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血清-尿液匹配代谢组学预测过敏性紫癜性肾炎进展

Serum-Urine Matched Metabolomics for Predicting Progression of Henoch-Schonlein Purpura Nephritis.

作者信息

Zhang Qian, Lai Ling-Yun, Cai Yuan-Yuan, Wang Ma-Jie, Ma Gaoxiang, Qi Lian-Wen, Xue Jun, Huang Feng-Qing

机构信息

The Clinical Metabolomics Center, China Pharmaceutical University, Nanjing, China.

Division of Nephrology, Huashan Hospital, Fudan University, Shanghai, China.

出版信息

Front Med (Lausanne). 2021 May 12;8:657073. doi: 10.3389/fmed.2021.657073. eCollection 2021.

Abstract

Henoch-Schonlein purpura nephritis (HSPN) is a common glomerulonephritis secondary to Henoch-Schonlein purpura (HSP) that affects systemic metabolism. Currently, there is a rarity of biomarkers to predict the progression of HSPN. This work sought to screen metabolic markers to predict the progression of HSPN via serum-urine matched metabolomics. A total of 90 HSPN patients were enrolled, including 46 HSPN (+) patients with severe kidney damage (persistent proteinuria >0.3 g/day) and 44 HSPN (-) patients without obvious symptoms (proteinuria < 0.3 g/day). Untargeted metabolomics was determined by liquid chromatography-quadrupole time-of-flight mass spectrometry (LC-Q/TOF-MS). A total of 38 and 50 differential metabolites were, respectively, identified in serum and urine from the comparison between HSPN (+) and HSPN (-) patients. Altered metabolic pathways in HSPN (+) mainly included glycerophospholipid metabolism, pyruvate metabolism, and citrate cycle. A panel of choline and -vaccenic acid gave areas under the curve of 92.69% in serum and 72.43% in urine for differential diagnosis between HSPN (+) and HSPN (-). In addition, the two metabolites showed a significant association with clinical indices of HSPN. These results suggest that serum-urine matched metabolomics comprehensively characterized the metabolic differences between HSPN (+) and HSPN (-), and choline and -vaccenic acid could serve as biomarkers to predict HSPN progression.

摘要

过敏性紫癜性肾炎(HSPN)是一种继发于过敏性紫癜(HSP)的常见肾小球肾炎,会影响全身代谢。目前,预测HSPN进展的生物标志物较为罕见。这项研究旨在通过血清-尿液匹配代谢组学筛选代谢标志物以预测HSPN的进展。共纳入90例HSPN患者,其中46例HSPN(+)患者有严重肾损伤(持续性蛋白尿>0.3g/天),44例HSPN(-)患者无明显症状(蛋白尿<0.3g/天)。采用液相色谱-四极杆飞行时间质谱(LC-Q/TOF-MS)进行非靶向代谢组学分析。在HSPN(+)和HSPN(-)患者的比较中,血清和尿液中分别鉴定出38种和50种差异代谢物。HSPN(+)中改变的代谢途径主要包括甘油磷脂代谢、丙酮酸代谢和柠檬酸循环。一组胆碱和反式vaccenic酸在血清中的曲线下面积为92.69%,在尿液中的曲线下面积为72.43%,用于HSPN(+)和HSPN(-)的鉴别诊断。此外,这两种代谢物与HSPN的临床指标显示出显著相关性。这些结果表明,血清-尿液匹配代谢组学全面表征了HSPN(+)和HSPN(-)之间的代谢差异,胆碱和反式vaccenic酸可作为预测HSPN进展的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6709/8149729/6cd2fe5b431c/fmed-08-657073-g0001.jpg

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