Evidence map›Paper›PMID 40783909›Full record

ReviewBiogerontology2025

Advancements in the investigation of the mechanisms underlying cognitive aging.

Honglu Zou, Shuo Zhang, Xinxin Cui, Hongyan Xu, Zhangying Zhou, Danmeng Cheng, Yanan Han, Youcai Tang, Anqin Dong, Xianwen Dong

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Biogerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Honglu ZouHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Shuo ZhangInstitute of Rehabilitation Medicine, Henan Academy of Innovations in Medical Science, Zhengzhou, 450052, Henan, China.
Xinxin CuiHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Hongyan XuHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Zhangying ZhouHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Danmeng ChengHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Yanan HanHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Youcai TangHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. ytang6677@zzu.edu.cn.
Anqin DongHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. anqindong@163.com.
Xianwen DongHenan Provincial Rehabilitation Key Laboratory, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China. xianwen.2004@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AgingBrainCognitionCognitive AgingNeurodegenerative DiseasesAnimalsEpigenesis, GeneticHumansBrain cognitive agingEnvironment-gene interactionIntervention strategiesMolecular mechanismsNeurobiology

Identifiers

PMID40783909
PMCPMC12336085

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.