Literature DB >> 31264092

Microfluidic Brain-on-a-Chip: Perspectives for Mimicking Neural System Disorders.

Mirza Ali Mofazzal Jahromi1,2, Amir Abdoli2,3,4, Mohammad Rahmanian2,5, Hassan Bardania6, Mehrdad Bayandori7,8, Seyed Masoud Moosavi Basri9, Alireza Kalbasi10, Amir Reza Aref11, Mahdi Karimi12,13,14,15,16, Michael R Hamblin17,18,19.   

Abstract

Neurodegenerative diseases (NDDs) include more than 600 types of nervous system disorders in humans that impact tens of millions of people worldwide. Estimates by the World Health Organization (WHO) suggest NDDs will increase by nearly 50% by 2030. Hence, development of advanced models for research on NDDs is needed to explore new therapeutic strategies and explore the pathogenesis of these disorders. Different approaches have been deployed in order to investigate nervous system disorders, including two-and three-dimensional (2D and 3D) cell cultures and animal models. However, these models have limitations, such as lacking cellular tension, fluid shear stress, and compression analysis; thus, studying the biochemical effects of therapeutic molecules on the biophysiological interactions of cells, tissues, and organs is problematic. The microfluidic "organ-on-a-chip" is an inexpensive and rapid analytical technology to create an effective tool for manipulation, monitoring, and assessment of cells, and investigating drug discovery, which enables the culture of various cells in a small amount of fluid (10-9 to 10-18 L). Thus, these chips have the ability to overcome the mentioned restrictions of 2D and 3D cell cultures, as well as animal models. Stem cells (SCs), particularly neural stem cells (NSCs), induced pluripotent stem cells (iPSCs), and embryonic stem cells (ESCs) have the capability to give rise to various neural system cells. Hence, microfluidic organ-on-a-chip and SCs can be used as potential research tools to study the treatment of central nervous system (CNS) and peripheral nervous system (PNS) disorders. Accordingly, in the present review, we discuss the latest progress in microfluidic brain-on-a-chip as a powerful and advanced technology that can be used in basic studies to investigate normal and abnormal functions of the nervous system.

Entities:  

Keywords:  Brain; Microfluidic brain-on-a-chip; Nervous system; Neurodegenerative diseases; Stem cells

Mesh:

Year:  2019        PMID: 31264092      PMCID: PMC6842047          DOI: 10.1007/s12035-019-01653-2

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  154 in total

1.  Microfluidic engineering of neural stem cell niches for fate determination.

Authors:  Yachen Wang; Jingyun Ma; Na Li; Liang Wang; Liming Shen; Yu Sun; Yajun Wang; Jingyuan Zhao; Wenjuan Wei; Yan Ren; Jing Liu
Journal:  Biomicrofluidics       Date:  2017-01-25       Impact factor: 2.800

2.  Neurodegenerative diseases.

Authors:  Marie-Thérèse Heemels
Journal:  Nature       Date:  2016-11-10       Impact factor: 49.962

Review 3.  Organ/body-on-a-chip based on microfluidic technology for drug discovery.

Authors:  Hiroshi Kimura; Yasuyuki Sakai; Teruo Fujii
Journal:  Drug Metab Pharmacokinet       Date:  2017-11-13       Impact factor: 3.614

Review 4.  Nanomedicine and advanced technologies for burns: Preventing infection and facilitating wound healing.

Authors:  Mirza Ali Mofazzal Jahromi; Parham Sahandi Zangabad; Seyed Masoud Moosavi Basri; Keyvan Sahandi Zangabad; Ameneh Ghamarypour; Amir R Aref; Mahdi Karimi; Michael R Hamblin
Journal:  Adv Drug Deliv Rev       Date:  2017-08-04       Impact factor: 15.470

Review 5.  Rare Neurodegenerative Diseases: Clinical and Genetic Update.

Authors:  Antoni Matilla-Dueñas; Marc Corral-Juan; Agustí Rodríguez-Palmero Seuma; Dolores Vilas; Lourdes Ispierto; Sara Morais; Jorge Sequeiros; Isabel Alonso; Víctor Volpini; Carmen Serrano-Munuera; Guillem Pintos-Morell; Ramiro Álvarez; Ivelisse Sánchez
Journal:  Adv Exp Med Biol       Date:  2017       Impact factor: 2.622

6.  A modular approach to create a neurovascular unit-on-a-chip.

Authors:  Anil Kumar H Achyuta; Amy J Conway; Richard B Crouse; Emilee C Bannister; Robin N Lee; Christopher P Katnik; Adam A Behensky; Javier Cuevas; Shivshankar S Sundaram
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

7.  A microchip for quantitative analysis of CNS axon growth under localized biomolecular treatments.

Authors:  Jaewon Park; Sunja Kim; Su Inn Park; Yoonsuck Choe; Jianrong Li; Arum Han
Journal:  J Neurosci Methods       Date:  2013-10-24       Impact factor: 2.390

Review 8.  Opportunities and challenges in developing relevant animal models for Alzheimer's disease.

