Evidence map›Paper›PMID 36417578›Full record

ReviewAdvanced healthcare materials2023

Tissue-Targeted Drug Delivery Strategies to Promote Antigen-Specific Immune Tolerance.

Yuan Rui, Haleigh B Eppler, Alexis A Yanes, Christopher M Jewell

Open access · hybridAbstract readReview
In one paragraph

Review in Advanced healthcare materials, 2023. 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
1.4field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Local control of T cell fate in lymph nodes safely and durably reverses myelin-driven autoimmunity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Review
  7. Emerging strategies for nanomedicine in autoimmunity.Advanced drug delivery reviews · 2024
    Review
  8. Exploiting Unique Features of Microneedles to Modulate Immunity.Advanced materials (Deerfield Beach, Fla.) · 2023
    Review
  9. Review
  10. 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

4 authors at 2 institutions in 1 country.

Yuan RuiFischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.
Haleigh B EpplerFischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.
Alexis A YanesFischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.
Christopher M JewellFischell Department of Bioengineering, University of Maryland, College Park, MD, 20742, USA.ORCID 0000-0002-6668-6928
University of Maryland, College Park · USUniversity of Maryland, Baltimore · US

Funding

Defining the induction and maintenance of myelin-specific tolerance in T cells and B cells using local lymph node depotsR01AI169686 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI Christopher M Jewell · 2022 to 2026
$2.8M
Improving multiple sclerosis patient quality of life using microneedle patches to simplify delivery of MS drugsR01AI144667 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI JEWELL, CHRISTOPHER M · 2019 to 2022
$1.6M
Programming immune function through modular assembly of polyionic immune signalsR01EB027143 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI JEWELL, CHRISTOPHER M · 2019 to 2022
$1.6M
Harnessing biomaterials to study the link between local lymph node function and systemic toleranceR01EB026896 · NIBIB · UNIV OF MARYLAND, COLLEGE PARK · PI JEWELL, CHRISTOPHER M · 2018 to 2021
$1.5M
Tunable Assembly of Regulatory Immune Signals to Promote Myelin-specific ToleranceI01BX003690 · VA · BALTIMORE VA MEDICAL CENTER · PI Christopher M Jewell · 2017 to 2026
–
BLRD VA I01 BX003690NIAID NIH HHS R01 AI144667NIAID NIH HHS R01 AI169686NIBIB NIH HHS R01 EB026896NIBIB NIH HHS R01 EB027143
6 · The paper itself

Abstract

During autoimmunity or organ transplant rejection, the immune system attacks host or transplanted tissue, causing debilitating inflammation for millions of patients. There is no cure for most of these diseases. Further, available therapies modulate inflammation through nonspecific pathways, reducing symptoms but also compromising patients' ability to mount healthy immune responses. Recent preclinical advances to regulate immune dysfunction with vaccine-like antigen specificity reveal exciting opportunities to address the root cause of autoimmune diseases and transplant rejection. Several of these therapies are currently undergoing clinical trials, underscoring the promise of antigen-specific tolerance. Achieving antigen-specific tolerance requires precision and often combinatorial delivery of antigen, cytokines, small molecule drugs, and other immunomodulators. This can be facilitated by biomaterial technologies, which can be engineered to orient and display immunological cues, protect against degradation, and selectively deliver signals to specific tissues or cell populations. In this review, some key immune cell populations involved in autoimmunity and healthy immune tolerance are described. Opportunities for drug delivery to immunological organs are discussed, where specialized tissue-resident immune cells can be programmed to respond in unique ways toward antigens. Finally, cell- and biomaterial-based therapies to induce antigen-specific immune tolerance that are currently undergoing clinical trials are highlighted.

Indexed as

AntigensAutoimmune DiseasesBiocompatible MaterialsHumansImmune ToleranceInflammationAntigensBiocompatible Materialsautoimmunitybiomaterialsdrug deliveryimmune toleranceimmunotherapynanoparticles and microparticles

Identifiers

PMID36417578
PMCPMC9992113
OpenAlexW4309928732

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.