Faculty Bibliography

BACKGROUNDPlatelets are increasingly recognized as active participants in immune signaling and systemic inflammation. Upon activation, platelets form monocyte platelet aggregates (MPA) representing the crossroads of thrombosis and inflammation. We hypothesized that platelet transcriptomics could capture this thromboinflammatory axis and identify individuals at elevated cardiovascular risk.METHODS: MPA levels, defined as CD14+CD61+ cells, were measured using flow cytometry at 2 time points, 4 weeks apart, in healthy individualsPlatelets were isolated and sequenced. Individuals were categorized as MPAhi or MPAlo based on consistently high or low MPA levels across time points.RESULTSAmong 149 participants (median age 52 years, 57% female, 50% non-White), MPAhi individuals exhibited increased expression of platelet activation markers P-selectin (P < 0.001), PAC-1 (P = 0.021), and CD40L (P < 0.001) and enriched immune signaling pathways. Informed by MPA levels and derived from the platelet transcriptome, we developed a 42-gene thromboinflammation platelet signature (TIPS), which correlated with MPA levels in multiple cohorts and was reproducible over time. TIPS was elevated in patients with COVID-19 (P = 0.0002) and myocardial infarction (Padj = 0.008), and as in predicted future cardiovascular events in patients who underwent lower extremity revascularization after a median follow-up of 18 months (adjusted for age, sex, race, and ethnicity [adjHR] 1.55, P = 0.006). Notably, TIPS was modifiable by ticagrelor (P = 0.002) but not aspirin.CONCLUSIONThese findings establish MPA as a biomarker of thromboinflammation and introduce TIPS, a platelet RNA signature, that captures thromboinflammation and provides a promising tool for cardiovascular risk stratification and a potential therapeutic target.TRIAL REGISTRATIONNCT04369664FUNDINGNIH R35HL144993, NIH R01HL139909, and AHA 16SFRN2873002 to JSB, DFG Walter-Benjamin-Programme 537070747 to AB.

Cardiometabolic risk factors, obesity, diabetes and hyperlipidemia contribute to cardiovascular disease (CVD). While platelets are involved in CVD pathogenesis, the relationship between risk factor burden on platelet indices and the platelet transcriptome remains uncertain. Blood was collected from CVD-free adults, measuring platelet count, mean platelet volume (MPV), immature platelet fraction (IPF), and absolute immature platelet fraction (AIPF) by hemogram. Platelets were isolated and analyzed via RNA sequencing. Participants were stratified by number of cardiometabolic risk factors (diabetes, obesity, hyperlipidemia). We calculated median (IQR) values of platelet indices and p-for-trend via linear regression across risk factor burden. To evaluate the association between risk factor burden and platelet transcripts, we performed multivariable linear regression adjusting for age, sex, and race/ethnicity. Among 141 participants, (50.5 ± 14.8 years, 42% male, 26% Black) risk factor burden was associated with increasing platelet size, IPF, and AIPF but not platelet count. Platelet RNA sequencing identified 100 differentially expressed transcripts (p < .01; 66 upregulated, 34 downregulated). Gene ontology enrichment analysis demonstrated upregulated pathways of secondary metabolic processes (NES = 1.96, p < .01), and hematopoietic stem cell proliferation (NES = 1.95, p < .01). Greater cardiometabolic risk factor burden is associated with increased platelet size and immaturity and suggesting novel platelet-mediated mechanisms linking risk factor burden with CVD.

Patients with myeloproliferative neoplasms (MPNs), including polycythemia vera (PV), essential thrombocythemia (ET), and myelofibrosis (MF), are at increased risk of atherosclerosis, including peripheral arterial disease (PAD). Critical limb ischemia (CLI) may complicate PAD and is associated with significant mortality and morbidity. Despite the increased risk of thrombosis with MPN, outcomes of CLI in MPN patients are unclear. We conducted an analysis utilizing the 2017-2020 National Readmission Database (NRD) of patients hospitalized for CLI with and without MPN. Patients with MPN were propensity score matched (PSM) with patients without MPN. Primary outcome was composite outcome of major adverse cardiovascular and limb events (MACLE). Logistic regression was utilized to estimate risk of MACLE in patients with MPN vs. without MPN. Inverse-probability treatment weighted (IPTW) analysis was performed to evaluate the effect of revascularization on MACLE in patients with MPN. A total of 102,598 patients were included, 931 (0.9%) had MPN. After PSM, MPN was associated with increased risk of MACLE (47.3% vs. 39.1%; OR 1.40, 95% CI 1.21-1.62). After IPTW, revascularization was associated with decreased risk of MACLE among patients with MPN (45.0% vs. 50.7%; OR 0.80, 95% CI 0.66-0.96). Among patients admitted with CLI, MPN was associated with increased risk of MACLE especially ET and MF phenotypes. Revascularization was associated with decreased risk of MACLE among patients with MPN. Further investigation is needed in order to improve outcomes in patients with MPN and CLI.

