唾液蛋白质组学强调了法医和医学研究中潜在的bmi相关生物标志物。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Shunyi Tian, Qiyan Wang, Xiaolan Huang, Shengjie Zhu, Hongling Zhang, Zheng Ren, Yubo Liu, Meiqing Yang, Jiang Huang, Xiaoye Jin
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引用次数: 0

摘要

肥胖和体重不足作为非传染性疾病对人类健康构成重大威胁。此外,身体形状(如肥胖或消瘦)是法医实践中的重要调查线索。身体质量指数(BMI)是反映个人体型的常用指标。然而,目前还缺乏快速、简单、有效的方法来识别不同的BMI个体。这项研究旨在深入研究唾液蛋白和身体质量指数之间的关系。通过四维数据独立获取定量蛋白质组学分析,共鉴定出418个差异表达蛋白(DEPs)。京都基因和基因组百科全书分析显示,dep主要参与氧化磷酸化、内质网蛋白质加工和胆固醇代谢途径。最后,我们确定了17个与BMI相关的蛋白质标记。基于这17个标记建立了两个机器学习模型(随机森林和支持向量机)。所获得的结果证明了这17种蛋白质标记物在准确区分不同BMI个体方面的功效。综上所述,我们的研究不仅提供了潜在的唾液蛋白标记物来识别肥胖和体重过轻的个体,也为法医案件调查中推断唾液相关样本的BMI提供了一种新的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Saliva Proteomics Highlights Potential BMI-Related Biomarkers for Forensic and Medical Research

Obesity and underweight pose significant threats to human health as non-communicable diseases. In addition, body shape (like obesity or emaciation) is an important investigative clue in forensic practice. Body mass index (BMI) is a common indicator to reflect body shape of an individual. However, there is a lack of rapid, simple, and effective methods for identifying different BMI individuals. This research aimed to delve into the correlations between salivary proteins and BMI. A total of 418 differential expression proteins (DEPs) were identified through four-dimensional data independent acquisition quantitative proteomics analysis. The Kyoto Encyclopedia of Genes and Genomes analysis revealed that DEPs were primarily involved in oxidative phosphorylation, protein processing in the endoplasmic reticulum, and cholesterol metabolism pathways. Finally, we identified 17 protein markers that were correlated with BMI. Two machine-learning models (random forest and support vector machine) were also built based on these 17 markers. Obtained results demonstrated the efficacy of these 17 protein markers in accurately distinguishing different BMI individuals. In conclusion, our study not only provides potential salivary protein markers for identifying obesity and underweight individuals, it could also present a novel method for inferring BMI of saliva-related samples in forensic case investigation.

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来源期刊
ELECTROPHORESIS
ELECTROPHORESIS 生物-分析化学
CiteScore
6.30
自引率
13.80%
发文量
244
审稿时长
1.9 months
期刊介绍: ELECTROPHORESIS is an international journal that publishes original manuscripts on all aspects of electrophoresis, and liquid phase separations (e.g., HPLC, micro- and nano-LC, UHPLC, micro- and nano-fluidics, liquid-phase micro-extractions, etc.). Topics include new or improved analytical and preparative methods, sample preparation, development of theory, and innovative applications of electrophoretic and liquid phase separations methods in the study of nucleic acids, proteins, carbohydrates natural products, pharmaceuticals, food analysis, environmental species and other compounds of importance to the life sciences. Papers in the areas of microfluidics and proteomics, which are not limited to electrophoresis-based methods, will also be accepted for publication. Contributions focused on hyphenated and omics techniques are also of interest. Proteomics is within the scope, if related to its fundamentals and new technical approaches. Proteomics applications are only considered in particular cases. Papers describing the application of standard electrophoretic methods will not be considered. Papers on nanoanalysis intended for publication in ELECTROPHORESIS should focus on one or more of the following topics: • Nanoscale electrokinetics and phenomena related to electric double layer and/or confinement in nano-sized geometry • Single cell and subcellular analysis • Nanosensors and ultrasensitive detection aspects (e.g., involving quantum dots, "nanoelectrodes" or nanospray MS) • Nanoscale/nanopore DNA sequencing (next generation sequencing) • Micro- and nanoscale sample preparation • Nanoparticles and cells analyses by dielectrophoresis • Separation-based analysis using nanoparticles, nanotubes and nanowires.
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