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Gui R, Li W, Li Z, Wang H, Wu Y, Jiao W, Zhao G, Shen Y, Wang L, Zhang J, Chen S, Hao L, Cheng Y. Effects and potential mechanisms of IGF1/IGF1R in the liver fibrosis: A review. Int J Biol Macromol 2023; 251:126263. [PMID: 37567540 DOI: 10.1016/j.ijbiomac.2023.126263] [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: 04/20/2023] [Revised: 08/07/2023] [Accepted: 08/08/2023] [Indexed: 08/13/2023]
Abstract
Liver fibrosis is a wound-healing response due to persistent liver damage and it may progress to cirrhosis and even liver cancer if no intervention is given. In the current cognition, liver fibrosis is reversible. So, it is of great significance to explore the related gene targets or biomarker for anti-fibrosis of liver. Insulin like growth factor 1 (IGF1) and IGF1 receptor (IGF1R) are mainly expressed in the liver tissues and play critical roles in the liver function. The present review summarized the role of IGF1/IGF1R and its signaling system in liver fibrosis and illustrated the potential mechanisms including DNA damage repair, cell senescence, lipid metabolism and oxidative stress that may be involved in this process according to the studies on the fibrosis of liver or other organs. In particular, the roles of IGF1 and IGF1R in DNA damage repair were elaborated, including membrane-localized and nucleus-localized IGF1R. In addition, for each of the potential mechanism in anti-fibrosis of liver, the signaling pathways of the IGF1/IGF1R mediated and the cell species in liver acted by IGF1 and IGF1R under different conditions were included. The data in this review will support for the study about the effect of IGF1/IGF1R on liver fibrosis induced by various factors, meanwhile, provide a basis for the study of liver fibrosis to focus on the communications between the different kinds of liver cells.
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Affiliation(s)
- Ruirui Gui
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Wanqiao Li
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Zhipeng Li
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Hongbin Wang
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Yuchen Wu
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Wenlin Jiao
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Gang Zhao
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Yannan Shen
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Luping Wang
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Jialu Zhang
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Sihan Chen
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China
| | - Linlin Hao
- College of Animal Science, Jilin University, Changchun, Jilin 130062, China.
| | - Yunyun Cheng
- NHC Key Laboratory of Radiobiology, College of Public Health, Jilin University, Changchun 130021, China.
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2
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Xie J, Zhao C, Sun J, Li J, Yang F, Wang J, Nie Q. Prediction of Essential Genes in Comparison States Using Machine Learning. IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS 2021; 18:1784-1792. [PMID: 32991286 DOI: 10.1109/tcbb.2020.3027392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Identifying essential genes in comparison states (EGS) is vital to understanding cell differentiation, performing drug discovery, and identifying disease causes. Here, we present a machine learning method termed Prediction of Essential Genes in Comparison States (PreEGS). To capture the alteration of the network in comparison states, PreEGS extracts topological and gene expression features of each gene in a five-dimensional vector. PreEGS also recruits a positive sample expansion method to address the problem of unbalanced positive and negative samples, which is often encountered in practical applications. Different classifiers are applied to the simulated datasets, and the PreEGS based on the random forests model (PreEGSRF) was chosen for optimal performance. PreEGSRF was then compared with six other methods, including three machine learning methods, to predict EGS in a specific state. On real datasets with four gene regulatory networks, PreEGSRF predicted five essential genes related to leukemia and five enriched KEGG pathways. Four of the predicted essential genes and all predicted pathways were consistent with previous studies and highly correlated with leukemia. With high prediction accuracy and generalization ability, PreEGSRF is broadly applicable for the discovery of disease-causing genes, driver genes for cell fate decisions, and complex biomarkers of biological systems.
