Evidence map›Paper›PMID 42444591›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Self-Assembly of Antigenic Peptide Nanofibrils Templates the Growth of Silica Nanoparticles for Nanovaccines.

Xuecheng Yang, Min Li, Zhiying Yao, Yu Hu, Zhili Wang, Wendi Shi, Bingbing Sun

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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

7 authors.

Xuecheng YangSchool of Chemical Engineering, Dalian University of Technology, Dalian, China.
Min LiSchool of Chemical Engineering, Dalian University of Technology, Dalian, China.
Zhiying YaoSchool of Chemical Engineering, Dalian University of Technology, Dalian, China.
Yu HuSchool of Chemical Engineering, Dalian University of Technology, Dalian, China.
Zhili WangSchool of Chemical Engineering, Dalian University of Technology, Dalian, China.
Wendi ShiSchool of Chemical Engineering, Dalian University of Technology, Dalian, China.
Bingbing SunSchool of Chemical Engineering, Dalian University of Technology, Dalian, China.ORCID https://orcid.org/0000-0002-5444-5078

Funding

National Key Research and Development Program of China 2022YFC2304305National Key Research and Development Program of China 2025YFC2311603National Natural Science Foundation of China U22A20455
6 · The paper itself

Abstract

The low immunogenicity of peptide vaccines remains a critical challenge in immunotherapy. While peptide nanofibrils can function as self-delivery systems to activate antigen-presenting cells (APCs), most existing designs rely on complex covalent conjugation to β-sheet-forming motifs. Moreover, the diverse surface properties of various antigenic peptides complicate the rational selection of appropriate adjuvants. Herein, we develop a nanovaccine platform in which antigenic peptides self-assemble into nanofibrils without the need for exogenous β-sheet-forming sequences. Silica nanoparticles (SiO

Indexed as

Alzheimer's diseasehuman papillomaviruspeptide vaccinesself‐assemblysilicavaccine adjuvants

Identifiers

PMID42444591
PMCPMC13366373

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.