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Experimental evaluation and computational modeling of tissue damage from low-flow push-pull perfusion sampling in
David E Cepeda1, Leah Hains2, David Li3
1University of Michigan, Department of Biomedical Engineering, 1101 Beal Ave, Ann Arbor, MI, 49109, United States; University of Michigan, Department of Chemistry, 930N University Ave, Ann Arbor, MI, 48109, United States.
Journal of Neuroscience Methods
|January 24, 2015
Summary
Low-flow push-pull perfusion offers improved spatial resolution for in vivo brain sampling compared to microdialysis. This method shows reduced tissue damage, making it a viable technique for neurotransmission studies.
Area of Science:
- Neuroscience
- Biomedical Engineering
Background:
- In vivo neurochemical monitoring is crucial for understanding neurotransmission.
- Microdialysis is a common technique but suffers from poor spatial resolution.
Purpose of the Study:
- To evaluate acute tissue response to low-flow push-pull perfusion for in vivo central nervous system sampling.
- To compare tissue damage and spatial resolution with existing methods like microdialysis.
Main Methods:
- Utilized nuclear stains (Sytox Orange, Hoechst 33342) to quantify damaged and total cells in situ.
- Implanted push-pull perfusion probes in the striatum at low flow rates (50 nL/min) for 200 minutes.
- Assessed tissue damage by calculating the ratio of damaged to total cells around the probes.
Main Results:
- Low-flow push-pull perfusion damaged 24±4% of cells, significantly less than microdialysis (33±8%).
- Flow rate did not impact cell damage in low-flow push-pull perfusion.
- Push-pull perfusion demonstrated 1500-fold better spatial resolution than microdialysis.
Conclusions:
- Low-flow push-pull perfusion is a viable brain sampling method with high temporal and spatial resolution potential.
- Tissue damage is primarily associated with probe insertion, suggesting smaller probes may further reduce damage.
- This technique offers a promising alternative for detailed in vivo neurotransmission studies.
Keywords:
Brain tissue damageCell viabilityComputational modelingIn vivo samplingMicrodialysisPush–pull perfusion