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3
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Delgado-Benito V, Berruezo-Llacuna M, Altwasser R, Winkler W, Sundaravinayagam D, Balasubramanian S, Caganova M, Graf R, Rahjouei A, Henke MT, Driesner M, Keller L, Prigione A, Janz M, Akalin A, Di Virgilio M. PDGFA-associated protein 1 protects mature B lymphocytes from stress-induced cell death and promotes antibody gene diversification. J Exp Med 2021; 217:151913. [PMID: 32609329 PMCID: PMC7537392 DOI: 10.1084/jem.20200137] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2020] [Revised: 04/20/2020] [Accepted: 05/19/2020] [Indexed: 12/13/2022] Open
Abstract
The establishment of protective humoral immunity is dependent on the ability of mature B cells to undergo antibody gene diversification while adjusting to the physiological stressors induced by activation with the antigen. Mature B cells diversify their antibody genes by class switch recombination (CSR) and somatic hypermutation (SHM), which are both dependent on efficient induction of activation-induced cytidine deaminase (AID). Here, we identified PDGFA-associated protein 1 (Pdap1) as an essential regulator of cellular homeostasis in mature B cells. Pdap1 deficiency leads to sustained expression of the integrated stress response (ISR) effector activating transcription factor 4 (Atf4) and induction of the ISR transcriptional program, increased cell death, and defective AID expression. As a consequence, loss of Pdap1 reduces germinal center B cell formation and impairs CSR and SHM. Thus, Pdap1 protects mature B cells against chronic ISR activation and ensures efficient antibody diversification by promoting their survival and optimal function.
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Affiliation(s)
- Verónica Delgado-Benito
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Maria Berruezo-Llacuna
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Robert Altwasser
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Bioinformatics and Omics Data Science Technology Platform, Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Wiebke Winkler
- Laboratory of Immune Regulation and Cancer, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Laboratory of Biology of Malignant Lymphomas, Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité, University Medicine, Berlin, Germany
| | - Devakumar Sundaravinayagam
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Sandhya Balasubramanian
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Marieta Caganova
- Laboratory of Immune Regulation and Cancer, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Robin Graf
- Laboratory of Immune Regulation and Cancer, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Ali Rahjouei
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Marie-Thérèse Henke
- Laboratory of Mitochondria and Cell Fate Reprogramming, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Madlen Driesner
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Lisa Keller
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Alessandro Prigione
- Laboratory of Mitochondria and Cell Fate Reprogramming, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Heinrich Heine University, Düsseldorf, Germany
| | - Martin Janz
- Laboratory of Biology of Malignant Lymphomas, Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité, University Medicine, Berlin, Germany
| | - Altuna Akalin
- Bioinformatics and Omics Data Science Technology Platform, Berlin Institute of Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Michela Di Virgilio
- Laboratory of Genome Diversification and Integrity, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.,Charité-Universitätsmedizin Berlin, Berlin, Germany
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4
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The roles of post-translational modifications and coactivators of STAT6 signaling in tumor growth and progression. Future Med Chem 2020; 12:1945-1960. [DOI: 10.4155/fmc-2020-0224] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Signal transducers and activators of transcription 6 (STAT6) are highly expressed in various tumors and associated with tumorigenesis, immunosuppression, proliferation, metastasis and poor prognosis in human cancers. In response to IL-4/13, STAT6 is phosphorylated, dimerizes and triggers transcriptional regulation after recruitment of coactivators to transcriptosome, such as CBP/p300, SRC-1, PARP-14 and PSF. Post-translational modifications, including phosphorylation, ubiquitination, ADP-ribosylation and acetylation, have been explored for molecular mechanisms of STAT6 in tumor development and management. STAT6 has been developed as a specific biomarker for distinguishing and diagnosing tumor phenotypes, although it is observed to be frequently mutated in metastatic tumors. In this article, we focus mainly on the structural characteristics of STAT6 and its role in tumor growth and progression.
