Cited by 27Laser Applications in Dentistry and MedicinePhotodynamic Therapy Research StudiesAlzheimer's disease research and treatments

Nanoparticle-emitted light attenuates amyloid-β-induced superoxide and inflammation in astrocytes

Open access
Bungart, Brittani L., Dong, Li, Sobek, Daniel, Sun, Grace Y., Yao, Gang, Lee, James C-M.·2014·Nanomedicine: Nanotechnology, Biology and Medicine

Abstract

Alzheimer's disease (AD) is the sixth leading cause of age-related death with no effective intervention yet available. Our previous studies have demonstrated the potential efficacy of Low Level Laser Therapy (LLLT) in AD cell models by mitigating amyloid-β peptide (Aβ)-induced oxidative stress and inflammation. However, the penetration depth of light is still the major challenge for implementing LLLT in animal models and in the clinical settings. In this study, we present the potential of applying Bioluminescence Resonance Energy Transfer to Quantum Dots (BRET-Qdots) as an alternative near infrared (NIR) light source for LLLT. Our results show that BRET-Qdot-emitted NIR suppresses Aβ-induced oxidative stress and inflammatory responses in primary rat astrocytes. These data provide a proof of concept for a nanomedicine platform for LLLT.From the clinical editor Low Level Laser Therapy has already been demonstrated to mitigate amyloid-β peptide induced oxidative stress and inflammation, a key driver of Alzheimer's disease. The major issue in moving this forward from cell cultures to live animals and potentially to human subjects is light penetration depth. In this novel study, BRET-Qdots were used as an alternative near infrared light source with good efficacy, paving the way to the development of a nanomedicine platform.

Integrity signals

Registry

Crossref · 10.1016/j.nano.2013.10.007

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Bungart, B. L., Dong, L., Sobek, D., Sun, G. Y., Yao, G., & Lee, J. C.-M.
Affiliations
  • University of Missouri (US)
  • Zymera (United States) (US)
Corresponding author
Lee, James C-M.
Venue
Nanomedicine: Nanotechnology, Biology and Medicine
Publisher
Elsevier BV
Published
2014-01
Volume
10
Issue
1
Pages
15-17
ISSN
1549-9634 (ISSN-L)
OpenAlex
W1999255024
Cited by
27
References
10
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 2 · 2020: 4 · 2019: 5 · 2018: 1 · 2017: 5 · 2016: 4 · 2014: 2
FWCI
1.55
Type
journal article
Language
en
Open access
Locations
  • Nanomedicine Nanotechnology Biology and Medicine (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institute on Aging (R21AG032579)
  • National Institute of Neurological Disorders and Stroke (R21NS052385)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Laser Applications in Dentistry and Medicine
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Photodynamic Therapy Research Studies
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Keywords
low-level laser therapy, amyloid-beta, Alzheimer's disease, astrocytes, oxidative stress, inflammation, superoxide, bioluminescence resonance energy transfer, quantum dots, near-infrared light, light penetration depth, nanomedicine
MeSH terms
Alzheimer Disease, Animals, Astrocytes, Humans, Inflammation, Light, Amyloid beta-Peptides, Oxidative Stress, Low-Level Light Therapy, Quantum Dots, Nanomedicine, Rats, Nanoparticles, Bioluminescence Resonance Energy Transfer Techniques

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review