhao J. Metabolomics workflow for lung cancer: Discovery of biomarkers. Clin Chim Acta 2019; 495:436-445. [DOI: 10.1016/j.cca.2019.05.012] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2019] [Revised: 05/13/2019] [Accepted: 05/13/2019] [Indexed: 12/20/2022]
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39
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Liang JH, Lin Y, Ouyang T, Tang W, Huang Y, Ye W, Zhao JY, Wang ZN, Ma CC. Nuclear magnetic resonance-based metabolomics and metabolic pathway networks from patient-matched esophageal carcinoma, adjacent noncancerous tissues and urine. World J Gastroenterol 2019; 25:3218-3230. [PMID: 31333313 PMCID: PMC6626731 DOI: 10.3748/wjg.v25.i25.3218] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 05/13/2019] [Accepted: 06/01/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Several studies have demonstrated a correlation between esophageal cancer (EC) and perturbed urinary metabolomic profiles, but none has described the correlation between urine metabolite profiles and those of the tumor and adjacent esophageal mucosa in the same patient.
AIM To investigate how urinary metabolic phenotypes were linked to the changes in the biochemical landscape of esophageal tumors.
METHODS Nuclear magnetic resonance-based metabolomics were applied to esophageal tumor tissues and adjacent normal mucosal tissues alongside patient-matched urine samples.
RESULTS Analysis revealed that specific metabolite changes overlapped across both metrics, including glucose, glutamate, citrate, glycine, creatinine and taurine, indicating that the networks for metabolic pathway perturbations in EC, potentially involved in but not limited to disruption of fatty acid metabolism, glucose and glycolytic metabolism, tricarboxylic acid cycle and glutaminolysis. Additionally, changes in most urinary biomarkers correlated with changes in biomarker candidates in EC tissues, implying enhanced energy production for rapid cell proliferation.
CONCLUSION Overall, these associations provide evidence for distinct metabolic signatures and pathway disturbances between the tumor tissues and urine of EC patients, and changes in urinary metabolic signature could reflect reprogramming of the aforementioned metabolic pathways in EC tissues. Further investigation is needed to validate these initial findings using larger samples and to establish the underlying mechanism of EC progression.
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Affiliation(s)
- Jia-Hao Liang
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Yan Lin
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Ting Ouyang
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Wan Tang
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Yao Huang
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Wei Ye
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Jia-Yun Zhao
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Zhe-Ning Wang
- Department of Radiology, Second Affiliated Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
| | - Chang-Chun Ma
- Department of Radiation Oncology, Affiliated Tumor Hospital, Shantou University Medical College, Shantou 515041, Guangdong Province, China
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40
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Ni J, Xu L, Li W, Zheng C, Wu L. Targeted metabolomics for serum amino acids and acylcarnitines in patients with lung cancer. Exp Ther Med 2019; 18:188-198. [PMID: 31258653 PMCID: PMC6566041 DOI: 10.3892/etm.2019.7533] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2018] [Accepted: 12/06/2018] [Indexed: 12/13/2022] Open
Abstract
Lung cancer is one of the most prevalent types of cancer, but accurate diagnosis remains a challenge. The aim of the present study was to create a model using amino acids and acylcarnitines for lung cancer screening. Serum samples were obtained from two groups of patients with lung cancer recruited in 2015 (including 40 patients and 100 matched controls) and 2017 (including 17 patients and 30 matched controls). Using a metabolomics method, 21 metabolites (13 types of amino acids and 8 types of acylcarnitines) were measured using liquid chromatography-tandem mass spectrometry. Data (from the 2015 and 2017 data sets) were analysed using a Mann-Whitney U test, Student's t-test, Welch's F test, receiver-operator characteristic curve or logistic regression in order to investigate the potential biomarkers. Six metabolites (glycine, valine, methionine, citrulline, arginine and C16-carnitine) were indicated to be involved in distinguishing patients with lung cancer from healthy controls. The six discriminating metabolites from the 2017 data set were further analysed using Partial least squares-discriminant analysis (PLS-DA). The PLS-DA model was verified using Spearman's correlation analysis and receiver operating characteristic curve analysis. These results demonstrated that the PLS-DA model using the six metabolites (glycine, valine, methionine, citrulline, arginine and C16-carnitine) had a strong ability to identify lung cancer. Therefore, the PLS-DA model using glycine, valine, methionine, citrulline, arginine and C16-carnitine may become a novel screening tool in patients with lung cancer.
