Personalized Medicine: A Solution for Today and Tomorrow
Year 2022,
Volume: 81 Issue: 2, 267 - 273, 29.12.2022
Başak Dalbayrak
,
Mustafa Doğukan Metiner
Abstract
Personalized medicine is a multidisciplinary area that contains several techniques to provide patients with more efficient, cheaper, and fewer side effects treatment strategies. In customized medicine, each patient is viewed individually in order to provide more specific and efficient treatment. Using liquid biopsy, pharmacogenetics, point-of-care-testing, multi-omicbased technologies, wearable technologies, organoids, and 3D printers are some of the strategies covered in this review. Omics technology is promising for data collection, and management is vital for health records to combine complete information in one single platform. 3D printer technologies give opportunities to produce multi-drug tablets with controlled and targeted drug release. Additionally, organoids are the other biomaterial approaches to mimic the tumoroid microenvironment to develop new treatment strategies. Increasing demand for personalized medicine affects the improvement scope of this technology; personalized medicine is a vital and urgent area to improve.
Thanks
This review was written within the scope of the Gebze Technical University Biotechnology Institute 2020-2021 fall semester course coded BTEC653. We are grateful to Prof. Dr. Elif Damla ARISAN for sharing her profound knowledge during the lesson.
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Year 2022,
Volume: 81 Issue: 2, 267 - 273, 29.12.2022
Başak Dalbayrak
,
Mustafa Doğukan Metiner
References
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19. google scholar
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google scholar
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scholar
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- 23. Sauna ZE, Kimchi-Sarfaty C, Ambudkar SV, Gottesman MM. Silent polymorphisms speak: How they affect pharmacogenomics and the treatment of cancer. Cancer Res
2007;67(20):9609-12. google scholar
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scholar
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scholar
- 32. Bhardwaj V, Kapoor P, Irpachi K, Ladha S, Chowdhury U. Thailand Blood Gas Analyzer and Cardiac Biomarker Market Outlook to 2025 - Thailand’s growing number of heart
disease patients with improving healthcare facilities will drive the industry growth in long term: Ken Research. Ann Card Anaesth 2017;20(1):67-71. google scholar
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disease. Eur J Critic Care 2020;2(2):187-92. google scholar
- 34. Research K. Thailand blood gas analyzer and cardiac biomark-er market outlook to 2025 - thailand’s growing number of heart disease patients with improving healthcare
facilities will drive the industry growth in long term: Ken Research. 2021; Available from: https://www.prnewswire.com/news-releases/ thailand-blood-gas-analyzer-and-cardiac-
biomarker-market-outlook-to-2025---thailands-growing-number-of-heart-disease-patients-with-improving-healthcare-facilities-will-drive-the-in-dustry-growth-in-long-
term-ken-res google scholar
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blind, placebo-controlled randomized clinical trial. Toxicol Res (Camb) 2020;9(3):263-70. google scholar
- 36. Dorcely B, Katz K, Jagannathan R, Chiang SS, Oluwadare B, Gold-berg IJ, et al. Novel biomarkers for prediabetes, diabetes, and as-sociated complications. Diabetes, Metab Syndr
Obes Targets Ther 2017;10: 345-61. google scholar
- 37. Memtsa M, Jurkovic D, Jauniaux ERM. Diagnostic biomarkers for predicting adverse early pregnancy outcomes: Scientific impact paper no. 58. BJOG An Int J Obstet Gynaecol
2019;126(3):e107-13. google scholar
- 38. Cho SI, Goldman MB, Ryan LM, Chen C, Damokosh AI, Christiani DC, et al. Reliability of serial urine HCG as a biomarker to detect early pregnancy loss. Hum Reprod
