scholarly journals Ginsenoside Re, Produces Multi-targeted Potent Antidiabetic Effects Via Estrogen Receptor Signaling Pathway in Rat, an Alternative Multi-Targeted Therapeutic for Type 2 Diabetes

2021 ◽  
pp. 216-236
Author(s):  
Jingxian Gao ◽  
Xianli Meng ◽  
Bayin Zabu ◽  
Yi Zhang ◽  
Siqinbilig Wu ◽  
...  
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Estrogen Receptor ◽  
Signaling Pathway ◽  
Rat Model ◽  
B Cell Lymphoma ◽  
Ginsenoside Re ◽  
Antidiabetic Effects ◽  
Targeted Therapeutic

Aims: To identify more effective ginsenoside for type 2 diabetes (T2D) and clarify whether the ginsenoside characterizing estrogenic multi-targeted antidiabetic effects. Study Design: Identifying more effective ginsenoside through preclinical evaluation of antidiabetic effects of representative ginsenosides with T2D rat model, and further test pharmacological mechanism underlying the potent antidiabetic effects of the ginsenoside in the same model. Place and Duration of Study: Key laboratory for Pharmacy, Inner Mongolia Medical University, March 2018 to November 2020. Methodology: Used a total of 240 female adult rats. Rat model of T2D induced by high-fat diet fed and streptozotocin. Five tapes of representative ginsenosides (Rb1, Rd, Rg3, Re, Rg1) administrated at low (20 mg/kg daily) and high (40 mg/ kg daily) doses to T2D rats with orally for 4 weeks. Detect testing indexes with biochemical, histological, Quantitative Real-Time PCR, and western blots analysis. Results: Ginsenoside Re (Re), very significantly lowered blood glucose (P<0.01), lipids (P<0.001), free fatty acid (P<0.001), and glucagon (P<0.01) levels, markedly improved impaired insulin sensitivity (P<0.01), ameliorated oxidative stress (P<0.01) and inflammation (P<0.01) in T2D rats, exhibited potent antidiabetic effects. Moreover, Re, phosphorylate serine/threonine kinase (Akt) (P<0.01) and endothelial nitric oxide synthase (eNOS) (P<0.01), up regulates B-cell lymphoma-2 (P<0.01) and insulin gene expression (P<0.01), down regulates glucagon gene expression(P<0.01), reverse impaired glucagon-like peptide 1 (P<0.01); exhibits multi-targeted effects; these effects of Re were inhibited by estrogen receptor (ER) inhibitor (ICI-182,780) (P<0.01). Functionally, the antidiabetic effects of Re were sequentially inhibited by inhibitor of ER, Akt, and eNOS, respectively (P<0.01). Conclusion: These findings, revealed a novel pharmacological property of Re that characterized in multi-targeted potent antidiabetic effects mediated by ER/Akt/eNOS/NO signaling pathway, provide the first evidence for the potential use of Re, as a multi-targeted therapeutic for T2D, particularly, a novel candidate for replacement of estrogen therapy and NO therapy in diabetes.

scholarly journals Role of TLR4/MyD88/NF-κB signaling in heart and liver-related complications in a rat model of type 2 diabetes mellitus

2021 ◽  
Vol 49 (3) ◽  
pp. 030006052199759
Author(s):  
Jiajia Tian ◽  
Yanyan Zhao ◽  
Lingling Wang ◽  
Lin Li
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Signaling Pathway ◽  
Rat Model ◽  
Fasting Blood Glucose ◽  
Diabetic Rats ◽  
Primary Response ◽  
Monocyte Chemoattractant Protein 1

