Neurons burdened by DNA double-strand breaks incite microglia activation through antiviral-like signaling in neurodegeneration.

DNA double-strand breaks (DSBs) are linked to neurodegeneration and senescence. However, it is not clear how DSB-bearing neurons influence neuroinflammation associated with neurodegeneration. Here, we characterize DSB-bearing neurons from the CK-p25 mouse model of neurodegeneration using single-nucleus, bulk, and spatial transcriptomic techniques. DSB-bearing neurons enter a late-stage DNA damage response marked by nuclear factor κB (NFκB)-activated senescent and antiviral immune pathways. In humans, Alzheimer's disease pathology is closely associated with immune activation in excitatory neurons. Spatial transcriptomics reveal that regions of CK-p25 brain tissue dense with DSB-bearing neurons harbor signatures of inflammatory microglia, which is ameliorated by NFκB knockdown in neurons. Inhibition of NFκB in DSB-bearing neurons also reduces microglia activation in organotypic mouse brain slice culture. In conclusion, DSBs activate immune pathways in neurons, which in turn adopt a senescence-associated secretory phenotype to elicit microglia activation. These findings highlight a previously unidentified role for neurons in the mechanism of disease-associated neuroinflammation.

Evaluation of the binding orientations of testosterone in the active site of homology models for CYP2C11 and CYP2C13.

Cytochromes P-450 2C11 and 2C13 are the major CYPs in rat liver microsomes. Despite a high degree of sequence identity, these two isozymes display different positional and regio-specific metabolism of steroid hormones, such as testosterone. CYP2C11 converts testosterone to 2alpha-hydroxyl and 16alpha-hydroxyl metabolites, while CYP2C13 produces primarily the 6beta-hydroxyl metabolite. Using a human CYP2C9 crystal structure as the template, homology models were generated for CYP2C11 and CYP2C13. Despite similar volume of the binding pockets for CYP2C11 and CYP2C13, the models for these two CYPs showed a substantial difference in the shape of the substrate-binding sites. Substrate docking using rigid and induced-fit methods showed that testosterone fits into the substrate-binding sites of both CYP2C11 and CYP2C13 without the need of added constraints. These docking exercises appear to support testosterone binding in both CYP2C11 and CYP2C13. A constrained docking using energy minimization is required to position testosterone for more precise positional and regio-specificity in supporting the observed metabolism. These results demonstrate the complexity of using modeling for understanding the binding of substrate to CYPs, and suggest that, as a complement to the metabolism data, modeling and docking may yield reliable structural information for the molecular interaction between the substrate and the CYPs.