Evidence map›Paper›PMID 41847148›Full record

ReviewNanoscale advances2026

Nanotechnology-based targeted delivery strategies for the treatment of Alzheimer's disease.

Xiaokui Yuan, Qin Tang, Tong Wang

Abstract readReview
In one paragraph

Review in Nanoscale advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Xiaokui YuanDepartment of Pharmacy, The Fourth People's Hospital of Chengdu, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China Chengdu China.
Qin TangDepartment of Clinical Laboratory, The Fourth People's Hospital of Chengdu, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China Chengdu China 1791147443@qq.com.
Tong WangDepartment of Clinical Laboratory, The Fourth People's Hospital of Chengdu, The Clinical Hospital of Chengdu Brain Science Institute, University of Electronic Science and Technology of China Chengdu China 1791147443@qq.com.ORCID https://orcid.org/0009-0002-4467-785X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer's disease (AD), as a common neurodegenerative disorder, seriously affects human health. However, the treatment of AD has always faced significant challenges and has attracted extensive attention in medical research. In recent years, nanoparticle-based therapeutic strategies have been identified as a promising direction in AD research due to their unique advantages and potential. These strategies leverage the distinctive physical and chemical properties of nanomaterials, enabling them to effectively traverse the blood-brain barrier and directly target pathological sites, thereby minimizing damage to normal tissues and enhancing therapeutic efficacy. This approach holds considerable promise for AD treatment. Current literature indicates that nanomedicines can deliver therapeutic agents, such as approved pharmaceuticals, natural compounds, antibodies, and metal nanoparticles, directly to lesion sites, thereby reducing collateral damage to healthy tissues and improving treatment outcomes. With continuous advancements in nanotechnology and ongoing scientific investigations, there is potential for developing safer and more effective treatment options for AD patients in the future. This review aims to summarize recent developments in nanoparticle-based strategies for AD therapy and elucidate their mechanisms of action, providing new insights for the future development and advancement of nanomedicines in this domain.

Identifiers

PMID41847148
PMCPMC12991028

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.