Evidence map›Paper›PMID 31020629›Full record

ArticleNeurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics2019

Characterization and Imaging of Lipid-Shelled Microbubbles for Ultrasound-Triggered Release of Xenon.

Himanshu Shekhar, Arunkumar Palaniappan, Tao Peng, Maxime Lafond, Melanie R Moody, Kevin J Haworth, Shaoling Huang, David D McPherson, Christy K Holland

Open access · bronzeAbstract read
In one paragraph

Article in Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 29 citations in OpenAlex.

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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 3 institutions in 1 country.

Himanshu ShekharDivision of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati, Cincinnati, Ohio, USA. h.shekhar.uc@gmail.com.ORCID 0000-0003-1226-4196
Arunkumar PalaniappanDivision of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Tao PengDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Maxime LafondDivision of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Melanie R MoodyDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Kevin J HaworthDivision of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
Shaoling HuangDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA.
David D McPhersonDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA.
Christy K HollandDivision of Cardiovascular Health and Disease, Department of Internal Medicine, University of Cincinnati, Cincinnati, Ohio, USA.
The University of Texas Health Science Center at Houston · USUniversity of Cincinnati · USCincinnati Health Department · US

Funding

Ultrasound-Assisted Thrombolysis for Stroke TherapyR01NS047603 · NINDS · UNIVERSITY OF CINCINNATI · PI HOLLAND, CHRISTY K. · 2004 to 2018
$7.5M
Epigenetic Markers and Sustained Cytoprotection for Stroke TreatmentR42NS098918 · NINDS · ZYMO RESEARCH CORPORATION · PI Keith Booher, Shaoling Huang · 2021 to 2026
$4.4M
Ultrasound-mediated oxygen scavenging for inhibition of reperfusion injuryK25HL133452 · NHLBI · UNIVERSITY OF CINCINNATI · PI HAWORTH, KEVIN JOSEPH · 2016 to 2019
$631k
Epigenetic Markers and Sustained Cytoprotection for Stroke TreatmentR41NS098918 · NINDS · ZYMO RESEARCH CORPORATION · PI BOOHER, KEITH, GUO, WEI · 2017 to 2017
$225k
NHLBI NIH HHS K25 HL133452NINDS NIH HHS R01 NS047603NINDS NIH HHS R41 NS098918NINDS NIH HHS R42 NS098918
6 · The paper itself

Abstract

Xenon (Xe) is a bioactive gas capable of reducing and stabilizing neurologic injury in stroke. The goal of this work was to develop lipid-shelled microbubbles for xenon loading and ultrasound-triggered release. Microbubbles loaded with either xenon (Xe-MB) or xenon and octafluoropropane (Xe-OFP-MB) (9:1 v/v) were synthesized by high-shear mixing. The size distribution and the frequency-dependent attenuation coefficient of Xe-MB and Xe-OFP-MB were measured using a Coulter counter and a broadband acoustic attenuation spectroscopy system, respectively. The Xe dose was evaluated using gas chromatography/mass spectrometry. The total Xe doses in Xe-MB and Xe-OFP-MB were 113.1 ± 13.5 and 145.6 ± 25.5 μl per mg of lipid, respectively. Co-encapsulation of OFP increased the total xenon dose, attenuation coefficient, microbubble stability (in an undersaturated solution), and shelf life of the agent. Triggered release of gas payload was demonstrated with 6-MHz duplex Doppler and 220-kHz pulsed ultrasound. These results constitute the first step toward the use of lipid-shelled microbubbles for applications such as neuroprotection in stroke.

Indexed as

MicrobubblesAnimalsDrug Delivery SystemsFluorocarbonsGas Chromatography-Mass SpectrometryLipidsMaleMiceNeuroprotective AgentsUltrasonicsUltrasonographyXenonFluorocarbonsLipidsNeuroprotective AgentsperflutrenXenonBioactive gas deliverycytoprotection.lipid-shelled microbubblesultrasoundxenon delivery

Identifiers

PMID31020629
PMCPMC6694347
OpenAlexW2941182919

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.