Identification of Autophagy-Related Targets of Berberine against Non-Small Cell Lung Cancer and Their Correlation with Immune Cell Infiltration By Combining Network Pharmacology, Molecular Docking, and Experimental Verification.

IF 0.8 4区 医学 Q4 IMMUNOLOGY Critical Reviews in Immunology Pub Date : 2023-01-01 DOI:10.1615/CritRevImmunol.2023049923
Liang Xu
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Abstract

Objective: Non-small cell lung cancer (NSCLC) is the most common lung cancer type with high incidence. This study aimed to reveal the anti-NSCLC mechanisms of berberine and identify novel therapeutic targets.

Methods: Berberine-related targets were acquired from SuperPred, SwissTargetPrediction, and GeneCards. NSCLC-re-lated targets were collected from GeneCards and DisGeNET. Differentially expressed genes (DEGs) were identified GEO database, UCSC Xena, and limma. GO and KEGG analyses were performed using clusterProfiler. Autophagy-related genes and transcriptional factors were collected from HADb and KnockTF, respectively. STRING and Cytoscape were used for PPI network analysis. Immune cell infiltration in NSCLC was assessed using CIBERSORT, and its correlation with autophagy-related targets was evaluated. Molecular docking was conducted using PyMOL and AutoDock. qRT-PCR and CCK-8 assay was used for in vitro verification.

Results: Thirty intersecting targets of berberine-related targets, NSCLC-related targets, and DEGs were obtained. GO and KEGG analyses revealed that the intersecting targets were mainly implicated in oxidative stress, focal adhesion, and cell-substrate junction, as well as AGE-RAGE, relaxin, FoxO, and estrogen signaling pathways. Significantly, CAPN1, IKBKB, and SIRT2 were identified as the foremost autophagy-related targets, and 21 corresponding transcriptional factors were obtained. PPI network analysis showed that CAPN1, IKBKB, and SIRT2 interacted with 50 other genes. Fifty immune cell types, such as B cells naive, T cells CD8, T cells CD4 naive, T cells follicular helper, and monocytes, were implicated in NSCLC pathogenesis, and CAPN1, IKBKB, and SIRT2 were related to immune cells. Molecular docking revealed the favorable binding activity of berberine with CAPN1, IKBKB, and SIRT2. In vitro assays showed lower CAPN1, IKBKB, and SIRT2 expression in NSCLC cells than that in normal cells. Notably, berberine inhibited the viability and elevated CAPN1, IKBKB, and SIRT2 expression in NSCLC cells.

Conclusions: Berberine might treat NSCLC mainly by targeting CAPN1, IKBKB, and SIRT2.

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结合网络药理学、分子对接和实验验证,鉴定黄连素对非小细胞肺癌癌症的自噬相关靶点及其与免疫细胞浸润的相关性。
目的:癌症(NSCLC)是癌症最常见、发病率高的类型。本研究旨在揭示黄连素的抗NSCLC机制,并确定新的治疗靶点。方法:从SuperPred、SwissTargetPrediction和GeneCards中获得黄连素相关靶点。从GeneCards和DisGeNET收集NSCLC相关靶点。差异表达基因(DEGs)被鉴定为GEO数据库、UCSC Xena和limma。使用clusterProfiler进行GO和KEGG分析。分别从HADb和KnockTF中收集自噬相关基因和转录因子。STRING和Cytoscape用于PPI网络分析。使用CIBERSORT评估NSCLC中的免疫细胞浸润,并评估其与自噬相关靶点的相关性。使用PyMOL和AutoDock进行分子对接。qRT-PCR和CCK-8法用于体外验证。结果:获得了黄连素相关靶点、NSCLC相关靶点和DEGs的30个交叉靶点。GO和KEGG分析显示,交叉靶点主要涉及氧化应激、局灶性粘附和细胞-基质连接,以及AGE-RAGE、松弛素、FoxO和雌激素信号通路。值得注意的是,CAPN1、IKBKB和SIRT2被确定为最重要的自噬相关靶点,并获得了21个相应的转录因子。PPI网络分析显示,CAPN1、IKBKB和SIRT2与其他50个基因相互作用。50种免疫细胞类型,如B细胞幼稚型、T细胞CD8、T细胞CD4幼稚型、辅助性T细胞和单核细胞,与NSCLC的发病机制有关,CAPN1、IKBKB和SIRT2与免疫细胞有关。分子对接显示黄连素与CAPN1、IKBKB和SIRT2具有良好的结合活性。体外检测显示,NSCLC细胞中CAPN1、IKBKB和SIRT2的表达低于正常细胞。值得注意的是,黄连素抑制NSCLC细胞的生存能力,并升高CAPN1、IKBKB和SIRT2的表达。结论:黄连素可能主要通过靶向CAPN1、IKBKB和SIRT2来治疗NSCLC。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: Immunology covers a broad spectrum of investigations at the genes, molecular, cellular, organ and system levels to reveal defense mechanisms against pathogens as well as protection against tumors and autoimmune diseases. The great advances in immunology in recent years make this field one of the most dynamic and rapidly growing in medical sciences. Critical ReviewsTM in Immunology (CRI) seeks to present a balanced overview of contemporary adaptive and innate immune responses related to autoimmunity, tumor, microbe, transplantation, neuroimmunology, immune regulation and immunotherapy from basic to translational aspects in health and disease. The articles that appear in CRI are mostly obtained by invitations to active investigators. But the journal will also consider proposals from the scientific community. Interested investigators should send their inquiries to the editor before submitting a manuscript.
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