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Witayavanitkul N, Werawatganon D, Chayanupatkul M, Klaikeaw N, Siriviriyakul P. Genistein and exercise treatment reduced NASH related HDAC3, IL-13 and MMP-12 expressions in ovariectomized rats fed with high fat high fructose diet. J Tradit Complement Med 2021; 11:503-512. [PMID: 34765514 PMCID: PMC8572705 DOI: 10.1016/j.jtcme.2021.04.004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2020] [Revised: 04/07/2021] [Accepted: 04/27/2021] [Indexed: 02/01/2023] Open
Abstract
Background and aim Genistein (GEN) and exercise (Ex) may be regarded as an alternative treatment for non-alcoholic steatohepatitis (NASH). However, the mechanisms behind their therapeutic effects in NASH are not well-understood. Experimental procedure This study investigated the roles of histone deacetylase (HDAC)3 and interleukin-(IL-)13 in the NASH model of ovariectomized (OVX) rats fed with high fat high fructose (HFHF) diet. Results and conclusion Nine weeks after being fed with HFHF diet, severe NASH pathology with mild fibrosis were seen along with an increase in HDAC3, IL-13 and matrix metalloelastase (MMP-12) expressions in OVX rats. Five weeks of either GEN or Ex treatments abrogated the increase in both HDAC3 and IL-13 expressions in OVX rats fed with HFHF diet and ameliorated NASH features, liver fibrosis and MMP-12 expression. The combination of Gen and Ex, however, did not provide additional benefits on NASH features in OVX rats fed with HFHF diet. These results suggested that GEN and Ex treatments improved HFHF diet induced NASH in OVX rats through the suppression of HDAC3, IL-13 and MMP-12 expression. •Estrogen deficiency leads to NASH development. •Either genistein or exercise modulated lipid metabolism reducing steatohepatitis. •Either genistein or exercise attenuated liver fibrosis improving NASH. •Combining genistein and exercise did not provide additional benefits. •Genistein and exercise have beneficial effects in post-menopausal women with NASH.
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Key Words
- DAB, Diaminobenzidine
- DMSO, Dimethyl sulfoxide
- ELISA, Enzyme-linked immunosorbent assay
- Estrogen deficiency
- Exercise
- FFA, Free fatty acid
- Genistein
- HDAC3, histone deacetylase 3
- HFHF, High-fat high-fructose
- IL-13, Interleukin-13
- MMP-12, matrix metalloelastase 12
- NAFLD, Nonalcoholic fatty liver disease
- NASH, Nonalcoholic steatohepatitis
- Nonalcoholic steatohepatitis
- OVX, ovariectomized
- Ovariectomized
- TBA, Thiobarbituric acid-reactive substances
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Affiliation(s)
- Namthip Witayavanitkul
- Alternative and Complementary Medicine for Gastrointestinal and Liver Diseases Research Unit, Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Duangporn Werawatganon
- Alternative and Complementary Medicine for Gastrointestinal and Liver Diseases Research Unit, Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Maneerat Chayanupatkul
- Alternative and Complementary Medicine for Gastrointestinal and Liver Diseases Research Unit, Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Naruemon Klaikeaw
- Department of Pathology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
| | - Prasong Siriviriyakul
- Alternative and Complementary Medicine for Gastrointestinal and Liver Diseases Research Unit, Department of Physiology, Faculty of Medicine, Chulalongkorn University, Bangkok 10330, Thailand
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Aydemir MN, Aydemir HB, Korkmaz EM, Budak M, Cekin N, Pinarbasi E. Computationally predicted SARS-COV-2 encoded microRNAs target NFKB, JAK/STAT and TGFB signaling pathways. Gene Rep 2021; 22:101012. [PMID: 33398248 PMCID: PMC7773562 DOI: 10.1016/j.genrep.2020.101012] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2020] [Revised: 11/27/2020] [Accepted: 12/13/2020] [Indexed: 12/13/2022]
