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肾脏疾病中的血浆蛋白质组指纹图谱。

Plasma proteome fingerprint in kidney diseases.

作者信息

Nikolsky Kirill S, Kopylov Arthur T, Nakhod Valeriya I, Potoldykova Natalia V, Enikeev Dmitry V, Butkova Tatiana V, Kulikova Liudmila I, Malsagova Kristina A, Rudnev Vladimir R, Petrovskiy Denis V, Izotov Alexander A, Kaysheva Anna L

机构信息

Laboratory of Structural Proteomics, Institute of Biomedical Chemistry, Moscow, Russia.

Institute for Urology and Reproductive Health, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.

出版信息

Front Mol Biosci. 2025 Jan 17;11:1494779. doi: 10.3389/fmolb.2024.1494779. eCollection 2024.

Abstract

INTRODUCTION

Kidney diseases pose a serious healthcare problem because of their high prevalence, worsening of patients' quality of life, and high mortality. Patients with kidney diseases are often asymptomatic until disease progression starts. Expensive renal replacement therapy options, such as dialysis or kidney transplant, are required for end-stage kidney disease. Early diagnosis of kidney pathology is crucial for slowing down or curbing further damage. This study aimed to analyze the features of the protein composition of blood plasma in patients with the most common kidney pathologies: kidney calculus, kidney cyst, and kidney cancer.

METHODS

The study involved 75 subjects. Proteins associated with kidney pathologies (CFB, SERPINA3, HPX, HRG, SERPING1, HBB, ORM2, and CP) were proposed. These proteins are important participants of complement and coagulation cascade activation and lipid metabolism.

RESULTS

The revealed phosphorylated proteoforms (CFB, C4A/C4B, F2, APOB, TTR, and NRAP) were identified. For them, modification sites were mapped on 3D protein models, and the potential role in formation of complexes with native partner proteins was assessed.

DISCUSSION

The study demonstrates that the selected kidney pathologies have a similar proteomic profile, and patients can be classified into kidney pathology groups with an accuracy of (70-80)%.

摘要

引言

肾脏疾病因其高患病率、患者生活质量恶化以及高死亡率而构成严重的医疗保健问题。肾脏疾病患者在疾病进展开始之前通常没有症状。终末期肾病需要昂贵的肾脏替代治疗选择,如透析或肾移植。肾脏病理的早期诊断对于减缓或遏制进一步损害至关重要。本研究旨在分析患有最常见肾脏病理疾病(肾结石、肾囊肿和肾癌)的患者血浆蛋白质组成的特征。

方法

该研究纳入了75名受试者。提出了与肾脏病理相关的蛋白质(CFB、SERPINA3、HPX、HRG、SERPING1、HBB、ORM2和CP)。这些蛋白质是补体和凝血级联激活以及脂质代谢的重要参与者。

结果

鉴定出了所揭示的磷酸化蛋白异构体(CFB、C4A/C4B、F2、APOB、TTR和NRAP)。针对它们,在三维蛋白质模型上绘制了修饰位点,并评估了其与天然伴侣蛋白形成复合物的潜在作用。

讨论

该研究表明,所选的肾脏病理疾病具有相似的蛋白质组学特征,并且可以将患者分为肾脏病理疾病组,准确率为(70 - 80)%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d6/11782039/d0d40c94696f/fmolb-11-1494779-g001.jpg

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