SOD3 Is Secreted by Adipocytes and Mitigates High-Fat Diet-Induced Obesity, Inflammation, and Insulin Resistance

Gao, Dan; Hu, Sijun; Zheng, Xiaodong; Lin, Wilson; Gao, Jing; Chang, Ke-Wei; Zhao, Daina; Wang, Xueqiang; Zhou, Jinsong; Lu, Shemin; Griffiths, Helen R.; Liu, Jiankang

doi:10.1089/ars.2018.7628

Cited by 12 publications

(14 citation statements)

References 33 publications

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“…Signaling pathways include cytokine signaling in immune system [48], extracellular matrix organization [49], diseases of metabolism [50], hemostasis [51], innate immune system [52], metabolism of lipids [53] and metabolism [54] were linked with progression of PCOS. Altered expression of PLA2G5 [55], CASP1 [56], EDNRA (endothelin receptor type A) [57], F2RL1 [58], FOXP3 [59], DRD4 [60], COL6A3 [61], TIMP4 [62], SOCS1 [63], CD74 [64], TGFB1 [65], ATF5 [66], IRF7 [67], IRX3 [68], FOXC2 [69], STX1A [70], IL1RL1 [71], HHIP (hedgehog interacting protein) [72], ELOVL2 [73], BGN (biglycan) [74], POMC (proopiomelanocortin) [75], DOK5 [76], COL1A1 [77], POSTN (periostin) [78], SOD3 [79], ZNF423 [80], FABP5 [81], DDIT4 [82], KCTD15 [83], COL1A2 [84], MGAT2 [85], ENDOG (endonuclease G) [86], HSPA5 [87], CES1 [88], CYP19A1 [89], PLAC8 [90], CD36 [91], GIPR (gastric inhibitory polypeptide receptor) [92], ARG1 [93], MSR1 [94], DOCK2 [95], S1PR1 [96], OXTR (oxytocin receptor) [97], F11R [98], LEPR (leptin receptor) [99], AR (androgen receptor) [100], DKK3 [101], FOXO1 [102], PIK3CB [103], WWP1 [104], PHIP (pleckstrin homology domain interacting protein) [105], MPZL3 [106], FBXO2 [107], GUCY2C [108], ADRA2A [109], CHRNA5 [110], GLP2R [111], SDC3 [112], NFAT5 [113], PON2 [114], PRNP (prion protein) [115], DGKE (diacylglycerol kinase epsilon) [116], ARHGAP21 [117], COQ2 [118], EPHX2 [119] and FAM3C […”

Section: Discussionmentioning

confidence: 99%

“…Previous studies have shown that DRD4 [498], TIMP4 [499], SOCS1 [500], CD74 [501], TGFB1 [502], ACTG2 [503], ISG15 [504], HOXC8 [505], SNHG17 [506], IL1RL1 [507], BGN (biglycan) [508], SOD3 [509], ADAMTS13 [510], CYGB (cytoglobin) [511], DDIT4 [512], CYP19A1 [513], PLAC8 [514], CD36 [515], SEMA3B [516], HOXA13 [517], OXTR (oxytocin receptor) [518], TGFB2 [519], LEPR (leptin receptor) [520], CDH13 [521], AR (androgen receptor) [522], FOXO1 [523], S100A6 [524], CD46 [525], SLC23A2 [526], GNA14 [527], HLA- C [528] and NFAT5 [529] might promote adverse pregnancy outcomes in women. COL6A3 [530], SOCS1 [531], CD74 [64], IRF7 [67], FOXC2 [69], IRF9 [532], POMC (proopiomelanocortin) [533], SOD3 [79], USP18 [534], MGAT2 [85], CD36 [535], GIPR (gastric inhibitory polypeptide receptor) [536], MSR1 [94], MSX2 [537], AR (androgen receptor) [538], FOXO1 [539], PIK3CB [103], TCF4 [540], NFAT5 [113], PON2 [541], and PRNP (prion protein) [115] were found to be involved in insulin resistance. The above investigation suggest that we can provide useful information for elucidating the development mechanism of PCOS and its complications, and searching for novel therapeutic targets and biomarkers through GO and pathway enrichment analysis.…”

Section: Discussionmentioning

confidence: 99%

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The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

