Atreleuton

Xanthine dehydrogenase (XDH) contributes significantly to generating reactive oxygen species in coronary artery disease (CAD). XDH has been proposed as a therapeutic target, but its genetic variants could affect protein structure and drug response. We aimed to assess protein structure modification occur due to genetic variants and to screen 215 CAD drugs for their utility in personalized CAD treatment against the XDH variants. A series of computational methods were implemented to identify pathogenic variants that cause XDH structure instability localized at the con served regions contributing to functional significance. Then, the XDH structures with the pathogenic variants were modeled using two different approaches to select the best models for docking with the CAD drugs. Finally, the stability of the docked complexes and their ability to transfer electrons were evaluated using molecular dynamics (MD) simulations and quantum mechanics/molecular mechanics (QM/MM) calculation. Among 751 variants examined; R149C and Q919R showed high pathogenicity, localized in conserved regions could alter protein structure and function. Further, docking of CAD drugs against XDH (native, R149C and Q919R) showed vericiguat with higher affinity, ranging from −7.95 kcal/mol to −10.41 kcal/mol, than the well-known XDH inhibitor (febuxostat, −5.73 kcal/mol to −8.35 kcal/mol). This indicates that vericiguat will be effective in CAD treatment, regardless of the XDH variants. Additionally, MD simulation and QM/MM confirmed vericiguat stability and electron transfer ability to form hydrogen bonds with the XDH protein. In conclusion, vericiguat will be beneficial for the personalized treatment of CAD by inhibiting XDH variants. Additional clinical studies are necessary to confirm our findings.

Inflammation is emerging as an important risk factor for atherosclerotic cardiovascular disease and has been a recent target for many novel therapeutic agents. However, comparative evidence regarding efficacy of these anti-inflammatory treatment options is currently lacking.

This systematic review will include randomised controlled trials evaluating the effect of anti-inflammatory agents on cardiovascular outcomes in patients with known cardiovascular disease. Studies will be retrieved from Medline, Embase, the Cochrane Central Register of Controlled Trials, as well as clinical trial registry websites, Europe PMC and conference abstract handsearching. No publication date or language restrictions will be imposed. Eligible interventions must have some component of anti-inflammatory agent. These include (but are not limited to): non-steroidal anti-inflammatory drugs (NSAIDs), colchicine, prednisone, methotrexate, canakinumab, pexelizumab, anakinra, succinobucol, losmapimod, inclacumab, atreleuton, LP-PLA2(darapladib) and sPLA2(varespladib). The primary outcomes will include major adverse cardiac events (MACE), and each individual component of MACE (myocardial infarction, stroke and cardiovascular death). Key secondary outcomes will include unstable angina, heart failure, all-cause mortality, cardiac arrest and revascularisation. Screening, inclusion, data extraction and quality assessment will be performed independently by two reviewers. Network meta-analysis based on the random effects model will be conducted to compare treatment effects both directly and indirectly. The quality of the evidence will be assessed with appropriate tools including the Grading of Recommendations, Assessment, Development and Evaluation profiler or Confidence in Network Meta-Analysis tool.

Ethics approval is not required for this systematic review. The findings will be disseminated through a peer-reviewed journal.

CRD42022303289.