Evidence map›Paper›PMID 33160377›Full record

ArticleJournal of nanobiotechnology2020

Superparamagnetic iron oxide nanoparticles conjugated with Aβ oligomer-specific scFv antibody and class A scavenger receptor activator show therapeutic potentials for Alzheimer's Disease.

Xiao-Ge Liu, Lun Zhang, Shuai Lu, Dong-Qun Liu, Ya-Ru Huang, Jie Zhu, Wei-Wei Zhou, Xiao-Lin Yu, Rui-Tian Liu

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Journal of nanobiotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
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

20 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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  5. Review
  6. Brain Targeting Nanomedicines: Pitfalls and Promise.International journal of nanomedicine · 2024
    Review
  7. Review
  8. Review
  9. Article
  10. Metal Nanoparticles in Alzheimer's Disease.Journal of Alzheimer's disease reports · 2023
    Review
  11. Recent progress of nanomedicine in the treatment of Alzheimer's disease.Frontiers in cell and developmental biology · 2023
    Review
  12. Review
  13. The application of nanotechnology in treatment of Alzheimer's disease.Frontiers in bioengineering and biotechnology · 2022
    Review
  14. Review
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. Nanomedicine: A Promising Way to Manage Alzheimer's Disease.Frontiers in bioengineering and biotechnology · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Xiao-Ge LiuState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Lun ZhangState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Shuai LuState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Dong-Qun LiuState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Ya-Ru HuangState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Jie ZhuState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Wei-Wei ZhouState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China.
Xiao-Lin YuState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China. yuxiaolin@ipe.ac.cn.
Rui-Tian LiuState Key Laboratory of Biochemical Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing, 100190, China. rtliu@ipe.ac.cn.ORCID http://orcid.org/0000-0002-4297-4765
Institute of Process Engineering · CN

Funding

National Natural Science Foundation of China 81971610
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder. No disease-modifying strategy to prevent or delay AD progression currently exists. Aβ oligomers (AβOs), rather than monomers or fibrils, are considered as the primary neurotoxic species. Therapeutic approaches that direct against AβOs and promote Aβ clearance may have great value for AD treatment.

resultsWe here reported a multifunctional superparamagnetic iron oxide nanoparticle conjugated with Aβ oligomer-specific scFv antibody W20 and class A scavenger receptor activator XD4 (W20/XD4-SPIONs). Besides the diagnostic value, W20/XD4-SPIONs retained the anti-Aβ properties of W20 and XD4 by inhibiting Aβ aggregation, attenuating AβO-induced cytotoxicity and increasing microglial phagocytosis of Aβ. When applied to APP/PS1 mice, W20/XD4-SPIONs significantly rescued cognitive deficits and alleviated neuropathology of AD mice.

conclusionThese results suggest that W20/XD4-SPIONs show therapeutic benefits for AD. In combination with the early diagnostic property, W20/XD4-SPIONs present as a promising agent for early-stage AD diagnosis and intervention.

Indexed as

Alzheimer DiseaseAmyloidAmyloid beta-PeptidesAnimalsBrainCytokinesKineticsMagnetic Iron Oxide NanoparticlesMaleMiceMice, TransgenicMicrogliaPeptide FragmentsPhagocytosisReceptors, ScavengerSingle-Chain AntibodiesAmyloidAmyloid beta-PeptidesCytokinesPeptide FragmentsReceptors, ScavengerSingle-Chain AntibodiesAlzheimer’s diseaseClass A scavenger receptorOligomerTherapyβ-Amyloid

Identifiers

PMID33160377
PMCPMC7648289
OpenAlexW3096591301

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.