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Fujii J, Imai H. Oxidative Metabolism as a Cause of Lipid Peroxidation in the Execution of Ferroptosis. Int J Mol Sci 2024; 25:7544. [PMID: 39062787 DOI: 10.3390/ijms25147544] [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: 06/28/2024] [Revised: 07/07/2024] [Accepted: 07/08/2024] [Indexed: 07/28/2024] Open
Abstract
Ferroptosis is a type of nonapoptotic cell death that is characteristically caused by phospholipid peroxidation promoted by radical reactions involving iron. Researchers have identified many of the protein factors that are encoded by genes that promote ferroptosis. Glutathione peroxidase 4 (GPX4) is a key enzyme that protects phospholipids from peroxidation and suppresses ferroptosis in a glutathione-dependent manner. Thus, the dysregulation of genes involved in cysteine and/or glutathione metabolism is closely associated with ferroptosis. From the perspective of cell dynamics, actively proliferating cells are more prone to ferroptosis than quiescent cells, which suggests that radical species generated during oxygen-involved metabolism are responsible for lipid peroxidation. Herein, we discuss the initial events involved in ferroptosis that dominantly occur in the process of energy metabolism, in association with cysteine deficiency. Accordingly, dysregulation of the tricarboxylic acid cycle coupled with the respiratory chain in mitochondria are the main subjects here, and this suggests that mitochondria are the likely source of both radical electrons and free iron. Since not only carbohydrates, but also amino acids, especially glutamate, are major substrates for central metabolism, dealing with nitrogen derived from amino groups also contributes to lipid peroxidation and is a subject of this discussion.
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Affiliation(s)
- Junichi Fujii
- Department of Biochemistry and Molecular Biology, Graduate School of Medical Science, Yamagata University, Yamagata 990-9585, Japan
| | - Hirotaka Imai
- Laboratory of Hygienic Chemistry, School of Pharmaceutical Sciences, Kitasato University, Tokyo 108-8641, Japan
- Medical Research Laboratories, School of Pharmaceutical Sciences, Kitasato University, Tokyo 108-8641, Japan
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Zheng Y, Yang W, Wu W, Jin F, Lu D, Gao J, Wang S. Diagnostic and predictive significance of the ferroptosis-related gene TXNIP in lung adenocarcinoma stem cells based on multi-omics. Transl Oncol 2024; 45:101926. [PMID: 38615437 PMCID: PMC11033204 DOI: 10.1016/j.tranon.2024.101926] [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: 12/06/2023] [Revised: 02/19/2024] [Accepted: 02/28/2024] [Indexed: 04/16/2024] Open
Abstract
BACKGROUND Lung cancer stands as the foremost cause of cancer-related fatalities globally. The presence of cancer stem cells (CSCs) poses a challenge, rendering current targeted tumor therapies ineffective. This study endeavors to investigate a novel therapeutic approach focusing on ferroptosis and delves into the expression of ferroptosis-related genes within lung CSCs. METHODS We systematically examined RNA-seq datasets derived from lung tumor cells (LTCs) and lung cancer stem cells (LSCs), as previously investigated in our research. Our focus was on analyzing differentially expressed genes (DEGs) related to ferroptosis. Utilizing the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO), we conducted functional analysis of these ferroptosis-related DEGs. Additionally, we employed protein‒protein interaction networks to identify hub genes. LC‒MS/MS analysis of LTCs and LSCs was conducted to pinpoint the crucial ferroptosis-related gene-thioredoxin-interacting protein (TXNIP).Further, we delved into the immune cell infiltration landscape of LTCs and LSCs, examining the correlation between TXNIP and lung adenocarcinoma (LUAD) using data from The Cancer Genome Atlas (TCGA) database. To complement these findings, we measured the expression levels of TXNIP, glutathione peroxidase 4(GPX4), nuclear receptor coactivator 4 (NCOA4) in LUAD tissues through immunohistochemistry (IHC) staining. RESULTS A total of 651 DEGs were identified, with 17 of them being ferroptosis-related DEGs. These seventeen genes were categorized into four groups: driver genes, suppressor genes, unclassified genes, and inducer genes. Enrichment analysis revealed significant associations with oxidative stress, cell differentiation, tissue development, and cell death processes. The RNA-seq analysis demonstrated consistent gene expression patterns with protein expression, as evidenced by mass spectrometry analysis. Among the identified genes, SFN and TXNIP were singled out as hub genes, with TXNIP showing particularly noteworthy expression. The expression of the ferroptosis-related gene TXNIP exhibited correlations with the presence of an immunosuppressive microenvironment, TNM stages, and the degree of histological differentiation.Also, the ferroptosis-markers GPX4 and NCOA4 displayed correlations with LUAD. This comprehensive analysis underscores the significance of TXNIP in the context of ferroptosis-related processes and their potential implications in cancer development and progression. CONCLUSION The investigation conducted in this study systematically delved into the role of the ferroptosis-related gene TXNIP in Lung CSCs. The identification of TXNIP as a potentially valuable biomarker in this context could have significant implications for refining prognostic assessments and optimizing therapeutic strategies for advanced lung cancer.
