Literature DB >> 23546298

Plasma and serum from nonfasting men and women differ in their lipidomic profiles.

Masaki Ishikawa1, Yoko Tajima, Mayumi Murayama, Yuya Senoo, Keiko Maekawa, Yoshiro Saito.   

Abstract

Biomarkers will play important roles in disease diagnosis, drug development, and the proper use of drugs. Blood is considered the best biofluid for biomarker research because it is easy to access and a wealth of data are available. However, previous studies revealed that several ionic metabolites showed different levels (including presence or absence) in plasma and serum. Thus, attention should be paid to selecting the best biofluid for biomarker exploration. Many lipid molecules have biological significance and thus would be candidate biomarkers. However, no comprehensive study revealing differences in lipid metabolite levels between plasma and serum has been undertaken. Furthermore, gender differences have not been reported. To clarify the difference in the levels of lipid metabolites between human plasma and serum from both genders, we performed lipid metabolomic analysis using liquid chromatography-mass spectrometry-based systems for phospholipids (PLs), lysoPLs, sphingomyelins, ceramides and oxidative fatty acids. Our results revealed that most of the lipid metabolites were present at similar levels in plasma and serum and in males and females. However, several oxidative fatty acid metabolites showed differences. Of the metabolites related to clotting processes, three showed higher levels in serum than in plasma, and three were detected only in serum. Furthermore, four metabolites were present at different levels between males and females, and two were detected only in males. Thus, attention should be paid to the selection of plasma or serum when utilizing these lipid metabolites as biomarkers.

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Year:  2013        PMID: 23546298     DOI: 10.1248/bpb.b12-00799

Source DB:  PubMed          Journal:  Biol Pharm Bull        ISSN: 0918-6158            Impact factor:   2.233


  15 in total

1.  A comparison of human serum and plasma metabolites using untargeted 1H NMR spectroscopy and UPLC-MS.

Authors:  Manuja Kaluarachchi; Claire L Boulangé; Ibrahim Karaman; John C Lindon; Timothy M D Ebbels; Paul Elliott; Russell P Tracy; Nels C Olson
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Journal:  J Lipid Res       Date:  2014-03-13       Impact factor: 5.922

Review 3.  An overview of renal metabolomics.

Authors:  Sahir Kalim; Eugene P Rhee
Journal:  Kidney Int       Date:  2016-09-28       Impact factor: 10.612

Review 4.  Protein-based biomarkers in cerebrospinal fluid and blood for Alzheimer's disease.

Authors:  Yongyao Fu; Deming Zhao; Lifeng Yang
Journal:  J Mol Neurosci       Date:  2014-06-25       Impact factor: 3.444

5.  Lipidomic analysis of brain tissues and plasma in a mouse model expressing mutated human amyloid precursor protein/tau for Alzheimer's disease.

Authors:  Yoko Tajima; Masaki Ishikawa; Keiko Maekawa; Mayumi Murayama; Yuya Senoo; Tomoko Nishimaki-Mogami; Hiroki Nakanishi; Kazutaka Ikeda; Makoto Arita; Ryo Taguchi; Alato Okuno; Ryuta Mikawa; Shumpei Niida; Osamu Takikawa; Yoshiro Saito
Journal:  Lipids Health Dis       Date:  2013-05-09       Impact factor: 3.876

6.  Comparison of circulating lipid profiles between fasting humans and three animal species used in preclinical studies: mice, rats and rabbits.

Authors:  Masaki Ishikawa; Kosuke Saito; Masayo Urata; Yuji Kumagai; Keiko Maekawa; Yoshiro Saito
Journal:  Lipids Health Dis       Date:  2015-09-10       Impact factor: 3.876

7.  Effects of pre-analytical processes on blood samples used in metabolomics studies.

Authors:  Peiyuan Yin; Rainer Lehmann; Guowang Xu
Journal:  Anal Bioanal Chem       Date:  2015-03-04       Impact factor: 4.142

8.  Enzymatically Modified Starch Ameliorates Postprandial Serum Triglycerides and Lipid Metabolome in Growing Pigs.

Authors:  Barbara U Metzler-Zebeli; Eva Eberspächer; Dietmar Grüll; Lidia Kowalczyk; Timea Molnar; Qendrim Zebeli
Journal:  PLoS One       Date:  2015-06-15       Impact factor: 3.240

9.  Plasma and serum lipidomics of healthy white adults shows characteristic profiles by subjects' gender and age.

Authors:  Masaki Ishikawa; Keiko Maekawa; Kosuke Saito; Yuya Senoo; Masayo Urata; Mayumi Murayama; Yoko Tajima; Yuji Kumagai; Yoshiro Saito
Journal:  PLoS One       Date:  2014-03-14       Impact factor: 3.240

10.  Effects of sex, age, and fasting conditions on plasma lipidomic profiles of fasted Sprague-Dawley rats.

Authors:  Kosuke Saito; Masaki Ishikawa; Mayumi Murayama; Masayo Urata; Yuya Senoo; Katsuko Toyoshima; Yuji Kumagai; Keiko Maekawa; Yoshiro Saito
Journal:  PLoS One       Date:  2014-11-06       Impact factor: 3.240

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