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Galey L, Olanrewaju A, Nabi H, Paquette JS, Pouliot F, Audet-Walsh É. PSA, an outdated biomarker for prostate cancer: In search of a more specific biomarker, citrate takes the spotlight. J Steroid Biochem Mol Biol 2024; 243:106588. [PMID: 39025336 DOI: 10.1016/j.jsbmb.2024.106588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 07/12/2024] [Accepted: 07/14/2024] [Indexed: 07/20/2024]
Abstract
The prevailing biomarker employed for prostate cancer (PCa) screening and diagnosis is the prostate-specific antigen (PSA). Despite excellent sensitivity, PSA lacks specificity, leading to false positives, unnecessary biopsies and overdiagnosis. Consequently, PSA is increasingly less used by clinicians, thus underscoring the imperative for the identification of new biomarkers. An emerging biomarker in this context is citrate, a molecule secreted by the normal prostate, which has been shown to be inversely correlated with PCa. Here, we discuss about PSA and its usage for PCa diagnosis, its lack of specificity, and the various conditions that can affect its levels. We then provide our vision about what we think would be a valuable addition to our PCa diagnosis toolkit, citrate. We describe the unique citrate metabolic program in the prostate and how this profile is reprogrammed during carcinogenesis. Finally, we summarize the evidence that supports the usage of citrate as a biomarker for PCa diagnosis, as it can be measured in various patient samples and be analyzed by several methods. The unique relationship between citrate and PCa, combined with the stability of citrate levels in other prostate-related conditions and the simplicity of its detection, further accentuates its potential as a biomarker.
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Affiliation(s)
- Lucas Galey
- Endocrinology - Nephrology Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec City, Canada; Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada
| | - Ayokunle Olanrewaju
- Department of Mechanical Engineering, University of Washington, Seattle, WA, USA; Department of Bioengineering, University of Washington, Seattle, WA, USA
| | - Hermann Nabi
- Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada
| | - Jean-Sébastien Paquette
- Laboratoire de recherche et d'innovation en médecine de première ligne (ARIMED), Groupe de médecine de famille universitaire de Saint-Charles-Borromée, CISSS Lanaudière, Saint-Charles-Borromée, QC, Canada; VITAM Research Centre for Sustainable Health, Québec, QC, Canada; Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Québec, QC, Canada
| | - Frédéric Pouliot
- Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada; Department of Family Medicine and Emergency Medicine, Faculty of Medicine, Université Laval, Québec, QC, Canada; Department of surgery, Faculty of Medicine, Université Laval, Québec, QC, Canada
| | - Étienne Audet-Walsh
- Endocrinology - Nephrology Research Axis, Centre de recherche du CHU de Québec - Université Laval, Québec City, Canada; Department of Molecular Medicine, Faculty of Medicine, Université Laval, Québec City, Canada; Centre de recherche sur le cancer de l'Université Laval, Québec City, Canada.
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Miao L, Liu Y, Chen W, Gao C, Zhang Y, Wei J, Cao X. Brucine Suppresses Malignant Progression of Prostate Cancer by Decreasing Sarcosine Accumulation via Downregulation of GNMT in the Glycine/sarcosine Metabolic Pathway. Cell Biochem Biophys 2024:10.1007/s12013-024-01348-z. [PMID: 38877335 DOI: 10.1007/s12013-024-01348-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/01/2024] [Indexed: 06/16/2024]
Abstract
Prostate cancer (PCa) remains a leading cause of cancer-related incidence and mortality in men. Disruptions in amino acid (AA) metabolism contribute to the disease progression, with brucine, a glycine antagonist, exhibiting antitumor effects. This study explores the antitumor impact of brucine on PCa and investigates its mechanisms in regulating AA metabolic pathways. The study employed the PCa cell line DU-145, characterized by high sarcosine (Sar) levels, for various assays including Cell Counting Kit-8 (CCK8), wound healing, Transwell, 5-Ethynyl-2'-deoxyuridine (EDU), TdT mediated dUTP Nick End Labeling (TUNEL), flow cytometry, Western blot, and ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Network pharmacological analysis determined the anticancer mechanisms of brucine. Sar levels in DU-145 cells were significantly higher than in normal prostatic epithelial cells RWPE-1. Treatment with brucine resulted in a marked decrease in cell viability, proliferation, invasion, and migration, while promoting apoptosis in a dose-dependent manner. Sar levels decreased with increasing brucine concentration. Network pharmacology analysis linked brucine's anticancer effect to the AA metabolism and glycine N-methyltransferase (GNMT) pathways. GNMT expression in prostate cancer tissues and The Cancer Genome Atlas database was significantly elevated compared to controls. Treatment with brucine led to downregulation of GNMT expression in DU-145 cells without significant effect on sarcosine dehydrogenase (SARDH). Addition of recombinant GNMT partially reversed the inhibitory effects of brucine on DU-145 cells. Treatment with brucine downregulates GNMT expression in DU-145 cells, reducing Sar accumulation and inhibiting tumor progression. These findings provide new insights into the antitumor mechanisms of brucine in PCa.
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Affiliation(s)
- Long Miao
- Department of Urology, Xuzhou No. 1 People's Hospital, the Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, 221004, PR China
| | - Yang Liu
- Department of Hematology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221004, PR China
| | - Wei Chen
- Department of Urology, Xuzhou No. 1 People's Hospital, the Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, 221004, PR China
| | - Chao Gao
- Department of Urology, Xuzhou No. 1 People's Hospital, the Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, 221004, PR China
| | - Yijing Zhang
- Department of Urology, Xuzhou No. 1 People's Hospital, the Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, 221004, PR China
| | - Jin Wei
- Department of Urology, Xuzhou No. 1 People's Hospital, the Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, 221004, PR China
| | - Xiliang Cao
- Department of Urology, Xuzhou No. 1 People's Hospital, the Affiliated Xuzhou Municipal Hospital of Xuzhou Medical University, Xuzhou, 221004, PR China.
