Many physiological processes, including metabolism and immune defense, follow circadian rhythms regulated by internal clocks. Myeloid cells - key players in immunothrombosis - exhibit circadian fluctuations in phenotype, frequency, and distribution in both humans and mice. Similarly, many proteins involved in coagulation and the complement system are produced in the liver and follow hepatic circadian rhythms. This indicates that critical cellular as well as molecular elements of immunothrombosis and thromboinflammation are under circadian control. Concomitantly, our preliminary studies using a murine endotoxemia model revealed time-of-day-dependent variations in disease outcomes, platelet-leukocyte interactions, and the neutrophil proteome, all aligning with diurnal patterns of thromboinflammatory activity. Based on this, we hypothesize that:
Immunothrombotic and thromboinflammatory responses vary with time of day: These variations are driven by circadian changes in immune cell–platelet interactions and systemic regulation via liver-derived factors. Uncovering these mechanisms could yield new pathophysiological insights and treatment strategies.
To test these hypotheses, we propose three main research aims: Aim 1: We will study circadian effects in murine disease models by conducting experiments at different Zeitgeber times (ZTs). For protective immunothrombosis, we will use an E. coli bacteremia (ECB) model, where innate immunity and platelets cooperate to limit bacterial spread. We will assess thrombus formation, leukocyte and platelet recruitment, extent of tissue damage, and systemic inflammation. For harmful thromboinflammation, we will use a vena cava stenosis model, inducing deep vein thrombosis (DVT)) in mice, measuring thrombus progression via ultrasound, and assessing histology and systemic coagulation/inflammation markers. Both models will be complemented with in vitro analyses of platelet, immune cell, and coagulation as well as complement function across time points. Aim 2: We will explore the molecular drivers of circadian regulation at the inflammation-coagulation interface. This includes phosphoproteomic and proteomic profiling of sorted neutrophils, monocytes, platelets, and hepatocytes from the disease models. Bioinformatic data integration will identify key circadian regulatory pathways and map molecular interdependencies. We aim to distinguish between the circadian regulation of sterile thromboinflammation and infection-triggered immunothrombosis. Based on promising findings, we will evaluate time-of-day-tailored interventions using anticoagulants, anti-complement therapies, and inhibitors of platelet–immune cell interactions during high-risk time windows. We will also validate key pathways in patient cohorts with DVT or gram-negative sepsis to enhance translational relevance. Aim 3: Using conditional knockout models, we will assess the role of systemic and tissue-specific circadian clocks in thromboinflammation. These include globally arrhythmic mice (Cry1/Cry2KO) and cell-specific BMAL1flox knockouts in the platelet lineage (Gp1bCre), myeloid cells (LysMCre), and hepatocytes (AlbuminCre). These models will be analyzed within the established DVT and ECB frameworks.