Primena tehnika za sistematizovanu obradu tekstualnih informacija u cilju analize kvalitativnog sastava registrovanih preparata paracetamola i ibuprofena

  • Jelena Djuriš Univerzitet u Beogradu – Farmaceutski fakultet, Katedra za farmaceutsku tehnologiju i kozmetologiju
  • Jovana Pilović Univerzitet u Beogradu – Farmaceutski fakultet, Katedra za farmaceutsku tehnologiju i kozmetologiju
  • Marina Džunić Univerzitet u Beogradu – Farmaceutski fakultet, Katedra za farmaceutsku tehnologiju i kozmetologiju
  • Sandra Cvijić Univerzitet u Beogradu – Farmaceutski fakultet, Katedra za farmaceutsku tehnologiju i kozmetologiju
  • Svetlana Ibrić Univerzitet u Beogradu – Farmaceutski fakultet, Katedra za farmaceutsku tehnologiju i kozmetologiju
DOI: https://doi.org/10.5937/arhfarm72-40397
Ključne reči: text mining, farmaceutski oblici, kvalitativna analiza, ekscipijensi, paracetamol, ibuprofen

Sažetak


Primena text mining (TM) alata u oblasti biomedicine postaje sve značajnija. TM alati mogu da olakšaju razvoj formulacija, tako što omogućavaju analizu tekstualnih informacija iz patentnih baza, naučnih članaka, sažetaka karakteristika lekova, itd. Cilj ovog rada bila je primena TM alata za kvalitativnu analizu formulacija paracetamola (PAR) i ibuprofena (IBU), u smislu identifikacije i procene prisustva ekscipijenasa koji su karakteristični za lekovitu supstancu i/ili farmaceutski oblik. Ukupno je analiziran sastav 152 preparata. Web-scraping je primenjen za prikupljanje podataka, a Orange 3.31.1, softver otvorenog koda zasnovan na programskom jeziku Python, primenjen je za TM i statističku analizu (ANOVA) dobijenih rezultata. Većina analiziranih formulacija za obe lekovite supstance bile su tablete, a najzastupljeniji ekscipijensi u njima su bili povidon, skrob, mikrokristalna celuloza i hipromeloza. Povidon, stearinska kiselina, kalijum sorbat, kukuruzni skrob i pregelirani skrob se češće pronalaze u formulacijama PAR tableta. Titanijum-dioksid, laktoza, šelak, saharoza i amonijum hidroksid su specifični za IBU tablete. PAR peroralne suspenzije su češće sadržale disperzibilnu celulozu; tečni sorbitol; metil- i propil parahidroksibenzoat, glicerol i acesulfam-kalijum. Takođe su identifikovani i specifični ekscipijensi za PAR efervescentne tablete, tvrde kapsule, peroralne praškove, rastvore i suspenzije, kao i za IBU gelove i meke kapsule.

Reference

1.          Zheng S, Dharssi S, Wu M, Li J, Lu Z. Text mining for drug discovery. In: Larson R, Oprea T, editors. Bioinformatics and Drug Discovery. Methods in Molecular Biology, vol. 1939. New York: Humana Press; 2019; p. 231-52.

2.          Tari LB, Patel JH. Systematic drug repurposing through text mining. In: Kumar V, Tipney H, editors. Biomedical Literature Mining. Methods in Molecular Biology, vol. 1159. New York: Humana Press; 2014; p. 253-67.

3.          Baker NC, Ekins S, Williams AJ, Tropsha A. A bibliometric review of drug repurposing. Drug Discov Today. 2018;23(3):661-72.

4.          Conceição SI, Couto FM. Text Mining for Building Biomedical Networks Using Cancer as a Case Study. Biomolecules. 2021;11(10):1430.

5.          Wang Y, Zhu S, Liu C, Deng H, Zhang Z. Text mining and hub gene network analysis of endometriosis. BioMed Res Int. 2021;2021:5517145.

6.          Nicholson DN, Greene CS. Constructing knowledge graphs and their biomedical applications. Comput Struct Biotechnol J. 2020;18:1414-28.

7.          Choi Y, Hong S. Qualitative and quantitative analysis of patent data in nanomedicine for bridging the gap between research activities and practical applications. World Patent Information. 2020;60:101943.

8.          Patel S, Patel MS, Patel AD, Shah UH, Patel MM, Solanki ND, Patel MJ. Probiotic Formulations: A Patent Landscaping Using the Text Mining Approach. Curr Microbiol. 2022;79(5):1-15.

9.          Tao D, Yang P, Feng H. Utilization of text mining as a big data analysis tool for food science and nutrition. Compr Rev Food Sci F. 2020;19(2):875-94.

10.       Raja R, Coelho A, Hemaiswarya S, Kumar P, Carvalho IS, Alagarsamy A. Applications of microalgal paste and powder as food and feed: An update using text mining tool. Beni-Suef Univ J Basic App Sci. 2018;7(4):740-7.

