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Lai J, Zhang H, Li H, Li F, Huang D, Huang D, Zhao X, Wang Y, Jiang C, Huang R, Hao H, Wu B, Wu D. Neonatal necrotizing enterocolitis attenuates adult asthma via eosinophil ferroptosis. Cell Signal 2025:111878. [PMID: 40383176 DOI: 10.1016/j.cellsig.2025.111878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2025] [Revised: 05/08/2025] [Accepted: 05/15/2025] [Indexed: 05/20/2025]
Abstract
BACKGROUND Necrotizing enterocolitis (NEC) is a severe gastrointestinal disorder primarily affecting preterm infants. Early-life exposure to NEC may influence asthma severity in adulthood through various mechanisms, yet significant research gaps remain in animal model studies of this relationship. This study aims to elucidate preliminary findings that early NEC exposure may attenuate subsequent asthma-related inflammation via animal models and proposes eosinophil ferroptosis as a potential mechanism underlying this effect. METHODS NEC was induced in neonatal C57/BL6 mice, followed by ovalbumin (OVA)-sensitized asthma model induction in adulthood. Comprehensive evaluations were performed using lung histopathology, immune cell profiling, lipidomics, and transcriptomics. Transmission electron microscopy, lipid peroxidation assays, and ferroptosis-related protein expression analyses were employed to validate eosinophil ferroptosis. Ferroptosis modulators were tested in NEC/asthma mice. Ferroptosis activator/inhibitor-pretreated eosinophils were infused into asthmatic mice lungs through bronchial instillation to assess their impact on asthma severity in vivo. RESULTS NEC-exposed mice exhibited alveolar simplification and inflammatory exudation as primary lung pathological changes. Persistent lipid metabolic dysregulation and reduced pulmonary eosinophils were observed in NEC-exposed mice, persisting into adulthood asthma. In adult asthma models, NEC pretreatment significantly alleviated airway inflammation, mucus secretion, and collagen deposition. NEC exerted protective effects by inducing eosinophil ferroptosis, characterized by mitochondrial atrophy, elevated lipid peroxidation, and altered ferroptosis-related protein expression. Transcriptomic analysis revealed downregulated inflammatory pathway genes and upregulated cilia motility-related genes in NEC-exposed asthmatic mice. Ferroptosis inhibitors significantly suppressed intestinal inflammation in NEC and pulmonary inflammation in asthmatic mice, while inhibiting eosinophil ferroptosis. Conversely, ferroptosis activators exacerbated both intestinal and pulmonary inflammation and eosinophil ferroptosis. Eosinophils pretreated with ferroptosis activators, when reinfused into asthmatic mice, synergized with dexamethasone to reduce asthma airway inflammation severity. CONCLUSION Early NEC exposure may attenuate asthma severity by triggering eosinophil ferroptosis. This study is the first to propose ferroptosis as a potential link between NEC and asthma alleviation, with causality further validated using ferroptosis modulators and eosinophil-specific ferroptosis regulation experiments. These findings establish a mechanistic framework, providing theoretical support for exploring eosinophil ferroptosis as a new therapeutic target for asthma.
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Affiliation(s)
- Jiahao Lai
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Hao Zhang
- Department of General Surgery (Pancreatic Hepatobiliary Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, China
| | - Hongfu Li
- Department of Pediatrics,The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, China
| | - Fei Li
- Department of Pediatrics,The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China; Inborn Errors of Metabolism Laboratory, The Sixth Affiliated Hospital, Sun Yat sen University, Guangzhou, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, China
| | - Dabin Huang
- Department of Pediatrics,The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, China
| | - Dan Huang
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Xuanna Zhao
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Yue Wang
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Chi Jiang
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China
| | - Runzhong Huang
- Department of Neonatology, Shunde Women and Children's Hospital of Guangdong Medical University, Foshan 528300, China.
| | - Hu Hao
- Department of Pediatrics,The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China; Inborn Errors of Metabolism Laboratory, The Sixth Affiliated Hospital, Sun Yat sen University, Guangzhou, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, China.
| | - Bin Wu
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China.
| | - Dong Wu
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang 524000, China.
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Hsu CC, Wang CY, Manne RK, Cai Z, Penugurti V, Kant R, Bai L, Pan BS, Chen T, Chen YR, Wu HE, Jin Y, Gu H, Li CY, Lin HK. ALDH4A1 functions as an active component of the MPC complex maintaining mitochondrial pyruvate import for TCA cycle entry and tumour suppression. Nat Cell Biol 2025; 27:847-862. [PMID: 40355545 DOI: 10.1038/s41556-025-01651-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 03/05/2025] [Indexed: 05/14/2025]
Abstract
MPC1 and MPC2 are two well-known components of the mitochondrial pyruvate carrier (MPC) complex maintaining MPC activity to transport pyruvate into mitochondria for tricarboxylic acid (TCA) cycle entry in mammalian cells. It is currently unknown whether there is an additional MPC component crucially maintaining MPC complex activity for pyruvate mitochondrial import. Here we show that ALDH4A1, a proline-metabolizing enzyme localized in mitochondria, serves as a previously unrecognized MPC component maintaining pyruvate mitochondrial import and the TCA cycle independently of its enzymatic activity. Loss of ALDH4A1 in mammalian cells impairs pyruvate entry to mitochondria, resulting in defective TCA cycle entry. ALDH4A1 forms an active trimeric complex with MPC1-MPC2 to maintain the integrity and oligomerization of MPC1-MPC2 and facilitates pyruvate transport in an in vitro system. ALDH4A1 displays tumour suppression by maintaining MPC complex activity. Our study identifies ALDH4A1 as an essential component of MPC for pyruvate mitochondrial import, TCA cycle entry and tumour suppression.
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Affiliation(s)
- Che-Chia Hsu
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Chi-Yun Wang
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices, Ming Chi University of Technology, New Taipei City, Taiwan
- Research Center for Intelligent Medical Devices, Ming Chi University of Technology, New Taipei City, Taiwan
| | - Rajesh Kumar Manne
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Zhen Cai
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Vasudevarao Penugurti
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Rajni Kant
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Ling Bai
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
| | - Bo-Syong Pan
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Tingjin Chen
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Yuan-Ru Chen
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
| | - Hsin-En Wu
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
| | - Yan Jin
- Center for Translational Science, Cellular Biology and Pharmacology Department, The Herbert Wertheim College of Medicine, Florida International University, Port St. Lucie, FL, USA
| | - Haiwei Gu
- Center for Translational Science, Cellular Biology and Pharmacology Department, The Herbert Wertheim College of Medicine, Florida International University, Port St. Lucie, FL, USA
| | - Chia-Yang Li
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA
| | - Hui-Kuan Lin
- Department of Pathology, Duke University Medical Center, Duke University School of Medicine, Durham, NC, USA.
- Department of Cancer Biology, Wake Forest University School of Medicine, Winston-Salem, NC, USA.
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3
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He Z, Zhang J, Xu Y, Fine EJ, Suomivuori CM, Dror RO, Feng L. Structure of mitochondrial pyruvate carrier and its inhibition mechanism. Nature 2025; 641:250-257. [PMID: 40044865 PMCID: PMC12043432 DOI: 10.1038/s41586-025-08667-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2024] [Accepted: 01/17/2025] [Indexed: 04/13/2025]
Abstract
The mitochondrial pyruvate carrier (MPC) governs the entry of pyruvate-a central metabolite that bridges cytosolic glycolysis with mitochondrial oxidative phosphorylation-into the mitochondrial matrix1-5. It thus serves as a pivotal metabolic gatekeeper and has fundamental roles in cellular metabolism. Moreover, MPC is a key target for drugs aimed at managing diabetes, non-alcoholic steatohepatitis and neurodegenerative diseases4-6. However, despite MPC's critical roles in both physiology and medicine, the molecular mechanisms underlying its transport function and how it is inhibited by drugs have remained largely unclear. Here our structural findings on human MPC define the architecture of this vital transporter, delineate its substrate-binding site and translocation pathway, and reveal its major conformational states. Furthermore, we explain the binding and inhibition mechanisms of MPC inhibitors. Our findings provide the molecular basis for understanding MPC's function and pave the way for the development of more-effective therapeutic reagents that target MPC.
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Affiliation(s)
- Zheng He
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jianxiu Zhang
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Yan Xu
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Eve J Fine
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
| | - Carl-Mikael Suomivuori
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
| | - Ron O Dror
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA
- Department of Computer Science, Stanford University, Stanford, CA, USA
- Department of Structural Biology, Stanford University School of Medicine, Stanford, CA, USA
- Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA, USA
| | - Liang Feng
- Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA, USA.
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4
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Wu H, Zhao Q, Ma X, Zhao Y, Wang Q, Bai J, Huang S. MPC2 Overexpression Drives Mitochondrial Oxidative Phosphorylation and Promotes Progression in Diffuse Large B-Cell Lymphoma. Biochem Genet 2025:10.1007/s10528-025-11100-8. [PMID: 40287899 DOI: 10.1007/s10528-025-11100-8] [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] [Received: 01/13/2025] [Accepted: 04/07/2025] [Indexed: 04/29/2025]
Abstract
Diffuse Large B-Cell Lymphoma (DLBCL) is an aggressive form of non-Hodgkin lymphoma with heterogeneous molecular characteristics. Altered metabolism, particularly mitochondrial function, has emerged as a critical factor in cancer progression. However, the role of mitochondrial metabolism in DLBCL remains poorly understood. This study aimed to identify key mitochondrial factors associated with DLBCL progression. We analyzed transcriptomic data from multiple DLBCL datasets (GSE83632, TCGA-GTEX, GSE181063, GSE4475) using differential expression analysis, weighted gene co-expression network analysis (WGCNA), and Gene Set Enrichment Analysis (GSEA). The expression and function of the identified key factor, Mitochondrial Pyruvate Carrier 2 (MPC2), were validated using clinical samples, DLBCL cell lines, and an in vivo mouse model of xenograft. Integrative bioinformatics analysis identified MPC2 as a significantly upregulated gene in DLBCL, associated with enrichment of oxidative phosphorylation (OXPHOS) and cell cycle-related genes. MPC2 overexpression was confirmed in clinical DLBCL samples and cell lines at both mRNA and protein levels. Knockdown of MPC2 in DLBCL cells impaired mitochondrial OXPHOS, increased glycolysis, and suppressed cell proliferation, invasion, and 3D spheroid formation. In vivo, MPC2 silencing significantly reduced tumor growth in a xenograft mouse model. Our findings reveal MPC2 as a key regulator of mitochondrial function in DLBCL, promoting tumor progression through enhanced OXPHOS. This study provides new insights into the metabolic reprogramming of DLBCL and suggests MPC2 as a potential therapeutic target for this aggressive lymphoma.
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Affiliation(s)
- Haoneng Wu
- Yunnan Key Laboratory of Laboratory Medicine, Kunming, Yunnan, China
- Yunnan Province Clinical Research Center for Laboratory Medicine, Kunming, Yunnan, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Qiuran Zhao
- Yunnan Key Laboratory of Laboratory Medicine, Kunming, Yunnan, China
- Yunnan Province Clinical Research Center for Laboratory Medicine, Kunming, Yunnan, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Xiaobo Ma
- Yunnan Key Laboratory of Laboratory Medicine, Kunming, Yunnan, China
- Yunnan Province Clinical Research Center for Laboratory Medicine, Kunming, Yunnan, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Ying Zhao
- Yunnan Key Laboratory of Laboratory Medicine, Kunming, Yunnan, China
- Yunnan Province Clinical Research Center for Laboratory Medicine, Kunming, Yunnan, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China
| | - Qing Wang
- Department of Clinical Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jinguang Bai
- Department of Clinical Laboratory, The First People's Hospital of Lushui City, Lushui City, Yunnan, China
| | - Songling Huang
- Yunnan Key Laboratory of Laboratory Medicine, Kunming, Yunnan, China.
- Yunnan Province Clinical Research Center for Laboratory Medicine, Kunming, Yunnan, China.
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming, 650032, Yunnan, China.
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5
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Li-Harms X, Lu J, Fukuda Y, Lynch J, Sheth A, Pareek G, Kaminski MM, Ross HS, Wright CW, Smith AL, Wu H, Wang YD, Valentine M, Neale G, Vogel P, Pounds S, Schuetz JD, Ni M, Kundu M. Somatic mtDNA mutation burden shapes metabolic plasticity in leukemogenesis. SCIENCE ADVANCES 2025; 11:eads8489. [PMID: 39742470 PMCID: PMC11691655 DOI: 10.1126/sciadv.ads8489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2024] [Accepted: 11/20/2024] [Indexed: 01/03/2025]
Abstract
The role of somatic mitochondrial DNA (mtDNA) mutations in leukemogenesis remains poorly characterized. To determine the impact of somatic mtDNA mutations on this process, we assessed the leukemogenic potential of hematopoietic progenitor cells (HPCs) from mtDNA mutator mice (Polg D257A) with or without NMyc overexpression. We observed a higher incidence of spontaneous leukemogenesis in recipients transplanted with heterozygous Polg HPCs and a lower incidence of NMyc-driven leukemia in those with homozygous Polg HPCs compared to controls. Although mtDNA mutations in heterozygous and homozygous HPCs caused similar baseline impairments in mitochondrial function, only heterozygous HPCs responded to and supported altered metabolic demands associated with NMyc overexpression. Homozygous HPCs showed altered glucose utilization with pyruvate dehydrogenase inhibition due to increased phosphorylation, exacerbated by NMyc overexpression. The impaired growth of NMyc-expressing homozygous HPCs was partially rescued by inhibiting pyruvate dehydrogenase kinase, highlighting a relationship between mtDNA mutation burden and metabolic plasticity in leukemogenesis.
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Affiliation(s)
- Xiujie Li-Harms
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Jingjun Lu
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Yu Fukuda
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - John Lynch
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Aditya Sheth
- Department of Pathology, Center of Excellence for Leukemia Studies, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Gautam Pareek
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Marcin M. Kaminski
- Department of Immunology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Hailey S. Ross
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Christopher W. Wright
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Amber L. Smith
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Huiyun Wu
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Yong-Dong Wang
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Marc Valentine
- Cytogenetics Shared Resource, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Geoffrey Neale
- Hartwell Center for Bioinformatics and Biotechnology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Peter Vogel
- Veterinary Pathology Core, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Stanley Pounds
- Department of Biostatistics, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - John D. Schuetz
- Department of Pharmacy and Pharmaceutical Sciences, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Min Ni
- Department of Oncology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Mondira Kundu
- Department of Cell and Molecular Biology, St. Jude Children’s Research Hospital, Memphis, TN, USA
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6
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Li W, Chen J, Guo Z. Targeting metabolic pathway enhance CAR-T potency for solid tumor. Int Immunopharmacol 2024; 143:113412. [PMID: 39454410 DOI: 10.1016/j.intimp.2024.113412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Revised: 10/01/2024] [Accepted: 10/12/2024] [Indexed: 10/28/2024]
Abstract
Chimeric antigen receptor (CAR) T cells have great potential in cancer therapy, particularly in treating hematologic malignancies. However, their efficacy in solid tumors remains limited, with a significant proportion of patients failing to achieve long-term complete remission. One major challenge is the premature exhaustion of CAR-T cells, often due to insufficient metabolic energy. The survival, function and metabolic adaptation of CAR-T cells are key determinants of their therapeutic efficacy. We explore how targeting metabolic pathways in the tumor microenvironment can enhance CAR-T cell therapy by addressing metabolic competition and immunosuppression that impair CAR-T cell function. Tumors undergo metabolically reprogrammed to meet their rapid proliferation, thereby modulating metabolic pathways in immune cells to promote immunosuppression. The distinct metabolic requirements of tumors and T cells create a competitive environment, affecting the efficacy of CAR-T cell therapy. Recent research on glucose, lipid and amino acid metabolism, along with the interactions between tumor and immune cell metabolism, has revealed that targeting these metabolic processes can enhance antitumor immune responses. Combining metabolic interventions with existing antitumor therapies can fulfill the metabolic demands of immune cells, providing new ideas for tumor immunometabolic therapies. This review discusses the latest advances in the immunometabolic mechanisms underlying tumor immunosuppression, their implications for immunotherapy, and summarizes potential metabolic targets to improve the efficacy of CAR-T therapy.
