ISSN : 0970 - 020X, ONLINE ISSN : 2231-5039
     FacebookTwitterLinkedinMendeley

Modeling of IC50 (5-LOX and COX) Activity of Phenol Derivatives Against Leukemia Cells

Sameer Dixit1 and Arun K Sikarwar2

1Department of Chemistry, M.J.P.Govt.PolytechnicCollege Khandwa, Madhya Paradesh India.

2Department of Chemistry, Govt.HomeScienceP.G.College Hoshangabad, Madhya Paradesh India.

Corresponding Author E-mail: dixitsameer1@rediffmail.com

 

DOI : http://dx.doi.org/10.13005/ojc/330266

Article Publishing History
Article Received on :
Article Accepted on :
Article Metrics
ABSTRACT:

Phenols derivatives show different inhibitory selectivities towards 5-LOX and COX and induce cell death in leukemia cell lines. For modeling of activity against Leukemia cell lines K562, HL-60, Raji, MOLT4, 32D, Leukocytes, NIH3T3 etc. of phenol derivatives we used three descriptors Mor20e, Mor04m and RDF045m. 5-LOX and COX Values of Bobels are used to build model for Predicted Activity for  5-LOX and COX.

KEYWORDS:

5-LOX; COX; QSAR; QSPR; 3D MoRSE Descriptors; RDF Descriptors; IC50

Download this article as: 

Copy the following to cite this article:

Dixit S, Sikarwar A. K. Modeling of IC50 (5-LOX and COX) Activity of Phenol Derivatives Against Leukemia Cells. Orient J Chem 2017;33(2).


Copy the following to cite this URL:

Dixit S, Sikarwar A. K. Modeling of IC50 (5-LOX and COX) Activity of Phenol Derivatives Against Leukemia Cells. Orient J Chem 2017;33(2). Available from: http://www.orientjchem.org/?p=31582


Introduction

In the present study we shall use a series of phenol derivatives for QSAR & QSPR studies. Phenol’s derivatives like Bobel-241 (2,4,6-Triiodophenol or AM-24) induce caspase-independent mitochondrial cell death in leukemia cells inhibited by Mys. 2,4,6-Triiodophenol was originally designed as a potential anti-inflammatory drug with inhibitory activities against COX (cyclooxygenases) and LOX (lipoxygenases). It is found that it exerts a potent cytotoxic activity against several leukemia cell lines. we predicted the antiproliferative activity of the Phenol derivatives on leukemia cell lines. Its found that it exerts a potent cytotoxic activity against several leukemia lines. There phenols derivatives show different inhibitory selectivities towards 5-LOX and COX and induce cell death in leukemia cell lines.

Prostaglandins and leukotrienes are signaling mediators generated from arachidonic acid by the action of cyclo-oxygenases (COX-1 and COX-2) and 5-lipoxygenases (5-LOX),respectively. COX is expressed in most cells, whereas 5-LOX is mainly expressed in inflammatory cells such as polymorphonuclear leukocytes2. Leukotrienes modulate the growth of several cell types and it has also been shown that various 5-LOX metabolites from arachidonic acid regulate murine and human hematopoiesis3. COX and 5-LOX inhibitors are used as anti-inflammatory drugs4. Cytotoxic mechanisms of phenol’s derivatives do not seem to be directly related to the inhibition of these enzymatic activities. However, it is important to note that the IC50 of these compounds for all the tested cell lines are within the concentration range clinically attainable5. Interestingly, many phenol’s derivatives  show lower cytotoxic activity on nontransformed cells (32D, NIH3T3, leukocytes) than in leukemia cell lines, either from myeloid origin (K562, HL60) or lymphoid origin (Raji, MOLT).

Material and Methods

To calculate the different Molecular Descriptor like constitutional, topological, geometrical, charge e.g. 3D-MoRSE6-7 (3D-Molecular Representation of Structure based on Electron diffraction), RDF8-9 (radial distribution function); DRAGON Software used in the study.