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Osik N, Lukzen NN, Yanshole VV, Tsentalovich YP. Loss of Volatile Metabolites during Concentration of Metabolomic Extracts. ACS OMEGA 2024; 9:24015-24024. [PMID: 38854568 PMCID: PMC11154959 DOI: 10.1021/acsomega.4c02439] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/02/2024] [Accepted: 05/16/2024] [Indexed: 06/11/2024]
Abstract
Volatile metabolites can be lost during the preanalytical stage of metabolomic analysis. This work is aimed at the experimental and theoretical study of mechanisms of volatile substance evaporation and retention in the residues during the drying of extract solutions. We demonstrate that solvent evaporation leads to the unavoidable loss of nondissociating volatile metabolites with low boiling points and high vapor pressures (such as acetone and ethanol). The retention of dissociating volatile compounds (primarily organic acids RH) during the evaporation depends on the presence of buffer salts in solution, which are responsible for maintaining the neutral pH. An acid remains in the solution as long as it is present predominantly in the dissociated R- state. At the very last stage of solvent evaporation, buffer salts precipitate, forming a solid matrix for metabolite trapping in the residue. At the same time, buffer precipitation leads to a decrease of the solution pH, increase of the portion of RH in associated state, and acceleration of RH volatilization. The RH recovery is thus determined by the competition between the solute volatilization in the associated RH form and metabolite trapping in the solid matrix. The retention of volatile acids in the residue after extract drying can be improved either by adding buffer salts to maintain high pH or by incomplete sample drying.
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Affiliation(s)
- Nataliya
A. Osik
- International
Tomography Center Siberian Branch of Russian Academy of Sciences, Institutskaya str. 3a, Novosibirsk 630090, Russia
| | - Nikita N. Lukzen
- International
Tomography Center Siberian Branch of Russian Academy of Sciences, Institutskaya str. 3a, Novosibirsk 630090, Russia
- Novosibirsk
State University, Pirogova
str. 1, Novosibirsk 630090, Russia
| | - Vadim V. Yanshole
- International
Tomography Center Siberian Branch of Russian Academy of Sciences, Institutskaya str. 3a, Novosibirsk 630090, Russia
- Novosibirsk
State University, Pirogova
str. 1, Novosibirsk 630090, Russia
| | - Yuri P. Tsentalovich
- International
Tomography Center Siberian Branch of Russian Academy of Sciences, Institutskaya str. 3a, Novosibirsk 630090, Russia
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Lu B, Liu Y, Yao Y, Yang T, Zhang H, Yang X, Huang R, Zhou W, Pan X, Cui X. Advances in sequencing and omics studies in prostate cancer: unveiling molecular pathogenesis and clinical applications. Front Oncol 2024; 14:1355551. [PMID: 38800374 PMCID: PMC11116611 DOI: 10.3389/fonc.2024.1355551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 04/16/2024] [Indexed: 05/29/2024] Open
Abstract
Background Prostate cancer (PCa) is one of the most threatening health problems for the elderly males. However, our understanding of the disease has been limited by the research technology for a long time. Recently, the maturity of sequencing technology and omics studies has been accelerating the studies of PCa, establishing themselves as an essential impetus in this field. Methods We assessed Web of Science (WoS) database for publications of sequencing and omics studies in PCa on July 3rd, 2023. Bibliometrix was used to conduct ulterior bibliometric analysis of countries/affiliations, authors, sources, publications, and keywords. Subsequently, purposeful large amounts of literature reading were proceeded to analyze research hotspots in this field. Results 3325 publications were included in the study. Research associated with sequencing and omics studies in PCa had shown an obvious increase recently. The USA and China were the most productive countries, and harbored close collaboration. CHINNAIYAN AM was identified as the most influential author, and CANCER RESEARCH exhibited huge impact in this field. Highly cited publications and their co-citation relationships were used to filtrate literatures for subsequent literature reading. Based on keyword analysis and large amounts of literature reading, 'the molecular pathogenesis of PCa' and 'the clinical application of sequencing and omics studies in PCa' were summarized as two research hotspots in the field. Conclusion Sequencing technology had a deep impact on the studies of PCa. Sequencing and omics studies in PCa helped researchers reveal the molecular pathogenesis, and provided new possibilities for the clinical practice of PCa.
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Affiliation(s)
- Bingnan Lu
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yifan Liu
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuntao Yao
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tianyue Yang
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haoyu Zhang
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xinyue Yang
- Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Runzhi Huang
- Department of Burn Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China
| | - Wang Zhou
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiuwu Pan
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xingang Cui
- Department of Urology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Oliveira MF, de Albuquerque Neto MC, Leite TS, Alves PAA, Lima SVC, Silva RO. Performance evaluate of different chemometrics formalisms used for prostate cancer diagnosis by NMR-based metabolomics. Metabolomics 2023; 20:8. [PMID: 38127222 DOI: 10.1007/s11306-023-02067-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Accepted: 11/16/2023] [Indexed: 12/23/2023]
Abstract
INTRODUCTION In general, two characteristics are ever present in NMR-based metabolomics studies: (1) they are assays aiming to classify the samples in different groups, and (2) the number of samples is smaller than the feature (chemical shift) number. It is also common to observe imbalanced datasets due to the sampling method and/or inclusion criteria. These situations can cause overfitting. However, appropriate feature selection and classification methods can be useful to solve this issue. OBJECTIVES Investigate the performance of metabolomics models built from the association between feature selectors, the absence of feature selection, and classification algorithms, as well as use the best performance model as an NMR-based metabolomic method for prostate cancer diagnosis. METHODS We evaluated the performance of NMR-based metabolomics models for prostate cancer diagnosis using seven feature selectors and five classification formalisms. We also obtained metabolomics models without feature selection. In this study, thirty-eight volunteers with a positive diagnosis of prostate cancer and twenty-three healthy volunteers were enrolled. RESULTS Thirty-eight models obtained were evaluated using AUROC, accuracy, sensitivity, specificity, and kappa's index values. The best result was obtained when Genetic Algorithm was used with Linear Discriminant Analysis with 0.92 sensitivity, 0.83 specificity, and 0.88 accuracy. CONCLUSION The results show that the pick of a proper feature selection method and classification model, and a resampling method can avoid overfitting in a small metabolomic dataset. Furthermore, this approach would decrease the number of biopsies and optimize patient follow-up. 1H NMR-based metabolomics promises to be a non-invasive tool in prostate cancer diagnosis.
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Affiliation(s)
- Márcio Felipe Oliveira
- Metabonomics and Chemometrics Laboratory, Fundamental Chemistry Department, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife, Pernambuco, Brazil.
- Fundamental Chemistry Department, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife, Pernambuco, Brazil.
| | - Moacir Cavalcante de Albuquerque Neto
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Thiago Siqueira Leite
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Paulo André Araújo Alves
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Salvador Vilar Correia Lima
- Surgery Department, Clinics Hospital, Urology Clinic, Universidade Federal de Pernambuco, Av. Professor Luis Freire, s/n. Cidade Universitária, Recife, Pernambuco, Brazil
| | - Ricardo Oliveira Silva
- Metabonomics and Chemometrics Laboratory, Fundamental Chemistry Department, Universidade Federal de Pernambuco, Av. Jornalista Anibal Fernandes, s/n, Cidade Universitária, Recife, Pernambuco, Brazil
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Hasubek AL, Wang X, Zhang E, Kobus M, Chen J, Vandergrift LA, Kurreck A, Ehret F, Dinges S, Hohm A, Tilgner M, Buko A, Habbel P, Nowak J, Mercaldo ND, Gusev A, Feldman AS, Cheng LL. Differentiation of patients with and without prostate cancer using urine 1 H NMR metabolomics. MAGNETIC RESONANCE IN CHEMISTRY : MRC 2023; 61:740-747. [PMID: 37654196 DOI: 10.1002/mrc.5391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 08/09/2023] [Accepted: 08/12/2023] [Indexed: 09/02/2023]
Abstract
Prostate cancer (PCa) is one of the most prevalent cancers in men worldwide. For its detection, serum prostate-specific antigen (PSA) screening is commonly used, despite its lack of specificity, high false positive rate, and inability to discriminate indolent from aggressive PCa. Following increases in serum PSA levels, clinicians often conduct prostate biopsies with or without advanced imaging. Nuclear magnetic resonance (NMR)-based metabolomics has proven to be promising for advancing early-detection and elucidation of disease progression, through the discovery and characterization of novel biomarkers. This retrospective study of urine-NMR samples, from prostate biopsy patients with and without PCa, identified several metabolites involved in energy metabolism, amino acid metabolism, and the hippuric acid pathway. Of note, lactate and hippurate-key metabolites involved in cellular proliferation and microbiome effects, respectively-were significantly altered, unveiling widespread metabolomic modifications associated with PCa development. These findings support urine metabolomics profiling as a promising strategy to identify new clinical biomarkers for PCa detection and diagnosis.
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Affiliation(s)
- Anna-Laura Hasubek
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Xiaoyu Wang
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Ella Zhang
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marta Kobus
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jiashang Chen
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Lindsey A Vandergrift
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Annika Kurreck
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Felix Ehret
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Sarah Dinges
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Annika Hohm
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marlon Tilgner
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Alexander Buko
- Human Metabolome Technologies, Boston, Massachusetts, USA
| | - Piet Habbel
- Charite - Universitatsmedizin Berlin, Berlin, Germany
| | - Johannes Nowak
- SRH Poliklinik Gera GmbH, Radiology Gotha, Gotha, Germany
- SRH University of Applied Health Sciences, Gera, Germany
| | - Nathaniel D Mercaldo
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew Gusev
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Adam S Feldman
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Leo L Cheng
- Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Dudka I, Lundquist K, Wikström P, Bergh A, Gröbner G. Metabolomic profiles of intact tissues reflect clinically relevant prostate cancer subtypes. J Transl Med 2023; 21:860. [PMID: 38012666 PMCID: PMC10683247 DOI: 10.1186/s12967-023-04747-7] [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: 05/22/2023] [Accepted: 11/21/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND Prostate cancer (PC) is a heterogenous multifocal disease ranging from indolent to lethal states. For improved treatment-stratification, reliable approaches are needed to faithfully differentiate between high- and low-risk tumors and to predict therapy response at diagnosis. METHODS A metabolomic approach based on high resolution magic angle spinning nuclear magnetic resonance (HR MAS NMR) analysis was applied on intact biopsies samples (n = 111) obtained from patients (n = 31) treated by prostatectomy, and combined with advanced multi- and univariate statistical analysis methods to identify metabolomic profiles reflecting tumor differentiation (Gleason scores and the International Society of Urological Pathology (ISUP) grade) and subtypes based on tumor immunoreactivity for Ki67 (cell proliferation) and prostate specific antigen (PSA, marker for androgen receptor activity). RESULTS Validated metabolic profiles were obtained that clearly distinguished cancer tissues from benign prostate tissues. Subsequently, metabolic signatures were identified that further divided cancer tissues into two clinically relevant groups, namely ISUP Grade 2 (n = 29) and ISUP Grade 3 (n = 17) tumors. Furthermore, metabolic profiles associated with different tumor subtypes were identified. Tumors with low Ki67 and high PSA (subtype A, n = 21) displayed metabolite patterns significantly different from tumors with high Ki67 and low PSA (subtype B, n = 28). In total, seven metabolites; choline, peak for combined phosphocholine/glycerophosphocholine metabolites (PC + GPC), glycine, creatine, combined signal of glutamate/glutamine (Glx), taurine and lactate, showed significant alterations between PC subtypes A and B. CONCLUSIONS The metabolic profiles of intact biopsies obtained by our non-invasive HR MAS NMR approach together with advanced chemometric tools reliably identified PC and specifically differentiated highly aggressive tumors from less aggressive ones. Thus, this approach has proven the potential of exploiting cancer-specific metabolites in clinical settings for obtaining personalized treatment strategies in PC.
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Affiliation(s)
- Ilona Dudka
- Department of Chemistry, Umeå University, Umeå, Sweden
| | | | - Pernilla Wikström
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden.
| | - Anders Bergh
- Department of Medical Biosciences, Pathology, Umeå University, Umeå, Sweden
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Kong X, Yu J, Zhu Z, Wang C, Zhang R, Qi J, Wang Y, Wang X, Pan S, Liu L, Feng R. Causal associations of histidine and 12 site-specific cancers: a bidirectional Mendelian randomization study. Mol Genet Genomics 2023; 298:1331-1341. [PMID: 37498357 DOI: 10.1007/s00438-023-02057-7] [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: 06/17/2022] [Accepted: 07/19/2023] [Indexed: 07/28/2023]
Abstract
An increasing number of studies indicate that cancer patients' histidine (HIS) circulating levels have changed. However, the causality between HIS and cancer is still not well established. Thus, to ascertain the causal link between HIS and cancers, we performed a bidirectional Mendelian randomization (MR) analysis. Summary-level data are derived from publicly available genome-wide association studies (GWAS). The causal effects were mainly estimated using the inverse-variance weighted method (IVW). The weighted-median (WM) method and MR-Egger regression were conducted as sensitivity analyses. In the forward-MR, we found malignant neoplasm of respiratory system and intrathoracic organs (OR: 1.020; 95% CI: 1.006-1.035; pIVW = 0.007) genetically associated with circulating HIS. And there was no significant genetic correlation between HIS and another 11 site-specific cancers using IVW method. In the reversed-MR, we did not observe the causal relationship between HIS and 12 site-specific cancers. Our findings help clarify that HIS, as a biomarker for malignant neoplasms of respiratory system and intrathoracic organs, is causal rather than a secondary biomarker of the cancerous progression. The mechanism between histidine and cancer progression deserves further investigation.
