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Cited by 45Nanoparticle-Based Drug DeliveryNanoplatforms for cancer theranosticsNanotechnology research and applications

Advanced theragnostics for the central nervous system (CNS) and neurological disorders using functional inorganic nanomaterials

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Conklin, Brandon, Conley, Brian M., Hou, Yannan, Chen, Meizi, Lee, Ki-Bum·2023·Advanced Drug Delivery Reviews
DOI 10.1016/j.addr.2022.114636PMC PMC11829738
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Abstract

Various types of inorganic nanomaterials are capable of diagnostic biomarker detection and the therapeutic delivery of a disease or inflammatory modulating agent. Those multi-functional nanomaterials have been utilized to treat neurodegenerative diseases and central nervous system (CNS) injuries in an effective and personalized manner. Even though many nanomaterials can deliver a payload and detect a biomarker of interest, only a few studies have yet to fully utilize this combined strategy to its full potential. Combining a nanomaterial's ability to facilitate targeted delivery, promote cellular proliferation and differentiation, and carry a large amount of material with various sensing approaches makes it possible to diagnose a patient selectively and sensitively while offering preventative measures or early disease-modifying strategies. By tuning the properties of an inorganic nanomaterial, the dimensionality, hydrophilicity, size, charge, shape, surface chemistry, and many other chemical and physical parameters, different types of cells in the central nervous system can be monitored, modulated, or further studies to elucidate underlying disease mechanisms. Scientists and clinicians have better understood the underlying processes of pathologies for many neurologically related diseases and injuries by implementing multi-dimensional 0D, 1D, and 2D theragnostic nanomaterials. The incorporation of nanomaterials has allowed scientists to better understand how to detect and treat these conditions at an early stage. To this end, having the multi-modal ability to both sense and treat ailments of the central nervous system can lead to favorable outcomes for patients suffering from such injuries and diseases.

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  • Nanotechnology can harness unique properties of materials at the nanoscale to create novel tools for both diagnosis and treatment of disease.

    “This technology can further harness the unique properties of materials at the nanoscale, particularly in the electrical, optical, and chemical domains, to create novel tools for both diagnosis and treatment of disease [29–31].”

    From Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions (2024) · cites this paper as [30]

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Authors
Conklin, B., Conley, B. M., Hou, Y., Chen, M., & Lee, K.-B.
Affiliations
Rutgers, The State University of New Jersey (US)
Corresponding author
Lee, Ki-Bum
ORCID
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2023-01
Volume
192
Pages
114636
ISSN
0169-409X (ISSN-L)
DOI
10.1016/j.addr.2022.114636
PMC
PMC11829738
OpenAlex
W4311909208
Cited by
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References
14
Citations by year
2026: 9 · 2025: 13 · 2024: 16 · 2023: 7
FWCI
0.62
Type
journal article
Language
en
Update notices
erratum (2023-04-01)
Open access
Licence
Locations
  • Advanced Drug Delivery Reviews (acceptedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health
  • Alzheimer's Association
  • New Jersey Health Foundation
  • New Jersey Commission on Spinal Cord Research
  • New Jersey Department of Health
  • Rutgers University
  • NSF
Topics
  • Physical Sciences › Materials Science › Biomaterials › Nanoparticle-Based Drug Delivery
  • Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
  • Physical Sciences › Engineering › Biomedical Engineering › Nanotechnology research and applications
Keywords
theranostics, inorganic nanomaterials, central nervous system, neurological disorders, neurodegenerative diseases, central nervous system injury, biomarker detection, targeted drug delivery, surface chemistry, early diagnosis
MeSH terms
Central Nervous System, Humans, Neurodegenerative Diseases, Nanostructures

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 ›

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