1.Research progress on enhancing osseointegration properties of polyetheretherketone implants through various modification methods.
Shilai LIU ; Xiaoke FENG ; Chunxia CHEN
Journal of Biomedical Engineering 2025;42(2):417-422
This review article summarizes the current modification methods employed to enhance the osseointegration properties of polyetheretherketone (PEEK), a novel biomaterial. Our analysis highlights that strategies such as surface treatment, surface modification, and the incorporation of bioactive composites can markedly improve the bioactivity of PEEK surfaces, thus facilitating their effective integration with bone tissue. However, to ensure widespread application of PEEK in the medical field, particularly in oral implantology, additional experiments and long-term clinical evaluations are required. Looking ahead, future research should concentrate on developing innovative modification techniques and assessment methodologies to further optimize the performance of PEEK implant materials. The ultimate goal is to provide the clinical setting with even more reliable solutions.
Benzophenones
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Ketones/chemistry*
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Polyethylene Glycols/chemistry*
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Osseointegration
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Humans
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Polymers
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Biocompatible Materials/chemistry*
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Surface Properties
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Prostheses and Implants
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Dental Implants
2.Identification of Key Genes for the Ultrahigh Yield of Rice Using Dynamic Cross-tissue Network Analysis
Hu JIHONG ; Zeng TAO ; Xia QIONGMEI ; Huang LIYU ; Zhang YESHENG ; Zhang CHUANCHAO ; Zeng YAN ; Liu HUI ; Zhang SHILAI ; Huang GUANGFU ; Wan WENTING ; Ding YI ; Hu FENGYI ; Yang CONGDANG ; Chen LUONAN ; Wang WEN
Genomics, Proteomics & Bioinformatics 2020;18(3):256-270
Significantly increasing crop yield is a major and worldwide challenge for food supply and security. It is well-known that rice cultivated at Taoyuan in Yunnan of China can produce the highest yield worldwide. Yet, the gene regulatory mechanism underpinning this ultrahigh yield has been a mystery. Here, we systematically collected the transcriptome data for seven key tissues at different developmental stages using rice cultivated both at Taoyuan as the case group and at another regular rice planting place Jinghong as the control group. We identified the top 24 candi-date high-yield genes with their network modules from these well-designed datasets by developing a novel computational systems biology method, i.e., dynamic cross-tissue (DCT) network analysis. We used one of the candidate genes, OsSPL4, whose function was previously unknown, for gene editing experimental validation of the high yield, and confirmed that OsSPL4 significantly affects panicle branching and increases the rice yield. This study, which included extensive field phenotyping, cross-tissue systems biology analyses, and functional validation, uncovered the key genes and gene regulatory networks underpinning the ultrahigh yield of rice. The DCT method could be applied to other plant or animal systems if different phenotypes under various environments with the common genome sequences of the examined sample. DCT can be downloaded from https://github.com/zt-pub/DCT.

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