Evidence map›Paper›PMID 32519501›Full record

ReviewAdvanced healthcare materials2020

Nano and Microparticle Emerging Strategies for Treatment of Autoimmune Diseases: Multiple Sclerosis and Type 1 Diabetes.

Alexander J Kwiatkowski, Joshua M Stewart, Jonathan J Cho, Dorina Avram, Benjamin G Keselowsky

Open access · greenAbstract readReview
In one paragraph

Review in Advanced healthcare materials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Epitope-based precision immunotherapy of Type 1 diabetes.Human vaccines & immunotherapeutics · 2023
    Article
  5. Article
  6. A combination microparticle strategy for achieving antigen-specific tolerance.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Treatment with an antigen-specific dual microparticle system reverses advanced multiple sclerosis in mice.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  8. Preclinical evaluation of a precision medicine approach to DNA vaccination in type 1 diabetes.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. An Overview of Engineered Hydrogel-Based Biomaterials for ImprovedFrontiers in bioengineering and biotechnology · 2021
    Review
  14. Review
  15. 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

5 authors at 2 institutions in 1 country.

Alexander J KwiatkowskiJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32611, USA.
Joshua M StewartJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32611, USA.
Jonathan J ChoDepartment of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL, 32610, USA.
Dorina AvramDepartment of Anatomy and Cell Biology, College of Medicine, University of Florida, Gainesville, FL, 32610, USA.
Benjamin G KeselowskyJ. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL, 32611, USA.ORCID 0000-0001-6474-7769
University of Florida · USUniversity of Florida Health · US

Funding

Tolerogenic dual microparticle system for treatment of multiple sclerosisR01AI133623 · NIAID · UNIVERSITY OF FLORIDA · PI AVRAM, DORINA, KESELOWSKY, BENJAMIN GEORGE · 2017 to 2021
$2.6M
Tissue-Targeted Enzyme for Localized Tryptophan Catabolism to Direct Subcutaneous and Oral Mucosal Inflammatory ResponsesR01DE027301 · NIDCR · UNIVERSITY OF FLORIDA · PI KESELOWSKY, BENJAMIN GEORGE · 2017 to 2020
$2.0M
Interdisciplinary Graduate Program in Type 1 Diabetes and Biomedical EngineeringT32DK108736 · NIDDK · UNIVERSITY OF FLORIDA · PI MARK A. ATKINSON, Benjamin George Keselowsky · 2017 to 2026
$1.9M
NIAID NIH HHS R01 AI133623NIDCR NIH HHS R01 DE027301NIDDK NIH HHS T32 DK108736
6 · The paper itself

Abstract

Autoimmune diseases affect 10% of the world's population, and 1 in 200 people worldwide suffer from either multiple sclerosis (MS) or type 1 diabetes (T1D). While the targeted organ systems are different, MS and T1D share similarities in terms of autoreactive immune cells playing a critical role in pathogenesis. Both diseases can be managed only symptomatically without curative remission, and treatment options are limited and non-specific. Most current therapies cause some degree of systemic immune suppression, leaving the patients susceptible to opportunistic infections and other complications. Thus, there is considerable interest in the development of immunotherapies not associated with generalized immune suppression for these diseases. This review presents current and preclinical strategies for MS and T1D treatment, emphasizing those aimed to modulate the immune response, including the most recent strategies for tolerance induction. A central focus is on the emerging approaches using nano- and microparticle platforms, their evolution as immunotherapeutic carriers, including those incorporating specific antigens to induce tolerance and reduce unwanted generalized immune suppression.

Indexed as

Autoimmune DiseasesDiabetes Mellitus, Type 1Multiple SclerosisHumansImmune ToleranceImmunotherapydrug deliveryexperimental autoimmune encephalomyelitisimmune engineeringimmune modulationimmunotherapymicroparticlesmultiple sclerosisnanoparticlestype 1 diabetes

Identifiers

PMID32519501
PMCPMC7588284
OpenAlexW3017909061

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.