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Affiliation(s)
- Xiangju Kong
- Department of Gynaecology, First Affiliated Hospital of Harbin Medical University, Harbin, People's Republic of China
| | - Jiaying Yu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Zhuolin Zhu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Cheng Wang
- Department of Environmental Hygiene, Public Health College, Harbin Medical University, Harbin, People's Republic of China
| | - Runan Zhang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Jiayue Qi
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Yiran Wang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Xiaoxin Wang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Sijia Pan
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China
| | - Liyan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China.
| | - Rennan Feng
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Nan Gang District, 157 Baojian Road, Harbin, 150086, People's Republic of China.
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Bansal N, Kumar M, Sankhwar SN, Gupta A. Evaluation of prostate cancer tissue metabolomics: would clinics utilise it for diagnosis? Expert Rev Mol Med 2023; 25:e26. [PMID: 37548191 DOI: 10.1017/erm.2023.22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The difficulty of diagnosing prostate cancer (PC) with the available biomarkers frequently leads to over-diagnosis and overtreatment of PC, underscoring the need for novel molecular signatures. The purpose of this review is to provide a summary of the currently available cellular metabolomics for PC molecular signatures. A comprehensive search on PubMed was conducted to find studies published between January 2004 and August 2022 that reported biomarkers for PC detection, development, aggressiveness, recurrence and treatment response. Although potential studies have reported the presence of distinguishing molecules that can distinguish between benign and cancerous prostate tissue. However, there are few studies looking into signature molecules linked to disease development, therapy response or tumour recurrence. The majority of these studies use high-dimensional datasets, and the number of potential metabolites investigated frequently exceeds the size of the available samples. In light of this, pre-analytical, statistical, methodological and confounding factors such as antiandrogen therapy (NAT) may also be linked to the identified chemometric multivariate differences between PC and relevant control samples in the datasets. Despite the methodological and procedural challenges, a range of methodological groups and processes have consistently identified a number of signature metabolites and pathways that appear to imply a substantial involvement in the cellular metabolomics of PC for tumour formation and recurrence.
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Affiliation(s)
- Navneeta Bansal
- Department of Urology, King George's Medical University, Lucknow, India
| | - Manoj Kumar
- Department of Urology, King George's Medical University, Lucknow, India
| | - Satya N Sankhwar
- Department of Urology, King George's Medical University, Lucknow, India
| | - Ashish Gupta
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
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10
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Dubey R, Sinha N, Jagannathan NR. Potential of in vitro nuclear magnetic resonance of biofluids and tissues in clinical research. NMR IN BIOMEDICINE 2023; 36:e4686. [PMID: 34970810 DOI: 10.1002/nbm.4686] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 11/18/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Body fluids, cells, and tissues contain a wide variety of metabolites that consist of a mixture of various low-molecular-weight compounds, including amino acids, peptides, lipids, nucleic acids, and organic acids, which makes comprehensive analysis more difficult. Quantitative nuclear magnetic resonance (NMR) spectroscopy is a well-established analytical technique for analyzing the metabolic profiles of body fluids, cells, and tissues. It enables fast and comprehensive detection, characterization, a high level of experimental reproducibility, minimal sample preparation, and quantification of various endogenous metabolites. In recent times, NMR-based metabolomics has been appreciably utilized in diverse branches of medicine, including microbiology, toxicology, pathophysiology, pharmacology, nutritional intervention, and disease diagnosis/prognosis. In this review, the utility of NMR-based metabolomics in clinical studies is discussed. The significance of in vitro NMR-based metabolomics as an effective tool for detecting metabolites and their variations in different diseases are discussed, together with the possibility of identifying specific biomarkers that can contribute to early detection and diagnosis of disease.
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Affiliation(s)
- Richa Dubey
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
| | - Neeraj Sinha
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
| | - Naranamangalam R Jagannathan
- Department of Radiology, Chettinad Hospital & Research Institute, Chettinad Academy of Research & Education, Kelambakkam, India
- Department of Radiology, Sri Ramachandra Institute of Higher Education & Research, Chennai, India
- Department of Electrical Engineering, Indian Institute Technology, Madras, Chennai, India
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11
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Systematic Review of NMR-Based Metabolomics Practices in Human Disease Research. Metabolites 2022; 12:metabo12100963. [PMID: 36295865 PMCID: PMC9609461 DOI: 10.3390/metabo12100963] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2022] [Revised: 10/10/2022] [Accepted: 10/10/2022] [Indexed: 12/02/2022] Open
Abstract
Nuclear magnetic resonance (NMR) spectroscopy is one of the principal analytical techniques for metabolomics. It has the advantages of minimal sample preparation and high reproducibility, making it an ideal technique for generating large amounts of metabolomics data for biobanks and large-scale studies. Metabolomics is a popular “omics” technology and has established itself as a comprehensive exploratory biomarker tool; however, it has yet to reach its collaborative potential in data collation due to the lack of standardisation of the metabolomics workflow seen across small-scale studies. This systematic review compiles the different NMR metabolomics methods used for serum, plasma, and urine studies, from sample collection to data analysis, that were most popularly employed over a two-year period in 2019 and 2020. It also outlines how these methods influence the raw data and the downstream interpretations, and the importance of reporting for reproducibility and result validation. This review can act as a valuable summary of NMR metabolomic workflows that are actively used in human biofluid research and will help guide the workflow choice for future research.
