Evidence map›Paper›PMID 37991895›Full record

ArticleNano letters2023

Intracerebral Nanoparticle Transport Facilitated by Alzheimer Pathology and Age.

Gregory C Tracy, Kai-Yu Huang, Yu-Tong Hong, Shengzhe Ding, Hayden A Noblet, Ki H Lim, Eung Chang Kim, Hee Jung Chung, Hyunjoon Kong

Open access · greenAbstract read
In one paragraph

Article in Nano letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  8. Reply to Caruso Bavisotto et al.: Toward exploring the potential of muscle-secreting exosomes in the muscle-brain axis.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

9 authors at 1 institution in 2 countries.

Gregory C TracyDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Kai-Yu HuangDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Yu-Tong HongDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Shengzhe DingDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Hayden A NobletDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Ki H LimDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Eung Chang KimDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Hee Jung ChungDepartment of Molecular and Integrative Physiology, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.
Hyunjoon KongDepartment of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.ORCID 0000-0003-4680-2968
University of Illinois Urbana-Champaign · US

Funding

Super-Resolution Microscopy of Small Quantum Dots to Elucidate the Mechanisms of Alzheimer's DiseaseR01NS097610 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CHUNG, HEE JUNG, SELVIN, PAUL R · 2016 to 2020
$3.3M
Super-Resolution Microscopy of Neuronal Synapses with Small Quantum Dots and Advanced Imaging ToolsR01NS100019 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CHUNG, HEE JUNG, SELVIN, PAUL R · 2017 to 2025
$3.2M
Tuning neuronal excitability by axonal targeting of Kv7 channelsR01NS083402 · NINDS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI CHUNG, HEE JUNG · 2015 to 2019
$1.7M
Dynamic Circadian Regulation of the Blood-Brain Interface in a Human Brain-mimicking Microfluid ChipR61HL159948 · NHLBI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI GILLETTE, MARTHA U, HAN, BUMSOO · 2021 to 2022
$1.7M
NHLBI NIH HHS R61 HL159948NINDS NIH HHS R01 NS083402NINDS NIH HHS R01 NS097610NINDS NIH HHS R01 NS100019
6 · The paper itself

Abstract

Nanoparticles have emerged as potential transporters of drugs targeting Alzheimer's disease (AD), but their design should consider the blood-brain barrier (BBB) integrity and neuroinflammation of the AD brain. This study presents that aging is a significant factor for the brain localization and retention of nanoparticles, which we engineered to bind with reactive astrocytes and activated microglia. We assembled 200 nm-diameter particles using a block copolymer of poly(lactic-co-glycolic acid) (PLGA) and CD44-binding hyaluronic acid (HA). The resulting PLGA-b-HA nanoparticles displayed increased binding to CD44-expressing reactive astrocytes and activated microglia. Upon intravascular injection, nanoparticles were localized to the hippocampi of both APP/PS1 AD model mice and their control littermates at 13-16 months of age due to enhanced transvascular transport through the leaky BBB. No particles were found in the hippocampi of young adult mice. These findings demonstrate the brain localization of nanoparticles due to aging-induced BBB breakdown regardless of AD pathology.

Indexed as

Alzheimer DiseaseNanoparticlesAnimalsBlood-Brain BarrierBrainMiceMice, TransgenicPolylactic Acid-Polyglycolic Acid CopolymerPolylactic Acid-Polyglycolic Acid CopolymeragingAlzheimer’s diseaseblood-brain barrierhyaluronic acidPLGA nanoparticlesreactive astrocytes

Identifiers

PMID37991895
PMCPMC11404402
OpenAlexW4388906784

What OpenQuestion holds

Textmetadata
LicenceTDM
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.