Literature DB >> 30926249

Common Fatty Markers in Diseases with Dysregulated Lipogenesis.

David Balgoma1, Curt Pettersson2, Mikael Hedeland2.   

Abstract

Recent studies have reported the upregulation of a subgroup of triacylglycerides as markers of different diseases with dysregulated lipogenesis, which means that these markers are not selective. This observation has a deep impact on their use as diagnostic tools in clinical practice (e.g., markers of risk of type 2 diabetes).
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  disease markers; dysregulated lipogenesis; lipidomics; liver X receptors; regulatory element-binding transcription factors; triglycerides

Year:  2019        PMID: 30926249     DOI: 10.1016/j.tem.2019.02.008

Source DB:  PubMed          Journal:  Trends Endocrinol Metab        ISSN: 1043-2760            Impact factor:   12.015


  7 in total

1.  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

2.  Structural elucidation of triacylglycerol using online acetone Paternò-Büchi reaction coupled with reversed-phase liquid chromatography mass spectrometry.

Authors:  Elissia T Franklin; Yu Xia
Journal:  Analyst       Date:  2020-08-06       Impact factor: 4.616

3.  Anabolic androgenic steroids exert a selective remodeling of the plasma lipidome that mirrors the decrease of the de novo lipogenesis in the liver.

Authors:  David Balgoma; Sofia Zelleroth; Alfhild Grönbladh; Mathias Hallberg; Curt Pettersson; Mikael Hedeland
Journal:  Metabolomics       Date:  2020-01-10       Impact factor: 4.290

4.  Oogenesis and lipid metabolism in the deep-sea sponge Phakellia ventilabrum (Linnaeus, 1767).

Authors:  Vasiliki Koutsouveli; David Balgoma; Antonio Checa; Mikael Hedeland; Ana Riesgo; Paco Cárdenas
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.996

5.  Anthracyclins Increase PUFAs: Potential Implications in ER Stress and Cell Death.

Authors:  David Balgoma; Fredrik Kullenberg; Carlemi Calitz; Maria Kopsida; Femke Heindryckx; Hans Lennernäs; Mikael Hedeland
Journal:  Cells       Date:  2021-05-11       Impact factor: 6.600

6.  Machine learning of human plasma lipidomes for obesity estimation in a large population cohort.

Authors:  Mathias J Gerl; Christian Klose; Michal A Surma; Celine Fernandez; Olle Melander; Satu Männistö; Katja Borodulin; Aki S Havulinna; Veikko Salomaa; Elina Ikonen; Carlo V Cannistraci; Kai Simons
Journal:  PLoS Biol       Date:  2019-10-18       Impact factor: 8.029

Review 7.  Multi-omics: Opportunities for research on mechanism of type 2 diabetes mellitus.

Authors:  Shuai Wang; Hui Yong; Xiao-Dong He
Journal:  World J Diabetes       Date:  2021-07-15
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.