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Affiliation(s)
- Junjun Ni
- Department of Medicinal Chemistry and Natural Medicine Chemistry, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang 150081, P.R. China.,Beijing Harmony Health Medical Diagnostics Co., Ltd., Beijing 101111, P.R. China
| | - Li Xu
- Beijing Harmony Health Medical Diagnostics Co., Ltd., Beijing 101111, P.R. China
| | - Wei Li
- Beijing Harmony Health Medical Diagnostics Co., Ltd., Beijing 101111, P.R. China
| | - Chunmei Zheng
- Beijing Harmony Health Medical Diagnostics Co., Ltd., Beijing 101111, P.R. China
| | - Lijun Wu
- Department of Medicinal Chemistry and Natural Medicine Chemistry, College of Pharmacy, Harbin Medical University, Harbin, Heilongjiang 150081, P.R. China
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41
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Pietzke M, Arroyo SF, Sumpton D, Mackay GM, Martin-Castillo B, Camps J, Joven J, Menendez JA, Vazquez A. Stratification of cancer and diabetes based on circulating levels of formate and glucose. Cancer Metab 2019; 7:3. [PMID: 31049200 PMCID: PMC6482583 DOI: 10.1186/s40170-019-0195-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 03/20/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Serum and urine metabolites have been investigated for their use as cancer biomarkers. The specificity of candidate metabolites can be limited by the impact of other disorders on metabolite levels. In particular, the increasing incidence of obesity could become a significant confounding factor. METHODS Here we developed a multinomial classifier for the stratification of cancer, obesity and healthy phenotypes based on circulating glucose and formate levels. We quantified the classifier performance from the retrospective analysis of samples from breast cancer, lung cancer, obese individuals and healthy controls. RESULTS We discovered that circulating formate levels are significantly lower in breast and lung cancer patients than in healthy controls. However, the performance of a cancer classifier based on formate levels alone is limited because obese patients also have low serum formate levels. By introducing a multinomial classifier based on circulating glucose and formate levels, we were able to improve the classifier performance, reaching a true positive rate of 79% with a false positive rate of 8%. CONCLUSIONS Circulating formate is reduced in HER2+ breast cancer, non-small cell lung cancer and highly obese patients relative to healthy controls. Further studies are required to determine the relevance of these observations in other cancer types and diseases.
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Affiliation(s)
- Matthias Pietzke
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK
| | - Salvador Fernandez Arroyo
- Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, Rovira i Virgili University, Reus, Spain
| | - David Sumpton
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK
| | - Gillian M. Mackay
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK
| | | | - Jordi Camps
- Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, Rovira i Virgili University, Reus, Spain
| | - Jorge Joven
- Unitat de Recerca Biomèdica, Hospital Universitari de Sant Joan, IISPV, Rovira i Virgili University, Reus, Spain
| | - Javier A. Menendez
- ProCURE (Program Against Cancer Therapeutic Resistance), Metabolism & Cancer Group, Catalan Institute of Oncology, Girona, Catalonia Spain
- Girona Biomedical Research Institute (IDIBGI), Girona, Spain
| | - Alexei Vazquez
- Cancer Research UK Beatson Institute, Switchback Road, Bearsden, Glasgow, G61 1BD UK
- Institute of Cancer Sciences, University of Glasgow, Glasgow, UK
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42
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Mu Y, Zhou Y, Wang Y, Li W, Zhou L, Lu X, Gao P, Gao M, Zhao Y, Wang Q, Wang Y, Xu G. Serum Metabolomics Study of Nonsmoking Female Patients with Non-Small Cell Lung Cancer Using Gas Chromatography-Mass Spectrometry. J Proteome Res 2019; 18:2175-2184. [PMID: 30892048 DOI: 10.1021/acs.jproteome.9b00069] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The incidence of nonsmoking female patients with non-small cell lung cancer (NSCLC) has increased in recent decades; however, the pathogenesis of patients is unclear, and early diagnosis biomarkers are in urgent need. In this study, 136 nonsmoking female subjects (65 patients with NSCLC, 6 patients with benign lung tumors, and 65 healthy controls) were enrolled, and their metabolic profiling was investigated by using pseudotargeted gas chromatography-mass spectrometry. A total of 56 annotated metabolites were found and verified to be significantly different in nonsmoking females with NSCLC compared with the control. The metabolic profiling was featured by disturbed energy metabolism, amino acid metabolism, oxidative stress, lipid metabolism, and so on. Cysteine, serine, and 1-monooleoylglycerol were defined as the biomarker panel for the diagnosis of NSCLC patients. 98.5 and 91.4% of subjects were correctly distinguished in the discovery and validation sets, respectively. The biomarker panel was also useful for the diagnosis of in situ malignancy patients, with an accuracy of 97.7 and 97.8% in the discovery and validation sets, respectively. The study provides a biomarker panel for the auxiliary diagnosis of nonsmoking females with NSCLC.
