Supplementary Material for: Uromodulin and α1-Antitrypsin Urinary Peptide Analysis to Differentiate Glomerular Kidney Diseases
收藏DataCite Commons2020-09-02 更新2024-07-25 收录
下载链接:
https://karger.figshare.com/articles/dataset/Supplementary_Material_for_Uromodulin_and_1-Antitrypsin_Urinary_Peptide_Analysis_to_Differentiate_Glomerular_Kidney_Diseases/4780939/1
下载链接
链接失效反馈官方服务:
资源简介:
<em>Background/Aims:</em> Glomerular kidney disease (GKD) is suspected in patients based on proteinuria, but its diagnosis relies primarily on renal biopsy. We used urine peptide profiling as a noninvasive means to link GKD-associated changes to each glomerular entity. <i>Methods:</i> Urinary peptide profiles of 60 biopsy-proven glomerular patients and 14 controls were analyzed by combining magnetic bead peptide enrichment, MALDI-TOF MS analysis, and ClinProTools v2.0 to select differential peptides. Tentative identification of the differential peptides was carried out by HPLC-MS/MS. <i>Results:</i> The HPLC-MS/MS results suggest that uromodulin (UMOD; m/z: 1682, 1898 and 1913) and α<sub>1</sub>-antitrypsin (A1AT; m/z: 1945, 2392 and 2505) are differentially expressed urinary peptides that distinguish between GKD patients and healthy subjects. Low UMOD and high A1AT peptide abundance was observed in 80–92% of patients with GKD. Proliferative forms of GKD were distinguished from nonproliferative forms, based on a combination of UMOD and A1AT peptides. Nonproliferative forms correlated with higher A1AT peptide levels – focal segmental glomerulosclerosis was linked more closely to high levels of the m/z 1945 peptide than minimal change disease. <i>Conclusion:</i> We describe a workflow – urinary peptide profiling coupled with histological findings – that can be used to distinguish GKD accurately and noninvasively, particularly its nonproliferative forms.
**背景/研究目的:** 肾小球肾病(Glomerular kidney disease, GKD)可通过蛋白尿疑似诊断,但确诊主要依赖肾活检。本研究采用尿液肽谱分析作为无创手段,将GKD相关的分子变化与各肾小球病变类型关联起来。
**方法:** 本研究纳入60例经活检证实的肾小球肾病患者与14例健康对照者,联合磁珠肽富集、基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)分析与ClinProTools v2.0软件筛选差异肽段;通过高效液相色谱-串联质谱(HPLC-MS/MS)对差异肽段进行初步鉴定。
**结果:** HPLC-MS/MS分析结果显示,尿调蛋白(uromodulin, UMOD;m/z:1682、1898和1913)与α₁-抗胰蛋白酶(α₁-antitrypsin, A1AT;m/z:1945、2392和2505)为区分GKD患者与健康受试者的差异表达尿液肽段。80%~92%的GKD患者呈现UMOD肽丰度降低、A1AT肽丰度升高的特征。结合UMOD与A1AT肽谱,可区分增生性与非增生性GKD亚型。非增生性GKD与更高水平的A1AT肽相关——局灶节段性肾小球硬化(focal segmental glomerulosclerosis)与m/z 1945肽段高水平的关联性强于微小病变型肾病(minimal change disease)。
**结论:** 本研究建立了一套尿液肽谱分析联合组织病理学检测的工作流程,可精准且无创地鉴别肾小球肾病,尤其是其非增生性亚型。
提供机构:
Karger Publishers
创建时间:
2017-03-23



