Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/103682
Title: Insights in the Role of Lipids, Oxidative Stress and Inflammation in Rheumatoid Arthritis Unveiled by New Trends in Lipidomic Investigations
Authors: Ferreira, Helena Beatriz
Melo, Tânia
Paiva, Artur 
Domingues, Maria do Rosário
Keywords: rheumatoid arthritis; lipidomics; mass spectrometry; biomarkers; lipid peroxidation
Issue Date: 2-Jan-2021
Publisher: MDPI
Project: FCT - Grant 2020.04611.BD 
LISBOA-01-0145-FEDER-402-022125 
UIDB/50006/2020 
UID/QUI/00062/2019 
UIDP/50017/2020 
UIDB/50017/2020 
Serial title, monograph or event: Antioxidants
Volume: 10
Issue: 1
Abstract: Rheumatoid arthritis (RA) is a highly debilitating chronic inflammatory autoimmune disease most prevalent in women. The true etiology of this disease is complex, multifactorial, and is yet to be completely elucidated. However, oxidative stress and lipid peroxidation are associated with the development and pathogenesis of RA. In this case, oxidative damage biomarkers have been found to be significantly higher in RA patients, associated with the oxidation of biomolecules and the stimulation of inflammatory responses. Lipid peroxidation is one of the major consequences of oxidative stress, with the formation of deleterious lipid hydroperoxides and electrophilic reactive lipid species. Additionally, changes in the lipoprotein profile seem to be common in RA, contributing to cardiovascular diseases and a chronic inflammatory environment. Nevertheless, changes in the lipid profile at a molecular level in RA are still poorly understood. Therefore, the goal of this review was to gather all the information regarding lipid alterations in RA analyzed by mass spectrometry. Studies on the variation of lipid profile in RA using lipidomics showed that fatty acid and phospholipid metabolisms, especially in phosphatidylcholine and phosphatidylethanolamine, are affected in this disease. These promising results could lead to the discovery of new diagnostic lipid biomarkers for early diagnosis of RA and targets for personalized medicine.
URI: https://hdl.handle.net/10316/103682
ISSN: 2076-3921
DOI: 10.3390/antiox10010045
Rights: openAccess
Appears in Collections:I&D ICBR - Artigos em Revistas Internacionais

Show full item record

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons