1
|
Wang Y, Zhao N, Yang D, Zhao J, Di T, Meng Y, Li L, Chen J, Zhu H, Zhang X, Ma H, Qu B, Ma Y, Li P, Wang Y. Metabolic reprogramming and AMPK activation: Key players in the therapeutic effects of Cooling Blood and Detoxicating Formular on psoriasis. JOURNAL OF ETHNOPHARMACOLOGY 2025; 337:118825. [PMID: 39278294 DOI: 10.1016/j.jep.2024.118825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 09/10/2024] [Accepted: 09/11/2024] [Indexed: 09/18/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Cooling Blood and Detoxicating Formular (CBDF) based on the theory of cooling blood and dosing detoxification, is a useful traditional Chinese medicine (TCM) medication for psoriasis with blood-heat syndrome. AIM OF THE STUDY Investigate the active constituents and mechanisms of the CBDF for the treatment of psoriasis. MATERIALS AND METHODS UPLC-Q-Orbitrap-HRMS technique was used to analyse the ingredients of CBDF absorbed into plasma and skin tissue. The therapeutic efficacy of CBDF was evaluated in treating an imiquimod (IMQ)-induced mouse model was assessed. Transcriptome analysis and gene enrichment analysis were used to explore the changes in gene expression and pathways following treatment with the CBDF. Validation was performed using western blotting, quantitative RT-PCR, flow cytometry, gene knockout and molecular docking in vitro and in vivo. RESULTS 26 compounds were identified in the plasma of IMQ-induced psoriasis-like mouse with CBDF treatment, and higher levels of cimifugin in the lesion. CBDF improved the pathological changes of psoriasis, with inhibition of TNF-α, IL-23, and IL-17A and upregulation of IL-10. Gene enrichment analysis showed that the therapeutic effect of CBDF was related to AMPK pathway. In psoriasis lesions, the AMPK and fatty acid oxidation were suppressed, and glycolysis was enhanced. The Prkaa2, encoding AMPKα2 was down-regulated in psoriasis patients. CBDF inhibited glycolysis while stimulating fatty acid oxidation by the activating AMPK, thereby exerting an inhibitory effect on inflammation. CBDF inhibited MHCII, CD80, and CD86 on dendritic cells of skin drainage lymph node. In vitro, CBDF inhibited bone marrow-derived DCs secrete IL-23, TNF-α, and lactate, while enhanced fatty acid oxidation and AMPK activity. However, the therapeutic effect was weakened in AMPKα2 deletion. Additionally, psoriasis lesions and dendritic cells activation were significantly aggravated after AMPKα2 knockout. The key ingredients of the CBDF, cimifugin, rutin, astilbin, quercetin, and prim-O-glucosylcimifugin, all exhibit a notable affinity towards AMPKα2 binding. CONCLUSIONS CBDF ameliorates psoriasis symptoms and inhibit dendritic cells maturation by regulating metabolic reprogramming in an AMPK-dependent mechanism.
Collapse
Affiliation(s)
- Yazhuo Wang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Ning Zhao
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Danyang Yang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Jingxia Zhao
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Tingting Di
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Yujiao Meng
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Lin Li
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Jia Chen
- Beijing University of Chinese Medicine, Beijing, 100105, China
| | - Haoyue Zhu
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Xiawei Zhang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Huike Ma
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Baoquan Qu
- Beijing University of Chinese Medicine, Beijing, 100105, China
| | - Yueyue Ma
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Ping Li
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China
| | - Yan Wang
- Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing Institute of Traditional Chinese Medicine, Beijing Key Laboratory of Clinic and Basic Research with Traditional Chinese Medicine on Psoriasis, Beijing, 100010, China.
| |
Collapse
|
2
|
Wang Q, Lang Z, Yin G, Zheng P, Lv H, Fang H, Wang T, Wang K, Zhao L. Analysis on the involvement of phosphoglycerate mutase 1 in the aerobic glycolysis of melanoma cells. Int J Biol Macromol 2024; 283:137898. [PMID: 39571856 DOI: 10.1016/j.ijbiomac.2024.137898] [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: 10/17/2024] [Revised: 11/18/2024] [Accepted: 11/18/2024] [Indexed: 12/18/2024]
Abstract
BACKGROUND The aim of this study was to investigate the mechanism through which phosphoglycerate mutase 1 (PGAM1) drives aerobic glycolysis and promotes tumor aggressiveness in melanoma and to evaluate its potential as a therapeutic target. METHODS The survival of patients with skin cutaneous melanoma was predicted. The expression of PGAM1 in melanoma cells was measured, and then the levels of markers related to apoptosis, glycolysis and immune responses in melanoma cells cultured with or without CD8+ T cells were detected. The effects of PGAM1 knockdown on the malignant phenotypes and extracellular acidification rate (ECAR) of melanoma cells were analyzed. RESULTS High-expressed PGAM1 was predictive of a poor prognosis of melanoma. The viability, proliferation and invasion as well as glycolysis of PGAM1-silenced melanoma cells were suppressed. PGAM1 silencing lowered the expressions of glycolysis-related markers and anti-apoptosis marker BCL2 but promoted that of BAX, a pro-apoptosis marker. Downregulated levels of immune responses-related markers were observed after PGAM1 knockdown. POMHEX, a glycolysis inhibitor, reduced glycolysis and suppressed the levels of immune responses-related markers and anti-apoptosis marker BCL2. CONCLUSION This study revealed the involvement of PGAM1 in the aerobic glycolysis of melanoma, providing novel insights into the molecular mechanisms of melanoma progression.
Collapse
Affiliation(s)
- Qiang Wang
- Department of Plastic Surgery, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Zhongliang Lang
- Department of Plastic Surgery, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Guangdi Yin
- Department of Plastic Surgery, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Peng Zheng
- Graduate School, Bengbu Medical College, Bengbu 233000, China
| | - Hanrui Lv
- Graduate School, Bengbu Medical College, Bengbu 233000, China
| | - Hong Fang
- Department of Plastic Surgery, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Ting Wang
- Medical Department, Anhui Zhifei Longcom Biopharmaceutical, Hefei 230001, China.
| | - Kai Wang
- Department of Plastic Surgery, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
| | - Liping Zhao
- Department of Plastic Surgery, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China.
| |
Collapse
|
3
|
Tomar MS, Mohit, Kumar A, Shrivastava A. Circadian immunometabolism: A future insight for targeted therapy in cancer. Sleep Med Rev 2024; 80:102031. [PMID: 39603026 DOI: 10.1016/j.smrv.2024.102031] [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: 04/15/2024] [Revised: 11/14/2024] [Accepted: 11/14/2024] [Indexed: 11/29/2024]
Abstract
Circadian rhythms send messages to regulate the sleep-wake cycle in living beings, which, regulate various biological activities. It is well known that altered sleep-wake cycles affect host metabolism and significantly deregulate the host immunity. The dysregulation of circadian-related genes is critical for various malignancies. One of the hallmarks of cancer is altered metabolism, the effects of which spill into surrounding microenvironments. Here, we review the emerging literature linking the circadian immunometabolic axis to cancer. Small metabolites are the products of various metabolic pathways, that are usually perturbed in cancer. Genes that regulate circadian rhythms also regulate host metabolism and control metabolite content in the tumor microenvironment. Immune cell infiltration into the tumor site is critical to perform anticancer functions, and altered metabolite content affects their trafficking to the tumor site. A compromised immune response in the tumor microenvironment aids cancer cell proliferation and immune evasion, resulting in metastases. The role of circadian rhythms in these processes is largely overlooked and demands renewed attention in the search for targets against cancer growth and spread. The precision medicine approach requires targeting the circadian immune metabolism in cancer.
Collapse
Affiliation(s)
- Manendra Singh Tomar
- Center for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India
| | - Mohit
- Center for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India; Department of Prosthodontics, Faculty of Dental Sciences, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India
| | - Ashok Kumar
- Department of Biochemistry, All India Institute of Medical Sciences (AIIMS) Bhopal, Saket Nagar, Bhopal, Madhya Pradesh, 462020, India.
| | - Ashutosh Shrivastava
- Center for Advance Research, Faculty of Medicine, King George's Medical University, Lucknow, Uttar Pradesh, 226003, India.
| |
Collapse
|
4
|
Sato Y, Osada E, Ushiki T, Maeda T, Manome Y. UDP-glucose ceramide glucosyltransferase specifically upregulated in plasmacytoid dendritic cells regulates type I interferon production upon CpG stimulation. Biochem Biophys Res Commun 2024; 733:150703. [PMID: 39307111 DOI: 10.1016/j.bbrc.2024.150703] [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: 07/11/2024] [Revised: 09/07/2024] [Accepted: 09/13/2024] [Indexed: 10/06/2024]
Abstract
Plasmacytoid dendritic cells (pDCs) are a distinct subset of DCs involved in immune regulation and antiviral immune responses. Recent studies have elucidated the metabolic profile of pDCs and reported that perturbations in amino acid metabolism can modulate their immune functions. Glycolipid metabolism is suggested to be highly active in pDCs; however, its significance remains unclear. In this study, bulk RNA-sequencing analysis confirmed the known pDC-marker expressions, including interleukin (IL)-3R (CD123), BDCA-2 (CD303), BDCA-4 (CD304), and toll-like receptor 9, compared with that of myeloid DCs (mDCs). Among the differentially expressed genes, UDP-glucose-ceramide glucosyltransferase (UGCG) expression was significantly upregulated in pDCs than in mDCs. Moreover, pDC-specific UGCG expression was observed at both the mRNA and protein levels in pDCs and pDC-like cell lines, including CAL-1 and PMDC05 cell lines. Pharmacological or clustered regularly interspaced palindromic repeat (CRISPR)/CRISPR-associated protein 9-mediated genetic inhibition of UGCG did not affect the pDC phenotype as evidenced by the persistent expression of IL-3R and BDCA-2 in pDC-like cell lines. However, UGCG knockout resulted in reduced type I interferon production in pDCs upon CpG activation. In addition, UGCG-knockout pDC-like cell lines exhibited reduced transduction by vesicular stomatitis virus-G pseudo-typed lentiviral vectors, suggesting that low UGCG expression hinders infectivity. Collectively, our findings suggest that pDC-specific UGCG expression is critical for cytokine production and antiviral immune responses in pDCs.
Collapse
Affiliation(s)
- Yohei Sato
- Core Research Facilities, Research Center for Medical Sciences, The Jikei University School of Medicine, Tokyo, Japan.
| | - Erika Osada
- Core Research Facilities, Research Center for Medical Sciences, The Jikei University School of Medicine, Tokyo, Japan
| | - Takashi Ushiki
- Division of Hematology and Oncology, Graduate School of Health Sciences, Niigata University, Niigata, Japan
| | - Takahiro Maeda
- Department of Community Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan
| | - Yoshinobu Manome
- Core Research Facilities, Research Center for Medical Sciences, The Jikei University School of Medicine, Tokyo, Japan
| |
Collapse
|
5
|
Hisada R, Kono M. Recent advances in immunometabolism in rheumatic diseases. Curr Opin Rheumatol 2024:00002281-990000000-00155. [PMID: 39513377 DOI: 10.1097/bor.0000000000001071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2024]
Abstract
PURPOSE OF REVIEW Aberrant autoreactive innate and adaptive immune responses cause systemic autoimmune diseases. Autoimmunity has been linked to abnormal metabolic states, and immunometabolism has emerged as a critical field in understanding the pathogenesis of rheumatic diseases. We aimed to explore the latest research on metabolic reprogramming in various immune cell types, including T cells, B cells, neutrophils, dendritic cells, monocytes, and macrophages, in the context of rheumatic diseases. RECENT FINDINGS Each immune cell utilizes preferred metabolic pathways, and the cell activation dramatically modifies metabolic status. The inhibition of these pathways alters cell survival, differentiation, proliferation, and cytokine production - all of which contribute to rheumatic disease progression. SUMMARY Targeting metabolic pathways or introducing anti-inflammatory metabolites, such as itaconate, could be novel therapeutic strategies for rheumatic diseases. Further research should focus on strategies for translating basic research findings to bedside applications.
Collapse
Affiliation(s)
- Ryo Hisada
- Department of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine, Hokkaido University, Sapporo, Japan
| | | |
Collapse
|
6
|
Jiao J, Zhao Y, Li Q, Jin S, Liu Z. LncRNAs in tumor metabolic reprogramming and tumor microenvironment remodeling. Front Immunol 2024; 15:1467151. [PMID: 39539540 PMCID: PMC11557318 DOI: 10.3389/fimmu.2024.1467151] [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: 07/19/2024] [Accepted: 10/07/2024] [Indexed: 11/16/2024] Open
Abstract
The tumor microenvironment (TME) is a complex and dynamic ecosystem composed of tumor cells, immune cells, supporting cells, and the extracellular matrix. Typically, the TME is characterized by an immunosuppressive state. To meet the demands of rapid proliferation, cancer cells undergo metabolic reprogramming, which enhances their biosynthesis and bioenergy supply. Immune cells require similar nutrients for activation and proliferation, leading to competition and immunosuppression within the TME. Additionally, tumor metabolites inhibit immune cell activation and function. Consequently, an immunosuppressed and immune-tolerant TME promotes cancer cell proliferation and metastasis. Long non-coding RNAs (lncRNAs), a category of non-coding RNA longer than 200 nucleotides, regulate tumor metabolic reprogramming by interacting with key enzymes, transporters, and related signaling pathways involved in tumor metabolism. Furthermore, lncRNAs can interact with both cellular and non-cellular components in the TME, thereby facilitating tumor growth, metastasis, drug resistance, and inducing immunosuppression. Recent studies have demonstrated that lncRNAs play a crucial role in reshaping the TME by regulating tumor metabolic reprogramming. In this discussion, we explore the potential mechanisms through which lncRNAs regulate tumor metabolic reprogramming to remodel the TME. Additionally, we examine the prospects of lncRNAs as targets for anti-tumor therapy and as biomarkers for tumor prognosis.
