Literature DB >> 32339553

Lipid-based biomarkers for CVD, COPD, and aging - A translational perspective.

Kim Ekroos1, Oksana Lavrynenko2, Bjoern Titz3, Calin Pater4, Julia Hoeng5, Nikolai V Ivanov6.   

Abstract

For many diseases, there is an unmet need for new or better biomarkers for improved disease risk assessment and monitoring, as available markers lack sufficient specificity. Lipids are drawing major interest as potential candidates for filling these gaps. This has recently been demonstrated by the identification of selective ceramides for prediction of cardiovascular mortality, enabling improved risk assessment of cardiovascular disease compared with conventional clinical markers. In this review, we discuss current lipid biomarker findings and the possible connection between cardiovascular disease, chronic obstructive pulmonary disease, and aging. Moreover, we discuss how to overcome the current roadblocks facing lipid biomarker research. We stress the need for improved quantification, standardization of methodologies, and establishment of initial reference values to allow for an efficient transfer path of research findings into the clinical landscape, and, ultimately, to put newly identified biomarkers into practical use.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Aging; Biomarkers; Cardiovascular disease; Chronic obstructive pulmonary disease; Lipidomics

Year:  2020        PMID: 32339553     DOI: 10.1016/j.plipres.2020.101030

Source DB:  PubMed          Journal:  Prog Lipid Res        ISSN: 0163-7827            Impact factor:   16.195


  4 in total

1.  Chemical Derivatization-Aided High Resolution Mass Spectrometry for Shotgun Lipidome Analysis.

Authors:  Vinzenz Hofferek; Huaqi Su; Gavin E Reid
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Anti-Inflammatory Function of Fatty Acids and Involvement of Their Metabolites in the Resolution of Inflammation in Chronic Obstructive Pulmonary Disease.

Authors:  Stanislav Kotlyarov; Anna Kotlyarova
Journal:  Int J Mol Sci       Date:  2021-11-26       Impact factor: 5.923

3.  Lipidomic risk scores are independent of polygenic risk scores and can predict incidence of diabetes and cardiovascular disease in a large population cohort.

Authors:  Chris Lauber; Mathias J Gerl; Christian Klose; Filip Ottosson; Olle Melander; Kai Simons
Journal:  PLoS Biol       Date:  2022-03-03       Impact factor: 9.593

4.  Monocyte-to-high-density lipoprotein-cholesterol ratio (MHR) and the risk of all-cause and cardiovascular mortality: a nationwide cohort study in the United States.

Authors:  Ming Jiang; Jiaming Yang; Huayiyang Zou; Menghuan Li; Wei Sun; Xiangqing Kong
Journal:  Lipids Health Dis       Date:  2022-03-18       Impact factor: 3.876

  4 in total

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