CKIP-1 通过使 JAK/STAT3 信号失活,抑制 M2 巨噬细胞极化,从而抑制胃癌的进展。

IF 1.8 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Xuefeng Xu, Zihong Xu, Yaowu Cai, Xintong Chen, Chaoqing Huang
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引用次数: 0

摘要

胃癌(GC)是一种常见的预后不良的恶性肿瘤。酪蛋白激酶 2 互作蛋白-1(CKIP-1)是一种含 PH 结构域的蛋白,与肿瘤发生和巨噬细胞稳态有关。本研究旨在阐明CKIP-1在GC进展中的作用和潜在机制。研究采用 RT-qPCR 技术检测了 CKIP-1 在 GC 肿瘤和癌旁组织中的表达。然后,用 PMA、白细胞介素(IL)-4 和 IL-13 处理人单核细胞系 THP-1 以诱导 M2 极化巨噬细胞。评估了CKIP-1是否过表达的M2极化巨噬细胞中CD206、精氨酸酶-1(Arg-1)和转化生长因子β1(TGFβ1)的表达情况。此外,将 GC 细胞系(MKN45 和 HGC27 细胞)与 CKIP-1 过表达的 M2 极化巨噬细胞共培养,并测定了 GC 细胞的活力、迁移和侵袭。此外,免疫印迹法评估了JAK/STAT3信号相关蛋白的表达,并用STAT3激动剂可立维林处理GC细胞,进行挽救实验,分析GC细胞恶性表型的变化。结果显示,CKIP-1在GC组织和M2极化巨噬细胞中下调。CKIP-1的过表达抑制了M2巨噬细胞的极化,并减少了TGFβ1的分泌。此外,M2 极化巨噬细胞中 CKIP-1 表达的升高抑制了 GC 细胞的活力、迁移和侵袭。此外,CKIP-1 的过表达通过抑制 TGFβ1 水平,使 GC 细胞中的 JAK2/STAT3 信号失活。具体而言,可利韦林治疗可消除 CKIP-1 上调对 GC 细胞恶性表型的影响。总之,CKIP-1通过抑制JAK/STAT3信号通路,抑制M2巨噬细胞极化,从而抑制GC的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CKIP-1 inhibits M2 macrophage polarization to suppress the progression of gastric cancer by inactivating JAK/STAT3 signaling.

Gastric cancer (GC) is a frequently occurring malignancy with poor prognosis. Casein kinase 2 interacting protein-1 (CKIP-1) is a PH domain-containing protein implicated in regulating tumorigenesis and macrophage homeostasis. This study aimed to elucidate the role and potential mechanism of CKIP-1 in the progression of GC. CKIP-1 expression in GC tumor and para-carcinoma tissues was detected using RT-qPCR. Then, human monocyte cell line THP-1 was treated with PMA, interleukin (IL)-4 and IL-13 to induce M2-polarized macrophages. CD206, arginase-1 (Arg-1) and transforming growth factorβ1 (TGFβ1) expression in M2-polarized macrophages with or without CKIP-1 overexpression was evaluated. Moreover, GC cell lines (MKN45 and HGC27 cells) were co-cultured with CKIP-1-overexpressed M2-polarized macrophages, and the viability, migration and invasion of GC cells were measured. Additionally, immunoblotting assessed the expression of JAK/STAT3 signaling-related proteins and STAT3 agonist Colivelin was used to treat GC cells to perform the rescue experiments to analyze the changes of malignant phenotypes of GC cells. Results showed that CKIP-1 was downregulated in GC tissues and M2-polarized macrophages. CKIP-1 overexpression inhibited M2 macrophage polarization and decreased TGFβ1 secretion. Besides, elevated CKIP-1 expression in M2-polarized macrophages inhibited the viability, migration and invasion of GC cells. Furthermore, CKIP-1 overexpression inactivated JAK2/STAT3 signaling in GC cells by inhibiting TGFβ1 level. Specifically, Colivelin treatment abrogated the influences of CKIP-1 upregulation on the malignant phenotypes of GC cells. Collectively, CKIP-1 inhibits M2 macrophage polarization to suppress the progression of GC by inactivating JAK/STAT3 signaling pathway.

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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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