Literature DB >> 21338761

Plasma esterified and non-esterified fatty acids metabolic profiling using gas chromatography-mass spectrometry and its application in the study of diabetic mellitus and diabetic nephropathy.

Li-Da Han1, Jian-Fei Xia, Qiong-Lin Liang, Yong Wang, Yi-Ming Wang, Ping Hu, Ping Li, Guo-An Luo.   

Abstract

Using gas chromatography-mass spectrometry (GC-MS), a new metabolic profiling method was established to assess the levels of non-esterified fatty acids (NEFAs) and esterified fatty acids (EFAs) in plasma. The extraction method was simple and robust without removing protein process. With this method 25 fatty acids (FAs), both EFAs and NEFAs, can be recognized simultaneously with only 10 μL plasma. 15 of the 25 can be precisely quantified. The method was validated and then applied into clinical metabonomics research. Five clinical groups including 150 cases were involved. The relationship between FA levels and diabetic mellitus (DM) as well as diabetic nephropathy (DN) pathology was speculated. Furthermore, the possible pathological causes and effects were discussed in detail. Potential biomarkers (p value <0.01) were screened with Student's t-test. With the application of partial least squares-discriminant analysis (PLS-DA), different stages were distinguished. The result may be useful for the pathology study of metabolic syndromes, and may also be helpful for monitoring the progression of DM and DN.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21338761     DOI: 10.1016/j.aca.2011.01.034

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  32 in total

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Authors:  Li Chen; Ting Wang; Guanjun Chen; Nuojin Wang; Li Gui; Fang Dai; Zhaohui Fang; Qiu Zhang; Yunxia Lu
Journal:  Endocrine       Date:  2017-01-09       Impact factor: 3.633

2.  Aging decreases rate of docosahexaenoic acid synthesis-secretion from circulating unesterified α-linolenic acid by rat liver.

Authors:  Fei Gao; Ameer Y Taha; Kaizong Ma; Lisa Chang; Dale Kiesewetter; Stanley I Rapoport
Journal:  Age (Dordr)       Date:  2012-03-03

3.  Development of a sensitive and quantitative method for the identification of two major furan fatty acids in human plasma.

Authors:  Long Xu; Changfeng Hu; Yongguo Liu; Siming Li; Walter Vetter; Huiyong Yin; Yonghua Wang
Journal:  J Lipid Res       Date:  2020-02-06       Impact factor: 5.922

Review 4.  Review of recent developments in GC-MS approaches to metabolomics-based research.

Authors:  David J Beale; Farhana R Pinu; Konstantinos A Kouremenos; Mahesha M Poojary; Vinod K Narayana; Berin A Boughton; Komal Kanojia; Saravanan Dayalan; Oliver A H Jones; Daniel A Dias
Journal:  Metabolomics       Date:  2018-11-17       Impact factor: 4.290

5.  CRISP: a deep learning architecture for GC × GC-TOFMS contour ROI identification, simulation and analysis in imaging metabolomics.

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Journal:  Brief Bioinform       Date:  2022-03-10       Impact factor: 11.622

Review 6.  Early detection of diabetic kidney disease: Present limitations and future perspectives.

Authors:  Chih-Hung Lin; Yi-Cheng Chang; Lee-Ming Chuang
Journal:  World J Diabetes       Date:  2016-07-25

Review 7.  Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis.

Authors:  Marta Guasch-Ferré; Adela Hruby; Estefanía Toledo; Clary B Clish; Miguel A Martínez-González; Jordi Salas-Salvadó; Frank B Hu
Journal:  Diabetes Care       Date:  2016-05       Impact factor: 19.112

Review 8.  Fatty acids and cardiometabolic health: a review of studies in Chinese populations.

Authors:  Liang Sun; Geng Zong; Huaixing Li; Xu Lin
Journal:  Eur J Clin Nutr       Date:  2020-08-14       Impact factor: 4.016

Review 9.  Mitochondrial dysfunction in diabetic kidney disease.

Authors:  Josephine M Forbes; David R Thorburn
Journal:  Nat Rev Nephrol       Date:  2018-02-19       Impact factor: 28.314

10.  Serum nonesterified fatty acids have utility as dietary biomarkers of fat intake from fish, fish oil, and dairy in women.

Authors:  Sandi M Azab; Russell J de Souza; Koon K Teo; Sonia S Anand; Natalie C Williams; Jordan Holzschuher; Chris McGlory; Stuart M Philips; Philip Britz-McKibbin
Journal:  J Lipid Res       Date:  2020-03-31       Impact factor: 5.922

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