Evidence map›Paper›PMID 41609249›Full record

ReviewChemical reviews2026

Functionally Graded Surfaces and Materials: From Fabrication to Biomedical Applications.

Min Hao, Yidan Chen, Yuxuan Meng, Emily Yan, Jichuan Qiu, Younan Xia

Abstract readReview
In one paragraph

Review in Chemical reviews, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Min HaoThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States.ORCID 0009-0006-3517-3392
Yidan ChenSchool of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Yuxuan MengSchool of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.
Emily YanThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States.
Jichuan QiuState Key Laboratory of Crystal Materials, Shandong University, Jinan 250100, China.ORCID 0000-0002-9993-8220
Younan XiaThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia 30332, United States.ORCID 0000-0003-2431-7048

Funding

Biomimetic approaches for enthesis tissue engineeringR01AR080924 · NIAMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Stavros Thomopoulos, YOUNAN XIA · 2023 to 2026
$1.9M
Hierarchically-Structured Conduits with Programmed Release of Neurotrophic Factors for Repairing Large Defects in Thick NervesR01NS126183 · NINDS · JOHNS HOPKINS UNIVERSITY · PI YOUNAN XIA · 2023 to 2026
$1.6M
NIAMS NIH HHS R01 AR080924NINDS NIH HHS R01 NS126183
6 · The paper itself

Abstract

Functionally graded surfaces and materials, featuring spatial variations in terms of composition, structure, and other properties across distance, have emerged as powerful platforms for mimicking native tissue architectures and enabling a wide range of biomedical applications. This review aims to provide a comprehensive overview of their fabrication methods and biomedical applications. We begin by introducing the concept of gradients and their inherent biological relevance in nature. With a distinct focus on either surfaces or materials, we then discuss the fabrication methods and characterization techniques capable of controlling the graded profiles. Importantly, representative examples are provided to highlight how engineered gradients regulate specific cellular responses and functionalities in biomedical contexts. Despite significant progress, challenges remain in translating laboratory-scale fabrication to clinical use, such as ensuring good reproducibility and scalability. At the end, we discuss how computational modeling and artificial intelligence offer new opportunities to address these challenges. We hope this review provides a framework for advancing the development of next-generation functionally graded surfaces and materials toward diverse biomedical applications.

Indexed as

Biocompatible MaterialsAnimalsArtificial IntelligenceHumansSurface PropertiesTissue EngineeringBiocompatible Materials

Identifiers

PMID41609249
PMCPMC12903761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.