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Cai Y, Wang Z, Guo S, Lin C, Yao H, Yang Q, Wang Y, Yu X, He X, Sun W, Qiu S, Guo Y, Tang S, Xie Y, Zhang A. Detection, mechanisms, and therapeutic implications of oncometabolites. Trends Endocrinol Metab 2023; 34:849-861. [PMID: 37739878 DOI: 10.1016/j.tem.2023.08.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 08/10/2023] [Accepted: 08/28/2023] [Indexed: 09/24/2023]
Abstract
Metabolic abnormalities are a hallmark of cancer cells and are essential to tumor progression. Oncometabolites have pleiotropic effects on cancer biology and affect a plethora of processes, from oncogenesis and metabolism to therapeutic resistance. Targeting oncometabolites, therefore, could offer promising therapeutic avenues against tumor growth and resistance to treatments. Recent advances in characterizing the metabolic profiles of cancer cells are shedding light on the underlying mechanisms and associated metabolic networks. This review summarizes the diverse detection methods, molecular mechanisms, and therapeutic targets of oncometabolites, which may lead to targeting oncometabolism for cancer therapy.
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Affiliation(s)
- Ying Cai
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China; Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China
| | - Zhibo Wang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China; Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China
| | - Sifan Guo
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China; Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China
| | - Chunsheng Lin
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Hong Yao
- First Affiliated Hospital, Harbin Medical University, Harbin, China
| | - Qiang Yang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China
| | - Yan Wang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China
| | - Xiaodan Yu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China
| | - Xiaowen He
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China
| | - Wanying Sun
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China
| | - Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China.
| | - Yu Guo
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China.
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China.
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China.
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital, Key Laboratory of Tropical Cardiovascular Diseases Research of Hainan Province, International Joint Research Center on Traditional Chinese and Modern Medicine, Hainan Medical University, Haikou 571199, China; Graduate School, Heilongjiang University of Chinese Medicine, Harbin 150040, China.
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Ye L, Zhang HM, Zhou BJ, Tang W, Zhou JL. Advancements in Analyzing Tumor Metabolites through Chemical Derivatization-Based Chromatography. J Chromatogr A 2023; 1706:464236. [PMID: 37506465 DOI: 10.1016/j.chroma.2023.464236] [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: 06/19/2023] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 07/30/2023]
Abstract
Understanding the metabolic abnormalities of tumors is crucial for early diagnosis, prognosis, and treatment. Accurate identification and quantification of metabolites in biological samples are essential to investigate the relationship between metabolite variations and tumor development. Common techniques like LC-MS and GC-MS face challenges in measuring aberrant metabolites in tumors due to their strong polarity, isomerism, or low ionization efficiency during MS detection. Chemical derivatization of metabolites offers an effective solution to overcome these challenges. This review focuses on the difficulties encountered in analyzing aberrant metabolites in tumors, the principles behind chemical derivatization methods, and the advancements in analyzing tumor metabolites using derivatization-based chromatography. It serves as a comprehensive reference for understanding the analysis and detection of tumor metabolites, particularly those that are highly polar and exhibit low ionization efficiency.
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Affiliation(s)
- Lu Ye
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China
| | - Hua-Min Zhang
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China
| | - Bing-Jun Zhou
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China
| | - Weiyang Tang
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China.
| | - Jian-Liang Zhou
- School of Pharmacy, Hangzhou Normal University, Hangzhou 311121, China; Key Laboratory of Elemene Class Anti-Cancer Chinese Medicines; Engineering Laboratory of Development and Application of Traditional Chinese Medicines; Collaborative Innovation Center of Traditional Chinese Medicines of Zhejiang Province, Hangzhou Normal University, Hangzhou 311121, China.
