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膜性肾病患者微量元素与重金属元素的模式识别

Pattern Recognition of Trace Element vs Heavy Elements in Patients with Membranous Nephropathy.

作者信息

Xu Xiaochang, Xu Jing, Xie Weiji, Yang Zhihui, Wu Keping, Zhao Shuping, Zhang Yimin

机构信息

The Division of Nephrology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510000, People's Republic of China.

Biomedical Innovation Center, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, 510000, People's Republic of China.

出版信息

Biol Trace Elem Res. 2024 Nov 30. doi: 10.1007/s12011-024-04461-5.

Abstract

The objective of the present study was to investigate the role of trace elements and heavy elements in the pattern recognition in patients with membranous nephropathy. Elements such as V, Cr, Mn, Co, Ni, Cu, Zn, Ga, As, Se, Sr, Cd, Cs, Ba, Pb, and Hg were quantified by inductively coupled plasma mass spectrometry in blood and urine of 14 patients with membranous nephropathy, 14 patients with IgA nephropathy, and 13 normal controls. The blood levels of Cr, Co, Ni, Cu, Zn, Ga, As, Cd, and Ba and the urine levels of Co, Ni, Cu, and Zn in patients with membranous nephropathy were significantly lower than those in normal controls (P < 0.05), while the blood levels of Se, Pb, and Hg and the urine level of Hg were higher (P < 0.05). The blood levels of V, Cr, Co, Cu, As, Sr, Cd, and Ba and the urine levels of Sr and Ba in the patients with membranous nephropathy were significantly lower than those in the IgA nephropathy group (P < 0.05), while the blood and the urine levels of Pb and Hg were higher (P < 0.05). Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to analyze the results of elements. The results showed that Co, Zn, Hg, and Ba in the blood and Co and Ni in urine significantly contributed to the discriminant model of membranous nephropathy and normal controls; Sr in the blood and Pb and Sr in urine significantly contributed to the discriminant model of membranous nephropathy and IgA nephropathy.

摘要

本研究的目的是调查微量元素和重金属元素在膜性肾病患者模式识别中的作用。通过电感耦合等离子体质谱法对14例膜性肾病患者、14例IgA肾病患者和13名正常对照者的血液和尿液中的钒(V)、铬(Cr)、锰(Mn)、钴(Co)、镍(Ni)、铜(Cu)、锌(Zn)、镓(Ga)、砷(As)、硒(Se)、锶(Sr)、镉(Cd)、铯(Cs)、钡(Ba)、铅(Pb)和汞(Hg)等元素进行定量分析。膜性肾病患者血液中的铬、钴、镍、铜、锌、镓、砷、镉和钡以及尿液中的钴、镍、铜和锌水平显著低于正常对照者(P < 0.05),而血液中的硒、铅和汞以及尿液中的汞水平较高(P < 0.05)。膜性肾病患者血液中的钒、铬、钴、铜、砷、锶、镉和钡以及尿液中的锶和钡水平显著低于IgA肾病组(P < 0.05),而血液和尿液中的铅和汞水平较高(P < 0.05)。采用主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA)对元素分析结果进行分析。结果表明,血液中的钴、锌、汞和钡以及尿液中的钴和镍对膜性肾病与正常对照者的判别模型有显著贡献;血液中的锶以及尿液中的铅和锶对膜性肾病与IgA肾病的判别模型有显著贡献。

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