Evidence map›Paper›PMID 41537527›Full record

ArticleACS applied materials & interfaces2026

Site- and Size-Controlled PEGylation Modulates Biointerfaces and Immunoregulatory Functions of Bifunctional Peptides in an Autoimmune Disease Model.

Su Jeong Song, Andrea Lucia Villela Nava, Jin Xie, Xiaodi Li, Teruna J Siahaan, Hyunjoon Kim

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Su Jeong SongDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.ORCID 0009-0005-1448-6448
Andrea Lucia Villela NavaDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.ORCID 0009-0008-4299-6703
Jin XieDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.
Xiaodi LiDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.
Teruna J SiahaanDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.ORCID 0000-0001-7250-0627
Hyunjoon KimDepartment of Pharmaceutical Chemistry, University of Kansas, Lawrence, Kansas 66047, United States.ORCID 0000-0002-9481-3218

Funding

Synthetic Chemical Biology CoreP20GM113117 · NIGMS · UNIVERSITY OF KANSAS LAWRENCE · PI OROZCO, ROBIN C. · 2016 to 2025
$23.9M
NIGMS NIH HHS P20 GM113117
6 · The paper itself

Abstract

Autoimmune diseases arise from dysregulated autoreactive T cell activation, and current therapies rely on broad immunosuppression that predisposes patients to infection and malignancy. Antigen-specific strategies such as bifunctional peptide inhibitors (BPIs), which couple an antigenic epitope with an ICAM-1-binding sequence to block costimulation, offer promise but remain limited by rapid degradation and insufficient in vivo efficacy. Here, we report a biointerface-engineering strategy based on site- and size-controlled PEGylation to tune the structural presentation and immunomodulatory behavior of BPIs. By systematically varying PEGylation position (N-terminal vs internal spacer) and chain length (1-10 kDa), we identified the spacer-conjugated 5 kDa PEG-BPI conjugate (S-5k) as the optimal configuration balancing bioactivity, dispersion, and immune regulation. The S-5k conjugate demonstrated superior dendritic cell uptake, downregulation of costimulatory markers, and induction of regulatory immune phenotypes both in vitro and in vivo. In the Experimental Autoimmune Encephalomyelitis (EAE) mouse model, treatment with S-5k significantly ameliorated clinical symptoms and promoted immunosuppressive populations, including Foxp3

Indexed as

Encephalomyelitis, Autoimmune, ExperimentalPeptidesPolyethylene GlycolsAnimalsDendritic CellsFemaleHumansMiceMice, Inbred C57BLPeptidesPolyethylene Glycolsautoimmune diseasebifunctional peptide inhibitor (BPI)experimental autoimmune encephalomyelitis (EAE)immunomodulationPEGylated peptidesite-specific PEGylation

Identifiers

PMID41537527
PMCPMC12962187

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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.