Table of Contents  
RESEARCH PAPER
Year : 2012  |  Volume : 3  |  Issue : 1  |  Page : 20-25  

Secondary metabolites of Cynodon dactylon as an antagonist to angiotensin II type1 receptor: Novel in silico drug targeting approach for diabetic retinopathy


Department of Biochemistry, Bharathi Women's College, Chennai, Tamil Nadu, India

Date of Web Publication3-Feb-2012

Correspondence Address:
K Vijayalakshmi
Department of Biochemistry, Bharathi Women's College, Chennai- 600 108, Tamil Nadu
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0976-500X.92497

Rights and Permissions
   Abstract 

Objectives: To study the ability of the secondary metabolites of Cynodon dactylon to serve as an antagonist to angiotensin II type 1 receptor (AT 1 ); activation of this receptor plays a vital role in diabetic retinopathy (DR). Materials and Methods: In silico methods are mainly harnessed to reduce time, cost and risk associated with drug discovery. Twenty-four compounds were identified as the secondary metabolites of hydroalcoholic extract of C. dactylon using the GCMS technique. These were considered as the ligands or inhibitors that would serve as an antagonist to the AT 1 . The ACD/Chemsketch tool was used to generate 3D structures of the ligands. A molecular file format converter tool was used to convert the generated data to the PDB format (Protein Data Bank) and was used for docking studies. The AT 1 structure was retrieved from the Swissprot data base and PDB and visualized using the Rasmol tool. Domain analysis was carried from the Pfam data base; following this, the active site of the target protein was identified using a Q-site finder tool. The ability of the ligands to bind with the active site of AT 1 was studied using the Autodocking tool. The docking results were analyzed using the WebLab viewer tool. Results: Sixteen ligands showed effective binding with the target protein; diazoprogesteron, didodecyl phthalate, and 9,12-octadecadienoyl chloride (z,z) may be considered as compounds that could be used to bind with the active site sequence of AT 1 . Conclusions: The present study shows that the metabolites of C. dactylon could serve as a natural antagonist to AT 1 that could be used to treat diabetic retinopathy.

Keywords: Angiotensin II type 1 receptor, Cynodon dactylon, diabetic retinopathy, in silico analysis


How to cite this article:
Jananie R K, Priya V, Vijayalakshmi K. Secondary metabolites of Cynodon dactylon as an antagonist to angiotensin II type1 receptor: Novel in silico drug targeting approach for diabetic retinopathy. J Pharmacol Pharmacother 2012;3:20-5

How to cite this URL:
Jananie R K, Priya V, Vijayalakshmi K. Secondary metabolites of Cynodon dactylon as an antagonist to angiotensin II type1 receptor: Novel in silico drug targeting approach for diabetic retinopathy. J Pharmacol Pharmacother [serial online] 2012 [cited 2019 Oct 18];3:20-5. Available from: http://www.jpharmacol.com/text.asp?2012/3/1/20/92497


   Introduction Top


Diabetic retinopathy is a common and progressive microangiopathic complication of diabetes mellitus and a major cause of vision loss and blindness in working age adults worldwide. The predominant cause of vision loss in diabetic patients results primarily from intraocular angiogenesis (proliferative diabetic retinopathy - PDR) and leakage of retinal vessels (diabetic macular edema - DME). These ocular lesions develop and progress despite advances in laser photocoagulation, vitrectomy, and other accessible medical approaches including intensified glycemic control. [1]

The renin--angiotensin system (RAS) is primarily involved in blood pressure regulation and fluid homeostasis. But recently it has been recognized as more than a circulating hormone system in some organs like pancreas, adipose, skeletal and liver [2] which have their own RAS with distinct functions. RAS is also a causative factor in diabetic microvascular complications including vasoconstriction, inflammation, oxidative stress, cell hypertrophy, proliferation, angiogenesis, and fibrosis. [3] Angiotensin II (Ang II) is a critical active peptide of RAS formed from angiotensin I in a reaction catalyzed by the angiotensin converting enzyme (ACE). Ang II is an antagonist to angiotensin II type 1 receptor (AT 1 ); binding of Ang II to AT 1 leads to organ damage via the activation of the vascular endothelial growth factor (VEGF), intercellular adhesion molecule-1 (ICAM)-1, transforming growth factor (TGF-B1), plasminogen activator inhibitor 1(PAI-1), fibronection, production of reactive oxygen species (ROS), leading to matrix accumulation, fibrosis, vascular dysfunction, and organ failure. [4]