Aims To analyze expression of members of the Toll-like receptor (TLR)4/myeloid differentiation primary response 88 (MyD88)/nuclear factor (NF)-κB signaling pathway in the heart and liver in a rat model of type 2 diabetes mellitus (T2DM). Our overall goal was to understand the underlying pathophysiological mechanisms. Methods We measured fasting blood glucose (FBG) and insulin (FINS) in a rat model of T2DM. Expression of members of the TLR4/MyD88/NF-κB signaling pathway as well as downstream cytokines was investigated. Levels of mRNA and protein were assessed using quantitative real-time polymerase chain reaction and western blotting, respectively. Protein content of tissue homogenates was assessed using enzyme-linked immunosorbent assays. Results Diabetic rats had lower body weights, higher FBG, higher FINS, and higher intraperitoneal glucose tolerance than normal rats. In addition, biochemical indicators related to heart and liver function were elevated in diabetic rats compared with normal rats. TLR4 and MyD88 were involved in the occurrence of T2DM as well as T2DM-related heart and liver complications. TLR4 caused T2DM-related heart and liver complications through activation of NF-κB. Conclusions TLR4/MyD88/NF-κB signaling induces production of tumor necrosis factor-α, interleukin-6, and monocyte chemoattractant protein-1, leading to the heart- and liver-related complications of T2DM.

scholarly journals Transcriptional Profiling and Biological Pathway(s) Analysis of Type 2 Diabetes Mellitus in a Pakistani Population

2020 ◽  
Vol 17 (16) ◽  
pp. 5866
Author(s):  
Zarish Noreen ◽  
Christopher A. Loffredo ◽  
Attya Bhatti ◽  
Jyothirmai J. Simhadri ◽  
Gail Nunlee-Bland ◽  
...  
Keyword(s):  
Gene Expression ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Mitochondrial Dysfunction ◽  
Signaling Pathway ◽  
Health Concern ◽  
Receptor Signaling ◽  
Small Pilot Study

The epidemic of type 2 diabetes mellitus (T2DM) is an important global health concern. Our earlier epidemiological investigation in Pakistan prompted us to conduct a molecular investigation to decipher the differential genetic pathways of this health condition in relation to non-diabetic controls. Our microarray studies of global gene expression were conducted on the Affymetrix platform using Human Genome U133 Plus 2.0 Array along with Ingenuity Pathway Analysis (IPA) to associate the affected genes with their canonical pathways. High-throughput qRT-PCR TaqMan Low Density Array (TLDA) was performed to validate the selected differentially expressed genes of our interest, viz., ARNT, LEPR, MYC, RRAD, CYP2D6, TP53, APOC1, APOC2, CYP1B1, SLC2A13, and SLC33A1 using a small population validation sample (n = 15 cases and their corresponding matched controls). Overall, our small pilot study revealed a discrete gene expression profile in cases compared to controls. The disease pathways included: Insulin Receptor Signaling, Type II Diabetes Mellitus Signaling, Apoptosis Signaling, Aryl Hydrocarbon Receptor Signaling, p53 Signaling, Mitochondrial Dysfunction, Chronic Myeloid Leukemia Signaling, Parkinson’s Signaling, Molecular Mechanism of Cancer, and Cell Cycle G1/S Checkpoint Regulation, GABA Receptor Signaling, Neuroinflammation Signaling Pathway, Dopamine Receptor Signaling, Sirtuin Signaling Pathway, Oxidative Phosphorylation, LXR/RXR Activation, and Mitochondrial Dysfunction, strongly consistent with the evidence from epidemiological studies. These gene fingerprints could lead to the development of biomarkers for the identification of subgroups at high risk for future disease well ahead of time, before the actual disease becomes visible.

scholarly journals Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Huijing Zhu ◽  
Xin Zhu ◽  
Yuhong Liu ◽  
Fusong Jiang ◽  
Miao Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Candidate Genes ◽  
Signaling Pathway ◽  
Bioinformatics Analysis ◽  
Kegg Pathway ◽  
Ppi Network ◽  
Kegg Pathway Analysis