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Affiliation(s)
- Wenying Li
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Jiannan Chen
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China.
| | - Zhigang Guo
- Jiangsu Key Laboratory for Molecular and Medical Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China.
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7
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Becirovic T, Zhang B, Vakifahmetoglu-Norberg H, Kaminskyy VO, Kochetkova E, Norberg E. USP39 regulates pyruvate handling in non-small cell lung cancer. Cell Death Discov 2024; 10:502. [PMID: 39695108 DOI: 10.1038/s41420-024-02264-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 11/26/2024] [Accepted: 12/05/2024] [Indexed: 12/20/2024] Open
Abstract
The ubiquitin-specific peptidase 39 (USP39) belongs to the USP family of cysteine proteases representing the largest group of human deubiquitinases (DUBs). While the oncogenic function of USP39 has been investigated in various cancer types, its roles in non-small cell lung cancer (NSCLC) remain largely unknown. Here, by applying a gene set enrichment analysis (GSEA) on lung adenocarcinoma tissues and metabolite set enrichment analysis (MSEA) on NSCLC cells depleted of USP39, we identified a previously unknown link between USP39 and the metabolism in NSCLC cells. Mechanistically, we uncovered a component of the pyruvate dehydrogenase (PDH) complex, pyruvate dehydrogenase E1 subunit alpha (PDHA), as a target of USP39. We further present that USP39 silencing caused an elevation in Lys63 ubiquitination on PDHA and a reduction in the PDH complex activity, the levels of TCA cycle intermediates, mitochondrial respiration, cell proliferation in vitro, and of tumor growth in vivo. Consistently, citrate supplementation restored mitochondrial respiration and cell growth in USP39-depleted cells. Our study elucidates and describes how USP39 regulates pyruvate metabolism through a deubiquitylation process that affects NSCLC tumor growth.
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Affiliation(s)
- Tina Becirovic
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum, Stockholm, Sweden
| | - Boxi Zhang
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum, Stockholm, Sweden
| | | | - Vitaliy O Kaminskyy
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum, Stockholm, Sweden.
| | - Elena Kochetkova
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum, Stockholm, Sweden.
| | - Erik Norberg
- Department of Physiology and Pharmacology, Karolinska Institutet, Biomedicum, Stockholm, Sweden.
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8
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Nagano E, Odake K, Shimma S. Tissue derivatization for visualizing lactate and pyruvate in mouse testis tissues using matrix-assisted laser desorption/ionization-mass spectrometry imaging. Anal Bioanal Chem 2024; 416:6601-6610. [PMID: 39379620 PMCID: PMC11541321 DOI: 10.1007/s00216-024-05559-4] [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: 07/19/2024] [Revised: 08/27/2024] [Accepted: 09/18/2024] [Indexed: 10/10/2024]
Abstract
Pyruvate and lactate are the final metabolites of the glycolytic system that are formed under oxygen-rich and anaerobic conditions, respectively. They play an important role in energy metabolism. Obtaining a tissue distribution image of pyruvate and lactate holds great significance in molecular biology because the glycolytic system plays an essential role in diseases, such as tumors and diabetes; microbial activities, such as alcohol production and lactic acid fermentation; and maintaining homeostasis in the gut environment. However, it is difficult to obtain images of the distribution of in vivo metabolites because of the low detection sensitivities of current methods. In this study, a novel derivatization method for pyruvate and lactate was developed using matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) to detect pyruvate and lactate in vivo and obtain biodistribution images. We investigated derivatization methods using readily available 3-nitrophenylhydrazine (3NPH), the addition of which improves the sensitivity of pyruvate detection, and the distribution of pyruvate in mouse testes was successfully visualized. Furthermore, the distribution of lactate in the mouse testes could be visualized, and improved detection sensitivity for the main metabolites of the tricarboxylic acid cycle was demonstrated. This derivatization method can be used to detect carboxyl-containing metabolites, including pyruvate, via MALDI-MSI. Furthermore, 3NPH forms amide bonds with carbonyl, phosphate, and carboxyl groups, suggesting the possibility of visualizing its distribution in many metabolites.
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Affiliation(s)
- Erika Nagano
- Miruion inc, 7-7-20Asagi, Saito, Suita, Osaka, 5670085, Japan
| | - Kazuki Odake
- Miruion inc, 7-7-20Asagi, Saito, Suita, Osaka, 5670085, Japan
| | - Shuichi Shimma
- Miruion inc, 7-7-20Asagi, Saito, Suita, Osaka, 5670085, Japan.
- Department of Biotechnology, Graduate School of Engineering, Osaka University, 2-1 Yamadaoka, Suita, Osaka, 5650871, Japan.
- Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka, Japan.
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9
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Tufail M, Jiang CH, Li N. Altered metabolism in cancer: insights into energy pathways and therapeutic targets. Mol Cancer 2024; 23:203. [PMID: 39294640 PMCID: PMC11409553 DOI: 10.1186/s12943-024-02119-3] [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: 08/14/2024] [Accepted: 09/09/2024] [Indexed: 09/21/2024] Open
Abstract
Cancer cells undergo significant metabolic reprogramming to support their rapid growth and survival. This study examines important metabolic pathways like glycolysis, oxidative phosphorylation, glutaminolysis, and lipid metabolism, focusing on how they are regulated and their contributions to the development of tumors. The interplay between oncogenes, tumor suppressors, epigenetic modifications, and the tumor microenvironment in modulating these pathways is examined. Furthermore, we discuss the therapeutic potential of targeting cancer metabolism, presenting inhibitors of glycolysis, glutaminolysis, the TCA cycle, fatty acid oxidation, LDH, and glucose transport, alongside emerging strategies targeting oxidative phosphorylation and lipid synthesis. Despite the promise, challenges such as metabolic plasticity and the need for combination therapies and robust biomarkers persist, underscoring the necessity for continued research in this dynamic field.
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Affiliation(s)
- Muhammad Tufail
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Can-Hua Jiang
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Oral Precancerous Lesions, Central South University, Changsha, China
- Research Center of Oral and Maxillofacial Tumor, Xiangya Hospital, Central South University, Changsha, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Ning Li
- Department of Oral and Maxillofacial Surgery, Center of Stomatology, Xiangya Hospital, Central South University, Changsha, China.
- Institute of Oral Precancerous Lesions, Central South University, Changsha, China.
- Research Center of Oral and Maxillofacial Tumor, Xiangya Hospital, Central South University, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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Li YN, Su JL, Tan SH, Chen XL, Cheng TL, Jiang Z, Luo YZ, Zhang LM. Machine learning based on metabolomics unveils neutrophil extracellular trap-related metabolic signatures in non-small cell lung cancer patients undergoing chemoimmunotherapy. World J Clin Cases 2024; 12:4091-4107. [PMID: 39015934 PMCID: PMC11235537 DOI: 10.12998/wjcc.v12.i20.4091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 05/10/2024] [Accepted: 05/28/2024] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND Non-small cell lung cancer (NSCLC) is the primary form of lung cancer, and the combination of chemotherapy with immunotherapy offers promising treatment options for patients suffering from this disease. However, the emergence of drug resistance significantly limits the effectiveness of these therapeutic strategies. Consequently, it is imperative to devise methods for accurately detecting and evaluating the efficacy of these treatments. AIM To identify the metabolic signatures associated with neutrophil extracellular traps (NETs) and chemoimmunotherapy efficacy in NSCLC patients. METHODS In total, 159 NSCLC patients undergoing first-line chemoimmunotherapy were enrolled. We first investigated the characteristics influencing clinical efficacy. Circulating levels of NETs and cytokines were measured by commercial kits. Liquid chromatography tandem mass spectrometry quantified plasma metabolites, and differential metabolites were identified. Least absolute shrinkage and selection operator, support vector machine-recursive feature elimination, and random forest algorithms were employed. By using plasma metabolic profiles and machine learning algorithms, predictive metabolic signatures were established. RESULTS First, the levels of circulating interleukin-8, neutrophil-to-lymphocyte ratio, and NETs were closely related to poor efficacy of first-line chemoimmunotherapy. Patients were classed into a low NET group or a high NET group. A total of 54 differential plasma metabolites were identified. These metabolites were primarily involved in arachidonic acid and purine metabolism. Three key metabolites were identified as crucial variables, including 8,9-epoxyeicosatrienoic acid, L-malate, and bis(monoacylglycerol)phosphate (18:1/16:0). Using metabolomic sequencing data and machine learning methods, key metabolic signatures were screened to predict NET level as well as chemoimmunotherapy efficacy. CONCLUSION The identified metabolic signatures may effectively distinguish NET levels and predict clinical benefit from chemoimmunotherapy in NSCLC patients.
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Affiliation(s)
- Yu-Ning Li
- School of Life and Health Sciences, Hunan University of Science and Technology, Xiangtan 411201, Hunan Province, China
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha 410013, Hunan Province, China
| | - Jia-Lin Su
- School of Life and Health Sciences, Hunan University of Science and Technology, Xiangtan 411201, Hunan Province, China
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha 410013, Hunan Province, China
| | - Shu-Hua Tan
- School of Life and Health Sciences, Hunan University of Science and Technology, Xiangtan 411201, Hunan Province, China
| | - Xing-Long Chen
- School of Life and Health Sciences, Hunan University of Science and Technology, Xiangtan 411201, Hunan Province, China
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha 410013, Hunan Province, China
| | - Tian-Li Cheng
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha 410013, Hunan Province, China
| | - Zhou Jiang
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha 410013, Hunan Province, China
| | - Yong-Zhong Luo
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha 410013, Hunan Province, China
| | - Le-Meng Zhang
- Department of Thoracic Medicine, Hunan Cancer Hospital, Changsha 410013, Hunan Province, China
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11
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Papadimitriou N, Kim A, Kawaguchi ES, Morrison J, Diez-Obrero V, Albanes D, Berndt SI, Bézieau S, Bien SA, Bishop DT, Bouras E, Brenner H, Buchanan DD, Campbell PT, Carreras-Torres R, Chan AT, Chang-Claude J, Conti DV, Devall MA, Dimou N, Drew DA, Gruber SB, Harrison TA, Hoffmeister M, Huyghe JR, Joshi AD, Keku TO, Kundaje A, Küry S, Le Marchand L, Lewinger JP, Li L, Lynch BM, Moreno V, Newton CC, Obón-Santacana M, Ose J, Pellatt AJ, Peoples AR, Platz EA, Qu C, Rennert G, Ruiz-Narvaez E, Shcherbina A, Stern MC, Su YR, Thomas DC, Thomas CE, Tian Y, Tsilidis KK, Ulrich CM, Um CY, Visvanathan K, Wang J, White E, Woods MO, Schmit SL, Macrae F, Potter JD, Hopper JL, Peters U, Murphy N, Hsu L, Gunter MJ, Gauderman WJ. Genome-wide interaction study of dietary intake of fibre, fruits, and vegetables with risk of colorectal cancer. EBioMedicine 2024; 104:105146. [PMID: 38749303 PMCID: PMC11112268 DOI: 10.1016/j.ebiom.2024.105146] [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: 09/11/2023] [Revised: 04/15/2024] [Accepted: 04/19/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Consumption of fibre, fruits and vegetables have been linked with lower colorectal cancer (CRC) risk. A genome-wide gene-environment (G × E) analysis was performed to test whether genetic variants modify these associations. METHODS A pooled sample of 45 studies including up to 69,734 participants (cases: 29,896; controls: 39,838) of European ancestry were included. To identify G × E interactions, we used the traditional 1--degree-of-freedom (DF) G × E test and to improve power a 2-step procedure and a 3DF joint test that investigates the association between a genetic variant and dietary exposure, CRC risk and G × E interaction simultaneously. FINDINGS The 3-DF joint test revealed two significant loci with p-value <5 × 10-8. Rs4730274 close to the SLC26A3 gene showed an association with fibre (p-value: 2.4 × 10-3) and G × fibre interaction with CRC (OR per quartile of fibre increase = 0.87, 0.80, and 0.75 for CC, TC, and TT genotype, respectively; G × E p-value: 1.8 × 10-7). Rs1620977 in the NEGR1 gene showed an association with fruit intake (p-value: 1.0 × 10-8) and G × fruit interaction with CRC (OR per quartile of fruit increase = 0.75, 0.65, and 0.56 for AA, AG, and GG genotype, respectively; G × E -p-value: 0.029). INTERPRETATION We identified 2 loci associated with fibre and fruit intake that also modify the association of these dietary factors with CRC risk. Potential mechanisms include chronic inflammatory intestinal disorders, and gut function. However, further studies are needed for mechanistic validation and replication of findings. FUNDING National Institutes of Health, National Cancer Institute. Full funding details for the individual consortia are provided in acknowledgments.
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Affiliation(s)
- Nikos Papadimitriou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Andre Kim
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eric S Kawaguchi
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - John Morrison
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Virginia Diez-Obrero
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain; Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonja I Berndt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Stephanie A Bien
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - D Timothy Bishop
- Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, UK
| | - Emmanouil Bouras
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumour Diseases (NCT), Heidelberg, Germany; German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Daniel D Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, Parkville, Australia; University of Melbourne Centre for Cancer Research, The University of Melbourne, Parkville, Australia; Genomic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Peter T Campbell
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Robert Carreras-Torres
- Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), 17190 Salt, Girona, Spain
| | - Andrew T Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA; Broad Institute of Harvard and MIT, Cambridge, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; University Medical Centre Hamburg-Eppendorf, University Cancer Centre Hamburg (UCCH), Hamburg, Germany
| | - David V Conti
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Matthew A Devall
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA; Department of Public Health Sciences, Center for Public Health Genomics, Charlottesville, VA, USA
| | - Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - David A Drew
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Stephen B Gruber
- Department of Medical Oncology & Therapeutics Research and Center for Precision Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Tabitha A Harrison
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Michael Hoffmeister
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jeroen R Huyghe
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Amit D Joshi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Temitope O Keku
- Center for Gastrointestinal Biology and Disease, University of North Carolina, Chapel Hill, NC, USA
| | - Anshul Kundaje
- Department of Genetics, Stanford University, Stanford, CA, USA; Department of Computer Science, Stanford University, Stanford, CA, USA
| | - Sébastien Küry
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | | | - Juan Pablo Lewinger
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA, USA
| | - Brigid M Lynch
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Victor Moreno
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain; Department of Clinical Sciences, Faculty of Medicine and Health Sciences and Universitat de Barcelona Institute of Complex Systems (UBICS), University of Barcelona (UB), L'Hospitalet de Llobregat, 08908, Barcelona, Spain
| | - Christina C Newton
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Mireia Obón-Santacana
- Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology, Barcelona, 08908, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute, Barcelona, 08908, Spain; Consortium for Biomedical Research in Epidemiology and Public Health, Barcelona, 08908, Spain
| | - Jennifer Ose
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Andrew J Pellatt
- Department of Cancer Medicine, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Anita R Peoples
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Conghui Qu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Gad Rennert
- Department of Community Medicine and Epidemiology, Lady Davis Carmel Medical Center, Haifa, Israel; Ruth and Bruce Rappaport Faculty of Medicine, Technion-Israel Institute of Technology, Haifa, Israel; Clalit National Cancer Control Center, Haifa, Israel
| | - Edward Ruiz-Narvaez
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Anna Shcherbina
- Department of Genetics, Stanford University, Stanford, CA, USA
| | - Mariana C Stern
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yu-Ru Su
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Claire E Thomas
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Yu Tian
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany; School of Public Health, Capital Medical University, Beijing, China
| | - Konstantinos K Tsilidis
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece; Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK
| | - Cornelia M Ulrich
- Huntsman Cancer Institute, Salt Lake City, UT, USA; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Caroline Y Um
- Department of Population Science, American Cancer Society, Atlanta, GA, USA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jun Wang
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA; Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, USA
| | - Emily White
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA
| | - Michael O Woods
- Memorial University of Newfoundland, Discipline of Genetics, St. John's, Canada
| | - Stephanie L Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA; Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Finlay Macrae
- The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - John D Potter
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - John L Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Victoria, Australia; Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Epidemiology, University of Washington School of Public Health, Seattle, WA, USA.
