Evidence map›Paper›PMID 42709795›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Size-tailored nanoparticle-antibody conjugates overcome hepatic sequestration in Alzheimer's disease treatment.

Xuewei Du, Ni Liu, Taoping Zhang, Changwen Yang, Haiming Luo

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Xuewei DuState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China.
Ni LiuMinistry of Education Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China.ORCID 0000-0002-7894-746X
Taoping ZhangState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China.
Changwen YangMinistry of Education Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China.
Haiming LuoState Key Laboratory of Digital Medical Engineering, Key Laboratory of Biomedical Engineering of Hainan Province, School of Biomedical Engineering, Hainan University, Haikou 570228, China.ORCID 0000-0002-6226-5800

Funding

Hainan University (HU) XJ2400008870Huazhong University of Science and Technology (HUST) 0214187096
6 · The paper itself

Abstract

Antibody-based immunotherapy targeting amyloid-β (Aβ) is a promising approach for Alzheimer's disease (AD). However, its efficacy is limited by rapid hepatic sequestration, complement activation, and liver dysfunction. In this study, we synthesized low-immunogenic 450-nm functionalized mesoporous silica nanoparticles (PEG-MSN-1F12) by conjugating the anti-Aβ

Indexed as

Alzheimer DiseaseAntibodies, MonoclonalImmunoconjugatesLiverNanoparticlesAmyloid beta-PeptidesAnimalsBrainHumansMiceMice, TransgenicParticle SizePolyethylene GlycolsSilicon DioxideAmyloid beta-PeptidesAntibodies, MonoclonalImmunoconjugatesPolyethylene GlycolsSilicon DioxideAlzheimer’s diseaseamyloid-βantibodyliver dysfunctionmesoporous silica nanoparticles

Identifiers

PMID42709795
PMCPMC13578777

What OpenQuestion holds

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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.