Pharmacometabolomics analysis of plasma to phenotype clopidogrel high on treatment platelets reactivity in coronary artery disease patients

Smoking and outcomes following personalized antiplatelet therapy in chronic coronary syndrome patients: A substudy from the randomized PATH-PCI trial

BACKGROUND

This is a sub-analysis of the Personalized Antithrombotic Therapy for Coronary Heart Disease after PCI (PATH-PCI) trial in China to explore the relationship between smoking and outcomes following personalized antiplatelet therapy (PAT) in chronic coronary syndrome (CCS) patients undergoing percutaneous coronary intervention (PCI).

METHODS

As a single-center, prospective, randomized controlled and open-label trial, the PATH-PCI trial randomized CCS patients undergoing PCI into standard group or personalized group guided by a novel platelet function test (PFT), from December 2016 to February 2018. All patients were divided into smokers and nonsmokers according to their smoking status. Subsequently, we underwent a 180-day follow-up evaluation. The primary endpoint was the net adverse clinical events (NACE).

RESULTS

Regardless of smoking status, in the incidence of NACE, there was a reduction with PAT but that the reductions are not statistically significant. In the incidence of bleeding events, we found no statistically significant difference between two groups (smokers: 2.0% vs. 1.4%, HR = 1.455, 95% confidence interval [CI]: 0.595-3.559, p = .412; nonsmokers: 2.2% vs. 1.8%, HR = 1.228, 95% CI: 0.530-2.842, p = .632). In smokers, PAT reduced major adverse cardiac and cerebrovascular events (MACCE) by 48.7% (3.0% vs. 5.9%, HR = 0.513, 95% CI: 0.290-0.908, p = .022), compared with standard antiplatelet therapy (SAT). PAT also reduced the major adverse cardiovascular events (MACE) but there was no statistically difference in the reductions (p > .05). In nonsmokers, PAT reduced MACCE and MACE by 51.5% (3.3% vs. 6.7%, HR = 0.485, 95% CI: 0.277-0.849, p = .011) and 63.5% (1.8% vs. 4.9%, HR = 0.365, 95% CI: 0.178-0.752, p = .006), respectively. When testing p-values for interaction, we found there was no significant interaction of smoking status with treatment effects of PAT (pint-NACE  = .184, pint-bleeding  = .660).

CONCLUSION

Regardless of smoking, PAT reduced the MACE and MACCE, with no significant difference in bleeding. This suggests that PAT was an recommendable regimen to CCS patients after PCI, taking into consideration both ischemic and bleeding risk.

Effect of Genetic and Dietary Perturbation of Glycine Metabolism on Atherosclerosis in Humans and Mice

Objective

Epidemiological and genetic studies have reported inverse associations between circulating glycine levels and risk of coronary artery disease (CAD). However, these findings have not been consistently observed in all studies. We sought to evaluate the causal relationship between circulating glycine levels and atherosclerosis using large-scale genetic analyses in humans and dietary supplementation experiments in mice.

Methods

Serum glycine levels were evaluated for association with prevalent and incident CAD in the UK Biobank. A multi-ancestry genome-wide association study (GWAS) meta-analysis was carried out to identify genetic determinants for circulating glycine levels, which were then used to evaluate the causal relationship between glycine and risk of CAD by Mendelian randomization (MR). A glycine feeding study was carried out with atherosclerosis-prone apolipoprotein E deficient (ApoE-/-) mice to determine the effects of increased circulating glycine levels on amino acid metabolism, metabolic traits, and aortic lesion formation.