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12
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Lv M, Wang L, Guo Y, Yao J. NMR-based metabolomics reveals tissue metabolic responses to tetramethoxy gossypol in cottonseed oil. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2022; 102:6169-6174. [PMID: 35808803 DOI: 10.1002/jsfa.12115] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 06/14/2022] [Accepted: 07/08/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Cottonseed oil is one of the most widely consumed cooking oils because of its high nutritional benefits and relatively low price. The present study evaluated the effects of tetramethoxy gossypol (TMG), a rarely reported degradation product of free gossypol produced in crudely extracted cottonseed oil, on the metabolic responses of liver, heart, spleen, kidney and lung tissues in rats using proton nuclear magnetic resonance (1 H NMR) spectroscopy combined with chemometric and bioinformatics techniques. RESULTS Endogenous low-molecular-weight metabolites in rat liver, heart, spleen, kidney and lung tissues were profiled by 1 H NMR spectroscopy. The unsupervised principal components analysis and the supervised orthogonal partial least squares discriminant analysis revealed that the metabolic profiles in liver samples were greatly changed after TMG administration. Twenty significantly changed liver metabolites were screened out and further evaluated by receiver operating characteristic curve analysis, which were closely related to amino acid, glutathione, energy and lipid metabolism. CONCLUSION Concerning the potential chronic exposure to TMG in cottonseed oil and other cottonseed products, the cumulative effects of dietary TMG on tissues, especially the liver, should be noted when improving the quality control standard of cottonseed oil. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Mengying Lv
- Department of Pharmacy, Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou, China
- Jiangsu Key Laboratory of Experimental & Translational Non-Coding RNA Research, Yangzhou, China
| | - Lei Wang
- School of Pharmacy, Xinjiang Medical University, Urumqi, China
| | - Yujuan Guo
- School of Pharmacy, Xinjiang Medical University, Urumqi, China
| | - Jun Yao
- School of Pharmacy, Xinjiang Medical University, Urumqi, China
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13
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Abrahamsen O, Balslev E, Christensen M, Wibrand F, Budtz‑jørgensen E, Høgdall E. The impact of metabolic supply lines ‑ and the patterns between them‑on the development of distant metastases in 64 women with breast cancer. Oncol Lett 2022; 24:327. [PMID: 35966346 PMCID: PMC9366742 DOI: 10.3892/ol.2022.13447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Accepted: 07/07/2022] [Indexed: 11/06/2022] Open
Abstract
Cancer cells upregulate their metabolism to underlie the increased malignant activity. This requires an increased amount of ‘metabolic building materials’, for example glucose, amino acids etc., which have the blood circulation as their principal supply lines. Targeting these metabolic supply lines, and thus the availability of metabolic building materials in the blood, therefore carries treatment potential. A central observation is that the malignant alterations comprise great complexity and that compensatory mechanisms exist. Therefore, targeted supply lines should presumably constitute specific patterns to achieve therapeutic effect. The aim of the present study was to investigate if such patterns could be seen to correlate with the development of distant metastases. The study was conducted using a case-cohort design. In total, 64 women diagnosed with breast cancer between January 2011 and December 2015 were included. Among these, 32 had developed distant metastases and 32 had not. From a blood sample drawn at the time of diagnosis, the levels of glucose (HbA1c), glutamine, arginine and cystathionine were measured. Cox regression was applied to investigate the impact of the supply lines of these ‘building materials’ and specifically the patterns between them on the development of distant metastases. The results demonstrate a significant impact of the investigated metabolic supply lines, centrally in relation to interaction between them and in relation to the impact of the increased cumulated utilization of multiple supply lines simultaneously. In conclusion, the results indicated that the metabolic supply lines may impact clinical outcome, and, in this regard, the results placed a substantial emphasis on the effect of the patterns between these supply lines.
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Affiliation(s)
- Oliver Abrahamsen
- Department of Pathology, Molecular Unit, Herlev Hospital, University of Copenhagen, 2730 Herlev, Denmark
| | - Eva Balslev
- Department of Pathology, Molecular Unit, Herlev Hospital, University of Copenhagen, 2730 Herlev, Denmark
| | - Mette Christensen
- Department of Clinical Genetics, Metabolic Laboratory, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Flemming Wibrand
- Department of Clinical Genetics, Metabolic Laboratory, Rigshospitalet, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Esben Budtz‑jørgensen
- Department of Public Health, Section of Biostatistics, University of Copenhagen, 1353 Copenhagen, Denmark
| | - Estrid Høgdall
- Department of Pathology, Molecular Unit, Herlev Hospital, University of Copenhagen, 2730 Herlev, Denmark
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14
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Relevance of Emerging Metabolomics-Based Biomarkers of Prostate Cancer: A Systematic Review. Expert Rev Mol Med 2022; 24:e25. [PMID: 35730322 DOI: 10.1017/erm.2022.20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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15
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Zhang X, Xia B, Zheng H, Ning J, Zhu Y, Shao X, Liu B, Dong B, Gao H. Identification of characteristic metabolic panels for different stages of prostate cancer by 1H NMR-based metabolomics analysis. Lab Invest 2022; 20:275. [PMID: 35715864 PMCID: PMC9205125 DOI: 10.1186/s12967-022-03478-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 06/11/2022] [Indexed: 12/14/2022]
Abstract
Background Prostate cancer (PCa) is the second most prevalent cancer in males worldwide, yet detecting PCa and its metastases remains a major challenging task in clinical research setups. The present study aimed to characterize the metabolic changes underlying the PCa progression and investigate the efficacy of related metabolic panels for an accurate PCa assessment. Methods In the present study, 75 PCa subjects, 62 PCa patients with bone metastasis (PCaB), and 50 benign prostatic hyperplasia (BPH) patients were enrolled, and we performed a cross-sectional metabolomics analysis of serum samples collected from these subjects using a 1H nuclear magnetic resonance (NMR)-based metabolomics approach. Results Multivariate analysis revealed that BPH, PCa, and PCaB groups showed distinct metabolic divisions, while univariate statistics integrated with variable importance in the projection (VIP) scores identified a differential metabolite series, which included energy, amino acid, and ketone body metabolism. Herein, we identified a series of characteristic serum metabolic changes, including decreased trends of 3-HB and acetone as well as elevated trends of alanine in PCa patients compared with BPH subjects, while increased levels of 3-HB and acetone as well as decreased levels of alanine in PCaB patients compared with PCa. Additionally, our results also revealed the metabolic panels of discriminant metabolites coupled with the clinical parameters (age and body mass index) for discrimination between PCa and BPH, PCaB and BPH, PCaB and PCa achieved the AUC values of 0.828, 0.917, and 0.872, respectively. Conclusions Overall, our study gave successful discrimination of BPH, PCa and PCaB, and we characterized the potential metabolic alterations involved in the PCa progression and its metastases, including 3-HB, acetone and alanine. The defined biomarker panels could be employed to aid in the diagnosis and classification of PCa in clinical practice. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-022-03478-5.
