Tang, Weihong

Abstract Background Coagulation markers are used to guide clinical anticoagulation decisions. We aimed to identify circulating metabolites that are associated with coagulation markers in children with congenital heart disease (CHD). Methods Plasma samples were separated from whole blood under consistent conditions. Untargeted metabolomic data were measured in plasma from up to 203 young patients (age range: 0 days-24 years) with CHD before cardiac surgery. Coagulation markers included activated partial thromboplastin time (aPTT), prothrombin time (PT), and activated clotting time (ACT). Weighted Gene Co-expression Network Analysis (WGCNA) was performed to explore metabolite modules (clusters). Associations of metabolites with the coagulation markers were assessed cross-sectionally with regression models, with false discovery rate (FDR) correction for multiple comparison. Associations between coagulation markers and ‘eigenmetabolites’ from WGCNA modules were assessed by correlation analysis. Results A total of 776 metabolites were included in the final analysis. Among these, 20 metabolites were associated with PT and one (valine) with ACT (FDR q value < 0.05). Among the metabolites associated with PT, the top three were retinol, 1-palmitoyl-GPI (16:0), and X-25371 (identity unknown). One module from WGCNA with metabolites from the lipid super pathway was correlated with PT (P = 0.004). Conclusion In this first attempt to identify novel metabolites for coagulation markers, we report 21 metabolites associated with PT or ACT in children with CHD. Future studies are needed to replicate these findings in independent cohorts and to elucidate the biological mechanisms linking these metabolites to hemostatic regulation.

Sodium-glucose co-transporter-2 inhibitors (SGLT2i) have demonstrated benefits in heart failure with preserved ejection fraction (HFpEF), but their impact following acute myocardial infarction (AMI) is less well understood. Using the TriNetX Research Network (TriNetX) multi-center registry (2014–2022), we identified patients with heart failure with preserved ejection fraction (HFpEF)—defined as left ventricular ejection fraction (LVEF) >50% and New York Heart Association (NYHA) class II–IV—not previously treated with sodium-glucose co-transporter 2 inhibitors (SGLT2i) who experienced an acute myocardial infarction (AMI). Patients who initiated SGLT2i within 1-year post-AMI were compared with those who did not. Propensity score matching was used to balance cohorts ( n = 20,423 each; mean age 68.3 ± 11.0 years; 54.5% female) for demographics, comorbidities, and treatment variables. The primary outcome was a composite of major adverse cardiovascular events (MACE), including all-cause mortality, recurrent AMI, acute heart failure, and stroke. Secondary outcomes included cardiac arrest and major bleeding. SGLT2i use was associated with lower rates of MACE (3.7% vs 6.1%; P = .0005), all-cause mortality (0.9% vs 5.6%; P < .0001), and other adverse events at both 30 days and 1 year. In this large, propensity-matched cohort, SGLT2i use post-AMI in HFpEF patients was associated with favorable cardiovascular outcomes. Further studies are needed to confirm these associations.

BACKGROUND: Thrombosis is a major complication after cardiac surgery in children with congenital heart disease. The mechanisms underlying thrombosis development remain poorly understood. We aimed to identify novel circulating metabolites before cardiac surgery that are associated with thrombosis after surgery in children with congenital heart disease. METHODS: In this prospective cohort study, all blood samples were drawn right before surgical incision and after the induction of anesthesia, and plasma was separated immediately under 4 °C. Untargeted metabolomic data were measured by Metabolon in plasma from children (age range, 0 days–18 years) with congenital heart disease undergoing cardiac surgery. The primary outcome was thrombosis within 30 days of surgery or before discharge. Associations of individual metabolites with thrombosis were assessed with logistic regression with false discovery rate correction for multiple comparison and adjustment for clinical characteristics; elastic net regression was used to select a prediction model. RESULTS: Out of 1115 metabolites measured in samples from 203 children, 776 met the quality control criteria. In total, 25 children (12.3%) developed thrombosis. Among the 776 metabolites, 175 were significantly associated with thrombosis (false discovery rate Q <0.05). The top 3 metabolites showing the strongest associations with thrombosis were eicosapentaenoate, stearidonate, and andro steroid monosulfate C 19 H 28 O 6 S (false discovery rate, 0.01 for all). Pathway analysis showed that the pathways of nicotinate and nicotinamide metabolism and glycerophospholipid metabolism were enriched (false discovery rate, 0.003 for both) and had significant impact on the development of thrombosis. In elastic net regression analysis, the area under the receiver operating-characteristic curve of a prediction model for thrombosis was 0.969 in the training sample (70% of the total sample) and 0.833 in the testing sample (the remaining 30%). CONCLUSIONS: We have identified promising novel metabolites and metabolic pathways associated with thrombosis. Future studies are warranted to confirm these findings and examine the mechanistic pathways to thrombosis.

