Urine metabolomics for seronegative rheumatoid arthritis: an exploratory dual-platform analysis.

IF 2.4 4区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Molecular omics Pub Date : 2026-01-16 DOI:10.1093/momics/aaiaf004

Koteswari Peddi, Satyanarayana Swamy Cheekatla, Usharajeswari Davulury, Prathyash Ushus M J, Satish Mutyam, Siva Kumar Kandula, Vishnu Vardhan Reddy Munagala, Sivakumar Vallabhapurapu

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Abstract

Seronegative rheumatoid arthritis (negRA) is difficult to diagnose due to the absence of rheumatoid factor and anticitrullinated peptide antibodies. This observational case-control study analysed urine samples from 35 negRA patients and 25 healthy controls using integrated liquid chromatography-quadrupole time-of-flight mass spectrometry and gas chromatography-mass spectrometry. Data were processed using mass spectrometry-data independent analysis and evaluated with multivariate approaches, including orthogonal partial least squares discriminant analysis and receiver operating characteristic curve analysis. We identified distinct urinary metabolic alterations in negRA, with four metabolites showing moderate-to-excellent diagnostic accuracy (area under the curve: 0.78-0.91). Pathway analysis using the Kyoto Encyclopedia of Genes and Genomes indicated the involvement of redox regulation and nucleotide/cofactor metabolism. These findings support the potential of urine metabolomics as a non-invasive tool for biomarker discovery in negRA and warrant validation in larger cohorts.

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血清阴性类风湿性关节炎的尿液代谢组学：一项探索性双平台分析。

血清阴性类风湿性关节炎（negRA）由于缺乏类风湿因子和抗纤氨酸肽抗体而难以诊断。本观察性病例对照研究使用液相色谱-四极杆飞行时间质谱联用和气相色谱-质谱联用分析了35例negRA患者和25例健康对照者的尿液样本。采用质谱-数据独立分析对数据进行处理，并采用多变量方法进行评价，包括正交偏最小二乘判别分析和受试者工作特征曲线分析。我们发现了negRA明显的尿液代谢改变，其中四种代谢物显示出中等到极好的诊断准确性（曲线下面积：0.78-0.91）。利用京都基因和基因组百科全书进行的途径分析表明，氧化还原调控和核苷酸/辅因子代谢参与了这一过程。这些发现支持尿液代谢组学作为发现negRA生物标志物的非侵入性工具的潜力，并需要在更大的队列中进行验证。

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

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.