2002;17(4):1060-6. google scholar
- 39. Hwang H, Hwang BY, Bueno J. Biomarkers in infectious diseases. Dis Markers 2018;2018:2-3. google scholar
- 40. Zandstra J, Jongerius I, Kuijpers TW. Future biomarkers for infection and inflammation in febrile children. Front Immunol 2021;12:1-14. google scholar
- 41. Zermatten MG, Fraga M, Calderara DB, Aliotta A, Moradpour D, Al-berio L. Biomarkers of liver dysfunction correlate with a prothrom-botic and not with a prohaemorrhagic profile
in patients with cir-rhosis. JHEP Reports 2020;2(4). google scholar
- 42. Nadkarni GN, Coca SG, Meisner A, Patel S, Kerr KF, Patel UD, et al. Urinalysis findings and urinary kidney injury biomarker concentra-tions. BMC Nephrol 2017;18(1):1-6. google
scholar
- 43. Cirillo D, Valencia A. Big data analytics for personalized medicine. Curr Opin Biotechnol 2019;58:161-7. google scholar
- 44. Hassan M, Awan FM, Naz A, Enrique J, Alvarez O, Cernea A, et al. Innovations in genomics and big data analytics for personalized medicine and health care: A review. Int J Mol Sci
2022;23(9):4645. google scholar
- 45. Hulsen T, Jamuar SS, Moody AR, Karnes JH, Varga O, Hedensted S, et al. From big data to precision medicine. Front Med 2019;6:1-14. google scholar
- 46. Abul-Husn NS, Kenny EE. Personalized medicine and the power of electronic health records. Cell 2019;177(1):58-69. google scholar
- 47. Phillips KA, Deverka PA, Hooker GW, Douglas MP. Genetic test availability and spending: Where are we now? Where are we go-ing? Health Aff 2018;37(5):710-6. google scholar
- 48. Jacob M, Lopata AL, Dasouki M, Abdel Rahman AM. Metabolomics toward personalized medicine. Mass Spectrom Rev 2019;38(3):221-38. google scholar
- 49. Tan YJN, Yong WP, Kochhar JS, Khanolkar J, Yao X, Sun Y, et al. On-demand fully customizable drug tablets via 3D printing tech-nology for personalized medicine. J Control
Release 2020;322:42-52. google scholar
- 50. Reza Soroushmehr SM, Najarian K. Transforming big data into computational models for personalized medicine and health care. Dialogues Clin Neurosci 2016;18(3):339-43.
google scholar
- 51. Alrefaei AF, Hawsawi YM, Almaleki D, Alafif T, Alzahrani FA, Bakhre-bah MA. Genetic data sharing and artificial intelligence in the era of personalized medicine based on a cross-
sectional analysis of the Saudi human genome program. Sci Rep 2022;12(1):1-10. google scholar
- 52. Guiot J, Vaidyanathan A, Deprez L, Zerka F, Danthine D, Frix AN, et al. A review in radiomics: Making personalized medicine a reality via routine imaging. Med Res Rev
2022;42(1):426-40. google scholar
- 53. Tamsin M. Wearable biosensor technologies. Int J Innov Sci Res 2015;13(2):697-703. google scholar
- 54. Yetisen AK, Martinez-Hurtado JL, Ünal B, Khademhosseini A, Butt H. Wearables in medicine. Adv Mater 2018;30(33):e1706910. google scholar
- 55. Dunn J, Runge R, Snyder M. Wearables and the medical revolution. Per Med 2018;15(5):429-48. google scholar
- 56. Izmailova ES, Wagner JA, Perakslis ED. Wearable devices in clinical trials: Hype and hypothesis. Clin Pharmacol Ther 2018;104(1):42-52. google scholar
- 57. Hoeben A, Joosten EAJ, van den Beuken-Van Everdingen MHJ. Per-sonalized medicine: Recent progress in cancer therapy. Cancers (Basel) 2021;13(2):1-3. google scholar
- 58. Takahashi T. Organoids for drug discovery and personalized medi-cine. Annu Rev Pharmacol Toxicol 2019;59:447-62. google scholar
- 59. Halfter K, Hoffmann O, Ditsch N, Ahne M, Arnold F, Paepke S, et al. Testing chemotherapy efficacy in HER2 negative breast cancer using patient-derived spheroids. J Transl Med
2016;14(1):1-14. google scholar
- 60. Vaz VM, Kumar L. 3D Printing as a promising tool in personalized medicine. AAPS PharmSciTech 2021;22(1):49. google scholar
- 61. Sharpton SR, Schnabl B, Knight R, Loomba R. Current concepts, opportunities, and challenges of gut microbiome-based person-alized medicine in nonalcoholic fatty liver disease. Cell Metab 2021;33(1):21-32. google scholar