Evidence map›Paper›PMID 28081299›Full record

ArticleAdvanced healthcare materials2017

Ultrasound Detection of Regional Oxidative Stress in Deep Tissues Using Novel Enzyme Loaded Nanoparticles.

Emilia S Olson, Inanc Ortac, Christopher Malone, Sadik Esener, Robert Mattrey

Open access · greenAbstract read
In one paragraph

Article in Advanced healthcare materials, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  6. New Ultrasound Techniques Promise Further Advances in AKI and CKD.Journal of the American Society of Nephrology : JASN · 2017
    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

5 authors at 3 institutions in 1 country.

Emilia S OlsonDepartment of Radiology, University of California, San Diego, 410 Dickinson St., San Diego, CA, 92103, USA.
Inanc OrtacDevacell, Inc., 6650 Lusk Blvd. Suite B105, San Diego, CA, 92121, USA.
Christopher MaloneDepartment of Radiology, University of California, San Diego, 410 Dickinson St., San Diego, CA, 92103, USA.
Sadik EsenerDepartment of Nanoengineering, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093, USA.
Robert MattreyDepartment of Radiology, University of California, San Diego, 410 Dickinson St., San Diego, CA, 92103, USA.
University of California, San Diego · USUniversity of San Diego · USDigitalSpace (United States) · US

Funding

Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
NIBIB NIH HHS T32 EB005970
6 · The paper itself

Abstract

Oxidative stress is a powerful tool that is critical to immune mediated responses in healthy individuals, yet additionally plays a crucial role in development of cancer, inflammatory pathologies, and tissue ischemia. Despite this, there remain relatively few molecular tools to study oxidative stress, particularly in living mammals. To develop an intravenously injectable probe capable of labeling sites of oxidative stress in vivo, 200 nm catalase synthetic hollow enzyme loaded nanospheres (catSHELS) are designed and fabricated using a versatile enzyme nanoencapsulation method. catSHELS catalyze H

Indexed as

CatalaseOxidative StressUltrasonographyAnimalsDisease Models, AnimalFemaleIschemiaKidneyNanospheresRatsRats, Sprague-DawleyCatalaseacute kidney injuryischemia reperfusion injurynanoparticlesnanotechnology

Identifiers

PMID28081299
PMCPMC5516546
OpenAlexW2571889868

What OpenQuestion holds

Textmetadata
LicenceTDM
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.