Abstract
Recently an outbreak that emerged in Wuhan, China in December 2019, spread to the whole world in a short time and killed >1,410,000 people. It was determined that a new type of beta coronavirus called severe acute respiratory disease coronavirus type 2 (SARS-CoV-2) was causative agent of this outbreak and the disease caused by the virus was named as coronavirus disease 19 (COVID19). Despite the information obtained from the viral genome structure, many aspects of the virus-host interactions during infection is still unknown. In this study we aimed to identify SARS-CoV-2 encoded microRNAs and their cellular targets. We applied a computational method to predict miRNAs encoded by SARS-CoV-2 along with their putative targets in humans. Targets of predicted miRNAs were clustered into groups based on their biological processes, molecular function, and cellular compartments using GO and PANTHER. By using KEGG pathway enrichment analysis top pathways were identified. Finally, we have constructed an integrative pathway network analysis with target genes. We identified 40 SARS-CoV-2 miRNAs and their regulated targets. Our analysis showed that targeted genes including NFKB1, NFKBIE, JAK1-2, STAT3-4, STAT5B, STAT6, SOCS1-6, IL2, IL8, IL10, IL17, TGFBR1-2, SMAD2-4, HDAC1-6 and JARID1A-C, JARID2 play important roles in NFKB, JAK/STAT and TGFB signaling pathways as well as cells' epigenetic regulation pathways. Our results may help to understand virus-host interaction and the role of viral miRNAs during SARS-CoV-2 infection. As there is no current drug and effective treatment available for COVID19, it may also help to develop new treatment strategies.
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Key Words
- ACE-2, angiotensin-converting enzyme 2
- AKT1, AKT serine/threonine kinase 1
- BCL2, BCL2 apoptosis regulator
- CDK1, cyclin dependent kinase 1
- CDKL2, cyclin dependent kinase like 2
- COVID19, new type corona virus disease
- CTNNB1, catenin beta 1
- CXCL1, C-X-C motif chemokine ligand 1
- CXCL10, C-X-C motif chemokine ligand 10
- CXCL11, C-X-C motif chemokine ligand 11
- CXCL16, C-X-C motif chemokine ligand 16
- CXCL9, C-X-C motif chemokine ligand 9
- E2F1, E2F transcription factor 1
- EIF4A1, eukaryotic translation initiation factor 4A1
- GRB2, growth factor receptor bound protein 2
- HDAC1, histone deacetylase 1
- HDAC2, histone deacetylase 2
- HDAC3, histone deacetylase 3
- HIF1A, hypoxia inducible factor 1 subunit alpha
- ICTV, International Committee on Taxonomy of Viruses
- IFNGR2, interferon gamma receptor 2
- IKBKE, inhibitor of nuclear factor kappa B kinase subunit epsilon
- IL10, interleukin 10
- IL13, interleukin 13
- IL15, interleukin 15
- IL16, interleukin 16
- IL17A, interleukin 17 A
- IL2, interleukin 2
- IL21, interleukin 21
- IL22, interleukin 22
- IL24, interleukin 24
- IL25, interleukin 25
- IL33, interleukin 33
- IL5, interleukin 5
- IL7, interleukin 7
- IL8, interleukin 8
- JAK/STAT
- JAK1, Janus kinase 1
- JAK2, Janus kinase 2
- JARID1A, lysine demethylase 5A
- JARID1B, lysine demethylase 5B
- JARID1C, lysine demethylase 5C
- JARID2, Jumonji and AT-rich interaction domain containing 2
- KEGG, Kyoto Encyclopedia of Genes and Genomes
- MAPK1, mitogen-activated protein kinase 1
- MAPK3, mitogen-activated protein kinase 3
- MAPK4, mitogen-activated protein kinase 4
- MAPK6, mitogen-activated protein kinase 6
- MAPK7, mitogen-activated protein kinase 7
- NFKB
- NFKB1, nuclear factor kappa B subunit 1
- NFKBIE, NFKB inhibitor epsilon
- NOS3, nitric oxide synthase 3
- PANTHER, protein analysis through evolutionary relationships
