Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2025 Aug 10;26(4):158.
doi: 10.1007/s10522-025-10300-4.

Advancements in the investigation of the mechanisms underlying cognitive aging

Affiliations
Review

Advancements in the investigation of the mechanisms underlying cognitive aging

Honglu Zou et al. Biogerontology. .

Abstract

Cognitive aging, a pivotal domain at the intersection of neuroscience and psychology, exhibits a strong association with neurodegenerative disorders; however, its comprehensive underlying mechanisms remain incompletely elucidated. This review aims to provide a thorough synthesis of recent advancements in the investigation of cognitive aging in the brain, highlighting multidimensional assessment techniques, neurobiological foundations, molecular regulatory pathways, systemic changes, environmental-gene interactions, and intervention strategies. Evidence suggests that cognitive aging is marked not only by widespread neuronal loss but also by subtle modifications within neural networks, protein homeostasis, mitochondrial functionality, and epigenetic regulation. The integration of various technological methodologies has shed light on the continuum that exists between cognitive aging and neurodegenerative disorders. Concurrently, multidimensional intervention strategies are being proposed; however, current research frameworks face challenges due to limitations in biomarker systems, indicating a need for a paradigm shift. Future investigations should leverage emerging technologies to develop more precise regulatory frameworks and personalized intervention strategies aimed at addressing the global challenges associated with aging, thereby enhancing the prevention and treatment of related pathologies.

Keywords: Brain cognitive aging; Environment-gene interaction; Intervention strategies; Molecular mechanisms; Neurobiology.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Investigations using aging murine models have indicated a significant decrease in the levels of serine/arginine (SR) protein 11, also referred to as SR splicing factor 11 (SFRS11), within the PFC. SFRS11 is known to interact directly with the 3' untranslated region (UTR) of low-density lipoprotein receptor-related protein 8 mRNA (LRP8 mRNA) and the third exon of apolipoprotein E (apoE) mRNA, thereby stabilizing these mRNAs and inhibiting the c-Jun N-terminal kinase (JNK) signaling pathway. The age-related decline of SFRS11 in the PFC results in reduced levels of apoE and LRP8, which activates the JNK pathway and contributes to cognitive dysfunction
Fig. 2
Fig. 2
Cyclin-dependent kinase-5 (Cdk5) substrates in brains with neurodegenerative diseases. In a neurodegenerative brain disease, there is Calpain cleavage in the N-terminal region of p35 to a more stable isoform p25, forming a CDK5/p25. This stable complex strongly phosphorylates neurofilaments, Tau, and another microtubule-associated protein, MAP1B compared with CDK5/p35 complex
Fig. 3
Fig. 3
This study comprehensively investigates the mechanisms of cognitive aging, employing a multi-faceted approach. Cognitive aging is defined using established neuropsychological assessments, including MOCA, MMSE, and ADAS-Cog, and advanced multimodal techniques such as neuroimaging, molecular marker analysis, and digital phenotyping. Brain atrophy patterns are visualized to illustrate age-related structural changes. Molecular regulatory mechanisms, encompassing mitochondria, cytokines, and chromatin, are examined to elucidate dynamic molecular alterations. Systemic factors, including the gut microbiome, vascular system, and immune system, are analyzed for their adaptive and maladaptive roles in cognitive aging. Gene-environment interactions, specifically the influence of environmental factors like diabetes and obesity on genes such as APOE-ε4, are explored. Intervention strategies encompass pharmacological interventions, dietary modifications, cognitive training, and physical activity. The “Others” category encompasses additional relevant research areas and influencing factors

Similar articles

  • Prescription of Controlled Substances: Benefits and Risks.
    Preuss CV, Kalava A, King KC. Preuss CV, et al. 2025 Jul 6. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2025 Jul 6. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 30726003 Free Books & Documents.
  • Management of urinary stones by experts in stone disease (ESD 2025).
    Papatsoris A, Geavlete B, Radavoi GD, Alameedee M, Almusafer M, Ather MH, Budia A, Cumpanas AA, Kiremi MC, Dellis A, Elhowairis M, Galán-Llopis JA, Geavlete P, Guimerà Garcia J, Isern B, Jinga V, Lopez JM, Mainez JA, Mitsogiannis I, Mora Christian J, Moussa M, Multescu R, Oguz Acar Y, Petkova K, Piñero A, Popov E, Ramos Cebrian M, Rascu S, Siener R, Sountoulides P, Stamatelou K, Syed J, Trinchieri A. Papatsoris A, et al. Arch Ital Urol Androl. 2025 Jun 30;97(2):14085. doi: 10.4081/aiua.2025.14085. Epub 2025 Jun 30. Arch Ital Urol Androl. 2025. PMID: 40583613 Review.
  • Short-Term Memory Impairment.
    Cascella M, Al Khalili Y. Cascella M, et al. 2024 Jun 8. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. 2024 Jun 8. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan–. PMID: 31424720 Free Books & Documents.
  • MarkVCID cerebral small vessel consortium: I. Enrollment, clinical, fluid protocols.
    Wilcock D, Jicha G, Blacker D, Albert MS, D'Orazio LM, Elahi FM, Fornage M, Hinman JD, Knoefel J, Kramer J, Kryscio RJ, Lamar M, Moghekar A, Prestopnik J, Ringman JM, Rosenberg G, Sagare A, Satizabal CL, Schneider J, Seshadri S, Sur S, Tracy RP, Yasar S, Williams V, Singh H, Mazina L, Helmer KG, Corriveau RA, Schwab K, Kivisäkk P, Greenberg SM; MarkVCID Consortium. Wilcock D, et al. Alzheimers Dement. 2021 Apr;17(4):704-715. doi: 10.1002/alz.12215. Epub 2021 Jan 21. Alzheimers Dement. 2021. PMID: 33480172 Free PMC article.
  • The emerging role of multiomics in aging research.
    Ruden DM. Ruden DM. Epigenomics. 2025 Sep;17(13):897-904. doi: 10.1080/17501911.2025.2533111. Epub 2025 Jul 20. Epigenomics. 2025. PMID: 40684321 Review.

References

    1. Agrawal P, Kaur J, Singh J et al (2024) Genetics, nutrition, and health: a new frontier in disease prevention. J Am Nutr Assoc 43:326–338. 10.1080/27697061.2023.2284997 - PubMed
    1. Alexander AL, Lee JE, Lazar M, Field AS (2007) Diffusion tensor imaging of the brain. Neurother J Am Soc Exp Neurother 4:316–329. 10.1016/j.nurt.2007.05.011 - PMC - PubMed
    1. Alkhalifa AE, Al-Ghraiybah NF, Odum J et al (2023) Blood-brain barrier breakdown in Alzheimer’s disease: mechanisms and targeted strategies. Int J Mol Sci 24:16288. 10.3390/ijms242216288 - PMC - PubMed
    1. Barbosa MC, Grosso RA, Fader CM (2018) Hallmarks of aging: an autophagic perspective. Front Endocrinol 9:790. 10.3389/fendo.2018.00790 - PMC - PubMed
    1. Benoit J, Onyeaka H, Keshavan M, Torous J (2020) Systematic review of digital phenotyping and machine learning in psychosis spectrum illnesses. Harv Rev Psychiatry 28:296–304. 10.1097/HRP.0000000000000268 - PubMed

LinkOut - more resources