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Li Y, Chen S, Liu Y, Liu P, Li S, Liu N. PI3KR1 and AKT1 in largemouth bass (Micropterus salmoides): molecular cloning, characterization, and its involvement in the alleviation of hepatic glycogen deposition caused by insulin inclusion in vitro. FISH PHYSIOLOGY AND BIOCHEMISTRY 2024:10.1007/s10695-024-01379-6. [PMID: 39150597 DOI: 10.1007/s10695-024-01379-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 07/12/2024] [Indexed: 08/17/2024]
Abstract
In this study, the full-length cDNA sequences of the phosphatidylinositol-3-kinase p85 alpha (PI3KR1) and serine/threonine kinase 1 (AKT1) genes in largemouth bass (Micropterus salmoides) were obtained using the rapid amplification of cDNA ends (RACE) method. Sequence analysis revealed that the cloned sequences of PI3KR1 and AKT1 are 4170 bp and 3672 bp in length, with open reading frames (ORFs) of 1389 bp and 1422 bp encoding 462 and 473 amino acids, respectively. Sequence alignment and evolutionary tree analysis indicated their close relationship to other teleosts, especially those with similar feeding habits. Tissue distribution demonstrated widespread distribution of both genes in various tissues, with the highest abundance in the liver. Further results found that the upregulation of the expression of p-PI3KR1, p-AKT1, p-FoxO1, and GLUT2 proteins by insulin, while suppressing the expression of the total FoxO1 protein, effectively triggers a significant activation of the PI3KR1-AKT1 insulin signaling pathway. Meanwhile, the mRNA levels of the key glycolytic genes, including glucokinase (gk), pyruvate kinase (pk), and phosphofructokinase liver type (pfkl), have been enhanced evidently. In contrast, the expression of gluconeogenic genes such as phosphoenolpyruvate carboxykinase (pepck), glucose-6-phosphatase catalytic subunit (g6pc), and fructose-1,6-bisphosphatase-1 (fbp1) has been notably down-regulated. In addition, insulin treatment promoted the phosphorylation of glycogen phosphorylase (PYGL) and the dephosphorylation of glycogen synthase (GS), and the glycogen content in the insulin-treated group was remarkably reduced compared to the control group. Overall, our study indicates that the activation of PI3KR1-AKT1 insulin signaling pathway represses the hepatic glycogen deposition via the regulation of glycolysis and gluconeogenesis, which provides some new insights into nutritional strategy to effectively regulate the glucose metabolism in carnivorous fish.
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Affiliation(s)
- Yuru Li
- International Research Centre for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China
| | - Shiwen Chen
- Research Centre of the Ministry of Agriculture and Rural Affairs On Environmental Ecology and Fish Nutrition, Shanghai Ocean University, Shanghai, 201306, China
| | - Yijun Liu
- Research Centre of the Ministry of Agriculture and Rural Affairs On Environmental Ecology and Fish Nutrition, Shanghai Ocean University, Shanghai, 201306, China
| | - Pingping Liu
- International Research Centre for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China
| | - Songlin Li
- Research Centre of the Ministry of Agriculture and Rural Affairs On Environmental Ecology and Fish Nutrition, Shanghai Ocean University, Shanghai, 201306, China.
| | - Ning Liu
- International Research Centre for Food and Health, College of Food Science and Technology, Shanghai Ocean University, Shanghai, 201306, China.
- Marine Biomedical Science and Technology Innovation Platform of Lin-Gang Special Area, Shanghai, 201306, China.
- Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai, 201306, China.
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Yu H, Chen Z, Liu Y, Shen Y, Gui L, Qiu J, Xu X, Li J. Deep sequencing identified miR-193b-3p as a positive regulator of autophagy targeting Akt3 in Ctenopharyngodon idella CIK cells during GCRV infection. FISH & SHELLFISH IMMUNOLOGY 2024; 149:109586. [PMID: 38670410 DOI: 10.1016/j.fsi.2024.109586] [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: 01/20/2024] [Revised: 04/15/2024] [Accepted: 04/24/2024] [Indexed: 04/28/2024]
Abstract
Recent research has highlighted complex and close interaction between miRNAs, autophagy, and viral infection. In this study, we observed the autophagy status in CIK cells infected with GCRV at various time points. We found that GCRV consistently induced cellar autophagy from 0 h to 12 h post infection. Subsequently, we performed deep sequencing on CIK cells infected with GCRV at 0 h and 12 h respectively, identifying 38 DEMs and predicting 9581 target genes. With the functional enrichment analyses of GO and KEGG, we identified 35 autophagy-related target genes of these DEMs, among which akt3 was pinpointed as the most central hub gene using module assay of the PPI network. Then employing the miRanda and Targetscan programs for prediction, and verification through a double fluorescent enzyme system and qPCR method, we confirmed that miR-193 b-3p could target the 3'-UTR of grass carp akt3, reducing its gene expression. Ultimately, we illustrated that grass carp miR-193 b-3p could promote autophagy in CIK cells. Above results collectively indicated that miRNAs might play a critical role in autophagy of grass carp during GCRV infection and contributed significantly to antiviral immunity by targeting autophagy-related genes. This study may provide new insights into the intricate mechanisms involved in virus, autophagy, and miRNAs.