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Affiliation(s)
- Ying Mu
- The First Affiliated Hospital of Dalian Medical University , Dalian Medical University , Dalian 116000 , China.,The Dalian Branch, the Library of Liaoning University of Traditional Chinese Medicine , Dalian 116600 , China
| | - Yang Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Sciences , Dalian 116023 , China.,The Second Affiliated Hospital of Dalian Medical University , Dalian Medical University , Dalian 116027 , China
| | - Yanfeng Wang
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Sciences , Dalian 116023 , China.,University of Chinese Academy of Sciences , Beijing 100049 , China
| | - Wei Li
- The First Affiliated Hospital of Dalian Medical University , Dalian Medical University , Dalian 116000 , China
| | - Lina Zhou
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Sciences , Dalian 116023 , China
| | - Xin Lu
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Sciences , Dalian 116023 , China
| | - Peng Gao
- Clinical Laboratory, Dalian Sixth People's Hospital , Dalian 116031 , China
| | - Mingyang Gao
- The First Affiliated Hospital of Dalian Medical University , Dalian Medical University , Dalian 116000 , China
| | - Yanhui Zhao
- The Dalian Branch, the Library of Liaoning University of Traditional Chinese Medicine , Dalian 116600 , China
| | - Qi Wang
- The Second Affiliated Hospital of Dalian Medical University , Dalian Medical University , Dalian 116027 , China
| | - Yanfu Wang
- The First Affiliated Hospital of Dalian Medical University , Dalian Medical University , Dalian 116000 , China
| | - Guowang Xu
- CAS Key Laboratory of Separation Science for Analytical Chemistry , Dalian Institute of Chemical Physics, Chinese Academy of Sciences , Dalian 116023 , China
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Laíns I, Duarte D, Barros AS, Martins AS, Carneiro TJ, Gil JQ, Miller JB, Marques M, Mesquita TS, Barreto P, Kim IK, da Luz Cachulo M, Vavvas DG, Carreira IM, Murta JN, Silva R, Miller JW, Husain D, Gil AM. Urine Nuclear Magnetic Resonance (NMR) Metabolomics in Age-Related Macular Degeneration. J Proteome Res 2019; 18:1278-1288. [PMID: 30672297 PMCID: PMC7838731 DOI: 10.1021/acs.jproteome.8b00877] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Biofluid biomarkers of age-related macular degeneration (AMD) are still lacking, and their identification is challenging. Metabolomics is well-suited to address this need, and urine is a valuable accessible biofluid. This study aimed to characterize the urinary metabolomic signatures of patients with different stages of AMD and a control group (>50 years). It was a prospective, cross-sectional study, where subjects from two cohorts were included: 305 from Coimbra, Portugal (AMD patients n = 252; controls n = 53) and 194 from Boston, United States (AMD patients n = 147; controls n = 47). For all participants, we obtained color fundus photographs (for AMD staging) and fasting urine samples, which were analyzed using 1H nuclear magnetic resonance (NMR) spectroscopy. Our results revealed that in both cohorts, urinary metabolomic profiles differed mostly between controls and late AMD patients, but important differences were also found between controls and subjects with early AMD. Analysis of the metabolites responsible for these separations revealed that, even though distinct features were observed for each cohort, AMD was in general associated with depletion of excreted citrate and selected amino acids at some stage of the disease, suggesting enhanced energy requirements. In conclusion, NMR metabolomics enabled the identification of urinary signals of AMD and its severity stages, which might represent potential metabolomic biomarkers of the disease.