11.       Chai KH, Hang CC, Xie M, editors. A text mining-based recommendation system for customer decision making in online product customization. Proceedings of an IEEE International conference on management of innovation and technology; 2006 June 21-23; Singapore. New Jersey: IEEE, Piscataway; 2006. 473 p.

12.       Mining heterogeneous data for formulation design.  Proceedings of an IEEE International Conference on Data Mining Workshops; 2020 Nov 17-20; virtual conference. IEEE; 2020. 589 p.

13.       Medical Formulation Recognition (MFR) using Deep Feature Learning and One Class SVM. Proceedings of an  IEEE 2020 International Joint Conference on Neural Networks;  2020 July 19-24; Glasgow, United Kingdom. IEEE; 2020. 1 p.

14.       Rincón-López J, Almanza-Arjona YC, Riascos AP, Rojas-Aguirre Y.  Technological evolution of cyclodextrins in the pharmaceutical field. J Drug Deliv Sci Technol. 2021;61:102156.

15.       Rincón-López J, Almanza-Arjona YC, Riascos AP, Rojas-Aguirre Y. When cyclodextrins met data science: Unveiling their pharmaceutical applications through network science and text-mining. Pharmaceutics. 2021;13(8):1297.

16.       Yang M, Byrn SR, Clase KL. An analytic investigation of the drug formulation-based recalls in the USA: see more beyond the literal. AAPS PharmSciTech. 2020;21(5):1-10.

17.       Oral OTC Analgesics Market Share Trends [Internet]. [cited 2022 Aug 20]. Available from: https://dataintelo.com/report/oral-otc-analgesics-market/.

18.       Non-steroidal Anti-Inflammatory Drugs (NSAIDs) Market Research Report 2021-2028 [Internet]. [cited 2022 Aug 20]. Available from: https://dataintelo.com/report/non-steroidal-anti-inflammatory-drugs-nsaids-market/.

19.       Electronic Medicines Compendium (EMC) [Internet]. [cited 2022 Jul 10]. Available from: https://www.medicines.org.uk/emc/.

20.       ParseHub - web scraping software [Internet]. [cited 2022 Jul 10]. Available from: https://www.parsehub.com/.

21.       Šimek M, Grünwaldová V, Kratochvíl B. Comparison of compression and material properties of differently shaped and sized paracetamols. KONA Powder Part J. 2017;34:197-206.

22.       Niazi SK. Handbook of Pharmaceutical Manufacturing Formulations: Volume One, Compressed Solid Products. Boca Raton: CRC Press, Taylor & Francis Group; 2019.

23.       Stojanovska Pecova M, Geskovski N, Petrushevski G, Chachorovska M, Krsteska L, Ugarkovic S, Makreski P. Solid-state interaction of ibuprofen with magnesium stearate and product characterization thereof. Drug Dev Ind Pharm. 2020;46(8):1308-17.

24.       Chaiya P, Chinpaisal C, Limmatvapirat S, Phaechamud T. Alteration of crystallinity and thermal properties from incompatibility between ibuprofen and boundary lubricants. Mater Today-Proc. 2021;47:3500-8.

25.       Rowe RC, Sheskey P, Quinn M. Handbook of Pharmaceutical Excipients. 6th edition. London: Pharmaceutical Press; 2009.

26.       Lodha A, Patel A, Chaudhuri J, Jadia P, Joshi T, Dalal J. Formulation and evaluation of transparent ibuprofen soft gelatin capsule. J Pharm Bioall Sci. 2012;4(1):S95.

27.       Mazurek-Wadołkowska E, Winnicka K, Czajkowska-Kośnik A, Czyzewska U, Miltyk W. Application of differential scanning calorimetry in evaluation of solid state interactions in tablets containing acetaminophen. Acta Pol Pharm. 2013;70(5):787-93.

28.       Blundell R, Butterworth P, Charlier A, Daurio D, Degenhardt M, Harris D, et al. The role of titanium dioxide (E171) and the requirements for replacement materials in oral solid dosage forms: An IQ Consortium Working Group Review. J Pharm Sci. 2022. doi: 10.1016/j.xphs.2022.08.011.

29.       Sodium laurilsulfate used as an excipient [Internet]. European Medicines Agency report [cited 2022 Aug 21]. Available from: https://www.ema.europa.eu/en/documents/report/sodium-laurilsulfate-used-excipient-report-published-support-questions-answers-sodium-laurilsulfate_en.pdf.

30.       Lakshmi PK, Kumar MK, Sridharan A, Bhaskaran S. Formulation and evaluation of ibuprofen topical gel: a novel approach for penetration enhancement. Int J Appl Pharm. 2011;3(3):25-30.

Objavljeno
2022/12/29
Broj časopisa
Vol. 72 Br. Notebook 6 (2022): Arhiv za farmaciju
Rubrika
Originalni naučni rad
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