Back

Network-based analyses identify GFAP as a cross-domain hub linking synaptic, neuronal, and inflammatory markers in Alzheimer's disease

Trasciatti, C.; Pilotto, A.; Tolassi, C.; Ragni, F.; Marcello, E.; Moroni, M.; Bovo, S.; Martinuzzo, C.; Pelucchi, S.; Caratozzolo, S.; Girotto, I.; D'Andrea, L.; Stringhi, R.; L. Benedet, A.; Pola, I.; Zetterberg, H.; Ashton, N.; Jurman, G.; di Luca, M.; Padovani, A.

2026-06-01 neurology
10.64898/2026.05.22.26353857 medRxiv
Show abstract

Alzheimer's disease (AD) is characterized by complex alterations in synaptic, glial, neuronal and inflammatory markers. Given its emerging role at the interface of synaptic dysfunction and inflammation, the astrocytic marker GFAP may represent a cross-domain hub linking synaptic, neuronal and inflammatory alterations. Using multivariate and network-based analyses we examined the relationships among cerebrospinal fluid (CSF) biomarkers of astrocytic activation and synaptic failure, inflammation, and neurodegeneration in biologically confirmed AD patients and healthy controls (HC). We studied 60 AD patients and 40 HC. CSF concentrations of Neurogranin, SNAP-25, CAP2, NfL, GFAP, IL-1 , IL-1{beta}, IL-8, MCP-1, TNF were measured. Associations were assessed using Spearman correlations, LASSO regression, and network analysis to characterize multivariate dependency structures. Compared with controls, AD patients showed significantly higher CSF levels of Neurogranin, SNAP-25, CAP2, NfL, GFAP, IL-1{beta}, TNF- .. In AD, synaptic biomarkers were strongly intercorrelated and associated with astroglial activation, inflammatory markers, and tau-related pathology. Network analysis identified GFAP as a cross-domain hub linking synaptic, inflammatory, and neurodegenerative domains in AD. In controls, GFAP was mainly associated with neuronal injury markers. Network-based modelling revealed a disease-related reorganization of biomarker connectivity in AD, with GFAP occupying a central cross-domain position, supporting a systems-level view of AD pathophysiology.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Neurobiology of Disease
134 papers in training set
Top 0.5%
9.9%
2
Alzheimer's Research & Therapy
52 papers in training set
Top 0.2%
8.3%
3
Brain Communications
147 papers in training set
Top 0.2%
8.2%
4
Brain
154 papers in training set
Top 0.7%
8.2%
5
Alzheimer's & Dementia
143 papers in training set
Top 0.9%
8.2%
6
Frontiers in Aging Neuroscience
67 papers in training set
Top 0.6%
6.3%
7
Scientific Reports
3102 papers in training set
Top 25%
4.8%
50% of probability mass above
8
Molecular Psychiatry
242 papers in training set
Top 1.0%
3.5%
9
Neurobiology of Aging
95 papers in training set
Top 0.8%
3.5%
10
NeuroImage: Clinical
132 papers in training set
Top 2%
3.0%
11
Annals of Neurology
57 papers in training set
Top 0.7%
2.7%
12
Brain, Behavior, and Immunity
105 papers in training set
Top 1%
2.0%
13
Journal of Alzheimer's Disease
43 papers in training set
Top 0.8%
1.7%
14
Neuropathology and Applied Neurobiology
14 papers in training set
Top 0.3%
1.7%
15
Translational Psychiatry
219 papers in training set
Top 3%
1.7%
16
PLOS ONE
4510 papers in training set
Top 55%
1.6%
17
Advanced Science
249 papers in training set
Top 14%
1.3%
18
Alzheimer's & Dementia: Translational Research & Clinical Interventions
16 papers in training set
Top 0.5%
1.2%
19
Nature Communications
4913 papers in training set
Top 59%
0.9%
20
The Journal of Immunology
146 papers in training set
Top 1%
0.9%
21
npj Systems Biology and Applications
99 papers in training set
Top 2%
0.9%
22
Frontiers in Molecular Biosciences
100 papers in training set
Top 4%
0.8%
23
Journal of Neurology
26 papers in training set
Top 1%
0.7%
24
iScience
1063 papers in training set
Top 33%
0.7%
25
Frontiers in Neuroscience
223 papers in training set
Top 8%
0.7%
26
Neurology
44 papers in training set
Top 2%
0.7%
27
Nature Aging
51 papers in training set
Top 2%
0.7%
28
Computational and Structural Biotechnology Journal
216 papers in training set
Top 11%
0.6%
29
Cell Reports
1338 papers in training set
Top 36%
0.6%
30
Journal of Neurology, Neurosurgery & Psychiatry
29 papers in training set
Top 2%
0.6%