BACKGROUND AND OBJECTIVES/OBJECTIVE:Vascular dysfunction contributes to Alzheimer disease (AD) and related dementias (ADRDs), but the underlying mechanisms remain unclear. Previous studies link midlife hemostasis and platelet aggregation measures to late-life dementia risk. We aimed to determine whether platelet aggregation in midlife is associated with imaging markers of AD pathology. METHODS:F-flortaucipir) PET uptake in dementia-free, middle-aged adults from the Framingham Heart Study. Co-primary outcomes included amyloid and tau uptake in AD-vulnerable regions. We also examined an MRI-based cortical thickness signature of AD risk as a secondary outcome. We used multivariable regression models adjusted for demographic and clinical factors, considering potential nonlinear associations. RESULTS:< 0.035), consistent with a neurodegenerative pattern. DISCUSSION/CONCLUSIONS:Our findings indicate that platelet aggregation is linked to PET and MRI markers of AD pathology as early as midlife. These findings support further investigation of platelet-mediated mechanisms in AD pathogenesis.

Coronary endothelial dysfunction plays a key role in the pathogenesis of acute coronary syndromes. During myocardial infarction (MI), activated platelets release prothrombotic and proinflammatory factors, contributing to vascular injury and dysfunction. To investigate platelet-mediated endothelial dysfunction, endothelial cells (ECs) were treated with platelet-released factors from patients with MI and non-MI controls undergoing coronary angiography. RNA sequencing revealed that MI platelets induced EC mitochondrial dysfunction, confirmed by reduced mitochondrial membrane potential and disrupted mitochondrial networks. Integrating platelet transcriptomic data, we identified the C-C motif chemokine ligand 3 (CCL3) as significantly up-regulated in MI platelets and a key mediator of EC mitochondrial dysfunction. Blocking its receptor, CCR5, attenuated CCL3 effects. In an independent cohort of 261 patients with established cardiovascular disease, higher circulating CCL3 levels were associated with incident major adverse cardiovascular events. Together, these findings establish a mechanistic link between platelet activation and coronary endothelial dysfunction in MI.

Systemic lupus erythematosus (SLE) is a complex autoimmune disease with an increased risk of vascular dysfunction and cardiovascular disease. We validate our previously developed Systemic Lupus Erythematosus Activity Platelet-Gene Expression Signature (SLAP-GES) score and investigate its relationship with platelet activity and vascular health. SLAP-GES was associated with the SLE Disease Activity Index (Padj < 0.001) and consistent over time (r = 0.76; P = 9 × 10^-5). Moreover, SLAP-GES was associated increased platelet aggregation in response to submaximal epinephrine (P = 0.084), leukocyte platelet aggregates (P = 0.014), and neutrophil platelet aggregates (P = 0.043). SLAP-GES was also associated with impaired glycocalyx (P = 0.011) and brachial artery flow-mediated dilation (P = 0.045). Altogether, SLAP-GES is associated with SLE disease activity, platelet activity, and impaired vascular health.

Insulin resistance impairs benefits of lipid-lowering treatment as evidenced by higher cardiovascular risk in individuals with type 2 diabetes versus those without. Because platelet activity is higher in insulin-resistant patients and promotes atherosclerosis progression, we questioned whether platelets impair inflammation resolution in plaques during lipid-lowering. In mice with obesity and insulin resistance, we induced advanced plaques, then implemented lipid-lowering to promote atherosclerotic plaque inflammation-resolution. Concurrently, mice were treated with either platelet-depleting or control antibodies for 3 weeks. Platelet activation and insulin resistance were unaffected by lipid-lowering. Both antibody-treated groups showed reduced plaque macrophages, but plaque cellular and structural composition differed. In platelet-depleted mice, scRNA seq revealed dampened inflammatory gene expression in plaque macrophages and an expansion of a subset of Fcgr4+ macrophages having features of inflammation-resolving, phagocytic cells. Necrotic core size was smaller and collagen content greater, resembling stable human plaques. Consistent with the mouse results, clinical data showed that patients with lower platelet counts had decreased pro-inflammatory signaling pathways in circulating non-classical monocytes after lipid-lowering. These findings highlight that platelets hinder inflammation-resolution in atherosclerosis during lipid-lowering treatment. Identifying novel platelet-targeted therapies following lipid-lowering treatment in individuals with insulin resistance may be a promising therapeutic approach to promote atherosclerotic plaque inflammation-resolution.

