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钛纳米管通过白细胞介素-17A调节T细胞的免疫表型和细胞因子分泌:生物信息学分析与实验验证

Titanium nanotubes modulate immunophenotyping and cytokine secretion of T cells via IL-17A: a bioinformatic analysis and experimental validation.

作者信息

Yin Jingju, Liao Yunyang, Liu Shaofeng, Che Bangwei, Zhu Hanghang, Yang Bingbing, Shi Bin

机构信息

Department of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Oral Medicine Center, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital, Fujian Medical University, Fuzhou, China.

出版信息

Front Immunol. 2025 Jan 7;15:1381158. doi: 10.3389/fimmu.2024.1381158. eCollection 2024.

DOI:10.3389/fimmu.2024.1381158
PMID:39840051
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11747796/
Abstract

OBJECT

We aim to explore the immunomodulatory properties of T cells on different titanium nanotubes and the key immunological factors involved in this process.

METHODS

Transcriptome data from GEO database of healthy people and healthy implants were used to analyze cell infiltration and factor distribution of adaptive immune using bioinformatics tools. T cells from activated rat were cultured on titanium nanotubes that were prepared by anodization with different diameters (P-0, NT15-30 nm, NT40-100 nm, NT70-200 nm). The proliferation and expressions of the main transcription factors and cytokines of T-cells were detected. Magnetic bead sorting of CD3 T cells and transcriptome sequencing were performed to explore the signaling pathways and key immune factors that may influence the related immune responses.

RESULTS

Bioinformatics analysis showed that healthy peri-implant tissues were enriched by the most of T-cell subtypes. T-cell-mediated adaptive immunological responses involved . On the third day, the NT15 and NT40 groups showed significantly higher pro-proliferative effects than the NT70 group (<0.05). Notably, the NT40 group exhibited the lowest T-bet expression (<0.05) along with the highest levels of , , and (<0.05), followed by the NT15 group. Additionally, the NT40 group demonstrated reduced , , and (<0.05) and increased and IL-10 (<0.05). Meanwhile, the NT15 group had lower expression(>0.05) but higher , and expressions(<0.05). Differential expressed genes (DGEs) of T-cell related to the morphologies of titanium nanotubes were mostly enriched in the IL-17 signaling pathway mediated by IL-17A/F. Gene and protein expressions indicated that the NT40 group had the highest secretion in IL-17A of T cells.

CONCLUSION

Titanium nanotube morphologies in medium (100 nm) and small (30 nm) sizes significantly influence T cell differentiation and immune factor secretion, with T-cell-derived IL-17A likely playing a key regulatory role.

摘要

目的

我们旨在探究T细胞对不同钛纳米管的免疫调节特性以及此过程中涉及的关键免疫因子。

方法

利用来自健康人和健康植入物的GEO数据库的转录组数据,使用生物信息学工具分析适应性免疫的细胞浸润和因子分布。将活化大鼠的T细胞培养在通过不同直径阳极氧化制备的钛纳米管上(P-0、NT15-30纳米、NT40-100纳米、NT70-200纳米)。检测T细胞主要转录因子和细胞因子的增殖及表达情况。进行CD3 T细胞磁珠分选和转录组测序,以探究可能影响相关免疫反应的信号通路和关键免疫因子。

结果

生物信息学分析表明,健康的种植体周围组织富含大多数T细胞亚型。T细胞介导的适应性免疫反应涉及……第三天,NT15和NT40组的促增殖作用明显高于NT70组(<0.05)。值得注意的是,NT40组的T-bet表达最低(<0.05),同时……、……和……水平最高(<0.05),其次是NT15组。此外,NT40组的……、……和……降低(<0.05),而……和IL-10升高(<0.05)。同时,NT15组的……表达较低(>0.05),但……、……和……表达较高(<0.05)。与钛纳米管形态相关的T细胞差异表达基因(DGEs)大多富集在由IL-17A/F介导的IL-17信号通路中。基因和蛋白表达表明,NT40组T细胞的IL-17A分泌最高。

结论

中等尺寸(100纳米)和小尺寸(30纳米)的钛纳米管形态显著影响T细胞分化和免疫因子分泌,T细胞衍生的IL-17A可能起关键调节作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/1aadfc91844d/fimmu-15-1381158-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/e53a1cec8ae3/fimmu-15-1381158-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/3454240d2456/fimmu-15-1381158-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/90e4e7450ef2/fimmu-15-1381158-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/153327e6e0f0/fimmu-15-1381158-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/644bb89db56b/fimmu-15-1381158-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/a6014e815a77/fimmu-15-1381158-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/98cbeb358752/fimmu-15-1381158-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/021f143a2e1c/fimmu-15-1381158-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/1aadfc91844d/fimmu-15-1381158-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/e53a1cec8ae3/fimmu-15-1381158-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/3454240d2456/fimmu-15-1381158-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/90e4e7450ef2/fimmu-15-1381158-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/153327e6e0f0/fimmu-15-1381158-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/644bb89db56b/fimmu-15-1381158-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/a6014e815a77/fimmu-15-1381158-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/98cbeb358752/fimmu-15-1381158-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/021f143a2e1c/fimmu-15-1381158-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e4f/11747796/1aadfc91844d/fimmu-15-1381158-g009.jpg

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