Evidence map›Paper›PMID 24837630›Full record

ArticleJournal of visualized experiments : JoVE2014

In vivo optical imaging of brain tumors and arthritis using fluorescent SapC-DOPS nanovesicles.

Zhengtao Chu, Kathleen LaSance, Victor Blanco, Chang-Hyuk Kwon, Balveen Kaur, Malinda Frederick, Sherry Thornton, Lisa Lemen, Xiaoyang Qi

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. 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
–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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. "Eat me" imaging and therapy.Advanced drug delivery reviews · 2016
    Review
  9. Article
  10. 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

9 authors.

Zhengtao ChuDivision of Hematology-Oncology, Department of Internal Medicine, University of Cincinnati College of Medicine; Division of Human Genetics, University of Cincinnati College of Medicine.
Kathleen LaSanceDepartment of Radiology, University of Cincinnati College of Medicine.
Victor BlancoDivision of Hematology-Oncology, Department of Internal Medicine, University of Cincinnati College of Medicine.
Chang-Hyuk KwonSolid Tumor Biology Program, James Comprehensive Cancer Center, The Ohio State University Medical Center; Department of Neurological Surgery, James Comprehensive Cancer Center, The Ohio State University Medical Center.
Balveen KaurSolid Tumor Biology Program, James Comprehensive Cancer Center, The Ohio State University Medical Center; Department of Neurological Surgery, James Comprehensive Cancer Center, The Ohio State University Medical Center.
Malinda FrederickDivision of Rheumatology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine.
Sherry ThorntonDivision of Rheumatology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine.
Lisa LemenDepartment of Radiology, University of Cincinnati College of Medicine.
Xiaoyang QiDivision of Hematology-Oncology, Department of Internal Medicine, University of Cincinnati College of Medicine; Division of Human Genetics, University of Cincinnati College of Medicine; xiaoyang.qi@uc.edu.

Funding

The Tumor Microenvironmental Barrier to Effective Viral OncolysisP01CA163205 · NCI · OHIO STATE UNIVERSITY · PI MICHAEL A CALIGIURI · 2013 to 2026
$26.0M
Enhancing Viral Oncolysis with Vasculostatin Gene DeliveryR01CA150153 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KAUR, BALVEEN · 2011 to 2020
$4.0M
OV Therapy Induced Changes in Tumor Secretome and Their Impact on TherapyR01NS064607 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI KAUR, BALVEEN · 2008 to 2018
$3.2M
Acidic Phospholipid-Selective Treatment for NeuroblastomaR01CA158372 · NCI · UNIVERSITY OF CINCINNATI · PI QI, XIAOYANG · 2011 to 2015
$1.6M
NCI NIH HHS 1R01CA158372-01NCI NIH HHS P01 CA163205NCI NIH HHS R01 CA150153NCI NIH HHS R01 CA158372NINDS NIH HHS R01 NS064607
6 · The paper itself

Abstract

We describe a multi-angle rotational optical imaging (MAROI) system for in vivo monitoring of physiopathological processes labeled with a fluorescent marker. Mouse models (brain tumor and arthritis) were used to evaluate the usefulness of this method. Saposin C (SapC)-dioleoylphosphatidylserine (DOPS) nanovesicles tagged with CellVue Maroon (CVM) fluorophore were administered intravenously. Animals were then placed in the rotational holder (MARS) of the in vivo imaging system. Images were acquired in 10° steps over 380°. A rectangular region of interest (ROI) was placed across the full image width at the model disease site. Within the ROI, and for every image, mean fluorescence intensity was computed after background subtraction. In the mouse models studied, the labeled nanovesicles were taken up in both the orthotopic and transgenic brain tumors, and in the arthritic sites (toes and ankles). Curve analysis of the multi angle image ROIs determined the angle with the highest signal. Thus, the optimal angle for imaging each disease site was characterized. The MAROI method applied to imaging of fluorescent compounds is a noninvasive, economical, and precise tool for in vivo quantitative analysis of the disease states in the described mouse models.

Indexed as

AbsorptionAnimalsArthritisBrain NeoplasmsFemaleFluorescent DyesMaleMiceMice, Inbred C57BLMice, Inbred NODMice, NudeMice, TransgenicNanostructuresOptical ImagingOptics and PhotonicsPhosphatidylserines1,2-dioleoylphosphatidylserineFluorescent DyesPhosphatidylserinesSaposins

Identifiers

PMID24837630
PMCPMC4120271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.