Results

Among 105,718 subjects from the UK Biobank, elevated serum glycine levels were associated with significantly reduced risk of prevalent CAD (Quintile 5 vs. Quintile 1 OR=0.76, 95% CI 0.67-0.87; P<0.0001) and incident CAD (Quintile 5 vs. Quintile 1 HR=0.70, 95% CI 0.65-0.77; P<0.0001) in models adjusted for age, sex, ethnicity, anti-hypertensive and lipid-lowering medications, blood pressure, kidney function, and diabetes. A meta-analysis of 13 GWAS datasets (total n=230,947) identified 61 loci for circulating glycine levels, of which 26 were novel. MR analyses provided modest evidence that genetically elevated glycine levels were causally associated with reduced systolic blood pressure and risk of type 2 diabetes, but did provide evidence for an association with risk of CAD. Furthermore, glycine-supplementation in ApoE-/- mice did not alter cardiometabolic traits, inflammatory biomarkers, or development of atherosclerotic lesions.

Conclusions

Circulating glycine levels were inversely associated with risk of prevalent and incident CAD in a large population-based cohort. While substantially expanding the genetic architecture of circulating glycine levels, MR analyses and in vivo feeding studies in humans and mice, respectively, did not provide evidence that the clinical association of this amino acid with CAD represents a causal relationship, despite being associated with two correlated risk factors.

NMR-Based Metabolomic Analysis of Cardiac Tissues Clarifies Molecular Mechanisms of CVB3-Induced Viral Myocarditis and Dilated Cardiomyopathy

Viral myocarditis (VMC), which is defined as inflammation of the myocardium with consequent myocardial injury, may develop chronic disease eventually leading to dilated cardiomyopathy (DCM). Molecular mechanisms underlying the progression from acute VMC (aVMC), to chronic VMC (cVMC) and finally to DCM, are still unclear. Here, we established mouse models of VMC and DCM with Coxsackievirus B3 infection and conducted NMR-based metabolomic analysis of aqueous metabolites extracted from cardiac tissues of three histologically classified groups including aVMC, cVMC and DCM. We showed that these three pathological groups were metabolically distinct from their normal counterparts and identified three impaired metabolic pathways shared by these pathological groups relative to normal controls, including nicotinate and nicotinamide metabolism; alanine, aspartate and glutamate metabolism; and D-glutamine and D-glutamate metabolism. We also identified two extra impaired metabolic pathways in the aVMC group, including glycine, serine and threonine metabolism; and taurine and hypotaurine metabolism Furthermore, we identified potential cardiac biomarkers for metabolically distinguishing these three pathological stages from normal controls. Our results indicate that the metabolomic analysis of cardiac tissues can provide valuable insights into the molecular mechanisms underlying the progression from acute VMC to DCM.

The impact of PEAR 1 polymorphism on clinical outcomes in Chinese patients receiving dual antiplatelet therapy after percutaneous coronary intervention

Background: Patients might still experience major adverse cardiovascular events even with dual antiplatelet therapy after percutaneous coronary intervention. Our study aimed to explore the impact of gene polymorphism on clinical outcomes in one-year follow-up. Methods: A total of 171 patients treated with dual antiplatelet therapy after percutaneous coronary intervention from April to December 2020 in the first hospital of Jilin University enrolled in this study. Results: PEAR1 genetic polymorphisms was associated with the arachidonic acid (AA) and adenosine diphosphate (ADP) platelet aggregation. Hyperglycemia was associated with the rate of major adverse cardiovascular events. PEAR1 GA+AA genetic genetic polymorphisms is associated with hyperglycemia. Conclusion: PEAR1 GG is a risk factor for AA and ADP platelet aggregation. Hyperglycemia can effect the one-year outcome. PEAR1 GA+AA genetic polymorphisms are associated with hyperglycemia.