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA.
| | - Marc J Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France; Department of Epidemiology and Biostatistics, Imperial College London, School of Public Health, London, UK.
| | - W James Gauderman
- Division of Biostatistics, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
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12
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Chang Y, Dai T, Song G, Wang S, Pei H, Shen G, Feng J. Metabolomic analysis reveals the biological characteristics of giant congenital melanocytic nevi. J Pharm Biomed Anal 2024; 242:116060. [PMID: 38382316 DOI: 10.1016/j.jpba.2024.116060] [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: 01/12/2024] [Revised: 02/16/2024] [Accepted: 02/16/2024] [Indexed: 02/23/2024]
Abstract
Giant congenital melanocytic nevi (GCMN) is a congenital cutaneous developmental deformity tumor that usually occurs at birth or in the first few weeks after birth, but its pathogenesis is still unclear. In this study, nuclear magnetic resonance-based metabolomics strategy was employed to evaluate the metabolic variations in serum and urine of the GCMN patients in order to understand its underlying biochemical mechanism and provide a potential intervention idea. Twenty-nine metabolites were observed to change significantly in serum and urine metabolomes, which are mainly involved in a variety of metabolic pathways including glyoxylate and dicarboxylate metabolism, TCA cycle and metabolisms of amino acids. The substantial cores of all the disturbed metabolic pathways are related to amino acid metabolism and carbohydrate metabolism and regulate the physiological state of the GCMN patients. Our results provide the physiological basis and physiological responses of GCMN and will be helpful for better understanding the molecular mechanisms of GCMN in future research.
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Affiliation(s)
- Yajie Chang
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China
| | - Tao Dai
- Department of Wound Reconstructive Surgery, Tongji Hospital of Tongji University, Shanghai 200065, China.
| | - Ge Song
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China; Department of Plastic Surgery, First Affiliated Hospital of Henan University of Science and Technology, Luoyang 471003, China
| | - Sanxi Wang
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China
| | - Huile Pei
- Department of Dermatology, Second Affiliated Hospital Henan University of Science and Technology, Luoyang 471003, China
| | - Guiping Shen
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China.
| | - Jianghua Feng
- Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, China
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13
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Su G, Liu J, Duan C, Fang P, Fang L, Zhou Y, Xiao S. Enteric coronavirus PDCoV evokes a non-Warburg effect by hijacking pyruvic acid as a metabolic hub. Redox Biol 2024; 71:103112. [PMID: 38461791 PMCID: PMC10938170 DOI: 10.1016/j.redox.2024.103112] [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: 02/01/2024] [Revised: 02/21/2024] [Accepted: 03/03/2024] [Indexed: 03/12/2024] Open
Abstract
The Warburg effect, also referred as aerobic glycolysis, is a common metabolic program during viral infection. Through targeted metabolomics combined with biochemical experiments and various cell models, we investigated the central carbon metabolism (CCM) profiles of cells infected with porcine deltacoronavirus (PDCoV), an emerging enteropathogenic coronavirus with zoonotic potential. We found that PDCoV infection required glycolysis but decreased glycolytic flux, exhibiting a non-Warburg effect characterized by pyruvic acid accumulation. Mechanistically, PDCoV enhanced pyruvate kinase activity to promote pyruvic acid anabolism, a process that generates pyruvic acid with concomitant ATP production. PDCoV also hijacked pyruvic acid catabolism to increase biosynthesis of non-essential amino acids (NEAAs), suggesting that pyruvic acid is an essential hub for PDCoV to scavenge host energy and metabolites. Furthermore, PDCoV facilitated glutaminolysis to promote the synthesis of NEAA and pyrimidines for optimal proliferation. Our work supports a novel CCM model after viral infection and provides potential anti-PDCoV drug targets.
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Affiliation(s)
- Guanning Su
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China
| | - Jiao Liu
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China
| | - Chenrui Duan
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China
| | - Puxian Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China
| | - Liurong Fang
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China
| | - Yanrong Zhou
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China.
| | - Shaobo Xiao
- National Key Laboratory of Agricultural Microbiology, College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China; Key Laboratory of Preventive Veterinary Medicine in Hubei Province, The Cooperative Innovation Center for Sustainable Pig Production, Wuhan, 430070, China.
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14
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Luo Y, Qi X, Zhang Z, Zhang J, Li B, Shu T, Li X, Hu H, Li J, Tang Q, Zhou Y, Wang M, Fan T, Guo W, Liu Y, Zhang J, Pang J, Yang P, Gao R, Chen W, Yan C, Xing Y, Du W, Wang J, Wang C. Inactivation of Malic Enzyme 1 in Endothelial Cells Alleviates Pulmonary Hypertension. Circulation 2024; 149:1354-1371. [PMID: 38314588 DOI: 10.1161/circulationaha.123.067579] [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: 10/14/2023] [Accepted: 01/10/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND Pulmonary hypertension (PH) is a progressive cardiopulmonary disease with a high mortality rate. Although growing evidence has revealed the importance of dysregulated energetic metabolism in the pathogenesis of PH, the underlying cellular and molecular mechanisms are not fully understood. In this study, we focused on ME1 (malic enzyme 1), a key enzyme linking glycolysis to the tricarboxylic acid cycle. We aimed to determine the role and mechanistic action of ME1 in PH. METHODS Global and endothelial-specific ME1 knockout mice were used to investigate the role of ME1 in hypoxia- and SU5416/hypoxia (SuHx)-induced PH. Small hairpin RNA and ME1 enzymatic inhibitor (ME1*) were used to study the mechanism of ME1 in pulmonary artery endothelial cells. Downstream key metabolic pathways and mediators of ME1 were identified by metabolomics analysis in vivo and ME1-mediated energetic alterations were examined by Seahorse metabolic analysis in vitro. The pharmacological effect of ME1* on PH treatment was evaluated in PH animal models induced by SuHx. RESULTS We found that ME1 protein level and enzymatic activity were highly elevated in lung tissues of patients and mice with PH, primarily in vascular endothelial cells. Global knockout of ME1 protected mice from developing hypoxia- or SuHx-induced PH. Endothelial-specific ME1 deletion similarly attenuated pulmonary vascular remodeling and PH development in mice, suggesting a critical role of endothelial ME1 in PH. Mechanistic studies revealed that ME1 inhibition promoted downstream adenosine production and activated A2AR-mediated adenosine signaling, which leads to an increase in nitric oxide generation and a decrease in proinflammatory molecule expression in endothelial cells. ME1 inhibition activated adenosine production in an ATP-dependent manner through regulating malate-aspartate NADH (nicotinamide adenine dinucleotide plus hydrogen) shuttle and thereby balancing oxidative phosphorylation and glycolysis. Pharmacological inactivation of ME1 attenuated the progression of PH in both preventive and therapeutic settings by promoting adenosine production in vivo. CONCLUSIONS Our findings indicate that ME1 upregulation in endothelial cells plays a causative role in PH development by negatively regulating adenosine production and subsequently dysregulating endothelial functions. Our findings also suggest that ME1 may represent as a novel pharmacological target for upregulating protective adenosine signaling in PH therapy.
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Affiliation(s)
- Ya Luo
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
- Department of Pulmonary and Critical Care Medicine, Xinqiao Hospital, Third Military Medical University, Chongqing, China (Y.L.)
| | - Xianmei Qi
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Zhenxi Zhang
- State Key Laboratory of Common Mechanism Research for Major Diseases (Z.Z., W.D.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Jiawei Zhang
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Bolun Li
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Ting Shu
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Xiaona Li
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Huiyuan Hu
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Jinqiu Li
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Qihao Tang
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Yitian Zhou
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Mingyao Wang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China (M.W., C.W.)
| | - Tianfei Fan
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Wenjun Guo
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Ying Liu
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Jin Zhang
- Department of Thoracic Surgery, China-Japan Friendship Hospital, Beijing, China (J.Z.)
| | - Junling Pang
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Peiran Yang
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Ran Gao
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Wenhui Chen
- Department of Lung Transplantation, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China (W.C.)
| | - Chen Yan
- Aab Cardiovascular Research Institute, Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY (C.Y.)
| | - Yanjiang Xing
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Wenjing Du
- State Key Laboratory of Common Mechanism Research for Major Diseases (Z.Z., W.D.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Jing Wang
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
| | - Chen Wang
- State Key Laboratory of Respiratory Health and Multimorbidity (Y.L., X.Q., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., J.P., P.Y., Y.X., J.W., C.W.)
- Haihe Laboratory of Cell Ecosystem, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China (Y.L., X.Q., Z.Z., J.Z., B.L., T.S., X.L., H.H., J.L., Q.T., Y.Z., T.F., W.G., Y.L., J.P., P.Y., R.G., Y.X., W.D., J.W., C.W.)
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, National Clinical Research Center for Respiratory Diseases, China-Japan Friendship Hospital, Beijing, China (M.W., C.W.)
- Chinese Academy of Engineering, Beijing, China (C.W.)
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15
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Razavi SA, Mahmanzar M, Nobakht M Gh BF, Zamani Z, Nasiri S, Hedayati M. Plasma metabolites analysis of patients with papillary thyroid cancer: A preliminary untargeted 1H NMR-based metabolomics. J Pharm Biomed Anal 2024; 241:115946. [PMID: 38241910 DOI: 10.1016/j.jpba.2023.115946] [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: 10/31/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 01/21/2024]
Abstract
Metabolomics plays a crucial role in identifying molecular biomarkers that can differentiate pathological conditions. In the case of thyroid cancer, it is essential to accurately diagnose malignancy from benignity to avoid unnecessary surgeries. The objective of this research was to apply untargeted NMR-based metabolomics in order to identify metabolic biomarkers that can distinguish between plasma samples of patients with papillary thyroid cancer (PTC) and multinodular goiter (MNG), as well as PTC and healthy individuals. The study included a cohort of 55 patients who were divided into three groups: PTC (n=20), MNG (n=16), and healthy (n=19). Plasma samples were collected from all participants and subjected to 1H NMR spectroscopy. Differential metabolites were identified using chemometric pattern recognition algorithms. The obtained metabolic profile had the potential to differentiate PTC from healthy plasma, but not from MNG. In patients diagnosed with PTC, a total of 18 compounds were discovered, revealing elevated levels of leucine, lysine, and 4-acetamidobutyric acid, while acetate, proline, acetoacetate, 3-hydroxybutyrate, glutamate, pyruvate, cystine, glutathione, asparagine, ethanolamine, histidine, tyrosine, myo-inositol, and glycerol along with a lipid compound were found to be lower in comparison to those of healthy individuals. According to the area under the curve (AUC) of the receiver operating characteristic curve, this particular profile exhibited an impressive capability of 85% to discern PTC from healthy subjects (AUC=0.853, sensitivity=78.95, specificity=84.21). The utilization of the 1H NMR-based metabolomics approach revealed considerable promise in the identification of PTC from healthy plasma specimens. The modifications noticed in the plasma metabolites have the potential to act as practical biomarkers that are non-invasive and could suggest transformations in the metabolic profile of thyroid tumors.
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Affiliation(s)
- S Adeleh Razavi
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammadamin Mahmanzar
- Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, Honolulu, HI 96813, USA
| | - B Fatemeh Nobakht M Gh
- Chemical Injuries Research Center, Systems Biology and Poisoning Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Zahra Zamani
- Biochemistry Department, Pasteur Institute of Iran, Tehran, Iran
| | - Shirzad Nasiri
- Department of Surgery, Shariati Hospital, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Hedayati
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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16
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Kalinin RE, Suchkov IA, Raitsev SN, Zvyagina VI, Bel'skikh ES. Role of Hypoxia-Inducible Factor 1α in Adaptation to Hypoxia in the Pathogenesis of Novel Coronavirus Disease 2019. I.P. PAVLOV RUSSIAN MEDICAL BIOLOGICAL HERALD 2024; 32:133-144. [DOI: 10.17816/pavlovj165536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/10/2024]
Abstract
INTRODUCTION: A novel coronavirus (severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2)) emerged in December 2019 and rapidly spread over the world having provoked a pandemic of respiratory disease. This highly pathogenic virus can attack the lung tissue and derange gas exchange leading to acute respiratory distress syndrome and systemic hypoxia. Hypoxic conditions trigger activation of adaptation mechanisms including hypoxia-inducible factor-1á (HIF-1á) which is involved in the regulation of the key processes, e. g, proliferation and metabolism of cells and angiogenesis. Besides, the level of HIF-1á expression is associated with the intensity of the immune response of an organism including that of the innate immunity mediating inflammatory reaction. Therefore, understanding the peculiarities of the mechanisms underlying the pathogenesis of this disease is of great importance for effective therapy of coronavirus disease 2019 (COVID-19).
AIM: Analysis of the current data on HIF-1á and its effect on the pathogenesis and progression of COVID-19.
The analysis of the relevant domestic and international literature sources was performed in the following sections: HIF-1á as a key factor of adaptation to hypoxia, targets for HIF-1á in the aspect of the pathogenesis of COVID-19, disorders in HIF-1á-mediated adaptation to hypoxia as an element of the pathogenesis of hyperactivation of the immune cells.
CONCLUSION: HIF-1á prevents penetration of SARS-CoV-2 virus into a cell and primarily acts as the main regulator of the proinflammatory activity at the inflammation site surrounded by hypoxia. In the conditions of the deranged metabolic flexibility, a high level of HIF-1á evokes an excessive inflammatory response of the immune cells. A high HIF-1á level in cells of the inflammation focus is associated with enhanced production of the factors of angiogenesis mediating vascular permeability and capillary leakage process. This is accompanied by tissue damage and organ failure. At the same time, HIF-1á can mediate the anti-inflammatory effect through activation of adenosine receptor-dependent pathway, which is considered as a probable protection of cells and organs against damage by hyperactive immune cells.
