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机器学习与4D-LFQ定量蛋白质组学分析探索肾结石形成的分子机制。

Machine learning and 4D-LFQ quantitative proteomic analysis explore the molecular mechanism of kidney stone formation.

作者信息

He Ziqi, Zhou Jiawei, Dong Caitong, Song Chao, Liao Wenbiao, Xiong Yunhe, Yang Sixing

机构信息

Department of Urology, Renmin Hospital of Wuhan University, Wuhan, 430060, Hubei Province, People's Republic of China.

出版信息

Heliyon. 2024 Jul 10;10(14):e34405. doi: 10.1016/j.heliyon.2024.e34405. eCollection 2024 Jul 30.

Abstract

BACKGROUND

Nephrolithiasis, a common and chronic urological condition, exerts significant pressure on both the general public and society as a whole. The precise mechanisms of nephrolith formation remain inadequately comprehended. Nevertheless, the utilization of proteomics methods has not been employed to examine the development of renal calculi in order to efficiently hinder and manage the creation and reappearance of nephrolith. Nowadays, with the rapid development of proteomics techniques, more efficient and more accurate proteomics technique is utilized to uncover the mechanisms underlying diseases. The objective of this study was to investigate the possible alterations of HK-2 cells when exposed to varying amounts of calcium oxalate (CaOx). The aim was to understand the precise development of stone formation and recurrence, in order to find effective preventive and treatment methods.

METHODS

To provide a complete view of the proteins involved in the development of nephrolithiasis, we utilized an innovative proteomics method called 4D-LFQ proteomic quantitative techniques. HK-2 cells were selected as our experimental subjects. Three groups (n = 3) of HK-2 cells were treated with intervention solutions containing 0 (negative control, NC), 1 mM, and 2 mM CaOx, respectively. For the proteins that showed differential expression, various analyses were conducted including examination of Gene Ontology (GO), Clusters of Orthologous Groups of proteins (KOG), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, enrichment analysis of protein domains, and hierarchical clustering analysis. The STRING database was used to identify the interaction network of the chosen proteins. Candidate proteins were validated using parallel reaction monitoring (PRM) in the end.

RESULTS

All three groups verified the repeatability of samples. According to the results of 4D-LFQ proteomic quantitative analysis, there were 120, 262, and 81 differentially expressed proteins (DEPs) in the 1 mM-VS-NC, 2 mM-VS-NC, and 2 mM-VS-1mM conditions, respectively. According to GO annotation, the functional enrichment analysis indicates that the differentially expressed proteins (DEPs) were notably enriched in promoting cell migration and the extracellular matrix, among other functions. Analysis of enrichment, based on the KEGG pathway, revealed significant enrichment of DEPs in complement and coagulation cascades, as well as in ECM-receptor (extracellular matrix-receptor) interaction and other related pathways. 14 DEPs of great interest were selected as candidate proteins, including FN1, TFRC, ITGA3, FBN1, HYOU1, SPP1, HSPA5, COL6A1, MANF, HIP1R, JUP, AXL, CTNNB1 and DSG2.The data from PRM demonstrated the variation trend of 14 DEPs was identical as 4D-LFQ proteomic quantitative analysis.

CONCLUSION

Proteomics studies of CaOx-induced HK-2 cells using 4D-LFQ proteomic quantitative analysis and PRM may help to provide crucial potential target proteins and signaling pathways for elucidating the mechanism of nephrolithiasis and better treating nephrolithiasis.

摘要

背景

肾结石是一种常见的慢性泌尿系统疾病,给公众和整个社会带来了巨大压力。肾结石形成的确切机制仍未得到充分理解。然而,蛋白质组学方法尚未用于研究肾结石的发展,以有效预防和控制肾结石的形成与复发。如今,随着蛋白质组学技术的快速发展,更高效、更准确的蛋白质组学技术被用于揭示疾病背后的机制。本研究的目的是调查HK-2细胞在暴露于不同量草酸钙(CaOx)时可能发生的变化。目的是了解结石形成和复发的确切过程,以便找到有效的预防和治疗方法。

方法

为全面了解参与肾结石形成的蛋白质,我们采用了一种创新的蛋白质组学方法,即4D-LFQ蛋白质组定量技术。选择HK-2细胞作为实验对象。将三组(n = 3)HK-2细胞分别用含有0(阴性对照,NC)、1 mM和2 mM CaOx的干预溶液处理。对于差异表达的蛋白质,进行了各种分析,包括基因本体论(GO)、蛋白质直系同源簇(KOG)、京都基因与基因组百科全书(KEGG)途径分析、蛋白质结构域富集分析和层次聚类分析。使用STRING数据库识别所选蛋白质的相互作用网络。最后使用平行反应监测(PRM)对候选蛋白质进行验证。

结果

所有三组均验证了样本的可重复性。根据4D-LFQ蛋白质组定量分析结果,在1 mM-VS-NC、2 mM-VS-NC和2 mM-VS-1 mM条件下,分别有120、262和81个差异表达蛋白(DEP)。根据GO注释,功能富集分析表明,差异表达蛋白在促进细胞迁移和细胞外基质等功能方面显著富集。基于KEGG途径的富集分析显示,DEP在补体和凝血级联以及细胞外基质-受体(ECM-受体)相互作用和其他相关途径中显著富集。选择了14个极具研究价值的DEP作为候选蛋白质,包括FN1、TFRC、ITGA3、FBN1、HYOU1、SPP1、HSPA5、COL6A1、MANF、HIP1R、JUP、AXL、CTNNB1和DSG2。PRM数据表明,14个DEP的变化趋势与4D-LFQ蛋白质组定量分析一致。

结论

使用4D-LFQ蛋白质组定量分析和PRM对CaOx诱导的HK-2细胞进行蛋白质组学研究,可能有助于为阐明肾结石的机制和更好地治疗肾结石提供关键的潜在靶蛋白和信号通路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f38c/11305192/fb4fb0d6dbcd/gr1.jpg

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