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Affiliation(s)
- Hongyan Yu
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China
| | - Zheyan Chen
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China
| | - Yuting Liu
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China
| | - Yubang Shen
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China
| | - Lang Gui
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China
| | - Junqiang Qiu
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China
| | - Xiaoyan Xu
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, China.
| | - Jiale Li
- Key Laboratory of Freshwater Aquatic Genetic Resources Ministry of Agriculture and Rural Affairs, Shanghai Ocean University, Shanghai, China; Shanghai Engineering Research Center of Aquaculture, Shanghai Ocean University, Shanghai, China; National Demonstration Center for Experimental Fisheries Science Education, Shanghai Ocean University, Shanghai, China.
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Actis Dato V, Paz MC, Rey FE, Sánchez MC, Llorente-Cortés V, Chiabrando GA, Ceschin DG. Transcriptional analysis reveals that the intracellular lipid accumulation impairs gene expression profiles involved in insulin response-associated cardiac functionality. Sci Rep 2023; 13:8761. [PMID: 37253991 DOI: 10.1038/s41598-023-35951-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/26/2023] [Indexed: 06/01/2023] Open
Abstract
Cardiovascular disease (CVD) is a multisystemic and multicellular pathology that is generally associated with high levels of atherogenic lipoproteins in circulation. These lipoproteins tend to be retained and modified, for example, aggregated low-density lipoprotein (aggLDL), in the extracellular matrix of different tissues, such as the vascular wall and heart. The uptake of aggLDL generates a significant increase in cholesteryl ester (CE) in these tissues. We previously found that the accumulation of CE generates alterations in the insulin response in the heart. Although the insulin response is mainly associated with the uptake and metabolism of glucose, other studies have shown that insulin would fulfill functions in this tissue, such as regulating the calcium cycle and cardiac contractility. Here, we found that aggLDL induced-lipid accumulation altered the gene expression profile involved in processes essential for cardiac functionality, including insulin response and glucose uptake (Insr, Ins1, Pik3ip1, Slc2a4 gene expression), calcium cycle (Cacna1s and Gjc2 gene expression) and calcium-dependent cardiac contractility (Myh3), and cholesterol efflux (Abca1), in HL-1 cardiomyocytes. These observations were recapitulated using an in vivo model of hypercholesterolemic ApoE-KO mice. Altogether, these results may explain the deleterious effect of lipid accumulation in the myocardium, with important implications for lipid-overloaded associated CVD, including impaired insulin response, disrupted lipid metabolism, altered cardiac structure, and increased susceptibility to cardiovascular events.
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Affiliation(s)
- Virginia Actis Dato
- Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, 5000, Córdoba, Argentina
- Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), 5000, Córdoba, Argentina
| | - María C Paz
- Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, 5000, Córdoba, Argentina
- Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), 5000, Córdoba, Argentina
| | - Federico E Rey
- Department of Bacteriology, University of Wisconsin-Madison, 1550 Linden Dr., Madison, WI, 53706, USA
| | - María C Sánchez
- Departamento de Bioquímica Clínica, Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, 5000, Córdoba, Argentina
- Centro de Investigaciones en Bioquímica Clínica e Inmunología (CIBICI), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), 5000, Córdoba, Argentina
| | - Vicenta Llorente-Cortés
- Institute of Biomedical Research of Barcelona (IIBB)-Spanish National Research Council (CSIC), 08036, Barcelona, Spain
- Biomedical Research Institute Sant Pau (IIB Sant Pau), Universitat Autonoma de Barcelona, 08041, Barcelona, Spain
- CIBERCV, Institute of Health Carlos III, 28019, Madrid, Spain
| | - Gustavo A Chiabrando
- Instituto Universitario de Ciencias Biomédicas de Córdoba (IUCBC), Centro de Investigación en Medicina Traslacional "Severo R. Amuchástegui" (CIMETSA); G.V. al Instituto de Investigación Médica Mercedes y Martín Ferreyra (INIMEC-CONICET-UNC), Av. Naciones Unidas 420, Barrio Parque Vélez Sarsfield, X5016KEJ, Córdoba, Argentina.
| | - Danilo G Ceschin
- Instituto Universitario de Ciencias Biomédicas de Córdoba (IUCBC), Centro de Investigación en Medicina Traslacional "Severo R. Amuchástegui" (CIMETSA); G.V. al Instituto de Investigación Médica Mercedes y Martín Ferreyra (INIMEC-CONICET-UNC), Av. Naciones Unidas 420, Barrio Parque Vélez Sarsfield, X5016KEJ, Córdoba, Argentina.