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Affiliation(s)
- Inês Laíns
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Daniela Duarte
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - António S. Barros
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Ana Sofia Martins
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Tatiana J. Carneiro
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - João Q. Gil
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - John B. Miller
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Marco Marques
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Tânia S. Mesquita
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
| | - Patrícia Barreto
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
| | - Ivana K. Kim
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Maria da Luz Cachulo
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Demetrios G. Vavvas
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Isabel M. Carreira
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
| | - Joaquim Neto Murta
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Rufino Silva
- Faculty of Medicine, University of Coimbra (FMUC), 3000-354 Coimbra, Portugal
- Association for Innovation and Biomedical Research on Light and Image (AIBILI), 3000-548 Coimbra, Portugal
- Department of Ophthalmology, Centro Hospitalar e Universitário de Coimbra (CHUC), 3075 Coimbra, Portugal
| | - Joan W. Miller
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Deeba Husain
- Department of Ophthalmology, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts 02115, United States
| | - Ana M. Gil
- CICECO- Aveiro Institute of Materials (CICECO/UA), Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
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Glutamine Addiction and Therapeutic Strategies in Lung Cancer. Int J Mol Sci 2019; 20:ijms20020252. [PMID: 30634602 PMCID: PMC6359540 DOI: 10.3390/ijms20020252] [Citation(s) in RCA: 79] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 01/05/2019] [Accepted: 01/07/2019] [Indexed: 12/16/2022] Open
Abstract
Lung cancer cells are well-documented to rewire their metabolism and energy production networks to support rapid survival and proliferation. This metabolic reorganization has been recognized as a hallmark of cancer. The increased uptake of glucose and the increased activity of the glycolytic pathway have been extensively described. However, over the past years, increasing evidence has shown that lung cancer cells also require glutamine to fulfill their metabolic needs. As a nitrogen source, glutamine contributes directly (or indirectly upon conversion to glutamate) to many anabolic processes in cancer, such as the biosynthesis of amino acids, nucleobases, and hexosamines. It plays also an important role in the redox homeostasis, and last but not least, upon conversion to α-ketoglutarate, glutamine is an energy and anaplerotic carbon source that replenishes tricarboxylic acid cycle intermediates. The latter is generally indicated as glutaminolysis. In this review, we explore the role of glutamine metabolism in lung cancer. Because lung cancer is the leading cause of cancer death with limited curative treatment options, we focus on the potential therapeutic approaches targeting the glutamine metabolism in cancer.
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Siddiqui AJ, Sherazi STH, Ahmed S, Iqbal Choudhary M, Musharraf SG. A comparative profiling of oral cancer patients and high risk niswar users using FT-IR and chemometric analysis. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2018; 203:177-184. [PMID: 29864641 DOI: 10.1016/j.saa.2018.05.107] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Revised: 05/22/2018] [Accepted: 05/27/2018] [Indexed: 06/08/2023]
Abstract
Oral cancer is one of the major cancer types, which has increased sustainably in Southeast Asian countries due to the extensive use of a variety of tobacco and betel nut products. The current study is focused on developing an easy, efficient and cost-effective method for plasma profiling of oral cancer patients and tobacco users in order to have a progressive picture towards oral cancer. For this purpose, the profiling of 147 plasma samples including 67 oral cancer patients' samples, 60 "niswar" (a dipping tobacco product) user samples, and 20 healthy controls using attenuated total reflectance-fourier transform infrared spectroscopy (ATR-FTIR), and chemometric analysis was carried out. Fingerprint region (500-1500 cm-1) of all three groups showed interesting variations in peaks pattern. From these observations, height ratios of two bands H1646/H1550 and H1080/H1024 with p value of 2.01 × 10-6 and 8.39 × 10-7, respectively, showed a pattern between healthy to oral cancer and "niswar" user samples. Chemometric analysis of the data showed a clean separation among the groups. PLS-DA and OPLS-DA models provided 87.7% and 89.5% classification rate, respectively. Area under the curve (AUC) for healthy control, oral cancer and "niswar" users were found to be 0.97, 0.95 and 0.92%, respectively. The results of the present study indicate that FT-IR spectroscopy, in conjunction with chemometric data, can be effectively used for the preliminary differentiation of plasma samples of oral cancer patients, "niswar" users and control samples of healthy persons.