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17
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Kim D, Hwang CY, Cho KH. The fitness trade-off between growth and stress resistance determines the phenotypic landscape. BMC Biol 2024; 22:62. [PMID: 38475791 PMCID: PMC10935846 DOI: 10.1186/s12915-024-01856-7] [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: 03/27/2023] [Accepted: 02/28/2024] [Indexed: 03/14/2024] Open
Abstract
BACKGROUND A central challenge in biology is to discover a principle that determines individual phenotypic differences within a species. The growth rate is particularly important for a unicellular organism, and the growth rate under a certain condition is negatively associated with that of another condition, termed fitness trade-off. Therefore, there should exist a common molecular mechanism that regulates multiple growth rates under various conditions, but most studies so far have focused on discovering those genes associated with growth rates under a specific condition. RESULTS In this study, we found that there exists a recurrent gene expression signature whose expression levels are related to the fitness trade-off between growth preference and stress resistance across various yeast strains and multiple conditions. We further found that the genomic variation of stress-response, ribosomal, and cell cycle regulators are potential causal genes that determine the sensitivity between growth and survival. Intriguingly, we further observed that the same principle holds for human cells using anticancer drug sensitivities across multiple cancer cell lines. CONCLUSIONS Together, we suggest that the fitness trade-off is an evolutionary trait that determines individual growth phenotype within a species. By using this trait, we can possibly overcome anticancer drug resistance in cancer cells.
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Affiliation(s)
- Dongsan Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea
| | - Chae Young Hwang
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea
| | - Kwang-Hyun Cho
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-Ro, Yuseong-Gu, Daejeon, 34141, Republic of Korea.
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18
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Khedr AMB, Shaker OG, EL-Komy MHM, Badr AM, Erfan R. miRNA-133 and lncRNA-H19 expressions and their relation to serum levels of PKM2 and TGF-β in patients with systemic sclerosis. Noncoding RNA Res 2024; 9:253-261. [PMID: 38222070 PMCID: PMC10788181 DOI: 10.1016/j.ncrna.2023.12.003] [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: 07/28/2023] [Revised: 11/30/2023] [Accepted: 12/15/2023] [Indexed: 01/16/2024] Open
Abstract
Background and aims Systemic sclerosis (SSc) is a common autoimmune disorder involving the skin, blood vessels, and internal organs with an elusive pathophysiology. SSc is believed to be a genetically prone T-cell-mediated autoimmune disease. miRNAs and lncRNAs were thought to be involved in the etiology of several immunological diseases including SSc. This work aimed to assess the expression of miRNA-133, lncRNA-H19, PKM2, and TGF-β levels in SSc in comparison to controls and their relationship to the clinical course and severity of disease. Patients and methods Fifty patients with SSc and 40 healthy age and sex-matched controls were included in this study. miRNA-133 and H19 expression levels were detected using quantitative RT-PCR while serum levels of PKM2 and TGF-β were measured using ELISA techniques. Patients' clinical data and treatments received were extracted and correlated with proteins investigated. Results Our results showed that miRNA-133 was significantly downregulated in SSc patients in comparison to controls (Mean + SD of SSc = 0.61 ± 0.22, Mean ± SD of HC = 0.97 ± 0.007, p = 0.003). However, there was significant upregulation of the serum expressions of all other tested biomarkers in SSc patients in comparison to controls; H19 (Mean + SD of SSc = 10.37 ± 3.13, Mean ± SD of HC = 1.01 ± 0.01, p = 0.0001), PKM2 (Mean + SD of SSc = 28.0 ± 4.84, Mean ± SD of HC = 16.19 ± 1.32, p = 0.005) and TGF-β (Mean + SD of SSc = 150.8 ± 6.36, Mean ± SD of HC = 23.83 ± 0.93, p = 0.0001). We also detected several correlations between serum levels of the investigated proteins in patients with SSc. Conclusion Along with TGF-β, our results show that miRNA-133, H19, and PKM2 seem to be potential contributors to SSc pathogenesis and could be promising biomarkers in the diagnosis of SSc patients. The lncRNA-H19 correlations with TGF- β, miRNA-133, and PKM2 suggest a possible influential effect of this RNA molecule on the pathogenesis of SSc.
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Affiliation(s)
- Ahmed MB. Khedr
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Helwan University, Ain Helwan, Cairo, Egypt
| | - Olfat G. Shaker
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | | | - Amul M. Badr
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Randa Erfan
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo, Egypt
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19
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Marima R, Mosoane B, Mtshali N, Basera A, Kgatle M, Grech G, Dlamini Z. Mechanisms of chemotherapy resistance in cervical cancer. STRATEGIES FOR OVERCOMING CHEMOTHERAPY RESISTANCE IN CERVICAL CANCER 2024:53-70. [DOI: 10.1016/b978-0-443-28985-9.00012-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
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20
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Zlatic SA, Werner E, Surapaneni V, Lee CE, Gokhale A, Singleton K, Duong D, Crocker A, Gentile K, Middleton F, Dalloul JM, Liu WLY, Patgiri A, Tarquinio D, Carpenter R, Faundez V. Systemic proteome phenotypes reveal defective metabolic flexibility in Mecp2 mutants. Hum Mol Genet 2023; 33:12-32. [PMID: 37712894 PMCID: PMC10729867 DOI: 10.1093/hmg/ddad154] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 09/01/2023] [Accepted: 09/11/2023] [Indexed: 09/16/2023] Open
Abstract
Genes mutated in monogenic neurodevelopmental disorders are broadly expressed. This observation supports the concept that monogenic neurodevelopmental disorders are systemic diseases that profoundly impact neurodevelopment. We tested the systemic disease model focusing on Rett syndrome, which is caused by mutations in MECP2. Transcriptomes and proteomes of organs and brain regions from Mecp2-null mice as well as diverse MECP2-null male and female human cells were assessed. Widespread changes in the steady-state transcriptome and proteome were identified in brain regions and organs of presymptomatic Mecp2-null male mice as well as mutant human cell lines. The extent of these transcriptome and proteome modifications was similar in cortex, liver, kidney, and skeletal muscle and more pronounced than in the hippocampus and striatum. In particular, Mecp2- and MECP2-sensitive proteomes were enriched in synaptic and metabolic annotated gene products, the latter encompassing lipid metabolism and mitochondrial pathways. MECP2 mutations altered pyruvate-dependent mitochondrial respiration while maintaining the capacity to use glutamine as a mitochondrial carbon source. We conclude that mutations in Mecp2/MECP2 perturb lipid and mitochondrial metabolism systemically limiting cellular flexibility to utilize mitochondrial fuels.
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Affiliation(s)
- Stephanie A Zlatic
- Department of Cell Biology, Emory University, 615 Michael Steet, Atlanta, GA 30322, United States
| | - Erica Werner
- Department of Cell Biology, Emory University, 615 Michael Steet, Atlanta, GA 30322, United States
| | - Veda Surapaneni
- Department of Cell Biology, Emory University, 615 Michael Steet, Atlanta, GA 30322, United States
| | - Chelsea E Lee
- Department of Cell Biology, Emory University, 615 Michael Steet, Atlanta, GA 30322, United States
| | - Avanti Gokhale
- Department of Cell Biology, Emory University, 615 Michael Steet, Atlanta, GA 30322, United States
| | - Kaela Singleton
- Department of Cell Biology, Emory University, 615 Michael Steet, Atlanta, GA 30322, United States
| | - Duc Duong
- Department of Biochemistry, Emory University, 1510 Clifton Rd NE, Atlanta, GA 30322, United States
| | - Amanda Crocker
- Program in Neuroscience, Middlebury College, Bicentennial Way, Middlebury, VT 05753, United States
| | - Karen Gentile
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, 505 Irving Avenue, Syracuse, NY 13210, United States
| | - Frank Middleton
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, 505 Irving Avenue, Syracuse, NY 13210, United States
| | - Joseph Martin Dalloul
- Pharmacology and Chemical Biology, Emory University, 1510 Clifton Rd NE, Atlanta, GA 30322, United States
| | - William Li-Yun Liu
- Pharmacology and Chemical Biology, Emory University, 1510 Clifton Rd NE, Atlanta, GA 30322, United States
| | - Anupam Patgiri
- Pharmacology and Chemical Biology, Emory University, 1510 Clifton Rd NE, Atlanta, GA 30322, United States
| | - Daniel Tarquinio
- Center for Rare Neurological Diseases, 5600 Oakbrook Pkwy, Norcross, GA 30093, United States
| | - Randall Carpenter
- Rett Syndrome Research Trust, 67 Under Cliff Rd, Trumbull, CT 06611, United States
| | - Victor Faundez
- Department of Cell Biology, Emory University, 615 Michael Steet, Atlanta, GA 30322, United States
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21
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Zhang L, Zhai BZ, Wu YJ, Wang Y. Recent progress in the development of nanomaterials targeting multiple cancer metabolic pathways: a review of mechanistic approaches for cancer treatment. Drug Deliv 2023; 30:1-18. [PMID: 36597205 PMCID: PMC9943254 DOI: 10.1080/10717544.2022.2144541] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
Cancer is a very heterogeneous disease, and uncontrolled cell division is the main characteristic of cancer. Cancerous cells need a high nutrition intake to enable aberrant growth and survival. To do so, cancer cells modify metabolic pathways to produce energy and anabolic precursors and preserve redox balance. Due to the importance of metabolic pathways in tumor growth and malignant transformation, metabolic pathways have also been given promising perspectives for cancer treatment, providing more effective treatment strategies, and target-specific with minimum side effects. Metabolism-based therapeutic nanomaterials for targeted cancer treatment are a promising option. Numerous types of nanoparticles (NPs) are employed in the research and analysis of various cancer therapies. The current review focuses on cutting-edge strategies and current cancer therapy methods based on nanomaterials that target various cancer metabolisms. Additionally, it highlighted the primacy of NPs-based cancer therapies over traditional ones, the challenges, and the future potential.
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Affiliation(s)
- Ling Zhang
- Reproductive Medicine Center, Department of Reproductive Endocrinology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, 310014, China,CONTACT Ling Zhang Reproductive Medicine Center, Department of Reproductive Endocrinology, Zhejiang Provincial People’s Hospital, Affiliated People’s Hospital, Hangzhou Medical College, No. 158 Shangtang Road, Hangzhou310014, Zhejiang, China
| | - Bing-Zhong Zhai
- Hangzhou Municipal Center for Disease Control and Prevention, Hangzhou, Zhejiang, 310021, China
| | - Yue-Jin Wu
- Institute of Food Science and Engineering, Hangzhou Medical College, Hangzhou, Zhejiang, 310013, China
| | - Yin Wang
- Institute of Food Science and Engineering, Hangzhou Medical College, Hangzhou, Zhejiang, 310013, China,; Yin Wang Institute of Food Science and Engineering, Hangzhou Medical College, 182 Tianmushan Road, Hangzhou310013, Zhejiang, China
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22
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Song S, Xie S, Liu X, Li S, Wang L, Jiang X, Lu D. miR-3200 accelerates the growth of liver cancer cells by enhancing Rab7A. Noncoding RNA Res 2023; 8:675-685. [PMID: 37860266 PMCID: PMC10582768 DOI: 10.1016/j.ncrna.2023.10.005] [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: 07/11/2023] [Revised: 10/07/2023] [Accepted: 10/07/2023] [Indexed: 10/21/2023] Open
Abstract
Researches indicate miR-3200 is closely related to tumorigenesis, However, the role of miR-3200 in human hepatocarcinogenesis is still unclear. In this study, we clearly demonstrate that miR-3200 accelerates the growth of liver cancer cells in vivo and in vitro. Obviously, these findings are noteworthy that miR-3200 affects the transcriptional regulation for several genes, including DSP,BABAM2, Rab7A,SQSTM1,PRKAG2,CDK1,ABCE1,BECN1,PTEN,UPRT. And miR-3200 affects the transcriptional ability of several genes, such as, upregulating CADPS, DSP,FBXO32, PPCA,SGK1, PATXN7L1, PLK2,ITGB5,FZD3,HOXC8,HSPA1A,C-Myc,CyclnD1,CyclinE,PCNA and down -regulating SUV39H1, MYO1G, OLFML3, CBX5, PPDE2A, HOXA7, RAD54L, CDC45,SHMT7,MAD2L1,P27,IQGAP3,PTEN,P57,SCAMP3,etc...On the other hand, it is obvious that miR-3200 affects the translational ability of several genes, such as, upregulating GNS,UPRT,EIFAD,YOS1,SGK1,K-Ras,PKM2,C-myc,Pim1,CyclinD1,mTOR,erbB-2,CyclinE,PCNA,RRAS,ARAF,RAPH1,etc.. and down-regulating KDM2A, AATF, TMM17B, RAB8B, MYO1G,P21WAF1/Cip1,GADD45,PTEN,P27,P18,P57,SERBP1,RPL34,UFD1,Bax,ANXA6,GSK3β. Strikingly, miR-3200 affects some signaling pathway in liver cancer, including carbon metabolism signaling pathway, DNA replication pathway, FoxO signaling pathway, Hippo signaling pathway, serine and threonine metabolism signaling pathway, mTOR signaling pathway, Fatty acid biosynthesis signaling pathway, carcinogenesis-receptor activation signaling pathway, autophagy signaling pathway. Furthermore, our results suggest that miR-3200 enhances expression of RAB7A, and then Rab7A regulates the carcinogenic function of miR-3200 by increasing telomere remodeling in human liver cancer. These results are of great significance for the prevention and treatment of human liver cancer.
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Affiliation(s)
| | | | | | - Shujie Li
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
| | - Liyan Wang
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
| | - Xiaoxue Jiang
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
| | - Dongdong Lu
- Shanghai Putuo People's Hospital, School of Life Science and Technology, Tongji University, Shanghai, 200092, China
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23
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Arponen O, Wodtke P, Gallagher FA, Woitek R. Hyperpolarised 13C-MRI using 13C-pyruvate in breast cancer: A review. Eur J Radiol 2023; 167:111058. [PMID: 37666071 DOI: 10.1016/j.ejrad.2023.111058] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Revised: 08/14/2023] [Accepted: 08/21/2023] [Indexed: 09/06/2023]
Abstract
Tumour metabolism can be imaged with a novel imaging technique termed hyperpolarised carbon-13 (13C)-MRI using probes, i.e., endogenously found molecules that are labeled with 13C. Hyperpolarisation of the 13C label increases the sensitivity to a level that allows dynamic imaging of the distribution and metabolism of the probes. Dynamic imaging of [1-13C]pyruvate metabolism is of particular biological interest in cancer because of the Warburg effect resulting in the intratumoural accumulation of [1-13C]pyruvate and conversion to [1-13C]lactate. Numerous preclinical studies in breast cancer and other tumours have shown that hyperpolarised 13C-pyruvate has potential for metabolic phenotyping and response assessment at earlier timepoints than the current clinical imaging techniques allow. The clinical feasibility of hyperpolarised 13C-MRI after the injection of pyruvate in patients with breast cancer has now been demonstrated, with increased 13C-label exchange between pyruvate and lactate present in higher grade tumours with associated increased expression of the monocarboxylate transporter 1 (MCT1), the transmembrane transporter mediating intracellular pyruvate uptake, and lactate dehydrogenase (LDH) as the enzyme catalysing the conversion of pyruvate to lactate. Furthermore, a study in patients with breast cancer undergoing neoadjuvant chemotherapy suggested that early changes in 13C-label exchange can distinguish between patients who reach pathologic complete response (pCR) and those who do not. This review summarises the current literature on preclinical and clinical research on hyperpolarised 13C-MRI with [1-13C]-pyruvate in breast cancer imaging.
