Evidence map›Paper›PMID 32744547›Full record

ArticleBiomaterials science2020

Induction of a higher-ordered architecture in glatiramer acetate improves its biological efficiency in an animal model of multiple sclerosis.

Ziyuan Song, Yee Ming Khaw, Lazaro A Pacheco, Kuan-Ying Tseng, Zhengzhong Tan, Kaimin Cai, Ettigounder Ponnusamy, Jianjun Cheng, Makoto Inoue

Open access · greenAbstract read
In one paragraph

Article in Biomaterials science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Ziyuan SongDepartment of Comparative Biosciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. makotoi@illinois.edu and Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. jianjunc@illinois.edu.ORCID http://orcid.org/0000-0002-3165-3712
Yee Ming KhawDepartment of Comparative Biosciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. makotoi@illinois.edu and University of Illinois at Urbana-Champaign, Neuroscience Program, 405 North Matthews Avenue, Urbana, Illinois 61801, USA.ORCID http://orcid.org/0000-0003-2452-3968
Lazaro A PachecoDepartment of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. jianjunc@illinois.edu.ORCID http://orcid.org/0000-0002-6977-0308
Kuan-Ying TsengDepartment of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. jianjunc@illinois.edu.
Zhengzhong TanDepartment of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. jianjunc@illinois.edu.ORCID http://orcid.org/0000-0002-2392-2935
Kaimin CaiDepartment of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. jianjunc@illinois.edu.ORCID http://orcid.org/0000-0001-9442-8312
Ettigounder PonnusamyMilliporeSigma, 545 South Ewing, St. Louis, Missouri 63103, USA.
Jianjun ChengDepartment of Materials Science and Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. jianjunc@illinois.edu.ORCID http://orcid.org/0000-0003-2561-9291
Makoto InoueDepartment of Comparative Biosciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, USA. makotoi@illinois.edu and University of Illinois at Urbana-Champaign, Neuroscience Program, 405 North Matthews Avenue, Urbana, Illinois 61801, USA.ORCID http://orcid.org/0000-0002-3991-3806
University of Illinois Urbana-Champaign · US

Funding

Brain neuron damage-mediated respiratory failure and mortality during Cryptococcus-associated immune reconstitution inflammatory syndrome in miceR01AI136999 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI INOUE, MAKOTO · 2019 to 2023
$1.9M
NIAID NIH HHS R01 AI136999
6 · The paper itself

Abstract

Glatiramer acetate (GA), a linear random copolypeptide, is a first-line treatment for multiple sclerosis (MS). A major concern, however, is that GA treatment is associated with adverse effects and poor patient adherence due to the need for frequent injections. Here we describe improved performance of the polymeric drug, even at low doses with less-frequent injections, through the modification of its architecture into a star-shaped GA (sGA). In a sGA, multiple GAs are covalently linked onto a core, which greatly changes their properties such as molecular weight, size, and shape. The spherical sGA is retained longer in the body after intraperitoneal injection, and is more readily internalized by RAW 264.7 macrophage cells and bone marrow-derived dendritic cells than GA. In C57BL/6 mice induced with experimental autoimmune encephalitis, a mouse model for MS, sGA treatment exerts disease amelioration effect that is significantly better than that of GA despite a lower dose and less frequent injection. Moreover, spinal cord pathologies of demyelination and leukocyte infiltration are dramatically less pronounced in the sGA treatment condition compared to the GA treatment condition. Thus, we propose that sGA with a higher-ordered architecture offers an attractive and potentially viable treatment option for MS patients.

Indexed as

Encephalomyelitis, Autoimmune, ExperimentalMultiple SclerosisAnimalsGlatiramer AcetateHumansMiceMice, Inbred C57BLPeptidesGlatiramer AcetatePeptides

Identifiers

PMID32744547
PMCPMC7899152
OpenAlexW3047118562

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.