ACE inhibitors result in tight control of blood pressure and significant suppression and progression of DR but also have the potential risk of hypotension in a large number of normotensive patients. It is therefore considered to be an alternative and novel therapeutic target to control AT 1 , using AT 1 receptor blockers (ARBs). Extensive clinical studies have demonstrated that an AT 1 receptor blockade has reduced the occurrence of type 2 diabetes in "high risk patients" by 25%, where preservation of β cell function or improvement of insulin sensitivity is suggested to be the protective mechanism. This finding prompted the investigation into a possible novel role of Ang II in type 2 diabetes and brought new insights into clinical implications. The major components of RAS and angiotensin II type 1 receptor (AT 1 ) have been identified in the retina of human and in ocular tissues of rodents. [3] Activation of AT 1 expressed on retinal endothelial cells and pericytes has been implicated in contributing to the microvascular abnormalities in diabetic retinopathy. [5] It has been demonstrated that the administration of ARB inhibited diabetes-induced retinal expression of intercellular adhesion molecule-1 (ICAM)-1 and VEGF and also the cellular and molecular inflammatory parameters in the diabetic retina. These data significantly reveal the contribution of AT 1 in diabetic retinopathy, providing a mechanistic reason for targeting AT 1 in the treatment of diabetic retinopathy. [6]

Since ancient time plants and plant extracts have been used to combat diabetes. Cynodon dactylon (L.) Pers. (family - Poaceae), which is commonly known as Bermuda grass or Durva in Hindi is traditionally used for diabetes. [7] The juice of the plant is astringent and is applied externally to fresh cuts and wounds. It is used in the treatment of catarrhal opthalmia, hysteria, epilepsy, insanity, chronic diarrhea, and dysentery. The plant is a folk remedy for anasarea, calcus, carbuncles, cough, hypertension, snake bites, gout, and rheumatic affections. [8] The secondary metabolite of this plant was identified by GCMS and 24 compounds were identified using the data base of National Institute Standard and Technique (NIST). [9]

The emergence of bioinformatics has provided a platform to explore diseases at their molecular level using computational techniques. In the present study an in silico approach has been carried out to study the inhibitory effect of the secondary metabolites of C. dactylon on AT 1 receptor and to study the affinity of these ligands using various bioinformatics tools.


   Materials and Methods Top


Preparation of ligands

The hydroalcoholic extract of C dactylon was analyzed using the GCMS technique and the compounds in it were identified using NIST. These secondary metabolites were used as ligands for this study. The two-dimensional structures of these ligands were generated using the ACD/ChemSketch tool. This software contains tools for 2D cleaning, 3D optimization, and viewing. These data are saved as a molecular format file (MDL MOL format). The molecular format converter tool ( http://www.webqc.org/molecularformatsconverter.php ) is used to convert this file into the Protein Data Bank format and is used during docking analysis.

Retrieval of target protein sequence

The protein sequence for the angiotensin II type 1 receptor (AT 1 ) was obtained from the protein sequence data base of Uniprot ( http://www.uniprot.org/uniprot/p30556 ). It was ascertained that the three-dimensional structure of AT 1 was available in the PDB data base. The structure was visualized using the Rasmol Tool.

Domain analysis

Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many protein domains. Pfam deals with multiple domain proteins. Pfam families match 75% of protein sequences in Swiss-Prot and TrEMBL (and 53% of all residues). The functional analysis of AT 1 was predicted using the Pfam data base ( http://www.pfam.sanger.ac.uk/ )

Active site prediction

After obtaining the 3D structure, the possible binding sites of AT 1 were searched using Q-site finder ( http://www.modelling.leeds.ac.uk./qsitefinder/ ). Ten binding sites were obtained of which the first site is usually taken as the active site for docking analysis since it is the most conserved region.

