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QSPR Modeling of Biopharmaceutical Properties of Hydroxypropyl Methylcellulose (Cellulose Ethers) Tablets Based on Its Degree of Polymerization

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Abstract

Quantitative structure-property relationship (QSPR) approach has been widely used in predicting physicochemical properties of compounds. However, its application in the estimation of formulation properties based on the polymer used in it to achieve desired formulation characteristics is an extremely challenging process. In the present research, predictive QSPR models were developed by correlating the physicochemical properties of varying grades of cellulose ethers (hydroxypropyl methylcellulose, HPMC) with those of nateglinide (NTG) containing tablets (in vitro and in vivo properties). Sustained release tablets of NTG were prepared by using different grades and concentrations of HPMC and subsequently characterized for in vitro as well as in vivo parameters. Further, QSPR models for individual formulation property were developed by correlating the polymeric physicochemical properties with the formulation characteristics. Subsequently, a true external validation method was used to validate the predictability of developed models. The dissolution study indicated Korsmeyer-Peppas as the best fit model following non-Fickian as drug transport mechanism extending the drug release up to 12 h. In vivo studies showed limited absorption of the NTG. Developed QSPR models showed promising validated predictability for formulation characteristics. The applicability of present work in formulation development could significantly reduce the time and cost expenditure on design trials without actually formulating a delivery system.

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Abbreviations

ADME:

Absorption, Distribution, Metabolism, and Excretion

AUC:

Area Under the Curve

BCS:

Biopharmaceutical Classification System

DSC:

Differential Scanning Calorimetry

ERC:

Elimination Rate Constant

FTIR:

Fourier Transform Infrared

GLZ:

Gliclazide

HCl:

Hydrochloric Acid

HPLC:

High Performance Liquid Chromatography

HPMC:

Hydroxypropyl Methylcellulose

ICH:

International Conference on Harmonization

LOD:

Limit of Detection

LOQ:

Limit of Quantitation

MCC:

Microcrystalline Cellulose

MDS:

Molecular Design Suite

MRT:

Maximum Retention Time

NTG:

Nateglinide

QSPR:

Quantitative Structure-Property Relationship

RMSE:

Root Mean Square Error

RPM:

Rotations Per Minute

t1/2 :

Half-life

USP:

United States Pharmacopeia

VD :

Volume of Distribution

vdW:

van der Waals

References

  1. Mali RR, Goel V, Gupta S. Novel study in sustained release drug delivery system: a review. Int J Pharm Med Res. 2015;3:204–15.

    Google Scholar 

  2. Patel KB, Vyas JR, Upadhyay UM. Formulation and evaluation of sustained release matrix tablets of Nateglinide. J Drug Deliv Ther. 2015;5:19–25.

    Google Scholar 

  3. Dusane AR, Gaikwad PD, Bankar VH, Pawar SP. A review on: sustained released technology. Int J Res Ayurveda Pharm. 2011;2:1701–8.

    CAS  Google Scholar 

  4. Gupta MM, Brijesh R. A review on: sustained release technology. Int J Ther Appl [Internet]. 2012 [cited 2019 Mar 2];8:18–23. Available from: http://journal.npaa.in/admin/ufile/1372744692IJTA_8_18-23.pdf

  5. Chugh I, Seth N, Rana AC, Gupta S. Oral sustained release drug delivery system: an overview. Int Res J Pharm. 2012;3:57–62.

    CAS  Google Scholar 

  6. Bhatia NM, Gaikwad VL, Mane RV, Dhavale RP, Bhatia MS. Quantitative structure-property relationship modeling for prediction of hydrophilic drug entrapment in liposomes for lung targeted delivery. New J Chem. 2018;42:4384–93.

    Article  CAS  Google Scholar 

  7. Gaikwad VL, Bhatia NM, Singhvi I, Mahadik KR, Bhatia MS. Computational modeling of polymeric physicochemical properties for formulation development of a drug containing basic functionality. J Pharm Sci. 2017;106:3337–45.

