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Summary of Main Findings.

This study reveals shared transcriptomic signatures between Alzheimer's disease and epilepsy, highlighting synaptic pruning as a potential molecular connection between the two disorders. Through detailed transcriptomic analysis, the researchers discovered that dysregulated genes related to synaptic pruning may play a role in the pathological processes of both diseases. This research offers new insights into the common mechanisms underlying neurodegeneration and neurological disorders, proposing synaptic pruning as a viable therapeutic target for both Alzheimer's and epilepsy. By linking these two conditions, the study paves the way for innovative dual-targeting therapeutic strategies that could alleviate symptoms or slow disease progression in patients with either or both conditions.

Major Issues

Causal Mechanisms Not Established: The study indicates associations between synaptic pruning and disease but lacks experimental validation to confirm causation. Additional mechanistic studies are necessary to determine whether changes in synaptic pruning are truly causal factors.

Sample Size and Diversity: If the research was based on small or homogeneous sample populations, the findings may not be applicable to broader populations, particularly considering genetic and environmental variations among Alzheimer’s and epilepsy patients.

Limited Functional Validation: Although transcriptomic data show gene dysregulation, more functional experiments (e.g., in vivo or in vitro studies) are needed to elucidate the roles of these genes in synaptic pruning and disease pathology.

Minor Issues

Terminology Clarification: Simplifying complex terminology or providing a glossary could enhance accessibility for readers unfamiliar with specialized fields.

Graphical Representations: Improved figures or diagrams depicting shared pathways between Alzheimer's and epilepsy could enhance understanding.

Flow and Structure: Reorganizing sections to emphasize key findings before delving into detailed transcriptomic data could better guide readers through the research narrative.

Competing interests

The author declares that they have no competing interests.