The growing smooth talk in the field of natural compounds is due to the ancient and current interest in herbal medicine and their potentially positive effects on health. Dozens of antidiabetic natural compounds were reported and tested in vivo, in silico, and in vitro. The role of these natural compounds, their actions on the insulin signaling pathway, and the stimulation of the glucose transporter-4 (GLUT4) insulin-responsive translocation to the plasma membrane (PM) are all crucial in the treatment of diabetes and insulin resistance. In this review, we collected and summarized a group of available in vivo and in vitro studies which targeted isolated phytochemicals with possible antidiabetic activity. Moreover, the in silico docking of natural compounds with some of the insulin signaling cascade key proteins is also summarized based on the current literature. In this review, hundreds of recent studies on pure natural compounds that alleviate type II diabetes mellitus (type II DM) were revised. We focused on natural compounds that could potentially regulate blood glucose and stimulate GLUT4 translocation through the phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) pathway. On attempt to point out potential new natural antidiabetic compounds, this review also focuses on natural ingredients that were shown to interact with proteins in the insulin signaling pathway in silico, regardless of their in vitro/in vivo antidiabetic activity. We invite interested researchers to test these compounds as potential novel type II DM drugs and explore their therapeutic mechanisms.

Gene Ontology (GO) is a useful resource of controlled vocabulary that provides information about annotated genes. Based on such resource, finding the biological function is useful for biologists to come up with different hypotheses and help further investigations of an experiment. The biological function for desired genes and gene associations is picked up from a randomly chosen list or through the analysis of differential gene expression. Many tools have been developed to utilize GO knowledge and cluster genes according to relevant biological functions. The retrieved GO terms include both specific and non-specific terms, which is not user-friendly in terms of data analysis. Thus one approach is still missing, which allows navigating through different levels of GO hierarchy manually. We developed a tool, GOTrapper, which allows moving up or down to the very bottom of the GO hierarchy. This is performed manually by the user, based on an assigned threshold. This tool grabs the shared terms by the desired set of input genes of Homo sapiens. Here, two inputs are possible. “Within” is to find associated terms within one gene list, and “Between” is to find associated terms between two lists. The tool also provides the option to return the terms with the pre-selected evidence codes. GOTrapper is a user-friendly Java tool that helps the user move up and down the ontology tree, which leads to new hypotheses and devising new association of the input genes. It also allows returning terms of associated genes based on selected evidence codes. This tool can be accessed and is freely available at https://github.com/BioGeneTools/GOTrapper .

Diabetes mellitus is a metabolic disease that predominates, nowadays. It causes hyperglycemia and consequently major health complications. Type II diabetes is the most common form and is a result of insulin resistance in the target tissues. To treat this disease, several mechanisms have been proposed. The most direct route is via inhibiting the intestinal enzymes, e.g., α-glucosidase and α-amylase, responsible for intestinal polysaccharide digestion that therefore would reduce the absorption of monosugars through the intestinal walls. In this study, we shed the light on this route by testing the inhibitory effect of Ocimum basilicum extract on the enzymes α-glucosidase and α-amylase in vitro and in silico. Experimental procedures were performed to test the effect of the O. basilicum methanol extract from aerial parts followed by the in silico docking. 500μg/mL of the extract led to 70.2±8.6 and 25.4±3.3 inhibition on α-glucosidase and α-amylase activity, respectively. Similarly, the effect of caffeic acid, a major extract ingredient, was also tested, and it caused 42.7±3.0 and 47.1±4.0 inhibition for α-amylase and α-glucosidase, respectively. Docking experiments were performed to predict the phytochemicals responsible for this robust inhibitory activity in the O. basilicum extracts. Several compounds have shown variable levels of inhibition, e.g., caffeic acid, pyroglutamic acid, and uvasol. The results indicated that O. basilicum can be a potent antidiabetic drug.

Noncommunicable diseases (NCDs) impose a significant burden on the health care systems in developed and developing countries. Indeed, the incidence of NCDs (e.g., diabetes, cancers, chronic respiratory diseases, and cardiovascular diseases) has increased in epidemic proportions worldwide [1]. According to estimates made by the WHO, about 41 million people die annually worldwide, equivalent to 71% of all deaths, because of NCDs. 37% of those who died with NCDs are between the ages 30 and 69 years old. Lack of access to essential medicines for NCDs is a major challenge, especially in developing countries [2, 3].

Background: Insulin is a key hormone in our systems. Upon binding of insulin to its receptors in fat and muscle tissues, tens of proteins in the insulin signaling pathway are involved in the process of GLUT4 vesicle recruitment to the Plasma Membrane (PM) and the absorption of serum glucose. Deficits in the aforementioned pathway lead to insulin resistance and eventually to Type II Diabetes Mellitus. Objective: We appreciate the contribution of phytochemicals in the treatment of diabetes. Yet, in vitro and in silico studies are needed to validate the safety and efficacy of the phytochemicals, plus their action mechanisms. Methods: Herein, we tested two phytochemicals, caffeic acid and ferulic acid in vitro and in silico. We shed light on the insulin signaling proteins as plausible therapeutic targets using in silico studies, via AutoDock and SwissADME. Results: Results obtained in vitro indicate that Caffeic Acid (CA) increased GLUT4 translocation at 125μM by 31% in the absence of insulin, and 24.5% in presence of insulin, when compared to the control. Ferulic Acid (FA) was less potent as an enhancer of GLUT4 translocation. Best docking results were found for the binding of the phytochemicals CA and FA to PDK1, AKT, IRS1 and PTEN proteins of the insulin signaling, with comparable results. Conclusion: These findings indicate that CA and FA possess a limited anti-diabetic potency by increasing GLUT4 trafficking to the PM in skeletal muscles. These results suggest that these compounds are candidates for further investigation in pre-clinical and clinical stages of drug discovery.