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Chang J, Li X, Xia Q, Yang S, Zhang H, Yang H. Potential values of formalin-fixed paraffin-embedded tissues for intratumoral microbiome analysis in breast cancer. Heliyon 2023; 9:e16267. [PMID: 37265628 PMCID: PMC10230216 DOI: 10.1016/j.heliyon.2023.e16267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 05/06/2023] [Accepted: 05/11/2023] [Indexed: 06/03/2023] Open
Abstract
Breast cancer (BC) tissues have been proved to harbor microorganisms, which could potentially contribute to oncogenesis. Formalin-fixed paraffin-embedded (FFPE) tissues are the most widespread clinical samples in BC research. To verify the potential of FFPE tissues in microbiological analysis, we analyzed the microbial communities of FFPE and fresh frozen (FF) tumor samples from 30 participants diagnosed with BC deploying 16S rRNA sequencing. The operational taxonomic units (OTUs) analysis showed that 78.55% of OTUs in FFPE samples were consistent with FF samples. The composition of core bacteria did not change much, and there is also no difference in alpha diversity between FFPE and FF (without unclassified bacteria). Taxonomic variation results show that Firmicutes and Bacteroidota phyla, and their major classes, maintained the same proportion under two preservation methods. In addition, the major class Gammaproteobacteria, as well as its dominant orders Burkholderiales and Pseudomonadales all showed no significant difference in paired analysis. Moreover, the Proteobacteria and Actinobacteriota phyla showed no significant difference between FFPE and FF samples after subtracting unclassified bacteria. Therefore, premised with the intrinsic tumor heterogeneity and unclassified bacteria, there are potential values of FFPE tissues for intratumoral microbiome analysis in breast cancer.
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Affiliation(s)
- Jing Chang
- School of Life Sciences, Northwestern Polytechnical University, 127th Youyi Rd., Xi'an 710072, Shaanxi, China
- Medical Service Office, Affiliated Cancer Hospital of Zhengzhou University, 127th Dongming Rd., Zhengzhou 450000, Henan, China
| | - Xiang Li
- School of Life Sciences, Northwestern Polytechnical University, 127th Youyi Rd., Xi'an 710072, Shaanxi, China
- Center of Special Environmental Biomechanics & Biomedical Engineering, Northwestern Polytechnical University, 127th Youyi Rd., Xi'an 710072, Shaanxi, China
| | - Qingxin Xia
- Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, 127th Dongming Rd., Zhengzhou 450000, Henan, China
| | - Shumin Yang
- Medical Service Office, Affiliated Cancer Hospital of Zhengzhou University, 127th Dongming Rd., Zhengzhou 450000, Henan, China
| | - He Zhang
- Department of Pathology, Affiliated Cancer Hospital of Zhengzhou University, 127th Dongming Rd., Zhengzhou 450000, Henan, China
| | - Hui Yang
- School of Life Sciences, Northwestern Polytechnical University, 127th Youyi Rd., Xi'an 710072, Shaanxi, China
- Center of Special Environmental Biomechanics & Biomedical Engineering, Northwestern Polytechnical University, 127th Youyi Rd., Xi'an 710072, Shaanxi, China
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Hodek O, Henderson J, Argemi-Muntadas L, Khan A, Moritz T. Structural elucidation of 3-nitrophenylhydrazine derivatives of tricarboxylic acid cycle acids and optimization of their fragmentation to boost sensitivity in liquid chromatography-mass spectrometry. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1222:123719. [PMID: 37060816 DOI: 10.1016/j.jchromb.2023.123719] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/06/2023] [Accepted: 04/09/2023] [Indexed: 04/17/2023]
Abstract
Carboxylic acids participate in many metabolic pathways including tricarboxylic acid (TCA) cycle. Therefore, there have been ongoing attempts to develop sensitive liquid chromatography-mass spectrometry methods over the last decades. Derivatization of the carboxylic acids with 3-nitrophenylhydrazine presents a well-established methodology, and yet the derivatized species of polycarboxylic acids and their fragmentation in collision-induced dissociation have not been fully studied before. In our study, we elucidated how annotation of most abundant 3-nitrophenylhydrazine derivatives and optimization of their fragmentation in multiple reaction monitoring can boost the sensitivity, especially for polycarboxylic acids. Finally, the optimized liquid chromatography-tandem mass spectrometry method allowed for low detection limits ranging from 10 pM for 2-oxoglutaric acid to 800 pM for pyruvic acid. All TCA carboxylates were quantified in 20 µL of human plasma and the targeted method was validated in the same matrix. The same methodology with a modified gradient elution was also applied to untargeted screening of fatty acids by using high-resolution mass spectrometry enabling identification of 29 medium- to long-chain fatty acids in human plasma. The TCA carboxylates were also quantified in 105 of C2C12 mouse myuotube cells grown under different treatments to proof applicability of the methodology to biological studies in a wider sense. However, unfortunately all the TCA carboxylates were also found in the derivatized blanks in substantial amounts, which prevents from using the methodology for quantification of the carboxylates in less than 105 cells.
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Affiliation(s)
- Ondřej Hodek
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Linnaeus väg 6, 907 36 Umeå, Sweden; Swedish Metabolomics Centre (SMC), Umeå, Sweden.
| | - John Henderson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Lidia Argemi-Muntadas
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Adnan Khan
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark
| | - Thomas Moritz
- Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, Linnaeus väg 6, 907 36 Umeå, Sweden; Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen N, Denmark.