- PIK3CA, phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha
- PTEN, phosphatase and tensin homolog
- RB1, RB transcriptional corepressor 1
- RHOA, ras homolog family member A
- SARS-CoV-2
- SARS-CoV-2, severe acute respiratory disease coronavirus type 2
- SMAD2, SMAD family member 2
- SMAD3, SMAD family member 3
- SMAD4, SMAD family member 4
- SOCS1, suppressor of cytokine signaling 1
- SOCS3, suppressor of cytokine signaling 3
- SOCS4, suppressor of cytokine signaling 4
- SOCS5, suppressor of cytokine signaling 5
- SOCS6, suppressor of cytokine signaling 6
- SOS1, SOS Ras/Rac guanine nucleotide exchange factor 1
- SP1, Sp1 transcription factor
- STAT3, signal transducer and activator of transcription 3
- STAT4, signal transducer and activator of transcription 4
- STAT5B, signal transducer and activator of transcription 5B
- STAT6, signal transducer and activator of transcription 6
- SUMO1, small ubiquitin like modifier 1
- SUMO2, small ubiquitin like modifier 2
- TBP, TATA-box binding protein
- TGFB
- TGFBR1, transforming growth factor beta receptor 1
- TGFBR2, transforming growth factor beta receptor 2
- TMPRSS11A, transmembrane serine protease 11A
- TMPRSS4, transmembrane serine protease 4
- TNFRSF21, TNF receptor superfamily member 21
- WHO, World Health Organization
- miRNA
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Affiliation(s)
- Merve Nur Aydemir
- Department of Molecular Biology and Genetics, Faculty of Science, Sivas Cumhuriyet University, Sivas, Turkey
| | - Habes Bilal Aydemir
- Department of Molecular Biology and Genetics, Faculty of Arts and Sciences, Gaziosmanpaşa University, Tokat, Turkey
| | - Ertan Mahir Korkmaz
- Department of Molecular Biology and Genetics, Faculty of Science, Sivas Cumhuriyet University, Sivas, Turkey
| | - Mahir Budak
- Department of Molecular Biology and Genetics, Faculty of Science, Sivas Cumhuriyet University, Sivas, Turkey
| | - Nilgun Cekin
- Sivas Cumhuriyet University, Faculty of Medicine, Department of Medical Biology, 58140 Sivas, Turkey
| | - Ergun Pinarbasi
- Sivas Cumhuriyet University, Faculty of Medicine, Department of Medical Biology, 58140 Sivas, Turkey
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Abstract
Autophagy is an evolutionarily conserved process in eukaryotes that eliminates harmful components and maintains cellular homeostasis in response to a series of extracellular insults. However, these insults may trigger the downstream signaling of another prominent stress responsive pathway, the STAT3 signaling pathway, which has been implicated in multiple aspects of the autophagic process. Recent reports further indicate that different subcellular localization patterns of STAT3 affect autophagy in various ways. For example, nuclear STAT3 fine-tunes autophagy via the transcriptional regulation of several autophagy-related genes such as BCL2 family members, BECN1, PIK3C3, CTSB, CTSL, PIK3R1, HIF1A, BNIP3, and microRNAs with targets of autophagy modulators. Cytoplasmic STAT3 constitutively inhibits autophagy by sequestering EIF2AK2 as well as by interacting with other autophagy-related signaling molecules such as FOXO1 and FOXO3. Additionally, the mitochondrial translocation of STAT3 suppresses autophagy induced by oxidative stress and may effectively preserve mitochondria from being degraded by mitophagy. Understanding the role of STAT3 signaling in the regulation of autophagy may provide insight into the classic autophagy model and also into cancer therapy, especially for the emerging targeted therapy, because a series of targeted agents execute antitumor activities via blocking STAT3 signaling, which inevitably affects the autophagy pathway. Here, we review several of the representative studies and the current understanding in this particular field.
