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ORIGINAL RESEARCH
COMBATING NEURONAL NETWORK DEGENERATION IN ALZHEIMER'S DISEASE: META-ANALYSIS
 
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1
Faculty of Biomedical Sciences, Medical University of Lodz, Poland
 
2
Department of Functional Genomics, Medical University of Lodz, Poland
 
These authors had equal contribution to this work
 
 
Submission date: 2024-11-21
 
 
Final revision date: 2024-12-12
 
 
Acceptance date: 2024-12-12
 
 
Publication date: 2025-11-26
 
 
Corresponding author
Julia Gałęziewska   

Faculty of Biomedical Sciences, Medical University of Lodz, Żeligowskiego 7/9, 90-752, Lodz, Poland
 
 
Issue Rehabil. Orthop. Neurophysiol. Sport Promot. 2024;46(1):7-24
 
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ABSTRACT
Introduction Alzheimer's disease is a progressive neurodegenerative disorder characterized by neuronal and synaptic loss, resulting in cognitive decline and memory impairment. Aim This meta-analysis examines the degradation of neuronal networks, focusing on synaptic loss, neuronal connectivity, amyloid beta and Tau protein aggregation, and network efficiency deficits. The study aims to synthesize current research on neuronal network degeneration mechanisms and evaluate potential therapeutic strategies. Material and methods A systematic literature review was conducted using PubMed, ScienceDirect, Embase, Google Scholar, Scopus, and Web of Science databases. The analysis included English-language publications, comprising randomized controlled trials, case reports, and cohort studies that assessed neuronal network integrity in Alzheimer's patients using various methodological approaches. Results The findings contribute to a deeper understanding of Alzheimer's disease neuropathological mechanisms and may support the development of new diagnostic tools and therapeutic strategies targeting neuronal network integrity. Conclusions The meta-analysis revealed potential positive effects of various therapies in slowing neuronal network degeneration, with cell therapies showing particularly promising results. However, methodological limitations in the analyzed studies, including incomplete data and ambiguous results, prevent definitive statistical conclusions. Further research is needed to confirm the effectiveness of specific therapeutic approaches and to better understand the relationship between neuronal network degradation and disease progression.
ISSN:2300-0767
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