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Affiliation(s)
- Yuanyuan Zheng
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen Peking University-Hong Kong University of Science & Technology Medical Center, Shenzhen 518036, China.
| | - Wei Yang
- GeneMind Biosciences Company Limited, Shenzhen 518000, China
| | - Weixuan Wu
- Department of General Practice, The Second Clinical Medical College (Shenzhen People's Hospital),Jinan University, Shenzhen 518020, China
| | - Feng Jin
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen Peking University-Hong Kong University of Science & Technology Medical Center, Shenzhen 518036, China
| | - Dehua Lu
- Department of Radiation Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen Peking University-Hong Kong University of Science & Technology Medical Center, Shenzhen 518036, China
| | - Jing Gao
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen Peking University-Hong Kong University of Science & Technology Medical Center, Shenzhen 518036, China.
| | - Shubin Wang
- Department of Oncology, Shenzhen Key Laboratory of Gastrointestinal Cancer Translational Research, Cancer Institute, Peking University Shenzhen Hospital, Shenzhen Peking University-Hong Kong University of Science & Technology Medical Center, Shenzhen 518036, China.
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Zhang T, Zeng X, Zeng E, Wang H. Ferroptosis in antitumor therapy: Unraveling regulatory mechanisms and immunogenic potential. Int Immunopharmacol 2024; 134:112203. [PMID: 38705030 DOI: 10.1016/j.intimp.2024.112203] [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: 02/12/2024] [Revised: 04/17/2024] [Accepted: 05/01/2024] [Indexed: 05/07/2024]
Abstract
Ferroptosis, a recently discovered form of non-apoptotic cell death, has the potential to revolutionize anti-tumor therapy. This review highlights the regulatory mechanisms and immunogenic properties of ferroptosis, and how it can enhance the effectiveness of radio and immunotherapies in overcoming tumor resistance. However, tumor metabolism and the impact of ferroptosis on the tumor microenvironment present challenges in completely realizing its therapeutic potential. A deeper understanding of the effects of ferroptosis on tumor cells and their associated immune cells is essential for developing more effective tumor treatment strategies. This review offers a comprehensive overview of the relationship between ferroptosis and tumor immunity, and sheds new light on its application in tumor immunotherapy.
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Affiliation(s)
- Ting Zhang
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China; First Clinical Medical College, Nanchang University, Nanchang 330006, Jiangxi Province, China
| | - Xiaoping Zeng
- Medical College, Jinhua Polytechnic, Jinhua 321017, Zhejiang Province, China; School of Basic Medical Sciences, Nanchang University, Nanchang 330006, Jiangxi Province, China
| | - Erming Zeng
- Department of Neurosurgery, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China.
| | - Hongmei Wang
- Medical College, Jinhua Polytechnic, Jinhua 321017, Zhejiang Province, China; School of Basic Medical Sciences, Nanchang University, Nanchang 330006, Jiangxi Province, China.
