Evidence map›Paper›PMID 28126527›Full record

ArticleJournal of controlled release : official journal of the Controlled Release Society2017

Murine ultrasound-guided transabdominal para-aortic injections of self-assembling type I collagen oligomers.

Alexa A Yrineo, Amelia R Adelsperger, Abigail C Durkes, Matthew R Distasi, Sherry L Voytik-Harbin, Michael P Murphy, Craig J Goergen

Abstract read
In one paragraph

Article in Journal of controlled release : official journal of the Controlled Release Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. High-frequency murine ultrasound provides enhanced metrics of BAPN-induced AAA growth.American journal of physiology. Heart and circulatory physiology · 2019
    Article
  6. Review
  7. Article
  8. Article
  9. 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

7 authors.

Alexa A YrineoWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Amelia R AdelspergerWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Abigail C DurkesDepartment of Comparative Pathobiology, Purdue University, West Lafayette, IN, United States.
Matthew R DistasiIU Health Center for Aortic Disease, Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States.
Sherry L Voytik-HarbinWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States; Department of Basic Medical Sciences, Purdue University, West Lafayette, IN, United States.
Michael P MurphyIU Health Center for Aortic Disease, Department of Surgery, Indiana University School of Medicine, Indianapolis, IN, United States; Richard L. Roudebush VA Medical Center, Indianapolis, IN, United States.
Craig J GoergenWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States; Center for Cancer Research, Purdue University, West Lafayette, IN, United States. Electronic address: cgoergen@purdue.edu.

Funding

Mesenchymal stem cells induce regulatory T cells in patients with aortic aneurysmI01CX001407 · VA · RLR VA MEDICAL CENTER · PI MURPHY, MICHAEL PATRICK · 2017 to 2021
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CSRD VA I01 CX001407
6 · The paper itself

Abstract

Abdominal aortic aneurysms (AAAs) represent a potentially life-threatening condition that predominantly affects the infrarenal aorta. Several preclinical murine models that mimic the human condition have been developed and are now widely used to investigate AAA pathogenesis. Cell- or pharmaceutical-based therapeutics designed to prevent AAA expansion are currently being evaluated with these animal models, but more minimally invasive strategies for delivery could improve their clinical translation. The purpose of this study was to investigate the use of self-assembling type I collagen oligomers as an injectable therapeutic delivery vehicle in mice. Here we show the success and reliability of a para-aortic, ultrasound-guided technique for injecting quickly-polymerizing collagen oligomer solutions into mice to form a collagen-fibril matrix at body temperature. A commonly used infrarenal mouse AAA model was used to determine the target location of these collagen injections. Ultrasound-guided, closed-abdominal injections supported consistent delivery of collagen to the area surrounding the infrarenal abdominal aorta halfway between the right renal artery and aortic trifurcation into the iliac and tail arteries. This minimally invasive approach yielded outcomes similar to open-abdominal injections into the same region. Histological analysis on tissue removed on day 14 post-operatively showed minimal in vivo degradation of the self-assembled fibrillar collagen and the majority of implants experienced minimal inflammation and cell invasion, further confirming this material's potential as a method for delivering therapeutics. Finally, we showed that the typical length and position of this infrarenal AAA model was statistically similar to the length and targeted location of the injected collagen, increasing its feasibility as a localized therapeutic delivery vehicle. Future preclinical and clinical studies are needed to determine if specific therapeutics incorporated into the self-assembling type I collagen matrix described here can be delivered near the aorta and locally limit AAA expansion.

Indexed as

AnimalsAorta, AbdominalAortic Aneurysm, AbdominalCollagen Type IDrug Delivery SystemsEquipment DesignMaleMiceMice, Inbred C57BLUltrasonographyCollagen Type I

Identifiers

PMID28126527
PMCPMC5323294

What OpenQuestion holds

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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.