期刊
ANTIOXIDANTS
卷 10, 期 1, 页码 -出版社
MDPI
DOI: 10.3390/antiox10010045
关键词
rheumatoid arthritis; lipidomics; mass spectrometry; biomarkers; lipid peroxidation
资金
- University of Aveiro
- FCT/MCT [UIDB/50017/2020 + UIDP/50017/2020, FCT UID/QUI/00062/2019, UIDB/50006/2020]
- Portuguese Mass Spectrometry Network [LISBOA-01-0145-FEDER-402-022125]
- FEDER
- FCT (Fundacao para a Ciencia e Tecnologia)
Rheumatoid arthritis is a chronic inflammatory autoimmune disease most prevalent in women, where oxidative stress and lipid peroxidation play a role in its development and pathogenesis. Lipid metabolism and changes in the lipoprotein profile are common in RA, contributing to cardiovascular diseases and a chronic inflammatory environment.
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.
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