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A Piglet Model of Neonatal Hypoxic-Ischemic Encephalopathy
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Simulating NIRS and MRS measurements during cerebral hypoxia-ischaemia in piglets using a computational model
T Hapuarachchi1,2, T Moroz3, A Bainbridge4
1CoMPLEX, University College London, London, UK. t.hapuarachchi@ucl.ac.uk.
Advances in Experimental Medicine and Biology
|April 15, 2014
Summary
This study monitored brain changes in piglets during hypoxia-ischaemia (HI) using NIRS and MRS. Computational modeling revealed significant drops in glucose consumption and oxygen use, with increased lactate levels.
Area of Science:
- Neuroscience
- Physiology
- Biochemistry
Background:
- Cerebral hypoxia-ischaemia (HI) significantly impacts brain metabolism and function.
- Understanding metabolic shifts during HI is crucial for developing therapeutic strategies.
- Non-invasive monitoring techniques are essential for studying brain responses in vivo.
Purpose of the Study:
- To integrate multimodal physiological measurements with computational modeling to analyze cerebral metabolic changes during hypoxia-ischaemia (HI).
- To optimize a computational model of piglet cerebral metabolism by fitting it to experimental data.
- To quantify metabolic alterations, including glucose consumption, lactate concentration, and oxygen utilization, during and after HI.
Main Methods:
- Utilized broadband near-infrared spectroscopy (NIRS) to measure cerebral haemodynamics and cytochrome-c-oxidase oxidation state.
- Employed phosphorous ((31)P) magnetic resonance spectroscopy (MRS) to assess intracellular pH.
- Integrated NIRS and MRS data with a published computational model of piglet cerebral metabolism for simulation and parameter optimization.
Main Results:
- Successfully simulated intracellular pH shifts and other cellular metabolic changes observed during HI in piglets.
- Optimized model parameters, including glucose metabolism rate and intracellular lactate concentration, through sensitivity analysis.
- The integrated model suggested a 20% decrease in glucose consumption, a ~65% increase in lactate, and a ~35% drop in cerebral metabolic rate of oxygen (CMRO₂) during HI.
Conclusions:
- The computational model, integrated with NIRS and MRS data, reasonably fits experimental observations of cerebral metabolism during HI.
- The study provides quantitative estimates of metabolic derangements during HI, highlighting significant alterations in energy substrate utilization and waste product accumulation.
- This integrated approach offers a valuable tool for studying brain pathophysiology and evaluating potential interventions in HI models.