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5
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Canh NX, Giang NV, Nghia VX, Sopjani M, Ngan NTT, Hoang NH, Xuan NT. Regulation of cell activation by A20 through STAT signaling in acute lymphoblastic leukemia. J Recept Signal Transduct Res 2020; 41:331-338. [PMID: 32808859 DOI: 10.1080/10799893.2020.1808678] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
Acute lymphoblastic leukemia (ALL) is the hematologic malignancy characterized by the aberrant proliferation of immature lymphoid cells. A20 is a deubiquitinase gene that inhibits functional activation of immune cells mediated through NF-κB/STAT pathways and frequently found inactivated in lymphoma. IL-6 is a pro-inflammatory cytokine secreted by immune cells under the pathogenic conditions and regulated by STAT signaling. Little is known about the role of A20 in regulating the function of ALL blasts and underlying molecular mechanisms. The present study, therefore, explored whether A20 expression contributes to IL-6 induced cell migration and activation of myeloid cells in ALL. To this end, blood samples of thirty-five adult ALL patients were examined. Gene expression profile was determined by quantitative RT-PCR, immunophenotype by flow cytometry, secretion of inflammatory cytokines by ELISA, and cell migration by a transwell migration assay. As a result, the expression of A20 was inactivated in ALL. Immunophenotypic analysis indicated that percent of CD11b+CD40+ expressing cells present in ALL was significantly reduced when transfected with PEM-T easy A20. Importantly, IL6-induced CXCL12-mediated migration of ALL blasts was dependent on the presence of A20. The inhibitory effects of A20 on activated myeloid cells and migration of ALL blasts were mediated through the STAT pathway upon IL-6 challenge. In addition, the CA-125 level was much higher in elderly females than either young female or male ALL patients or healthy donors. In conclusion, the inhibitory effects of A20 on activation of ALL blasts are expected to affect the immune response to treatment for adult ALL patients.
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Affiliation(s)
- Nguyen Xuan Canh
- Faculty of Biotechnology, Vietnam National University of Agriculture, Hanoi, Vietnam
| | - Nguyen Van Giang
- Faculty of Biotechnology, Vietnam National University of Agriculture, Hanoi, Vietnam
| | | | - Mentor Sopjani
- Faculty of Medicine, University of Prishtina, Prishtinë, Kosova
| | - Nguyen Thi Thanh Ngan
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam.,Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Nguyen Huy Hoang
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam.,Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
| | - Nguyen Thi Xuan
- Institute of Genome Research, Vietnam Academy of Science and Technology, Hanoi, Vietnam.,Graduate University of Science and Technology, Vietnam Academy of Science and Technology, Ha Noi, Vietnam
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6
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Ramaswamy P, Goswami K, Dalavaikodihalli Nanjaiah N, Srinivas D, Prasad C. TNF-α mediated MEK-ERK signaling in invasion with putative network involving NF-κB and STAT-6: a new perspective in glioma. Cell Biol Int 2019; 43:1257-1266. [PMID: 30839135 DOI: 10.1002/cbin.11125] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Accepted: 03/02/2019] [Indexed: 12/22/2022]
Abstract
Glioblastoma is the most common malignant primary brain tumor with poor prognosis. Invasion involves pro-inflammatory cytokines and major signaling hubs. Tumor necrosis factor-α (TNF-α) acts as a master switch in establishing an intricate link between inflammation and cancer. The present study attempted to explore the possible implication of MAPK extracellular signaling-regulated kinase kinase (MEK)-extracellular signaling-regulated kinase (ERK) signaling pathway and expression of nuclear factor-κB (NF-κB), signal transducers and activators of transcription-6 (STAT-6), ERK, and phosphorylated-ERK (p-ERK) signaling proteins in TNF-α microenvironment. U0126 and PD98059 were used to inhibit the MEK-ERK1/2 pathway. TNF-α stimulation enhanced invasion in U87MG, U251MG and patient-derived primary glioma cells, whereas cell viability was not altered. Matrix metalloproteinase-2 (MMP-2) activity was increased only in U251MG glioma cells. These data suggest that TNF-α microenvironment plays an important role in the invasion of U251MG, U87MG, and patient-derived primary glioma cells, without any cytotoxic effect. The MMP-2 activity is differentially regulated by TNF-α stimulation in these cells. TNF-α stimulation upregulated the protein expression of ERK-1, ERK-2 and also increased the level of p-ERK1/2. TNF-α stimulation further upregulated the expression of NF-κB1, STAT-6 in tandem with Ras-MEK signaling system in U87MG cells, which emphasized the possible involvement of these signaling hubs in the glioma microenvironment. MEK-ERK inhibitors significantly attenuated the invasion of U87MG cells mediated by the TNF-α stimulation, probably through their inhibitory impact on p-ERK1/2 and ERK-2. This study provides the possible rationale of invasion by glioma cells in a TNF-α-induced pro-inflammatory milieu, which involves direct role of MEK-ERK signaling, with possible implication of NF-κB and STAT-6.
