Interpreting lipid levels in the context of high-grade inflammatory states with a focus on rheumatoid arthritis: a challenge to conventional cardiovascular risk actions

2009 ◽  
Vol 68 (4) ◽  
pp. 460-469 ◽  
Author(s):  
E Choy ◽  
N Sattar

In severe untreated rheumatoid arthritis (RA), reductions in high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol and total cholesterol have been noted; this is in line with findings in other pathologies/conditions associated with inflammation or infection, such as sepsis, cancer, trauma or the postoperative period. Although the precise mechanisms remain to be established, cytokine-induced activation of the reticuloendothelial system is potentially critical to such changes. Consequently, dampening of inflammation in severe RA—as occurs with several biologics—may lead to increases, not only in high-density lipoprotein-cholesterol, but also with other lipid moieties, including total and low-density lipoprotein-cholesterol and, perhaps, triglycerides. This concept is consistent with findings following antitumour necrosis factor treatment and interleukin-6 receptor inhibition in patients with RA. At the same time, it is increasingly apparent that potent dampening of inflammation, however achieved, broadly reduces the risk of cardiovascular disease in RA. Therefore, changes in lipid profiles, particularly increases in cholesterol and triglycerides that occur with treatments for severe inflammation, may not represent increased cardiovascular risk as in the usual understanding of lipid-level elevations in individuals without significant inflammation. Rather, changes in lipid levels, in part or largely, may represent a predictable response to attenuation of inflammation. These observations are increasingly important clinically and should aid in the understanding and interpretation of lipid changes under inflammatory conditions, as well as in the context of potent anti-inflammatory interventions.

Rheumatology ◽  
2019 ◽  
Vol 59 (4) ◽  
pp. 889-898
Author(s):  
Xingbo Mo ◽  
Yufan Guo ◽  
Qiyu Qian ◽  
Mengzhen Fu ◽  
Huan Zhang

Abstract Objectives Phosphorylation-related single-nucleotide polymorphisms (phosSNPs) are missense SNPs that may influence protein phosphorylation. The aim of this study was to evaluate the effect of phosSNPs on lipid levels and RA. Methods We examined the association of phosSNPs with lipid levels and RA in large-scale genome-wide association studies (GWAS) and performed random sampling and fgwas analyses to determine whether the phosSNPs associated with lipid levels and RA were significantly enriched. Furthermore, we performed QTL analysis and Mendelian randomization analysis to obtain additional evidence to be associated with the identified phosSNPs and genes. Results We found 483 phosSNPs for lipid levels and 243 phosSNPs for RA in the GWAS loci (P < 1.0 × 10−5). SNPs associated with high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, Total cholesterol (TC) and RA were significantly enriched with phosSNPs. Almost all of the identified phosSNPs showed expression quantitative trait loci (eQTL) effects. A total of 48 protein QTLs and 9 metabolite QTLs were found. The phosSNP rs3184504 (p.Trp262Arg) at SH2B3 was significantly associated with RA, SH2B3 expression level, and plasma levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, TC, hypoxanthine and 80 proteins, including beta-2-microglobulin. SH2B3 was differentially expressed between RA cases and controls in peripheral blood mononuclear cells and synovial tissues. Mendelian randomization analysis showed that SH2B3 expression level was significantly associated with TC level and RA. Plasma beta-2-microglobulin level was causally associated with high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, TC levels and RA. Conclusion The findings suggested that phosSNPs may play important roles in lipid metabolism and the pathological mechanisms of RA. PhosSNPs may influence lipid levels and RA risk by altering gene expression and plasma protein levels.


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