ISSN: 2755-0206 | Open Access

Journal of Pathology Research Reviews & Reports

Assessment of Antimicrobial, Antioxidant, Anti-inflammatory, and Anticancer Properties of Polyphenols in Ragi Plant

Author(s): Vikil Ramesh, Megha Mathur, S. Kiran, N. Rajeswari and Shashank A. Tidke*

Abstract

Background and Objectives: (Eleusine coracana) is a rich source of proteins, phytochemicals, and fibers with several health benefits. Cancer accounts for 12c/o of death worldwide, which requires superior therapeutic strategies. Polyphenols are a class of phytochemicals in plant derived compounds, that has been reported to exhibit anticancer, antioxidant, anti-inflammatory and antimicrobial properties. The objective was to investigate the binding potential of selected polyphenols against probable drug targets of various types of cancer and provide an insight on the anti-inflammatory, antioxidant, and antimicrobial properties by using molecular docking method.

Materials and Methods: Ten receptors were analyzed for anticancer, two receptors for anti- inflammatory, three receptors for antioxidant, and five receptors for antimicrobial studies. The binding competences of polyphenol towards selected targets were studied by molecular docking. Results: Affinity of polyphenols as an anticancer agent with respect specific targets viz CDKN1A, FOXO1, FGFR2, CTNNB1, and GST-PI was evident. The binding energies of docked complexes were found to be -116.56, -114.5, -110.38, -106.9, and -105.07 kcal/mol, respectively. In case of anti-inflammatory the best binding was seen in between COX-2 receptor with and COX-1 receptors. Antioxidant studies it was observed that SOD2 showed the best binding energy followed by SOD3. Followed by antimicrobial studies the best binding interaction some how were shown by IARS and PBP1a receptors.

Conclusion: Present studies revealed that polyphenols has superior interacting properties towards these cancer targets than their normal ligands and shows a strong approach to anti-inflammatory, antioxidant, and antimicrobial activity.

Introduction

Ragi (Eleusinecoracana) is well known for its higher levels of dietary fibers, carbohydrates, and health beneficial phytochemicals. Which mainly helps in decreasing the level of diabetes and obesity in the human health [1]. Epidemiological studies had stated that consumption in whole grains cereals and their products can protect and reduce the risk of cardiovascular diseases, type 2 diabetes, and a wide range of other disorders [2]. Fortification process was carried with diets and for material which are rich source of phenolic acid (like; Ragi) has shown the properties like antimutagenic, antiglycemic, and antioxidant [3]. Nutritional potential of finger millet in terms of protein and carbohydrates are comparable higher than rice, wheat, and barley. Finger millet contains 5-8c/o proteins, 1-2c/o ether, 65-75c/o carbohydrates, 15-20c/o dietary fibers, (0.48c/o) phytates, polyphenols, tannins, and (0.61c/o) trypsin inhibitor factor (shows anticancer activity) [4]. Polyphenols are a large and diverse class of compounds, which are naturally present in food plants. Phenolic (hydroxybenzene) are ubiquitous in plant foods consumed by humans and animals [5]. Polyphenols like flavonoids, tannins, and phenolic acid are present in small quantities [6]. These compounds have properties like anticancer, antioxidant, anti-inflammatory, and antimicrobial activities [7]. Compounds like Epigallocatechin, and FeruloylArabinoxylans shows the properties of anti-inflammatory, anticancer, and antioxidant activities respectively. Furthermore, we analyzed anticancer, anti-inflammatory, antioxidant, and antimicrobial receptors against these compounds. Multi receptor docking has been performed for predictive assessment and evaluation of mode of action of these compounds (polyphenols).

Materials and Methods

Location: Work has been done in Bioinformatics Lab of Biotechnology Department, Dayananda Sagar College of Engineering Bangalore.

Selection of receptors: Various receptors were chosen for this study based on their functional role and pathways.

According to the reported target sites of ligands the receptors were chosen for current studies listed in (Table 1). The three- dimensional structures of these receptors were retrieved from PDB (Protein Database) [8]. The pathways of these receptors were analysed using KEGG (Kyoto Encyclopaedia of genes and genome) pathways [9]. Various pathways were analysed which includes cervical tumor, gastric disease, colorectal tumor, endometrial tumor, thyroid tumor, oral disease, esophageal tumor, choriocarcinoma, glioma, chalangiocarcinom, prostate growth, dangerous pleural mesothelioma, synovial sarcoma, Hodgkin lymphoma, and longevity regulating pathways. Two receptors COX-1 and COX-2 have been reported for anti-inflammatory activities [10]. There receptors SOD2, SOD3, and CAT (catalase) have been reported for antioxidant activities [11]. Similarly, receptors for antimicrobial activity viz IARS, DHPS, Dd1, DHFR, and PBP1a were considered [12].