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Affiliation(s)
- Palaniswamy Ramaswamy
- Department of Neurochemistry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, 560029, India
| | - Kalyan Goswami
- Department of Biochemistry, All India Institute of Medical Sciences (AIIMS), Raipur, 492099, India
| | | | - Dwarakanath Srinivas
- Department of Neurosurgery, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, 560029, India
| | - Chandrajit Prasad
- Department of Neuroimaging and Intervention Radiology, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, 560029, India
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7
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Codini M, Conte C, Cataldi S, Arcuri C, Lazzarini A, Ceccarini MR, Patria F, Floridi A, Mecca C, Ambesi-Impiombato FS, Beccari T, Curcio F, Albi E. Nuclear Lipid Microdomains Regulate Daunorubicin Resistance in Hepatoma Cells. Int J Mol Sci 2018; 19:ijms19113424. [PMID: 30388783 PMCID: PMC6274808 DOI: 10.3390/ijms19113424] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Revised: 10/26/2018] [Accepted: 10/29/2018] [Indexed: 12/26/2022] Open
Abstract
Daunorubicin is an anticancer drug, and cholesterol is involved in cancer progression, but their relationship has not been defined. In this study, we developed a novel experimental model that utilizes daunorubicin, cholesterol, and daunorubicin plus cholesterol in the same cells (H35) to search for the role of nuclear lipid microdomains, rich in cholesterol and sphingomyelin, in drug resistance. We find that the daunorubicin induces perturbation of nuclear lipid microdomains, localized in the inner nuclear membrane, where active chromatin is anchored. As changes of sphingomyelin species in nuclear lipid microdomains depend on neutral sphingomyelinase activity, we extended our studies to investigate whether the enzyme is modulated by daunorubicin. Indeed the drug stimulated the sphingomyelinase activity that induced reduction of saturated long chain fatty acid sphingomyelin species in nuclear lipid microdomains. Incubation of untreated-drug cells with high levels of cholesterol resulted in the inhibition of sphingomyelinase activity with increased saturated fatty acid sphingomyelin species. In daunodubicin-treated cells, incubation with cholesterol reversed the action of the drug by acting via neutral sphingomyelinase. In conclusion, we suggest that cholesterol and sphingomyelin-forming nuclear lipid microdomains are involved in the drug resistance.
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Affiliation(s)
- Michela Codini
- Department of Pharmaceutical Sciences, University of Perugia, 06126 Perugia, Italy.
| | - Carmela Conte
- Department of Pharmaceutical Sciences, University of Perugia, 06126 Perugia, Italy.
| | - Samuela Cataldi
- Department of Pharmaceutical Sciences, University of Perugia, 06126 Perugia, Italy.
| | - Cataldo Arcuri
- Department of Experimental Medicine, University of Perugia, 06126 Perugia, Italy.
| | - Andrea Lazzarini
- Laboratory of Nuclear Lipid BioPathology, CRABiON, 06122 Perugia, Italy.
| | | | - Federica Patria
- Department of Pharmaceutical Sciences, University of Perugia, 06126 Perugia, Italy.
| | - Alessandro Floridi
- Laboratory of Nuclear Lipid BioPathology, CRABiON, 06122 Perugia, Italy.
| | - Carmen Mecca
- Department of Experimental Medicine, University of Perugia, 06126 Perugia, Italy.
| | | | - Tommaso Beccari
- Department of Pharmaceutical Sciences, University of Perugia, 06126 Perugia, Italy.
| | - Francesco Curcio
- Dipartimento di Area Medica, University of Udine, 33100 Udine, Italy.
| | - Elisabetta Albi
- Department of Experimental Medicine, University of Perugia, 06126 Perugia, Italy.
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