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Affiliation(s)
- Otso Arponen
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom.
| | - Pascal Wodtke
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom
| | - Ferdia A Gallagher
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom
| | - Ramona Woitek
- Department of Radiology, University of Cambridge, Cambridge, United Kingdom; Cancer Research UK Cambridge Center, Cambridge, United Kingdom; Research Center for Medical Image Analysis and Artificial Intelligence (MIAAI), Danube Private University, Krems, Austria
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24
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Liu D, Wang Y, Li X, Wang Y, Zhang Z, Wang Z, Zhang X. Participation of protein metabolism in cancer progression and its potential targeting for the management of cancer. Amino Acids 2023; 55:1223-1246. [PMID: 37646877 DOI: 10.1007/s00726-023-03316-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Accepted: 08/11/2023] [Indexed: 09/01/2023]
Abstract
Cancer malignancies may broadly be described as heterogeneous disorders manifested by uncontrolled cellular growth/division and proliferation. Tumor cells utilize metabolic reprogramming to accomplish the upregulated nutritional requirements for sustaining their uncontrolled growth, proliferation, and survival. Metabolic reprogramming also called altered or dysregulated metabolism undergoes modification in normal metabolic pathways for anabolic precursor's generation that serves to continue biomass formation that sustains the growth, proliferation, and survival of carcinogenic cells under a nutrition-deprived microenvironment. A wide range of dysregulated/altered metabolic pathways encompassing different metabolic regulators have been described; however, the current review is focused to explain deeply the metabolic pathways modifications inducing upregulation of proteins/amino acids metabolism. The essential modification of various metabolic cycles with their consequent outcomes meanwhile explored promising therapeutic targets playing a pivotal role in metabolic regulation and is successfully employed for effective target-specific cancer treatment. The current review is aimed to understand the metabolic reprogramming of different proteins/amino acids involved in tumor progression along with potential therapeutic perspective elucidating targeted cancer therapy via these targets.
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Affiliation(s)
- Dalong Liu
- Department of Orthopedics, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130000, China
| | - Yun Wang
- Department of Thoracic Surgery, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130000, China
| | - Xiaojiang Li
- Department of Orthopedics, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130000, China
| | - Yan Wang
- Department of Neurosurgery, People's Hospital of Jilin City, Jilin, 136200, China
| | - Zhiqiang Zhang
- Department of Orthopedics, Baishan Hospital of Traditional Chinese Medicine, Baishan, 134300, China
| | - Zhifeng Wang
- Department of Traditional Chinese Medicine, Changchun Chaoyang District Hospital of Traditional Chinese Medicine, Changchun, 130000, China
| | - Xudong Zhang
- Department of Brain Surgery, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, 130000, China.
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25
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Zlatic SA, Werner E, Surapaneni V, Lee CE, Gokhale A, Singleton K, Duong D, Crocker A, Gentile K, Middleton F, Dalloul JM, Liu WLY, Patgiri A, Tarquinio D, Carpenter R, Faundez V. Systemic Proteome Phenotypes Reveal Defective Metabolic Flexibility in Mecp2 Mutants. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.03.535431. [PMID: 37066332 PMCID: PMC10103972 DOI: 10.1101/2023.04.03.535431] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/24/2023]
Abstract
Genes mutated in monogenic neurodevelopmental disorders are broadly expressed. This observation supports the concept that monogenic neurodevelopmental disorders are systemic diseases that profoundly impact neurodevelopment. We tested the systemic disease model focusing on Rett syndrome, which is caused by mutations in MECP2. Transcriptomes and proteomes of organs and brain regions from Mecp2-null mice as well as diverse MECP2-null male and female human cells were assessed. Widespread changes in the steady-state transcriptome and proteome were identified in brain regions and organs of presymptomatic Mecp2-null male mice as well as mutant human cell lines. The extent of these transcriptome and proteome modifications was similar in cortex, liver, kidney, and skeletal muscle and more pronounced than in the hippocampus and striatum. In particular, Mecp2- and MECP2-sensitive proteomes were enriched in synaptic and metabolic annotated gene products, the latter encompassing lipid metabolism and mitochondrial pathways. MECP2 mutations altered pyruvate-dependent mitochondrial respiration while maintaining the capacity to use glutamine as a mitochondrial carbon source. We conclude that mutations in Mecp2/MECP2 perturb lipid and mitochondrial metabolism systemically limiting cellular flexibility to utilize mitochondrial fuels.
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Affiliation(s)
| | - Erica Werner
- Department of Cell Biology, Emory University, Atlanta, GA, USA, 30322
| | - Veda Surapaneni
- Department of Cell Biology, Emory University, Atlanta, GA, USA, 30322
| | - Chelsea E. Lee
- Department of Cell Biology, Emory University, Atlanta, GA, USA, 30322
| | - Avanti Gokhale
- Department of Cell Biology, Emory University, Atlanta, GA, USA, 30322
| | - Kaela Singleton
- Department of Cell Biology, Emory University, Atlanta, GA, USA, 30322
| | - Duc Duong
- Department of Biochemistry, Emory University, Atlanta, GA, USA, 30322
| | - Amanda Crocker
- Program in Neuroscience, Middlebury College, Middlebury, Vermont 05753
| | - Karen Gentile
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY 13210, USA
| | - Frank Middleton
- Department of Neuroscience and Physiology, SUNY Upstate Medical University, Syracuse, NY 13210, USA
| | - Joseph Martin Dalloul
- Department of Pharmacology & Chemical Biology, Emory University, Atlanta, GA, USA, 30322
| | - William Li-Yun Liu
- Department of Pharmacology & Chemical Biology, Emory University, Atlanta, GA, USA, 30322
| | - Anupam Patgiri
- Department of Pharmacology & Chemical Biology, Emory University, Atlanta, GA, USA, 30322
| | | | | | - Victor Faundez
- Department of Cell Biology, Emory University, Atlanta, GA, USA, 30322
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26
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Zhang Y, Zhang Y, Chen T, Lin Y, Gong J, Xu Q, Wang J, Li J, Meng Y, Li Y, Li X. Caveolin-1 depletion attenuates hepatic fibrosis via promoting SQSTM1-mediated PFKL degradation in HSCs. Free Radic Biol Med 2023; 204:95-107. [PMID: 37116593 DOI: 10.1016/j.freeradbiomed.2023.04.009] [Citation(s) in RCA: 4] [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: 03/01/2023] [Revised: 04/15/2023] [Accepted: 04/18/2023] [Indexed: 04/30/2023]
Abstract
The key glycolytic enzyme phosphofructokinase (PFK) is responsible for maintaining glycolytic stability and an important energy source for activating hepatic stellate cells (HSCs). However, its regulation in activated HSCs remains unclear. Caveolin-1 (Cav1), a major constituent of caveolae, has emerged as a key target for triggering glycolysis. However, the relationship between Cav1 and glycolysis during HSC activation is not well established. In this study, Cav1 was upregulated in mouse and human fibrotic liver tissues. We concluded that HSC-specific Cav1 knockdown markedly alleviates liver injury and fibrosis. Mechanistically, Cav1 was elevated during primary mouse HSC activation, competing with SQSTM1 for the regulatory subunit of PFK liver type and inhibiting the SQSTM1-mediated autophagy-independent lysosomal degradation pathway to sustain HSC activation. We also identified the heptapeptide alamandine as a promising therapeutic agent that downregulates Cav1 protein levels via proteasomal degradation and may impair glycolysis. Our study provides evidence of the crucial role and mechanism of Cav1 in the glucose metabolic network in HSCs and highlights Cav1 as a critical therapeutic target for the treatment of liver fibrosis.
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Affiliation(s)
- Yan Zhang
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Yijie Zhang
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Tingting Chen
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Ying Lin
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Jiacheng Gong
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Qihan Xu
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Jun Wang
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Jierui Li
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China; Guangdong Provincial Key Laboratory of Gastroenterology, Department of Gastroenterology, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China
| | - Ying Meng
- Department of Respiratory Diseases, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.
| | - Yang Li
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.
| | - Xu Li
- Department of Emergency Medicine, Nanfang Hospital, Southern Medical University, 510515, Guangzhou, China.
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27
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Perazzoli G, García-Valdeavero OM, Peña M, Prados J, Melguizo C, Jiménez-Luna C. Evaluating Metabolite-Based Biomarkers for Early Diagnosis of Pancreatic Cancer: A Systematic Review. Metabolites 2023; 13:872. [PMID: 37512579 PMCID: PMC10384620 DOI: 10.3390/metabo13070872] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Revised: 07/13/2023] [Accepted: 07/21/2023] [Indexed: 07/30/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers, with five-year survival rates around 10%. The only curative option remains complete surgical resection, but due to the delay in diagnosis, less than 20% of patients are eligible for surgery. Therefore, discovering diagnostic biomarkers for early detection is crucial for improving clinical outcomes. Metabolomics has become a powerful technology for biomarker discovery, and several metabolomic-based panels have been proposed for PDAC diagnosis, but these advances have not yet been translated into the clinic. Therefore, this review focused on summarizing metabolites identified for the early diagnosis of PDAC in the last five years. Bibliographic searches were performed in the PubMed, Scopus and WOS databases, using the terms "Biomarkers, Tumor", "Pancreatic Neoplasms", "Early Diagnosis", "Metabolomics" and "Lipidome" (January 2018-March 2023), and resulted in the selection of fourteen original studies that compared PDAC patients with subjects with other pancreatic diseases. These investigations showed amino acid and lipid metabolic pathways as the most commonly altered, reflecting their potential for biomarker research. Furthermore, other relevant metabolites such as glucose and lactate were detected in the pancreas tissue and body fluids from PDAC patients. Our results suggest that the use of metabolomics remains a robust approach to improve the early diagnosis of PDAC. However, these studies showed heterogeneity with respect to the metabolomics techniques used and further studies will be needed to validate the clinical utility of these biomarkers.
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Affiliation(s)
- Gloria Perazzoli
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18100 Granada, Spain
- Department of Anatomy and Embryology, Faculty of Medicine, University of Granada, 18071 Granada, Spain
- Instituto Biosanitario de Granada (ibs.GRANADA), 18014 Granada, Spain
| | - Olga M García-Valdeavero
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18100 Granada, Spain
| | - Mercedes Peña
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18100 Granada, Spain
- Department of Anatomy and Embryology, Faculty of Medicine, University of Granada, 18071 Granada, Spain
- Instituto Biosanitario de Granada (ibs.GRANADA), 18014 Granada, Spain
| | - Jose Prados
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18100 Granada, Spain
- Department of Anatomy and Embryology, Faculty of Medicine, University of Granada, 18071 Granada, Spain
- Instituto Biosanitario de Granada (ibs.GRANADA), 18014 Granada, Spain
| | - Consolación Melguizo
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18100 Granada, Spain
- Department of Anatomy and Embryology, Faculty of Medicine, University of Granada, 18071 Granada, Spain
- Instituto Biosanitario de Granada (ibs.GRANADA), 18014 Granada, Spain
| | - Cristina Jiménez-Luna
- Institute of Biopathology and Regenerative Medicine (IBIMER), Center of Biomedical Research (CIBM), University of Granada, 18100 Granada, Spain
- Department of Anatomy and Embryology, Faculty of Medicine, University of Granada, 18071 Granada, Spain
- Instituto Biosanitario de Granada (ibs.GRANADA), 18014 Granada, Spain
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28
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Shi Q, Xue C, Zeng Y, Gu X, Wang J, Li L. A novel prognostic model for hepatocellular carcinoma based on pyruvate metabolism-related genes. Sci Rep 2023; 13:9780. [PMID: 37328616 PMCID: PMC10275940 DOI: 10.1038/s41598-023-37000-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 06/14/2023] [Indexed: 06/18/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is the most prevalent form of primary liver cancer, accounting for over 90% of cases. As pyruvate metabolic pathways are often dysregulated in cancer cells, investigating pyruvate metabolism-related genes may help identify prognostic gene signature and develop potential strategies for the management of patients with HCC. The mRNA expression profile, gene mutation data, and clinical information of HCC were obtained from open-source databases. A list of pyruvate metabolism-related genes was downloaded from the MSigDB dataset. Our findings revealed that certain pyruvate metabolism-related genes had copy number variations and single nucleotide variations in patients with liver cancer. Based on pyruvate metabolism-related genes, we stratified patients with HCC into three subtypes with different prognoses, clinical features, mutation profiles, functional annotation, and immune infiltration status. Next, we identified 13 key pyruvate metabolism-related genes significantly correlated with the prognosis of HCC using six machine learning algorithms and constructed a risk model. We also observed that the risk score was positively associated with a worse prognosis and increased immune infiltration. In summary, our study established a prognostic risk model for HCC based on pyruvate metabolism-related genes, which may contribute to the identification of potential prognostic targets and the development of new clinical management strategies for HCC.
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Affiliation(s)
- Qingmiao Shi
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Chen Xue
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Yifan Zeng
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Xinyu Gu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Jinzhi Wang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, 79 Qingchun Rd., Hangzhou City, 310003, China.
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29
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Considine MJ, Foyer CH. Metabolic regulation of quiescence in plants. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 114:1132-1148. [PMID: 36994639 PMCID: PMC10952390 DOI: 10.1111/tpj.16216] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 03/19/2023] [Accepted: 03/24/2023] [Indexed: 05/31/2023]
Abstract
Quiescence is a crucial survival attribute in which cell division is repressed in a reversible manner. Although quiescence has long been viewed as an inactive state, recent studies have shown that it is an actively monitored process that is influenced by environmental stimuli. Here, we provide a perspective of the quiescent state and discuss how this process is tuned by energy, nutrient and oxygen status, and the pathways that sense and transmit these signals. We not only highlight the governance of canonical regulators and signalling mechanisms that respond to changes in nutrient and energy status, but also consider the central significance of mitochondrial functions and cues as key regulators of nuclear gene expression. Furthermore, we discuss how reactive oxygen species and the associated redox processes, which are intrinsically linked to energy carbohydrate metabolism, also play a key role in the orchestration of quiescence.
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Affiliation(s)
- Michael J. Considine
- The UWA Institute of Agriculture and the School of Molecular SciencesThe University of Western AustraliaPerthWestern Australia6009Australia
- The Department of Primary Industries and Regional DevelopmentPerthWestern Australia6000Australia
| | - Christine H. Foyer
- School of Biosciences, College of Life and Environmental SciencesUniversity of BirminghamEdgbastonB15 2TTUK
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30
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Hudson J, Paul S, Veraksa A, Ghabrial A, Harvey KF, Poon C. NDR kinase tricornered genetically interacts with Ccm3 and metabolic enzymes in Drosophila melanogaster tracheal development. G3 (BETHESDA, MD.) 2023; 13:6991444. [PMID: 36653023 PMCID: PMC9997570 DOI: 10.1093/g3journal/jkad013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 07/18/2022] [Accepted: 12/14/2022] [Indexed: 01/20/2023]
Abstract
The Germinal Center Kinase III (GckIII) pathway is a Hippo-like kinase module defined by sequential activation of Ste20 kinases Thousand and One (Tao) and GckIII, followed by nuclear dbf2-related (NDR) kinase Tricornered (Trc). We previously uncovered a role for the GckIII pathway in Drosophila melanogaster tracheal (respiratory) tube morphology. The trachea form a network of branched epithelial tubes essential for oxygen transport, and are structurally analogous to branched tubular organs in vertebrates, such as the vascular system. In the absence of GckIII pathway function, aberrant dilations form in tracheal tubes characterized by mislocalized junctional and apical proteins, suggesting that the pathway is important in maintaining tube integrity in development. Here, we observed a genetic interaction between trc and Cerebral cavernous malformations 3 (Ccm3), the Drosophila ortholog of a human vascular disease gene, supporting our hypothesis that the GckIII pathway functions downstream of Ccm3 in trachea, and potentially in the vertebrate cerebral vasculature. However, how GckIII pathway signaling is regulated and the mechanisms that underpin its function in tracheal development are unknown. We undertook biochemical and genetic approaches to identify proteins that interact with Trc, the most downstream GckIII pathway kinase. We found that known GckIII and NDR scaffold proteins are likely to control GckIII pathway signaling in tracheal development, consistent with their conserved roles in Hippo-like modules. Furthermore, we show genetic interactions between trc and multiple enzymes in glycolysis and oxidative phosphorylation, suggesting a potential function of the GckIII pathway in integrating cellular energy requirements with maintenance of tube integrity.