Pharmacometabolomics by NMR in Oncology: A Systematic Review

Pharmacometabolomics (PMx) studies aim to predict individual differences in treatment response and in the development of adverse effects associated with specific drug treatments. Overall, these studies inform us about how individuals will respond to a drug treatment based on their metabolic profiles obtained before, during, or after the therapeutic intervention. In the era of precision medicine, metabolic profiles hold great potential to guide patient selection and stratification in clinical trials, with a focus on improving drug efficacy and safety. Metabolomics is closely related to the phenotype as alterations in metabolism reflect changes in the preceding cascade of genomics, transcriptomics, and proteomics changes, thus providing a significant advance over other omics approaches. Nuclear Magnetic Resonance (NMR) is one of the most widely used analytical platforms in metabolomics studies. In fact, since the introduction of PMx studies in 2006, the number of NMR-based PMx studies has been continuously growing and has provided novel insights into the specific metabolic changes associated with different mechanisms of action and/or toxic effects. This review presents an up-to-date summary of NMR-based PMx studies performed over the last 10 years. Our main objective is to discuss the experimental approaches used for the characterization of the metabolic changes associated with specific therapeutic interventions, the most relevant results obtained so far, and some of the remaining challenges in this area.

Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics

Metabolomics has been widely used for investigating the biological functions of disease expression and has the potential to discover biomarkers in circulating biofluids or tissue extracts that reflect in phenotypic changes. Metabolic profiling has advantages because of the use of unbiased techniques, including multivariate analysis, and has been applied in pharmacological studies to predict therapeutic and adverse reactions of drugs, which is called pharmacometabolomics (PMx). Nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based metabolomics has contributed to the discovery of recent disease biomarkers; however, the optimal strategy for the study purpose must be selected from many established protocols, methodologies and analytical platforms. Additionally, information on molecular localization in tissue is essential for further functional analyses related to therapeutic and adverse effects of drugs in the process of drug development. MS imaging (MSI) is a promising technology that can visualize molecules on tissue surfaces without labeling and thus provide localized information. This review summarizes recent uses of MS-based global and wide-targeted metabolomics technologies and the advantages of the MSI approach for PMx and highlights the PMx technique for the biomarker discovery of adverse drug effects.

Association of FMO3 rs1736557 polymorphism with clopidogrel response in Chinese patients with coronary artery disease

PURPOSE

Dual antiplatelet therapy with aspirin and clopidogrel is commonly used for coronary artery disease (CAD) patients undergoing percutaneous coronary intervention to prevent stent thrombosis and ischemic events. However, some patients show high on-treatment platelet reactivity (HTPR) during clopidogrel therapy. Genetic factors such as loss-of-function variants of CYP2C19 are validated to increase the risk of HTPR. Flavin-containing monooxygenase 3 (FMO3) is reported to be associated with potency of platelet responsiveness and thrombosis. This study aimed to explore the association between FMO3 rs1736557 polymorphism and clopidogrel response.

METHODS

Five hundred twenty-two Chinese CAD patients treated with dual antiplatelet therapy were recruited from Xiangya Hospital. After oral administration of 300 mg loading dose (LD) clopidogrel for 12-24 h or 75 mg daily maintenance dose (MD) clopidogrel for at least 5 days, the platelet reaction index (PRI) was determined by vasodilator-stimulated phosphoprotein-phosphorylation assay. FMO3 rs1736557, CYP2C19*2, and CYP2C19*3 polymorphisms were genotyped by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP).

RESULTS

Mean PRI value was significantly higher in CYP2C19 poor metabolizers (PMs) and intermediate metabolizers (IMs) than the extensive metabolizers (EMs) (p < 0.001). In addition, FMO3 rs1736557 AA homozygotes showed significantly lower PRI as compared with carriers of the major rs1736557 G allele in the entire cohort and in the MD cohort (p = 0.011, p = 0.008, respectively). The risk of HTPR was decreased significantly in carriers of the rs1736557 A allele (AA vs GG: OR = 0.316, 95% CI: 0.137-0.726, p = 0.005; AA vs GA: OR = 0.249, 95% CI: 0.104-0.597, p = 0.001; AA vs GG+GA: OR = 0.294, 95% CI: 0.129-0.669, p = 0.002), and the association was observed mainly in patients carrying the CYP2C19 LOF allele and in those administered with MD.

CONCLUSION

The FMO3 rs1736557 AA genotype was related to an increased the antiplatelet potency of clopidogrel in Chinese CAD patients. Additional studies are required to verify this finding.