Objective. The aim of this study was to identify the candidate genes in type 2 diabetes mellitus (T2DM) and explore their potential mechanisms. Methods. The gene expression profile GSE26168 was downloaded from the Gene Expression Omnibus (GEO) database. The online tool GEO2R was used to obtain differentially expressed genes (DEGs). Gene Ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were performed by using Metascape for annotation, visualization, and comprehensive discovery. The protein-protein interaction (PPI) network of DEGs was constructed by using Cytoscape software to find the candidate genes and key pathways. Results. A total of 981 DEGs were found in T2DM, including 301 upregulated genes and 680 downregulated genes. GO analyses from Metascape revealed that DEGs were significantly enriched in cell differentiation, cell adhesion, intracellular signal transduction, and regulation of protein kinase activity. KEGG pathway analysis revealed that DEGs were mainly enriched in the cAMP signaling pathway, Rap1 signaling pathway, regulation of lipolysis in adipocytes, PI3K-Akt signaling pathway, MAPK signaling pathway, and so on. On the basis of the PPI network of the DEGs, the following 6 candidate genes were identified: PIK3R1, RAC1, GNG3, GNAI1, CDC42, and ITGB1. Conclusion. Our data provide a comprehensive bioinformatics analysis of genes, functions, and pathways, which may be related to the pathogenesis of T2DM.

scholarly journals Efficacy of Arabica Versus Robusta Coffee in Improving Weight, Insulin Resistance, and Liver Steatosis in a Rat Model of Type-2 Diabetes

Nutrients ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 2074 ◽  
Author(s):  
Pedram Shokouh ◽  
Per B Jeppesen ◽  
Christine B Christiansen ◽  
Fredrik B Mellbye ◽  
Kjeld Hermansen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Rat Model ◽  
Liver Steatosis ◽  
Study Groups ◽  
Robusta Coffee ◽  
Zucker Diabetic Fatty Rats ◽  
Coffee Species

The effects of chronic coffee exposure in models of type 2 diabetes mellitus (T2D) models is scarcely studied, and the efficacy of the main coffee species has never been compared. We tested the hypothesis that long-term consumption of arabica and robusta coffee may differentially delay and affect T2D development in Zucker diabetic fatty rats. Three study groups received either chow mixed with arabica or robusta instant coffee (1.8% w/w) or unsupplemented chow food for 10 weeks. Both coffee species reduced liver triglyceride content and area under the curve of fasting and postprandial insulin. At study end, plasma adiponectin, total cholesterol and high density lipoprotein levels were higher in the robust group compared with both arabica and control groups. The liver gene expression of Glucose-6-phosphatase, catalytic subunit (G6pc) and Mechanistic target of rapamycin (mTOR) in robusta and Cpt1a in both coffee groups was downregulated. In conclusion, long-term consumption of both coffee species reduced weight gain and liver steatosis and improved insulin sensitivity in a rat model of T2D. Robusta coffee was seemingly superior to arabica coffee with respect to effects on lipid profile, adiponectin level and hepatic gene expression.

scholarly journals The Pattern of Peroxisome Proliferator-activated Receptor Gamma Coactivator 1-alpha Gene Expression in Type-2 Diabetes Mellitus Rat Model Liver: Focus on Exercise

2021 ◽  
Vol 9 (T3) ◽  
pp. 124-128
Author(s):  
Yetty Machrina ◽  
Dharma Lindarto ◽  
Yunita Sari Pane ◽  
Novita Sari Harahap
Keyword(s):  
Gene Expression ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Rat Model ◽  
Moderate Intensity ◽  
Peroxisome Proliferator ◽  
Peroxisome Proliferator Activated Receptor ◽  
Treatment Groups

BACKGROUND: Peroxisome proliferator-activated receptor gamma coactivator 1-alpha (PGC-1α) has an important role in mitochondria biogenesis which generated cellular metabolism. Carbohydrate metabolism in the liver is crucial to maintain plasma blood glucose. AIM: This research aimed to determine the expression of PGC-1α gene in the liver type-2 diabetes mellitus (T2DM) rat model, after treatment with a focus on exercise. METHODS: We used 25 healthy male Wistar rats as subjects. Rats were modified to T2DM models by feeding a high-fat diet and low-dose streptozotocin injection. We divided the rats into five groups, that is, sedentary group as a control and four others as treatment groups. The exercise was assigned for treatment groups by a run on the treadmill as moderate intensity continuous (MIC), highintensity continuous (HIC), slow interval (SI), and fast interval (FI). The treatment groups were exercise throughout 8 weeks with a frequency of 3 times a week. RESULTS: The results showed that expression of PGC-1α gene was lower in all treatment groups compared to controls (p < 0.05). Expression in HIC was higher than MIC (p < 0.05), so was the expression in FI more than SI (p < 0.05). CONCLUSIONS: Exercise affected PGC-1α gene expression in the liver of the T2DM rat model. The expression of PGC-1α was linear with exercise intensity.