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Affiliation(s)
- Xi Zhang
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Binbin Xia
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Hong Zheng
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Jie Ning
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Yinjie Zhu
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiaoguang Shao
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Binrui Liu
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China
| | - Baijun Dong
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China.
| | - Hongchang Gao
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, 325035, China. .,Key Laboratory of Alzheimer's Disease of Zhejiang Province, Institute of Aging, Wenzhou Medical University, Wenzhou, Zhejiang, China. .,Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou, 325000, China.
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16
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Metabolic Profiling of Thymic Epithelial Tumors Hints to a Strong Warburg Effect, Glutaminolysis and Precarious Redox Homeostasis as Potential Therapeutic Targets. Cancers (Basel) 2022; 14:cancers14061564. [PMID: 35326714 PMCID: PMC8945961 DOI: 10.3390/cancers14061564] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 03/11/2022] [Accepted: 03/15/2022] [Indexed: 02/05/2023] Open
Abstract
Simple Summary Thymomas and thymic carcinomas (TCs) are malignant thymic epithelial tumors (TETs) with poor outcome, if non-resectable. Metabolic signatures of TETs have not yet been studied and may offer new therapeutic options. This is the first metabolomics investigation on thymic epithelial tumors employing nuclear magnetic resonance spectroscopy of tissue samples. We could detect and quantify up to 37 metabolites in the major tumor subtypes, including acetylcholine that was not previously detected in other non-endocrine cancers. A metabolite-based cluster analysis distinguished three clinically relevant tumor subgroups, namely indolent and aggressive thymomas, as well as TCs. A metabolite-based metabolic pathway analysis also gave hints to activated metabolic pathways shared between aggressive thymomas and TCs. This finding was largely backed by enrichment of these pathways at the transcriptomic level in a large, publicly available, independent TET dataset. Due to the differential expression of metabolites in thymic epithelial tumors versus normal thymus, pathways related to proline, cysteine, glutathione, lactate and glutamine appear as promising therapeutic targets. From these findings, inhibitors of glutaminolysis and of the downstream TCA cycle are anticipated to be rational therapeutic strategies. If our results can be confirmed in future, sufficiently powered studies, metabolic signatures may contribute to the identification of new therapeutic options for aggressive thymomas and TCs. Abstract Thymomas and thymic carcinomas (TC) are malignant thymic epithelial tumors (TETs) with poor outcome, if non-resectable. Metabolic signatures of TETs have not yet been studied and may offer new therapeutic options. Metabolic profiles of snap-frozen thymomas (WHO types A, AB, B1, B2, B3, n = 12) and TCs (n = 3) were determined by high resolution magic angle spinning 1H nuclear magnetic resonance (HRMAS 1H-NMR) spectroscopy. Metabolite-based prediction of active KEGG metabolic pathways was achieved with MetPA. In relation to metabolite-based metabolic pathways, gene expression signatures of TETs (n = 115) were investigated in the public “The Cancer Genome Atlas” (TCGA) dataset using gene set enrichment analysis. Overall, thirty-seven metabolites were quantified in TETs, including acetylcholine that was not previously detected in other non-endocrine cancers. Metabolite-based cluster analysis distinguished clinically indolent (A, AB, B1) and aggressive TETs (B2, B3, TCs). Using MetPA, six KEGG metabolic pathways were predicted to be activated, including proline/arginine, glycolysis and glutathione pathways. The activated pathways as predicted by metabolite-profiling were generally enriched transcriptionally in the independent TCGA dataset. Shared high lactic acid and glutamine levels, together with associated gene expression signatures suggested a strong “Warburg effect”, glutaminolysis and redox homeostasis as potential vulnerabilities that need validation in a large, independent cohort of aggressive TETs. If confirmed, targeting metabolic pathways may eventually prove as adjunct therapeutic options in TETs, since the metabolic features identified here are known to confer resistance to cisplatin-based chemotherapy, kinase inhibitors and immune checkpoint blockers, i.e., currently used therapies for non-resectable TETs.
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17
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Metabolic Phenotyping in Prostate Cancer Using Multi-Omics Approaches. Cancers (Basel) 2022; 14:cancers14030596. [PMID: 35158864 PMCID: PMC8833769 DOI: 10.3390/cancers14030596] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 01/14/2022] [Accepted: 01/20/2022] [Indexed: 12/17/2022] Open
Abstract
Prostate cancer (PCa), one of the most frequently diagnosed cancers among men worldwide, is characterized by a diverse biological heterogeneity. It is well known that PCa cells rewire their cellular metabolism to meet the higher demands required for survival, proliferation, and invasion. In this context, a deeper understanding of metabolic reprogramming, an emerging hallmark of cancer, could provide novel opportunities for cancer diagnosis, prognosis, and treatment. In this setting, multi-omics data integration approaches, including genomics, epigenomics, transcriptomics, proteomics, lipidomics, and metabolomics, could offer unprecedented opportunities for uncovering the molecular changes underlying metabolic rewiring in complex diseases, such as PCa. Recent studies, focused on the integrated analysis of multi-omics data derived from PCa patients, have in fact revealed new insights into specific metabolic reprogramming events and vulnerabilities that have the potential to better guide therapy and improve outcomes for patients. This review aims to provide an up-to-date summary of multi-omics studies focused on the characterization of the metabolomic phenotype of PCa, as well as an in-depth analysis of the correlation between changes identified in the multi-omics studies and the metabolic profile of PCa tumors.
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18
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Jagannathan N, Reddy RR. Potential of nuclear magnetic resonance metabolomics in the study of prostate cancer. Indian J Urol 2022; 38:99-109. [PMID: 35400867 PMCID: PMC8992727 DOI: 10.4103/iju.iju_416_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 12/16/2021] [Accepted: 02/09/2022] [Indexed: 12/24/2022] Open
Abstract
Nuclear magnetic resonance (NMR) metabolomics is a powerful analytical technique and a tool which has unique characteristics and capabilities for the evaluation of a number of biochemicals/metabolites of cancer and other disease processes that are present in biofluids (urine and blood) and tissues. The potential of NMR metabolomics in prostate cancer (PCa) has been explored by researchers and its usefulness has been documented. A large number of metabolites such as citrate, choline, and sarcosine were detected by NMR metabolomics from biofluids and tissues related to PCa and their levels were compared with controls and benign prostatic hyperplasia. The changes in the levels of these metabolites aid in the diagnosis and help to understand the dysregulated metabolic pathways in PCa. We review recent studies on in vitro and ex vivo NMR spectroscopy-based PCa metabolomics and its possible role as a diagnostic tool.