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Key Words
- ALK, anaplastic lymphoma receptor tyrosine kinase
- ATF4, activating transcription factor 4
- BNIP3, BCL2/adenovirus E1B 19kDa interacting protein 3
- CNTF, ciliary neurotrophic factor
- COX8, cytochrome c oxidase subunit VIII
- CTSB, cathepsin B
- CTSL, cathepsin L
- CYCS, cytochrome c, somatic
- ConA, concanavalin A
- CuB, cucurbitacin B
- EGF, epidermal growth factor
- EIF2A, eukaryotic initiation factor 2A, 65kDa
- EIF2AK2, eukaryotic translation initiation factor 2-α kinase 2
- ER, endoplasmic reticulum
- ETC, electron transport chain
- FOXO1/3, forkhead box O1/3
- HDAC3, histone deacetylase 3
- HIF1A, hypoxia inducible factor 1, α subunit (basic helix-loop-helix transcription factor)
- IL6, interleukin 6
- IMM, inner mitochondrial membrane
- KDR, kinase insert domain receptor
- LMP, lysosomal membrane permeabilization
- MAP1LC3A, microtubule-associated protein 1 light chain 3 α
- MAPK1, mitogen-activated protein kinase 1
- MLS, mitochondrial localization sequence
- MMP14, matrix metallopeptidase 14 (membrane-inserted)
- NDUFA13, NADH dehydrogenase (ubiquinone) 1 α subcomplex, 13
- NES, nuclear export signal
- NFKB1, nuclear factor of kappa light polypeptide gene enhancer in B-cells 1
- NLS, nuclear localization signal
- PDGFRB, platelet-derived growth factor receptor, β polypeptide
- PRKAA2, protein kinase, AMP-activated, α 2 catalytic subunit
- PTPN11, protein tyrosine phosphatase, non-receptor type 11
- PTPN2, protein tyrosine phosphatase, non-receptor type 2
- PTPN6, protein tyrosine phosphatase, non-receptor type 6
- ROS, reactive oxygen species
- RTK, receptor tyrosine kinases
- SH2, src homology 2
- STAT3
- STAT3, signal transducer and activator of transcription 3 (acute-phase response factor)
- VHL, von Hippel-Lindau tumor suppressor, E3 ubiquitin protein ligase
- XPO1, exportin 1
- autophagy
- cancer
- miRNA, microRNA
- mitoSTAT3, mitochondrial STAT3
- mitophagy
- receptor tyrosine kinases
- targeted therapy
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Affiliation(s)
- Liangkun You
- a Department of Medical Oncology; Zhejiang University ; Hangzhou , Zhejiang , China
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Jin L, Datta PK. Oncogenic STRAP functions as a novel negative regulator of E-cadherin and p21(Cip1) by modulating the transcription factor Sp1. Cell Cycle 2015; 13:3909-20. [PMID: 25483064 DOI: 10.4161/15384101.2014.973310] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
We have previously reported the identification of a novel WD-domain protein, STRAP that plays a role in maintenance of mesenchymal morphology by regulating E-cadherin and that enhances tumorigenicity partly by downregulating CDK inhibitor p21(Cip1). However, the functional mechanism of regulation of E-cadherin and p21(Cip1) by STRAP is unknown. Here, we have employed STRAP knock out and knockdown cell models (mouse embryonic fibroblast, human cancer cell lines) to show how STRAP downregulates E-cadherin and p21(Cip1) by abrogating the binding of Sp1 to its consensus binding sites. Moreover, ChIP assays suggest that STRAP recruits HDAC1 to Sp1 binding sites in p21(Cip1) promoter. Interestingly, loss of STRAP can stabilize Sp1 by repressing its ubiquitination in G1 phase, resulting in an enhanced expression of p21(Cip1) by >4.5-fold and cell cycle arrest. Using Bioinformatics and Microarray analyses, we have observed that 87% mouse genes downregulated by STRAP have conserved Sp1 binding sites. In NSCLC, the expression levels of STRAP inversely correlated with that of Sp1 (60%). These results suggest a novel mechanism of regulation of E-cadherin and p21(Cip1) by STRAP by modulating Sp1-dependent transcription, and higher expression of STRAP in lung cancer may contribute to downregulation of E-cadherin and p21(Cip1) and to tumor progression.