Metabolomics applications in coronary artery disease personalized medicine

Coronary artery disease (CAD), the most common cardiovascular disease (CVD), contributes to significant mortality worldwide. CAD is a multifactorial disease wherein various factors contribute to its pathogenesis often complicating management. Biomarker based personalized medicine may provide a more effective way to individualize therapy in multifactorial diseases in general and CAD specifically. Systems' biology "Omics" biomarkers have been investigated for this purpose. These biomarkers provide a more comprehensive understanding on pathophysiology of the disease process and can help in identifying new therapeutic targets and tailoring therapy to achieve optimum outcome. Metabolomics biomarkers usually reflect genetic and non-genetic factors involved in the phenotype. Metabolomics analysis may provide better understanding of the disease pathogenesis and drug response variation. This will help in guiding therapy, particularly for multifactorial diseases such as CAD. In this chapter, advances in metabolomics analysis and its role in personalized medicine will be reviewed with comprehensive focus on CAD. Assessment of risk, diagnosis, complications, drug response and nutritional therapy will be discussed. Together, this chapter will review the current application of metabolomics in CAD management and highlight areas that warrant further investigation.

Coronary heart disease and intestinal microbiota

Changes in human body systems influence metabolism and may cause disease. The intestinal microbiota influence health and is itself influenced by factors including diet and drugs. Investigation of the relationship of the intestinal microbiota and chronic conditions like coronary heart disease (CHD) has been facilitated by advances in sequencing technology. Some studies have identified changes in the composition and the metabolism of intestinal microbiota in patients with CHD, including increases in phyla Bacteroidetes and Proteobacteria and decreases in phyla Firmicutes and Fusobacteria. The ratio of two metabolites of intestinal bacteria, trimethylamine and trimethylamine N-oxide, has been found to be related to CHD. This review summarizes recent research to provide ideas for further research on the relationships between intestinal microbiota and CHD and on the preventive measures for CHD.

Association of Frailty With Antiplatelet Response Among Elderly Chinese Patients With Coronary Artery Disease Undergoing Percutaneous Coronary Intervention

Frailty has been implicated as a prognostic factor for ischemic cardiovascular diseases. However, the effects of frailty on platelet responses to aspirin and clopidogrel remain under investigation. In this study, we enrolled consecutive elderly patients with coronary artery disease (CAD) who were treated by percutaneous coronary intervention (PCI) to evaluate this association. A total of 264 patients (aged 70-95 years) were included. Patients were divided into 2 groups: a nonfrail (nFR) group and a frail (FR) group according to the Clinical Frailty Scale. Platelet reactivity was assessed with a light transmittance aggregometry method, and arachidonic acid and adenosine diphosphate induced maximum platelet aggregation (AA-MPA/ADP-MPA) were calculated to evaluate the platelet response to aspirin and clopidogrel. The results showed that the AA-MPA and ADP-MPA of the FR group were significantly higher than those in the nFR group (17.49 ± 6.65 vs 15.19 ± 6.33, P < .01; 56.13 ± 10.14 vs 45.45 ± 11.59, P < .01). High on-aspirin platelet response (HAPR) and high on-clopidogrel platelet response (HCPR) were significantly more common in the FR group than in the nFR group (24.67% vs 13.16%, P = .028, 37.33% vs 15.79%, P < .01). According to multivariable regression analyses, frailty was found to be independently associated with AA-MPA (β_coefficient = 1.883, P = .042) and ADP-MPA (β_coefficient = 9.287, P < .001), and it was an independent predictor of HAPR (odds ratio [OR]: 2.696, P < .01) and HCPR (OR: 2.543, P < .01). It was concluded that among elderly patients with CAD undergoing PCI, frailty is an independent predictor of HAPR and HCPR, and the state of frailty is independently associated with the platelet responses to clopidogrel and aspirin.