Collapse
Affiliation(s)
- Jianhang Jiao
- Department of Orthopedics, The Second Affiliated Hospital of Jilin University, Changchun, Jilin, China
| | - Yangzhi Zhao
- Department of Hematology, The First Hospital of Jilin University, Changchun, China
| | - Qimei Li
- Department of Radiation Oncology, The Second Affiliated Hospital of Jilin University, Changchun, China
| | - Shunzi Jin
- NHC Key Laboratory of Radiobiology, Jilin University, Changchun, China
| | - Zhongshan Liu
- Department of Radiation Oncology, The Second Affiliated Hospital of Jilin University, Changchun, China
| |
Collapse
|
7
|
Monti M, Ferrari G, Gazzurelli L, Bugatti M, Facchetti F, Vermi W. Plasmacytoid dendritic cells at the forefront of anti-cancer immunity: rewiring strategies for tumor microenvironment remodeling. J Exp Clin Cancer Res 2024; 43:196. [PMID: 39020402 PMCID: PMC11253500 DOI: 10.1186/s13046-024-03121-9] [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: 05/10/2024] [Accepted: 07/08/2024] [Indexed: 07/19/2024] Open
Abstract
Plasmacytoid dendritic cells (pDCs) are multifaceted immune cells executing various innate immunological functions. Their first line of defence consists in type I interferons (I-IFN) production upon nucleic acids sensing through endosomal Toll-like receptor (TLR) 7- and 9-dependent signalling pathways. Type I IFNs are a class of proinflammatory cytokines that have context-dependent functions on cancer immunosurveillance and immunoediting. In the last few years, different studies have reported that pDCs are also able to sense cytosolic DNA through cGAS-STING (stimulator of interferon genes) pathway eliciting a potent I-IFN production independently of TLR7/9. Human pDCs are also endowed with direct effector functions via the upregulation of TRAIL and production of granzyme B, the latter modulated by cytokines abundant in cancer tissues. pDCs have been detected in a wide variety of human malignant neoplasms, including virus-associated cancers, recruited by chemotactic stimuli. Although the role of pDCs in cancer immune surveillance is still uncompletely understood, their spontaneous activation has been rarely documented; moreover, their presence in the tumor microenvironment (TME) has been associated with a tolerogenic phenotype induced by immunosuppressive cytokines or oncometabolites. Currently tested treatment options can lead to pDCs activation and disruption of the immunosuppressive TME, providing a relevant clinical benefit. On the contrary, the antibody-drug conjugates targeting BDCA-2 on immunosuppressive tumor-associated pDCs (TA-pDCs) could be proposed as novel immunomodulatory therapies to achieve disease control in patients with advance stage hematologic malignancies or solid tumors. This Review integrate recent evidence on the biology of pDCs and their pharmacological modulation, suggesting their relevant role at the forefront of cancer immunity.
Collapse
Affiliation(s)
- Matilde Monti
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, P.Le Spedali Civili 1, 25123, Brescia, Italy
| | - Giorgia Ferrari
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, P.Le Spedali Civili 1, 25123, Brescia, Italy
| | - Luisa Gazzurelli
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, P.Le Spedali Civili 1, 25123, Brescia, Italy
| | - Mattia Bugatti
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, P.Le Spedali Civili 1, 25123, Brescia, Italy
| | - Fabio Facchetti
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, P.Le Spedali Civili 1, 25123, Brescia, Italy
| | - William Vermi
- Department of Molecular and Translational Medicine, Section of Pathology, University of Brescia, P.Le Spedali Civili 1, 25123, Brescia, Italy.
- Department of Pathology and Immunology, Washington University School of Medicine, Saint Louis, MO, USA.
| |
Collapse
|
8
|
Greene TT, Jo Y, Macal M, Fang Z, Khatri FS, Codrington AL, Kazane KR, Chiale C, Akbulut E, Swaminathan S, Fujita Y, Fitzgerald-Bocarsly P, Cordes T, Metallo C, Scott DA, Zuniga EI. Metabolic Deficiencies Underlie Plasmacytoid Dendritic Cell Exhaustion After Viral Infection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.28.582551. [PMID: 38464328 PMCID: PMC10925345 DOI: 10.1101/2024.02.28.582551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Type I Interferons (IFN-I) are central to host protection against viral infections 1 . While any cell can produce IFN-I, Plasmacytoid Dendritic Cells (pDCs) make greater quantities and more varieties of these cytokines than any other cell type 2 . However, following an initial burst of IFN- I, pDCs lose their exceptional IFN-I production capacity and become "exhausted", a phenotype that associates with enhanced susceptibility to secondary infections 3-5 . Despite this apparent cost for the host, pDC exhaustion is conserved across multiple species and viral infections, but the underlying mechanisms and the potential evolutionary advantages are not well understood. Here we characterize pDC exhaustion and demonstrate that it is associated with a reduced capacity of pDCs to engage both oxidative and glycolytic metabolism. Mechanistically, we identify lactate dehydrogenase B (LDHB) as a novel positive regulator of pDC IFN-I production in mice and humans, show that LDHB deficiency is associated with suppressed IFN-I production, pDC metabolic capacity, and viral control following a viral infection, and demonstrate that preservation of LDHB expression is sufficient to partially restore exhausted pDC function in vitro and in vivo . Furthermore, restoring LDHB in vivo in exhausted pDCs increased IFNAR dependent infection- associated pathology. Therefore, our work identifies a novel and conserved mechanism for balancing immunity and pathology during viral infections, while also providing insight into the highly preserved but previously unexplained phenomenon of pDC exhaustion.
Collapse
|
9
|
Zhou B, Yang Y, Kang Y, Hou J, Yang Y. Targeting the macrophage immunocheckpoint: a novel insight into solid tumor immunotherapy. Cell Commun Signal 2024; 22:66. [PMID: 38273373 PMCID: PMC10809660 DOI: 10.1186/s12964-023-01384-x] [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: 09/04/2023] [Accepted: 11/04/2023] [Indexed: 01/27/2024] Open
Abstract
Tumor immunotherapy, which targets immune checkpoints, presents a promising strategy for the treatment of various cancer types. However, current clinical data indicate challenges in its application to solid tumors. Recent studies have revealed a significant correlation between the degree of immune response in immunotherapy and the tumor microenvironment, particularly with regard to tumor-infiltrating immune cells. Among these immune cells, macrophages, a critical component, are playing an increasingly vital role in tumor immunotherapy. This review focuses on elucidating the role of macrophages within solid tumors and provides an overview of the progress in immunotherapy approaches centered around modulating macrophage responses through various immune factors. Video Abstract.
Collapse
Affiliation(s)
- Bei Zhou
- Department of Biochemistry and molecular biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, 453003, China
| | - Yan Yang
- Department of Biochemistry and molecular biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, 453003, China
| | - Yan Kang
- Department of Biochemistry and molecular biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, 453003, China
| | - Jingjing Hou
- Department of Gastrointestinal Surgery, Zhongshan Hospital of Xiamen University, Xiamen, Fujian, 361004, China.
- Institute of Gastrointestinal Oncology, School of Medicine, Xiamen University, Xiamen, Fujian, 361004, China.
| | - Yun Yang
- Department of Biochemistry and molecular biology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang, Henan, 453003, China.
| |
Collapse
|
10
|
Adamik J, Munson PV, Maurer DM, Hartmann FJ, Bendall SC, Argüello RJ, Butterfield LH. Immuno-metabolic dendritic cell vaccine signatures associate with overall survival in vaccinated melanoma patients. Nat Commun 2023; 14:7211. [PMID: 37938561 PMCID: PMC10632482 DOI: 10.1038/s41467-023-42881-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 10/24/2023] [Indexed: 11/09/2023] Open
Abstract
Efficacy of cancer vaccines remains low and mechanistic understanding of antigen presenting cell function in cancer may improve vaccine design and outcomes. Here, we analyze the transcriptomic and immune-metabolic profiles of Dendritic Cells (DCs) from 35 subjects enrolled in a trial of DC vaccines in late-stage melanoma (NCT01622933). Multiple platforms identify metabolism as an important biomarker of DC function and patient overall survival (OS). We demonstrate multiple immune and metabolic gene expression pathway alterations, a functional decrease in OCR/OXPHOS and increase in ECAR/glycolysis in patient vaccines. To dissect molecular mechanisms, we utilize single cell SCENITH functional profiling and show patient clinical outcomes (OS) correlate with DC metabolic profile, and that metabolism is linked to immune phenotype. With single cell metabolic regulome profiling, we show that MCT1 (monocarboxylate transporter-1), a lactate transporter, is increased in patient DCs, as is glucose uptake and lactate secretion. Importantly, pre-vaccination circulating myeloid cells in patients used as precursors for DC vaccine generation are significantly skewed metabolically as are several DC subsets. Together, we demonstrate that the metabolic profile of DC is tightly associated with the immunostimulatory potential of DC vaccines from cancer patients. We link phenotypic and functional metabolic changes to immune signatures that correspond to suppressed DC differentiation.
Collapse
Affiliation(s)
- Juraj Adamik
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, 94129, USA
| | - Paul V Munson
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, 94129, USA
| | - Deena M Maurer
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, 94129, USA
| | - Felix J Hartmann
- Systems Immunology and Single-Cell Biology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sean C Bendall
- Department of Pathology, Stanford University, Palo Alto, CA, 94304, USA
| | - Rafael J Argüello
- Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France
| | - Lisa H Butterfield
- Parker Institute for Cancer Immunotherapy, San Francisco, CA, 94129, USA.
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco, CA, USA.
| |
Collapse
|
11
|
Chen H, Zhao T, Fan J, Yu Z, Ge Y, Zhu H, Dong P, Zhang F, Zhang L, Xue X, Lin X. Construction of a prognostic model for colorectal adenocarcinoma based on Zn transport-related genes identified by single-cell sequencing and weighted co-expression network analysis. Front Oncol 2023; 13:1207499. [PMID: 37829346 PMCID: PMC10565862 DOI: 10.3389/fonc.2023.1207499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 08/25/2023] [Indexed: 10/14/2023] Open
Abstract
Background Colorectal cancer (CRC) is one of the most prevalent malignancies and the third most lethal cancer globally. The most reported histological subtype of CRC is colon adenocarcinoma (COAD). The zinc transport pathway is critically involved in various tumors, and its anti-tumor effect may be through improving immune function. However, the Zn transport pathway in COAD has not been reported. Methods The determination of Zn transport-related genes in COAD was carried out through single-cell analysis of the GSE 161277 obtained from the GEO dataset. Subsequently, a weighted co-expression network analysis of the TCGA cohort was performed. Then, the prognostic model was conducted utilizing univariate Cox regression and least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Functional enrichment, immune microenvironment, and survival analyses were also carried out. Consensus clustering analysis was utilized to verify the validity of the prognostic model and explore the immune microenvironment. Ultimately, cell experiments, including CCK-8,transwell and scratch assays, were performed to identify the function of LRRC59 in COAD. Results According to the Zn transport-related prognostic model, the individuals with COAD in TCGA and GEO databases were classified into high- and low-risk groups. The group with low risk had a comparatively more favorable prognosis. Two groups had significant variations in the immune infiltration, MHC, and the expression of genes related to the immune checkpoint. The cell experiments indicated that the proliferation, migration, and invasion of the HCT-116, DLD-1, and RKO cell lines were considerably increased after LRRC59 knockdown. It proved that LRRC59 was indeed a protective factor for COAD. Conclusion A prognostic model for COAD was developed using zinc transport-related genes. This model can efficiently assess the immune microenvironment and prognosis of individuals with COAD. Subsequently, the function of LRRC59 in COAD was validated via cell experiments, highlighting its potential as a biomarker.
Collapse
Affiliation(s)
- Hua Chen
- Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Ting Zhao
- Department of Microbiology and Immunology, School of Basic Medical Science, Institute of Molecular Virology and Immunology, Institute of Tropical Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Jianing Fan
- School of Second Clinical Medical, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Zhiqiang Yu
- Department of General Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Yiwen Ge
- School of Second Clinical Medical, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - He Zhu
- Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Pingping Dong
- Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Fu Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Liang Zhang
- Department of General Surgery, The Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiangyang Xue
- Department of Microbiology and Immunology, School of Basic Medical Science, Institute of Molecular Virology and Immunology, Institute of Tropical Medicine, Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Xiaoming Lin
- Department of Thoracic Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| |
Collapse
|
12
|
Benedetti E, Liu EM, Tang C, Kuo F, Buyukozkan M, Park T, Park J, Correa F, Hakimi AA, Intlekofer AM, Krumsiek J, Reznik E. A multimodal atlas of tumour metabolism reveals the architecture of gene-metabolite covariation. Nat Metab 2023; 5:1029-1044. [PMID: 37337120 PMCID: PMC10290959 DOI: 10.1038/s42255-023-00817-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Accepted: 05/09/2023] [Indexed: 06/21/2023]
Abstract
Tumour metabolism is controlled by coordinated changes in metabolite abundance and gene expression, but simultaneous quantification of metabolites and transcripts in primary tissue is rare. To overcome this limitation and to study gene-metabolite covariation in cancer, we assemble the Cancer Atlas of Metabolic Profiles of metabolomic and transcriptomic data from 988 tumour and control specimens spanning 11 cancer types in published and newly generated datasets. Meta-analysis of the Cancer Atlas of Metabolic Profiles reveals two classes of gene-metabolite covariation that transcend cancer types. The first corresponds to gene-metabolite pairs engaged in direct enzyme-substrate interactions, identifying putative genes controlling metabolite pool sizes. A second class of gene-metabolite covariation represents a small number of hub metabolites, including quinolinate and nicotinamide adenine dinucleotide, which correlate to many genes specifically expressed in immune cell populations. These results provide evidence that gene-metabolite covariation in cellularly heterogeneous tissue arises, in part, from both mechanistic interactions between genes and metabolites, and from remodelling of the bulk metabolome in specific immune microenvironments.