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19
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Kumar D, Nath K, Lal H, Gupta A. Noninvasive urine metabolomics of prostate cancer and its therapeutic approaches: a current scenario and future perspective. Expert Rev Proteomics 2021; 18:995-1008. [PMID: 34821179 DOI: 10.1080/14789450.2021.2011225] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
INTRODUCTION The sensitive, specific, fast, robust and noninvasive biomarkers for the evaluation of prostate cancer (PC) remain elusive in medical research. However, efforts are in full sway to investigate and resolve these puzzles for clinical practice. Advances in modern analytical techniques, sample processing, and the emergence of multiple omics approaches have created a great hope for the development of better detection modalities for PC. The objective of the present review is to provide a concise overview of the PC metabolomics-based potential discriminating molecules in urine samples using nuclear magnetic resonance spectroscopy and mass spectrometry. AREA COVERED A literature search was executed to find the studies reporting the noninvasive urine-based biomarkers for the diagnosis and prognosis of underlying disease. Most studies have extensivelyreported PC discriminating molecules with their respective controls. Additionally, pathophysiology and the treatment paradigm of PC are summarized and related to the insights underpinning the therapeutic intervention of PC. EXPERT OPINION With multi-centric, global, comprehensive omics approaches via either a non- or least-invasive bio-matrix may open new avenues of research for PC biomarker discovery, backed by a molecular mechanistic outline.
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Affiliation(s)
- Deepak Kumar
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
| | - Kavindra Nath
- Department of Radiology, University of Pennsylvania, Philadelphia, PA, USA
| | - Hira Lal
- Department of Radiodiagnosis, Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow, India
| | - Ashish Gupta
- Centre of Biomedical Research, SGPGIMS Campus, Lucknow, India
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20
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Lima AR, Carvalho M, Aveiro SS, Melo T, Domingues MR, Macedo-Silva C, Coimbra N, Jerónimo C, Henrique R, Bastos MDL, Guedes de Pinho P, Pinto J. Comprehensive Metabolomics and Lipidomics Profiling of Prostate Cancer Tissue Reveals Metabolic Dysregulations Associated with Disease Development. J Proteome Res 2021; 21:727-739. [PMID: 34813334 DOI: 10.1021/acs.jproteome.1c00754] [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] [Indexed: 12/13/2022]
Abstract
Prostate cancer (PCa) is a global health problem that affects millions of men every year. In the past decade, metabolomics and related subareas, such as lipidomics, have demonstrated an enormous potential to identify novel mechanisms underlying PCa development and progression, providing a good basis for the development of new and more effective therapies and diagnostics. In this study, a multiplatform metabolomics and lipidomics approach, combining untargeted mass spectrometry (MS) and nuclear magnetic resonance (NMR)-based techniques, was applied to PCa tissues to investigate dysregulations associated with PCa development, in a cohort of 40 patients submitted to radical prostatectomy for PCa. Results revealed significant alterations in the levels of 26 metabolites and 21 phospholipid species in PCa tissue compared with adjacent nonmalignant tissue, suggesting dysregulation in 13 metabolic pathways associated with PCa development. The most affected metabolic pathways were amino acid metabolism, nicotinate and nicotinamide metabolism, purine metabolism, and glycerophospholipid metabolism. A clear interconnection between metabolites and phospholipid species participating in these pathways was observed through correlation analysis. Overall, these dysregulations may reflect the reprogramming of metabolic responses to produce high levels of cellular building blocks required for rapid PCa cell proliferation.
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Affiliation(s)
- Ana Rita Lima
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Márcia Carvalho
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,FP-I3ID, FP-ENAS, CEBIMED, University Fernando Pessoa, 4249-004 Porto, Portugal.,Faculty of Health Sciences, Fernando Pessoa University, 4200-150 Porto, Portugal
| | - Susana S Aveiro
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,GreenCoLab - Green Ocean Association, University of Algarve, 8005-139 Faro, Portugal
| | - Tânia Melo
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - M Rosário Domingues
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal.,Centre for Environmental and Marine Studies, CESAM, Department of Chemistry, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Catarina Macedo-Silva
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Nuno Coimbra
- Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal.,Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal
| | - Rui Henrique
- Cancer Biology & Epigenetics Group, Research Center (CI-IPOP) Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal.,Department of Pathology and Molecular Immunology, ICBAS - School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal.,Department of Pathology, Portuguese Oncology Institute of Porto (IPO Porto) & Porto Comprehensive Cancer Center (Porto.CCC), 4200-072 Porto, Portugal
| | - Maria de Lourdes Bastos
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Paula Guedes de Pinho
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
| | - Joana Pinto
- Associate Laboratory i4HB - Institute for Health and Bioeconomy, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal.,UCIBIO/REQUIMTE, Department of Biological Sciences, Laboratory of Toxicology, Faculty of Pharmacy, University of Porto, 4050-313 Porto, Portugal
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Amalric A, Bastide A, Attina A, Choquet A, Vialaret J, Lehmann S, David A, Hirtz C. Quantifying RNA modifications by mass spectrometry: a novel source of biomarkers in oncology. Crit Rev Clin Lab Sci 2021; 59:1-18. [PMID: 34473579 DOI: 10.1080/10408363.2021.1958743] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Despite significant progress in targeted therapies, cancer recurrence remains a major cause of mortality worldwide. Identification of accurate biomarkers, through molecular profiling in healthy and cancer patient samples, will improve diagnosis and promote personalized medicine. While genetic and epigenetic alterations of DNA are currently exploited as cancer biomarkers, their robustness is limited by tumor heterogeneity. Recently, cancer-associated changes in RNA marks have emerged as a promising source of diagnostic and prognostic biomarkers. RNA epigenetics (also known as epitranscriptomics) is an emerging field in which at least 150 chemical modifications in all types of RNA (mRNA, tRNA, lncRNA, rRNA, and microRNA) have been detected. These modifications fine-tune gene expression in both physiological and pathological processes. A growing number of studies have established links between specific modified nucleoside levels in solid/liquid biopsies, and cancer onset and progression. In this review, we highlight the potential role of epitranscriptomic markers in refining cancer diagnosis and/or prognosis. RNA modification patterns may contain important information for establishing an initial diagnosis, monitoring disease evolution, and predicting response to treatment. Furthermore, recent developments in mass spectrometry allow reliable quantification of RNA marks in solid biopsies and biological fluids. We discuss the great potential of mass spectrometry for identifying epitranscriptomic biomarker signatures in cancer diagnosis. While there are various methods to quantify modified nucleosides, most are unable to detect and quantify more than one type of RNA modification at a time. Mass spectrometry analyses, especially GC-MS/MS and LC-MS/MS, overcome this limitation and simultaneously detect modified nucleosides by multiple reaction monitoring. Indeed, several groups are currently validating mass spectrometry methods that quantify several nucleosides at one time in liquid biopsies. The challenge now is to exploit these powerful analytical tools to establish epitranscriptomic signatures that should open new perspectives in personalized medicine. This review summarizes the growing clinical field of analysis of RNA modifications and discusses pre-analytical and analytical approaches, focusing in particular on the development of new mass spectrometry tools and their clinical applications.
