001     283091
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024 7 _ |a 10.1007/s00415-025-13564-5
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024 7 _ |a pmid:41442069
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024 7 _ |a pmc:PMC12738631
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024 7 _ |a 0367-004X
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024 7 _ |a 0012-1037
|2 ISSN
024 7 _ |a 0340-5354
|2 ISSN
024 7 _ |a 1432-1459
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037 _ _ |a DZNE-2025-01498
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Özlü, Serap
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245 _ _ |a CSF biomarkers of neuroinflammation are associated with regional atrophy.
260 _ _ |a [Darmstadt]
|c 2025
|b Steinkopff
336 7 _ |a article
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336 7 _ |a Journal Article
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336 7 _ |a ARTICLE
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520 _ _ |a 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.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.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).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.
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650 _ 7 |a Alzheimer’s disease
|2 Other
650 _ 7 |a Basal forebrain
|2 Other
650 _ 7 |a Biomarker
|2 Other
650 _ 7 |a Hippocampus
|2 Other
650 _ 7 |a Neuroinflammation
|2 Other
650 _ 7 |a Biomarkers
|2 NLM Chemicals
650 _ 7 |a Chitinase-3-Like Protein 1
|2 NLM Chemicals
650 _ 7 |a CHI3L1 protein, human
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Atrophy: pathology
|2 MeSH
650 _ 2 |a Atrophy: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Biomarkers: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Aged
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging
|2 MeSH
650 _ 2 |a Hippocampus: pathology
|2 MeSH
650 _ 2 |a Hippocampus: diagnostic imaging
|2 MeSH
650 _ 2 |a Alzheimer Disease: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Alzheimer Disease: pathology
|2 MeSH
650 _ 2 |a Chitinase-3-Like Protein 1: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Neuroinflammatory Diseases: cerebrospinal fluid
|2 MeSH
650 _ 2 |a Neuroinflammatory Diseases: pathology
|2 MeSH
650 _ 2 |a Longitudinal Studies
|2 MeSH
650 _ 2 |a Middle Aged
|2 MeSH
650 _ 2 |a Aged, 80 and over
|2 MeSH
700 1 _ |a Dyrba, Martin
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700 1 _ |a Grazia, Alice
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700 1 _ |a Brosseron, Frederic
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700 1 _ |a Buerger, Katharina
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700 1 _ |a Ewers, Michael
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700 1 _ |a Glanz, Wenzel
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700 1 _ |a Hansen, Niels
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700 1 _ |a Kronmüller, Marie
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700 1 _ |a Laske, Christoph
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700 1 _ |a Lüsebrink, Falk
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700 1 _ |a Mengel, David
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700 1 _ |a Perneczky, Robert
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700 1 _ |a Peters, Oliver
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700 1 _ |a Priller, Josef
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700 1 _ |a Ramirez, Alfredo
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700 1 _ |a Schneider, Anja
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700 1 _ |a Synofzik, Matthis
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700 1 _ |a Wiltfang, Jens
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700 1 _ |a Heneka, Michael T
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700 1 _ |a Jessen, Frank
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700 1 _ |a Teipel, Stefan
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773 _ _ |a 10.1007/s00415-025-13564-5
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