The greatest risk factor for neurodegeneration is the aging of the multiple cell types of human CNS, among which microglia are important because they are the “sentinels” of internal and external perturbations and have long lifespans. We aim to emphasize microglial signatures in physiologic brain aging and Alzheimer’s disease (AD). A systematic literature search of all published articles about microglial senescence in human healthy aging and AD was performed, searching for PubMed and Scopus online databases. Among 1947 articles screened, a total of 289 articles were assessed for full-text eligibility. Microglial transcriptomic, phenotypic, and neuropathological profiles were analyzed comprising healthy aging and AD. Our review highlights that studies on animal models only partially clarify what happens in humans. Human and mice microglia are hugely heterogeneous. Like a two-sided coin, microglia can be protective or harmful, depending on the context. Brain health depends upon a balance between the actions and reactions of microglia maintaining brain homeostasis in cooperation with other cell types (especially astrocytes and oligodendrocytes). During aging, accumulating oxidative stress and mitochondrial dysfunction weaken microglia leading to dystrophic/senescent, otherwise over-reactive, phenotype-enhancing neurodegenerative phenomena. Microglia are crucial for managing Aβ, pTAU, and damaged synapses, being pivotal in AD pathogenesis.

Alzheimer’s disease (AD) is a neurodegenerative disorder that progressively involves brain regions with an often-predictable pattern. Damage to the brain appears to spread and worsen with time, but the molecular mechanisms underlying the region-specific distribution of AD pathology at different stages of the disease are still under-investigated. In this study, a whole-transcriptome analysis was carried out on brain samples from the hippocampus (HI), temporal and parietal cortices (TC and PC, respectively), cingulate cortex (CG), and substantia nigra (SN) of six subjects with a definite AD diagnosis and three healthy age-matched controls in duplicate. The transcriptomic results showed a greater number of differentially expressed genes (DEGs) in the TC (1571) and CG (1210) and a smaller number of DEGs in the HI (206), PC (109), and SN (60). Furthermore, the GSEA showed a difference between the group of brain areas affected early (HI and TC) and the group of areas that were subsequently involved (PC, CG, and SN). Notably, in the HI and TC, there was a significant downregulation of shared DEGs primarily involved in synaptic transmission, while in the PC, CG, and SN, there was a significant downregulation of genes primarily involved in protein folding and trafficking. The course of AD could follow a definite time- and severity-related pattern that arises from protein misfolding, as observed in the PC, CG, and SN, and leads to synaptic impairment, as observed in the HI and TC. Therefore, a map of the molecular and biological processes involved in AD pathogenesis may be traced. This could aid in the discovery of novel biological targets in order to develop effective and well-timed therapeutic approaches.

Alzheimer’s disease (AD) and dementia with Lewy bodies (LBD) are the most widespread forms of degenerative dementia. However, little is known about the molecular aspects that link these conditions with each other and with aging itself. Whole transcriptome analysis and Gene Set Enrichment Analysis (GSEA) have been carried out on brain samples from hippocampus (HI), temporal and parietal cortex (TC, PC), cingulate cortex (CG), and substantia nigra (SN) of subjects with a neuropathological diagnosis of AD or LBD. According to the Abbiategrasso Brain Bank (ABB) protocol, the neuropathological diagnosis was based on a complete histological characterization, including all the main proteinopathies and vascular scoring. Transcriptomic results show major differences in the number of differentially expressed genes (DEGs) between the two pathologies. In AD, gene expression is more affected compared to LBD. DEGs have peculiar spatial distribution: HI and TC show transcriptomic changes related to synapses, while in CG, SN, and PC, changes are related to proteostasis; in LBD, DEGs are predominant in SN and PC affecting proteostasis, oxidative stress, and inflammation. In AD, GSEA shows that different regions cluster by shared biological processes. AD appears much more complex, and different forms of AD do exist. Nonetheless, the molecular signature of same regions across the two pathologies can be interestingly overlapped. Exploring the molecular processes that occur before the deposition of pathological lesions may reveal individual neurodegeneration trajectory to achieve personalized therapies, which could be much more effective than the mere immunological removal of protein deposits. Graphical abstract