scholarly journals Type 2 Diabetes Mellitus Mediation by the Disruptive Activity of Environmental Toxicants on Sex Hormone Receptors: In Silico Evaluation

Toxics ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 255
Author(s):  
Franklyn Nonso Iheagwam ◽  
Joseph Kelechi Odiba ◽  
Olawumi Toyin Iheagwam ◽  
Olubanke Olujoke Ogunlana ◽  
Shalom Nwodo Chinedu
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Network Analysis ◽  
In Silico ◽  
Gene Network ◽  
Hormone Receptors ◽  
Environmental Toxicants ◽  
Gene Network Analysis

This study investigates the disruptive activity of environmental toxicants on sex hormone receptors mediating type 2 diabetes mellitus (T2DM). Toxicokinetics, gene target prediction, molecular docking, molecular dynamics, and gene network analysis were applied in silico techniques. From the results, permethrin, perfluorooctanoic acid, dichlorodiphenyltrichloroethane, O-phenylphenol, bisphenol A, and diethylstilbestrol were the active toxic compounds that could modulate androgen (AR) and estrogen-α and –β receptors (ER) to induce T2DM. Early growth response 1 (EGR1), estrogen receptor 1 (ESR1), and tumour protein 63 (TP63) were the major transcription factors, while mitogen-activated protein kinases (MAPK) and cyclin-dependent kinases (CDK) were the major kinases upregulated by these toxicants via interactions with intermediary proteins such as PTEN, AKT1, NfKβ1, SMAD3 and others in the gene network analysis to mediate T2DM. These toxicants pose a major challenge to public health; hence, monitoring their manufacture, use, and disposal should be enforced. This would ensure reduced interaction between people and these toxic chemicals, thereby reducing the incidence and prevalence of T2DM.

scholarly journals Weighted Gene Coexpression Network Analysis Identified MicroRNA Coexpression Modules and Related Pathways in Type 2 Diabetes Mellitus

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Tianyu Feng ◽  
Kexin Li ◽  
Pingping Zheng ◽  
Yanjun Wang ◽  
Yaogai Lv ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Network Analysis ◽  
Rna Sequencing ◽  
Gene Coexpression Network ◽  
Gene Coexpression ◽  
Coexpression Network Analysis

Objective. Type 2 diabetes mellitus (T2DM) is a metabolic disease with high incidence, which has seriously affected human life and health. MicroRNA, a short-chain noncoding RNA, plays an important role in T2DM. Identification of meaningful microRNA modules and the role of microRNAs provide a basis for searching potential biomarkers of T2DM. Materials and Methods. In this study, three newly diagnosed patients with T2DM and three controls were selected for Whole Peripheral Blood RNA Sequencing to establish a microRNA library. Weighted gene coexpression network analysis (WGCNA) was applied to construct coexpression modules and to detect the trait-related microRNA modules; then, KEGG enrichment analysis was performed to predict the biological function of the interest modules, and candidate hub microRNAs were screened out by the value of module membership (MM) and protein-protein interaction (PPI) network. Result. Four microRNA modules (blue, brown, magenta, and turquoise) were highly associated with the T2DM; the number of miRNAs in these modules ranged from 41 to 469. The Fc gamma R-mediated phagocytosis pathway, Rap1 signaling pathway, MAPK signaling pathway, and Lysosome pathway were common pathways in three of the four modules. RPS27A, UBC, and RAC1 were the top three proteins in our study; their corresponding RNAs were miR-1271-5p, miR-130a-3p, miR-130b-3p, and miR-574-3p. Conclusion. In summary, this study identified blood miRNAs in human T2DM using RNA sequencing. The findings may be the foundation for understanding the potential role of miRNAs in T2DM.

scholarly journals A Comparative Study of Gallic Acid, Ellagic Acid, Urolithin A, and Urolithin B with NF-κB Protein as Anti Type 2 Diabetes Mellitus by In Silico

JSMARTech ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 31-35
Author(s):  
Maulida Hikmaranti ◽  
◽  
Ajeng M. Astiyani ◽  
Khairul M. Hasanah ◽  
Nuril M. Maghfiroh ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Comparative Study ◽  
Gallic Acid ◽  
Ellagic Acid ◽  
In Silico ◽  
Urolithin A ◽  
Urolithin B

scholarly journals IN SILICO ANALYSIS OF ACTIVE CONSTITUENTS OF SILYMARIN AS ΑLPHA-GLUCOSIDASE ENZYME INHIBITORS IN TYPE 2 DIABETES MELLITUS

2019 ◽  
pp. 225-229 ◽  
Author(s):  
AHMAD ZONOUBI ◽  
PRASHANTHA CN ◽  
D VISAGA PERUMAL ◽  
ZAHRA MAFIBANIASADI
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
In Silico ◽  
Enzyme Inhibitors ◽  
In Silico Analysis ◽  
Active Constituents ◽  
Alpha Glucosidase ◽  
Silico Analysis

Objective: Type 2 diabetes mellitus (T2DM) is an acute metabolic disorder, in which the vogue is increasing persistently globally. The maltase-glucoamylase/alpha-glucosidase inhibitor is an oral antidiabetic drug collectively, which is utilizing for regulating carbohydrates that ordinarily transformed into simple sugars and absorbed by the intestine. Researchers need to constantly explore alternative therapeutic strategies for the clinical management of DM due to the increased adverse event caused by conservative antidiabetic agents. The present study proposes a substitute drug to examine the seven bioactive phytocomponents of Silybum marianum (milk thistle) that can regulate the hyperglycemia by downregulating alpha-glucosidase and its activity. Methods: Different integrated web-based in silico tools and techniques were used to model the enzyme (receptor) as well as to determine the druggability of different active constituents of silymarin and their pharmacokinetics were predicted. Further, the active site of the enzyme was predicted followed by molecular docking method. Results: The results show silychristin A and silydianin having less carcinogenicity and strong interaction to the target protein (alpha-glucosidase) compare to the reference drugs (acarbose and miglitol) and these two molecules can be used for the best drug molecules in T2DM. Conclusion: In the proposed study, the in silico analysis helps researchers to utilize these compounds for clinical applications. The conclusion also suggests that synthetically and semi-synthetically, nucleus and peripheral modifications, either in the form of skeletal rearrangements or partial degradations as well as functional group addition and replacement of the active molecules present in silymarin giving access to new structural motifs, which can be used in future as a lead compounds for antagonising the alpha-glucosidase in the treatment of diabetes mellitus.

Landscape of the relationship between type 2 diabetes and coronary heart disease through an integrated gene network analysis

Gene ◽  
2014 ◽  
Vol 539 (1) ◽  
pp. 30-36 ◽  
Author(s):  
Changzheng Dong ◽  
Linlin Tang ◽  
Zhifang Liu ◽  
Shizhong Bu ◽  
Qiong Liu ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Network Analysis ◽  
Gene Network ◽  
Gene Network Analysis ◽  
The Relationship

scholarly journals Potential compounds phenolic group sawo leaves (Manilkara zapota) as an α-amylase inhibitor in type 2 diabetes mellitus by in silico

2021 ◽  
Author(s):  
Siti Imroatul Maslikah ◽  
Rif'atul Chusnul Khuluq ◽  
Ilfia Kholifaturrohmah ◽  
Lintang Miftahul Rizki ◽  
Atikah Amalia
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
In Silico ◽  
Manilkara Zapota ◽  
Amylase Inhibitor ◽  
Phenolic Group
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