Background: Risk for venous thromboembolism has a strong genetic component. Whole genome sequencing from the TOPMed program (Trans-Omics for Precision Medicine) allowed us to look for new associations, particularly rare variants missed by standard genome-wide association studies. Methods: The 3793 cases and 7834 controls (11.6% of cases were individuals of African, Hispanic/Latino, or Asian ancestry) were analyzed using a single variant approach and an aggregate gene-based approach using our primary filter (included only loss-of-function and missense variants predicted to be deleterious) and our secondary filter (included all missense variants). Results: Single variant analyses identified associations at 5 known loci. Aggregate gene-based analyses identified only PROC (odds ratio, 6.2 for carriers of rare variants; P =7.4×10 −14 ) when using our primary filter. Employing our secondary variant filter led to a smaller effect size at PROC (odds ratio, 3.8; P =1.6×10 −14 ), while excluding variants found only in rare isoforms led to a larger one (odds ratio, 7.5). Different filtering strategies improved the signal for 2 other known genes: PROS1 became significant (minimum P =1.8×10 −6 with the secondary filter), while SERPINC1 did not (minimum P =4.4×10 −5 with minor allele frequency <0.0005). Results were largely the same when restricting the analyses to include only unprovoked cases; however, one novel gene, MS4A1 , became significant ( P =4.4×10 −7 using all missense variants with minor allele frequency <0.0005). Conclusions: Here, we have demonstrated the importance of using multiple variant filtering strategies, as we detected additional genes when filtering variants based on their predicted deleteriousness, frequency, and presence on the most expressed isoforms. Our primary analyses did not identify new candidate loci; thus larger follow-up studies are needed to replicate the novel MS4A1 locus and to identify additional rare variation associated with venous thromboembolism.

Background: Venous thromboembolism (VTE) is a life-threatening vascular event with environmental and genetic determinants. Recent VTE genome-wide association studies (GWAS) meta-analyses involved nearly 30 000 VTE cases and identified up to 40 genetic loci associated with VTE risk, including loci not previously suspected to play a role in hemostasis. The aim of our research was to expand discovery of new genetic loci associated with VTE by using cross-ancestry genomic resources. Methods: We present new cross-ancestry meta-analyzed GWAS results involving up to 81 669 VTE cases from 30 studies, with replication of novel loci in independent populations and loci characterization through in silico genomic interrogations. Results: In our genetic discovery effort that included 55 330 participants with VTE (47 822 European, 6320 African, and 1188 Hispanic ancestry), we identified 48 novel associations, of which 34 were replicated after correction for multiple testing. In our combined discovery-replication analysis (81 669 VTE participants) and ancestry-stratified meta-analyses (European, African, and Hispanic), we identified another 44 novel associations, which are new candidate VTE-associated loci requiring replication. In total, across all GWAS meta-analyses, we identified 135 independent genomic loci significantly associated with VTE risk. A genetic risk score of the significantly associated loci in Europeans identified a 6-fold increase in risk for those in the top 1% of scores compared with those with average scores. We also identified 31 novel transcript associations in transcriptome-wide association studies and 8 novel candidate genes with protein quantitative-trait locus Mendelian randomization analyses. In silico interrogations of hemostasis and hematology traits and a large phenome-wide association analysis of the 135 GWAS loci provided insights to biological pathways contributing to VTE, with some loci contributing to VTE through well-characterized coagulation pathways and others providing new data on the role of hematology traits, particularly platelet function. Many of the replicated loci are outside of known or currently hypothesized pathways to thrombosis. Conclusions: Our cross-ancestry GWAS meta-analyses identified new loci associated with VTE. These findings highlight new pathways to thrombosis and provide novel molecules that may be useful in the development of improved antithrombosis treatments.

