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@ARTICLE{Zatcepin:271973,
author = {Zatcepin, Artem and Gnörich, Johannes and Rauchmann, Boris
Stephan and Bartos, Laura M and Wagner, Stephan and
Franzmeier, Nicolai and Malpetti, Maura and Xiang, Xianyuan
and Shi, Yuan and Parhizkar, Samira and Grosch, Maximilian
and Wind-Mark, Karin and Kunte, Sebastian T and Beyer,
Leonie and Klaus, Carolin and Brösamle, Desirée and
Wendeln, Ann-Christin and Osei-Sarpong, Collins and Heindl,
Steffanie and Liesz, Arthur and Stoecklein, Sophia and
Biechele, Gloria and Finze, Anika and Eckenweber, Florian
and Lindner, Simon and Rominger, Axel and Bartenstein, Peter
and Willem, Michael and Tahirovic, Sabina and Herms, Jochen
and Buerger, Katharina and Simons, Mikael and Haass,
Christian and Rupprecht, Rainer and Riemenschneider, Markus
J and Albert, Nathalie L and Beyer, Marc and Neher, Jonas J
and Paeger, Lars and Levin, Johannes and Höglinger, Günter
U and Perneczky, Robert and Ziegler, Sibylle I and Brendel,
Matthias},
title = {{R}egional desynchronization of microglial activity is
associated with cognitive decline in {A}lzheimer's disease.},
journal = {Molecular neurodegeneration},
volume = {19},
number = {1},
issn = {1750-1326},
address = {London},
publisher = {Biomed Central},
reportid = {DZNE-2024-01115},
pages = {64},
year = {2024},
abstract = {Microglial activation is one hallmark of Alzheimer disease
(AD) neuropathology but the impact of the regional interplay
of microglia cells in the brain is poorly understood. We
hypothesized that microglial activation is regionally
synchronized in the healthy brain but experiences regional
desynchronization with ongoing neurodegenerative disease. We
addressed the existence of a microglia connectome and
investigated microglial desynchronization as an AD
biomarker.To validate the concept, we performed microglia
depletion in mice to test whether interregional correlation
coefficients (ICCs) of 18 kDa translocator protein
(TSPO)-PET change when microglia are cleared. Next, we
evaluated the influence of dysfunctional microglia and AD
pathophysiology on TSPO-PET ICCs in the mouse brain,
followed by translation to a human AD-continuum dataset. We
correlated a personalized microglia desynchronization index
with cognitive performance. Finally, we performed
single-cell radiotracing (scRadiotracing) in mice to ensure
the microglial source of the measured
desynchronization.Microglia-depleted mice showed a strong
ICC reduction in all brain compartments, indicating
microglia-specific desynchronization. AD mouse models
demonstrated significant reductions of microglial
synchronicity, associated with increasing variability of
cellular radiotracer uptake in pathologically altered brain
regions. Humans within the AD-continuum indicated a
stage-depended reduction of microglia synchronicity
associated with cognitive decline. scRadiotracing in mice
showed that the increased TSPO signal was attributed to
microglia.Using TSPO-PET imaging of mice with depleted
microglia and scRadiotracing in an amyloid model, we provide
first evidence that a microglia connectome can be assessed
in the mouse brain. Microglia synchronicity is closely
associated with cognitive decline in AD and could serve as
an independent personalized biomarker for disease
progression.},
keywords = {Animals / Microglia: metabolism / Alzheimer Disease:
metabolism / Alzheimer Disease: pathology / Mice / Cognitive
Dysfunction: metabolism / Humans / Brain: metabolism /
Brain: pathology / Disease Models, Animal /
Positron-Emission Tomography / Receptors, GABA: metabolism /
Male / Mice, Transgenic / Connectome: methods / Female /
Alzheimer’s disease (Other) / Brain connectivity (Other) /
Dementia (Other) / Microglia (Other) / Microglia
desynchronization (Other) / Microglia synchronicity (Other)
/ Neuroinflammation (Other) / PET (Other) / TSPO (Other) /
Receptors, GABA (NLM Chemicals)},
cin = {AG Haass / AG Herms / AG Dichgans / AG Beyer / AG Neher
(Tübingen) / AG Tahirovic / Clinical Research (Munich) /
PRECISE},
ddc = {570},
cid = {I:(DE-2719)1110007 / I:(DE-2719)1110001 /
I:(DE-2719)5000022 / I:(DE-2719)1013035 / I:(DE-2719)1210012
/ I:(DE-2719)1140003 / I:(DE-2719)1111015 /
I:(DE-2719)1013031},
pnm = {352 - Disease Mechanisms (POF4-352) / 353 - Clinical and
Health Care Research (POF4-353) / 351 - Brain Function
(POF4-351)},
pid = {G:(DE-HGF)POF4-352 / G:(DE-HGF)POF4-353 /
G:(DE-HGF)POF4-351},
experiment = {EXP:(DE-2719)PRECISE-20190321},
typ = {PUB:(DE-HGF)16},
pmc = {pmc:PMC11375924},
pubmed = {pmid:39238030},
doi = {10.1186/s13024-024-00752-6},
url = {https://pub.dzne.de/record/271973},
}