scholarly journals Validation of the antidiabetic effects of Vernonia amygdalina delile leaf fractions in fortified diet-fed streptozotocin-treated rat model of type-2 diabetes

2017 ◽  
Vol 8 (3) ◽  
pp. 74 ◽  
Author(s):  
StanleyIrobekhian Reuben Okoduwa ◽  
IsmailaAlhaji Umar ◽  
DorcasBolanle James ◽  
HajiyaMairo Inuwa
Keyword(s):  
Type 2 Diabetes ◽  
Rat Model ◽  
Vernonia Amygdalina ◽  
Antidiabetic Effects

scholarly journals Effect of Lupinus rotundiflorus gamma conglutin treatment on JNK1 gene expression and protein activation in a rat model of type 2 diabetes

2021 ◽  
Vol 59 (1) ◽  
pp. 374-380
Author(s):  
Andrea Catalina Zepeda-Peña ◽  
Carmen Magdalena Gurrola-Díaz ◽  
José Alfredo Domínguez-Rosales ◽  
Pedro Macedonio García-López ◽  
Juan Carlos Pizano-Andrade ◽  
...  
Keyword(s):  
Gene Expression ◽  
Type 2 Diabetes ◽  
Rat Model ◽  
Protein Activation

scholarly journals Molecular mechanisms linking peri-implantitis and type 2 diabetes mellitus revealed by transcriptomic analysis

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e7124 ◽  
Author(s):  
Tianliang Yu ◽  
Aneesha Acharya ◽  
Nikos Mattheos ◽  
Simin Li ◽  
Dirk Ziebolz ◽  
...  
Keyword(s):  
Gene Expression ◽  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Signaling Pathway ◽  
Cross Talk ◽  
Molecular Mechanisms ◽  
Hub Genes ◽  
Ppi Networks

Aims To explore molecular mechanisms that link peri-implantitis and type 2 diabetes mellitus (T2DM) by bioinformatic analysis of publicly available experimental transcriptomic data. Materials and methods Gene expression data from peri-implantitis were downloaded from the Gene Expression Omnibus database, integrated and differentially expressed genes (DEGs) in peri-implantitis were identified. Next, experimentally validated and computationally predicted genes related to T2DM were downloaded from the DisGeNET database. Protein–protein interaction network (PPI) pairs of DEGs related to peri-implantitis and T2DM related genes were constructed, “hub” genes and overlapping DEG were determined. Functional enrichment analysis was used to identify significant shared biological processes and signaling pathways. The PPI networks were subjected to cluster and specific class analysis for identifying “leader” genes. Module network analysis of the merged PPI network identified common or cross-talk genes connecting the two networks. Results A total of 92 DEGs overlapped between peri-implantitis and T2DM datasets. Three hub genes (IL-6, NFKB1, and PIK3CG) had the highest degree in PPI networks of both peri-implantitis and T2DM. Three leader genes (PSMD10, SOS1, WASF3), eight cross-talk genes (PSMD10, PSMD6, EIF2S1, GSTP1, DNAJC3, SEC61A1, MAPT, and NME1), and one signaling pathway (IL-17 signaling) emerged as peri-implantitis and T2DM linkage mechanisms. Conclusions Exploration of available transcriptomic datasets revealed IL-6, NFKB1, and PIK3CG expression along with the IL-17 signaling pathway as top candidate molecular linkage mechanisms between peri-implantitis and T2DM.

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