GDF-11, GDF-15, Jag-1, and leptin in neuronal-derived extracellular vesicles as aging-related biomarkers to identify individuals at risk of Alzheimer's dementia: A pilot study.
Lanzillotta S, Boccardi V, et al. • Neurobiology of disease • 2026
A minimal nEV-derived panel including lower GDF-11 and higher GDF-15, Jag-1, and Leptin discriminated AD from controls and was associated with MRI-determined cortical atrophy in regions vulnerable to AD, with nEV biomarkers more accurately reflecting brain pathology than those measured in plasma.
Key Findings
Results
Biomarkers measured in neuronal-derived extracellular vesicles (nEVs) more accurately reflected brain pathology than those measured in plasma.
The study evaluated aging-related biomarkers in both plasma and nEVs from cognitively healthy and AD subjects.
nEV-derived biomarkers showed stronger associations with cognitive and functional decline compared to plasma measurements.
Key associations observed in nEVs were confirmed in post-mortem brain tissue from the inferior parietal lobule (IPL).
The authors characterize nEVs as providing 'superior sensitivity compared to plasma.'
Results
A minimal nEV-derived panel of four biomarkers (lower GDF-11 and higher GDF-15, Jag-1, and Leptin) discriminated AD from controls.
The panel was identified after correction for age and sex.
The discriminating panel consisted of lower GDF-11 combined with higher GDF-15, Jag-1, and Leptin.
This panel was also associated with MRI-determined cortical atrophy in regions vulnerable to AD.
The study is described as a pilot study, suggesting preliminary sample sizes.
Results
Sex-specific patterns of nEV biomarkers emerged between AD males and females.
GDF-15 was higher in nEVs from females with AD.
IL-6, IL-18, and Jag-1 were higher in nEVs from males with AD.
These sex-specific differences were identified in nEV measurements, underscoring sex-modulated aging signatures.
Methods
Post-mortem IPL brain samples from control, pre-clinical AD (PCAD), MCI, and AD cases were used to validate nEV biomarker findings.
Four groups were represented in post-mortem tissue: control (Ctr), pre-clinical AD (PCAD), mild cognitive impairment (MCI), and AD.
Key associations observed in nEVs were confirmed in post-mortem brain tissue.
This convergence with post-mortem findings was described as underscoring 'biological validity and translational potential' of the nEV biomarkers.
Results
The nEV-derived biomarker panel was associated with MRI-determined cortical atrophy in brain regions vulnerable to AD.
MRI data were included alongside cognitive tests and functional assessments.
The association was specifically with cortical atrophy in regions known to be vulnerable to AD pathology.
The nEV panel markers captured 'aging-related molecular trajectories that were disrupted in AD.'
Conclusions
The study identified aging-related biomarkers in nEVs as capturing early, brain-specific aging signatures relevant to AD risk stratification.
Biomarkers studied included GDF-11, GDF-15, Jag-1, Leptin, IL-6, and IL-18.
The markers were described as capturing 'early, brain-specific and sex-modulated aging signatures.'
The authors suggest these results 'highlight the value of nEVs for stratifying individuals at higher risk of AD.'
The findings are presented as supporting integration of nEV biomarkers into precision medicine approaches for dementia prevention.
Lanzillotta S, Boccardi V, Zulli B, Napoli A, Paolozzi G, Angelini R, et al.. (2026). GDF-11, GDF-15, Jag-1, and leptin in neuronal-derived extracellular vesicles as aging-related biomarkers to identify individuals at risk of Alzheimer's dementia: A pilot study.. Neurobiology of disease. https://doi.org/10.1016/j.nbd.2026.107291