Utilizing microphysiological systems and induced pluripotent stem cells for disease modeling: a case study for blood brain barrier research in a pharmaceutical settingShow others and affiliations
2019 (English)In: Advanced Drug Delivery Reviews, ISSN 0169-409X, E-ISSN 1872-8294, Vol. 140, p. 129-135Article in journal (Refereed) Published
Abstract [en]
Microphysiological systems (MPS) may be able to provide the pharmaceutical industry models that can reflect human physiological responses to improve drug discovery and translational outcomes. With lack of efficacy being the primary cause for drug attrition, developing MPS disease models would help researchers identify novel targets, study mechanisms in more physiologically-relevant depth, screen for novel biomarkers and test/optimize various therapeutics (small molecules, nanoparticles and biologics). Furthermore, with advances in inducible pluripotent stem cell technology (iPSC), pharmaceutical companies can access cells from patients to help recreate specific disease phenotypes in MPS platforms. Combining iPSC and MPS technologies will contribute to our understanding of the complexities of neurodegenerative diseases and of the blood brain barrier (BBB) leading to development of enhanced therapeutics. © 2018
Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 140, p. 129-135
Keywords [en]
Blood brain barrier, Drug development, iPSC, Microphysiological systems, Organs-on-chips, Pharmaceutical, Stem cells, Tissue chips, Blood, Drug products, Neurodegenerative diseases, Blood-brain barrier, Induced pluripotent stem cells, On chips, Pharmaceutical company, Pharmaceutical industry, Physiological response, Physiological models
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)
Research subject
Bioinformatics; INF502 Biomarkers
Identifiers
URN: urn:nbn:se:his:diva-16305DOI: 10.1016/j.addr.2018.09.009ISI: 000482251800010PubMedID: 30253201Scopus ID: 2-s2.0-85054095107OAI: oai:DiVA.org:his-16305DiVA, id: diva2:1256243
2018-10-162018-10-162019-09-12Bibliographically approved