Literature DB >> 20519132

Perturbations in the lipid profile of individuals with newly diagnosed type 1 diabetes mellitus: lipidomics analysis of a Diabetes Antibody Standardization Program sample subset.

Christina M Sorensen1, Jie Ding, Qibin Zhang, Thierry Alquier, Rui Zhao, Patricia W Mueller, Richard D Smith, Thomas O Metz.   

Abstract

OBJECTIVES: To characterize the lipid profile of individuals with newly diagnosed type 1 diabetes mellitus using LC-MS-based lipidomics and the accurate mass and time (AMT) tag approach. DESIGN AND METHODS: Lipids were extracted from plasma and sera of 10 subjects from the Diabetes Antibody Standardization Program (years 2000-2005) and 10 non-diabetic subjects and analyzed by capillary liquid chromatography coupled with a hybrid ion-trap-Fourier transform ion cyclotron resonance mass spectrometer. Lipids were identified and quantified using the AMT tag approach.
RESULTS: Five hundred fifty-nine lipid features differentiated (q<0.05) diabetic from healthy individuals in a partial least-squares analysis, characterizing individuals with recently diagnosed type 1 diabetes mellitus.
CONCLUSIONS: A lipid profile associated with newly diagnosed type 1 diabetes may aid in further characterization of biochemical pathways involved in lipid regulation or mobilization. 2010 The Canadian Society of Clinical Chemists. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20519132      PMCID: PMC2919299          DOI: 10.1016/j.clinbiochem.2010.04.075

Source DB:  PubMed          Journal:  Clin Biochem        ISSN: 0009-9120            Impact factor:   3.281


  33 in total

Review 1.  Advances in proteomics data analysis and display using an accurate mass and time tag approach.

Authors:  Jennifer S D Zimmer; Matthew E Monroe; Wei-Jun Qian; Richard D Smith
Journal:  Mass Spectrom Rev       Date:  2006 May-Jun       Impact factor: 10.946

Review 2.  Chemometrics in metabonomics.

Authors:  Johan Trygg; Elaine Holmes; Torbjörn Lundstedt
Journal:  J Proteome Res       Date:  2007-02       Impact factor: 4.466

3.  Robust algorithm for alignment of liquid chromatography-mass spectrometry analyses in an accurate mass and time tag data analysis pipeline.

Authors:  Navdeep Jaitly; Matthew E Monroe; Vladislav A Petyuk; Therese R W Clauss; Joshua N Adkins; Richard D Smith
Journal:  Anal Chem       Date:  2006-11-01       Impact factor: 6.986

4.  The phospholipid composition of erythrocyte ghosts and plasma lipoproteins in diabetes type 1 in children.

Authors:  C Watała; Z Jóźwiak
Journal:  Clin Chim Acta       Date:  1990-05       Impact factor: 3.786

Review 5.  Diabetic dyslipidemia.

Authors:  Tina J Chahil; Henry N Ginsberg
Journal:  Endocrinol Metab Clin North Am       Date:  2006-09       Impact factor: 4.741

6.  Depletion in choline containing phospholipids of LpB particles in adequately controlled type I insulin-dependent diabetes mellitus.

Authors:  C Fievet; O Ziegler; H J Parra; L Mejean; J C Fruchart; P Drouin
Journal:  Diabete Metab       Date:  1990 Mar-Apr

7.  Plasma lipoproteins and lipoprotein lipase in young diabetics with and without ketonuria.

Authors:  P Rubba; B Capaldo; A Falanga; S Caprio; A Rivellese; G Riccardi; M Mancini
Journal:  J Endocrinol Invest       Date:  1985-10       Impact factor: 4.256

8.  Application of proteomics in the discovery of candidate protein biomarkers in a diabetes autoantibody standardization program sample subset.

Authors:  Thomas O Metz; Wei-Jun Qian; Jon M Jacobs; Marina A Gritsenko; Ronald J Moore; Ashoka D Polpitiya; Matthew E Monroe; David G Camp; Patricia W Mueller; Richard D Smith
Journal:  J Proteome Res       Date:  2007-12-20       Impact factor: 4.466

9.  Reduced Na(+)-K(+)-ATPase activity and plasma lysophosphatidylcholine concentrations in diabetic patients.

Authors:  R A Rabini; R Galassi; P Fumelli; N Dousset; M L Solera; P Valdiguie; G Curatola; G Ferretti; M Taus; L Mazzanti
Journal:  Diabetes       Date:  1994-07       Impact factor: 9.461

Review 10.  Oxidized phospholipids: from molecular properties to disease.