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Affiliation(s)
- Joshua Hudson
- Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3010, Australia
| | - Sayantanee Paul
- Department of Biology, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Alexey Veraksa
- Department of Biology, University of Massachusetts Boston, Boston, MA 02125, USA
| | - Amin Ghabrial
- Department of Pathology and Cell Biology, Columbia University College of Physicians and Surgeons, 630 West 168th Street, New York, NY 10032, USA
| | - Kieran F Harvey
- Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3010, Australia.,Department of Anatomy and Developmental Biology, and Biomedicine Discovery Institute, Monash University, Clayton 3800, Australia
| | - Carole Poon
- Peter MacCallum Cancer Centre, 305 Grattan Street, Melbourne, Victoria 3000, Australia.,Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria 3010, Australia
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Role of mitochondria in regulating immune response during bacterial infection. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2023; 374:159-200. [PMID: 36858655 DOI: 10.1016/bs.ircmb.2022.10.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Mitochondria are dynamic organelles of eukaryotes involved in energy production and fatty acid oxidation. Besides maintaining ATP production, calcium signaling, cellular apoptosis, and fatty acid synthesis, mitochondria are also known as the central hub of the immune system as it regulates the innate immune pathway during infection. Mitochondria mediated immune functions mainly involve regulation of reactive oxygen species production, inflammasome activation, cytokine secretion, and apoptosis of infected cells. Recent findings indicate that cellular mitochondria undergo constant biogenesis, fission, fusion and degradation, and these dynamics regulate cellular immuno-metabolism. Several intracellular pathogens target and modulate these normal functions of mitochondria to facilitate their own survival and growth. De-regulation of mitochondrial functions and dynamics favors bacterial infection and pathogens are able to protect themselves from mitochondria mediated immune responses. Here, we will discuss how mitochondria mediated anti-bacterial immune pathways help the host to evade pathogenic insult. In addition, examples of bacterial pathogens modulating mitochondrial metabolism and dynamics will also be elaborated. Study of these interactions between the mitochondria and bacterial pathogens during infection will lead to a better understanding of the mitochondrial metabolism pathways and dynamics important for the establishment of bacterial diseases. In conclusion, detailed studies on how mitochondria regulate the immune response during bacterial infection can open up new avenues to develop mitochondria centric anti-bacterial therapeutics.
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Malaguarnera M, Catania VE, Malaguarnera M. Carnitine derivatives beyond fatigue: an update. Curr Opin Gastroenterol 2023; 39:125-128. [PMID: 36821461 PMCID: PMC10516168 DOI: 10.1097/mog.0000000000000906] [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] [Indexed: 02/24/2023]
Abstract
PURPOSE OF REVIEW Carnitine is an essential micronutrient that transfer long-chain fatty acids from the cytoplasm into the mitochondrial matrix for the β-oxidation. Carnitine is also needed for the mitochondrial efflux of acyl groups in the cases wherein substrate oxidation exceeds energy demands. RECENT FINDINGS Carnitine deficiency can affect the oxidation of free fatty acids in the mitochondria resulting in the aggregation of lipids in the cytoplasm instead of entering the citric acid cycle. The aggregation leads a lack of energy, acetyl coenzyme A accumulation in the mitochondria and cytotoxic production. SUMMARY Carnitine and its derivatives show great clinical therapeutic effect without significant side effects.
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Yeo CT, Kropp EM, Hansen PA, Pereckas M, Oleson BJ, Naatz A, Stancill JS, Ross KA, Gundry RL, Corbett JA. β-cell-selective inhibition of DNA damage response signaling by nitric oxide is associated with an attenuation in glucose uptake. J Biol Chem 2023; 299:102994. [PMID: 36773802 PMCID: PMC10023961 DOI: 10.1016/j.jbc.2023.102994] [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: 09/12/2022] [Revised: 01/31/2023] [Accepted: 02/01/2023] [Indexed: 02/11/2023] Open
Abstract
Nitric oxide (NO) plays a dual role in regulating DNA damage response (DDR) signaling in pancreatic β-cells. As a genotoxic agent, NO activates two types of DDR signaling; however, when produced at micromolar levels by the inducible isoform of NO synthase, NO inhibits DDR signaling and DDR-induced apoptosis in a β-cell-selective manner. DDR signaling inhibition by NO correlates with mitochondrial oxidative metabolism inhibition and decreases in ATP and NAD+. Unlike most cell types, β-cells do not compensate for impaired mitochondrial oxidation by increasing glycolytic flux, and this metabolic inflexibility leads to a decrease in ATP and NAD+. Here, we used multiple analytical approaches to determine changes in intermediary metabolites in β-cells and non-β-cells treated with NO or complex I inhibitor rotenone. In addition to ATP and NAD+, glycolytic and tricarboxylic acid cycle intermediates as well as NADPH are significantly decreased in β-cells treated with NO or rotenone. Consistent with glucose-6-phosphate residing at the metabolic branchpoint for glycolysis and the pentose phosphate pathway (NADPH), we show that mitochondrial oxidation inhibitors limit glucose uptake in a β-cell-selective manner. Our findings indicate that the β-cell-selective inhibition of DDR signaling by NO is associated with a decrease in ATP to levels that fall significantly below the KM for ATP of glucokinase (glucose uptake) and suggest that this action places the β-cell in a state of suspended animation where it is metabolically inert until NO is removed, and metabolic function can be restored.
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Affiliation(s)
- Chay Teng Yeo
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Erin M Kropp
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Polly A Hansen
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Michael Pereckas
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Bryndon J Oleson
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Aaron Naatz
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Jennifer S Stancill
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Kyle A Ross
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Rebekah L Gundry
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - John A Corbett
- Department of Biochemistry, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
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Jiang T, Du K, Wang P, Wang X, Zang L, Peng D, Chen X, Sun G, Zhang H, Fan Z, Cao Z, Zhou T. Sugarcane mosaic virus orchestrates the lactate fermentation pathway to support its successful infection. FRONTIERS IN PLANT SCIENCE 2023; 13:1099362. [PMID: 36699858 PMCID: PMC9868461 DOI: 10.3389/fpls.2022.1099362] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Viruses often establish their own infection by altering host metabolism. How viruses co-opt plant metabolism to support their successful infection remains an open question. Here, we used untargeted metabolomics to reveal that lactate accumulates immediately before and after robust sugarcane mosaic virus (SCMV) infection. Induction of lactate-involved anaerobic glycolysis is beneficial to SCMV infection. The enzyme activity and transcriptional levels of lactate dehydrogenase (LDH) were up-regulated by SCMV infection, and LDH is essential for robust SCMV infection. Moreover, LDH relocates in viral replicase complexes (VRCs) by interacting with SCMV-encoded 6K2 protein, a key protein responsible for inducing VRCs. Additionally, lactate could promote SCMV infection by suppressing plant defense responses. Taken together, we have revealed a viral strategy to manipulate host metabolism to support replication compartment but also depress the defense response during the process of infection.
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Affiliation(s)
- Tong Jiang
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, Hebei, China
| | - Kaitong Du
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Pei Wang
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Xinhai Wang
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Lianyi Zang
- Collaborative Innovation Center of Fruit and Vegetable Quality and Efficient Production in Shandong, Shandong Agricultural University, Tai’an, China
| | - Dezhi Peng
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Xi Chen
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Geng Sun
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Hao Zhang
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Zaifeng Fan
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
| | - Zhiyan Cao
- State Key Laboratory of North China Crop Improvement and Regulation, Hebei Agricultural University, Baoding, Hebei, China
| | - Tao Zhou
- State Key Laboratory for Agro-Biotechnology, and Ministry of Agriculture and Rural Affairs, Key Laboratory for Pest Monitoring and Green Management, Department of Plant Pathology, China Agricultural University, Beijing, China
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Chidlow G, Chan WO, Wood JPM, Casson RJ. Investigations into photoreceptor energy metabolism during experimental retinal detachment. Front Cell Neurosci 2022; 16:1036834. [PMID: 36467607 PMCID: PMC9716104 DOI: 10.3389/fncel.2022.1036834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 11/01/2022] [Indexed: 08/27/2023] Open
Abstract
Retinal detachment is a sight-threatening disorder, which occurs when the photoreceptors are separated from their vascular supply. The aim of the present study was to shed light on photoreceptor energy metabolism during experimental detachment in rats. Retinal detachment was induced in the eyes of rats via subretinal injection of sodium hyaluronate. Initially, we investigated whether detachment caused hypoxia within photoreceptors, as evaluated by the exogenous and endogenous biomarkers pimonidazole and HIF-1α, as well as by qPCR analysis of HIF target genes. The results showed no unequivocal staining for pimonidazole or HIF-1α within any detached retina, nor upregulation of HIF target genes, suggesting that any reduction in pO2 is of insufficient magnitude to produce hypoxia-induced covalent protein adducts or HIF-1α stabilisation. Subsequently, we analysed expression of cellular bioenergetic enzymes in photoreceptors during detachment. We documented loss of mitochondrial, and downregulation of glycolytic enzymes during detachment, indicating that photoreceptors have reduced energetic requirements and/or capacity. Given that detachment did not cause widespread hypoxia, but did result in downregulated expression of bioenergetic enzymes, we hypothesised that substrate insufficiency may be critical in terms of pathogenesis, and that boosting metabolic inputs may preserve photoreceptor bioenergetic production and, protect against their degeneration. Thus, we tested whether supplementation with the bioavailable energy substrate pyruvate mitigated rod and cone injury and degeneration. Despite protecting photoreceptors in culture from nutrient deprivation, pyruvate failed to protect against apoptotic death of rods, loss of cone opsins, and loss of inner segment mitochondria, in situ, when evaluated at 3 days after detachment. The regimen was also ineffective against cumulative photoreceptor deconstruction and degeneration when evaluated after 4 weeks. Retinal metabolism, particularly the bioenergetic profiles and pathological responses of the various cellular subtypes still presents a considerable knowledge gap that has important clinical consequences. While our data do not support the use of pyruvate supplementation as a means of protecting detached photoreceptors, they do provide a foundation and motivation for future research in this area.
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Affiliation(s)
- Glyn Chidlow
- Ophthalmic Research Laboratories, Discipline of Ophthalmology and Visual Sciences, University of Adelaide, Adelaide, SA, Australia
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Jiang Y, Wang T, Sheng D, Han C, Xu T, Zhang P, You W, Fan W, Zhang Z, Jin T, Duan X, Yuan X, Liu X, Zhang K, Ruan K, Shi J, Guo J, Cheng A, Yang Z. Aurora A-mediated pyruvate kinase M2 phosphorylation promotes biosynthesis with glycolytic metabolites and tumor cell cycle progression. J Biol Chem 2022; 298:102561. [PMID: 36198360 PMCID: PMC9637814 DOI: 10.1016/j.jbc.2022.102561] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Revised: 09/26/2022] [Accepted: 09/27/2022] [Indexed: 11/18/2022] Open
Abstract
Cancer cells have distinctive demands for intermediates from glucose metabolism for biosynthesis and energy in different cell cycle phases. However, how cell cycle regulators and glycolytic enzymes coordinate to orchestrate the essential metabolic processes are still poorly characterized. Here, we report a novel interaction between the mitotic kinase, Aurora A, and the glycolytic enzyme, pyruvate kinase M2 (PKM2), in the interphase of the cell cycle. We found Aurora A-mediated phosphorylation of PKM2 at threonine 45. This phosphorylation significantly attenuated PKM2 enzymatic activity by reducing its tetramerization and also promoted glycolytic flux and the branching anabolic pathways. Replacing the endogenous PKM2 with a nonphosphorylated PKM2 T45A mutant inhibited glycolysis, glycolytic branching pathways, and tumor growth in both in vitro and in vivo models. Together, our study revealed a new protumor function of Aurora A through modulating a rate-limiting glycolytic enzyme, PKM2, mainly during the S phase of the cell cycle. Our findings also showed that although both Aurora A and Aurora B kinase phosphorylate PKM2 at the same residue, the spatial and temporal regulations of the specific kinase and PKM2 interaction are context dependent, indicating intricate interconnectivity between cell cycle and glycolytic regulators.
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Affiliation(s)
- Ya Jiang
- Department of Digestive Disease, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China; MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Ting Wang
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Dandan Sheng
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Chaoqiang Han
- Department of Digestive Disease, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China
| | - Tian Xu
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Peng Zhang
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Weiyi You
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Weiwei Fan
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Zhiyong Zhang
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Tengchuan Jin
- Department of Digestive Disease, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China
| | - Xiaotao Duan
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, China
| | - Xiao Yuan
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China; Anhui Key Laboratory of Cellular Dynamics and Chemical Biology &CAS Center of Excellence in Molecular Cell Sciences, Hefei, Anhui, China
| | - Xing Liu
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China; Anhui Key Laboratory of Cellular Dynamics and Chemical Biology &CAS Center of Excellence in Molecular Cell Sciences, Hefei, Anhui, China
| | - Kaiguang Zhang
- Department of Digestive Disease, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China
| | - Ke Ruan
- MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China
| | - Jue Shi
- Department of Physics and Department of Biology, Center for Quantitative Systems Biology, Hong Kong Baptist University, Hong Kong, China
| | - Jing Guo
- Department of Digestive Disease, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China
| | - Aoxing Cheng
- Department of Digestive Disease, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China.
| | - Zhenye Yang
- Department of Digestive Disease, The First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Hospital, Hefei, China; MOE Key Laboratory for Cellular Dynamics, University of Science and Technology of China, Hefei, China; Biomedical Sciences and Health Laboratory of Anhui Province, University of Science & Technology of China, Hefei, China.
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Huang C, Huang W, Ji P, Song F, Liu T, Li M, Guo H, Huang Y, Yu C, Wang C, Ni W. A Pyrazolate Osmium(VI) Nitride Exhibits Anticancer Activity through Modulating Protein Homeostasis in HepG2 Cells. Int J Mol Sci 2022; 23:ijms232112779. [PMID: 36361570 PMCID: PMC9656236 DOI: 10.3390/ijms232112779] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 02/05/2023] Open
Abstract
Interest in the third-row transition metal osmium and its compounds as potential anticancer agents has grown in recent years. Here, we synthesized the osmium(VI) nitrido complex Na[OsVI(N)(tpm)2] (tpm = [5-(Thien-2-yl)-1H-pyrazol-3-yl]methanol), which exhibited a greater inhibitory effect on the cell viabilities of the cervical, ovarian, and breast cancer cell lines compared with cisplatin. Proteomics analysis revealed that Na[OsVI(N)(tpm)2] modulates the expression of protein-transportation-associated, DNA-metabolism-associated, and oxidative-stress-associated proteins in HepG2 cells. Perturbation of protein expression activity by the complex in cancer cells affects the functions of the mitochondria, resulting in high levels of cellular oxidative stress and low rates of cell survival. Moreover, it caused G2/M phase cell cycle arrest and caspase-mediated apoptosis of HepG2 cells. This study reveals a new high-valent osmium complex as an anticancer agent candidate modulating protein homeostasis.
