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Carlo Rostagno,1,2 Giulio Maria Mannarino,2 Alessandro Cartei,2 Gaia Rubbieri,2 Alice Ceccofiglio,2 Anna Maria Gori,1– 4 Roberto Civinini,3 Rossella Marcucci1– 4 1Dipartimento Medicina sperimentale e clinica, Università di Firenze, Firenze, Italy; 2Medicina Interna e Post-Chirurgica, AOU Careggi, Firenze, Italy; 3Traumatologia e Ortopedia, AOU Careggi, Firenze, Italy; 4Malattie aterotrombotiche, AOU Careggi, Firenze, ItalyCorrespondence: Carlo Rostagno, Asssociate Professor of Department of Experimental and Clinical Medicine, University of Florence, Largo Brambilla 3, Florence, 50134, Italy, Email carlo.rostagno@unifi.itPurpose: Aim of the present study was to evaluate whether monitoring direct oral anticoagulant (DOAC) levels may improve management of anticoagulated patients who need surgery for hip fracture.Patients and Methods: A total of 147 out of 2231 (7.7%) patients with hip fracture admitted to a tertiary teaching hospital were on DOACs (group A), whereas 206 patients matched for age, sex, and type of fracture not on anticoagulant or P2Y12 platelet inhibitors were considered as control group (group B). Patients on DOACs were divided into two subgroups: A1 in which intervention was scheduled in relation to the last drug intake according to current guidelines, and A2 included patients in whom time of surgery (TTS) was defined according to DOAC levels. Neuraxial anesthesia was considered with DOAC levels < 30 ng/mL, general anesthesia for levels in the range 30– 50 ng/mL.Results and conclusions: TTS was significantly lower in controls than in DOAC patients: surgery within 48 hours was performed in 80.6% of group B versus 51% in group A (p< 0.0001). In A2, 41 patients underwent surgery within 48 hours (56%) in comparison to 32 A1 patients (45.1%; p=0.03). TTS and length of hospitalization were on average 1 day lower in patients with assay of DOAC levels. Finally, 35/39 (89%) patients with DOAC levels < 50 ng/mL had surgery within 48 hours (26 und

This study defines and estimates the metabolite-lipidic component association networks constructed from an array of 20 metabolites and 114 lipids identified and quantified via NMR spectroscopy in the serum of a cohort of 355 Italian nonagenarians and ultra-nonagenarian. Metabolite-lipid association networks were built for men and women and related to an array of 101 clinical and biochemical parameters, including the presence of diseases, bio-humoral parameters, familiarity diseases, drugs treatments, and risk factors. Different connectivity patterns were observed in lipids, branched chains amino acids, alanine, and ketone bodies, suggesting their association with the sex-related and sex-clinical condition-related intrinsic metabolic changes. Furthermore, our results demonstrate, using a holistic system biology approach, that the characterization of metabolic structures and their dynamic inter-connections is a promising tool to shed light on the dimorphic pathophysiological mechanisms of aging at the molecular level.

Here, we present an integrated multivariate, univariate, network reconstruction and differential analysis of metabolite-metabolite and metabolite-lipid association networks built from an array of 18 serum metabolites and 110 lipids identified and quantified through nuclear magnetic resonance spectroscopy in a cohort of 248 patients, of which 22 died and 82 developed a poor functional outcome within 3 months from acute ischemic stroke (AIS) treated with intravenous recombinant tissue plasminogen activator. We explored differences in metabolite and lipid connectivity of patients who did not develop a poor outcome and who survived the ischemic stroke from the related opposite conditions. We report statistically significant differences in the connectivity patterns of both low- and high-molecular-weight metabolites, implying underlying variations in the metabolic pathway involving leucine, glycine, glutamine, tyrosine, phenylalanine, citric, lactic, and acetic acids, ketone bodies, and different lipids, thus characterizing patients' outcomes. Our results evidence the promising and powerful role of the metabolite-metabolite and metabolite-lipid association networks in investigating molecular mechanisms underlying AIS patient's outcome.

We present here the differential analysis of metabolite-metabolite association networks constructed from an array of 24 serum metabolites identified and quantified via nuclear magnetic resonance spectroscopy in a cohort of 825 patients of which 123 died within 2 years from acute myocardial infarction (AMI). We investigated differences in metabolite connectivity of patients who survived, at 2 years, the AMI event, and we characterized metabolite-metabolite association networks specific to high and low risks of death according to four different risk parameters, namely, acute coronary syndrome classification, Killip, Global Registry of Acute Coronary Events risk score, and metabolomics NOESY RF risk score. We show significant differences in the connectivity patterns of several low-molecular-weight molecules, implying variations in the regulation of several metabolic pathways regarding branched-chain amino acids, alanine, creatinine, mannose, ketone bodies, and energetic metabolism. Our results demonstrate that the characterization of metabolite-metabolite association networks is a promising and powerful tool to investigate AMI patients according to their outcomes at a molecular level.

Betti Giusti, Anna Maria Gori, Rossella Marcucci, Claudia Saracini, Anna Vestrini, Rosanna AbbateDepartment of Medical and Surgical Critical Care, University of Florence, SOD Atherothrombotic Diseases, AOU Careggi, Florence, ItalyAbstract: The inhibition of platelet function by antiplatelet therapy determines the improvement of the survival of patients with clinically evident cardiovascular disease. Clopidogrel in combination with aspirin is the recommended standard of care for reducing the occurrence of cardiovascular events in patients with acute coronary syndromes undergoing percutaneous coronary intervention. However, major adverse cardiovascular events including stent thrombosis occur in patients taking clopidogrel and aspirin. A growing body of evidence demonstrates that high post-treatment platelet reactivity on antiplatelet treatment is associated with increased risk of adverse clinical events. Clopidogrel requires conversion to active metabolite by cytochrome P450 isoenzymes. The active metabolite inhibits ADP-stimulated platelet activation by irreversibly binding to P2Y12 receptors. Recently, the loss-of-function CYP2C19*2 allele has been associated with decreased metabolization of clopidogrel, poor antiaggregant effect, and increased cardiovascular events. In high risk vascular patients, the CYP2C19*2 polymorphism is a strong predictor of adverse cardiovascular events and particularly of stent thrombosis. Prospective studies evaluating if an antiplatelet treatment tailored on individual characteristics of patients, CYP2C19*2 genotypes, platelet phenotype, drug–drug interaction, as well as traditional and procedural risk factors, are now urgently needed for the identification of therapeutic strategies providing the best benefit for the single subject.Keywords: antiplatelet therapy, clopidogrel, cytochrome P450 2C19 loss-of-function polymorphism, major adverse cardiovascular events, percutaneous coronary interventions