Evidence map›Paper›PMID 41117046›Full record

ReviewAdvanced materials (Deerfield Beach, Fla.)2026

Immunofunctions of Protein and Carbohydrate Assemblies Modulated by Structures Acrossing Scales as Biomaterials.

Yiwei Shi, Long Li, Guosong Chen

Abstract readReview
In one paragraph

Review in Advanced materials (Deerfield Beach, Fla.), 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

3 authors.

Yiwei ShiThe State Key Laboratory of Molecular Engineering of Polymers and Department of Macromolecular Science, Fudan University, Shanghai, 200433, China.
Long LiThe State Key Laboratory of Molecular Engineering of Polymers and Department of Macromolecular Science, Fudan University, Shanghai, 200433, China.
Guosong ChenThe State Key Laboratory of Molecular Engineering of Polymers and Department of Macromolecular Science, Fudan University, Shanghai, 200433, China.ORCID 0000-0001-7089-911X

Funding

Innovation Program of Shanghai Municipal Education Commission 2023ZKZD02National Key Research and Development Program of China 2023YFA0915300National Natural Science Foundation of China 22431002National Natural Science Foundation of China 52125303National Natural Science Foundation of China 52403179National Natural Science Foundation of China 92356305
6 · The paper itself

Abstract

The precise and complex immune activation of biomaterials has been the focus of intensive development and research in the fields of immunotherapy and vaccines. The structural diversity and programmability of biomacromolecules allow them to form highly effective platforms for activating immune responses and modulating multiple processes of immunogenicity. Therefore, many excellent approaches have been developed, leading to a variety of quite practical outcomes. This perspective highlights recent advances in using proteins and carbohydrates, important components involved in immune responses, as building blocks to create artificial biomaterials for immune activation. It summarizes how the structural properties of these biomaterials, ranging from molecular structures to mesoscopic structures, impact their uptake by immune cells and subsequent immune responses. Specifically, the effects of size, shape, and surface structures on inflammatory activation and T cell activation are discussed, followed by insights into their design for immunological applications.

Indexed as

Biocompatible MaterialsCarbohydratesProteinsAnimalsHumansT-LymphocytesBiocompatible MaterialsCarbohydratesProteinsbiomaterialscarbohydratesimmune activationproteinsstructural parameters

Identifiers

PMID41117046
PMCPMC13549282

What OpenQuestion holds

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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 OpenQuestion graph.