Brain aging: Unlocking personalized strategies for cognitive resilience

Brain aging is a complex biological process characterized by a progressive decline in cognitive function and increased vulnerability to neurodegenerative diseases. Although aging is inevitable, its trajectory varies significantly among individuals and is influenced by genetic, molecular, and environmental factors. The increase in global life expectancy has intensified the need for innovative strategies to address age-related cognitive disorders, shifting the focus from reactive treatments to proactive and precision-based interventions. This review summarizes the current knowledge on the mechanistic underpinnings of brain aging, including mitochondrial dysfunction, chronic neuroinflammation, epigenetic alterations, and the disruption of proteostasis. Cutting-edge diagnostic tools were highlighted, such as fluid biomarkers, advanced neuroimaging, and artificial intelligence (AI)-driven predictive models that enable the early detection of pathological changes. Emerging therapeutic approaches, ranging from senolytics and metabolic modulators to lifestyle interventions, have been discussed in the context of personalized therapies. Furthermore, this review summarized the challenges of data interoperability, ethical considerations of genetic risk disclosure, and the imperative for equitable access to these advances. By integrating multi-omics data with real-world metrics, precision medicine offers a transformative framework for preserving cognitive resilience. This review underscores the potential of tailored interventions to mitigate brain aging while addressing the scientific, clinical, and ethical hurdles that remain.

Authors

Institutions

Publication Details

Journal
Brain Network Disorders
Published
2025-11-24
DOI
https://doi.org/10.1016/j.bnd.2025.09.002
Citations
4
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
3.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Brain aging: Unlocking personalized strategies for cognitive resilience

Timur Saliev
4 citations
Brain Network Disorders
Epigenetics and DNA Methylation
3.22
article

Brain aging: Unlocking personalized strategies for cognitive resilience

Timur Saliev
article en
4 citations

Abstract

Brain aging is a complex biological process characterized by a progressive decline in cognitive function and increased vulnerability to neurodegenerative diseases. Although aging is inevitable, its trajectory varies significantly among individuals and is influenced by genetic, molecular, and environmental factors. The increase in global life expectancy has intensified the need for innovative strategies to address age-related cognitive disorders, shifting the focus from reactive treatments to proactive and precision-based interventions. This review summarizes the current knowledge on the mechanistic underpinnings of brain aging, including mitochondrial dysfunction, chronic neuroinflammation, epigenetic alterations, and the disruption of proteostasis. Cutting-edge diagnostic tools were highlighted, such as fluid biomarkers, advanced neuroimaging, and artificial intelligence (AI)-driven predictive models that enable the early detection of pathological changes. Emerging therapeutic approaches, ranging from senolytics and metabolic modulators to lifestyle interventions, have been discussed in the context of personalized therapies. Furthermore, this review summarized the challenges of data interoperability, ethical considerations of genetic risk disclosure, and the imperative for equitable access to these advances. By integrating multi-omics data with real-world metrics, precision medicine offers a transformative framework for preserving cognitive resilience. This review underscores the potential of tailored interventions to mitigate brain aging while addressing the scientific, clinical, and ethical hurdles that remain.

Brain Network DisordersVol. 1(4)
Kazakh National Medical University (KZ)
Openalex Percentile: Top 7%
Epigenetics and DNA Methylation
3.22
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.