Differentially regulated saliva proteome and metabolome: a way forward for risk-assessment of oral cancer among tobacco abusers.

IF 2.4 4区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Molecular omics Pub Date : 2025-09-03 DOI:10.1039/d5mo00058k

Bolaji Fatai Oyeyemi, Shruti Dabral, Amit Paramaraj, Sandhya Srinivasan, Gagan Deep Jhingan, Dhiraj Kumar, Chintamani, Abhinav Kumar, Néel Sarovar Bhavesh

{"title":"Differentially regulated saliva proteome and metabolome: a way forward for risk-assessment of oral cancer among tobacco abusers.","authors":"Bolaji Fatai Oyeyemi, Shruti Dabral, Amit Paramaraj, Sandhya Srinivasan, Gagan Deep Jhingan, Dhiraj Kumar, Chintamani, Abhinav Kumar, Néel Sarovar Bhavesh","doi":"10.1039/d5mo00058k","DOIUrl":null,"url":null,"abstract":"Oral cancer (OC) is a malignant tumour with high morbidity and mortality. Significant contributory factors include alcohol and tobacco abuse that dysregulate the proteome and metabolome. We assessed saliva as a noninvasive bio-sample to understand the changes in proteome and metabolome in OC, tobacco abusers (TA), and controls. OC, TA, and control samples (n = 22, 21, and 21, respectively) were subjected to LFQ-proteomics and NMR-based metabolomics analyses individually and integrated using systems biology; 292 out of 758 proteins with two or more unique peptides were significantly differently regulated. Functional annotation revealed that differentially expressed proteins are involved in important cellular metabolic processes. PLS-DA in metabolomics separated OC from the control and TA, and K-means clustering of proteomics and metabolomics profiles revealed distinguishing proteins and metabolites in OC, TA, and the control. Integrated analysis revealed convergence on molecules like transketolase (TKTT), transaldolase (TALDO), kallikrein 1 (KLK1), enolase A (ENOA), glucose-6-phosphate isomerase (G6PI), and aldolase A and C (ALDOA and ALDOC). Finally, the characteristic discriminatory features of several clusters between OC, TA, and the control remain valid only among high tobacco abusers. The results reveal metabolites that could serve as early indicators for OC, especially among chewing tobacco abusers, and therefore establish the basis for larger cohort studies to develop them as predictive OC biomarkers.","PeriodicalId":19065,"journal":{"name":"Molecular omics","volume":" ","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular omics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1039/d5mo00058k","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

Oral cancer (OC) is a malignant tumour with high morbidity and mortality. Significant contributory factors include alcohol and tobacco abuse that dysregulate the proteome and metabolome. We assessed saliva as a noninvasive bio-sample to understand the changes in proteome and metabolome in OC, tobacco abusers (TA), and controls. OC, TA, and control samples (n = 22, 21, and 21, respectively) were subjected to LFQ-proteomics and NMR-based metabolomics analyses individually and integrated using systems biology; 292 out of 758 proteins with two or more unique peptides were significantly differently regulated. Functional annotation revealed that differentially expressed proteins are involved in important cellular metabolic processes. PLS-DA in metabolomics separated OC from the control and TA, and K-means clustering of proteomics and metabolomics profiles revealed distinguishing proteins and metabolites in OC, TA, and the control. Integrated analysis revealed convergence on molecules like transketolase (TKTT), transaldolase (TALDO), kallikrein 1 (KLK1), enolase A (ENOA), glucose-6-phosphate isomerase (G6PI), and aldolase A and C (ALDOA and ALDOC). Finally, the characteristic discriminatory features of several clusters between OC, TA, and the control remain valid only among high tobacco abusers. The results reveal metabolites that could serve as early indicators for OC, especially among chewing tobacco abusers, and therefore establish the basis for larger cohort studies to develop them as predictive OC biomarkers.

查看原文本刊更多论文

差异调节唾液蛋白质组和代谢组：烟草滥用者口腔癌风险评估的前进方向。

口腔癌是一种发病率和死亡率都很高的恶性肿瘤。重要的促成因素包括酒精和烟草滥用失调的蛋白质组和代谢组。我们将唾液作为一种非侵入性生物样本进行评估，以了解OC、烟草滥用者（TA）和对照组中蛋白质组和代谢组的变化。OC、TA和对照样本（n = 22、21和21）分别进行lfq -蛋白质组学和基于核磁共振的代谢组学分析，并使用系统生物学进行整合；758个蛋白中有292个具有两个或更多的独特肽，它们受到显著不同的调控。功能注释显示，差异表达蛋白参与重要的细胞代谢过程。代谢组学PLS-DA将OC与对照组和TA分离开来，蛋白质组学和代谢组学图谱的k均值聚类揭示了OC、TA和对照组中不同的蛋白质和代谢物。综合分析发现，在转酮醇酶（TKTT）、转醛醇酶（TALDO）、钾化因子1 （KLK1）、烯醇化酶A （ENOA）、葡萄糖-6-磷酸异构酶（G6PI）、醛醇酶A和醛醇酶C （ALDOA和ALDOC）等分子上存在收敛性。最后，OC、TA和对照之间的几个集群的特征歧视性特征仅在高度烟草滥用者中有效。结果显示，代谢产物可以作为OC的早期指标，特别是咀嚼烟草滥用者，因此为更大规模的队列研究奠定基础，将其作为预测OC的生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Molecular omics Biochemistry, Genetics and Molecular Biology-Biochemistry

CiteScore

5.40

自引率

3.40%

发文量

期刊介绍： Molecular Omics publishes high-quality research from across the -omics sciences. Topics include, but are not limited to: -omics studies to gain mechanistic insight into biological processes – for example, determining the mode of action of a drug or the basis of a particular phenotype, such as drought tolerance -omics studies for clinical applications with validation, such as finding biomarkers for diagnostics or potential new drug targets -omics studies looking at the sub-cellular make-up of cells – for example, the subcellular localisation of certain proteins or post-translational modifications or new imaging techniques -studies presenting new methods and tools to support omics studies, including new spectroscopic/chromatographic techniques, chip-based/array technologies and new classification/data analysis techniques. New methods should be proven and demonstrate an advance in the field. Molecular Omics only accepts articles of high importance and interest that provide significant new insight into important chemical or biological problems. This could be fundamental research that significantly increases understanding or research that demonstrates clear functional benefits. Papers reporting new results that could be routinely predicted, do not show a significant improvement over known research, or are of interest only to the specialist in the area are not suitable for publication in Molecular Omics.