Collapse
Affiliation(s)
- Elisa Benedetti
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Institute of Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Eric Minwei Liu
- Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Cerise Tang
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fengshen Kuo
- Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Mustafa Buyukozkan
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA
- Institute of Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA
| | - Tricia Park
- Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jinsung Park
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fabian Correa
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - A Ari Hakimi
- Department of Surgery, Urology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrew M Intlekofer
- Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Jan Krumsiek
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- Institute of Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
- Englander Institute for Precision Medicine, Weill Cornell Medicine, New York, NY, USA.
| | - Ed Reznik
- Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA.
- Computational Oncology Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
- Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| |
Collapse
|
13
|
Ganjoo S, Gupta P, Corbali HI, Nanez S, Riad TS, Duong LK, Barsoumian HB, Masrorpour F, Jiang H, Welsh JW, Cortez MA. The role of tumor metabolism in modulating T-Cell activity and in optimizing immunotherapy. Front Immunol 2023; 14:1172931. [PMID: 37180129 PMCID: PMC10169689 DOI: 10.3389/fimmu.2023.1172931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Accepted: 04/13/2023] [Indexed: 05/15/2023] Open
Abstract
Immunotherapy has revolutionized cancer treatment and revitalized efforts to harness the power of the immune system to combat a variety of cancer types more effectively. However, low clinical response rates and differences in outcomes due to variations in the immune landscape among patients with cancer continue to be major limitations to immunotherapy. Recent efforts to improve responses to immunotherapy have focused on targeting cellular metabolism, as the metabolic characteristics of cancer cells can directly influence the activity and metabolism of immune cells, particularly T cells. Although the metabolic pathways of various cancer cells and T cells have been extensively reviewed, the intersections among these pathways, and their potential use as targets for improving responses to immune-checkpoint blockade therapies, are not completely understood. This review focuses on the interplay between tumor metabolites and T-cell dysfunction as well as the relationship between several T-cell metabolic patterns and T-cell activity/function in tumor immunology. Understanding these relationships could offer new avenues for improving responses to immunotherapy on a metabolic basis.
Collapse
Affiliation(s)
- Shonik Ganjoo
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Priti Gupta
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Halil Ibrahim Corbali
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Medical Pharmacology, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpasa, Istanbul, Türkiye
| | - Selene Nanez
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Thomas S. Riad
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Lisa K. Duong
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Hampartsoum B. Barsoumian
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Fatemeh Masrorpour
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Hong Jiang
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - James W. Welsh
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Maria Angelica Cortez
- Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| |
Collapse
|
14
|
Identification of a Five Immune Term Signature for Prognosis and Therapy Options (Immunotherapy versus Targeted Therapy) for Patients with Hepatocellular Carcinoma. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2023; 2023:8958962. [PMID: 36785674 PMCID: PMC9918845 DOI: 10.1155/2023/8958962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Revised: 10/15/2022] [Accepted: 10/17/2022] [Indexed: 02/05/2023]
Abstract
Background Immune microenvironment implicated in liver cancer development. Nevertheless, previous studies have not fully investigated the immune microenvironment in liver cancer. Methods The open-access data used for analysis were obtained from The Cancer Genome Atlas (TCGA-LIHC) and the International Cancer Genome Consortium databases (ICGC-JP and ICGC-FR). R program was employed to analyze all the data statistically. Results First, the TCGA-LIHC, ICGC-FR, and ICGC-JP cohorts were selected for our analysis, which were merged into a combined cohort. Then, we quantified 53 immune terms in this combined cohort with large populations using the ssGSEA algorithm. Next, a prognostic approach was established based on five immune principles (CORE.SERUM.RESPONSE.UP, angiogenesis, CD8.T.cells, Th2.cells, and B.cells) was established, which showed great prognostic prediction efficiency. Clinical correlation analysis demonstrated that high-risk patients could reveal higher progressive clinical features. Next, to examine the inherent biological variations in high- and low-risk patients, pathway enrichment tests were conducted. DNA repair, E2F targets, G2M checkpoints, HEDGEHOG signaling, mTORC1 signaling, and MYC target were positively correlated with the risk score. Examination of genomic instability revealed that high-risk patients may exhibit a higher tumor mutation burden score. Meanwhile, the risk score showed a strong positive correlation with the tumor stemness index. In addition, the Tumor Immune Dysfunction and Exclusion outcome indicated that high-risk patients could be higher responsive to immunotherapy, whereas low-risk patients may be higher responsive to Erlotinib. Finally, six characteristic genes DEPDC1, DEPDC1B, NGFR, CALCRL, PRR11, and TRIP13 were identified for risk group prediction. Conclusions In summary, our study identified a signature as a useful tool to indicate prognosis and therapy options for liver cancer patients.
Collapse
|
15
|
Tumor Microenvironment and Metabolism: Role of the Mitochondrial Melatonergic Pathway in Determining Intercellular Interactions in a New Dynamic Homeostasis. Int J Mol Sci 2022; 24:ijms24010311. [PMID: 36613754 PMCID: PMC9820362 DOI: 10.3390/ijms24010311] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/17/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
There is a growing interest in the role of alterations in mitochondrial metabolism in the pathoetiology and pathophysiology of cancers, including within the array of diverse cells that can form a given tumor microenvironment. The 'exhaustion' in natural killer cells and CD8+ t cells as well as the tolerogenic nature of dendritic cells in the tumor microenvironment seems determined by variations in mitochondrial function. Recent work has highlighted the important role played by the melatonergic pathway in optimizing mitochondrial function, limiting ROS production, endogenous antioxidants upregulation and consequent impacts of mitochondrial ROS on ROS-dependent microRNAs, thereby impacting on patterned gene expression. Within the tumor microenvironment, the tumor, in a quest for survival, seeks to 'dominate' the dynamic intercellular interactions by limiting the capacity of cells to optimally function, via the regulation of their mitochondrial melatonergic pathway. One aspect of this is the tumor's upregulation of kynurenine and the activation of the aryl hydrocarbon receptor, which acts to metabolize melatonin and increase the N-acetylserotonin/melatonin ratio, with effluxed N-acetylserotonin acting as a brain-derived neurotrophic factor (BDNF) mimic via its activation of the BDNF receptor, TrkB, thereby increasing the survival and proliferation of tumors and cancer stem-like cells. This article highlights how many of the known regulators of cells in the tumor microenvironment can be downstream of the mitochondrial melatonergic pathway regulation. Future research and treatment implications are indicated.