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Affiliation(s)
- Amandine Amalric
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France.,University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France
| | - Amandine Bastide
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Aurore Attina
- University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France
| | - Armelle Choquet
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France
| | - Jerome Vialaret
- University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France
| | - Sylvain Lehmann
- University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France
| | - Alexandre David
- IGF, University of Montpellier, CNRS, INSERM, Montpellier, France.,University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France
| | - Christophe Hirtz
- University of Montpellier, IRMB-PPC, INM, CHU Montpellier, INSERM CNRS, Montpellier, France
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22
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Lima AR, Pinto J, Amaro F, Bastos MDL, Carvalho M, Guedes de Pinho P. Advances and Perspectives in Prostate Cancer Biomarker Discovery in the Last 5 Years through Tissue and Urine Metabolomics. Metabolites 2021; 11:181. [PMID: 33808897 PMCID: PMC8003702 DOI: 10.3390/metabo11030181] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 03/10/2021] [Accepted: 03/17/2021] [Indexed: 02/07/2023] Open
Abstract
Prostate cancer (PCa) is the second most diagnosed cancer in men worldwide. For its screening, serum prostate specific antigen (PSA) test has been largely performed over the past decade, despite its lack of accuracy and inability to distinguish indolent from aggressive disease. Metabolomics has been widely applied in cancer biomarker discovery due to the well-known metabolic reprogramming characteristic of cancer cells. Most of the metabolomic studies have reported alterations in urine of PCa patients due its noninvasive collection, but the analysis of prostate tissue metabolome is an ideal approach to disclose specific modifications in PCa development. This review aims to summarize and discuss the most recent findings from tissue and urine metabolomic studies applied to PCa biomarker discovery. Eighteen metabolites were found consistently altered in PCa tissue among different studies, including alanine, arginine, uracil, glutamate, fumarate, and citrate. Urine metabolomic studies also showed consistency in the dysregulation of 15 metabolites and, interestingly, alterations in the levels of valine, taurine, leucine and citrate were found in common between urine and tissue studies. These findings unveil that the impact of PCa development in human metabolome may offer a promising strategy to find novel biomarkers for PCa diagnosis.
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Affiliation(s)
- Ana Rita Lima
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Joana Pinto
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Filipa Amaro
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Maria de Lourdes Bastos
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
| | - Márcia Carvalho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
- UFP Energy, Environment and Health Research Unit (FP-ENAS), University Fernando Pessoa, Praça Nove de Abril, 349, 4249-004 Porto, Portugal
- Faculty of Health Sciences, University Fernando Pessoa, Rua Carlos da Maia, 296, 4200-150 Porto, Portugal
| | - Paula Guedes de Pinho
- UCIBIO/REQUIMTE, Laboratory of Toxicology, Department of Biological Sciences, Faculty of Pharmacy, University of Porto, Rua Jorge Viterbo Ferreira, 228, 4050-313 Porto, Portugal; (J.P.); (F.A.); (M.d.L.B.)
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Zheng H, Zhu Y, Shao X, Cai A, Dong B, Xue W, Gao H. Distinct Metabolic Signatures of Hormone-Sensitive and Castration-Resistant Prostate Cancer Revealed by a 1H NMR-Based Metabolomics of Biopsy Tissue. J Proteome Res 2020; 19:3741-3749. [PMID: 32702989 DOI: 10.1021/acs.jproteome.0c00282] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Affiliation(s)
- Hong Zheng
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Yinjie Zhu
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Xiaoguang Shao
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Aimin Cai
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Baijun Dong
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Wei Xue
- Department of Urology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China
| | - Hongchang Gao
- School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
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24
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Viana LR, Lopes-Aguiar L, Rossi Rosolen R, Willians dos Santos R, Cintra Gomes-Marcondes MC. 1H-NMR Based Serum Metabolomics Identifies Different Profile between Sarcopenia and Cancer Cachexia in Ageing Walker 256 Tumour-Bearing Rats. Metabolites 2020; 10:metabo10040161. [PMID: 32326296 PMCID: PMC7240940 DOI: 10.3390/metabo10040161] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/18/2020] [Accepted: 03/25/2020] [Indexed: 12/16/2022] Open
Abstract
Sarcopenia among the older population has been growing over the last few years. In addition, the incidence of cancers increases with age and, consequently, the development of cachexia related cancer. Therefore, the elucidation of the metabolic derangements of sarcopenia and cachexia are important to improve the survival and life quality of cancer patients. We performed the 1H-NMR based serum metabolomics in adult (A) and ageing (S) Walker 256 tumour-bearing rats in different stages of tumour evolution, namely intermediated (Wi) and advanced (Wa). Among 52 serum metabolites that were identified, 21 were significantly increased in S and 14 and 19 decreased in the Wi and Wa groups, respectively. The most impacted pathways by this metabolic alteration were related by amino acid biosynthesis and metabolism, with an upregulation in S group and downregulation in Wi and Wa groups. Taken together, our results suggest that the increase in metabolic profile in ageing rats is associated with the higher muscle protein degradation that releases several metabolites, especially amino acids into the serum. On the other hand, we hypothesise that the majority of metabolites released by muscle catabolism are used by tumours to sustain rapid cell proliferation and tumorigenesis.
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