Sensory processing deficits and related cortical pathological changes in Alzheimer’s disease DOI Creative Commons
Nicole K. Zhang,

Selena K. Zhang,

Li I. Zhang

et al.

Frontiers in Aging Neuroscience, Journal Year: 2023, Volume and Issue: 15

Published: Aug. 15, 2023

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder primarily affecting cognitive functions. However, sensory deficits in AD start to draw attention due their high prevalence and early onsets which suggest that they could potentially serve as diagnostic biomarkers even contribute the progression. This literature review examines cortical pathological changes observed visual, auditory, olfactory, somatosensory systems patients, well various animal models. Sensory may emerge at stages of AD, or precede decline, accompanied by including amyloid-beta deposition, tauopathy, gliosis, alterations neuronal excitability, synaptic inputs, functional plasticity. Notably, these are more pronounced association areas superficial layers, explain relative preservation basic functions but display higher We propose impairment progression establish cyclical relationship mutually perpetuates each condition. highlights significance with without emphasizes need for further research develop reliable detection intervention through systems.

Language: Английский

Alzheimer’s disease as a synaptopathy: Evidence for dysfunction of synapses during disease progression DOI Creative Commons
S. Meftah, Jian Gan

Frontiers in Synaptic Neuroscience, Journal Year: 2023, Volume and Issue: 15

Published: March 9, 2023

The synapse has consistently been considered a vulnerable and critical target within Alzheimer’s disease, loss is, to date, one of the main biological correlates cognitive decline disease. This occurs prior neuronal with ample evidence that synaptic dysfunction precedes this, in support idea failure is crucial stage disease pathogenesis. two pathological hallmarks abnormal aggregates amyloid or tau proteins, have had demonstrable effects on physiology animal cellular models There also growing these proteins may synergistic effect neurophysiological dysfunction. Here, we review some findings alterations what know from models. First, briefly summarize human suggest synapses are altered, including how this relates network activity. Subsequently, considered, highlighting mouse pathology role play dysfunction, either isolation examining pathologies interact specifically focuses function observed models, typically measured using electrophysiology calcium imaging. Following loss, it would be impossible imagine not alter oscillatory activity brain. Therefore, discusses underpin aberrant patterns seen patients. Finally, an overview key directions considerations field covered. includes current therapeutics targeted at but methods modulate rescue patterns. Other important future avenues note include non-neuronal cell types such as astrocytes microglia, mechanisms independent will certainly continue for foreseeable future.

Language: Английский

Citations

73

Axonal energy metabolism, and the effects in aging and neurodegenerative diseases DOI Creative Commons
Sen Yang, Jung Hyun Park, Hui‐Chen Lu

et al.

Molecular Neurodegeneration, Journal Year: 2023, Volume and Issue: 18(1)

Published: July 20, 2023

Abstract Human studies consistently identify bioenergetic maladaptations in brains upon aging and neurodegenerative disorders of (NDAs), such as Alzheimer’s disease, Parkinson’s Huntington’s Amyotrophic lateral sclerosis. Glucose is the major brain fuel glucose hypometabolism has been observed regions vulnerable to NDAs. Many susceptible are topological central hub connectome, linked by densely interconnected long-range axons. Axons, key components have high metabolic needs support neurotransmission other essential activities. Long-range axons particularly injury, neurotoxin exposure, protein stress, lysosomal dysfunction, etc. Axonopathy often an early sign neurodegeneration. Recent ascribe axonal maintenance failures local dysregulation. With this review, we aim stimulate research exploring metabolically oriented neuroprotection strategies enhance or normalize bioenergetics NDA models. Here start summarizing evidence from human patients animal models reveal correlation between connectomic disintegration aging/NDAs. To encourage mechanistic investigations on how dysregulation occurs during aging/NDAs, first review current literature distinct subdomains: axon initial segments, myelinated arbors harboring pre-synaptic boutons. In each subdomain, focus organization, activity-dependent regulation system, external glial support. Second, mechanisms regulating nicotinamide adenine dinucleotide (NAD + ) homeostasis, molecule for energy metabolism processes, including NAD biosynthetic, recycling, consuming pathways. Third, highlight innate vulnerability connectome discuss its perturbation As deficits developing into NDAs, especially asymptomatic phase, they likely exaggerated further impaired energetic cost neural network hyperactivity, pathology. Future interrogating causal relationship vulnerability, axonopathy, amyloid/tau pathology, cognitive decline will provide fundamental knowledge therapeutic interventions.

