Evidence map›Paper›PMID 38739358›Full record

ReviewNano convergence2024

Extracellular vesicles as nanotheranostic platforms for targeted neurological disorder interventions.

Hye Kyu Choi, Meizi Chen, Li Ling Goldston, Ki-Bum Lee

Abstract readReview
In one paragraph

Review in Nano convergence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
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  6. Article
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  10. Article
  11. Article
  12. Article
  13. Review
  14. Nanoodor Particles Deliver Drugs to Central Nervous System via Olfactory Pathway.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  15. Review
  16. Article
  17. Review
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

4 authors.

Hye Kyu Choi *Department of Chemistry and Chemical Biology, The State University of New Jersey, 123 Bevier Road, Rutgers, Piscataway, NJ, 08854, USA.
Meizi Chen *Department of Chemistry and Chemical Biology, The State University of New Jersey, 123 Bevier Road, Rutgers, Piscataway, NJ, 08854, USA.
Li Ling Goldston *Department of Chemistry and Chemical Biology, The State University of New Jersey, 123 Bevier Road, Rutgers, Piscataway, NJ, 08854, USA.
Ki-Bum LeeDepartment of Chemistry and Chemical Biology, The State University of New Jersey, 123 Bevier Road, Rutgers, Piscataway, NJ, 08854, USA. kblee@rutgers.edu.ORCID http://orcid.org/0000-0002-8164-0047

Funding

Targeting Cell-Type Specific Disease Phenotypes to Promote CNS RepairRM1NS133003 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI NAGI G AYAD, Jae K Lee · 2023 to 2026
$4.8M
Rutgers Optimizes Innovation (ROI) ProgramU01HL150852 · NHLBI · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI LIBUTTI, STEVEN K., PANETTIERI, REYNOLD ALEXANDER · 2019 to 2022
$4.4M
Machine learning-enabled Comparative Transcriptomic Profiling to Validate NanoScript-induced Inner Ear Hair CellsR01DC016612 · NIDCD · RUTGERS, THE STATE UNIV OF N.J. · PI KWAN, KELVIN Y., LEE, KIBUM · 2018 to 2022
$2.8M
Injectable Hybrid SMART Spheroids to Enhance Stem Cell Therapy for CNS InjuriesR01NS130836 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI Kibum Lee · 2023 to 2026
$1.3M
Investigating mitochondrial dysfunction in neurodegeneration using A Nanoparticle-based Synthetic Mitochondrial DNA (mtDNA) Transcription RegulatorR21NS132556 · NINDS · RUTGERS, THE STATE UNIV OF N.J. · PI LEE, KIBUM · 2023 to 2024
$390k
Alzheimer's Association AARG-NTF-21-847862NHLBI NIH HHS U01 HL150852NHLBI NIH HHS U01HL150852NIDCD NIH HHS R01 DC016612NIH HHS 1R01DC016612NIH HHS 1R01NS130836-01A1NIH HHS 3R01DC016612-01S1NIH HHS 5R01DC016612-02S1NIH HHS R21-NS132556-01NIH HHS RM1 NS133003-01NINDS NIH HHS R01 NS130836NINDS NIH HHS R21 NS132556NINDS NIH HHS RM1 NS133003
6 · The paper itself

Abstract

Central Nervous System (CNS) disorders represent a profound public health challenge that affects millions of people around the world. Diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), and traumatic brain injury (TBI) exemplify the complexities and diversities that complicate their early detection and the development of effective treatments. Amid these challenges, the emergence of nanotechnology and extracellular vesicles (EVs) signals a new dawn for treating and diagnosing CNS ailments. EVs are cellularly derived lipid bilayer nanosized particles that are pivotal in intercellular communication within the CNS and have the potential to revolutionize targeted therapeutic delivery and the identification of novel biomarkers. Integrating EVs with nanotechnology amplifies their diagnostic and therapeutic capabilities, opening new avenues for managing CNS diseases. This review focuses on examining the fascinating interplay between EVs and nanotechnology in CNS theranostics. Through highlighting the remarkable advancements and unique methodologies, we aim to offer valuable perspectives on how these approaches can bring about a revolutionary change in disease management. The objective is to harness the distinctive attributes of EVs and nanotechnology to forge personalized, efficient interventions for CNS disorders, thereby providing a beacon of hope for affected individuals. In short, the confluence of EVs and nanotechnology heralds a promising frontier for targeted and impactful treatments against CNS diseases, which continue to pose significant public health challenges. By focusing on personalized and powerful diagnostic and therapeutic methods, we might improve the quality of patients.

Indexed as

Central nervous system (CNS) diseasesCNS theranosticsDiagnostic nanotoolsEarly diagnosis of neurological disordersEV-based therapeuticsExtracellular vesicles (EVs)Nanotechnology

Identifiers

PMID38739358
PMCPMC11091041

What Socratic 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 Socratic graph.