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Affiliation(s)
- Amna Jabbar Siddiqui
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan
| | | | - Shakil Ahmed
- Industrial Analytical Centre (IAC), H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi, 75270, Pakistan
| | - M Iqbal Choudhary
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan; Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 22254, Saudi Arabia
| | - Syed Ghulam Musharraf
- H.E.J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan.
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Metabolome-based biomarkers: their potential role in the early detection of lung cancer. Contemp Oncol (Pozn) 2018; 22:135-140. [PMID: 30455584 PMCID: PMC6238086 DOI: 10.5114/wo.2018.78942] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2018] [Accepted: 07/21/2018] [Indexed: 02/06/2023] Open
Abstract
Lung cancer is the leading cause of cancer-related death worldwide, and a major problem affecting its mortality is the late diagnosis of the majority of cases, where treatment options are limited and overall prognosis is very bad. Currently, a low-dose computed tomography (LD-CT) screening in the high-risk group is the only available diagnostic strategy that could reduce mortality due to this malignancy. However, the LD-CT screening test suffers from a high false positive rate. Hence, complementation of LD-CT examination with blood-based biomarkers is a rational approach to increase efficacy and reduce the cost of early lung cancer screening programs. Several molecular signatures that discriminate between patients with early lung cancer and healthy individuals have been proposed in recent years, which are based on components of serum/plasma metabolome. However, none of these signatures has been validated by independent studies based on material collected during real lung cancer screening. Therefore, the validation of the real diagnostic value of these otherwise promising candidates remains a critical step in this challenging field of cancer diagnostics.
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The plasma glutamate concentration as a complementary tool to differentiate benign PET-positive lung lesions from lung cancer. BMC Cancer 2018; 18:868. [PMID: 30176828 PMCID: PMC6122613 DOI: 10.1186/s12885-018-4755-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2017] [Accepted: 08/16/2018] [Indexed: 01/01/2023] Open
Abstract
Background Pulmonary imaging often identifies suspicious abnormalities resulting in supplementary diagnostic procedures. This study aims to investigate whether the metabolic fingerprint of plasma allows to discriminate between patients with lung inflammation and patients with lung cancer. Methods Metabolic profiles of plasma from 347 controls, 269 cancer patients and 108 patients with inflammation were obtained by 1H-NMR spectroscopy. Models to discriminate between groups were trained by PLS-LDA. A test set was used for independent validation. A ROC curve was built to evaluate the diagnostic performance of potential biomarkers. Results Sensitivity, specificity, PPV and NPV of PET-CT to diagnose cancer are 96, 23, 76 and 71%. Metabolic profiles differentiate between cancer and inflammation with a sensitivity of 89%, a specificity of 87% and a MCE of 12%. Removal of the glutamate metabolite results in an increase of MCE (38%) and a decrease of both sensitivity and specificity (62%), demonstrating the importance of glutamate for discrimination. At the cut-off point 0.31 on the ROC curve, the relative glutamate concentration discriminates between cancer and inflammation with a sensitivity of 85%, a specificity of 81%, and an AUC of 0.88. PPV and NPV are 92 and 69%. In PET-positive patients with a relative glutamate level ≤ 0.31 the sensitivity to diagnose cancer reaches 100% with a PPV of 94%. In PET-negative patients, a relative glutamate level > 0.31 increases the specificity of PET from 23% to 58% and results in a high NPV of 100%. In case of discrepancy between SUVmax and the glutamate concentration, lung cancer is missed in 19% of the cases. Conclusion This study indicates that the 1H-NMR-derived relative plasma concentration of glutamate allows discrimination between lung cancer and lung inflammation. A glutamate level ≤ 0.31 in PET-positive patients corresponds to the diagnosis of lung cancer with a higher specificity and PPV than PET-CT. Glutamate levels > 0.31 in patients with PET negative lung lesions is likely to correspond with inflammation. Caution is needed for patients with conflicting SUVmax values and glutamate concentrations. Confirmation is needed in a prospective study with external validation and by another analytical technique such as HPLC-MS. Electronic supplementary material The online version of this article (10.1186/s12885-018-4755-1) contains supplementary material, which is available to authorized users.