Language: Английский

Citations

49

Dysregulation of extracellular potassium distinguishes healthy ageing from neurodegeneration DOI
Fengfei Ding, Qian Sun,

Carter Long

et al.

Brain, Journal Year: 2024, Volume and Issue: 147(5), P. 1726 - 1739

Published: March 11, 2024

Progressive neuronal loss is a hallmark feature distinguishing neurodegenerative diseases from normal ageing. However, the underlying mechanisms remain unknown. Extracellular K+ homeostasis potential mediator of injury as elevations increase excitatory activity. The dysregulation extracellular and potassium channel expressions during neurodegeneration could contribute to this distinction. Here we measured cortical concentration ([K+]e) in awake wild-type mice well murine models using K+-sensitive microelectrodes. Unexpectedly, aged exhibited significantly lower [K+]e than young mice. In contrast, was consistently elevated Alzheimer's disease (APP/PS1), amyotrophic lateral sclerosis (ALS) (SOD1G93A) Huntington's (R6/2) models. Cortical resting correlated inversely with density buffering rate but positively predicted firing rate. Screening astrocyte-selective genomic datasets revealed number genes that were downregulated these not particular, inwardly rectifying Kcnj10 ALS ageing, while Fxyd1 Slc1a3, each which acts negative regulator uptake, upregulated by astrocytes both Chronic elevation response changes gene expression attendant hyperexcitability may drive characteristic diseases. These observations suggest be due aberrant astrocytic such, highlight fundamental role for glial dysfunction neurodegeneration.

Language: Английский

Citations

17

Proteomic changes in Alzheimer disease associated with progressive Aβ plaque and tau tangle pathologies DOI Creative Commons
Alexa Pichet Binette, Chris Gaiteri, Malin Wennström

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(10), P. 1880 - 1891

Published: Aug. 26, 2024

Abstract Proteomics can shed light on the dynamic and multifaceted alterations in neurodegenerative disorders like Alzheimer’s disease (AD). Combining radioligands measuring β-amyloid (Aβ) plaques tau tangles with cerebrospinal fluid proteomics, we uncover molecular events mirroring different stages of AD pathology living humans. We found 127 differentially abundant proteins (DAPs) across spectrum. The strongest Aβ-related were mainly expressed glial cells included SMOC1 ITGAM. A dozen linked to ATP metabolism preferentially neurons independently associated tangle load accumulation. Only 20% DAPs also altered other diseases, underscoring AD’s distinct proteome. Two co-expression modules related, respectively, protein microglial immune response encompassed most DAPs, opposing, staggered trajectories along continuum. unveil signatures Aβ proteinopathy vivo, offering insights into complex neural responses potential biomarkers therapeutics targeting stages.

Language: Английский

Citations

16

Brain Plasticity and Cell Competition: Immediate Early Genes Are the Focus DOI Creative Commons
П. П. Трегуб, Yulia K. Komleva,

Maria V. Kukla

et al.

Cells, Journal Year: 2025, Volume and Issue: 14(2), P. 143 - 143

Published: Jan. 19, 2025

Brain plasticity is at the basis of many cognitive functions, including learning and memory. It includes several mechanisms synaptic extrasynaptic changes, neurogenesis, formation elimination synapses. The transmission involves expression immediate early genes (IEGs) that regulate neuronal activity, thereby supporting In addition, IEGs are involved in regulation brain cells’ metabolism, proliferation, survival, establishment multicellular ensembles, and, presumably, cell competition tissue. this review, we analyze current understanding role (c-Fos, c-Myc, Arg3.1/Arc) controlling physiological pathological conditions, aging neurodegeneration. This work might inspire new gene therapy strategies targeting to plasticity, potentially prevent or mitigate neurodegenerative diseases.

Language: Английский

Citations

2

Cortical excitability and the aging brain: toward a biomarker of cognitive resilience DOI Creative Commons
Sara Palermo, Chiara Di Fazio, Eugenio Scaliti

et al.

Frontiers in Psychology, Journal Year: 2025, Volume and Issue: 16

Published: Feb. 18, 2025

This perspective article addresses the potential use of cortical excitability (CE) as an indicator cognitive health in aging people. Changes CE may be considered a sign resilience to decline old age. The authors describe research on and its link function older adults emphasize that it is promising, non-invasive measure healthy aging. They also address current challenges implementation, need for standardized measurement protocols possible future avenues research. If properly considered, could pave way early detection facilitate targeted interventions promote resilience.