P-selectin is a cellular adhesion molecule that enhances procoagulant activity and activation of leukocyte integrins. P-selectin has been shown to be crucial in the development of atherosclerosis. Using a stratified random sample of 2406 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) at Exam 2, we investigated the association of soluble P-selectin and cardiovascular disease. The Tobit model was used to investigate the association of P-selectin levels and coronary artery calcium (CAC) and Cox proportional hazards regression was used to assess the association between protein level and incident cardiovascular disease (CVD) events (myocardial infarction, stroke, angina, or other atherosclerotic death). Mean levels of soluble P-selectin differed significantly by ethnicity; 46±18 ng/mL African Americans, 58±20 ng/mL Caucasians, 43±15 ng/mL Chinese, and 61±20 ng/mL Hispanics (p<0.0001). CAC was present in 46% of African Americans, 61% of Caucasians, 52% of Chinese, and 53% of Hispanics. P-selectin levels were significantly associated with CAC in Caucasians (p < 0.001) and African Americans (p = 0.025), see Table. This association was robust to adjustment for traditional risk factors and a significant interaction of P-selectin and ethnicity was observed (p= 0.02). Over an average of 6.5 years of follow-up there were 111 incident CVD events after MESA exam 2, 26 in African Americans, 33 in Caucasians, 16 in Chinese, and 36 in Hispanics. The risk of CVD events increased 34% per standard deviation increase in P-selectin levels only in Caucasians (p = 0.007) and this finding was consistent after adjustment for CVD risk factors (HR = 1.30, p = 0.017). We have shown in this large cohort that mean circulating P-selectin levels differed by ethnicity. Despite similar percentages of subjects with CAC in each ethnic group, P-selectin levels were significantly associated with CAC only in African Americans and Caucasians. Furthermore, in Caucasians only, P-selectin levels were associated with incident CVD events. Association of P-selectin, per SD (20 ng/mL) for the population and cardiovascular disease Outcome African Americans n = 579 Caucasians n = 620 Chinese n = 602 Hispanics n = 605 CAC, Agatston Score Beta (S.E.) P-value Beta (S.E.) P-value Beta (S.E.) P-value Beta (S.E.) P-value Model 1 85.9 (38.4) 0.025 99.4 (28.7) <0.001 8.2 (33.3) 0.81 32.1 (27.3) 0.24 Model 2 79.3 (39.8) 0.046 94.7 (29.1) 0.001 −19.5 (33.6) 0.56 27.8 (27.6) 0.31 CVD Events HR (CI) HR (CI) HR (CI) HR (CI) Model 1 1.08 (0.75, 1.57) 0.67 1.34 (1.08, 1.65) 0.007 1.09 (0.57, 2.08) 0.80 0.99 (0.71, 1.39) 0.97 Model 2 1.10 (0.76, 1.58) 0.61 1.30 (1.05, 1.62) 0.017 0.82 (0.38, 1.78) 0.62 1.00 (0.71, 1.43) 0.98 Model 1 = age and sex ; Model 2 = age, sex, BMI, smoking status, LDL, HDL, triglycerides, hypertension, diabetes