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Yang C, Hao R, Du X, Deng Y, Sun R, Wang Q. Metabolomics Responses of Pearl Oysters ( Pinctada fucata martensii) Fed a Formulated Diet Indoors and Cultured With Natural Diet Outdoors. Front Physiol 2018; 9:944. [PMID: 30072917 PMCID: PMC6060569 DOI: 10.3389/fphys.2018.00944] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 06/28/2018] [Indexed: 12/26/2022] Open
Abstract
Natural disasters and environmental pollution are the main problems in traditional offshore cultivation. While culturing pearl oysters through industrial farming can avoid these problems, food availability in this case is limited. This study compares the metabolomics responses of pearl oysters, Pinctada fucata martensii, fed a formulated diet indoors with those of oysters cultured with natural diet outdoors by using a gas chromatography time-of-flight mass spectrometry (GC-TOF/MS)-based metabolomics approach. The animals were divided into two groups as follows: the experimental group (EG) was fed a formulated diet indoors and the control group (CG) was cultured with natural diet outdoors. After 45 days of feeding, the survival rate of EG was significantly higher than that of CG. The absolute growth rate (AGR) of the total weight of EG did not significantly differ from that of CG, but the AGRs of the shell length, shell height, and shell width of CG were significantly higher than those of EG. EG showed significantly higher amylase activities than CG, and the hexokinase and glucose-6-phosphate isomerase concentrations of the former were significantly lower than those of the latter. Metabolomics revealed 125 metabolites via mass spectrum matching with a spectral similarity value > 700 in the hepatopancreas, and 48 metabolites were considered to be significantly different between groups (VIP > 1 and P < 0.05). Pathway analysis results indicated that these significantly different metabolites were involved in 34 pathways. Further integrated key metabolic pathway analysis showed that, compared with CG, EG had lower capabilities for cysteine and methionine metabolism, sulfur metabolism, and starch and sucrose metabolism. This study demonstrated that the formulated diet could be an excellent substitute for natural diet; however, its nutrients were insufficient. Effective strategies should be developed to enhance the utilization of formulated diets.
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Affiliation(s)
- Chuangye Yang
- Fisheries College, Guangdong Ocean University, Zhanjiang, China
| | - Ruijuan Hao
- Fisheries College, Guangdong Ocean University, Zhanjiang, China
| | - Xiaodong Du
- Fisheries College, Guangdong Ocean University, Zhanjiang, China.,Pearl Breeding and Processing Engineering Technology Research Centre of Guangdong Province, Zhanjiang, China
| | - Yuewen Deng
- Fisheries College, Guangdong Ocean University, Zhanjiang, China.,Pearl Breeding and Processing Engineering Technology Research Centre of Guangdong Province, Zhanjiang, China
| | - Ruijiao Sun
- Zhejiang Hengxing Food Co., Ltd., Jiaxing, China
| | - Qingheng Wang
- Fisheries College, Guangdong Ocean University, Zhanjiang, China.,Pearl Breeding and Processing Engineering Technology Research Centre of Guangdong Province, Zhanjiang, China
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Suman S, Sharma RK, Kumar V, Sinha N, Shukla Y. Metabolic fingerprinting in breast cancer stages through 1H NMR spectroscopy-based metabolomic analysis of plasma. J Pharm Biomed Anal 2018; 160:38-45. [PMID: 30059813 DOI: 10.1016/j.jpba.2018.07.024] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2018] [Revised: 07/15/2018] [Accepted: 07/16/2018] [Indexed: 12/14/2022]
Abstract
Breast cancer (BC) is one of the most common malignancies among women worldwide, which is indeed associated with metabolic reprogramming. However, BC is a very complex and heterogeneous disease, which can relate with the changes in metabolic profiles during BC progression. Hence, investigating the metabolic alterations during BC stage progression may reveal the deregulated pathways and useful metabolic signatures of BC. To demonstrate the metabolic insights, we opted 1H NMR spectroscopy based metabolomics of blood plasma of early and late stage BC (N = 72) with age and gender matched healthy subjects (N = 50). Further, the metabolic profiles were analyzed to delineate the potential signatures of BC by performing multivariate and nonparametric statistical analysis in early and late stages of BC in comparison with healthy subjects. Sixteen metabolites levels were differentially changed (p < 0.05) in the early and late stages of BC from healthy subjects. Among them, the levels of hydroxybutyrate, lysine, glutamate, glucose, N-acetyl glycoprotein, Lactate were highly distinguished in BC stages and showed a good biomarker potential using receiver-operating curves based diagnostic models. Furthermore, the significant modulation and good diagnostic performances of glutamate, N-acetyl glycoprotein and Lactate in LBC as compared to EBC give their significance in the BC progression. In general, our observations demonstrate that these panels of metabolites may act as vital component of the metabolism of early to late stage BC progression. Our results also open new avenue towards early and late stage BC diagnosis and intervention implying metabolomics approaches.
