From organotypic culture to body-on-a-chip: A neuroendocrine perspective
- PMID: 30307079
- DOI: 10.1111/jne.12650
From organotypic culture to body-on-a-chip: A neuroendocrine perspective
Abstract
The methods used to study neuroendocrinology have been as diverse as the discoveries to come out of the field. Maintaining live neurones outside of a body in vitro was important from the beginning, building on methods that dated back to at least the first decade of the 20th Century. Neurosecretion defines an essential foundation of neuroendocrinology based on work that began in the 1920s and 1930s. Throughout the first half of the 20th Century, many paradigms arose for studying everything from single neurones to whole organs in vitro. Two of these survived as preeminent systems for use throughout the second half of the century: cell cultures and explant systems. Slice cultures and explants that emerged as organotypic technologies included such neuroendocrine organs such as the brain, pituitary, adrenals and intestine. The vast majority of these studies were carried out in static cultures for which media were changed over a time scale of days. Tissues were used for experimental techniques such as electrical recording of neuronal physiology in single cells and observation by live microscopy. When maintained in vitro, many of these systems only partially capture the in vivo physiology of the organ system of interest, often because of a lack of cellular diversity (eg, neuronal cultures lacking glia). Modern microfluidic methodologies show promise for organ systems, ranging from the reproductive to the gastrointestinal to the brain. Moving forward and striving to understand the mechanisms that drive neuroendocrine signalling centrally and peripherally, there will always be a need to consider the heterogeneous cellular compositions of organs in vivo.
© 2018 British Society for Neuroendocrinology.
Similar articles
-
Models in neuroendocrinology.Math Biosci. 2018 Nov;305:29-41. doi: 10.1016/j.mbs.2018.07.008. Epub 2018 Aug 1. Math Biosci. 2018. PMID: 30075152 Review.
-
Mathematical modeling in neuroendocrinology.Compr Physiol. 2015 Apr;5(2):911-27. doi: 10.1002/cphy.c140034. Compr Physiol. 2015. PMID: 25880518 Review.
-
Thirty years of neuroendocrinology: Technological advances pave the way for molecular discovery.J Neuroendocrinol. 2019 Mar;31(3):e12653. doi: 10.1111/jne.12653. Epub 2018 Nov 29. J Neuroendocrinol. 2019. PMID: 30362285 Review.
-
Structure and function in the conceptual development of mammalian neuroendocrinology between 1920 and 1965.Brain Res Rev. 2011 Jan 7;66(1-2):174-204. doi: 10.1016/j.brainresrev.2010.07.002. Epub 2010 Jul 13. Brain Res Rev. 2011. PMID: 20637232
-
Historical contributions of research on birds to behavioral neuroendocrinology.Horm Behav. 2005 Nov;48(4):395-402. doi: 10.1016/j.yhbeh.2005.06.003. Epub 2005 Jul 27. Horm Behav. 2005. PMID: 16054144 Review.
Cited by
-
Functional bioengineered models of the central nervous system.Nat Rev Bioeng. 2023;1(4):252-270. doi: 10.1038/s44222-023-00027-7. Epub 2023 Feb 7. Nat Rev Bioeng. 2023. PMID: 37064657 Free PMC article. Review.
-
Organ-on-a-chip technologies for biomedical research and drug development: A focus on the vasculature.Smart Med. 2023 Feb 26;2(1):e20220030. doi: 10.1002/SMMD.20220030. Epub 2023 Feb 24. Smart Med. 2023. PMID: 37089706 Free PMC article.
-
Organ-on-a-Chip Models-New Possibilities in Experimental Science and Disease Modeling.Biomolecules. 2024 Dec 9;14(12):1569. doi: 10.3390/biom14121569. Biomolecules. 2024. PMID: 39766276 Free PMC article. Review.
-
Vasoactive intestinal peptide regulates ileal goblet cell production in mice.Physiol Rep. 2020 Feb;8(3):e14363. doi: 10.14814/phy2.14363. Physiol Rep. 2020. PMID: 32026594 Free PMC article.
-
Hybrid biofabrication of neurosecretory structures as a model for neurosecretion.Int J Bioprint. 2022 Dec 30;9(2):659. doi: 10.18063/ijb.v9i2.659. eCollection 2023. Int J Bioprint. 2022. PMID: 37065654 Free PMC article.
Publication types
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources