Literature DB >> 33278596

Systems biology approaches to study lipidomes in health and disease.

Marina Amaral Alves1, Santosh Lamichhane1, Alex Dickens1, Aidan McGlinchey2, Henrique Caracho Ribeiro1, Partho Sen3, Fang Wei4, Tuulia Hyötyläinen5, Matej Orešič6.   

Abstract

Lipids have many important biological roles, such as energy storage sources, structural components of plasma membranes and as intermediates in metabolic and signaling pathways. Lipid metabolism is under tight homeostatic control, exhibiting spatial and dynamic complexity at multiple levels. Consequently, lipid-related disturbances play important roles in the pathogenesis of most of the common diseases. Lipidomics, defined as the study of lipidomes in biological systems, has emerged as a rapidly-growing field. Due to the chemical and functional diversity of lipids, the application of a systems biology approach is essential if one is to address lipid functionality at different physiological levels. In parallel with analytical advances to measure lipids in biological matrices, the field of computational lipidomics has been rapidly advancing, enabling modeling of lipidomes in their pathway, spatial and dynamic contexts. This review focuses on recent progress in systems biology approaches to study lipids in health and disease, with specific emphasis on methodological advances and biomedical applications.
Copyright © 2020 The Author(s). Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Disease biomarkers; Genome-scale metabolic modeling; Lipidomics; Metabolomics; Systems biology

Mesh:

Year:  2020        PMID: 33278596     DOI: 10.1016/j.bbalip.2020.158857

Source DB:  PubMed          Journal:  Biochim Biophys Acta Mol Cell Biol Lipids        ISSN: 1388-1981            Impact factor:   4.698


  11 in total

Review 1.  Dried blood spots in clinical lipidomics: optimization and recent findings.

Authors:  Helena Beatriz Ferreira; Inês M S Guerra; Tânia Melo; Hugo Rocha; Ana S P Moreira; Artur Paiva; M Rosário Domingues
Journal:  Anal Bioanal Chem       Date:  2022-07-15       Impact factor: 4.478

Review 2.  Current State of Fluid Lipid Biomarkers for Personalized Diagnostics and Therapeutics in Schizophrenia Spectrum Disorders and Related Psychoses: A Narrative Review.

Authors:  Timothy A Couttas; Beverly Jieu; Cathrin Rohleder; F Markus Leweke
Journal:  Front Psychiatry       Date:  2022-05-27       Impact factor: 5.435

3.  Shear-Mediated Platelet Activation is Accompanied by Unique Alterations in Platelet Release of Lipids.

Authors:  Alice Sweedo; Lisa M Wise; Yana Roka-Moiia; Fernando Teran Arce; S Scott Saavedra; Jawaad Sheriff; Danny Bluestein; Marvin J Slepian; John G Purdy
Journal:  Cell Mol Bioeng       Date:  2021-08-25       Impact factor: 3.337

Review 4.  Interpreting the lipidome: bioinformatic approaches to embrace the complexity.

Authors:  Jennifer E Kyle; Lucila Aimo; Alan J Bridge; Geremy Clair; Maria Fedorova; J Bernd Helms; Martijn R Molenaar; Zhixu Ni; Matej Orešič; Denise Slenter; Egon Willighagen; Bobbie-Jo M Webb-Robertson
Journal:  Metabolomics       Date:  2021-06-06       Impact factor: 4.290

Review 5.  Unraveling the Role of 12- and 20- HETE in Cardiac Pathophysiology: G-Protein-Coupled Receptors, Pharmacological Inhibitors, and Transgenic Approaches.

Authors:  Jonathan V Pascale; Pamela A Lucchesi; Victor Garcia
Journal:  J Cardiovasc Pharmacol       Date:  2021-06-01       Impact factor: 3.271

Review 6.  Coupling Machine Learning and Lipidomics as a Tool to Investigate Metabolic Dysfunction-Associated Fatty Liver Disease. A General Overview.

Authors:  Helena Castañé; Gerard Baiges-Gaya; Anna Hernández-Aguilera; Elisabet Rodríguez-Tomàs; Salvador Fernández-Arroyo; Pol Herrero; Antoni Delpino-Rius; Nuria Canela; Javier A Menendez; Jordi Camps; Jorge Joven
Journal:  Biomolecules       Date:  2021-03-22

7.  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

Review 8.  Adaptation of Lipid Profiling in Depression Disease and Treatment: A Critical Review.

Authors:  Bruno Pinto; Tiago Conde; Inês Domingues; M Rosário Domingues
Journal:  Int J Mol Sci       Date:  2022-02-12       Impact factor: 5.923

9.  Untargeted Lipidomic Profiling of Dry Blood Spots Using SFC-HRMS.

Authors:  Pauline Le Faouder; Julia Soullier; Marie Tremblay-Franco; Anthony Tournadre; Jean-François Martin; Yann Guitton; Caroline Carlé; Sylvie Caspar-Bauguil; Pierre-Damien Denechaud; Justine Bertrand-Michel
Journal:  Metabolites       Date:  2021-05-11

10.  Disturbed lipid and amino acid metabolisms in COVID-19 patients.

Authors:  Jerzy-Roch Nofer; Thomas Renné; Mojgan Masoodi; Manuela Peschka; Stefan Schmiedel; Munif Haddad; Maike Frye; Coen Maas; Ansgar Lohse; Samuel Huber; Paulus Kirchhof
Journal:  J Mol Med (Berl)       Date:  2022-01-22       Impact factor: 4.599

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.