Vastrad¹,

Vastrad²

2023

Preprint

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Polycystic ovary syndrome (PCOS) is is associated with infertility, obesity, insulin resistance, hyperinsulinemia, type 2 diabetes mellitus, hypertension, cardiovascular problems, neurological and psychological problems and cancer. The specific mechanism of PCOS and its complications remains unclear. The aim of this study was to apply a bioinformatics approach to reveal related pathways or genes involved in the development of PCOS and its complications. The next generation squancing (NGS) datset GSE199225 was downloaded from the gene expression omnibus (GEO) database. Differentially expressed gene (DEG) analysis was performed using DESeq2. The g:Profiler was utilized to analyze the functional enrichment, gene ontology (GO) and REACTOME pathway of the differentially expressed genes. A protein-protein interaction (PPI) network was constructed and module analysis was performed using HiPPIE and cytoscape. The miRNA-hub gene regulatory network and TF-hub gene regulatory network were also constructed for research. The expression of the hub genes was validated using receiver operating characteristic (ROC) curve analysis. We have identified 957 DEGs in total, including 478 up regulated genes and 479 down regulated gene. GO and REACTOME illustrated that DEGs in PCOS were significantly enriched in regulation of molecular function, developmental process, interferon signaling and platelet activation, signaling and aggregation. Finally, through analyzing the PPI network, modules, miRNA-hub gene regulatory network and TF-hub gene regulatory network, we screened hub genes HSPA5, PLK1, RIN3, DBN1, CCDC85B, DISC1, AR, MTUS2, LYN and TCF4 by the Cytoscape software. This study uses a series of bioinformatics technologies to obtain hug genes and key pathways related to PCOS and its complications. These analysis results provide us with novel ideas for finding biomarkers and treatment methods for PCOS and its complications.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

Vastrad¹,

Vastrad²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…SOD1 which function in the cytoplasm has shown ameliorating effects against oxidative stress and IR in hepatic cells and adipose tissues (12)(13)(14). Additionally, in extracellular Cu, Zn-SOD3 has been shown negatively relationship with T2DM, metabolic syndrome and IR (15,16). Silencing SOD3 in human adipocytes cells resulted in elevating genes-related lipid metabolic pathways PPARγ and SREBP1c and caused the accumulation of triglycerides (16).…”

Section: Zinc and Oxidative Stress Insulin Resistancementioning

confidence: 99%

“…Additionally, in extracellular Cu, Zn-SOD3 has been shown negatively relationship with T2DM, metabolic syndrome and IR (15,16). Silencing SOD3 in human adipocytes cells resulted in elevating genes-related lipid metabolic pathways PPARγ and SREBP1c and caused the accumulation of triglycerides (16). Contrary, experimental studies has been suggested overexpression of the SOD gene modulates oxidative stress in islet cells in the pancreas after transplantation (17,18).…”

Section: Zinc and Oxidative Stress Insulin Resistancementioning

confidence: 99%

Impact of Zinc on Insulin Resistance and Hepatic Fat Accumulation

Fatehi¹

2023

Preprint

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Insulin signaling plays a crucial role in cellular uptake of glucose and different metabolic pathways. Impairment in cellular insulin sensitivity due to various molecular pathways leads to Insulin resistance (IR) as well as fatty liver. In this review, mechanisms by which zinc involved in decreasing IR are described, focusing on oxidative stress, inflammation, immune system, gut flora and hepatic lipophagy. This study reviews the cause of IR and highlights the role of zinc in mechanisms diminishing IR and fatty liver.

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“…Importantly, circRNAs participate in the occurrence of many kinds of tumors and regulate tumor development. Circular RNA hsa_circ_0001785 has been reported to inhibit the proliferation, migration and invasion of breast cancer cells in vitro and in vivo by sponging miR-942 to upregulate SOCS3 (suppressors of cytokine signaling 3) [3] . The circular RNA hsa_circ_0079,929 has also been validated to inhibit tumor growth in hepatocellular carcinoma [4] .…”

Section: Introductionmentioning

confidence: 99%

Circular RNA 0010117 promotes aggressive glioblastoma behavior by regulating the miRNA-6779-5p/SPEN axis

Yang¹,

Liu²,

Zhou³

et al. 2022

Translational Oncology

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SOD3 Is Secreted by Adipocytes and Mitigates High-Fat Diet-Induced Obesity, Inflammation, and Insulin Resistance

Cited by 12 publications

References 33 publications

The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

The Identification of Key Genes and Biological Pathways in Polycystic Ovary Syndrome and its Complications by Next Generation Squancing (NGS) and Bioinformatics Analysis

Impact of Zinc on Insulin Resistance and Hepatic Fat Accumulation

Circular RNA 0010117 promotes aggressive glioblastoma behavior by regulating the miRNA-6779-5p/SPEN axis

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