| Literature DB >> 28409825 |
Paul Welsh1, Gianluca Grassia2, Shani Botha3, Naveed Sattar1, Pasquale Maffia1,2,4.
Abstract
Data from basic science experiments is overwhelmingly supportive of the causal role of immune-inflammatory response(s) at the core of atherosclerosis, and therefore, the theoretical potential to manipulate the inflammatory response to prevent cardiovascular events. However, extrapolation to humans requires care and we still lack definitive evidence to show that interfering in immune-inflammatory processes may safely lessen clinical atherosclerosis. In this review, we discuss key therapeutic targets in the treatment of vascular inflammation, placing basic research in a wider clinical perspective, as well as identifying outstanding questions. LINKED ARTICLES: This article is part of a themed section on Targeting Inflammation to Reduce Cardiovascular Disease Risk. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v174.22/issuetoc and http://onlinelibrary.wiley.com/doi/10.1111/bcp.v82.4/issuetoc.Entities:
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Year: 2017 PMID: 28409825 PMCID: PMC5660005 DOI: 10.1111/bph.13818
Source DB: PubMed Journal: Br J Pharmacol ISSN: 0007-1188 Impact factor: 8.739
Figure 1Pro‐atherogenic and inflammatory pathways targeted by prospective anti‐atherosclerotic antibodies and inhibitors.
Figure 2Summary of studies investigating the role of vitamin C in CVD risk. Data from Boekholdt et al. (2006), Ye and Song (2008) and Myung et al. (2013).
Summary of studies investigating the effect of key inflammation‐related interventions on the risk for CVD and events
| Target | Intervention | Observational studies (low weighted evidence of causal inference) | Mendelian randomization studies (intermediate weighted evidence of causal inference) | Randomized trials (strong weighted evidence of causal inference) |
|---|---|---|---|---|
| TNF‐α | Adalimumab | ↑ Circulating TNF‐α ↑ CVD risk | NA |
↑Infections (Singh |
| Infliximab | Biological use ↓risk of CVD (Greenberg |
| ||
| Etanercept | Biological use ↓NT‐proBNP (Peters | |||
| IL‐6R | Tocilizumab | ↑ Circulating IL‐6 ↑CVD risk (Sarwar |
IL‐6R SNPs rs7529229 and rs2228145 (Sarwar |
↑LDL‐C, ↓lipoprotein(a), ↓fibrinogen, ↓D‐dimer; ↔ small LDL, ↔ oxidized LDL, (McInnes |
| IL‐12/23 p40 | Ustekinumab | NA | NA | ↓CRP (Toedter |
| Briakinumab | ↑ | |||
| IL‐1β | Canakinumab | NA | IL‐1Ra SNPs rs6743376 and rs1542176 (Interleukin 1 Genetics Consortium, | Ongoing ( |
| IL‐1R | Anakinra (rIL‐1RA) |
↓IL‐6; ↓CRP; | ||
| Lp‐PLA2 | Darapladib | ↑Lp‐PLA2 mass and activity ↑CVD risk (Thompson |
Several SNPs including rs1051931 (Casas |
↓IL‐6; ↓CRP (Mohler |
| sPLA2 | Varespladib | ↑sPLA2 circulating concentration ↑CVD risk (Boekholdt |
SNP rs11573156 (Holmes | ↑ |
| Multiple | Methotrexate | Methotrexate use ↓risk of CVD (Micha | NA | Ongoing ( |
NA, not applicable (note this may not mean there are no published studies, but that studies are comparatively small, prone to bias, or inconclusive); ↑, increase; ↓, decrease; ↔, unchanged; TC, total cholesterol; CAD, coronary artery disease; rIL‐1RA, recombinant IL‐1 receptor antagonist.