Evidence map›Paper›PMID 35094343›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Focused Ultrasound-Mediated Intranasal Brain Drug Delivery Technique (FUSIN).

Dezhuang Ye, Hong Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Nose-to-brain drug delivery: from bench to bedside.Translational neurodegeneration · 2025
    Review
  5. Review
  6. Genetic modulation of thePNAS nexus · 2023
    Article
  7. Article
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

2 authors at 1 institution in 1 country.

Dezhuang YeDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA.
Hong ChenDepartment of Biomedical Engineering, Washington University in St. Louis, Saint Louis, MO, USA. hongchen@wustl.edu.
Washington University in St. Louis · US

Funding

Image-guided focused ultrasound-mediated intranasal brain drug delivery technique (FUSIN)R01EB027223 · NIBIB · WASHINGTON UNIVERSITY · PI Hong Chen · 2019 to 2026
$4.3M
FOCUS: FUNCTIONAL OPTICAL IMAGING FEEDBACK-CONTROLLED CELLULAR-LEVEL ULTRASOUND STIMULATIONR01MH116981 · NIMH · WASHINGTON UNIVERSITY · PI CHEN, HONG · 2018 to 2021
$2.8M
NIBIB NIH HHS R01 EB027223NIMH NIH HHS R01 MH116981
6 · The paper itself

Abstract

The blood-brain barrier (BBB) is the major barrier for brain drug delivery and limits the treatment options for central nervous system diseases. To circumvent the BBB, we introduced the focused ultrasound-mediated intranasal brain drug delivery (FUSIN) technique. FUSIN utilizes the nasal route for direct nose-to-brain drug administration, bypassing the BBB and minimizing systemic exposure. It also uses the transcranial application of ultrasound energy focused at a targeted brain region to induce microbubble cavitation, which enhances the transport of intranasally administered agents at the FUS-targeted brain location. FUSIN is unique in that it can achieve noninvasive and localized brain drug delivery with minimized systemic toxicity. The goal of this chapter is to provide a detailed protocol for FUSIN delivery to the mouse brain.

Indexed as

BrainReceptors, CXCR4Administration, IntranasalAnimalsBlood-Brain BarrierDrug Delivery SystemsMiceMicrobubblesReceptors, CXCR4Blood–brain barrierBrain drug deliveryFocused ultrasoundIntranasal administrationMicrobubbles

Identifiers

PMID35094343
OpenAlexW4220732527

What OpenQuestion holds

Textmetadata
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.