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Dato VA, Paz MC, Rey FE, Sánchez MC, Llorente-Cortés V, Chiabrando GA, Ceschin DG. Transcriptional analysis reveals that the intracellular lipid accumulation impairs gene expression profiles involved in insulin response-associated cardiac functionality. RESEARCH SQUARE 2023:rs.3.rs-2688729. [PMID: 37066247 PMCID: PMC10104258 DOI: 10.21203/rs.3.rs-2688729/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
Cardiovascular disease (CVD) is a multisystemic and multicellular pathology that is generally associated with high levels of atherogenic lipoproteins in circulation. These lipoproteins tend to be retained and modified, for example, aggregated low-density lipoprotein (aggLDL), in the extracellular matrix of different tissues, such as the vascular wall and heart. The uptake of aggLDL generates a significant increase in cholesteryl ester (CE) in these tissues. We previously found that the accumulation of CE generates alterations in the insulin response in the heart. Although the insulin response is mainly associated with the uptake and metabolism of glucose, other studies have shown that insulin would fulfill functions in this tissue, such as regulating the calcium cycle and cardiac contractility. Here, we found that aggLDL induced-lipid accumulation altered the gene expression profile involved in processes essential for cardiac functionality, including insulin response and glucose uptake ( Insr , Ins1 , Pik3ip1 , Slc2a4 gene expression), calcium cycle ( Cacna1s and Gjc2 gene expression) and calcium-dependent cardiac contractility ( Myh3 ), and cholesterol efflux ( Abca1 ), in HL-1 cardiomyocytes. These observations were recapitulated using an in vivo model of hypercholesterolemic ApoE-KO mice. Altogether, these results may explain the deleterious effect of lipid accumulation in the myocardium, with important implications for lipid-overloaded associated CVD.
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Velasco C, Comesaña S, Conde-Sieira M, Míguez JM, Soengas JL. The short-term presence of oleate or octanoate alters the phosphorylation status of Akt, AMPK, mTOR, CREB, and FoxO1 in liver of rainbow trout ( Oncorhynchus mykiss ). Comp Biochem Physiol B Biochem Mol Biol 2018; 219-220:17-25. [DOI: 10.1016/j.cbpb.2018.03.002] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Revised: 03/06/2018] [Accepted: 03/13/2018] [Indexed: 01/11/2023]
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Wu X. Up-regulation of YPEL1 and YPEL5 and down-regulation of ITGA2 in erlotinib-treated EGFR-mutant non-small cell lung cancer: A bioinformatic analysis. Gene 2017; 643:74-82. [PMID: 29221754 DOI: 10.1016/j.gene.2017.12.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 11/17/2017] [Accepted: 12/04/2017] [Indexed: 10/18/2022]
Abstract
PURPOSE This study aimed to identify genes with significant alteration following treatment of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) with tyrosine kinase inhibitors (TKIs). METHODS We downloaded microarray data of GSE67051 from the Gene Expression Omnibus (GEO) database. Genes with differential expression were identified in two groups: erlotinib-treated versus DMSO-treated PC9 cells and erlotinib-treated versus DMSO-treated HCC827 cells. Functional enrichment analysis and protein-protein interaction (PPI) network were performed on the overlapping differentially expressed genes (DEGs). Additionally, miRNAs that can regulate the DEGs were predicted. Small-molecule drugs, with possible synergistic or antagonistic actions with respect to erlotinib, were screened; data validation using another dataset was conducted. RESULTS In total, 1466 and 839 DEGs were identified in the aforementioned comparison groups, respectively, among which 267 overlapping up-regulated and 73 down-regulated were observed. The overlapping up- and down-regulated genes were significantly associated with different functions and pathways. ITGA2 had higher centrality scores in the PPI network. Seventy small-molecule drugs, with either possible synergistic or antagonistic roles with erlotinib, were identified. Moreover, up-regulated YPEL1, YPEL2, and YPEL5 were enriched in the miRNA-target regulatory network. Implementing data validation, we found YPEL1, YPEL5, and ITGA2 displayed similar expression profiles in the two datasets. CONCLUSION YPEL1 and YPEL5 may be related to the action of erlotinib, and down-regulation of ITGA2 may be associated with the development of acquired resistance to erlotinib in EGFR-mutant NSCLCs. Furthermore, several small-molecule drugs that may have synergistic and antagonistic roles with erlotinib were identified.
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Affiliation(s)
- Xiaoli Wu
- Department of pharmacy, Huai'an First People's Hospital, Nanjing Medical University, No. 1 West Huanghe Road, Huaiyin District, Huai'an, Jiangsu 223300, China.
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