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Last Updated: March 28, 2025
Authors: Alexa Brown, Ph.D. and Barry J. Bedell, M.D., Ph.D.

What is microglial senescence?

Microglia are a heterogeneous population of cells within the central nervous system (CNS), serving as the brain’s resident immune cells. They play an essential role in maintaining homeostasis, responding to injury and infection, and clearing cellular debris. Comprising approximately 10-15% of the total brain cell population, microglia are critical for orchestrating neuroinflammatory responses and contributing to processes like myelination (Greenwood, 2021; Malvaso, 2023). Additionally, they are involved in immune surveillance and synaptic remodeling (Ng, 2023). Recent studies suggest that microglia undergo senescence with aging, leading to functional changes not only in normal aging but also in various disorders, including neurodegenerative diseases (Ng, 2023).

Microglial senescence involves the acquisition of a senescent-associated secretory phenotype (SASP) and is marked by irreversible cell cycle arrest (Greenwood, 2021; Malvaso, 2023). This state is characterized by several key changes, including an increase in secretion of reactive oxygen species (ROS) and proinflammatory cytokines, mitochondrial dysfunction, and high levels of iron and ferritin accumulation. As a result, senescent microglia exhibit altered morphology, with features like process de-ramification, abnormal swellings, cytorrhexis, and vacuolization (Malvaso, 2023). A hallmark of microglial senescence is reduced phagocytic activity and impaired motility, which hinder their ability to clear debris and migrate to injury sites. If the accumulation of senescent microglia exceeds a certain threshold, possibly due to the paracrine spread of senescence, it can accelerate the progression of age-related diseases, creating a feed-forward loop that increases the number of senescent microglia (Chaib, 2022).

Defining microglial senescence is challenging due to a lack of consensus on its defining characteristics and the absence of a specific marker. Moreover, the phenotype of senescent microglia overlaps with other cellular states, such as the dystrophic state, which are often used interchangeably (Ng, 2023). Senescent microglia also share traits with disease-associated microglia (DAM), including telomere shortening, with senescent microglia being considered a distinct subset of DAM (Hu, 2021; Samuel Olajide, 2024). Despite these challenges, the role of microglial senescence in aging-related neurodegenerative diseases has become a focus of research, with the potential to be targeted for therapeutic interventions.

Microglial Senescence

Senescent microglia show reduced process ramification and motility, increased swelling and cytorrhexis, and cytoplasmic fragmentation with vacuolization. They accumulate more iron, exhibit higher ferritin expression and increased ROS production, and release more proinflammatory cytokines. Their phagocytic ability to clear debris and toxic proteins are significantly impaired. Figure and caption adapted from Malvaso et al. (Malvaso, 2023) under the Creative Commons Attribution License

What role does microglial senescence play in AD and PD?

With the aging of the global population, the incidence of age-related neurodegenerative diseases, including proteinopathies, is expected to increase. Aging serves as a major risk factor for proteinopathies, which are characterized by the accumulation of misfolded proteins like amyloid-beta (Aβ), tau, transactive response DNA binding protein of 43 kDa (TDP-43), and α-synuclein (α-syn). As such, there is a growing demand for targeted therapies aimed at slowing or preventing the progression of these diseases.

Given that senescent microglia build up in the brain and spinal cord during both normal aging and neurodegenerative diseases, they have become a key target for potential therapeutic interventions. Senolytic drugs, which are designed to selectively eliminate senescent cells, aim to mitigate or reverse the effects of aging and inflammation. These drugs have shown promising results in preclinical studies and are currently being tested in early-phase clinical trials to assess their effectiveness in treating age-related conditions, including neurodegenerative diseases.

Alzheimer’s Disease (AD)
AD is a progressive neurodegenerative disorder that primarily leads to cognitive decline, memory impairment, and changes in behavior and mood. The accumulation of Aβ plaques and hyperphosphorylated tau neurofibrillary tangles is central to the pathogenesis of AD. Beyond these hallmark features, microglia play a significant role in the disease process.

A proposed mechanism for disease progression in proteinopathies involves a positive feedback loop between aging, disease, misfolded proteins, and senescent microglia (Lau, 2023). In this loop, aging promotes the accumulation of misfolded proteins, a process that is especially accelerated in diseases like AD. This buildup of misfolded proteins, in turn, induces microglial senescence, which further exacerbates misfolded protein accumulation. Studies have shown that microglia exposed to high levels of tau adopt a senescent phenotype, characterized by cell cycle arrest, impaired tau clearance, and the formation of a SASP (Karabag, 2023). These senescent microglia accumulate in brain regions affected by AD, where they trigger senescence in surrounding microglia through paracrine signaling (Lau, 2023). This cascade intensifies the accumulation of neurotoxic proteins, neurodegeneration, and neuroinflammation, and accelerates disease progression, as the phagocytic function of senescent microglia declines (Lau, 2023; Miao, 2023).

Parkinson's Disease (PD)
PD, the second most common neurodegenerative disease after AD, is primarily characterized by motor symptoms such as muscle rigidity, bradykinesia, and resting tremor. Despite frequently being overlooked, PD is also associated with non-motor symptoms including mood and affect disorders, such as apathy and depression, as well as cognitive dysfunction and behavioural disturbances. The progressive loss of dopaminergic neurons in the substantia nigra pars compacta (SNc) and the accumulation of Lewy bodies, which contain α-syn aggregates, are defining features of PD. While microglia are known to contribute to PD progression, the specific role of senescent microglia in PD remains less well understood compared to AD (Rim, 2024).

Research indicates that microglia accumulate in the aging brain, including in the SNc (Shaerzadeh, 2020). In addition, older mice exhibit higher levels of α-syn compared to younger mice following intra-striatal α-syn injections (Hong, 2024). This increase in α-syn is compounded by an age-related delay in its clearance, likely due to dysfunction in the autophagy-lysosome system (Hong, 2024). Furthermore, iron accumulation has been observed in regions affected by PD, such as the SNc, with excessive iron exposure linked to a higher risk of developing the disease (Angelova, 2019).

In conclusion, although AD and PD have distinct pathological features, they share several common underlying mechanisms, particularly the dysfunction of microglia. In both diseases, microglia contribute to disease progression by promoting inflammation and impairing the clearance of neurotoxic proteins. While significant progress has been made in understanding the role of microglial senescence in neurodegenerative diseases, challenges remain in developing effective therapies. Nonetheless, ongoing research into senolytic treatments holds promise for treating these age-related diseases.  

Senescent Microglia in Neurodegenerative Diseases

Schematic overview of a proposed mechanism of disease progression in proteinopathies. The accumulation of misfolded protein aggregates occurs with aging and is exacerbated in disease conditions. These proteins interact with microglia contributing to the induction of microglial senescence, which further intensifies the accumulation of neurotoxic proteins, and accelerates neurodegeneration and disease progression in a positive feedback loop. Figure and caption adapted from Samuel Olajide et al. (Samuel Olajide, 2024) under the Creative Commons Attribution License.

What are the current models and markers used to study microglial senescence?

As research into the role of microglial senescence in neurodegenerative diseases advances, the development of targeted therapeutic strategies has become more urgent. However, the progress of these therapies is hindered by the lack of precise methods for detecting senescent microglia, particularly in vivo. Therefore, the identification of reliable markers for senescent microglia is essential for advancing these therapeutic efforts.

One of the most widely used markers for microglial senescence is senescence-associated β-galactosidase (SA-β-gal) activity, which remains a key indicator. In addition, cyclin-dependent kinase inhibitors such as p21 (also known as WAF1/CIP1) and p16INK4a are frequently used as markers due to their strong association with cell cycle arrest, a hallmark of senescence. Animal models have been instrumental in studying microglial senescence, including models like p16luc (a luciferase reporter model), p16 knockout, and microglial-specific p16 knockout mice. These models have been essential in exploring the role of p16INK4a in microglial aging and its contribution to age-related neurodegenerative diseases.

Ferritin accumulation has also been observed in senescent microglia, although its role is not as well understood as some other markers. Sudan Black B, a staining agent for lipofuscin, has emerged as a potential alternative to SA-β-gal (Ng, 2023). Lipofuscin, which accumulates in aging cells like microglia, can be detected using Sudan Black B, offering a promising method for identifying aged microglia, though it has not yet gained widespread adoption. Additionally, the expression of SASP cytokines, such as TNF-α, IL-6 and IL-1β, is another feature of senescent cells. These proinflammatory cytokines are released by senescent microglia and contribute to neuroinflammation, which plays a role in various neurodegenerative diseases. Despite the growing body of evidence linking these markers to microglial senescence, no single definitive marker has been established. As a result, a multi-marker approach, combining several of these indicators, is currently considered the most reliable method for identifying senescent microglia.

Research has highlighted the importance of markers like p16INK4a, which has been particularly significant in studies of microglial senescence. For example, research on mice has shown that microglia, especially in white matter, are among the first cells in the central nervous system to undergo senescence during aging (Matsudaira, 2023). These studies have confirmed that microglial senescence occurs in both the brain and spinal cord, with senescence being particularly pronounced in DAM (Matsudaira, 2023). In models of tauopathies, such as the MAPT P301S (PS19) mouse, senescent microglia that express p16INK4a were found to accumulate over time (Bussian, 2018). Targeting these senescent cells has shown therapeutic potential. The clearance of senescent microglia has been found to prevent tau aggregation and neurofibrillary tangle deposition, reduce neurodegeneration, and help preserve cognitive function. Furthermore, the use of senolytics has been shown to modulate tau aggregation. These findings highlight the potential for targeting senescent microglia as a therapeutic approach for treating tauopathies, underscoring the connection between microglial senescence and the progression of neurodegenerative diseases (Bussian, 2018).

By advancing our ability to identify and target senescent microglia, researchers are paving the way for new therapeutic interventions in neurodegenerative diseases. The continued use of these markers and models is essential for advancing our understanding of microglial senescence and its implications for treating age-related neurological conditions.

Our team would be happy to answer any questions about microglial senescence and neurodegenerative diseases or provide specific information about the AD, ALS, and PD models we use for therapeutic efficacy studies.

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