Authors:  Fernanda G De Felice; Douglas P Munoz
Journal:  Ageing Res Rev       Date:  2016-01-30       Impact factor: 10.895

9.  Engineering a Brain Cancer Chip for High-throughput Drug Screening.

Authors:  Yantao Fan; Duong Thanh Nguyen; Yasemin Akay; Feng Xu; Metin Akay
Journal:  Sci Rep       Date:  2016-05-06       Impact factor: 4.379

Review 10.  Organ-on-a-Chip: New Platform for Biological Analysis.

Authors:  Fan An; Yueyang Qu; Xianming Liu; Runtao Zhong; Yong Luo
Journal:  Anal Chem Insights       Date:  2015-11-29
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  23 in total

1.  Microphysiological Modeling of the Human Endometrium.

Authors:  Hannes Campo; Alina Murphy; Sule Yildiz; Teresa Woodruff; Irene Cervelló; J Julie Kim
Journal:  Tissue Eng Part A       Date:  2020-04-28       Impact factor: 3.845

2.  Cancer Stem Cells in Tumor Modeling: Challenges and Future Directions.

Authors:  Elvan Dogan; Asli Kisim; Gizem Bati-Ayaz; Gregory J Kubicek; Devrim Pesen-Okvur; Amir K Miri
Journal:  Adv Nanobiomed Res       Date:  2021-06-23

Review 3.  Modeling Neurodegenerative Diseases Using In Vitro Compartmentalized Microfluidic Devices.

Authors:  Louise Miny; Benoît G C Maisonneuve; Isabelle Quadrio; Thibault Honegger
Journal:  Front Bioeng Biotechnol       Date:  2022-06-24

Review 4.  Links between Nutrition, Infectious Diseases, and Microbiota: Emerging Technologies and Opportunities for Human-Focused Research.

Authors:  Manuela Cassotta; Tamara Yuliett Forbes-Hernández; Ruben Calderón Iglesias; Roberto Ruiz; Maria Elexpuru Zabaleta; Francesca Giampieri; Maurizio Battino
Journal:  Nutrients       Date:  2020-06-19       Impact factor: 5.717

5.  Multi-Functionalized Self-Assembling Peptides as Reproducible 3D Cell Culture Systems Enabling Differentiation and Survival of Various Human Neural Stem Cell Lines.

Authors:  Amanda Marchini; Chiara Favoino; Fabrizio Gelain
Journal:  Front Neurosci       Date:  2020-05-05       Impact factor: 4.677

Review 6.  Advanced Organ-on-a-Chip Devices to Investigate Liver Multi-Organ Communication: Focus on Gut, Microbiota and Brain.

Authors:  Lucia Boeri; Luca Izzo; Lorenzo Sardelli; Marta Tunesi; Diego Albani; Carmen Giordano
Journal:  Bioengineering (Basel)       Date:  2019-09-28

Review 7.  Microphysiological systems to study tumor-stroma interactions in brain cancer.

Authors:  Edward R Neves; Brendan A C Harley; Sara Pedron
Journal:  Brain Res Bull       Date:  2021-06-21       Impact factor: 3.715

Review 8.  Unprecedented Potential for Neural Drug Discovery Based on Self-Organizing hiPSC Platforms.

Authors:  Agustín Cota-Coronado; Jennifer C Durnall; Néstor Fabián Díaz; Lachlan H Thompson; N Emmanuel Díaz-Martínez
Journal:  Molecules       Date:  2020-03-04       Impact factor: 4.411

Review 9.  Recent Progress in Lab-On-a-Chip Systems for the Monitoring of Metabolites for Mammalian and Microbial Cell Research.

Authors:  Esma Dervisevic; Kellie L Tuck; Nicolas H Voelcker; Victor J Cadarso
Journal:  Sensors (Basel)       Date:  2019-11-18       Impact factor: 3.576

10.  Macro-, Micro- and Nano-Roughness of Carbon-Based Interface with the Living Cells: Towards a Versatile Bio-Sensing Platform.

Authors:  Lena Golubewa; Hamza Rehman; Tatsiana Kulahava; Renata Karpicz; Marian Baah; Tommy Kaplas; Ali Shah; Sergei Malykhin; Alexander Obraztsov; Danielis Rutkauskas; Marija Jankunec; Ieva Matulaitienė; Algirdas Selskis; Andrei Denisov; Yuri Svirko; Polina Kuzhir
Journal:  Sensors (Basel)       Date:  2020-09-04       Impact factor: 3.576

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