Activities of phenol derivatives are correlated with Topological indices mention above. The correlations are than subjected to regression analysis using the method of least squares. In each case we have multiple linear regression analysis which gives linear regression models shown in equation 1.1 and 1.2.

5-LOX predicted= (-4.72575 x Mor20e) + (-1.12911 x Mor04m) + (-0.45334 x RDF045m) + 7.370393

COX predicted = (38.00935 x Mor20e) + (5.192296 x Mor04m) + (9.387485 x RDF045m) – 28.3476

By regression Statistics we get correlation coefficient is 0.99, r2 is 0.98, and Standard Error approx zero for model for COX inhibition which described by equation 1.2

Result and Discussion

For modeling of activity against Leukemia cell lines K562, HL-60, Raji, MOLT4, 32D, Leukocytes, NIH3T3 etc. of phenol derivatives we used three descriptors Mor20e, Mor04m and FDI. Values of Bobels are used to build model for Predicted Activity for 5-LOX and COX. By regression Statistics we get correlation coefficient is 0.99, r2 is 0.98 and Standard Error is very low for Model for 5-LOX inhibition which described by equation 1.1. And correlation coefficient is 0.99, r2 is 0.98, and Standard Error approx zero for model for COX inhibition which described by equation 1.2.

Table 1.2: Predicted IC50 (µmol/L) for COX and 5-LOX

S.No

 

Phenol Derivative 

IC50 (µmol/L)

COX

 5-LOX

1

4-OCH3

26.2817

1.01481

2

4-OC2H5

38.044

Inactive

3

4-OC3H7

16.6926

2.73391

4

4-OC4H9

51.4389

0.58662

5

4-OC6H13

38.2196

Inactive

6

H

Inactive

4.69023

7

4-NO2

Inactive

4.65095

8

4-Cl

23.8554

3.42172

9

4-I

22.8598

1.53725

10

4-CHO

3.81314

4.34386

11

4-F

Inactive

5.06063

12

4-NH2

7.1542

3.64964

13

4-OH

1.61331

4.38208

14

4-CH3

6.70446

3.6286

15

4-C2H5

7.29642

3.54116

16

4-NHCOCH3

20.5741

2.96949

17

4-CN

Inactive

4.68031

18

4-OC6H5

35.8702

0.70736

19

Bisphenol-A

69.266

Inactive

20

4-Br

3.87646

3.96552

21

4-C (CH3)3

32.9638

1.7658

22

3-NO2

Inactive

4.41005

23

3-NHCOCH3

22.351

2.51856

24

3-Cl

25.7883

2.976

25

3-C(CH3)3

16.9575

3.19239

26

3-CH3

3.92158

3.83743

27

3-OCH3

6.77432

3.57635

Continue………

28

3-N (CH3)2

15.2932

2.61761

29

3-C2H5

2.28685

4.03734

30

3-Br

3.31985

3.82402

31

3-CN

Inactive

4.81261

32

3-F

Inactive

4.88429

33

3-OH

1.15232

4.22199

34

3-NH2

7.37565

3.44287

35

2-CH3

3.95216

3.88376

36

2-Cl

25.0388

3.07856

37

2-F

Inactive

4.60425

38

2-OCH3

25.8719

2.77006

39

2-C2H5

25.5492

2.69282

40

2-OH

4.39628

3.913

41

2-OH, 4CH3

12.4433

2.99931

42

2-NH2

8.63339

3.35983

43

2-CN

Inactive

4.82947

44

2-NO2

Inactive

4.36136

45

2-Br

7.62182

3.2431

46

2-C (CH3)3

10.9452

4.02913

47

4-C3H7

11.4972

3.10147

48

4-C4H9

12.346

3.06799

49

4-C5H11

19.9172

2.10369

 

Conclusion

By the study of effect of phenol derivatives on 5-LOX and COX we found that IC50 (µmol/L) of 4-OC4H9 shows high potential for 5-LOX and 3-OH for COX. The IC50 value of phenol derivatives for 5-LOX and COX is depend on the substitute and its the position.