Collapse
|
16
|
Chen C, Wang Z, Ding Y, Qin Y. Manipulating T-cell metabolism to enhance immunotherapy in solid tumor. Front Immunol 2022; 13:1090429. [PMID: 36618408 PMCID: PMC9812959 DOI: 10.3389/fimmu.2022.1090429] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
Cellular metabolism is not only essential for tumor cells to sustain their rapid growth and proliferation, but also crucial to maintain T cell fitness and robust immunity. Dysregulated metabolism has been recognized as a hallmark of cancer, which provides survival advantages for tumor cells under stress conditions. Also, emerging evidence suggests that metabolic reprogramming impacts the activation, differentiation, function, and exhaustion of T cells. Normal stimulation of resting T cells promotes the conversion of catabolic and oxidative metabolism to aerobic glycolysis in effector T cells, and subsequently back to oxidative metabolism in memory T cells. These metabolic transitions profoundly affect the trajectories of T-cell differentiation and fate. However, these metabolic events of T cells could be dysregulated by their interplays with tumor or the tumor microenvironment (TME). Importantly, metabolic competition in the tumor ecosystem is a new mechanism resulting in strong suppression of effector T cells. It is appreciated that targeting metabolic reprogramming is a promising way to disrupt the hypermetabolic state of tumor cells and enhance the capacity of immune cells to obtain nutrients. Furthermore, immunotherapies, such as immune checkpoint inhibitor (ICI), adoptive cell therapy (ACT), and oncolytic virus (OV) therapy, have significantly refashioned the clinical management of solid tumors, they are not sufficiently effective for all patients. Understanding how immunotherapy affects T cell metabolism provides a bright avenue to better modulate T cell anti-tumor response. In this review, we provide an overview of the cellular metabolism of tumor and T cells, provide evidence on their dynamic interaction, highlight how metabolic reprogramming of tumor and T cells regulate the anti-tumor responses, describe T cell metabolic patterns in the context of ICI, ACT, and OV, and propose hypothetical combination strategies to favor potent T cell functionality.
Collapse
|
17
|
Diaz O, Vidalain PO, Ramière C, Lotteau V, Perrin-Cocon L. What role for cellular metabolism in the control of hepatitis viruses? Front Immunol 2022; 13:1033314. [PMID: 36466918 PMCID: PMC9713817 DOI: 10.3389/fimmu.2022.1033314] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/02/2022] [Indexed: 11/26/2023] Open
Abstract
Hepatitis B, C and D viruses (HBV, HCV, HDV, respectively) specifically infect human hepatocytes and often establish chronic viral infections of the liver, thus escaping antiviral immunity for years. Like other viruses, hepatitis viruses rely on the cellular machinery to meet their energy and metabolite requirements for replication. Although this was initially considered passive parasitism, studies have shown that hepatitis viruses actively rewire cellular metabolism through molecular interactions with specific enzymes such as glucokinase, the first rate-limiting enzyme of glycolysis. As part of research efforts in the field of immunometabolism, it has also been shown that metabolic changes induced by viruses could have a direct impact on the innate antiviral response. Conversely, detection of viral components by innate immunity receptors not only triggers the activation of the antiviral defense but also induces in-depth metabolic reprogramming that is essential to support immunological functions. Altogether, these complex triangular interactions between viral components, innate immunity and hepatocyte metabolism may explain why chronic hepatitis infections progressively lead to liver inflammation and progression to cirrhosis, fibrosis and hepatocellular carcinoma (HCC). In this manuscript, we first present a global overview of known connections between the innate antiviral response and cellular metabolism. We then report known molecular mechanisms by which hepatitis viruses interfere with cellular metabolism in hepatocytes and discuss potential consequences on the innate immune response. Finally, we present evidence that drugs targeting hepatocyte metabolism could be used as an innovative strategy not only to deprive viruses of key metabolites, but also to restore the innate antiviral response that is necessary to clear infection.
Collapse
Affiliation(s)
- Olivier Diaz
- CIRI, Centre International de Recherche en Infectiologie, Team VIRal Infection, Metabolism and Immunity, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Pierre-Olivier Vidalain
- CIRI, Centre International de Recherche en Infectiologie, Team VIRal Infection, Metabolism and Immunity, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Christophe Ramière
- CIRI, Centre International de Recherche en Infectiologie, Team VIRal Infection, Metabolism and Immunity, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
- Laboratoire de Virologie, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
| | - Vincent Lotteau
- CIRI, Centre International de Recherche en Infectiologie, Team VIRal Infection, Metabolism and Immunity, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| | - Laure Perrin-Cocon
- CIRI, Centre International de Recherche en Infectiologie, Team VIRal Infection, Metabolism and Immunity, Univ Lyon, Inserm, U1111, Université Claude Bernard Lyon 1, CNRS, UMR5308, ENS de Lyon, Lyon, France
| |
Collapse
|
18
|
Xia D, Liu Q, Jiao W, Peng L, Wang Q, Tuo Z, Bi L. Exploration of the role of Cuproptosis genes and their related long non-coding RNA in clear cell renal cell carcinoma: a comprehensive bioinformatics study. BMC Cancer 2022; 22:1141. [PMID: 36335291 PMCID: PMC9637316 DOI: 10.1186/s12885-022-10278-z] [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: 05/08/2022] [Accepted: 11/03/2022] [Indexed: 11/07/2022] Open
Abstract
Clear cell renal cell carcinoma is a common malignant tumor of the urinary system. The mechanism of its occurrence and development is unknown, and there is currently few effective comprehensive predictive markers for prognosis and treatment response. With the discovery of a new cell death process - cuproptosis drew the attention of researchers. We constructed a model for the prediction of clinical prognosis and immunotherapy response through integrative analysis of gene expression datasets from KIRC samples in The Cancer Genome Atlas (TCGA) database. During the course of the study, we found that cuproptosis genes are significantly differentially expressed between clear cell renal cell carcinoma samples and normal samples. Based on this, we put forward the prognostic model for cuproptosis gene related-long non-coding RNA. And through various statistic and external independent cohorts, we proved that the model is accurate and stable, worthy of clinical application and further exploration and validation.