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Selection of Ligands

Structures of polyphenols (Epigallocatechin, and Feruloyl Arabinoxylans) were obtained from Chemspider database and PDB (Protein Database) [13]. The Pharmacokinetics properties of respective ligands were screened using pKCSM (Prediction of small-molecule Pharmacokinetics and toxicity) tool. The Pharmacokinetics profile of any compound defines it’s absorption, distribution, metabolism, and excretion properties [14]. Many tools are available online for predicting the pharmacokinetics and toxicity properties of a compound using it’s chemical structure or smiles, ranging from data-based approaches such as QSAR (Quantitative Structure-activity relationship), similarity searching [18],[19] and 3-dimensional QSAR [15-20].

Multi-Receptor Docking

Multi-receptor docking was performed to predict the anticancer, anti-inflammatory, antioxidant, and antimicrobial properties of the selected polyphenols (Epigallocatechin, and FeruloylArabinoxylans). Docking studies were performed by iGEMDOCK software [21]. The properties of active sites like physical and chemical properties will allow the recognition and binding of the ligand. Different conformations of docked structures were generated using the parameters (population size 200, generations 70, and solutions 10) and out of these, best confirmation were selected in terms of lowest binding energy.

Results and Discussions
Prediction of in Silico Anti-Cancer Properties of
Feruloylarabinoxylan and Epigallocatechin

Multi-receptor docking was conducted to peruse the inhibitory activity of the ligands feruloylarabinoxylan and epigallocatechin with different cancer receptors that are contemplated as plausible drug targets. On the basis of the lowest binding energy, interactive residues and number of hydrogen bond, the best docked pose of structure was selected. Feruloylarabinoxylan was seen to have the best docked poses and the highest interactive energy amongst the polyphenols. Five vital receptors that showed the best binding associations are CDN1A, FOXO1, FGFR2, CTNNB1, and GST- PI. The docked energies of receptor-ligand complex-1 were found to be -116.56, -114.5, -110.38, -106.9, and -105.07 kcal mol-1,respectively (Fig 1). Proliferating cell nuclear antigen(CDKN1A) is the driving force of several different cellular-level activity for example DNA replication, DNA repair, the over expression of this protein tends to cause prostate cancer [22,23]. The role of fork-head box protein o1 (FOXO1) in carcinogenesis was found to be basically in prostate cancer and pediatric malignant rhabdomyosarcomas [24]. Fibroblast growth factor receptor 2(FGFR2) was found to be present in breast cancer and lung cancer [25]. Over-expression of beta-catenin is seen in melanoma and leukaemia [26]. The expression of the protein Glutathione S-transferase pi gene(GST-PI) is specifically seen in gastric carcinoma [27]. The crucial interacting residues of CDN1A are LYS-13, ASN-84, ARG-146, and ARG-149. The interacting residues of FOXO1 are ARG-180, LEU-217, HIS-220, and ASN-240. For FGFR2 the important residues are PHE-492, GLN-494, ASN-549, ILE-563, and ASP-525. The interacting residues of CTNNB1 are SER-318, GLY-319, and ASN-326. For GST-PI theresidues are SER-65, ARG- 70, and ASP-94 (Fig 2). Therefore from this study it is apparent that polyphenols have vast orbit ofinhibitory activities averse to the diverse cancer receptors . The prevailing inhibitory activity and supreme pharmacokinetic facets leading to polyphenols being the ideal therapeutic drug for a variety of cancer.

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Figure 1: Molecular docking studies of polyphenols with cancer drug targets showing negative binding energy

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Figure 2 (a-e): Binding interaction of specific receptor target with feruloylarabonoxylan and epigallocatechin, (a) proliferating call nuclear antigen (CDNK1A), (b) Fork head box protein 01 (FOXO1), (c) Fibroblast growth factor receptor 2 (FGFR2), (d) Beta- catenin (CTNNB1) and (e) Glutathione S-transferase Pi gene (GST-PI)

Prediction of in Silico Anti-Inflammatory Properties of Feruloylarabinoxylan and Epigallocatechin

