Recent advances in proteomic-based diagnostics of cystic fibrosis.

IF 3.8 3区生物学 Q1 BIOCHEMICAL RESEARCH METHODS Expert Review of Proteomics Pub Date : 2023-07-01 Epub Date: 2023-10-16 DOI:10.1080/14789450.2023.2258282

Refat M Nimer, Anas M Abdel Rahman

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Abstract

Introduction: Cystic fibrosis (CF) is a genetic disease characterized by thick and sticky mucus accumulation, which may harm numerous internal organs. Various variables such as gene modifiers, environmental factors, age of diagnosis, and CF transmembrane conductance regulator (CFTR) gene mutations influence phenotypic disease diversity. Biomarkers that are based on genomic information may not accurately represent the underlying mechanism of the disease as well as its lethal complications. Therefore, recent advancements in mass spectrometry (MS)-based proteomics may provide deep insights into CF mechanisms and cellular functions by examining alterations in the protein expression patterns from various samples of individuals with CF.

Areas covered: We present current developments in MS-based proteomics, its application, and findings in CF. In addition, the future roles of proteomics in finding diagnostic and prognostic novel biomarkers.

Expert opinion: Despite significant advances in MS-based proteomics, extensive research in a large cohort for identifying and validating diagnostic, prognostic, predictive, and therapeutic biomarkers for CF disease is highly needed.

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囊性纤维化基于蛋白质组学诊断的最新进展。

简介：囊性纤维化（CF）是一种遗传性疾病，其特征是粘液积聚粘稠，可损害许多内脏器官。各种变量，如基因修饰因子、环境因素、诊断年龄和CF跨膜电导调节因子（CFTR）基因突变，会影响表型疾病的多样性。基于基因组信息的生物标志物可能无法准确地代表该疾病的潜在机制及其致命并发症。因此，基于质谱（MS）的蛋白质组学的最新进展可能通过检测CF患者各种样本的蛋白质表达模式的变化，对CF的机制和细胞功能提供深入的见解。涵盖的领域：我们介绍了基于质谱的蛋白质组的最新发展、应用和CF的发现。此外，蛋白质组学在寻找诊断和预后新生物标志物方面的未来作用。专家意见：尽管基于MS的蛋白质组学取得了重大进展，但仍需要在大型队列中进行广泛研究，以确定和验证CF疾病的诊断、预后、预测和治疗生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Expert Review of Proteomics 生物-生化研究方法

CiteScore

7.60

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.