Language: Английский

Citations

2

Subclinical Epileptiform Discharge in Patients With Alzheimer Dementia: A Systematic Review and Meta-Analysis DOI
Wei‐Chih Yeh, Yuan‐Han Yang, Ying-Sheng Li

et al.

Journal of Clinical Neurophysiology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Purpose: Patients with Alzheimer's dementia (AD) who do not have a history of epilepsy higher frequency subclinical epileptiform discharge (SED) than healthy individuals. This meta-analysis aims to investigate the SED in patients AD using different EEG protocols and compare rates between early- late-onset AD. Methods: study adhered Preferred Reporting Items for Systematic Reviews Meta-analysis guidelines. We searched various databases until January 2024 studies reporting did epilepsy. A was conducted random-effects model. Results: Thirteen involving 1,373 were analyzed. The had mean age 71.2 years, 59.3% women. pooled rate found be 18.3%. extended (26.7%) routine (12.1%). It also observed that early-onset (14.4%) (43.9%) those (10.5 21.3%, respectively). Furthermore, 3.55 relative risk ( P < 0.001) compared controls. Specifically, showed significantly developing (relative risk, 4.48; 0.001). Conclusions: Subclinical high AD, particularly early onset

Language: Английский

Citations

2

Detecting Early Cognitive Decline in Alzheimer’s Disease with Brain Synaptic Structural and Functional Evaluation DOI Creative Commons
Samo Ribarič

Biomedicines, Journal Year: 2023, Volume and Issue: 11(2), P. 355 - 355

Published: Jan. 26, 2023

Early cognitive decline in patients with Alzheimer's (AD) is associated quantifiable structural and functional connectivity changes the brain. AD dysregulation of Aβ tau metabolism progressively disrupt normal synaptic function, leading to loss synapses, decreased hippocampal density early atrophy. Advances brain imaging techniques living have enabled transition from clinical signs symptoms-based diagnosis biomarkers-based diagnosis, techniques, quantitative EEG, body fluids sampling. The hippocampus has a central role semantic episodic memory processing. This function critically dependent on intrahippocampal connections many cortical regions, including perirhinal entorhinal cortex, parahippocampal association regions temporal parietal lobes, prefrontal cortex. Therefore, reflected altered intrinsic networks (aka large-scale networks), memory, default mode, salience networks. narrative review discusses recent critical issues related detecting AD-associated markers high-risk or neuropsychologically diagnosed subjective impairment mild impairment.

Language: Английский

Citations

23

The hippocampus associated GABAergic neural network impairment in early-stage of Alzheimer's disease DOI

Yuanhong Tang,

Yan Yan, Jian Mao

et al.

Ageing Research Reviews, Journal Year: 2023, Volume and Issue: 86, P. 101865 - 101865

Published: Jan. 28, 2023

Language: Английский

Citations

23

Source space connectomics of neurodegeneration: One-metric approach does not fit all DOI Creative Commons
Pavel Prado, Sebastián Moguilner, Jhony Mejia

et al.

Neurobiology of Disease, Journal Year: 2023, Volume and Issue: 179, P. 106047 - 106047

Published: Feb. 23, 2023

Brain functional connectivity in dementia has been assessed with dissimilar EEG metrics and estimation procedures, thereby increasing results' heterogeneity. In this scenario, joint analyses integrating information from different may allow for a more comprehensive characterization of brain interactions subtypes. To test hypothesis, resting-state electroencephalogram (rsEEG) was recorded individuals Alzheimer's Disease (AD), behavioral variant frontotemporal (bvFTD), healthy controls (HCs). Whole-brain estimated the source space using 101 types connectivity, capturing linear nonlinear both time frequency-domains. Multivariate machine learning progressive feature elimination run to discriminate AD HCs, bvFTD based on i) frequency bands, ii) complementary frequency-domain (e.g., instantaneous, lagged, total connectivity), iii) time-domain linearity assumption Pearson correlation coefficient mutual information). <10% all possible connections were responsible differences between patients controls, atypical never captured by >1/4 measures. Joint revealed patterns hypoconnectivity (patientsHCs) groups mainly identified regions. These atypicalities differently frequency- metrics, bandwidth-specific fashion. The multi-metric representation whole-brain evidenced inadequacy single-metric approaches, resulted valid alternative selection problem connectivity. reveal interdependence that are overlooked single contributing reliable interpretable description neurodegeneration.

Language: Английский

Citations

23