Incident hypertension varies across races/ethnicities. Mechanisms implicated in the pathogenesis are endothelial dysfunction with reduction of nitric oxide and alterations of the Renin-Angiotensin-Aldosterone System (RAAS). Stromal Derived Factor 1 (SDF1) and Transforming Growth Factor β1 (TGFβ1) are essential in these processes. SDF1 is a chemotactic protein that regulates migration of endothelial progenitor cells from the bone marrow to the arterial wall to repair endothelial damage; TGFβ1 promotes extra-cellular matrix deposition within arterial vessels, inhibits nitric oxide production and stimulates renin release. In order to investigate the association of circulating levels of these proteins with incident hypertension across different ethnicities, an ethnic stratified random sample of 2,880 participants from the Multi-Ethnic Study of Atherosclerosis (MESA) was used. Of those, 988 participants had available plasma samples and were without hypertension, defined as blood pressure ≥ 140/90 mmHg, or current use of antihypertensive medications, at baseline. During a median follow up of 8.5 years, 388 new cases of hypertension (101 in non-Hispanic whites, 94 in Chinese, 101 in African Americans and 92 in Hispanics) were observed. Time to hypertension incidence was estimated using Cox proportional hazards regression. Hazard Ratios were adjusted for age, sex, diabetes, LDL, HDL, triglycerides, BMI, smoking status and current alcohol use. The race/ethnicity by protein interaction p-values were 0.055 and 0.066 for TGFβ1 and SDF1 respectively, suggesting heterogeneity across races/ethnicities. In Chinese, a difference of one standard deviation of plasma TGFβ1 was associated with a 22% increase in incident hypertension (HR (95% CI) 1.22 (1.02, 1.47), p-value=0.03); and a difference of one standard deviation of plasma SDF1 was associated with a 31% decrease in incident hypertension (HR (95% CI) 0.69 (0.52, 0.91), p-value 0.008). No significant association was found between these proteins and incident hypertension among non-Hispanic whites, African or Hispanic Americans. In conclusion, soluble markers of endothelial integrity and of RAAS activation were associated with the incidence of hypertension among Chinese Americans. These results suggest heterogeneity in the pathophysiology of hypertension according to race/ethnicity.

L-selectin is an adhesion molecule constitutively expressed on leukocytes and mediating their interaction with the endothelium. As a member of the selectin family, it plays a crucial role in leukocyte adhesion to and migration through the endothelial wall during inflammation. A protective role of L-selectin in early atherosclerosis was demonstrated in animal models. Previous studies assessing the relationship of this protein with cardiovascular disease were inconsistent. Lower serum L-selectin levels were found in patients with coronary artery disease (CHD) and peripheral artery disease (PAD) compared to controls. In contrast, plasma levels of L-selectin were increased in patients with CHD and PAD. These inconsistencies might be due to an interaction of soluble L-selectin with clotting factors or anticoagulants present in plasma but not in serum. Also, the small number and Caucasian predominance of patients included in previous studies represent limitations that need to be addressed using a rigorous, population-based approach. Herein, we seek to investigate the association of serum L-selectin with subclinical outcomes in a large, ethnically heterogeneous population. In a randomly selected subset of 720 subjects for each of the four ethnicities included in the Multi-Ethnic Study of Atherosclerosis (MESA), serum samples were available for 2403 individuals (579 African Americans, 620 Caucasians, 600 Chinese and 604 Hispanics). Serum L-selectin levels and intima-media thickness (IMT) were measured at exam 2 and CAC was measured at exam 2 or 3 during the cohort follow up. Regression analysis and the Tobit model were used to assess the association of L-selectin levels with IMT and CAC respectively. The mean age was 63±10 years and 47% were men. The mean±SD protein levels were significantly different across ethnicities (867±192 ng/mL in African Americans, 956±215 ng/mL in Caucasians, 834±174 ng/mL in Chinese and 904±195 ng/mL in Hispanics; p<0.0001). In the univariate analysis, age was inversely correlated to the protein levels; in addition, levels were lower in males, regardless of ethnicity and in smokers, except among Hispanics. L-selectin was associated with modestly lower CAC only among Chinese (p=0.030), the association persisted after adjustment for traditional risk factors (p=0.046). No significant association was demontrated between the protein levels and IMT. In conclusion, in this large diverse population, we found that serum L-selectin was modestly associated to measures of subclinical atherosclerosis in Chinese but not in African, European or Hispanic Americans.