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Barrett E, Ivey G, Cunningham A, Coffman G, Pemberton T, Lee C, Patra P, Day JB, Lee PHU, Shim JW. Reduced GLP-1R availability in the caudate nucleus with Alzheimer's disease. Front Aging Neurosci 2024; 16:1350239. [PMID: 38915346 PMCID: PMC11194438 DOI: 10.3389/fnagi.2024.1350239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 05/15/2024] [Indexed: 06/26/2024] Open
Abstract
The glucagon-like peptide-1 receptor (GLP-1R) agonists reduce glycated hemoglobin in patients with type 2 diabetes. Mounting evidence indicates that the potential of GLP-1R agonists, mimicking a 30 amino acid ligand, GLP-1, extends to the treatment of neurodegenerative conditions, with a particular focus on Alzheimer's disease (AD). However, the mechanism that underlies regulation of GLP-1R availability in the brain with AD remains poorly understood. Here, using whole transcriptome RNA-Seq of the human postmortem caudate nucleus with AD and chronic hydrocephalus (CH) in the elderly, we found that GLP-1R and select mRNAs expressed in glucose dysmetabolism and dyslipidemia were significantly altered. Furthermore, we detected human RNA indicating a deficiency in doublecortin (DCX) levels and the presence of ferroptosis in the caudate nucleus impacted by AD. Using the genome data viewer, we assessed mutability of GLP-1R and 39 other genes by two factors associated with high mutation rates in chromosomes of four species. Surprisingly, we identified that nucleotide sizes of GLP-1R transcript exceptionally differed in all four species of humans, chimpanzees, rats, and mice by up to 6-fold. Taken together, the protein network database analysis suggests that reduced GLP-1R in the aged human brain is associated with glucose dysmetabolism, ferroptosis, and reduced DCX+ neurons, that may contribute to AD.
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Affiliation(s)
- Emma Barrett
- Department of Biomedical Engineering, Marshall University, Huntington, WV, United States
| | - Gabrielle Ivey
- Department of Biomedical Engineering, Marshall University, Huntington, WV, United States
| | - Adam Cunningham
- Department of Biomedical Engineering, Marshall University, Huntington, WV, United States
| | - Gary Coffman
- Department of Biomedical Engineering, Marshall University, Huntington, WV, United States
| | - Tyera Pemberton
- Department of Biomedical Engineering, Marshall University, Huntington, WV, United States
| | - Chan Lee
- Department of Anesthesia, Indiana University Health Arnett Hospital, Lafayette, IN, United States
| | - Prabir Patra
- Department of Biomedical Engineering, Marshall University, Huntington, WV, United States
| | - James B. Day
- Department of Orthopedic Surgery, Cabell Huntington Hospital and Marshall University School of Medicine, Huntington, WV, United States
| | - Peter H. U. Lee
- Department of Cardiothoracic Surgery, Southcoast Health, Fall River, MA, United States
- Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, United States
| | - Joon W. Shim
- Department of Biomedical Engineering, Marshall University, Huntington, WV, United States
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Azimi P, Yazdanian T, Ahmadiani A. mRNA markers for survival prediction in glioblastoma multiforme patients: a systematic review with bioinformatic analyses. BMC Cancer 2024; 24:612. [PMID: 38773447 PMCID: PMC11106946 DOI: 10.1186/s12885-024-12345-z] [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: 01/14/2024] [Accepted: 05/06/2024] [Indexed: 05/23/2024] Open
Abstract
BACKGROUND Glioblastoma multiforme (GBM) is a type of fast-growing brain glioma associated with a very poor prognosis. This study aims to identify key genes whose expression is associated with the overall survival (OS) in patients with GBM. METHODS A systematic review was performed using PubMed, Scopus, Cochrane, and Web of Science up to Journey 2024. Two researchers independently extracted the data and assessed the study quality according to the New Castle Ottawa scale (NOS). The genes whose expression was found to be associated with survival were identified and considered in a subsequent bioinformatic study. The products of these genes were also analyzed considering protein-protein interaction (PPI) relationship analysis using STRING. Additionally, the most important genes associated with GBM patients' survival were also identified using the Cytoscape 3.9.0 software. For final validation, GEPIA and CGGA (mRNAseq_325 and mRNAseq_693) databases were used to conduct OS analyses. Gene set enrichment analysis was performed with GO Biological Process 2023. RESULTS From an initial search of 4104 articles, 255 studies were included from 24 countries. Studies described 613 unique genes whose mRNAs were significantly associated with OS in GBM patients, of which 107 were described in 2 or more studies. Based on the NOS, 131 studies were of high quality, while 124 were considered as low-quality studies. According to the PPI network, 31 key target genes were identified. Pathway analysis revealed five hub genes (IL6, NOTCH1, TGFB1, EGFR, and KDR). However, in the validation study, only, the FN1 gene was significant in three cohorts. CONCLUSION We successfully identified the most important 31 genes whose products may be considered as potential prognosis biomarkers as well as candidate target genes for innovative therapy of GBM tumors.