Personalized antiplatelet therapy guided by a novel detection of platelet aggregation function in stable coronary artery disease patients undergoing percutaneous coronary intervention: a randomized controlled clinical trial

Aims

A number of studies have attempted to demonstrate the benefits associated with personalized antiplatelet therapy guided by platelet function testing, which has led to disappointing findings. In this study, we used a new platelet function test to guide antiplatelet therapy in stable coronary artery disease (CAD) patients after percutaneous coronary intervention (PCI).

Methods and results

In the present randomized controlled trial, a total of 2237 patients with stable CAD undergoing PCI were randomly chosen to be administered personalized antiplatelet therapy (personalized group; n = 1123) or standard antiplatelet treatment (standard group; n = 1114). The patients in the standard therapy group, without detecting the platelet aggregation rate, were administered a 75 mg/day clopidogrel maintenance dosage plus 100 mg/day of aspirin for at least 6 months after the procedure. For the patients in the personalized therapy group, the antiplatelet strategy was performed according to the maximum aggregation rate (MAR), determined using a novel platelet analyser, PL-12. If MAR &gt; 55%, 90 mg ticagrelor was administered twice daily plus 100 mg/day of aspirin after PCI. If MAR ≤55%, 75 mg/day clopidogrel plus 100 mg/day of aspirin was administered after PCI. The primary endpoint was net clinical adverse events, which were a composite of cardiac death, myocardial infarction, stroke, stent thrombosis, urgent revascularization, and bleeding [Bleeding Academic Research Consortium (BARC) definitions, Type 2, 3, or 5], in the 180-day period after randomization. The primary endpoint was reached in 58 patients in the personalized group, compared with 85 patients in the standard group [5.1% vs. 7.5%, hazard ratio (HR) 0.678, 95% confidence interval (CI) 0.486–0.947, P = 0.023], on intention-to-treat analysis. We also found that the net clinical adverse events (including ischaemic and bleeding events) were significantly reduced in the personalized group at 30 days after PCI compared to the standard group (1.5% vs. 3.0%, HR 0.510, 95% CI 0.284–0.915, P = 0.020). We did not find a significant difference in major bleeding events at either the 30-day (0.5% vs. 0.3%, P = 0.322) or the 180-day follow-up (2.1% vs. 1.6%, P = 0.364) between the two groups.

Conclusion

The present study suggests that personalized antiplatelet therapy according to MAR can significantly improve the net clinical benefit 180 days after PCI.

Modulation of CYP450 Activities in Patients With Type 2 Diabetes

We conducted a comprehensive in vivo study evaluating the influence of type 2 diabetes (T2D) on major cytochrome P450 (CYP450) activities. These activities were assessed in 38 T2D and 35 non-T2D subjects after a single oral administration of a cocktail of probe drugs: 100 mg caffeine (CYP1A2), 100 mg bupropion (CYP2B6), 250 mg tolbutamide (CYP2C9), 20 mg omeprazole (CYP2C19), 30 mg dextromethorphan (CYP2D6), 2 mg midazolam (CYP3As), and 250 mg chlorzoxazone (alone; CYP2E1). Mean metabolic activity for CYP2C19, CYP2B6, and CYP3A was decreased in subjects with T2D by about 46%, 45%, and 38% (P < 0.01), respectively. CYP1A2 and CYP2C9 activities seemed slightly increased in subjects with diabetes, and no difference was observed for CYP2D6 or CYP2E1 activities. Several covariables, such as inflammatory markers (interleukin (IL)-1ß, IL-6, gamma interferon, and tumor necrosis factor alpha), genotypes, and diabetes-related and demographic-related factors were considered in our analyses. Our results indicate that low chronic inflammatory status associated with T2D modulates CYP450 activities in an isoform-specific manner.

Interaction of clopidogrel and fufang danshen dripping pills assay in coronary heart disease based on non-target metabolomics

ETHNOPHARMACOLOGICAL RELEVANCE

Clopidogrel is the recommended treatment by current clinical practice guidelines to prevent adverse cardiovascular events in patients with coronary heart disease (CHD), but this treatment regimen still fails and 5-40% patients display inadequate antiplatelet responses. Fufang Danshen Dripping Pill (FDDP), a Chinese patient drug, was used as the combination with clopidogrel to improve the therapeutic effect. However, the mechanism of the interaction between clopidogrel and FDDP has not been elucidated.