The docking studies of COX-1 and COX-2 proteins were done surmising the attributes of the polyphenols. Evidently polyphenols showed high interaction with the receptors. Epicallocatechin in particular was seen to have the highest interaction amongst the polyphenols. The best binding associations were of COX-2 receptor with epicallocatechin and COX-1 receptor with feruloylarabinoxylan. The respective docking energies of these complex were -115.45 and -97.23 kcal /mol (Fig 3). COX signalling is expressed in repercussion injury [28]. COX-1 and COX-2 proteins are seen to be expressed in carcinogenic pathways [29]. COX-1 and COX-2 proteins are are found in tissues, the former being found in normal tissue whereas the later being found in inflamed tissues [30]. The interacting residues of COX-1 with feruloylarabinoxylan are THR-111, ARG-114, SER-121, and BOG-754 and similarly the residues for COX-2 with epigallocatechin are HIS-30, GLN-42, ASN-43, ARG-44, CYS-47, GLN-451, and LYS-468 (Fig 4). It was therefore evident that polyphenols show supreme inhibitory properties against inflammatory disorder.

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Figure 3: Molecular docking studies of polyphenols with anti-inflammatory targets showing negative binding energy

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Figure 4(a-b): Binding interaction of specific receptor target with Epigallocatechin and feruloylarabinoxylan (a)Cytochrome C oxidase 2 (COX-2), and (b) Cytochrome C oxidase 1 (COX-1)

Prediction of in Silico Anti-Oxidant Properties of Feruloylarabinoxylan and Epigallocatechin

two main antioxidants receptors catalase, SOD2(manganese- dependant superoxide dismutase), and SOD3(extra cellular superoxide dismutase) were volunteered for the docking studies with the polyphenols feruloylarabinoxylan and epigallocatechin. Polyphenols are known to have antioxidant properties by its effect on plasma, transcription factor and enzymes [31]. Catalase plays an important part as an antioxidant enzyme [32]. Faulty functioning of catalase is capable of causes various diseases like diabetes mellitus, cardiovascular diseases, and bipolar disorder [33-35]. It also regulates the hydrogen peroxide [36]. SOD2 is that enzyme that converts superoxide to a mildly reactive hydrogen peroxide and it can plausibly cause neurodegenerative disorders like Alzheimer’s and Parkinson [37]. SOD3 is an antioxidant enzyme present in the lungs [38,39]. This protein increases the vulnerability to chronic obstructive pulmonary lung diseases [40]. From the studies it was observed that SOD2 showed the best binding energy. The docking energies of the complexes were found to be -123.05, and -103.87 kcal mol -1 respectively (Fig 5). The interacting residues of SOD2 with feruloylarabinoxylan are ARG-132, HIS-134, LYS-98, LYS 110, ARG-132, GLY- 133, and HIS-134. The residues for SOD3 with epigallocatechin are GLN-48, ARG-59, PRO-49, SER-50, and ARG- 59 (Fig 6). Therefore it is evident that SOD2 was the best antioxidant drug target followed by SOD3.

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Prediction of in Silico Anti-Microbial Properties of
Feruloylarabinoxylan and Epigallocatechin

Polyphenols surprisingly shows anti-microbial properties. For the in silico studies we used five important receptors namely IARS(isoleucyl-tRNAsynthetase), DHPS(dihydropteroate synthetase), Dd1(D alanyl-D-alanine synthetase), DHFR(Dihydrofolate reductase), and PBP1a(penicillin binding protein 1a). The best binding interaction some how were shown by IARS and PBP1a with former being docked with epigallocatechin and the later being docked with -1 feruloyl arabinoxylan with their respective docking energies being -150.82 and -117.84 kcal mol-1 (Fig 7). IARS is a protein that primarily helps in the growth of bacteria [41]. It basically decrypts the isoleucine codons [42]. Pencilin binding proteins in general helps in the biosynthesis of peptidoglycan and PBP1a the subunit is important in the development of resistance from penicillin [43]. The essential interacting residues of IARS with epigallocatechin are TRP- 21, LYS-22, LYS-25, ILE-26, PHE-27, GLU-135, ILE-137,

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Conclusion

Polyphenols is a chief component of Poaceae family which exhibit antioxidant, anti-inflammatory, anti-microbial and anti- carcinogenic activities. Present study revealed that the inhibitory properties of polyphenols against various cancer drug targets by computer aided virtual screening. This comparative study revealed that polyphenols showed better inhibitory activities against the virulent gene products of Proliferating cell nuclear antigen (CDKN1A), Fork head box protein o1 (FOXO1), Fibroblast growth factor receptor 2 (FGFR2), Beta-catenin (CTNNB1), and Glutathione S- transferase Pi gene (GST-PI) than their native ligands. COX-1 protein was successfully docked onto Epigallocatechin, and FeruloylArabinoxylans for drug interaction studies with best binding energy showing the significance of COX 1 as anti-inflammatory target by Polyphenols. Polyphenols showed best binding against SOD2 (Manganese-dependent superoxide dismutase) followed by SOD3 receptors. As similarly polyphenols showed best binding against IARS (Isoleucyl-tRNAsynthetase) antimicrobial receptor. Present data cover crucial landmarks for further studies to validate polyphenols as promising drug candidate against various cancers.