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Affiliation(s)
- Parisa Azimi
- Neurosurgeon, Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839- 63113, Iran.
| | | | - Abolhassan Ahmadiani
- Neurosurgeon, Neuroscience Research Center, Shahid Beheshti University of Medical Sciences, Arabi Ave, Daneshjoo Blvd, Velenjak, Tehran, 19839- 63113, Iran.
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Wang L, Gong WH. Predictive model using four ferroptosis-related genes accurately predicts gastric cancer prognosis. World J Gastrointest Oncol 2024; 16:2018-2037. [PMID: 38764813 PMCID: PMC11099433 DOI: 10.4251/wjgo.v16.i5.2018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2023] [Revised: 01/31/2024] [Accepted: 03/08/2024] [Indexed: 05/09/2024] Open
Abstract
BACKGROUND Gastric cancer (GC) is a common malignancy of the digestive system. According to global 2018 cancer data, GC has the fifth-highest incidence and the third-highest fatality rate among malignant tumors. More than 60% of GC are linked to infection with Helicobacter pylori (H. pylori), a gram-negative, active, microaerophilic, and helical bacterium. This parasite induces GC by producing toxic factors, such as cytotoxin-related gene A, vacuolar cytotoxin A, and outer membrane proteins. Ferroptosis, or iron-dependent programmed cell death, has been linked to GC, although there has been little research on the link between H. pylori infection-related GC and ferroptosis. AIM To identify coregulated differentially expressed genes among ferroptosis-related genes (FRGs) in GC patients and develop a ferroptosis-related prognostic model with discrimination ability. METHODS Gene expression profiles of GC patients and those with H. pylori-associated GC were obtained from The Cancer Genome Atlas and Gene Expression Omnibus (GEO) databases. The FRGs were acquired from the FerrDb database. A ferroptosis-related gene prognostic index (FRGPI) was created using least absolute shrinkage and selection operator-Cox regression. The predictive ability of the FRGPI was validated in the GEO cohort. Finally, we verified the expression of the hub genes and the activity of the ferroptosis inducer FIN56 in GC cell lines and tissues. RESULTS Four hub genes were identified (NOX4, MTCH1, GABARAPL2, and SLC2A3) and shown to accurately predict GC and H. pylori-associated GC. The FRGPI based on the hub genes could independently predict GC patient survival; GC patients in the high-risk group had considerably worse overall survival than did those in the low-risk group. The FRGPI was a significant predictor of GC prognosis and was strongly correlated with disease progression. Moreover, the gene expression levels of common immune checkpoint proteins dramatically increased in the high-risk subgroup of the FRGPI cohort. The hub genes were also confirmed to be highly overexpressed in GC cell lines and tissues and were found to be primarily localized at the cell membrane. The ferroptosis inducer FIN56 inhibited GC cell proliferation in a dose-dependent manner. CONCLUSION In this study, we developed a predictive model based on four FRGs that can accurately predict the prognosis of GC patients and the efficacy of immunotherapy in this population.