Docking the inhibitors with the active site of the angiotensin II type 1 receptor (AT 1 )

Totally 24 ligands were docked with AT 1 using the Lamarckin genitic algorithm (LGA) provided by the AutoDock Program, Version 3.0 ( http://www.autodock.scripps.edu/ ). Polar hydrogen was added to the receptor and Kollaman charges were assigned and salvation parameters were added with "Addsol" option in AutoDock. For the inhibitors, charges of the Gasteiger type were assigned. The internal degree of freedom and torsion were defined using the "Ligand Torsions" menu option of AutoDock. The grid maps representing the protein were calculated using the "AutoGrid" option. The protein was centered on the geometric center prior to docking. Docking stimulations were carried out with an initial population of 50 individuals and a maximum of 25,000 energy evaluations were used as the docking parameters for obtaining the final docking structures. In addition to returning the docked structure, AutoDock also calculates an affinity contrast for each ligand-receptor configuration. The best ligand-receptor structure from the docked structures was chosen based on the lowest energy and minimal solvent accessibility of the ligand. The docking results were analyzed using the WebLab viewer tool.

Lipinski drug filter analysis

The ligands used in the present study were subjected to Lipinski rule screening using the tool Lipinski Drug Filter of the Supercomputing Facility for Bioinformatics and Computational Biology ( http://www.scfbioiitd.res.in/utlity/lipinskifilter.jsp ) according to which prediction of a high probability of success or failure is based on drug likeness for molecules complying with two or more of the rules namely molecular weight less than 500 Dalton, high lipophilicity (expressed as Log P less than 5), less than 5 hydrogen bond donors, less than 10 hydrogen bond acceptors, and polar surface area between 0.0 and 150 Angstroms.


   Results Top


The structures of the ligands were drawn using the ACD/ChemSketck tool and converted into the PDB format using a molecular converter tool. [Table 1] shows the compounds used as ligands for this study. The sequence of the angiotensin II type 1 receptor was retrieved from the Swissprot data base (Swissprot ID: P30556). The 3D structure of AT 1 (PDB ID: 1ZVO B chain) was downloaded from the PDB data base and visualized using the Rasmol tool as shown in [Figure 1]. The functional region of AT 1 predicted from Pfam was identified as 7 transmembrane receptor 7tm_1 (region 45-302), a single domain region, which belongs to the rhodopsin family. The possible active sites of AT 1 were identified using the Q-site finder, which produced 10 binding sites of these site 1, was considered highly conserved, and chosen as the most favorable site for docking analysis. [Figure 2] shows the AT 1 protein with the active site and its residues. Out of the 24 ligands which were AutoDocked with the AT 1 receptor, only 16 compounds were able to form hydrogen bonds with the active site of target protein AT 1 . The final docked conformation obtained for the different inhibitors was evaluated based on the number of hydrogen bonds formed and their docking scores [Table 2]. Some of the docked configurations (AT 1 complex with the ligands) are shown in [Figure 3]. The key interacting sites of AT 1 are HD21 of Asn (asparagine) 298; OD2, of Asp (aspartic acid) 74; OD1, ND2, HD22 of Asn (asparagine) 46; O, HD22, ND2 of Asn (asparagine) 295; O of Ile (isoleucine) 242; O of Leu (leucine) 122; HD21 of Asn (asparagine) 298; O of Val (valine) 41; O of Gly (glycine) 42; NE1 of Trp (tryptophan) 253; OD1, O, H of Asn 294; OH of Tyr (tyrosine) 113. The result of Lipinski's rule suggests the analyzed compounds as the best therapeutic drug [Table 3]. In the present study, 16 compounds were able to form hydrogen bonds with the angiotensin II type 1 receptor and satisfied more than two rules predicting a high probability of success to show drug likeliness. Didodecyl phthalate satisfied three rules. Linoleic acid ethyl ester, 9,12-octadecadienoyl chloride(z,z)-, hexadecanoic acid 2-hydroxy-1-[hydroxymethyl]ethyl ester, 13-tetradece-11-yn-l-ol, 9,12-octadecanoic acid satisfied four rules, and rest of the compounds satisfied all the five rules.
Figure 1: Three-dimensional structure of angiotensin II type 1 receptor, 3D structure of angiotensin II type-1 receptor in cartoon model visualized using Rasmol (pink color indicates Helices, Yellow color indicates Strands and White and blue color indicates turns)