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Characterization of Domiphen Bromide as a New Fast-Acting Antiplasmodial Agent Inhibiting the Apicoplastidic Methyl Erythritol Phosphate Pathway. Pharmaceutics 2022; 14:pharmaceutics14071320. [PMID: 35890216 PMCID: PMC9319574 DOI: 10.3390/pharmaceutics14071320] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 06/16/2022] [Accepted: 06/18/2022] [Indexed: 11/17/2022] Open
Abstract
The evolution of resistance by the malaria parasite to artemisinin, the key component of the combination therapy strategies that are at the core of current antimalarial treatments, calls for the urgent identification of new fast-acting antimalarials. The apicoplast organelle is a preferred target of antimalarial drugs because it contains biochemical processes absent from the human host. Fosmidomycin is the only drug in clinical trials targeting the apicoplast, where it inhibits the methyl erythritol phosphate (MEP) pathway. Here, we characterized the antiplasmodial activity of domiphen bromide (DB), another MEP pathway inhibitor with a rapid mode of action that arrests the in vitro growth of Plasmodium falciparum at the early trophozoite stage. Metabolomic analysis of the MEP pathway and Krebs cycle intermediates in 20 µM DB-treated parasites suggested a rapid activation of glycolysis with a concomitant decrease in mitochondrial activity, consistent with a rapid killing of the pathogen. These results present DB as a model compound for the development of new, potentially interesting drugs for future antimalarial combination therapies.
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Alves MVS, Maciel LIL, Ramalho RRF, Lima LAS, Vaz BG, Morais CLM, Passos JOS, Pegado R, Lima KMG. Multivariate classification techniques and mass spectrometry as a tool in the screening of patients with fibromyalgia. Sci Rep 2021; 11:22625. [PMID: 34799667 PMCID: PMC8604931 DOI: 10.1038/s41598-021-02141-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 10/29/2021] [Indexed: 11/09/2022] Open
Abstract
Fibromyalgia is a rheumatological disorder that causes chronic pain and other symptomatic conditions such as depression and anxiety. Despite its relevance, the disease still presents a complex diagnosis where the doctor needs to have a correct clinical interpretation of the symptoms. In this context, it is valid to study tools that assist in the screening of this disease, using chemical work techniques such as mass spectroscopy. In this study, an analytical method is proposed to detect individuals with fibromyalgia (n = 20, 10 control samples and 10 samples with fibromyalgia) from blood plasma samples analyzed by mass spectrometry with paper spray ionization and subsequent multivariate classification of the spectral data (unsupervised and supervised), in addition to the treatment of selected variables with possible associations with metabolomics. Exploratory analysis with principal component analysis (PCA) and supervised analysis with successive projections algorithm with linear discriminant analysis (SPA-LDA) showed satisfactory results with 100% accuracy for sample prediction in both groups. This demonstrates that this combination of techniques can be used as a simple, reliable and fast tool in the development of clinical diagnosis of Fibromyalgia.
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Affiliation(s)
- Marcelo V S Alves
- Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59072-970, Brazil
| | - Lanaia I L Maciel
- Institute of Chemistry, Federal University of Goiás, Samambaia St., Goiânia, GO, 74690-900, Brazil
| | - Ruver R F Ramalho
- Institute of Chemistry, Federal University of Goiás, Samambaia St., Goiânia, GO, 74690-900, Brazil
| | - Leomir A S Lima
- Estácio de Sá Goiás, North Regional, Goiânia, GO, 74063-010, Brazil
| | - Boniek G Vaz
- Institute of Chemistry, Federal University of Goiás, Samambaia St., Goiânia, GO, 74690-900, Brazil
| | - Camilo L M Morais
- School of Pharmacy and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE, UK
| | - João O S Passos
- Postgraduation Program in Rehabilitation Sciences, Faculty of Health Science of Trairí, Federal University of Rio Grande do Norte, Trairí St., Santa Cruz, RN, 59200-000, Brazil
| | - Rodrigo Pegado
- Postgraduation Program in Rehabilitation Sciences, Faculty of Health Science of Trairí, Federal University of Rio Grande do Norte, Trairí St., Santa Cruz, RN, 59200-000, Brazil
| | - Kássio M G Lima
- Institute of Chemistry, Biological Chemistry and Chemometrics, Federal University of Rio Grande do Norte, Natal, 59072-970, Brazil.
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