Evidence map›Paper›PMID 39206299›Full record

ReviewBioactive materials2024

Adaptive immunity of materials: Implications for tissue healing and regeneration.

Jung-Hwan Lee, Seong-Jin Shin, Jun Hee Lee, Jonathan C Knowles, Hae-Hyoung Lee, Hae-Won Kim

Abstract readReview
In one paragraph

Review in Bioactive materials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  19. 3D Bioprinting Strategies in Autoimmune Disease Models.International journal of molecular sciences · 2025
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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.

Jung-Hwan LeeInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea.
Seong-Jin ShinInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea.
Jun Hee LeeInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea.
Jonathan C KnowlesInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea.
Hae-Hyoung LeeInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea.
Hae-Won KimInstitute of Tissue Regeneration Engineering (ITREN), Dankook University, Cheonan 31116, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent cumulative findings signify the adaptive immunity of materials as a key agenda in tissue healing that can improve regenerative events and outcomes. Modulating immune responses, mainly the recruitment and functions of T and B cells and their further interplay with innate immune cells (e.g., dendritic cells, macrophages) can be orchestrated by materials. For instance, decellularized matrices have been shown to promote muscle healing by inducing T helper 2 (Th2) cell immunity, while synthetic biopolymers exhibit differential effects on B cell responses and fibrosis compared decellularized matrices. We discuss the recent findings on how implantable materials instruct the adaptive immune events and the subsequent tissue healing process. In particular, we dissect the materials' physicochemical properties (shape, size, topology, degradation, rigidity, and matrix dynamic mechanics) to demonstrate the relations of these parameters with the adaptive immune responses

Indexed as

Adaptive immunityImmune cell interplayMaterials interactionsPhysicochemical propertiesTissue healing

Identifiers

PMID39206299
PMCPMC11350271

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.