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ORCID: https://orcid.org/0000-0002-3353-3167; Grazia, Alice
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ORCID: https://orcid.org/0000-0003-3137-7516; Buerger, Katharina
ORCID: https://orcid.org/0000-0002-5898-9953; Dechent, Peter
ORCID: https://orcid.org/0009-0006-4005-3352; Düzel, Emrah
ORCID: https://orcid.org/0000-0002-0139-5388; Ewers, Michael
ORCID: https://orcid.org/0000-0001-5231-1714; Fliessbach, Klaus
ORCID: https://orcid.org/0000-0002-0183-7510; Glanz, Wenzel
ORCID: https://orcid.org/0000-0002-5865-4176; Hansen, Niels
ORCID: https://orcid.org/0000-0001-5785-9594; Hellmann-Regen, Julian
ORCID: https://orcid.org/0000-0003-0411-9204; Hetzer, Stefan
ORCID: https://orcid.org/0000-0002-1773-1518; Janowitz, Daniel
ORCID: https://orcid.org/0009-0003-4090-547X; Kilimann, Ingo
ORCID: https://orcid.org/0000-0002-3269-4452; Kronmüller, Marie; Laske, Christoph
ORCID: https://orcid.org/0009-0009-3434-936X; Lüsebrink, Falk; Mengel, David
ORCID: https://orcid.org/0000-0002-4133-7182; Perneczky, Robert
ORCID: https://orcid.org/0000-0003-1981-7435; Peters, Oliver
ORCID: https://orcid.org/0000-0003-0568-2998; Priller, Josef
ORCID: https://orcid.org/0000-0001-7596-0979; Ramirez, Alfredo
ORCID: https://orcid.org/0000-0003-4991-763X; Rauchmann, Boris-Stephan
ORCID: https://orcid.org/0000-0003-4547-6240; Rostamzadeh, Ayda
ORCID: https://orcid.org/0000-0001-5189-134X; Schneider, Anja
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ORCID: https://orcid.org/0000-0001-9854-2972; Spruth, Eike Jakob; Synofzik, Matthis
ORCID: https://orcid.org/0000-0002-2280-7273; Wiltfang, Jens
ORCID: https://orcid.org/0000-0003-1492-5330; Heneka, Michael T; Jessen, Frank
ORCID: https://orcid.org/0000-0003-1067-2102 und Teipel, Stefan
ORCID: https://orcid.org/0000-0002-3586-3194
(2026):
CSF biomarkers of neuroinflammation are associated with regional atrophy.
In: Journal of Neurology, Bd. 273, 46
[PDF, 1MB]
Abstract
Background
Neuroinflammation is central to Alzheimer’s disease (AD) pathogenesis, yet its contribution to region‐specific brain atrophy remains unclear. We examined whether cerebrospinal fluid (CSF) biomarkers predict longitudinal atrophy in the hippocampus and basal forebrain and mediate the impact of AD pathology.
Methods
Data from 227 DELCODE participants with baseline CSF measures and longitudinal structural MRI were analyzed. Four latent factors (synaptic, microglia, chemokine/cytokine, complement) were derived to capture shared variance across biomarkers. Latent factors represent unobserved biological domains inferred from related CSF markers. In addition, four single biomarkers (neurogranin, sTREM2, YKL-40, ferritin) were tested separately. Regional atrophy rates were estimated using linear mixed-effects models including biomarker × time, A/T classification, diagnosis, and covariates (age, sex, education, ApoE-ε4). Individual slopes were then entered into mediation models.
Results
Higher synaptic latent factor (β = − 0.019, pFDR = 0.021) and YKL-40 (β = − 0.020, pFDR = 0.025) significantly predicted hippocampal atrophy. Only these two markers remained significant after correction for multiple comparisons. Mediation analyses revealed significant indirect effects of the synaptic latent factor and YKL-40 on hippocampal atrophy across all A/T groups. No biomarker was associated with basal forebrain atrophy (pFDR > 0.05).
Conclusions
Latent factors captured shared biological variance across related biomarkers and provided a more robust representation of underlying biological domains than single biomarkers. This approach identified synaptic dysfunction and astroglial activation as key links between AD pathology and hippocampal neurodegeneration. These findings highlight synaptic and glial pathways as promising targets for disease-modifying interventions.
| Dokumententyp: | Zeitschriftenartikel |
|---|---|
| Fakultät: | Medizin > Munich Cluster for Systems Neurology (SyNergy)
Medizin > Klinikum der LMU München > Klinik und Poliklink für Psychiatrie und Psychotherapie |
| Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
| URN: | urn:nbn:de:bvb:19-epub-131260-6 |
| ISSN: | 0340-5354 |
| Sprache: | Englisch |
| Dokumenten ID: | 131260 |
| Datum der Veröffentlichung auf Open Access LMU: | 20. Jan. 2026 13:53 |
| Letzte Änderungen: | 20. Jan. 2026 13:53 |
| DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 390857198 |
| DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 374011584 |
