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数据非依赖型采集揭示了尿毒症瘙痒症患者血清蛋白质组的深度变化。

Data independent acquisition reveals in-depth serum proteome changes in uremic pruritus.

作者信息

Wen-Jing Zhao, Rui-Zhi Tan, Si-Yuan He, Xiao-Mei Du, Qiong-Dan Hu, Xiao-Qian Zhang, Wen-Hua Huang, Hong-Wei Su, Jian Liu, Qiong Zhang, Li Wang

机构信息

Research Center of Intergated Traditional Chinese and Western Medicine, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, China.

Department of Nephrology, The Affiliated Hospital, Southwest Medical University, Luzhou, China.

出版信息

Front Physiol. 2024 Mar 21;15:1287072. doi: 10.3389/fphys.2024.1287072. eCollection 2024.

Abstract

Uremic pruritus (UP) is a prevalent symptom in patients suffering from uremia, yet its underlying etiology and mechanisms remain incompletely elucidated. Given the significant incidence of UP, identifying specific alterations in proteins present in the blood of UP patients could offer insights into the potential biological pathways associated with UP and facilitate the exploration of biomarkers. In this study, we employed LC-MS/MS-based data-independent acquisition (DIA) mode to analyze serum samples obtained from 54 UP patients categorized as DKD-UP, HN-UP, and GN-UP (n = 18 for each subgroup), along with 18 uremic patients without pruritus (Negative) and 18 CKD patients without pruritus (CKD). Through DIA mode analysis, a total of 7075 peptides and 959 proteins were quantified. Within these, we identified four upregulated and 13 downregulated Differentially Expressed Proteins (DEPs) in DKD-UP versus Negative, five upregulated and 22 downregulated DEPs in HN-UP versus Negative, and three upregulated and 23 downregulated DEPs in GN-UP versus Negative. Furthermore, we conducted an intersection analysis of the DEPs across these three comparison groups to derive a set of common DEPs (COMP). Subsequently, a total of 67 common DEPs were identified in the three UP groups when compared to the CKD group, with 40 DEPs showing upregulation and 27 DEPs displaying downregulation. Following Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Protein-Protein Interaction (PPI) analyses, we observed that the DEPs distinguishing UP from CKD were primarily associated with mitochondrial function (MT-CYB, PRDX2, TOMM22), inflammation (CD59, CSF1), renal injury (WFDC2), and neural function (CAP1, VGF). Our findings contribute to a potential molecular comprehension of UP pathogenesis, shedding light on the identification of these DEPs as plausible biomarkers for UP.

摘要

尿毒症瘙痒(UP)是尿毒症患者中普遍存在的症状,但其潜在病因和机制仍未完全阐明。鉴于UP的发病率较高,确定UP患者血液中蛋白质的特定变化可以为与UP相关的潜在生物学途径提供见解,并有助于探索生物标志物。在本研究中,我们采用基于液相色谱-串联质谱的数据非依赖采集(DIA)模式,分析了从54例UP患者(分为糖尿病肾病相关性UP、高血压肾病相关性UP和肾小球肾炎相关性UP,每个亚组n = 18)以及18例无瘙痒的尿毒症患者(阴性组)和18例无瘙痒的慢性肾脏病患者(CKD组)获得的血清样本。通过DIA模式分析,共定量了7075个肽段和959种蛋白质。其中我们鉴定出,糖尿病肾病相关性UP与阴性组相比有4种上调和13种下调的差异表达蛋白(DEP),高血压肾病相关性UP与阴性组相比有5种上调和22种下调的DEP,肾小球肾炎相关性UP与阴性组相比有3种上调和23种下调DEP。此外,我们对这三个比较组中的DEP进行了交集分析,以得出一组共同的DEP(COMP)。随后,与CKD组相比,在三个UP组中总共鉴定出67种共同的DEP,其中40种DEP上调,27种DEP下调。经过基因本体(GO)、京都基因与基因组百科全书(KEGG)和蛋白质-蛋白质相互作用(PPI)分析,我们观察到区分UP和CKD的DEP主要与线粒体功能(MT-CYB、PRDX2、TOMM22)、炎症(CD59、CSF1)、肾损伤(WFDC2)和神经功能(CAP1、VGF)相关。我们的研究结果有助于对UP发病机制进行潜在的分子理解,为将这些DEP鉴定为UP可能的生物标志物提供了线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/900b/10991838/6acea91a65e1/fphys-15-1287072-g001.jpg

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