Click here to view
Figure 2: Q -site finder, angiotensin II type-1 receptor showing its active sites in blue color and pink color indicates protein, Active site sequence: Val41,Gly42,Phe44,Gly45,Asn46,Val49,Leu67,Leu70,Al a71,Asp74,Phe77,Leu78,Leu112, Tyr113,Ser115,Val116,Leu119,L eu122,Phe204,Phe208,Ile242,Ile245,Val246,Phe248, Phe249,Ser2 52,Trp253,His256,Gln257,Thr260,Asn294,Asn295,Cys296,Leu29,A sn298, Pro299, Tyr302

Click here to view
Figure 3: Docked configuration of AT1 receptor with the ligands and the hydrogen bonds between the active site of AT1 receptor and the ligands as deciphered using WebLab viewers

Click here to view
Table 1: Compounds present in the extract of Cynodon dactylon identified using GCMS analysis

Click here to view
Table 2: Docking score and number of hydrogen bonds formed between angiotensin II type 1 receptor with various inhibitors

Click here to view
Table 3: Results of Lipinski's drug filter analysis

Click here to view



   Discussion Top


The results of the present study revealed that 16 ligands displayed a good docking score and drug likeliness. In general the lead compound is selected based on the least docking score, the number of hydrogen bonds formed with the target protein. That compound should also satisfy the maximum Lipinski rule. Among the 16 compounds linoleic acid ethyl ester had the least docking score of −10.40 kcal/mol but formed only four hydrogen bonds with angiotensin II type 1 receptor and satisfied only four Lipinski rules. Glycerin formed seven hydrogen bonds with AT 1 which was the maximum among the compounds analyzed but its docking score was −4.05 kcal/mol. The docking score of ethyl à-d-glucopyranoside was −7.33 kcal/mol, and it formed six hydrogen bonds with the target protein and also satisfied the entire five Lipinski rules.

According to a survey of literature, pressor doses of Ang II inhibited insulin release and enhanced insulin sensitivity in healthy subjects. [10] It is proved that chronic stimulation of Ang II signaling could act through AT 1 to trigger beta cell apoptosis, inhibition of insulin release, and dysfunction mediated by oxidative stress. [11] Blockade of Ang II signaling by AT 1 receptor blockers (ARB) improved beta cell function and glucose tolerance in a mouse model of type 2 diabetes. [12] ARB significantly prevents diabetes-induced oxidative damage and also acts as a protective agent against diabetes-induced cellular damage. [13] The compounds present in the hydroalcoholic extract of C. dactylon showed significant binding with the angiotensin II type 1 receptor in the present study, suggesting that these secondary metabolites could be used as a natural source of ARBs.

Expression and production of Ang II and AT 1 were upregulated in the retina of diabetic induced animal models. Retinal vasculature was suppressed by blocking AT 1 signaling. Recent clinical laboratory data revealed the elevated levels of Ang II in the vitreous samples from patients with proliferative diabetic retinopathy and diabetic macular edema. [6] The hydroalcoholic extract of C. dactylon was given orally to Wistar rats induced with diabetes for a period of 20 weeks and many biochemical parameters were studied. Histopathological studies showed no changes in the retina in the treated group. While in the untreated group, retinal edema and neovascularization were observed (unpublished data already sent for publication). These findings reveal that the extract prevented the complications arising out of DR. The high concentration of the target protein in the vitreous of DR patients could be suppressed via the inhibitory effect of compounds present in C. dactylon. Since the molecular weight of these compounds is low, they can easily pass the retinal blood barrier to reach the vitreous. Blocking of Ang II signaling via AT 1 showed a suppressive effect on retinal neovascularization and retinal inflammation. The present data indicate AT 1 blockade as a possible therapeutic strategy for preventing diabetic retinopathy. Valsartan (Val), Candesartan (Cand), Losartan (Lo), and Olmesartan (Olm) are drugs of the sartan family which are currently used as ARBs; their effectiveness in therapy differs. This may be related to their binding strength. Valsartan interacts with the residues of Ser 105, Ser 109 of transmembrane (TM) 3, Lys199 TM 5, and Asn 295 TM 7 with a docking score of −12.24 kcal/mol. Olmesartan interacts with Try113 TM 3 and His 256 TM 6 [14] Candesartan with Lys199 TM 5, Asn 295 TM 7, Ser 109 TM 3, and Gln 257 TM 6. Losartan binds with Asn 295 TM 7 and Ser 109 TM 3. Binding sites of these drugs lie between TM 3, 5, 6, and 7 of the AT 1 receptor. [15] Movement of TM3 is known to be responsible for an initial step in the activation of the AT 1 receptor. [16] Binding to TM6 is also essential in AT 1 antagonist studies as in Olmesartan and Candesartan. Losartan and Cadesartan also bind to Ans 295 in TM 7.