Significant Statement

The current study provide the complete knowledge on the binding potential of selected polyphenols such as Epigallocatechin, and FeruloylArabinoxylans towards the probable drug targets of various types of cancers and predict useful approaches on anti-inflammatory, antioxidant, and antimicrobial activities by computational modeling . To the best of our knowledge this is the one of the studies providing therapeutic potential of polyphenols towards priorities targets of cancers and highlighting their role as anti-inflammatory, antioxidant and antimicrobial agents. The present study provides novel insights for the selection and screening of these lead molecules as future therapeutics agents towards various types of cancers.

References

  1. Shobana S, UshaKumari SR, Malleshi NG, Ali SZ (2007) Glycemic response of rice, wheat and finger millet based diabetic food formulations in normoglycemic subjects. Int J Food Sci Nutr 58:
  2. McKeown NM (2002) Whole grain intake is favorably associated with metabolic risk factors for type 2 diabetes and cardiovascular disease in the Framingham Offspring Study. Am J Clin Nutr 76:
  3. Friedman M (1997) Chemistry, biochemistry and dietary role of potato polyphenols-a review. J Agric Food Chem 45:
  4. Thompson LU (1993) Potential health benefits and problems associated with antinutrients in foods. Food Res Int 26: 131-
  5. Ferguson LR (2001) Role of plant polyphenols in genomic stability. Mutat Res 475:
  6. Rao MVSSTS, Muralikrishna G (2001) Non-starch polysaccharides and bound phenolic acids from native and malted finger millet (ragi, Eleusinecoracana, Indaf-15). Food Chem 72:
  7. Sripriya G, Chandrasekharan K, Murty VS, Chandra TS (1996) ESR spectroscopic studies on free radical quenching action of finger millet (Eleusinecoracana). Food Chem 57:
  8. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, et al. (2006) International Tables for Crystallography Volume F: Crystallography of Biological Macromolecules, Rossmann, M.G. and E. Arnold (Eds.). Springer- Verlag, German F:
  9. Kanehisa M and Goto S (2000) KEGG: Kyoto encyclopedia of genes and genomes. Nucl. Acids Res 28:
  10. Zarghi A and S Arfaei (2011) Selective COX-2 inhibitors: A review of their structure-activity relationships. Iran J Pharm Res 10:
  11. Daisy P, Suveena S, Latha RCR (2012) Target level analysis of antioxidant activity of costunolide and eremanthin isolated from Costusspeciosus. Asian J Pharm Clin Res 5:
  12. Alves MJ, Froufe HJ, Costa AF, Santos AF, Oliveira LG, et al. (2014) Docking studies in target proteins involved in antibacterial action mechanisms: extending the knowledge on standard antibiotics to antimicrobial mushroom Molecules (Basel, Switzerland) 19:
  13. Pence HE and A Williams (2010) ChemSpider: An online chemical information resource. J Chem Educ 87:
  14. Pires DE, Blundell TL, Ascher DB (2015) pkCSM: Predicting Small-Molecule Pharmacokinetic and Toxicity Properties Using Graph-Based Signatures. Journal of medicinal chemistry 58:
  15. van de Waterbeemd H, Gifford E (2003) ADMET in silico modelling: towards prediction paradise?. Nature Rev Drug Discovery 2:
  16. Obrezanova O, Csanyi G, Gola JM, Segall MD (2007) Gaussian processes: a method for automatic QSAR modeling of ADME properties. J Chem Inf Model 47:
  17. Khan MT (2010) Predictions of the ADMET properties of candidate drug molecules utilizing different QSAR/QSPR modelling approaches. Curr Drug Metab 11:
  18. Fröhlich H, Wegner JK, Sieker F, Zell A (2006) Kernel Functions for Attributed Molecular Graphs-A New Similarity-Based Approach to ADME Prediction in Classification and Regression. QSAR Comb Sci 25:
  19. Drwal MN, Banerjee P, Dunkel M, Wettig MR, Preissner R (2014) ProTox. A web server for the in silico prediction of rodent oral toxicity. Nucleic Acids Res 42:
  20. Lill MA (2007) Multi-dimensional QSAR in drug Drug Discovery Today 12:
