View clinical trials related to Biomarkers.
Filter by: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
It is known that the global socioeconomic burden of individuals with knee osteoarthritis (OA) is on a constantly rising curve. In addition, it is predicted that this burden will increase with the increase in the aging rate of countries. While the evidence level of exercise in the treatment of individuals with knee OA is at A level, a standard exercise program has still not been established for these individuals. One of the most important elements in establishing a standard exercise protocol can be realized by understanding how exercise provides positive effects in these individuals. Today, the gold standard practice used in examining the effectiveness of treatments such as exercise is the follow-up of biomarkers. However, for this purpose, biological fluids (blood, urine, synovial fluid) samples are not taken from individuals with knee OA during routine health controls. Existing laboratory detection methods, especially ELISA analysis, are very detailed, time-consuming and expensive, among the reasons why they cannot be included in routine clinical practice. This situation makes it difficult to examine which biomarkers the exercise programs applied in individuals with knee OA have an effect on and to establish a standard exercise protocol. Therefore, the number of randomized controlled studies examining this issue is very few in the literature, and this number is much less in Turkey. The researchers aimed to create a standard home-based exercise program by examining the effects of the holistic exercise approach for all lower extremity muscles, which the researchers created considering the EMG studies in the literature for individuals with knee OA and the age group to be included in the study, both at the physical (pain, functional status, quality of life) and biochemical level (inflammatory biomarkers that have not been examined together before and whose relationship with OA has been newly discovered).
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.
The study aims to investigate short-term physiological and biochemical inflammatory and cardiocirculatory biomarker kinetics in heart failure patients, using the DIGIPREDICT Physiopatch device - an investigational device that allows non-invasive realtime single-lead ECG registration and bioimpedance measurement as well as spotcheck photoplethysmography -, and standard laboratory methods, respectively.
To explore the predictive and diagnostic role of biomarkers in patients with neurological diseases.
The aim of study is impact of additional treatment with new antidiabetic drugs (semaglutide or empagliflozine) compared to control group in T1DM patients - impact on endothelial function measured by FMD and FPF, arterial stiffness - measured by PWV, inflammatory biomarkers, markers of oxidative stress and endothelial progenitor cells (CD 34+/VDRL2, CD 133+/VDRL2) and correlation with glucovariability or time in range, measured with CGM system.
The goal of this food intervention study is to screen/validate the whole grain food intake biomarker in health Chinese's population.
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).