BACKGROUND:Coronary microvascular dysfunction (CMD) is present in approximately 40% of patients with ischemia with no obstructive coronary arteries (INOCA) and has been associated with inflammation. We investigated associations between measures of inflammation of the coronary perivascular adipose tissue assessed by coronary computed tomography angiography (CCTA) and results of invasive coronary function testing (CFT) to diagnose CMD. METHODS:Adults referred for clinically indicated invasive coronary angiography who had less than 50% stenosis in all epicardial arteries were prospectively enrolled. CMD was defined as a coronary flow reserve (CFR) less than 2.5 or index of microvascular resistance (IMR) greater than or equal to 25 using bolus thermodilution in the left anterior descending (LAD) coronary artery. Coronary perivascular fat attenuation index was assessed by CCTA in the right coronary artery (RCA) and LAD. T tests were used to evaluate differences in perivascular FAI by CMD status. RESULTS:A total of 31 participants underwent CFT and CCTA. The mean age was 58 ± 11.7 years, 77% were female, and 61% were white. CMD was present in 15 participants (48%). No differences in perivascular FAI were observed in patients with and without CMD, either in the RCA [-74.2 ± 9.8 vs. -69.9 ± 10.3 Hounsfield units (HU), P = 0.24] or LAD (-76.4 ± 10.2 vs. -74.8 ± 12.7 HU, P = 0.69). Perivascular FAI was not correlated with CFR or IMR measurements in the RCA or LAD. CONCLUSION/CONCLUSIONS:There were no associations between CMD diagnosed by invasive CFT and perivascular FAI by CCTA in patients with INOCA. Further research is needed to understand the relationship between vascular inflammation and CMD in INOCA.

BACKGROUND/UNASSIGNED:compared with the conventional index of microcirculatory resistance (IMR) in a cohort of individuals with INOCA. METHODS/UNASSIGNED:was calculated retrospectively, blinded to CFT results. CMD was defined by IMR ≥25 or CFR <2.5. RESULTS/UNASSIGNED:and IMR. CONCLUSIONS/UNASSIGNED:appears unreliable for identifying CMD in patients with INOCA.

BACKGROUND:Abdominal computed tomography (CT) is commonly performed in adults. Abdominal aortic calcification (AAC) can be visualized and quantified using artificial intelligence (AI) on CTs performed for other clinical purposes (opportunistic CT). We sought to investigate the value of AI-enabled AAC quantification as a predictor of coronary artery disease and its association with cardiovascular events. METHODS:A fully automated AI algorithm to quantify AAC from the diaphragm to aortic bifurcation using the Agatston score was retrospectively applied to a cohort of patient that underwent both non-contrast abdominal CT for routine clinical care and cardiac CT for coronary artery calcification (CAC) assessment. Subjects were followed for a median of 36 months for major adverse cardiovascular events (MACE, composite of death, myocardial infarction [MI], ischemic stroke, coronary revascularization) and major coronary events (MCE, MI or coronary revascularization). RESULTS:Our cohort included 3599 patients (median age 60 years, 62% male, 74% white) with an evaluable abdominal and cardiac CT. There was a positive correlation between presence and severity of AAC and CAC (r=0.56, P<0.001). AAC showed excellent discriminatory power for detecting or ruling out any CAC (AUC for PREVENT risk score 0.701 [0.683 to 0.718]; AUC for PREVENT plus AAC 0.782 [0.767 to 0.797]; P<0.001). There were 324 MACE, of which 246 were MCE. Following adjustment for the 10-year cardiovascular disease PREVENT score, the presence of AAC was associated with a significant risk of MACE (adjHR 2.26, 95% CI 1.67-3.07, P<0.001) and MCE (adjHR 2.58, 95% CI 1.80-3.71, P<0.001). A doubling of the AAC score resulted in an 11% increase in the risk of MACE and a 13% increase in the risk of MCE. CONCLUSIONS:Using opportunistic abdominal CTs, assessment of AAC using a fully automated AI algorithm, predicted CAC and was independently associated with cardiovascular events. These data support the use of opportunistic imaging for cardiovascular risk assessment. Future studies should investigate whether opportunistic imaging can help guide appropriate cardiovascular prevention strategies.