In the present study diazoprogesteron binds to Try 113 of TM 3, like Olmesartan and Asn295, Asn 294 of TM 7 as in Candesartan and Losartan with a free energy (Docking score) of −9.55.

Didodecyl phthalate binds to Try 253 of TM 6 as in Candesartan and Olmesartan with a free energy of −12.97. 9, 12-octadecadienoyl chloride(z,z) has a free energy of −10.62 and interacts with Leu 112 of TM 3. Valsartan, Candesartan, Losartan, and Olmesartan all these drugs also interact with transmembrane 3. The present in silico analysis revealed that diazoprogesteron, didodecyl phthalate, and 9,12-octadecadienoyl chloride(z,z) may be used as natural antagonist to AT 1 receptors. The results are computational analysis of the compounds in the extract which act as inhibitors to AT 1 but however to confirm these results in vivo studies can be carried out to prove the efficacy of these compounds.


   Conclusion Top


The interaction of compounds diazoprogesteron, didodecyl phthalate, and 9, 12-octadecadienoyl chloride(z,z) with angiotensin II type 1 receptor is similar to that of the commercial drugs used as angiotensin receptor blockers (ARBs) and can also be used to treat diabetic retinopathy. Crude extracts are used in Indian medicine, so that the effect of the drug may be due to the synergistic activity of the compounds present in them. From the present in silico analysis, it could be inferred that the secondary metabolites of C. dactylon are capable of interacting with many active sites of the target protein and may serve as a natural source of ARBs and a natural therapeutic agent in treating diseases and complication including diabetic retinopathy that arise due to the signaling of angiotensin II. However, further studies have to be carried out to isolate these compounds present in the extract which can act as inhibitors to angiotensin II type 1 receptors and studied in diabetes induced retinopathy rat models to confirm the efficacy of C. dactylon extract.

 
   References Top

1.Moss SE, Klein R, Klein BE. The 14- year incidence of visual loss in a diabetic population. Ophthalmology 1998;105:998-1003.  Back to cited text no. 1
    
2.Chu KY, Leung PS. Angiotensin II in type 2 diabetes mellitus. Curr Protein Pept Sci 2009;10:75-84.  Back to cited text no. 2
    
3.Wilkinson-Berka JL. Angiotensin and Diabetic Retinopathy. Inter J Biochem Cell Biol 2006;38:752-65.  Back to cited text no. 3
    
4.Wilkinson-Berka JL, Duncan J, Campbell. (Pro) renin receptor: A treatment target for Diabetic Retinopathy? Diabetes 2009;58:1485-87.  Back to cited text no. 4
    
5.Clermont A, Bursell SE, Feener EP. Role of the Angiotensin II Type 1 receptor in the pathogenesis of Diabetic Retinopathy effect of blood pressure control and beyond. J Hypertens Suppl 2006;24:573-80.  Back to cited text no. 5
    
6.Nagai N, Izumi-Nagai K, Oike Y, Koto T, Satofuka S, Ozawa Y, et al. Suppression of diabetes -induced retinal inflammation by blocking the angiotensin II type 1 receptor or its downstream nuclear factor- kappa B pathway. Invest Ophthalmol Vis Sci 2007;48:4342-50.  Back to cited text no. 6
    
