Effects of PARP-1 signaling and conjugated linoleic acid on brain cell bioenergetics and survival
Bibliographic record
Abstract
Glutamate is the primary excitatory neurotransmitter in the central nervous system. Extracellular glutamate concentrations are tightly regulated to avoid over-stimulation of glutamate receptors, which leads to a cascade of deleterious processes collectively known as excitotoxicity. Excitotoxicity is common to several neurodegenerative disorders and CNS injuries, including stroke and Alzheimer’s disease (AD). The projects described in this thesis were designed to uncover novel protective pathways in excitotoxic neurodegeneration. Excessive activation of the DNA repair enzyme, poly(ADP-ribose) polymerase-1 (PARP-1), is a convergence point for neuron death signaling in excitotoxic pathways. In AD, the peptide amyloid-β1-42 (Aβ1-42) is aberrantly produced, leading to excitotoxic neuron death in vitro. To investigate links between Aβ1-42 and PARP, we treated cultured cortical neurons with Aβ1-42 and determined whether PARP-1 contributes to neuron death. Increased neuron death was observed after Aβ1-42 exposure. A non-selective PARP-1/2 inhibitor significantly reduced Aβ1-42-induced death while elimination of PARP-1 alone was not neuroprotective. This suggests that PARP-2 or combined effects of PARP-1 and PARP-2 are required for Aβ1-42-induced neuron death. A hallmark of PARP over-activation is depletion of intracellular NAD+ and ATP levels, yet nearly all studies examining adenine nucleotide levels use separate biochemical samples to measure nucleotides individually. We developed two HPLC methods for simultaneous separation of NAD+, ATP, ADP and AMP. We determined that PARP-1 activation in astrocytes leads to near complete NAD+ depletion, followed by partial loss of ATP pools and total adenine nucleotide pools. Finally, we hypothesized that conjugated linoleic acid (CLA), a naturally occurring polyunsaturated fatty acid, is capable of enhancing neuron survival after an excitotoxic insult. Cultured cortical neurons were exposed to glutamate in the presence and absence of CLA. CLA levels likely achievable in human plasma and brain tissue during dietary supplementation regimens, protected neurons against glutamate excitotoxicity when given during or up to five hours after glutamate exposure. Several markers of mitochondrial damage and intrinsic apoptosis were examined. CLA stabilized mitochondrial membrane potential and permeability, shedding light on the mechanism of CLA neuroprotection. Overall, our research suggests a role for PARP in Aβ1-42 toxicity and identifies a novel role for CLA in neuroprotection following excitotoxicity.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".