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Affiliation(s)
- Chengyang Huang
- Department of Physiology, Shantou University Medical College, Shantou 515041, China
- Department of Biological Chemistry, Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA
| | - Wanqiong Huang
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou 515041, China
| | - Pengchao Ji
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou 515041, China
| | - Fuling Song
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou 515041, China
| | - Tao Liu
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou 515041, China
| | - Meiyang Li
- Department of Physiology, Shantou University Medical College, Shantou 515041, China
| | - Hongzhi Guo
- Department of Physiology, Shantou University Medical College, Shantou 515041, China
| | - Yongliang Huang
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou 515041, China
| | - Cuicui Yu
- Department of Physiology, Shantou University Medical College, Shantou 515041, China
| | - Chuanxian Wang
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou 515041, China
| | - Wenxiu Ni
- Department of Medicinal Chemistry, Shantou University Medical College, Shantou 515041, China
- Correspondence:
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Multi-Omics Analysis Revealed a Significant Alteration of Critical Metabolic Pathways Due to Sorafenib-Resistance in Hep3B Cell Lines. Int J Mol Sci 2022; 23:ijms231911975. [PMID: 36233276 PMCID: PMC9569810 DOI: 10.3390/ijms231911975] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 09/16/2022] [Accepted: 09/25/2022] [Indexed: 11/09/2022] Open
Abstract
Hepatocellular carcinoma (HCC) is the second prominent cause of cancer-associated death worldwide. Usually, HCC is diagnosed in advanced stages, wherein sorafenib, a multiple target tyrosine kinase inhibitor, is used as the first line of treatment. Unfortunately, resistance to sorafenib is usually encountered within six months of treatment. Therefore, there is a critical need to identify the underlying reasons for drug resistance. In the present study, we investigated the proteomic and metabolomics alterations accompanying sorafenib resistance in hepatocellular carcinoma Hep3B cells by employing ultra-high-performance liquid chromatography quadrupole time of flight mass spectrometry (UHPLC-QTOF-MS). The Bruker Human Metabolome Database (HMDB) library was used to identify the differentially abundant metabolites through MetaboScape 4.0 software (Bruker). For protein annotation and identification, the Uniprot proteome for Homo sapiens (Human) database was utilized through MaxQuant. The results revealed that 27 metabolites and 18 proteins were significantly dysregulated due to sorafenib resistance in Hep3B cells compared to the parental phenotype. D-alanine, L-proline, o-tyrosine, succinic acid and phosphatidylcholine (PC, 16:0/16:0) were among the significantly altered metabolites. Ubiquitin carboxyl-terminal hydrolase isozyme L1, mitochondrial superoxide dismutase, UDP-glucose-6-dehydrogenase, sorbitol dehydrogenase and calpain small subunit 1 were among the significantly altered proteins. The findings revealed that resistant Hep3B cells demonstrated significant alterations in amino acid and nucleotide metabolic pathways, energy production pathways and other pathways related to cancer aggressiveness, such as migration, proliferation and drug-resistance. Joint pathway enrichment analysis unveiled unique pathways, including the antifolate resistance pathway and other important pathways that maintain cancer cells' survival, growth, and proliferation. Collectively, the results identified potential biomarkers for sorafenib-resistant HCC and gave insights into their role in chemotherapeutic drug resistance, cancer initiation, progression and aggressiveness, which may contribute to better prognosis and chemotherapeutic outcomes.
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Zhao K, Wang X, Zhao D, Lin Q, Zhang Y, Hu Y. lncRNA HITT Inhibits Lactate Production by Repressing PKM2 Oligomerization to Reduce Tumor Growth and Macrophage Polarization. RESEARCH (WASHINGTON, D.C.) 2022; 2022:9854904. [PMID: 35909936 PMCID: PMC9285634 DOI: 10.34133/2022/9854904] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 05/20/2022] [Indexed: 12/21/2022]
Abstract
Lactic acid acidifies the tumor microenvironment and promotes multiple critical oncogenic processes, including immune evasion. Pyruvate kinase M2 (PKM2) is a dominant form of pyruvate kinase (PK) expressed in cancers that plays essential roles in metabolic reprograming and lactate production, rendering it as an attractive therapeutic target of cancer. However, the mechanism underlying PKM2 regulation remains unclear. Here, we show that long noncoding RNA (lncRNA) HIF-1α inhibitor at transcription level (HITT) inhibits lactate production in a PKM2-dependent manner. Mechanistically, it physically interacts with PKM2 mapped to a region that has been involved in both dimer (less-active) and tetramer (more-active) formation, inhibiting PKM2 oligomerization and leading to dramatic reduction of PK activity. Under glucose starvation, HITT was reduced as a result of miR-106 induction, which subsequently facilitates PKM2 oligomerization and increases vulnerability to apoptosis under glucose starvation stress. In addition, the interaction also reduces lactate secretion from cancer cells, which subsequently polarizes macrophages toward an M2-like anti-inflammatory phenotype and thus possibly contributes to immune escape in vivo. This study highlights an important role of an lncRNA in regulating PKM2 activity and also reveals a metabolic regulatory effect of PKM2 on macrophage polarization.
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Affiliation(s)
- Kunming Zhao
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China 150001.,School of Public Health, Qingdao University, Qingdao, China 266071
| | - Xingwen Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China 150001
| | - Dong Zhao
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China 150001
| | - Qingyu Lin
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China 150001
| | - Yi Zhang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China 150001
| | - Ying Hu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China 150001
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An amino acid-defined diet impairs tumour growth in mice by promoting endoplasmic reticulum stress and mTOR inhibition. Mol Metab 2022; 60:101478. [PMID: 35367410 PMCID: PMC9014392 DOI: 10.1016/j.molmet.2022.101478] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 03/10/2022] [Accepted: 03/17/2022] [Indexed: 12/17/2022] Open
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Reprogramming hormone sensitive prostate cancer to a lethal neuroendocrine cancer lineage by mitochondrial pyruvate carrier (MPC). Mol Metab 2022; 59:101466. [PMID: 35219875 PMCID: PMC8933846 DOI: 10.1016/j.molmet.2022.101466] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/15/2022] [Accepted: 02/20/2022] [Indexed: 11/21/2022] Open
Abstract
Cell lineage reprogramming is the main approach for cancer cells to acquire drug resistance and escape targeted therapy. The use of potent targeted therapies in cancers has led to the development of highly aggressive carcinoma, including neuroendocrine prostate cancer (NEPC). Although metabolic reprogramming has been reported to be essential for tumor growth and energy production, the relationship between metabolic reprogramming and lineage differentiation which can cause hormone therapy resistance has never been reported in prostate cancer (PCa). Moreover, as there is still no efficient therapy for NEPC, it is urgent to reverse this lineage differentiation during the hormone therapy. Here for the first time, we used in vitro and in vivo human PCa models to study the effect of metabolic reprogramming on the lineage differentiation from the androgen receptor (AR)–dependent adenocarcinoma to AR-independent NEPC. This lineage differentiation leads to antiandrogen drug resistance and tumor development. This phenotype is enabled by the loss of mitochondrial pyruvate carrier (MPC), the gate for mitochondrial pyruvate influx, and can be reversed by MPC overexpression. Morphologic and cellular studies also demonstrate that the pyruvate kinase M2 (PKM2) involved epithelium–mesenchymal transition process mediated this lineage alteration. Its inhibition is a potential treatment for MPC-lo tumors. All of these results suggest that metabolic rewiring can act as a starter for increased cellular plasticity which leads to antiandrogen therapy resistance through lineage differentiation. This study provides us with a potent treatment target for therapy-induced, enzalutamide-resistant NE-like prostate cancer. Metabolic rewiring induced by mitochondrial pyruvate carrier (MPC) loss can act as a starter for increased cellular lineage plasticity from adenocarcinoma into neuroendocrine prostate cancer (NEPC). An M2-pyruvate kinase (PKM2) involved epithelium–mesenchymal transition (EMT) process mediated this lineage switch from the androgen receptor (AR)–dependent adenocarcinoma to AR-independent neuroendocrine prostate cancer (NEPC); this process is induced by the decrease of mitochondria pyruvate influx. Mitochondria pyruvate influx can be a potential target for the NEPC treatment.
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Alderweireldt E, Grootaert C, De Wever O, Van Camp J. A two-front nutritional environment fuels colorectal cancer: perspectives for dietary intervention. Trends Endocrinol Metab 2022; 33:105-119. [PMID: 34887164 DOI: 10.1016/j.tem.2021.11.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 10/31/2021] [Accepted: 11/01/2021] [Indexed: 02/07/2023]
Abstract
Colorectal cancer (CRC) develops and progresses in a nutritional environment comprising a continuously changing luminal cocktail of external dietary and microbial factors on the apical side, and a dynamic host-related pool of systemic factors on the serosal side. In this review, we highlight how this two-front environment influences the bioenergetic status of colonocytes throughout CRC development from (cancer) stem cells to cancer cells in nutrient-rich and nutrient-poor conditions, and eventually to metastatic cells, which, upon entry to the circulation and during metastatic seeding, are forced to metabolically adapt. Furthermore, given the influence of diet on the two-front nutritional environment, we discuss dietary strategies that target the specific metabolic preferences of these cells, with a possible impact on colon cancer cell bioenergetics and CRC outcome.
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Affiliation(s)
- Elien Alderweireldt
- Laboratory of Food Chemistry and Human Nutrition, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Charlotte Grootaert
- Laboratory of Food Chemistry and Human Nutrition, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium
| | - Olivier De Wever
- Laboratory of Experimental Cancer Research, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| | - John Van Camp
- Laboratory of Food Chemistry and Human Nutrition, Faculty of Bioscience Engineering, Ghent University, Ghent, Belgium.
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Stine ZE, Schug ZT, Salvino JM, Dang CV. Targeting cancer metabolism in the era of precision oncology. Nat Rev Drug Discov 2021; 21:141-162. [PMID: 34862480 PMCID: PMC8641543 DOI: 10.1038/s41573-021-00339-6] [Citation(s) in RCA: 638] [Impact Index Per Article: 159.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/08/2021] [Indexed: 12/23/2022]
Abstract
One hundred years have passed since Warburg discovered alterations in cancer metabolism, more than 70 years since Sidney Farber introduced anti-folates that transformed the treatment of childhood leukaemia, and 20 years since metabolism was linked to oncogenes. However, progress in targeting cancer metabolism therapeutically in the past decade has been limited. Only a few metabolism-based drugs for cancer have been successfully developed, some of which are in - or en route to - clinical trials. Strategies for targeting the intrinsic metabolism of cancer cells often did not account for the metabolism of non-cancer stromal and immune cells, which have pivotal roles in tumour progression and maintenance. By considering immune cell metabolism and the clinical manifestations of inborn errors of metabolism, it may be possible to isolate undesirable off-tumour, on-target effects of metabolic drugs during their development. Hence, the conceptual framework for drug design must consider the metabolic vulnerabilities of non-cancer cells in the tumour immune microenvironment, as well as those of cancer cells. In this Review, we cover the recent developments, notable milestones and setbacks in targeting cancer metabolism, and discuss the way forward for the field.
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Affiliation(s)
| | | | | | - Chi V Dang
- The Wistar Institute Philadelphia, Philadelphia, PA, USA. .,Ludwig Institute for Cancer Research New York, New York, NY, USA.
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Duarte IF, Caio J, Moedas MF, Rodrigues LA, Leandro AP, Rivera IA, Silva MFB. Dihydrolipoamide dehydrogenase, pyruvate oxidation, and acetylation-dependent mechanisms intersecting drug iatrogenesis. Cell Mol Life Sci 2021; 78:7451-7468. [PMID: 34718827 PMCID: PMC11072406 DOI: 10.1007/s00018-021-03996-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Revised: 09/27/2021] [Accepted: 10/15/2021] [Indexed: 10/19/2022]
Abstract
In human metabolism, pyruvate dehydrogenase complex (PDC) is one of the most intricate and large multimeric protein systems representing a central hub for cellular homeostasis. The worldwide used antiepileptic drug valproic acid (VPA) may potentially induce teratogenicity or a mild to severe hepatic toxicity, where the underlying mechanisms are not completely understood. This work aims to clarify the mechanisms that intersect VPA-related iatrogenic effects to PDC-associated dihydrolipoamide dehydrogenase (DLD; E3) activity. DLD is also a key enzyme of α-ketoglutarate dehydrogenase, branched-chain α-keto acid dehydrogenase, α-ketoadipate dehydrogenase, and the glycine decarboxylase complexes. The molecular effects of VPA will be reviewed underlining the data that sustain a potential interaction with DLD. The drug-associated effects on lipoic acid-related complexes activity may induce alterations on the flux of metabolites through tricarboxylic acid cycle, branched-chain amino acid oxidation, glycine metabolism and other cellular acetyl-CoA-connected reactions. The biotransformation of VPA involves its complete β-oxidation in mitochondria causing an imbalance on energy homeostasis. The drug consequences as histone deacetylase inhibitor and thus gene expression modulator have also been recognized. The mitochondrial localization of PDC is unequivocal, but its presence and function in the nucleus were also demonstrated, generating acetyl-CoA, crucial for histone acetylation. Bridging metabolism and epigenetics, this review gathers the evidence of VPA-induced interference with DLD or PDC functions, mainly in animal and cellular models, and highlights the uncharted in human. The consequences of this interaction may have significant impact either in mitochondrial or in nuclear acetyl-CoA-dependent processes.
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Affiliation(s)
- I F Duarte
- The Research Institute for Medicines (iMed.ULisboa), Metabolism and Genetics Group, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
| | - J Caio
- The Research Institute for Medicines (iMed.ULisboa), Metabolism and Genetics Group, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
| | - M F Moedas
- The Research Institute for Medicines (iMed.ULisboa), Metabolism and Genetics Group, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
- Division of Molecular Metabolism, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - L A Rodrigues
- The Research Institute for Medicines (iMed.ULisboa), Metabolism and Genetics Group, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
| | - A P Leandro
- The Research Institute for Medicines (iMed.ULisboa), Metabolism and Genetics Group, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
- Department of Biochemistry and Human Biology, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
| | - I A Rivera
- The Research Institute for Medicines (iMed.ULisboa), Metabolism and Genetics Group, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
- Department of Biochemistry and Human Biology, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal
| | - M F B Silva
- The Research Institute for Medicines (iMed.ULisboa), Metabolism and Genetics Group, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal.
- Department of Biochemistry and Human Biology, Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003, Lisboa, Portugal.
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Duraj T, Carrión-Navarro J, Seyfried TN, García-Romero N, Ayuso-Sacido A. Metabolic therapy and bioenergetic analysis: The missing piece of the puzzle. Mol Metab 2021; 54:101389. [PMID: 34749013 PMCID: PMC8637646 DOI: 10.1016/j.molmet.2021.101389] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 10/29/2021] [Accepted: 11/01/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Aberrant metabolism is recognized as a hallmark of cancer, a pillar necessary for cellular proliferation. Regarding bioenergetics (ATP generation), most cancers display a preference not only toward aerobic glycolysis ("Warburg effect") and glutaminolysis (mitochondrial substrate level-phosphorylation) but also toward other metabolites such as lactate, pyruvate, and fat-derived sources. These secondary metabolites can assist in proliferation but cannot fully cover ATP demands. SCOPE OF REVIEW The concept of a static metabolic profile is challenged by instances of heterogeneity and flexibility to meet fuel/anaplerotic demands. Although metabolic therapies are a promising tool to improve therapeutic outcomes, either via pharmacological targets or press-pulse interventions, metabolic plasticity is rarely considered. Lack of bioenergetic analysis in vitro and patient-derived models is hindering translational potential. Here, we review the bioenergetics of cancer and propose a simple analysis of major metabolic pathways, encompassing both affordable and advanced techniques. A comprehensive compendium of Seahorse XF bioenergetic measurements is presented for the first time. MAJOR CONCLUSIONS Standardization of principal readouts might help researchers to collect a complete metabolic picture of cancer using the most appropriate methods depending on the sample of interest.
