population.EAT volume was independently associated with CAC. As it may play a role in coronary atherosclerosis in patients with diabetes, reducing EAT volume through physical exercise, improved diet and pharmaceutical interventions may improve future cardiovascular risk outcomes in this population. The aim of this study is to evaluate the possibility of the autologous platelet-rich plasma (PRP) collection from the cardiopulmonary bypass (CPB) circuit and to evaluate its effect on the aggregative function. For seventy-two patients undergoing cardiac surgery with CPB, an autologous PRP was prepared using the Haemonetics Component Collection System® by drawing blood from the CPB circuit immediately after CPB was established. The blood samples were taken at three points for examination, A beginning of surgery, B immediately after heparin reversal with protamine following discontinuation of CPB, C after the collected autologous PRP was returned to the patient. Platelet count and platelet aggregation ability were analyzed. The mean platelet count in autologous PRP was 5.5 (range 3-14) units. Platelet count decreased by 115.0 (±27.3) × 1000/μl from A to B and increased by 27.3 ± 17.2 (× 1000/μl) from B to C. When platelet aggregation was measured by Adenosine Diphosphate (ADP) 3.0 μM, it decreased by 42.6% ± 12.1% from A to B and increased by 8.7% ± 7.4% from B to C. Autologous PRP can be safely collected by drawing blood from the CPB circuit, platelet count and aggregation ability significantly decreased after CPB including autologous PRP collection. Some improvement was detected in the number of the platelets count and platelet aggregation ability by administrating an autologous PRP even if autologous PRP is collected from CPB circuit. UMI-CTR, UMIN000023776 . Registered 1 October 2016.UMI-CTR, UMIN000023776 . Registered 1 October 2016. There is still lack of data on deep vein thrombosis (DVT) following bone trauma. This study aimed to determine the epidemiologic characteristics of deep venous thrombosis (DVT) of lower extremities following tibial plateau fractures. Retrospective analysis of prospectively collected data on patients presenting with tibial plateau fractures between October 2014 and December 2018 was conducted. Duplex ultrasonography (DUS) was routinely used to screen for preoperative DVT of bilateral lower extremities. Data on demographics, comorbidities, injury-related data, and laboratory biomarkers at admission were collected. Univariate analyses and multivariate logistic regression analyses were used to identify the independent risk factors associated with DVT. A total of 1179 patients were included, among whom 192 (16.3%) had a preoperative DVT, with incidence rate of 1.0% for proximal and 15.3% for distal DVT. The average interval between fracture occurrence and diagnosis of DVT was 3.5 days (median, 2 days), ranging from 0 to 19 days. DVT involved the injured extremity in 166 (86.4%) patients, both the injured and uninjured extremities in 14 patients (7.3%) and only the uninjured extremity in 12 patients (6.3%). Six risk factors were identified to be associated with DVT, including gender (male vs female), hypertension, open fracture, alkaline phosphatase > 100 u/L, sodium concentration < 135 mmol/L, and D-dimer > 0.5 mg/L. These epidemiologic data are conducive to the individualized assessment, risk stratification, and development of targeted prevention programs.These epidemiologic data are conducive to the individualized assessment, risk stratification, and development of targeted prevention programs. Olfactory receptors (ORs) constitute a large family of sensory proteins that enable us to recognize a wide range of chemical volatiles in the environment. By contrast to the extensive information about human olfactory thresholds for thousands of odorants, studies of the genetic influence on olfaction are limited to a few examples. To annotate on a broad scale the impact of mutations at the structural level, here we analyzed a compendium of 119,069 natural variants in human ORs collected from the public domain. OR mutations were categorized depending on their genomic and protein contexts, as well as their frequency of occurrence in several human populations. Functional interpretation of the natural changes was estimated from the increasing knowledge of the structure and function of the G protein-coupled receptor (GPCR) family, to which ORs belong. Our analysis reveals an extraordinary diversity of natural variations in the olfactory gene repertoire between individuals and populations, with a significant nuological annotations and population analysis of natural variants of human olfactory receptors and provide an interactive application to explore human OR mutation data. We envisage that the utility of this information will increase as the amount of available pharmacological data for these receptors grow. This effort, together with ongoing research in the study of genetic changes in other sensory receptors could shape an emerging sensegenomics field of knowledge, which should be considered by food and cosmetic consumer product manufacturers for the benefit of the general population. Pancreatic cancer is one of the most common malignant tumors of the digestive tract, and it has a poor prognosis. Traditional methods are not effective to accurately assess the prognosis of patients with pancreatic cancer. Bobcat339 Immunotherapy is a new promising approach for the treatment of pancreatic cancer; however, some patients do not respond well to immunotherapy, which may be related to tumor microenvironment regulation. In this study, we use gene expression database to mine important immune genes and establish a prognostic prediction model for pancreatic cancer patients. We hope to provide a feasible method to evaluate the prognosis of pancreatic cancer and provide valuable targets for pancreatic cancer immunotherapy. We used univariate COX proportional hazard regression analysis, the least absolute shrinkage and selection operator, and multivariate COX regression analysis to screen 8 genes related to prognosis from the 314 immune-related genes, and used them to construct a new clinical prediction model in the TCGA pancreatic cancer cohort.