ArticleJournal of biomedical materials research. Part A2023
Biomaterials-based nanoparticles conjugated to regulatory T cells provide a modular system for localized delivery of pharmacotherapeutic agents.
Article in Journal of biomedical materials research. Part A, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 14 citations in OpenAlex.
- Nano-Engineered Dressings for Infected Diabetic Wounds: Synergy of Catalysis, Delivery, and Fluid Management.International journal of nanomedicine · 2026Review
- Advances in nanomaterial-based delivery systems for inducing transplantation tolerance.Frontiers in immunology · 2026Review
- Vinegar-processed frankincense extracts alleviate colorectal cancer by butyric acid mediating M1 tumor-associated macrophage pyroptosis.Chinese medicine · 2025Article
- Regulatory T cells in homeostasis and disease: molecular mechanisms and therapeutic potential.Signal transduction and targeted therapy · 2025Review
- CD2 targeted nanoparticles containing IL-2 mimic fetal-maternal tolerance of pregnancy by inducing synergistic TGF-β-producing NK cells and Tregs.Frontiers in immunology · 2025Article
- Harnessing cellular therapeutics for type 1 diabetes mellitus: progress, challenges, and the road ahead.Nature reviews. Endocrinology · 2025Review
- Antimicrobial hydrogel foam dressing with controlled release of gallium maltolate for infection control in chronic wounds.Bioactive materials · 2024Article
- Biomaterial-enhanced treg cell immunotherapy: A promising approach for transplant medicine and autoimmune disease treatment.Bioactive materials · 2024Review
- Engineering antigen-presenting cells for immunotherapy of autoimmunity.Advanced drug delivery reviews · 2024Review
- Bridging the gender gap in autoimmunity with T-cell-targeted biomaterials.Current opinion in biotechnology · 2024Review
- Biomaterials-based nanoparticles conjugated to regulatory T cells provide a modular system for localized delivery of pharmacotherapeutic agents.Journal of biomedical materials research. Part A · 2023Article
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
Type 1 diabetes (T1D) presents with two therapeutic challenges: the need to correct underlying autoimmunity and restore β-cell mass. We harnessed the unique capacity of regulatory T cells (Tregs) and the T cell receptor (TCR) to direct tolerance induction along with tissue-localized delivery of therapeutic agents to restore endogenous β-cell function. Specifically, we designed a combinatorial therapy involving biomaterials-based poly(lactic-co-glycolic acid) nanoparticles co-loaded with the Treg growth factor, IL-2, and the β-cell regenerative agent, harmine (a tyrosine-regulated kinase 1A [DYRK1A] inhibitor), conjugated to the surface of Tregs. We observed continuous elution of IL-2 and harmine from nanoparticles for at least 7 days in vitro. When conjugated to primary human Tregs, IL-2 nanoparticles provided sufficient IL-2 receptor signaling to support STAT5 phosphorylation for sustained phenotypic stability and viability in culture. Inclusion of poly-L-lysine (PLL) during nanoparticle-cell coupling dramatically increased conjugation efficiency, providing sufficient IL-2 to support in vitro proliferation of IL-2-dependent CTLL-2 cells and primary murine Tregs. In 12-week-old female non-obese diabetic mice, adoptive transfer of IL-2/harmine nanoparticle-conjugated NOD.BDC2.5 Tregs, which express an islet antigen-specific TCR, significantly prevented diabetes demonstrating preserved in vivo viability. These data provide the preclinical basis to develop a biomaterials-optimized cellular therapy to restore immune tolerance and promote β-cell proliferation in T1D through receptor-targeted drug delivery within pancreatic islets.
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Registered trials
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.