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Affiliation(s)
- Tomás Duraj
- Faculty of Medicine, Institute for Applied Molecular Medicine (IMMA), CEU San Pablo University, 28668, Madrid, Spain.
| | - Josefa Carrión-Navarro
- Faculty of Experimental Sciences, Universidad Francisco de Vitoria, 28223, Madrid, Spain; Brain Tumor Laboratory, Fundación Vithas, Grupo Hospitales Vithas, 28043, Madrid, Spain.
| | - Thomas N Seyfried
- Biology Department, Boston College, 140 Commonwealth Ave, Chestnut Hill, MA, 02467, USA.
| | - Noemí García-Romero
- Faculty of Experimental Sciences, Universidad Francisco de Vitoria, 28223, Madrid, Spain; Brain Tumor Laboratory, Fundación Vithas, Grupo Hospitales Vithas, 28043, Madrid, Spain.
| | - Angel Ayuso-Sacido
- Faculty of Experimental Sciences, Universidad Francisco de Vitoria, 28223, Madrid, Spain; Brain Tumor Laboratory, Fundación Vithas, Grupo Hospitales Vithas, 28043, Madrid, Spain; Faculty of Medicine, Universidad Francisco de Vitoria, 28223, Madrid, Spain.
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Guo L, Li L, Xu Z, Meng F, Guo H, Liu P, Liu P, Tian Y, Xu F, Zhang Z, Zhang S, Huang Y. Metabolic network-based identification of plasma markers for non-small cell lung cancer. Anal Bioanal Chem 2021; 413:7421-7430. [PMID: 34617154 DOI: 10.1007/s00216-021-03699-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 09/01/2021] [Accepted: 09/27/2021] [Indexed: 12/01/2022]
Abstract
Metabolic markers, offering sensitive information on biological dysfunction, play important roles in diagnosing and treating cancers. However, the discovery of effective markers is limited by the lack of well-established metabolite selection approaches. Here, we propose a network-based strategy to uncover the metabolic markers with potential clinical availability for non-small cell lung cancer (NSCLC). First, an integrated mass spectrometry-based untargeted metabolomics was used to profile the plasma samples from 43 NSCLC patients and 43 healthy controls. We found that a series of 39 metabolites were altered significantly. Relying on the human metabolic network assembled from Kyoto Encyclopedia of Genes and Genomes (KEGG) database, we mapped these differential metabolites to the network and constructed an NSCLC-related disease module containing 23 putative metabolic markers. By measuring the PageRank centrality of molecules in this module, we computationally evaluated the network-based importance of the 23 metabolites and demonstrated that the metabolism pathways of aromatic amino acids and long-chain fatty acids provided potential molecular targets of NSCLC (i.e., IL4l1 and ACOT2). Combining network-based ranking and support-vector machine modeling, we further found a panel of eight metabolites (i.e., pyruvate, tryptophan, and palmitic acid) that showed a high capability to differentiate patients from controls (accuracy > 97.7%). In summary, we present a meaningful network method for metabolic marker discovery and have identified eight strong candidate metabolites for NSCLC diagnosis.
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Affiliation(s)
- Linling Guo
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing, 210009, Jaingsu, China
| | - Linrui Li
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing, 210009, Jaingsu, China
| | - Zhiyun Xu
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital of Jiangsu Province, Nanjing, 210009, Jiangsu, China
| | - Fanchen Meng
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital of Jiangsu Province, Nanjing, 210009, Jiangsu, China
| | - Huimin Guo
- Center for Biological Technology, Anhui Agricultural University, Hefei, 230036, Anhui, China
| | - Peijia Liu
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China
| | - Peifang Liu
- Department of Neurology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, Heilongjiang, China
| | - Yuan Tian
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing, 210009, Jaingsu, China
| | - Fengguo Xu
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing, 210009, Jaingsu, China
| | - Zunjian Zhang
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing, 210009, Jaingsu, China
| | - Shuai Zhang
- Department of Thoracic Surgery, Nanjing Medical University Affiliated Cancer Hospital of Jiangsu Province, Nanjing, 210009, Jiangsu, China.
| | - Yin Huang
- Key Laboratory of Drug Quality Control and Pharmacovigilance, China Pharmaceutical University, Ministry of Education, Nanjing, 210009, Jaingsu, China.
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Wilson SM, Maes AP, Yeoman CJ, Walk ST, Miles MP. Determinants of the postprandial triglyceride response to a high-fat meal in healthy overweight and obese adults. Lipids Health Dis 2021; 20:107. [PMID: 34544430 PMCID: PMC8451105 DOI: 10.1186/s12944-021-01543-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Accepted: 09/03/2021] [Indexed: 12/21/2022] Open
Abstract
Background Dyslipidemia is a feature of impaired metabolic health in conjunction with impaired glucose metabolism and central obesity. However, the contribution of factors to postprandial lipemia in healthy but metabolically at-risk adults is not well understood. We investigated the collective contribution of several physiologic and lifestyle factors to postprandial triglyceride (TG) response to a high-fat meal in healthy, overweight and obese adults. Methods Overweight and obese adults (n = 35) underwent a high-fat meal challenge with blood sampled at fasting and hourly in the 4-hour postprandial period after a breakfast containing 50 g fat. Incremental area under the curve (iAUC) and postprandial magnitude for TG were calculated and data analyzed using a linear model with physiologic and lifestyle characteristics as explanatory variables. Model reduction was used to assess which explanatory variables contributed most to the postprandial TG response. Results TG responses to a high-fat meal were variable between individuals, with approximately 57 % of participants exceeded the nonfasting threshold for hypertriglyceridemia. Visceral adiposity was the strongest predictor of TG iAUC (β = 0.53, p = 0.01), followed by aerobic exercise frequency (β = 0.31, p = 0.05), insulin resistance based on HOMA-IR (β = 0.30, p = 0.04), and relative exercise intensity at which substrate utilization crossover occurred (β = 0.05, p = 0.04). For postprandial TG magnitude, visceral adiposity was a strong predictor (β = 0.43, p < 0.001) followed by aerobic exercise frequency (β = 0.23, p = 0.01), and exercise intensity for substrate utilization crossover (β = 0.53, p = 0.01). Conclusions Postprandial TG responses to a high-fat meal was partially explained by several physiologic and lifestyle characteristics, including visceral adiposity, insulin resistance, aerobic exercise frequency, and relative substrate utilization crossover during exercise. Trial Registration ClinicalTrials.gov, NCT04128839, Registered 16 October 2019 – Retrospectively registered. Supplementary Information The online version contains supplementary material available at 10.1186/s12944-021-01543-4.
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Affiliation(s)
- Stephanie M Wilson
- Department of Health and Human Development, Montana State University, Box 173540, 20 Herrick Hall, MT, 59717, Bozeman, USA
| | - Adam P Maes
- School of Public and Community Health Sciences, University of Montana, Missoula, USA
| | - Carl J Yeoman
- Department of Animal and Range Sciences, Montana State University, Bozeman, USA
| | - Seth T Walk
- Department of Microbiology and Cell Biology, Montana State University, Bozeman, USA
| | - Mary P Miles
- Department of Health and Human Development, Montana State University, Box 173540, 20 Herrick Hall, MT, 59717, Bozeman, USA.
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Li Q, Li C, Elnwasany A, Sharma G, An YA, Zhang G, Elhelaly WM, Lin J, Gong Y, Chen G, Wang M, Zhao S, Dai C, Smart CD, Liu J, Luo X, Deng Y, Tan L, Lv SJ, Davidson SM, Locasale JW, Lorenzi PL, Malloy CR, Gillette TG, Vander Heiden MG, Scherer PE, Szweda LI, Fu G, Wang ZV. PKM1 Exerts Critical Roles in Cardiac Remodeling Under Pressure Overload in the Heart. Circulation 2021; 144:712-727. [PMID: 34102853 PMCID: PMC8405569 DOI: 10.1161/circulationaha.121.054885] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND Metabolic remodeling precedes most alterations during cardiac hypertrophic growth under hemodynamic stress. The elevation of glucose utilization has been recognized as a hallmark of metabolic remodeling. However, its role in cardiac hypertrophic growth and heart failure in response to pressure overload remains to be fully illustrated. Here, we aimed to dissect the role of cardiac PKM1 (pyruvate kinase muscle isozyme 1) in glucose metabolic regulation and cardiac response under pressure overload. METHODS Cardiac-specific deletion of PKM1 was achieved by crossing the floxed PKM1 mouse model with the cardiomyocyte-specific Cre transgenic mouse. PKM1 transgenic mice were generated under the control of tetracycline response elements, and cardiac-specific overexpression of PKM1 was induced by doxycycline administration in adult mice. Pressure overload was triggered by transverse aortic constriction. Primary neonatal rat ventricular myocytes were used to dissect molecular mechanisms. Moreover, metabolomics and nuclear magnetic resonance spectroscopy analyses were conducted to determine cardiac metabolic flux in response to pressure overload. RESULTS We found that PKM1 expression is reduced in failing human and mouse hearts. It is important to note that cardiomyocyte-specific deletion of PKM1 exacerbates cardiac dysfunction and fibrosis in response to pressure overload. Inducible overexpression of PKM1 in cardiomyocytes protects the heart against transverse aortic constriction-induced cardiomyopathy and heart failure. At the mechanistic level, PKM1 is required for the augmentation of glycolytic flux, mitochondrial respiration, and ATP production under pressure overload. Furthermore, deficiency of PKM1 causes a defect in cardiomyocyte growth and a decrease in pyruvate dehydrogenase complex activity at both in vitro and in vivo levels. CONCLUSIONS These findings suggest that PKM1 plays an essential role in maintaining a homeostatic response in the heart under hemodynamic stress.
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Affiliation(s)
- Qinfeng Li
- Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Chao Li
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Abdallah Elnwasany
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Gaurav Sharma
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Yu A. An
- Touchstone Diabetes Center, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Guangyu Zhang
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Waleed M. Elhelaly
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Jun Lin
- Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Yingchao Gong
- Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Guihao Chen
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Meihui Wang
- Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Shangang Zhao
- Touchstone Diabetes Center, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Chongshan Dai
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Charles D. Smart
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Juan Liu
- Department of Pharmacology & Cancer Biology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Xiang Luo
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Yingfeng Deng
- Touchstone Diabetes Center, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Lin Tan
- Metabolomics Core Facility, Department of Bioinformatics & Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Shuang-Jie Lv
- State Key Laboratory of Medical Molecular Biology, Department of Biochemistry and Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Shawn M. Davidson
- Koch Institute for Integrative Cancer Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Jason W. Locasale
- Department of Pharmacology & Cancer Biology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Philip L. Lorenzi
- Metabolomics Core Facility, Department of Bioinformatics & Computational Biology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Craig R. Malloy
- Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
- Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Thomas G. Gillette
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Matthew G. Vander Heiden
- Koch Institute for Integrative Cancer Research and Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Philipp E. Scherer
- Touchstone Diabetes Center, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Luke I. Szweda
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Guosheng Fu
- Department of Cardiology, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
- Key Laboratory of Cardiovascular Intervention and Regenerative Medicine of Zhejiang Province, Hangzhou, Zhejiang, China
| | - Zhao V. Wang
- Division of Cardiology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA
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Inoue J, Kishikawa M, Tsuda H, Nakajima Y, Asakage T, Inazawa J. Identification of PDHX as a metabolic target for esophageal squamous cell carcinoma. Cancer Sci 2021; 112:2792-2802. [PMID: 33964039 PMCID: PMC8253269 DOI: 10.1111/cas.14938] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 04/27/2021] [Accepted: 04/28/2021] [Indexed: 12/13/2022] Open
Abstract
The metabolism in tumors is reprogrammed to meet its energetic and substrate demands. However, this metabolic reprogramming creates metabolic vulnerabilities, providing new opportunities for cancer therapy. Metabolic vulnerability as a therapeutic target in esophageal squamous cell carcinoma (ESCC) has not been adequately clarified. Here, we identified pyruvate dehydrogenase (PDH) component X (PDHX) as a metabolically essential gene for the cell growth of ESCC. PDHX expression was required for the maintenance of PDH activity and the production of ATP, and its knockdown inhibited the proliferation of cancer stem cells (CSCs) and in vivo tumor growth. PDHX was concurrently upregulated with the CD44 gene, a marker of CSCs, by co-amplification at 11p13 in ESCC tumors and these genes coordinately functioned in cancer stemness. Furthermore, CPI-613, a PDH inhibitor, inhibited the proliferation of CSCs in vitro and the growth of ESCC xenograft tumors in vivo. Thus, our study provides new insights related to the development of novel therapeutic strategies for ESCC by targeting the PDH complex-associated metabolic vulnerability.
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Affiliation(s)
- Jun Inoue
- Department of Molecular Cytogenetics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
| | - Masahiro Kishikawa
- Department of Molecular Cytogenetics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.,Department of Head and Neck Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Hitoshi Tsuda
- Department of Basic Pathology, National Defense Medical College, Saitama, Japan
| | - Yasuaki Nakajima
- Department of Surgical Gastroenterology, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan
| | - Takahiro Asakage
- Department of Head and Neck Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Johji Inazawa
- Department of Molecular Cytogenetics, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan.,Bioresource Research Center, Tokyo Medical and Dental University, Tokyo, Japan
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50
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Reiter RJ, Sharma R, Rodriguez C, Martin V, Rosales-Corral S, Zuccari DAPDC, Chuffa LGDA. Part-time cancers and role of melatonin in determining their metabolic phenotype. Life Sci 2021; 278:119597. [PMID: 33974932 DOI: 10.1016/j.lfs.2021.119597] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/26/2021] [Accepted: 05/03/2021] [Indexed: 12/14/2022]
Abstract
This brief review describes the association of the endogenous pineal melatonin rhythm with the metabolic flux of solid tumors, particularly breast cancer. It also summarizes new information on the potential mechanisms by which endogenously-produced or exogenously-administered melatonin impacts the metabolic phenotype of cancer cells. The evidence indicates that solid tumors may redirect their metabolic phenotype from the pathological Warburg-type metabolism during the day to the healthier mitochondrial oxidative phosphorylation on a nightly basis. Thus, they function as cancer cells only during the day and as healthier cells at night, that is, they are only part-time cancerous. This switch to oxidative phosphorylation at night causes cancer cells to exhibit a reduced tumor phenotype and less likely to rapidly proliferate or to become invasive or metastatic. Also discussed is the likelihood that some solid tumors are especially aggressive during the day and much less so at night due to the nocturnal rise in melatonin which determines their metabolic state. We further propose that when melatonin is used/tested in clinical trials, a specific treatment paradigm be used that is consistent with the temporal metabolic changes in tumor metabolism. Finally, it seems likely that the concurrent use of melatonin in combination with conventional chemotherapies also would improve cancer treatment outcomes.
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Affiliation(s)
- Russel J Reiter
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX 78229, USA.
| | - Ramaswamy Sharma
- Department of Cell Systems and Anatomy, UT Health San Antonio, San Antonio, TX 78229, USA
| | - Carmen Rodriguez
- Departamento de Morfologia y Biologia Celular, Facultad de Medicina, Oviedo, 33006, Spain
| | - Vanesa Martin
- Departamento de Morfologia y Biologia Celular, Facultad de Medicina, Oviedo, 33006, Spain
| | - Sergio Rosales-Corral
- Centro de Investigacion Biomedica de Occidente, Instituto Mexicano del Seguro Social, Guadalajara CP 45150, Mexico
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