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Affiliation(s)
- Li Wang
- Department of Emergency, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310000, Zhejiang Province, China
| | - Wei-Hua Gong
- Department of Surgery, The Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou 310052, Zhejiang Province, China
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Frosina G. Advancements in Image-Based Models for High-Grade Gliomas Might Be Accelerated. Cancers (Basel) 2024; 16:1566. [PMID: 38672647 PMCID: PMC11048778 DOI: 10.3390/cancers16081566] [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: 03/05/2024] [Revised: 04/08/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024] Open
Abstract
The first half of 2022 saw the publication of several major research advances in image-based models and artificial intelligence applications to optimize treatment strategies for high-grade gliomas, the deadliest brain tumors. We review them and discuss the barriers that delay their entry into clinical practice; particularly, the small sample size and the heterogeneity of the study designs and methodologies used. We will also write about the poor and late palliation that patients suffering from high-grade glioma can count on at the end of life, as well as the current legislative instruments, with particular reference to Italy. We suggest measures to accelerate the gradual progress in image-based models and end of life care for patients with high-grade glioma.
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Affiliation(s)
- Guido Frosina
- Mutagenesis & Cancer Prevention Unit, IRCCS Ospedale Policlinico San Martino, Largo Rosanna Benzi 10, 16132 Genova, Italy
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Zhang Y, Yang L. Ferroptosis and secondary nephrosis. ZHONG NAN DA XUE XUE BAO. YI XUE BAN = JOURNAL OF CENTRAL SOUTH UNIVERSITY. MEDICAL SCIENCES 2024; 49:377-384. [PMID: 38970511 PMCID: PMC11208398 DOI: 10.11817/j.issn.1672-7347.2024.230377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Indexed: 07/08/2024]
Abstract
Secondary nephrosis is a series of chronic kidney diseases secondary to other underlying diseases, mainly manifesting as structural and functional abnormalities of the kidneys and metabolic disorders. It is one of the important causes of end-stage renal disease, with high morbidity and significant harm. Iron is an essential metal element in human cells, and ferroptosis is a non-traditional form of iron-dependent cell death, and its main mechanisms include iron accumulation, lipid metabolism disorders, abnormal amino acid metabolism, and damage to the antioxidant system. Recently studies have found that ferroptosis is involved in the occurrence and progression of secondary nephrosis, and the mechanism of ferroptosis in different secondary nephrosis vary. Therefore, an in-depth and systematic understanding of the association between ferroptosis and secondary nephrosis, as well as their specific regulatory mechanisms, can provide a theoretical basis for the diagnosis, prevention, treatment, and prognosis assessment of secondary nephrosis, laying the foundation for exploring new clinical therapeutic targets for secondary nephrosis.
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Affiliation(s)
- Yuhan Zhang
- Department of Nutrition and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410013, China.
| | - Lina Yang
- Department of Nutrition and Food Hygiene, Xiangya School of Public Health, Central South University, Changsha 410013, China.
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Wang Q, Liu W, Zhou H, Lai W, Hu C, Dai Y, Li G, Zhang R, Zhao Y. Tozasertib activates anti-tumor immunity through decreasing regulatory T cells in melanoma. Neoplasia 2024; 48:100966. [PMID: 38237304 PMCID: PMC10828585 DOI: 10.1016/j.neo.2024.100966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/30/2023] [Accepted: 01/02/2024] [Indexed: 02/03/2024]
Abstract
Although immune checkpoint therapy has significantly improved the prognosis of patients with melanoma, urgent attention still needs to be paid to the low patient response rates and the challenges of precisely identifying patients before treatment. Therefore, it is crucial to investigate novel immunosuppressive mechanisms and targets in the tumor microenvironment in order to reverse tumor immune escape. In this study, we found that the cell cycle checkpoint Aurora kinase B (AURKB) suppressed the anti-tumor immune response, and its inhibitor, Tozasertib, effectively activated T lymphocyte cytokine release in vitro and anti-tumor immunity in vivo. Tozasertib significantly inhibited melanoma xenograft tumor growth by decreasing the number of inhibitory CD4+ Treg cells in the tumors, which, in turn, activated CD8+ T cells. Single-cell analysis revealed that AURKB suppressed anti-tumor immunity by increasing MIF-CD74/CXCR4 signaling between tumor cells and lymphocytes. Our study suggests that AURKB is a newly identified anti-tumor immunity suppressor, whose inhibitors may be developed as novel anti-tumor immunity drugs and may have synergistic anti-melanoma effects with immune checkpoint therapies.