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Affiliation(s)
- Shankar Suman
- Proteomics and Environmental Carcinogenesis Laboratory, Food, Drug and Chemical Toxicology Group, 31 Vishvigyan Bhawan, CSIR-Indian Institute of Toxicology Research, Mahatma Gandhi Marg, Post Box 80, Lucknow, 226001, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-IITR Campus, Lucknow, India
| | - Raj Kumar Sharma
- Center of Biomedical Research, SGPGIMS-campus, Raibareilly Road, Lucknow, U.P., 226014, India
| | - Vijay Kumar
- Department of Surgical Oncology, King George's Medical University, Chowk, Lucknow, 226003, India
| | - Neeraj Sinha
- Center of Biomedical Research, SGPGIMS-campus, Raibareilly Road, Lucknow, U.P., 226014, India
| | - Yogeshwer Shukla
- Proteomics and Environmental Carcinogenesis Laboratory, Food, Drug and Chemical Toxicology Group, 31 Vishvigyan Bhawan, CSIR-Indian Institute of Toxicology Research, Mahatma Gandhi Marg, Post Box 80, Lucknow, 226001, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-IITR Campus, Lucknow, India.
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Wu X, Zhu L, Ma PC. Next-Generation Novel Noninvasive Cancer Molecular Diagnostics Platforms Beyond Tissues. Am Soc Clin Oncol Educ Book 2018; 38:964-977. [PMID: 30231325 PMCID: PMC6381937 DOI: 10.1200/edbk_199767] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
In recent years, there has been a revolutionary expansion in technologic advances and therapeutic innovations in cancer medicine. Cancer diagnostics has begun to move away from a sole dependence on direct tumor tissue biopsy for cancer detection, diagnosis, and treatment monitoring. The need for improvement in molecular cancer diagnostics has never been more important, with not only the advent of cancer genomics and genomics-guided precision medicine but also the recent arrival of cancer immunotherapies. Owing to the practical limitations and risks associated with tissue-based biopsy diagnostics, novel noninvasive cancer diagnostics platforms have continued to evolve and expand in recent years. Examples of these platforms include the liquid biopsy, which is used to interrogate ctDNA or circulating tumor cells, proteomics, metabolomics, and exosomes; the urine biopsy, which is used to assay ctDNAs; saliva and stool biopsies, which are used for molecular genomics assays; and the breath biopsy, which measures volatile organic compounds. These next-generation noninvasive molecular diagnostics assays beyond tissues fundamentally transform the potential utilities of cancer diagnostics to enable repeat, prospective, and serial longitudinal "biopsies" to monitor disease response resistance and progression on therapies. Moreover, they allow continual interrogation and molecular in-depth analysis of the evolving tumor's pan-canceromics under therapeutic stress. These technological and diagnostic advances have already brought about paradigm-changing next-generation cancer therapeutic strategies to enhance overall treatment efficacies. This article reviews the key noninvasive next-generation molecular diagnostics platforms beyond tissues, with emphasis on clinical utilities and applications.
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Affiliation(s)
- Xiaoliang Wu
- From the West Virginia University Cancer Institute, West Virginia University Medicine, West Virginia University, Morgantown, WA; West Virginia Clinical and Translational Institute, Morgantown, WV
| | - Lin Zhu
- From the West Virginia University Cancer Institute, West Virginia University Medicine, West Virginia University, Morgantown, WA; West Virginia Clinical and Translational Institute, Morgantown, WV
| | - Patrick C Ma
- From the West Virginia University Cancer Institute, West Virginia University Medicine, West Virginia University, Morgantown, WA; West Virginia Clinical and Translational Institute, Morgantown, WV
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