Microglial Heterogeneity and Its Potential Role in Driving Phenotypic Diversity of Alzheimer’s Disease

Autor: Marcella Catania, Emanuela Maderna, Bernardino Ghetti, Giuseppe Di Fede, Stefano Sorrentino, Giorgio Giaccone, R Ascari, Fabrizio Tagliavini
Přispěvatelé: Sorrentino, S, Ascari, R, Maderna, E, Catania, M, Ghetti, B, Tagliavini, F, Giaccone, G, Di Fede, G
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Molecular Sciences
Volume 22
Issue 5
International Journal of Molecular Sciences, Vol 22, Iss 2780, p 2780 (2021)
ISSN: 1422-0067
DOI: 10.3390/ijms22052780
Popis: Alzheimer’s disease (AD) is increasingly recognized as a highly heterogeneous disorder occurring under distinct clinical and neuropathological phenotypes. Despite the molecular determinants of such variability not being well defined yet, microglial cells may play a key role in this process by releasing distinct pro- and/or anti-inflammatory cytokines, potentially affecting the expression of the disease. We carried out a neuropathological and biochemical analysis on a series of AD brain samples, gathering evidence about the heterogeneous involvement of microglia in AD. The neuropathological studies showed differences concerning morphology, density and distribution of microglial cells among AD brains. Biochemical investigations showed increased brain levels of IL-4, IL-6, IL-13, CCL17, MMP-7 and CXCL13 in AD in comparison with control subjects. The molecular profiling achieved by measuring the brain levels of 25 inflammatory factors known to be involved in neuroinflammation allowed a stratification of the AD patients in three distinct “neuroinflammatory clusters”. These findings strengthen the relevance of neuroinflammation in AD pathogenesis suggesting, in particular, that the differential involvement of neuroinflammatory molecules released by microglial cells during the development of the disease may contribute to modulate the characteristics and the severity of the neuropathological changes, driving—at least in part—the AD phenotypic diversity.
Databáze: OpenAIRE