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Affiliation(s)
- Qiaoling Wang
- Department of Pharmacy, University Town Hospital Affiliated of Chongqing Medical University, Chongqing, China
| | - Wuyi Liu
- Department of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China
| | - Huyue Zhou
- Department of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China
| | - Wenjing Lai
- Department of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China
| | - Changpeng Hu
- Department of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China
| | - Yue Dai
- Department of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China
| | - Guobing Li
- Department of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China
| | - Rong Zhang
- Department of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
| | - Yu Zhao
- Department of Pharmacy, University Town Hospital Affiliated of Chongqing Medical University, Chongqing, China.
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Zuo HL, Huang HY, Lin YCD, Liu KM, Lin TS, Wang YB, Huang HD. Effects of Natural Products on Enzymes Involved in Ferroptosis: Regulation and Implications. Molecules 2023; 28:7929. [PMID: 38067658 PMCID: PMC10708253 DOI: 10.3390/molecules28237929] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 11/18/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
Ferroptosis is a form of regulated cell death that is characterized by the accumulation of iron-dependent lipid peroxides. The regulation of ferroptosis involves both non-enzymatic reactions and enzymatic mechanisms. Natural products have demonstrated potential effects on various enzymes, including GPX4, HO-1, NQO1, NOX4, GCLC, and GCLM, which are mainly involved in glutathione metabolic pathway or oxidative stress regulation, and ACSL3 and ACSL4, which mainly participate in lipid metabolism, thereby influencing the regulation of ferroptosis. In this review, we have provided a comprehensive overview of the existing literature pertaining to the effects of natural products on enzymes involved in ferroptosis and discussed their potential implications for the prevention and treatment of ferroptosis-related diseases. We also highlight the potential challenge that the majority of research has concentrated on investigating the impact of natural products on the expression of enzymes involving ferroptosis while limited attention is given to the regulation of enzyme activity. This observation underscores the considerable potential and scope for exploring the influence of natural products on enzyme activity.
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Affiliation(s)
- Hua-Li Zuo
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; (H.-Y.H.); (Y.-C.-D.L.); (T.-S.L.); (Y.-B.W.)
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
| | - Hsi-Yuan Huang
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; (H.-Y.H.); (Y.-C.-D.L.); (T.-S.L.); (Y.-B.W.)
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
| | - Yang-Chi-Dung Lin
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; (H.-Y.H.); (Y.-C.-D.L.); (T.-S.L.); (Y.-B.W.)
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
| | - Kun-Meng Liu
- Center for Medical Artificial Intelligence, Qingdao Academy of Chinese Medical Sciences, Shandong University of Traditional Chinese Medicine, Qingdao 266112, China;
| | - Ting-Syuan Lin
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; (H.-Y.H.); (Y.-C.-D.L.); (T.-S.L.); (Y.-B.W.)
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
| | - Yi-Bing Wang
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; (H.-Y.H.); (Y.-C.-D.L.); (T.-S.L.); (Y.-B.W.)
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
| | - Hsien-Da Huang
- School of Medicine, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China; (H.-Y.H.); (Y.-C.-D.L.); (T.-S.L.); (Y.-B.W.)
- Warshel Institute for Computational Biology, The Chinese University of Hong Kong, Shenzhen, Shenzhen 518172, China
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