Evidence map›Paper›PMID 34145249›Full record

ArticleNature communications2021

High-throughput screening and rational design of biofunctionalized surfaces with optimized biocompatibility and antimicrobial activity.

Zhou Fang, Junjian Chen, Ye Zhu, Guansong Hu, Haoqian Xin, Kunzhong Guo, Qingtao Li, Liangxu Xie, Lin Wang, Xuetao Shi and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
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  3. Validation ofACS central science · 2026
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  12. Special Issue: "Rational Design and Synthesis of Bioactive Molecules".International journal of molecular sciences · 2024
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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

12 authors at 5 institutions in 2 countries.

Zhou Fang *National Engineering Research Center for Tissue Restoration and Reconstruction, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China.
Junjian Chen *School of Materials Science & Engineering, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China.
Ye ZhuDepartment of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, Norman, OK, USA.
Guansong HuSchool of Materials Science & Engineering, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China.
Haoqian XinNational Engineering Research Center for Tissue Restoration and Reconstruction, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China.
Kunzhong GuoNational Engineering Research Center for Tissue Restoration and Reconstruction, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China.
Qingtao LiNational Engineering Research Center for Tissue Restoration and Reconstruction, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China.
Liangxu XieInstitute of Bioinformatics and Medical Engineering, Jiangsu University of Technology, Changzhou, China.ORCID 0000-0002-0609-5333
Lin Wang *National Engineering Research Center for Tissue Restoration and Reconstruction, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China. wanglin3@scut.edu.cn.ORCID 0000-0002-1880-1143
Xuetao ShiSchool of Biomedical Science and Engineering, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China. shxt@scut.edu.cn.
Yingjun WangSchool of Materials Science & Engineering, Higher Education Mega Center, South China University of Technology, Panyu, Guangzhou, China. imwangyj@scut.edu.cn.
Chuanbin MaoDepartment of Chemistry and Biochemistry, Stephenson Life Sciences Research Center, University of Oklahoma, Norman, OK, USA. maophage@gmail.com.ORCID 0000-0002-8142-3659
South China University of Technology · CNGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CNJiangsu University of Technology · CNUniversity of Oklahoma · USZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peptides are widely used for surface modification to develop improved implants, such as cell adhesion RGD peptide and antimicrobial peptide (AMP). However, it is a daunting challenge to identify an optimized condition with the two peptides showing their intended activities and the parameters for reaching such a condition. Herein, we develop a high-throughput strategy, preparing titanium (Ti) surfaces with a gradient in peptide density by click reaction as a platform, to screen the positions with desired functions. Such positions are corresponding to optimized molecular parameters (peptide densities/ratios) and associated preparation parameters (reaction times/reactant concentrations). These parameters are then extracted to prepare nongradient mono- and dual-peptide functionalized Ti surfaces with desired biocompatibility or/and antimicrobial activity in vitro and in vivo. We also demonstrate this strategy could be extended to other materials. Here, we show that the high-throughput versatile strategy holds great promise for rational design and preparation of functional biomaterial surfaces.

Indexed as

AnimalsCell AdhesionCells, CulturedCoated Materials, BiocompatibleHigh-Throughput Screening AssaysMiceProstheses and ImplantsRabbitsStaphylococcus aureusSurface PropertiesTitaniumCoated Materials, BiocompatibleTitanium

Identifiers

PMID34145249
PMCPMC8213795
OpenAlexW3171270461

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.