Pulse pressure (PP), defined as the difference between systolic and diastolic blood pressure, is considered a marker of large artery stiffness and has been shown to independently predict cardiovascular disease. Differences among ethnicities with regard to PP have been previously described, yet the underlying biological mechanisms are poorly understood. In addition, biomarkers of inflammation and matrix remodeling have been shown to be involved in the development of arterial stiffness. The aim of this study was to investigate the role of adhesion pathway components in the development of arterial stiffness measured by PP among four ethnicities. E-cadherin, HGF, L-selectin, P-selectin, 6-Ckine, MMP1, MMP2, RANTES, SDF1, SLPI, TGFβ1, TIMP2 and VCAM were measured in a random sample of 2402 participants (579 African Americans, 619 Caucasians, 600 Chinese and 604 Hispanics) in the Multi-Ethnic Study of Atherosclerosis (MESA) study at Exam 2. PP was measured concurrently and its association with each adhesion protein level was assessed via linear regression in each ethnicity. All analyses were adjusted for age, sex, and traditional cardiovascular risk factors. Mean PP was significantly different among ethnicities: 55.9±18.0 mmHg in African Americans, 52.1± 16.1 mmHg in Caucasians, 51.4±16.4 mmHg in Chinese, and 55.0±17.5 in Hispanics, p<0.001. MMP2 was positively associated with PP among African Americans (β=2.3 (0.6), p<0.001) and Caucasians (β=1.7 (0.5), p=0.001); TIMP2 among Caucasians (β=1.5 (0.5), p=0.002) and to a lesser extent among African Americans (β=1.2 (0.6) p=0.050) and Chinese (β=1.3 (0.6), p=0.034). SDF1 was associated to PP in African Americans (β=1.4 (0.6), p=0.017) and in Chinese (β=1.1 (0.5), p=0.042); finally an association existed between TGFβ1 and PP in C (β=1.1 (0.5), p=0.025). None of the studied proteins was associated with PP in Hispanics. In conclusion, components of the adhesion pathway were correlated to PP in this large multi-ethnic cohort, possibly giving new insight on the pathophysiology of arterial stiffness. In addition, heterogeneity by ethnicity suggests different mechanisms in the development of arterial stiffness.

Background: The Trans-Omics for Precision Medicine (TOPMed) program is performing whole-genome sequencing across multiple studies, including longitudinal cohorts, case-control, and case-only sample sets. Detecting the effects of low frequency variants requires large sample sizes, which can only be achieved by combining data across diverse study designs, including matching of case-only sample sets with controls from other studies. Here we present a strategy for combined analysis of venous thromboembolism (VTE) case status in 3 longitudinal cohorts and 3 case-only sample sets, in the context of whole-genome association studies. Methods: For each cohort study, we sampled ‘pure’ controls (without replacement) from the risk set of each incident case, within strata defined by sex, ancestry and birth-cohort. Pure controls had no event throughout their period of observation. A case’s risk set was defined as controls with no prior VTE history and under observation through an age at least as old as the case. For case-only sample sets, controls for each case were sampled from a cohort study, using the same risk set definition. Because of limited overlap in birth years between the cohort studies and the case-only sample sets, this matching was done within strata defined only by sex and ancestry group. Mixed model logistic regression will be used to account for relatedness as a random effect. Although conditional logistic regression is not practical for whole-genome association studies, case-control matching is implicitly recognized by a fixed effect for age-at-event for each matched set (1 case and >=1 matched controls). Additional fixed effects will include sample set and sex. We will also adjust for variations in case-control ratio among the matched sets. Results: In two cohort studies, we matched 1,231 cases to 4,820 controls (overall ratio = 1:3.9); only 500 controls and 5 cases could not be matched. For the case-only sample sets we matched 2,141 cases to 2,780 controls from one cohort study (overall ratio = 1:1.3); zero controls and only 14 cases could not be matched. Conclusions: We were successfully able to match nearly all cases to controls, and more than 90% of controls were also matched. By matching controls to cases based on age at event, we can account for the different risk of VTE by age clusters. Although this strategy does not provide an asymptotically unbiased estimated of the hazard ratio, compared to classical risk set sampling, it uses a large portion of the available data, it provides odds ratio estimates yielding the correct sign of association, and it reduces the potential influence of resampling subjects with rare variants. This strategy also enables combined analysis of multiple studies with different designs.