View clinical trials related to Biomarkers.
Filter by:Effect of single dose & intrapocket prophylactic antibiotic to cardiac implantable electronic device-related infection & biomarkers
Around 10% of patients with myocardial infarction (MI) present with nonobstructive coronary arteries (MINOCA) which pathophysiology is often uncertain. The aim of the study is to evaluate inflammation and endothelial dysfunction biomarkers in MINOCA patients during both acute and stable phases, comparing them with those with MI and obstructive coronary arteries (MICAD).
The purpose of this study is to understand how college students' biomarkers change with a relatively short bout of moderate-intensity physical activity. The investigators are comparing biomarkers in between self-reported physically active and sedentary students in terms of their percent difference and change. The investigators are also studying physically active versus sedentary college students' mental health. This is a mentored student research project in the investigator's lab (not part of a thesis, dissertation, or other coursework requirements), where multiple students have developed research questions using the same study design.
Infants with congenital heart disease (CHD) are at increased risk for delayed neurodevelopment. Multiple etiological explanations have been proposed, as there seems to be a multifactorial interplay of both prenatal and perioperative factors. The main goal of this research project is to focus on peri-operative physiological risk factors in infants with CHD which impair functional brain maturation or elicit brain injury, and subsequently creating a risk model and guidelines for standardized developmental follow-up in this population. PART 1: investigation of cerebral autoregulation and neurovascular coupling The homeostasis in cerebral blood supply regardless of perfusion pressure, is called Cerebral autoregulation (CAR). Neurovascular coupling (NVC) is the phenomenon in which blood supply increases as a result of increased brain activity in a specific area. At different times in the perioperative phase, these regulatory mechanisms will be estimated based on Electroencephalography (EEG) and Near Infrared Spectroscopy (NIRS), in addition to hemodynamic parameters. PART 2: cell-free DNA (cfDNA) extraction. Non-invasive monitoring of neuronal degeneration can be performed using cfDNA extraction techniques. Serial measurements of neuronal cfDNA will be used to determine whether and when this neuronal damage has occurred. PART 3: Prognosis and outcome. These risk factors, supplemented with demographic factors and medications administered, will be combined in an Artificial Intelligence-driven model, thus establishing a risk model for neurodevelopmental outcome. This model will be compared to the current standard-of-care, both structural imaging (ultrasound and MRI) and a clinical developmental assessment at 9 and 24 months of age (Bayley Scales of Infant Development-III).
Objective: The main aim of this cross-sectional clinical study is to evaluate the predictive ability of a panel of salivary biomarkers in determining periodontal health status. Material and methods: In this observational, cross-sectional study patients attending consecutively to the Periodontal Postgraduate Clinic at the University Complutense of Madrid. The participants will be categorized into different periodontal health status groups based on the 2018 classification of periodontal diseases, including periodontally healthy, gingivitis, treated periodontitis (stable/unstable), and various stages of periodontitis. During the screening visit, participants will undergo a comprehensive medical examination to gather relevant health information, including age, gender, weight, height, waist circumference, and drug, alcohol, and smoking history. Additionally, clinical assessments, saliva samples and microbiological parameters will be recorded. A convenience sample of 100 subjects will be recruited for this pilot study with the objective to generate data for the multivariate predictive analysis. Data analyses: Descriptive statistics will be used to report the clinical variables and patients will be grouped according to the pre-established diagnostic categories (periodontally healthy, gingivitis, treated periodontitis patient. In order to determine the possible statistical relationship with the medical, biochemical and microbiological variables assessed, a crude bivariate analysis will first be performed by applying a mean comparison test for quantitative variables (ANOVA) and a proportion comparison test for categorical variables (Chi-square). Subsequently, those variables identified as relevant in the crude analyses will be included as confounding and/or interaction factors in a binary logistic regression model, considering the presence of periodontitis as a response variable, in order to obtain crude and adjusted OR values, together with their corresponding 95% CIs. Based on the results obtained in the biomarker analysis, a relevant statistical analysis will be performed, taking into account all the variables collected in the study
The study's objective is to evaluate the additive value of renal biomarkers (from blood and urine) for identifying individuals at high risk for severe acute kidney injury (AKI) above that of a novel natural language processing (NLP)-based AKI risk algorithm. The risk algorithm is based on electronic health records (EHR) data (labs, vitals, clinical notes, and test reports). Patients will enroll at the University of Chicago Medical Center and the University of Wisconsin Hospital, where the risk score will run in real time. The risk score will identify those patients with the highest risk for the future development of Stage 2 AKI and collect blood and urine for biomarker measurement over the subsequent 3 days.
