This hypothesis proposes that CD38, the primary NAD+-consuming enzyme, represents a more effective therapeutic target than NAD+ precursor supplementation for preventing poly(ADP-ribose) polymerase (PARP1)-driven metabolic catastrophe. CD38 accounts for approximately 80-90% of cellular NAD+ consumption through its NADase and ADP-ribosyl cyclase activities, creating a metabolic bottleneck that limits NAD+ availability for essential processes including SIRT1/3-mediated mitochondrial biogenesis and PARP1-dependent DNA repair. During conditions of oxidative stress or DNA damage, PARP1 hyperactivation rapidly depletes cellular NAD+ pools, triggering a cascade of metabolic dysfunction including impaired glycolysis, compromised mitochondrial respiration, and reduced SIRT1/3 activity. Rather than attempting to replenish NAD+ through precursor supplementation, which may be inefficient due to continued CD38-mediated degradation, selective CD38 inhibition using compounds such as 78c or apigenin would preserve endogenous NAD+ pools more effectively.
...Curated pathway from expert analysis
flowchart TD
A["DNA Single-Strand Breaks<br/>Oxidative Stress in AD"]
B["PARP1 Hyperactivation<br/>PAR Polymer Synthesis"]
C["NAD+ Depletion<br/>40-60% Loss in AD"]
D["SIRT1 Inactivation<br/>Deacetylase Impaired"]
E["PGC1alpha Inactivation<br/>Mitochondrial Biogenesis Loss"]
F["Energy Failure<br/>Neuronal Death"]
G["PARP1 Inhibitor<br/>Olaparib/Veliparib"]
A --> B
B --> C
C --> D
D --> E
E --> F
G -.->|"blocks"| B
style A fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a
style F fill:#b71c1c,stroke:#ef9a9a,color:#ef9a9a
style G fill:#1a237e,stroke:#4fc3f7,color:#4fc3f7No linked papers recorded for this hypothesis yet.
Median TPM across 13 brain regions for CD38, PARP1, SIRT1/3 from GTEx v10.
No clinical trials data linked to this hypothesis yet.
No curated ClinVar variants loaded for this hypothesis.
Run scripts/backfill_clinvar_variants.py to fetch P/LP/VUS variants.
No DepMap CRISPR Chronos data found for CD38, PARP1, SIRT1.
Run python3 scripts/backfill_hypothesis_depmap.py to populate.