    Article  CAS  Google Scholar 

  8. Gaikwad VL, Bhatia MS, Singhvi I. Statistical significance of polymeric physicochemical properties in the development of formulations containing a drug from neutral class. Arab J Chem. 2016;9:S1915–27.

    Article  CAS  Google Scholar 

  9. Gaikwad VL, Bhatia NM, Desai SA, Bhatia MS. Quantitative structure-property relationship modeling of excipient properties for prediction of formulation characteristics. Carbohydr Polym. 2016;151:593–9.

    Article  CAS  Google Scholar 

  10. Gaikwad VL, Bhatia MS, Singhvi I. Experimental and chemoinformatics evaluation of some physicochemical properties of excipients influencing release kinetics of the acidic drug ibuprofen. Chemosphere. 2015;138:494–502.

    Article  CAS  Google Scholar 

  11. Gaikwad VL, Bhatia MS, Singhvi I. Statistical modeling of physical characteristics of fast disintegrating glipizide tablets using polymeric properties. Int J Pharm Technol. 2013;5:5586–601.

    Google Scholar 

  12. Gaikwad VL, Bhatia MS. Polymers influencing transportability profile of drug. Saudi Pharm J. 2013;21:327–35.

    Article  Google Scholar 

  13. Gaikwad VL, Bhatia MS, Singhvi I. Effect of polymeric properties on physical characteristics of fast disintegrating ibuprofen tablets: a statistical approach. Der Pharm Lett. 2013;5:140–7.

    CAS  Google Scholar 

  14. Fayet G, Rotureau P, Prana V, Adamo C. Prediction of physico-chemical properties for REACH based on QSPR models. In: De Rademaeker E, Fabiano B, Senni Buratti S, editors. Proc. 14th Int. Symp. Loss Prev. Saf. Promot. Process Ind. [Internet]. Florence; 2013 [cited 2019 Mar 2]. p. 925–30. Available from: https://hal-ineris.archives-ouvertes.fr/ineris-00976244

  15. Siepmann J, Peppas NA. Modeling of drug release from delivery systems based on hydroxypropyl methylcellulose (HPMC). Adv Drug Deliv Rev Elsevier. 2001;48:139–57.

    Article  CAS  Google Scholar 

  16. Brauner N, Stateva RP, Cholakov GS, Mordechai S. Structurally “targeted” quantitative structure-property relationship method for property prediction. Ind Eng Chem Res American Chemical Society. 2006;45:8430–7.

    Article  CAS  Google Scholar 

  17. Gafourian T, Safari A, Adibkia K, Parviz F, Nokhodchi A. A drug release study from hydroxypropylmethylcellulose (HPMC) matrices using QSPR modeling. J Pharm Sci. 2007;96:3334–51.

    Article  CAS  Google Scholar 

  18. Jain S, Bhandari A, Purohit S. Spectrophotometric determination of nateglinide in bulk and tablet dosage forms. Asian J Pharm. 2009;3:218–21.

    Article  Google Scholar 

  19. Pani NR, Nath LK, Acharya S. Compatibility studies of nateglinide with excipients in immediate release tablets. Acta Pharma. 2011;61:237–47.

    Article  CAS  Google Scholar 

  20. ICH. Stability testing: Photostability testing of new drug substances and products Q1B [Internet]. ICH. 1996 [cited 2019 Mar 2]. p. 1–12. Available from: https://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Quality/Q1B/Step4/Q1B_Guideline.pdf.

  21. TA Instruments. Interpreting unexpected events and transitions in DSC results [Internet]. 2016. Available from: http://www.tainstruments.com/pdf/literature/TA039.pdf. Accessed 01 Mar 2019.

  22. TA Instruments. How to interpret the unexpected transitions in DSC results [Internet]. AZOM. 2015 [cited 2019 Mar 2]. p. 1–10. Available from: https://www.azom.com/article.aspx?ArticleID=12101.