7.Kirtikar KK, Basu BD. Indian Medicinal Plants. India: Lalit Mohan Publication; 1980. p. 2650.  Back to cited text no. 7
    
8.Chopra RN, Nayer SL, Chopra IC. Glossary of Indian Medicinal Plants. CSIR, New Delhi: Publication and Information Directorate; 1999. p. 88.  Back to cited text no. 8
    
9.Jananie RK, Priya V, Vijayalakshmi K. Determination of bioactive components of Cynodon dactylon by GCMS analysis. NY Sci J 2011;4:16-20.  Back to cited text no. 9
    
10.Townsend RR, Di Pette DJ. Pressor doses of Angiotensin II increases insulin -mediated glucose uptake in normotensive men. Am J Physiol 1993;265:E362-66.  Back to cited text no. 10
    
11.Lupi R, Del GS, Bugliani M, Boggi U, Mosca F, Torri S, et al. The direct effect of Angiotensin -converting enzyme inhibitors zofenoprilat and enalaprilat, on isolated human pancreatic islets. Eur J Endocrinol 2006;154:355-61.  Back to cited text no. 11
    
12.Chu KY, Lau T, Carlsson PO, Leung PS. Angiotensin II type 1 receptor blockade improves β -cell function and glucose tolerance in a mouse model of type 2 diabetes. Diabetes 2006;55:367-74.  Back to cited text no. 12
    
13.Ozdemir S, Tandogan B, Ulusu NN, Turan B. Angiotensin II receptor blockage prevents diabetic induced oxidative damage in rat heart. Folia Biol 2009;55:11-6.  Back to cited text no. 13
    
14.Miura S, Kiya Y, Kanazawa T, Imaizumi S, Fujino M, Matsuo Y, et al. Differential bonding interactions of inverse agonists of angiotensin II type 1 receptor in stabilizing the inactive state. Mol Endocrinol 2008;22:139-46.   Back to cited text no. 14
    
15.Bhuiyan MA, Ishiguro M, Hossain M, Nakamura T, Ozaki M, Miura S, et al. Binding sites of valsartan, candesartan and losartan with angiotensin II receptor 1 subtype by molecular modeling. Life Sci 2009;85:136-40.  Back to cited text no. 15
    
16.Miura S, Saku K, Karnik SS. Molecular analysis of the structure and function of the Angiotensin II type 1 receptor. Hypertens Res 2003;26:937-43.  Back to cited text no. 16
    


    Figures

  [Figure 1], [Figure 2], [Figure 3]
 
 
    Tables

  [Table 1], [Table 2], [Table 3]


This article has been cited by
1 The killer of Socrates: Coniine and Related Alkaloids in the Plant Kingdom
Hannu Hotti,Heiko Rischer
Molecules. 2017; 22(11): 1962
[Pubmed] | [DOI]
2 Association of Urinary Phthalates with Self-Reported Eye Affliction/Retinopathy in Individuals with Diabetes: National Health and Nutrition Examination Survey, 2001–2010
Manju Mamtani,Joanne E. Curran,John Blangero,Hemant Kulkarni
Journal of Diabetes Research. 2016; 2016: 1
[Pubmed] | [DOI]
3 Ligand binding determinants for angiotensin II type 1 receptor from computer simulations
Matsoukas, M.-T., Cordomí, A., Ríos, S., Pardo, L., Tselios, T.
Journal of Chemical Information and Modeling. 2013; 53(11): 2874-2883
[Pubmed]
4 Ligand Binding Determinants for Angiotensin II Type 1 Receptor from Computer Simulations
Minos-Timotheos Matsoukas,Arnau Cordomí,Santiago Ríos,Leonardo Pardo,Theodore Tselios
Journal of Chemical Information and Modeling. 2013; 53(11): 2874
[Pubmed] | [DOI]



 

Top
  
 
  Search
 
    Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

 
  In this article
    Abstract
   Introduction
    Materials and Me...
   Results
   Discussion
   Conclusion
    References
    Article Figures
    Article Tables

 Article Access Statistics
    Viewed3807    
    Printed143    
    Emailed2    
    PDF Downloaded636    
    Comments [Add]    
    Cited by others 4    

Recommend this journal