A 6-step Approach to Gain Higher Quality Results From Organotypic Hippocampal Brain Slices in a Traumatic Brain Injury Model
Introduction: Organotypic Hippocampal Brain Slices (OHBS) provide a better alternative to in vivo models to scrutinize Traumatic Brain Injury (TBI). We followed a well-established TBI protocol but noticed that several factors might influence the results in such a set-up. Here, we describe a structur...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Iran University of Medical Sciences
2019-09-01
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Series: | Basic and Clinical Neuroscience |
Subjects: | |
Online Access: | http://bcn.iums.ac.ir/article-1-1019-en.html |
Summary: | Introduction: Organotypic Hippocampal Brain Slices (OHBS) provide a better alternative to in vivo models to scrutinize Traumatic Brain Injury (TBI). We followed a well-established TBI protocol but noticed that several factors might influence the results in such a set-up. Here, we describe a structured approach to generate more comparable results and discuss why specific eligibility criteria should be applied.
Methods: We defined necessary checkpoints and developed inclusion and exclusion criteria that took into consideration the observed variation in such a model. Objective measures include the identification and exclusion of pre-damaged slices and outliers. In this study, six steps were outlined.
Results: A six-step approach to enhance comparability is proposed and summarized in a flowchart. We applied the suggested measures to data derived from our TBI-experiments, examining the impact of three different interventions in 1459 OHBS. Our exemplary results show that more precise findings are ensured through equal requirements set for all slices.
Conclusion: Results in a TBI experiment on OHBS should be critically analyzed as inhomogeneity may occur. In other words, a structured approach to comparing the results should be followed to ensure achieving more precise findings. Further research is recommended to confirm and further develop this framework. |
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ISSN: | 2008-126X 2228-7442 |