From Inflammaging to Dementia: Cellular and Molecular Drivers of Cognitive Decline

A special issue of Cells (ISSN 2073-4409). This special issue belongs to the section "Cellular Neuroscience".

Deadline for manuscript submissions: 31 August 2026 | Viewed by 181

Special Issue Editors


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Guest Editor
1. Department of Neurology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA
2. Neuroscience Institute, University of Tennessee Health Science Center, Memphis, TN, USA
3. Department of Anatomy & Neurobiology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA
Interests: cognitive decline; neuroinflammation; Alzheimer's disease; neurodegeneration; neuroprotection

E-Mail Website
Guest Editor
1. Department of Neurology, College of Medicine, University of Tennessee Health Science Center, Memphis, TN 38163, USA
2. Center for Muscle, Metabolism and Neuropathology, Division of Regenerative and Rehabilitation Sciences and Department of Physical Therapy, College of Health Professions, University of Tennessee Health Science Center, Memphis, TN 38163, USA
3. Neuroscience Institute, University of Tennessee Health Science Center, Memphis, TN 38163, USA
Interests: Alzheimer’s disease; Parkinson’s disease; stroke; DNA damage; neuroinflammation; oxidative stress and antioxidants; regulation of motor function; gut microbiota in neurological diseases; long noncoding RNAs and CNS in regulation of muscle weakness
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Special Issue Information

Dear Colleagues,

Background

Although aging is the dominant risk factor for cognitive decline, dementia, and neurodegenerative diseases, chronological aging alone is insufficient to explain the inter-individual variability in cognitive trajectories observed among older individuals. While some maintain cognitive integrity into late life, others develop progressive impairment that culminates in dementia, indicating that age-associated biological processes shape the susceptibility to cognitive dysfunction. A growing body of evidence implicates neuroinflammation as a central mechanism linking aging, vulnerability to neurodegeneration, and cognitive dysfunction, operating across neurons, glia, vascular cells, and peripheral immune systems.

Inflammaging, characterized by chronic, low-grade activation of inflammatory pathways that accompanies aging, acts as a critical upstream driver of sustained neuroinflammatory states in the aging brain. This process reshapes neuro-immune communication at both the cellular and molecular levels, influencing synaptic function, neuronal resilience, and cerebrovascular integrity. Elucidating these mechanisms is essential for identifying the early drivers of cognitive decline and translating biological insight into effective therapeutic strategies. Addressing these questions requires integrative approaches that span molecular pathways, neural circuits, and brain-wide systems with direct relevance to disease prediction, prevention, and intervention. The scope of this Special Issue includes normal aging, prodromal cognitive impairment, dementia, and neurodegenerative diseases, while emphasizing cell-type specificity, temporal dynamics, and translational relevance.

Aims of This Special Issue

This Special Issue aims to advance our understanding of the role of neuroinflammation in age-related cognitive decline and dementia. Our aims are as follows:

  1. To define the mechanistic pathways through which aging affects neuro-immune signaling.
  2. To explore the causal and compensatory roles of neuroinflammation in cognitive decline.
  3. To integrate the cellular-, circuit-, and systems-level contributions of neuroinflammation to age-related cognitive decline and dementia.
  4. To describe the emerging tools and therapeutic strategies that target neuro-immune systems.

Prof. Dr. Michael P. McDonald
Dr. Mohammad Moshahid Khan
Guest Editors

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Keywords

  • neuroimmune crosstalk
  • brain-immune signaling
  • neuroinflammation
  • microglial activation
  • astrocytic reactivity
  • complement-mediated synaptic loss
  • cytokine modulation of synaptic plasticity
  • inflammasome signaling
  • blood–brain barrier dysfunction
  • neurovascular inflammation
  • immune-cell trafficking
  • synaptic dysfunction
  • biomarkers
  • DNA damage and repair
  • interferons responses
  • immune-targeted therapeutics
  • cognitive decline

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Published Papers (1 paper)

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Research

41 pages, 4930 KB  
Article
A Hierarchical and Multiscale Framework for Characterizing Mouse Sleep–Wake Dynamics from 14-Day Continuous EEG: Validation of Age- and Sex-Dependent Remodeling
by Andrey Kostin, Anton Saevskiy, Md Aftab Alam, Yiqun Jiang, Natalia Suntsova and Md Noor Alam
Cells 2026, 15(12), 1075; https://doi.org/10.3390/cells15121075 (registering DOI) - 13 Jun 2026
Abstract
Aging disrupts sleep, but how these changes are structured across circadian time, vigilance states, and sex remains poorly understood, because most prior studies used single-sex cohorts and few days of recordings. We continuously recorded 14 days of EEG/EMG in 24 C57BL/6J mice using [...] Read more.
Aging disrupts sleep, but how these changes are structured across circadian time, vigilance states, and sex remains poorly understood, because most prior studies used single-sex cohorts and few days of recordings. We continuously recorded 14 days of EEG/EMG in 24 C57BL/6J mice using a balanced 2 × 2 design (young vs. old; male vs. female; n = 6/group). A comprehensive multiscale analysis of the extended dataset enabled detailed reconstruction of 24 h sleep–wake architecture, better characterization of natural day-to-day variability including across multiple estrous cycles, and detection of rare bouts and transition events. Across seven levels of analysis, from circadian profiles to EEG spectral parameterization, the strongest aging effect was a dark-phase-specific 17–18% loss of theta-dominant active wake (TDW) in both sexes, with reciprocal increases in quiet wake (nTDW) and NREM sleep. We also identified a recurring N-shaped structural motif at the dark-to-light transition, where age-related and several sex-associated differences were most apparent. Broadly, old mice exhibited (i) shorter TDW bouts; (ii) a shift in NREM exit kinetics toward wakefulness; (iii) more brief and poorly consolidated “out-block” NREM episodes; and (iv) a slowing of waking theta and higher low-frequency TDW power. Variance decomposition indicated that statistical power depends more on sample size than on recording length. Together, aging reflects a coordinated, circadian-phase-specific reorganization of sleep–wake architecture. Sex-related and interaction findings should be interpreted as hypothesis-generating pending larger cohorts. Full article
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