  21. Hsu KC, Chen YF, Lin SR, Yang JM (2011) iGEMDOCK: A graphical environment of enhancing GEMDOCK using pharmacological interactions and post-screening BMC Bioinform 12:
  22. Stoimenov I, Helleday T (2009) PCNA on the crossroad of cancer. Bio chem Soc Trans 37:
  23. Wang X, Hickey RJ, Malkas LH, Koch MO, Li L, et (2011) Elevated expression of cancer-associated proliferating cell nuclear antigen in high-grade prostatic intraepithelial neoplasia and prostate cancer. The Prostate 71:
  24. Lu, Huarui and Haojie Huang (2011) FOXO1: a potential target for human diseases. Current drug targets 12:
  25. Lei, Haipeng and Chu-Xia Deng (2017) Fibroblast Growth Factor Receptor 2 Signaling in Breast Cancer. International journal of biological sciences 13:
  26. Shang S, Hua F, Hu Z W (2017) The regulation of β-catenin activity and function in cancer: therapeutic Oncotarget 8:
  27. Qin F, Qin X, Zhang X, Jia HW, Ai Zheng (2002). Expression and Significance of P-glycoprotein, Glutathione S-transferasepi and Topoisomerase II in Gastric Carcinomas. journal of cancer
  28. Hüttemann M, Helling S, Sanderson TH, Sinkler C, Samavati L, et al. (2012) Regulation of mitochondrial respiration and apoptosis through cell signaling: cytochrome c oxidase and cytochrome c in ischemia/reperfusion injury and Biochimica et biophysicaacta 1817:
  29. Pannunzio A, Coluccia M (2018) Cyclooxygenase-1 (COX1) and COX-1 Inhibitors in Cancer: A Review of Oncology and Medicinal Chemistry Literature. Pharmaceuticals (Basel, Switzerland) 11:
  30. Seibert K, Zhang Y, Leahy K, Hauser S, Masferrer J, et (1997) Distribution of COX-1 and COX-2 in normal and inflamed tissues. Advances in experimental medicine and biology 400:
  31. Li AN, Li S, Zhang YJ, Xu XR, Chen YM, et al. (2014) Resources and biological activities of natural Nutrients 6:
  32. Nandi A, Yan LJ, Jana CK, Das N (2019) Role of Catalase in Oxidative Stress- and Age-Associated Degenerative Oxidative medicine and cellular longevity 2019: 1-1933. Góth L (1992) Two cases of acatalasemia in Hungary. Clinica Chimica Acta 207:
  33. Al-Abrash AS, Al-Quobaili FA, Al-Akhras GN (2000) Catalase evaluation in different human diseases associated with oxidative stress. Saudi Medical Journal 21:
  34. Habib LK, Lee MTC, Yang J (2010) Inhibitors of catalaseamyloid interactions protect cells from β-amyloid induced oxidative stress and toxicity. Journal of Biological Chemistry 285:
  35. Gaetani GF, Ferraris AM, Roflo M, Mangerini R, Arena S, et al. (1996) Predominant role of catalase in the disposal of hydrogen peroxide within human erythrocytes. Blood 87:
  36. Flynn JM, Melov S (2013) SOD2 in mitochondrial dysfunction and neurodegeneration. Free radical biology & medicine 62:
  37. Fattman CL, Schaefer LM, Oury TD (2003) Extracellular superoxide dismutase in biology and medicine. Free Radic Biol Med 35:
  38. Folz RJ, Crapo JD (1994) Extracellular superoxide dismutase (SOD3): tissue-specific expression, genomic characterization, and computer-assisted sequence analysis of the human EC SOD gene. Genomics 22:
  39. Ganguly K, Depner M, Fattman C, Bein K, Oury TD, et (2009) Superoxide dismutase 3, extracellular (SOD3) variants and lung function. Physiological genomics 37:
  40. Cvetesic N, Dulic M, Bilus M, Sostaric N, Lenhard B, et al. (2016) Naturally Occurring Isoleucyl- tRNASynthetase without tRNA-dependent Pre-transfer Editing. The Journal of biological chemistry 291:
  41. Schimmel P (1987) Aminoacyl tRNAsynthetases: general scheme of structure-function relationships in the polypeptides and recognition of transfer RNAs. Annual Review of Biochemistry 56:
  42. Contreras-Martel C, Job V, Di Guilmi AM, Vernet T, Dideberg O, et al. (2006) Crystal structure of penicillin- binding protein 1a (PBP1a) reveals a mutational hotspot implicated in betalactam resistance in Streptococcus pneumoniae. Journal of molecular biology 355: 684-696.
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