The Tony Wyss-Coray Lab at Stanford University pioneers studies of brain aging and rejuvenation, combining systems biology with experimental neuroscience. Researchers in this lab examine how circulating factors reshape the aging mammalian brain and explore reversal strategies in models of decline.
By cross-disciplinary teams and advanced omics platforms, the lab uncovers mechanisms shared across species, from mice to humans. These insights inform timelines of cognitive decline and support development of restorative interventions targeting the aging neurosystem.
| Principal Investigator | Core Focus | Model Systems | Key Outputs | Impact Metrics |
|---|---|---|---|---|
| Tony Wyss-Coray | Neurovascular signaling in aging | Mouse models, human CSF | High-impact papers, patents | Citations, trial translation |
| Research Scientists | Multi-omics integration | Post-mortem brain, plasma | Datasets, biomarkers | Collaborations, grants |
| Clinical Partners | Trial design for cognitive rescue | Early-stage patients | Phase I/II protocols | Safety signals, efficacy readouts |
| Bioinformatics Core | Data harmonization | Cross-study cohorts | Open resources, pipelines | Reusability, training |
Neurovascular Communication in Systemic Aging
This research axis dissects how blood-borne signals and vascular integrity govern synaptic pruning, clearance pathways, and metabolic support in the aged brain. Single-cell maps, ligand–receptor inference, and perturbation experiments reveal nodes where rejuvenation factors restore youthful circuit properties.
Parabiosis and Heterochronic Cohorts
Parabiosis studies and heterochronic transfusion experiments quantify how young systemic environments reshape aged neural gene programs. These designs clarify directional effects and prioritize candidate factors for targeted delivery.
Transcriptomic and Epigenetic Reprogramming
Multi-omics strategies combine bulk and single-cell transcriptomics, ATAC-seq, and methylome profiling to track time-dependent gene regulation in cortex, hippocampus, and choroid plexus. Integration across datasets identifies convergent regulatory modules that respond to systemic interventions.
Longitudinal Sampling and Cohort Design
Longitudinal cohorts spanning months to years enable distinction of primary aging trajectories from reversible features. Repeated measures mixed models separate noise from robust signatures predictive of cognitive endpoints.
Intervention Pipeline and Translational Readout
The lab moves from discovery to intervention by testing growth factors, small molecules, and cell-free biologics in models of surgical stress, viral encephalitis, and metabolic stress. Cognitive tasks, electrophysiology, and imaging outcomes translate mechanistic insights into clinically meaningful endpoints.
Trial-Ready Biomarker Selection
Candidate biomarkers are validated in pre-clinical models and human plasma, cerebrospinal fluid, and imaging archives. Criteria include dynamic range, independence from comorbidities, and responsiveness to intervention intensity.
Strategies and Recommendations for Aging Brain Research
- Align experimental timelines with human relevance by anchoring mouse ages to standardized life-stage percentiles
- Embed rigorous randomization and blinding in surgical and behavioral paradigms
- Use orthogonal assays to confirm that cognitive improvements reflect genuine circuit function rather than performance speed or motivation changes
- Share code, raw sequencing, and metadata to enable independent validation and meta-analysis across cohorts
FAQ
Reader questions
What specific aging phenotypes does the lab measure in mouse models?
The lab quantifies spatial memory in Morris water maze, attention in attentional set shifting, anxiety-related behavior in open field tests, and motor coordination on rotarod, complemented by histological markers of neuroinflammation and angiogenesis.
How are human plasma and CSF samples processed for multi-omics analyses?
Samples undergo standardized collection, rapid aliquoting, ultrafiltration, and multiplexed assays including cytokine panels, proteomics, metabolomics, and extracellular vesicle profiling, with rigorous QC to ensure batch effects do not confound aging signals.
Which cognitive endpoints are most sensitive to systemic rejuvenation factors?
Pattern separation in contextual fear conditioning, reversal learning in discrimination tasks, and working memory in delayed alternation protocols show robust changes after modulation of blood-borne cues, whereas simple speed tasks are less responsive.
What are the main translational risks identified by the lab?
Risks include off-target effects in non-neural tissues, sex-dependent variability in response, donor–recipient immune mismatch in parabiosis, and potential exacerbation of pre-existing pathologies if timing or dosage is misaligned with disease stage.