Collapse
Affiliation(s)
- Dian Xia
- grid.452696.a0000 0004 7533 3408Department of Urology, The Second Hospital of Anhui Medical University, Hefei, China
| | - Qi Liu
- grid.412679.f0000 0004 1771 3402Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wen Jiao
- grid.452696.a0000 0004 7533 3408Department of Urology, The Second Hospital of Anhui Medical University, Hefei, China
| | - Longfei Peng
- grid.452696.a0000 0004 7533 3408Department of Urology, The Second Hospital of Anhui Medical University, Hefei, China
| | - Qi Wang
- grid.452696.a0000 0004 7533 3408Department of Urology, The Second Hospital of Anhui Medical University, Hefei, China
| | - ZhouTing Tuo
- grid.452696.a0000 0004 7533 3408Department of Urology, The Second Hospital of Anhui Medical University, Hefei, China
| | - Liangkuan Bi
- Department of Urology, The Second Hospital of Anhui Medical University, Hefei, China. .,Department of Urology, Peking University Shenzhen Hospital, ShenZhen, China.
| |
Collapse
|
19
|
Kumar R, Mishra A, Gautam P, Feroz Z, Vijayaraghavalu S, Likos EM, Shukla GC, Kumar M. Metabolic Pathways, Enzymes, and Metabolites: Opportunities in Cancer Therapy. Cancers (Basel) 2022; 14:5268. [PMID: 36358687 PMCID: PMC9656396 DOI: 10.3390/cancers14215268] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 10/09/2022] [Accepted: 10/19/2022] [Indexed: 07/30/2023] Open
Abstract
Metabolic reprogramming enables cancer cells to proliferate and produce tumor biomass under a nutrient-deficient microenvironment and the stress of metabolic waste. A cancer cell adeptly undergoes a variety of adaptations in metabolic pathways and differential expression of metabolic enzyme genes. Metabolic adaptation is mainly determined by the physiological demands of the cancer cell of origin and the host tissue. Numerous metabolic regulators that assist cancer cell proliferation include uncontrolled anabolism/catabolism of glucose metabolism, fatty acids, amino acids metabolism, nucleotide metabolism, tumor suppressor genes, microRNAs, and many regulatory enzymes and genes. Using this paradigm, we review the current understanding of metabolic reprogramming in tumors and discuss the new strategies of cancer metabolomics that can be tapped into for cancer therapeutics.
Collapse
Affiliation(s)
- Rishabh Kumar
- Department of Biochemistry, Faculty of Science, University of Allahabad, Prayagraj 211002, UP, India
| | - Anurag Mishra
- Department of Biochemistry, Faculty of Science, University of Allahabad, Prayagraj 211002, UP, India
| | - Priyanka Gautam
- Department of Biochemistry, Faculty of Science, University of Allahabad, Prayagraj 211002, UP, India
| | - Zainab Feroz
- Department of Biochemistry, Faculty of Science, University of Allahabad, Prayagraj 211002, UP, India
| | | | - Eviania M. Likos
- Center for Gene Regulation in Health and Disease, Department of Biological, Geological, and Environmental Sciences, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, USA
| | - Girish C. Shukla
- Center for Gene Regulation in Health and Disease, Department of Biological, Geological, and Environmental Sciences, Cleveland State University, 2121 Euclid Avenue, Cleveland, OH 44115, USA
| | - Munish Kumar
- Department of Biochemistry, Faculty of Science, University of Allahabad, Prayagraj 211002, UP, India
| |
Collapse
|
20
|
Distinct metabolic states guide maturation of inflammatory and tolerogenic dendritic cells. Nat Commun 2022; 13:5184. [PMID: 36056019 PMCID: PMC9440236 DOI: 10.1038/s41467-022-32849-1] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 08/20/2022] [Indexed: 12/17/2022] Open
Abstract
Cellular metabolism underpins immune cell functionality, yet our understanding of metabolic influences in human dendritic cell biology and their ability to orchestrate immune responses is poorly developed. Here, we map single-cell metabolic states and immune profiles of inflammatory and tolerogenic monocytic dendritic cells using recently developed multiparametric approaches. Single-cell metabolic pathway activation scores reveal simultaneous engagement of multiple metabolic pathways in distinct monocytic dendritic cell differentiation stages. GM-CSF/IL4-induce rapid reprogramming of glycolytic monocytes and transient co-activation of mitochondrial pathways followed by TLR4-dependent maturation of dendritic cells. Skewing of the mTOR:AMPK phosphorylation balance and upregulation of OXPHOS, glycolytic and fatty acid oxidation metabolism underpin metabolic hyperactivity and an immunosuppressive phenotype of tolerogenic dendritic cells, which exhibit maturation-resistance and a de-differentiated immune phenotype marked by unique immunoregulatory receptor signatures. This single-cell dataset provides important insights into metabolic pathways impacting the immune profiles of human dendritic cells. Assessing metabolic activity within single cells rather than at a population level has a number of advantages. Here, the authors use a flow and mass cytometry based approach that assess the metabolic differences between populations of human immune stimulatory and tolerogenic dendritic cells.
Collapse
|
21
|
Huang Y, Ouyang F, Yang F, Zhang N, Zhao W, Xu H, Yang X. The expression of Hexokinase 2 and its hub genes are correlated with the prognosis in glioma. BMC Cancer 2022; 22:900. [PMID: 35982398 PMCID: PMC9386956 DOI: 10.1186/s12885-022-10001-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 08/10/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Hexokinase 2 (HK2) is an enzyme that catalyses the conversion of glucose to glucose-6-phosphate, which has been found to be associated with malignant tumour growth. However, the potential immunological and clinical significance of HK2, especially in terms of prognostic prediction for patients with glioma, has not been fully elucidated. METHODS To investigate the expression, immunological and clinical significance of HK2 in patients with glioma, several databases, including ONCOMINE, TIMER2.0, GEPIA, CGGA, UCSC, LinkedOmics, Metascape, STRING, GSCA, and TISIDB, as well as biochemical, cellular, and pathological analyses, were used in this study. In addition, we performed univariate, multivariate Cox regression and nomogram analyses of the hub genes positively and negatively correlated with HK2 to explore the potential regulatory mechanism in the initiation and development of glioma. RESULTS Our results demonstrated that HK2 was highly expressed in most malignant cancers. HK2 expression was significantly higher in lower grade glioma (LGG) and glioblastoma (GBM) than in adjacent normal tissue. In addition, HK2 expression was significantly correlated with clinical parameters, histological manifestations, and prognosis in glioma patients. Specifically, the data from The Cancer Genome Atlas downloaded from UCSC Xena database analysis showed that high expression of HK2 was strongly associated with poor prognosis in glioma patients. The LinkedOmics database indicated that HK2-related genes were mainly enriched in immune-related cells. In LGG and GBM tissues, HK2 expression is usually correlated with recognized immune checkpoints and the abundance of multiple immune infiltrates. Similarly, the Metascape database revealed that HK2-related genes were mainly enriched and annotated in immune-related pathways and immune cells. Further investigations also confirmed that the inhibition of HK2 expression remarkably suppressed metastasis and vasculogenic mimicry (VM) formation in glioma cells through regulating the gene expression of inflammatory and immune modulators. CONCLUSION HK2 expression was closely associated with the malignant properties of glioma through activating multiple immune-related signalling pathways to regulate immune responses and the infiltration of immune cells. Thus, HK2 and its hub genes may be a potential target for the treatment of glioma.