Dental implants have been on the market for several years and they are routinely used to replace single/multiple missing teeth with a high success rate. However, there is still a limited number of studies comparing hydrophilic titanium and zirconia implants. In addition, there is no data available on the signalling pathways and the expression of healing biomarkers involved in the early stages of osseointegration around zirconia surface implants placed with guided bone regeneration (GBR). This study aims 1) to describe and compare the early wound healing molecular pathways, and the 2) vascularization patterns of mucosal tissues after the placement of hydrophilic titanium or zirconia implants with simultaneous guided bone regeneration (GBR). In this study, the investigators will assess the expression of inflammatory, angiogenesis and osseous biomarkers of PICF at 3, 7, 15 and 30 days after the placement of hydrophilic titanium or zirconia dental implants with simultaneous GBR and of saliva at day 1, 3, 7, 15 and 30.
To explore the predictive and diagnostic role of biomarkers in patients with neurological diseases.
Head and neck squamous cell carcinoma (HNSCC) are malignant tumors originating from the epithelial mucosa of the upper aerodigestive tract. The oral cavity is the most frequent location of HNSCC (oral squamous cell carcinoma: OSCC). Tobacco use and alcohol consumption are the greatest risk factors. The Hauts de France region has one of the highest incidence rates of OSCC. The overall survival of patients with OSCC remains low, with a 5-year overall survival rate of around 60%. In addition to the oncological prognosis, OSCCs and their treatment have a significant impact on the quality of life of patients. An early diagnosis of OSCC is recommended, but it remains difficult. It can be for example challenging to diagnose OSCC in a context of oral premalignant lesions. Identifying objective biomarkers of malignancy would be an advantage and would allow better progress in the field of precision medicine and surgery for these tumors. The investigators propose to establish the diagnostic use of an optimized DNA methylation profile detected in the saliva of OSCC patients by comparing these epigenetic marks before and after tumor resection. The investigators will construct a consolidated signature of 4 genes whose DNA is subject to methylation and gene expression is restricted to cancer cells, by crossing TCGA analysis with single-cell analysis (single-cell RNA sequencing). The investigators propose to analyse DNA methylation of the corresponding genes in the saliva of n=30 OSCC patients recruited for primary surgical resection in the Department of Maxillofacial Surgery vs controls. In addition, the investigators will examine the methylation profiles before / after complete excisional surgery of OSCC. This pilot study will aim to validate the analysis of DNA methylation markers in saliva of OSCC, with the aim of improving the diagnostic precision of OSCC and, secondly, to compare these markers before and after treatment by primary surgery.
Justification: Studies in recent years have shown that suffering an episode of acute kidney injury (AKI) is an independent risk factor for developing chronic kidney disease (CKD), which is associated with cardiovascular complications, increases medical care costs, and decreases survival. These AKI to ERC transition cases add to the growing number of CKD cases already being seen globally. It is for them that in recent years therapeutic strategies have been sought to reduce or stop this process of transition from AKI to CKD. Objective: To evaluate the efficacy and safety of the use of dapagliflozin plus standard medical treatment (TMS), compared with only TMS for 21 days, in hospitalized patients with a diagnosis of severe AKI (KDIGO 3) in reducing the incidence of CKD to 18 months of follow-up. Design: Randomized, single center, open study. 100 hospitalized patients with a diagnosis of AKI KDIGO 3, without previous CKD, will be randomized to receive 10 mg of dapagliflozin every 24 h for 21 days + TMS or only TMS. During their follow-up, baseline blood and urine samples will be taken and at 3, 6, 12 and 18 months. At 18 months, the development of CKD will be assessed using the KDIGO clinical criteria and with the determination of urinary biomarkers (Serpina A3, HSP72, KIM 1 and NGAL).