Authors:  Gilbert O Fruhwirth; Alexandra Loidl; Albin Hermetter
Journal:  Biochim Biophys Acta       Date:  2007-05-06
View more
  16 in total

1.  The MPLEx Protocol for Multi-omic Analyses of Soil Samples.

Authors:  Carrie D Nicora; Kristin E Burnum-Johnson; Ernesto S Nakayasu; Cameron P Casey; Richard A White; Taniya Roy Chowdhury; Jennifer E Kyle; Young-Mo Kim; Richard D Smith; Thomas O Metz; Janet K Jansson; Erin S Baker
Journal:  J Vis Exp       Date:  2018-05-30       Impact factor: 1.355

2.  A reversed-phase capillary ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) method for comprehensive top-down/bottom-up lipid profiling.

Authors:  Xiaoli Gao; Qibin Zhang; Da Meng; Giorgis Isaac; Rui Zhao; Thomas L Fillmore; Rosey K Chu; Jianying Zhou; Keqi Tang; Zeping Hu; Ronald J Moore; Richard D Smith; Michael G Katze; Thomas O Metz
Journal:  Anal Bioanal Chem       Date:  2012-02-23       Impact factor: 4.142

Review 3.  Lipidomics in Biomarker Research.

Authors:  Thorsten Hornemann
Journal:  Handb Exp Pharmacol       Date:  2022

4.  Accurate mass-time tag library for LC/MS-based metabolite profiling of medicinal plants.

Authors:  Daniel J Cuthbertson; Sean R Johnson; Jasenka Piljac-Žegarac; Julia Kappel; Sarah Schäfer; Matthias Wüst; Raymond E B Ketchum; Rodney B Croteau; Joaquim V Marques; Laurence B Davin; Norman G Lewis; Megan Rolf; Toni M Kutchan; D Doel Soejarto; B Markus Lange
Journal:  Phytochemistry       Date:  2013-04-16       Impact factor: 4.072

5.  Greazy: Open-Source Software for Automated Phospholipid Tandem Mass Spectrometry Identification.

Authors:  Michael A Kochen; Matthew C Chambers; Jay D Holman; Alexey I Nesvizhskii; Susan T Weintraub; John T Belisle; M Nurul Islam; Johannes Griss; David L Tabb
Journal:  Anal Chem       Date:  2016-05-24       Impact factor: 6.986

6.  Accurate mass and retention time library of serum lipids for type 1 diabetes research.

Authors:  Ngoc Vu; Monica Narvaez-Rivas; Guan-Yuan Chen; Marian J Rewers; Qibin Zhang
Journal:  Anal Bioanal Chem       Date:  2019-07-06       Impact factor: 4.478

7.  Modulation of the lipidomic profile due to a lipid challenge and fitness level: a postprandial study.

Authors:  Ciara Morris; Colm M O'Grada; Miriam F Ryan; Michael J Gibney; Helen M Roche; Eileen R Gibney; Lorraine Brennan
Journal:  Lipids Health Dis       Date:  2015-07-01       Impact factor: 3.876

8.  GALLIC ACID IMPROVES OXIDATIVE STRESS AND INFLAMMATION THROUGH REGULATING MICRORNAS EXPRESSIONS IN THE BLOOD OF DIABETIC RATS.

Authors:  F Ramezani Ali Akbari; M Badavi; M Dianat; S A Mard; A Ahangarpour
Journal:  Acta Endocrinol (Buchar)       Date:  2019 Apr-Jun       Impact factor: 0.877

9.  Fenofibrate promotes PPARα-targeted recovery of the intestinal epithelial barrier at the host-microbe interface in dogs with diabetes mellitus.

Authors:  Katti R Crakes; Jully Pires; Nina Quach; Riley E Ellis-Reis; Rachel Greathouse; Kathyrnne A Chittum; Jörg M Steiner; Patricia Pesavento; Stanley L Marks; Satya Dandekar; Chen Gilor
Journal:  Sci Rep       Date:  2021-06-29       Impact factor: 4.379

10.  Glycerophospholipid and sphingolipid species and mortality: the Ludwigshafen Risk and Cardiovascular Health (LURIC) study.

Authors:  Alexander Sigruener; Marcus E Kleber; Susanne Heimerl; Gerhard Liebisch; Gerd Schmitz; Winfried Maerz
Journal:  PLoS One       Date:  2014-01-17       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.