MATERIALS AND METHODS

We have used non-targeted metabolism method based on GC-MS and LC-MS for the investigation of drug interactions between clopidogrel and FDDP. 63 patients were divided into four groups with different dosage regimen and the serum samples were collected for the analysis.

RESULTS

We have found 5 and 55 differential metabolites between health volunteer group and CHD patients group, respectively. The contents of these differential metabolites had diverse changes in clopidogrel group, FDDP group, and drug combination group, indicating that the clopidogrel and FDDP combination can adjust the glycometabolism, lipid metabolism, and phospholipid metabolism, sequentially made the content of downstream related metabolites towards to the health volunteer group.

CONCLUSION

This work has explained the mechanism of the interaction between clopidogrel and FDDP from the point of view of metabolic product change, and revealed the potential metabolic pathways it affects, which provided the new ideas for clinical medication.

Cerebral microbleeds in patients with ischemic cerebrovascular disease taking aspirin or clopidogrel

Cerebral microbleeds (CMBs) may be markers of intracerebral bleeding risk in patients receiving antithrombotic drugs. This study aimed to analyze CMBs and white matter hyperintensities (WMHs) in patients taking aspirin or clopidogrel.This retrospective study included patients with ischemic cardiovascular disease administered 75 mg/day aspirin (n = 150) or clopidogrel (n = 150, matched for age and gender) for >1 year (Affiliated Hospital of Inner Mongolia Medical University, China, from July, 2010 to July, 2015). Patients underwent T2-weighted imaging, T1-weighted imaging, diffusion-weighted imaging (DWI) and enhanced T2*-weighted angiography (ESWAN) imaging (3.0-Tesla scanner). Baseline vascular risk factors for CMBs and macroscopic bleeding (MB) were evaluated using univariate and multivariate analyses.The aspirin and clopidogrel groups did not differ significantly in baseline characteristics or prevalences of CMBs or MB. The odds of MB were higher in patients with CMBs than in patients without CMBs in both the aspirin (odds ratio, 95% confidence interval: 4.09, 1.93-8.68; P < .001) and clopidogrel (6.42, 2.83-14.57; P < .001) groups. The odds of WMHs were also higher in patients with CMBs in both the aspirin (3.28, 1.60-6.71; P = .001) and clopidogrel (4.09, 1.91-8.75; P < .001) groups. Patients receiving treatment for >5 years showed elevated risk of CMBs in the aspirin (0.17; 0.09-0.36; P < .001) and clopidogrel (0.15, 0.07-0.33; P < .001) groups as well as higher odds of MB in the aspirin (0.34, 0.16-0.71; P = .004) and clopidogrel (0.37, 0.17-0.80; P = .010) groups.The WMHs and MB were associated with CMBs in patients taking aspirin or clopidogrel for >1 year, and long-term use increased the risks of CMB and bleeding.

Pharmacometabonomics: The Prediction of Drug Effects Using Metabolic Profiling

Metabonomics, also known as metabolomics, is concerned with the study of metabolite profiles in humans, animals, plants and other systems in order to assess their health or other status and their responses to experimental interventions. Metabonomics is thus widely used in disease diagnosis and in understanding responses to therapies such as drug administration. Pharmacometabonomics, also known as pharmacometabolomics, is a related methodology but with a prognostic as opposed to diagnostic thrust. Pharmacometabonomics aims to predict drug effects including efficacy, safety, metabolism and pharmacokinetics, prior to drug administration, via an analysis of pre-dose metabolite profiles. This article will review the development of pharmacometabonomics as a new field of science that has much promise in helping to deliver more effective personalised medicine, a major goal of twenty-first century healthcare.