  23. Mettler Toledo. Interpreting DSC curves Part 1: Dynamic measurements [Internet]. Mettler Toledo. 2000 [cited 2019 Mar 2]. p. 1–28. Available from: http://www.masontechnology.ie/x/Usercom_11.pdf.

  24. Hacioğlu A, Çitlak A, Karakuş S. Development and validation of an HPLC method for determination of nateglinide in drug substances. Marmara Pharm J. 2015;2(19):103–8.

    Article  Google Scholar 

  25. Raveendra Babu G, Rao AL, Sri Lakshmi SP, Kalapraveen T, Rao PS. Spectrophotometric methods for estimation of nateglinide in bulk drug and its dosage form. Int J Pharm Chem Biol Sci. 2013;3:1160–4.

    Google Scholar 

  26. USPNF. United States Pharmacopeia [USP] 22 – National Formulary [NF] 17. Rockville, MD: United States Pharmacopeial Convention, Inc.; 1995.

  27. IPCommission. Indian Pharmacopeia. Ghaziabad: Indian Pharmacopoeia Commission, Govt. of India, Ministry of Health and Family Welfare; 1996.

  28. ICH. Validation of analytical procedures: Text and methodology Q2(R1) [Internet]. ICH. 2005 [cited 2019 Mar 2]. p. 1–17. Available from: https://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Quality/Q2_R1/Step4/Q2_R1__Guideline.pdf.

  29. USPNF. United States Pharmacopeia [USP] 38 – National Formulary [NF] 33. Rockville, MD: United States Pharmacopeial Convention, Inc.; 2015.

  30. FDA. Nateglinide Tablets [Internet]. U.S. Food Drug Adm. 2009 [cited 2019 Apr 1]. p. 1–2. Available from: https://www.accessdata.fda.gov/drugsatfda_docs/label/2009/077467s000lbl.pdf

  31. Novartis Pharmaceuticals Canada Inc. PrStarlix* (Nateglinide): Product Monograph [Internet]. Novartis Pharm. Canada Inc. 2011 [cited 2019 Apr 1]. p. 1–34. Available from: https://www.novartis.ca/sites/www.novartis.ca/files/starlix_scrip_e.pdf.

  32. DOW. Chemistry of METHOCEL™. Cellulose Ethers - a technical review [Internet]. Dow Chem. Co. 2013 [cited 2019 Apr 2]. p. 1–16. Available from: http://msdssearch.dow.com/PublishedLiteratureDOWCOM/dh_08e5/0901b803808e5f58.pdf?filepath=dowwolff/pdfs/noreg/198-02289.pdf&fromPage=GetDoc.

  33. DOW. METHOCEL Cellulose Ethers. Technical Handbook [Internet]. Dow Chem. Co. 2002 [cited 2019 Apr 2]. p. 1–32. Available from: http://msdssearch.dow.com/PublishedLiteratureDOWCOM/dh_096d/0901b8038096d9ff.pdf?filepath=/pdfs/noreg/192-01062.pdf&fromPage=GetDoc.

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Acknowledgments

The authors are grateful to Ashland Inc. Ltd., Netherlands for providing gift samples of different grades of HPMC (K4M, K15M, K35M, K100M, and K250 PH); Cipla Ltd. (Kurkumbh, Maharashtra, India) for kind gift sample of Nateglinide, Glenmark Pharmaceuticals (Mumbai, Maharashtra, India) for supplying gift sample of Gliclazide; and Colorcon Asia Ltd. (Goa, India) for providing gift samples of microcrystalline cellulose (Avicel PH102), magnesium stearate, and talc.

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Correspondence to Ajit S. Kulkarni.

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This article contained studies with animal subjects performed by the first author and was duly approved by the Institutional Animal Ethics Committee.

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Kasabe, A.J., Kulkarni, A.S. & Gaikwad, V.L. QSPR Modeling of Biopharmaceutical Properties of Hydroxypropyl Methylcellulose (Cellulose Ethers) Tablets Based on Its Degree of Polymerization. AAPS PharmSciTech 20, 308 (2019). https://doi.org/10.1208/s12249-019-1514-9

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