Integrative Constraint-Based Modeling and Proteomics Uncover Astrocytic Metabolic Adaptations to the Post-TBI...

Area of Science:

• Neuroscience
• Metabolic Engineering
• Systems Biology

Background:

• Traumatic brain injury (TBI) affects millions globally, with mild TBI (mTBI) causing diverse neurological outcomes.
• Astrocytes are crucial for central nervous system (CNS) homeostasis and brain injury response.
• mTBI is linked to metabolic dysregulation, impacting long-term neurological function.

Purpose of the Study:

• To investigate astrocyte metabolic adaptation to the post-TBI microenvironment.
• To identify in vivo metabolic shifts contributing to chronic dysfunction after mTBI.
• To explore astrocyte metabolic strategies in response to hypoxia and acidity.

Main Methods:

• Utilized an astrocyte-specific genome-scale metabolic model.
• Inputted biologically relevant uptake rates for healthy astrocytes.
• Integrated metabolic flux analysis with mass spectrometry-based proteomics from mTBI rats.

Main Results:

• Modeled metabolic fluxes and proteomic data showed significant alignment.
• Identified substantial changes in glycolysis, oxidative phosphorylation, the TCA cycle, and the Pentose Phosphate Pathway.
• Predicted astrocyte metabolic alterations in response to hypoxic and acidic conditions.

Conclusions:

• Astrocyte metabolic reprogramming is a key response to mTBI.
• Aligned metabolic and proteomic signatures suggest core survival strategies.
• Identified metabolic pathways may serve as biomarkers for TBI adaptation and recovery capacity.