As size of Leophobic groups is increased than value of IC50 is decreased for 5-LOX e.g. 2.103< 3.067< 3.1014 for respectively 4-C5H11, 4-C4H9, 4-C3H7. In case of Leophobic groups, para derivatives have low value, meta has high and ortho has higher value of IC50 for 5-LOX inhibition e.g. 3.62, 3.83, 3.88 for methyl. However for ethyl ortho derivatives have min and meta has higher value. As electro negativity is increased value of IC50 is also increased.(4-I < 4-Br < 4- Cl <4-F). Electron withdrawing group like -NO2 has higher value at para and min value at ortho. However in case of –CN has higher value at para- and min value at ortho-. But in case of –Cl has higher value at para- and min value at meta-. This is due to hydrogen bond n inductive n mesomeric effect. While electron releasing group like -OH has higher value at ortho- and min value at para-.

Effect of phenol derivatives on COX activity is depend on size of Leophobic groups also, as size of Leophobic groups is increased than value of IC50 is increased for COX e. g. 7.29, 11.4, 12.3, 19.9 for respectively 4- C2H5, 4-C3H7, 4-C4H9, 4-C5H11. In case of Leophobic groups, meta- derivatives have low value, ortho- has high and para- has higher value of IC50 for COX inhibition e.g. 3.92, 3.95, 6.70 for methyl. However for ethyl ortho derivatives have higher value. As electro negativity is increased value of IC50 is also increased. (4-I < 4- Cl ). Electron withdrawing group like -NO2 has higher value at ortho and min value at para-. However in case of –CN has higher value at para- and min value at meta-. But in case of –Cl has higher value at meta- and min value at para-. This is due to hydrogen bond n inductive n mesomeric effect. While electron releasing group like -OH has higher value at ortho- and min value at meta-.

In conclusion, this work describes the cytotoxic effect of a new series of molecules on leukemia cells by inducing a caspase-independent cell death.

Acknowledgement

Authors are very thankful to Mr C. G. Dhabu, Principal M. J.P.Govt. Polytechnic college, Khandwa for providing facilities and motivation in the work.

References

  1. Matilde Parreno, Jose P. Vaque Isolda Casanova, Novel triiodophenol derivatives induce caspase independent mitochondrial cell death in leukemia cells inhibited by Myc, Mol Cancer Therapeuties, 2006., 5(5), 1166-1175
  2. Vila L., Cyclooxygenase and 5-lipoxygenase pathways in the vessel wall: role in atherosclerosis, Med J, 2004, 24, 399–424. Rev
  3. Snyder D. S., Desforges J. F., Lipoxygenase metabolites of arachidonic acid modulate hematopoiesis. Blood , 1986 .,67, 1675–9.
  4. Ding X. Z., Hennig R., Adrian T. E., Lipoxygenase and cyclooxygenase metabolism: new insights in treatment and chemoprevention of pancreatic cancer. Mol Cancer,2003., 2, 10,
  5. Troco ´niz I. F., Zsolt I., Garrido M. J., Valle M., Antonijoan R. M., Barbanoj M. J., Dealing with time-dependent pharmacokinetics during the early clinical development of a new leukotriene B4 synthesis inhibitor. Pharm Res. 2006
  6. Sikarwar Arun K, Dixit Sameer, QSAR modeling of phenol derivatives using 3d morse descriptors and eigen values, JERAD, 2012.,6(3A), 727-732, Jan-March
  7. Schuur J., Selzer P., Gasteiger J., 3d morse descriptors, J. Chem. lnf. Comput. Sci., 1996.,36, 334-344,
  8. Steinhauer V., Gasteiger J., Obtaining 3D structure from infrared spectra of organic compounds using neural networks, in Software-Entwicklung in der Chemie 11, G. Fels, V.Schubert (eds.), Gesellshaft Deutcher Chemiker, Frankfurt/Main, 1997
  9. Karle J., Applications of mathematics to structural chemistry, J. Chem. Inf. Comput. Sci., 1994.,  34 , 381–390,


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.