Collapse
Affiliation(s)
- Yishan Huang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Fan Ouyang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Fengxia Yang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Ning Zhang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| | - Weijiang Zhao
- Cell Biology Department, Wuxi School of Medicine, Jiangnan University, Wuxi, China
| | - Hongwu Xu
- Department of Neurosurgery, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
- Department of Anthropotomy/Clinically Oriented Anatomy, Shantou University Medical College, Shantou, China
| | - Xiaojun Yang
- Guangdong Provincial Key Laboratory of Infectious Disease and Molecular Immunopathology, Shantou University Medical College, Shantou, China
| |
Collapse
|
22
|
Sun Q, Wu J, Zhu G, Li T, Zhu X, Ni B, Xu B, Ma X, Li J. Lactate-related metabolic reprogramming and immune regulation in colorectal cancer. Front Endocrinol (Lausanne) 2022; 13:1089918. [PMID: 36778600 PMCID: PMC9909490 DOI: 10.3389/fendo.2022.1089918] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 12/27/2022] [Indexed: 01/27/2023] Open
Abstract
Changes in cellular metabolism involving fuel sources are well-known mechanisms of cancer cell differentiation in the context of carcinogenesis. Metabolic reprogramming is regulated by oncogenic signaling and transcriptional networks and has been identified as an essential component of malignant transformation. Hypoxic and acidified tumor microenvironment contributes mainly to the production of glycolytic products known as lactate. Mounting evidence suggests that lactate in the tumor microenvironment of colorectal cancer(CRC) contributes to cancer therapeutic resistance and metastasis. The contents related to the regulatory effects of lactate on metabolism, immune response, and intercellular communication in the tumor microenvironment of CRC are also constantly updated. Here we summarize the latest studies about the pleiotropic effects of lactate in CRC and the clinical value of targeting lactate metabolism as treatment. Different effects of lactate on various immune cell types, microenvironment characteristics, and pathophysiological processes have also emerged. Potential specific therapeutic targeting of CRC lactate metabolism is also discussed. With increased knowledge, effective druggable targets might be identified, with the aim of improving treatment outcomes by reducing chemoresistance.
Collapse
Affiliation(s)
- Qianhui Sun
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jingyuan Wu
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate College, Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Guanghui Zhu
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate College, Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Tingting Li
- Graduate College, Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Xiaoyu Zhu
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Baoyi Ni
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Bowen Xu
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate College, Beijing University of Traditional Chinese Medicine, Beijing, China
| | - Xinyi Ma
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jie Li
- Oncology Department, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Jie Li,
| |
Collapse
|
23
|
Greene TT, Zuniga EI. Type I Interferon Induction and Exhaustion during Viral Infection: Plasmacytoid Dendritic Cells and Emerging COVID-19 Findings. Viruses 2021; 13:1839. [PMID: 34578420 PMCID: PMC8472174 DOI: 10.3390/v13091839] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2021] [Revised: 09/01/2021] [Accepted: 09/01/2021] [Indexed: 01/12/2023] Open
Abstract
Type I Interferons (IFN-I) are a family of potent antiviral cytokines that act through the direct restriction of viral replication and by enhancing antiviral immunity. However, these powerful cytokines are a caged lion, as excessive and sustained IFN-I production can drive immunopathology during infection, and aberrant IFN-I production is a feature of several types of autoimmunity. As specialized producers of IFN-I plasmacytoid (p), dendritic cells (DCs) can secrete superb quantities and a wide breadth of IFN-I isoforms immediately after infection or stimulation, and are the focus of this review. Notably, a few days after viral infection pDCs tune down their capacity for IFN-I production, producing less cytokines in response to both the ongoing infection and unrelated secondary stimulations. This process, hereby referred to as "pDC exhaustion", favors viral persistence and associates with reduced innate responses and increased susceptibility to secondary opportunistic infections. On the other hand, pDC exhaustion may be a compromise to avoid IFN-I driven immunopathology. In this review we reflect on the mechanisms that initially induce IFN-I and subsequently silence their production by pDCs during a viral infection. While these processes have been long studied across numerous viral infection models, the 2019 coronavirus disease (COVID-19) pandemic has brought their discussion back to the fore, and so we also discuss emerging results related to pDC-IFN-I production in the context of COVID-19.
Collapse
Affiliation(s)
| | - Elina I. Zuniga
- Division of Biological Sciences, University of California, San Diego, CA 92093, USA;
| |
Collapse
|
24
|
Xia L, Oyang L, Lin J, Tan S, Han Y, Wu N, Yi P, Tang L, Pan Q, Rao S, Liang J, Tang Y, Su M, Luo X, Yang Y, Shi Y, Wang H, Zhou Y, Liao Q. The cancer metabolic reprogramming and immune response. Mol Cancer 2021; 20:28. [PMID: 33546704 PMCID: PMC7863491 DOI: 10.1186/s12943-021-01316-8] [Citation(s) in RCA: 536] [Impact Index Per Article: 134.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 01/15/2021] [Indexed: 02/07/2023] Open
Abstract
The overlapping metabolic reprogramming of cancer and immune cells is a putative determinant of the antitumor immune response in cancer. Increased evidence suggests that cancer metabolism not only plays a crucial role in cancer signaling for sustaining tumorigenesis and survival, but also has wider implications in the regulation of antitumor immune response through both the release of metabolites and affecting the expression of immune molecules, such as lactate, PGE2, arginine, etc. Actually, this energetic interplay between tumor and immune cells leads to metabolic competition in the tumor ecosystem, limiting nutrient availability and leading to microenvironmental acidosis, which hinders immune cell function. More interestingly, metabolic reprogramming is also indispensable in the process of maintaining self and body homeostasis by various types of immune cells. At present, more and more studies pointed out that immune cell would undergo metabolic reprogramming during the process of proliferation, differentiation, and execution of effector functions, which is essential to the immune response. Herein, we discuss how metabolic reprogramming of cancer cells and immune cells regulate antitumor immune response and the possible approaches to targeting metabolic pathways in the context of anticancer immunotherapy. We also describe hypothetical combination treatments between immunotherapy and metabolic intervening that could be used to better unleash the potential of anticancer therapies.
Collapse
Affiliation(s)
- Longzheng Xia
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Linda Oyang
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Jinguan Lin
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Shiming Tan
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Yaqian Han
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Nayiyuan Wu
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Pin Yi
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China.,University of South China, 421001, Hengyang, Hunan, China
| | - Lu Tang
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China.,University of South China, 421001, Hengyang, Hunan, China
| | - Qing Pan
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China.,University of South China, 421001, Hengyang, Hunan, China
| | - Shan Rao
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Jiaxin Liang
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Yanyan Tang
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Min Su
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Xia Luo
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Yiqing Yang
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Yingrui Shi
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Hui Wang
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China
| | - Yujuan Zhou
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China.
| | - Qianjin Liao
- Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine, Hunan Cancer Hospital, Central South University, 283 Tongzipo Road, 410013, Changsha, Hunan, China.
| |
Collapse
|