Literature DB >> 17996503

Metabolomic identification of potential phospholipid biomarkers for chronic glomerulonephritis by using high performance liquid chromatography-mass spectrometry.

Lewen Jia1, Chang Wang, Sumin Zhao, Xin Lu, Guowang Xu.   

Abstract

Plasma phospholipids metabolic profile of chronic glomerulonephritis was investigated using high performance liquid chromatography/mass spectrometry (LC/MS) and principal component analysis. The plasma samples of 18 patients with chronic glomerulonephritis, 17 patients with chronic renal failure (CRF) without renal replacement therapy and 18 healthy persons were collected and analyzed. It was found that combination of the LC/MS technique with PCA can be successfully applied to phospholipid profile analysis. The results showed that primary chronic glomerulonephritis and CRF had phospholipids metabolic abnormality. Nineteen phospholipid species were identified as possible biomarkers in plasma samples of chronic glomerulonephritis and chronic renal failure. Moreover, the identification of the molecular structure of the potential phospholipid markers was obtained by ESI-MS/MS experiment. It suggests that phospholipids can be used as potential biomarkers on the progress of primary chronic glomerulonephritis.

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Year:  2007        PMID: 17996503     DOI: 10.1016/j.jchromb.2007.10.033

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  6 in total

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Authors:  Ana Reis; Alisa Rudnitskaya; Pajaree Chariyavilaskul; Neeraj Dhaun; Vanessa Melville; Jane Goddard; David J Webb; Andrew R Pitt; Corinne M Spickett
Journal:  J Lipid Res       Date:  2014-11-25       Impact factor: 5.922

2.  Urinary Lipidomics: evidence for multiple sources and sexual dimorphism in healthy individuals.

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Journal:  Pharmacogenomics J       Date:  2017-06-13       Impact factor: 3.550

3.  Distinct urinary lipid profile in children with focal segmental glomerulosclerosis.

Authors:  Elif Erkan; Xueheng Zhao; Kenneth Setchell; Prasad Devarajan
Journal:  Pediatr Nephrol       Date:  2015-11-04       Impact factor: 3.714

4.  Predicting and Defining Steroid Resistance in Pediatric Nephrotic Syndrome Using Plasma Metabolomics.

Authors:  Jessica R Gooding; Shipra Agrawal; Susan McRitchie; Zach Acuff; Michael L Merchant; Jon B Klein; William E Smoyer; Susan J Sumner
Journal:  Kidney Int Rep       Date:  2019-09-19

5.  Serum Metabolomics of Tick-Borne Encephalitis Based on Orbitrap-Mass Spectrometry.

Authors:  Meng Zhang; DeSheng Lu; Hui Sun; HaiJun Zheng; Ming Cang; YanDan Du
Journal:  Int J Gen Med       Date:  2021-11-10

6.  Insights into the molecular basis of tick-borne encephalitis from multiplatform metabolomics.

Authors:  YanDan Du; ZhiHui Mi; YaPing Xie; DeSheng Lu; HaiJun Zheng; Hui Sun; Meng Zhang; YiQing Niu
Journal:  PLoS Negl Trop Dis       Date:  2021-03-10
  6 in total

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