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Key Words
- CDK2, cyclin-dependent kinase 2
- CDK4, cyclin-dependent kinase 4
- HDAC1, histone deacetylase 1
- HDAC2, histone deacetylase 2
- HDAC3, histone deacetylase 3
- HNF4, hepatocyte nuclear factor 4
- MEF, mouse embryonic fibroblast
- NF-YA, nuclear transcription factor Y subunit alpha
- PARP, poly (ADP-ribose) polymerase
- RNase, A ribonuclease A
- RhoA, Ras homolog gene family, member A
- STRAP
- STRAP, serine threonine kinase receptor-associated protein
- SWI/SNF, SWItch/Sucrose nonfermentable
- Sp/KLF, specificity protein/Krüppel-like factor
- Sp1
- Sp1, specificity protein 1
- TSA, trichostatin A
- TSS, transcription start site
- TβR I, II, TGF-β receptor I, II
- cell cycle
- p300/CBP, p300/ CREB-binding protein
- transcription factor
- ubiquitination
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Affiliation(s)
- Lin Jin
- a Division of Hematology and Oncology; Department of Medicine; UAB Comprehensive Cancer Center; University of Alabama at Birmingham ; Birmingham , AL USA
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Ferrell JM, Chiang JY. Circadian rhythms in liver metabolism and disease. Acta Pharm Sin B 2015; 5:113-22. [PMID: 26579436 DOI: 10.1016/j.apsb.2015.01.003] [Citation(s) in RCA: 72] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2014] [Revised: 12/24/2014] [Accepted: 01/04/2015] [Indexed: 12/29/2022] Open
Abstract
Mounting research evidence demonstrates a significant negative impact of circadian disruption on human health. Shift work, chronic jet lag and sleep disturbances are associated with increased incidence of metabolic syndrome, and consequently result in obesity, type 2 diabetes and dyslipidemia. Here, these associations are reviewed with respect to liver metabolism and disease.
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Key Words
- ARC, arcuate nucleus
- BMAL1, brain and muscle ARNT-like 1
- CAR, constitutive androstane receptor
- CLOCK, circadian locomotor output cycles kaput
- CRY, cryptochrome
- CYP7A1, cholesterol 7α-hydroxylase
- CYPs, cytochrome P450 enzymes
- Circadian rhythm
- DBP, D-site binding protein
- E-box, enhance box
- EMT, emergency medical technician
- FAA, food anticipatory activity
- FASPS, familial advanced sleep-phase syndrome
- FEO, food entrainable oscillator
- FOXO3, forkhead box O3
- FXR, farnesoid-X receptor
- GLUT2, glucose transporter 2
- HDAC3, histone deacetylase 3
- HIP, hypoxia inducing protein
- HLF, hepatic leukemia factor
- LDL, low-density lipoprotein
- LRH1, liver receptor homolog 1
- Liver
- Metabolic syndrome
- NAD+, nicotinamide adenine dinucleotide
- PER, period
- RHT, retinohypothalamic tract
- RORE, ROR-response element
- RORα, retinoid-related orphan receptor α
- SCN, suprachiasmatic nucleus
- SHP, small heterodimer partner
- SIRT1, sirtuin 1
- TEF, thyrotroph embryonic factor
- TGR5, G protein-coupled bile acid receptor
- TTFL, transcriptional translational feedback loop
- Type 2 diabetes
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