Literature DB >> 27296078

Bioprinting towards Physiologically Relevant Tissue Models for Pharmaceutics.

Weijie Peng1, Derya Unutmaz2, Ibrahim T Ozbolat3.   

Abstract

Improving the ability to predict the efficacy and toxicity of drug candidates earlier in the drug discovery process will speed up the introduction of new drugs into clinics. 3D in vitro systems have significantly advanced the drug screening process as 3D tissue models can closely mimic native tissues and, in some cases, the physiological response to drugs. Among various in vitro systems, bioprinting is a highly promising technology possessing several advantages such as tailored microarchitecture, high-throughput capability, coculture ability, and low risk of cross-contamination. In this opinion article, we discuss the currently available tissue models in pharmaceutics along with their limitations and highlight the possibilities of bioprinting physiologically relevant tissue models, which hold great potential in drug testing, high-throughput screening, and disease modeling.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  bioprinting; drug screening; high-throughput assays; organ-on-chip models

Mesh:

Year:  2016        PMID: 27296078     DOI: 10.1016/j.tibtech.2016.05.013

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  34 in total

1.  Micro- and Macrobioprinting: Current Trends in Tissue Modeling and Organ Fabrication.

Authors:  Marco Santoro; Javier Navarro; John P Fisher
Journal:  Small Methods       Date:  2018-02-07

Review 2.  Organ-on-a-chip engineering: Toward bridging the gap between lab and industry.

Authors:  Qasem Ramadan; Mohammed Zourob
Journal:  Biomicrofluidics       Date:  2020-07-14       Impact factor: 2.800

3.  Flow Behavior Prior to Crosslinking: The Need for Precursor Rheology for Placement of Hydrogels in Medical Applications and for 3D Bioprinting.

Authors:  Jakob M Townsend; Emily C Beck; Stevin H Gehrke; Cory J Berkland; Michael S Detamore
Journal:  Prog Polym Sci       Date:  2019-01-17       Impact factor: 29.190

4.  Effective bioprinting resolution in tissue model fabrication.

Authors:  Amir K Miri; Iman Mirzaee; Shabir Hassan; Shirin Mesbah Oskui; Daniel Nieto; Ali Khademhosseini; Yu Shrike Zhang
Journal:  Lab Chip       Date:  2019-05-13       Impact factor: 6.799

Review 5.  3D Bioprinting for Organ Regeneration.

Authors:  Haitao Cui; Margaret Nowicki; John P Fisher; Lijie Grace Zhang
Journal:  Adv Healthc Mater       Date:  2016-12-20       Impact factor: 9.933

Review 6.  Cardiovascular disease models: A game changing paradigm in drug discovery and screening.

Authors:  Houman Savoji; Mohammad Hossein Mohammadi; Naimeh Rafatian; Masood Khaksar Toroghi; Erika Yan Wang; Yimu Zhao; Anastasia Korolj; Samad Ahadian; Milica Radisic
Journal:  Biomaterials       Date:  2018-10-01       Impact factor: 12.479

Review 7.  Breast cancer models: Engineering the tumor microenvironment.

Authors:  Gokhan Bahcecioglu; Gozde Basara; Bradley W Ellis; Xiang Ren; Pinar Zorlutuna
Journal:  Acta Biomater       Date:  2020-02-09       Impact factor: 8.947

Review 8.  Developments with 3D bioprinting for novel drug discovery.

Authors:  Aishwarya Satpathy; Pallab Datta; Yang Wu; Bugra Ayan; Ertugrul Bayram; Ibrahim T Ozbolat
Journal:  Expert Opin Drug Discov       Date:  2018-11-01       Impact factor: 6.098

9.  3D models of the bone marrow in health and disease: yesterday, today and tomorrow.

Authors:  Annamarija Raic; Toufik Naolou; Anna Mohra; Chandralekha Chatterjee; Cornelia Lee-Thedieck
Journal:  MRS Commun       Date:  2018-09-25       Impact factor: 2.566

Review 10.  Modeling colorectal cancers using multidimensional organoids.

Authors:  Ibrahim M Sayed; Amer Ali Abd El-Hafeez; Priti P Maity; Soumita Das; Pradipta Ghosh
Journal:  Adv Cancer Res       Date:  2021-03-26       Impact factor: 6.242

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