Articles tagged with Biomarkers
Researchers at CNIC have discovered a specific blood marker for myocarditis, allowing clinicians to distinguish the disease from other cardiomyopathies. The biomarker, miR-721, was validated in numerous hospitals and has high sensitivity and specificity (>90%) for myocarditis diagnosis.
Researchers will discuss fundamental questions and applied technologies in physics, including dark matter, quantum information science, and ultrafast physics. New findings on creating unusual non-local interactions and detecting COVID-19 biomarkers with ultrasensitivity will also be presented.
Researchers found that urine protein biomarkers IL-1α, IL-1ra, and IL-8 can distinguish bladder cancer from controls with high accuracy. These markers also show promise in discriminating between different stages of the disease.
A new study published in the Journal of the American College of Cardiology found that a diet proven to lower elevated blood pressure, known as the DASH diet, reduces inflammation and heart injury. The findings also showed that a low-sodium diet can improve cardiovascular risk factors in a relatively short time period.
The Hungarian Canine Brain and Tissue Bank (CBTB) has made significant contributions to aging research by providing biological materials from pet dogs. Researchers found a positive correlation between CDKN2A expression and age in brain and muscle tissue, similar to human findings.
A new study has identified a link between a genetic variation called omentin and cardiometabolic health, specifically among Asian Indian participants. The researchers found that the role of adiponectin, an obesity-related biomarker, was linked to cardiovascular disease markers independent of common and central obesity.
A new biomarker has been discovered to predict severe cases of COVID-19 with high accuracy. The number of natural killer T cells in the blood can identify patients at risk of developing severe disease.
GeroSense AI tracks biological age and resilience via smartphone sensor data, providing personalized health recommendations. The technology predicts biological age acceleration and stability, enabling timely detection of lifestyle or health status changes.
A new study found that vegetarians had significantly lower levels of 'bad' cholesterol and higher levels of beneficial biomarkers like HDL cholesterol. However, they also had higher levels of fats and poorer kidney function markers, suggesting a more complex relationship between diet and health.
Researchers discovered a novel biomarker, AR CAG repeat length, which is associated with COVID-19 disease severity in men. A prospective study of 65 hospitalised COVID-19 positive men found that males with a CAG repeat below 22 nucleotides were significantly less likely to be admitted into ICU.
Biomarker concentrations were elevated among personnel with longer duration of service, particularly without a diagnosed brain injury or concussion. Repeated exposure to low levels of blast has been linked to symptoms such as headaches, fatigue, and tinnitus.
Elevated bio-ADM levels indicate disease severity and predict the need for extracorporeal organ assist in COVID-19 patients. Bio-ADM is a dynamic biomarker that indicates improved outcomes with low or decreasing levels.
The Digital Display Precision Predictor (DDPP) is a global biomarker model that predicts the duration of progression-free survival for cancer patients undergoing targeted therapy. It provides insight into the status of activation of almost all drug targets in tumor progression, enabling optimal treatment selection.
A new algorithm developed by researchers from the University of Eastern Finland uses blood biomarker measurements to aid in early diagnosis and differentiation between types of dementia. This innovation aims to provide precise diagnoses, enabling targeted treatment and improving patient outcomes.
Researchers found elevated levels of specific biomarkers in COVID-19 patients, particularly those with comorbidities like high blood pressure and diabetes. These findings suggest that non-invasive urine analysis could predict which individuals are at risk of developing severe disease.
A new study used autopsy data to evaluate the AT(N) framework, a standard tool for assessing Alzheimer's risk. The researchers found that even in the highest-risk group, a third of individuals did not develop dementia, highlighting the complexity of Alzheimer's disease and the need for additional biomarkers.
A team of scientists has identified serum cytokine concentrations as a quick and affordable means of classifying the severity of spinal cord injury in patients. The study aims to provide personalized healthcare decisions and accelerate research into spinal cord injury, with potential applications in developing countries.
A study by Zhang et al. has uncovered evidence of ancient marine algae in fossilized remains from 1400 million-year-old rocks, 600 million years earlier than previously known. The findings suggest that both green and red algal groups were present in marine ecosystems at this time.
Researchers have identified five novel diabetes subgroups with distinct biomarker profiles, highlighting the importance of inflammation in diabetes-related complications. These differences may enable early detection and therapy in individual subgroups, particularly those with severe insulin resistance.
Osaka University researchers used a photostabilizer to modulate fluorescence blinking in biochemical assays, allowing for the detection of a cancer RNA biomarker at ultralow concentrations. The technique increases fluorescence and eliminates blinking, providing a clear means to diagnose diseases in early stages.
New research suggests that HDL particles' anti-inflammatory properties may predict future cardiovascular events, improving risk assessment and prediction. The study found that individuals with lower anti-inflammatory activity in their HDL particles were more likely to experience cardiovascular events.
IU School of Medicine researchers have developed a blood test that can distinguish between severe depression and bipolar disorder, as well as predict future episodes. The test uses RNA biomarkers to inform tailored medication choices, offering a promising precision medicine approach to treatment.
Researchers at Buck Institute discover non-invasive biomarker test to measure and track performance of senolytic drugs, which target multiple age-related diseases. The biomarker detects a unique lipid metabolite released when senescent cells die.
The IASLC Molecular Database Project seeks to accelerate understanding of lung cancer biology, clinical care, and global scale. It aims to provide a platform for deeper, broader understanding of molecular testing and targeted therapy.
A team of researchers identified a novel biomarker, membrane-bound BASP-1 protein, to visualize adult human neural stem cells in the live mammalian brain. This discovery enables better understanding of neurogenesis and its relevance to neurological disorders, potentially leading to new therapeutic approaches.
A new diagnostic tool uses DPP3 to predict sepsis outcomes and guide early management. High DPP3 levels indicate severe sepsis and predict organ failure.
Researchers used quantitative proteomics to stratify fibroepithelial breast lesions, identifying three candidate biomarkers: MUCL1, HTRA1, and VEGFD. These markers show promise in augmenting existing diagnosis and monitoring disease progression.
Researchers at the University of Plymouth have discovered a biomarker, Fibulin-2 (FBLN2), that can distinguish between grade I and II meningioma tumours. This breakthrough could spare surgery for up to 85% of patients with lower-grade tumours, reducing the need for high-risk treatments.
A comprehensive analysis of biomarker testing reveals substantial variation in test utilization and treatment outcomes for stage IV NSCLC patients. Whole-genome sequencing may streamline diagnostic workflows and reduce complexity, but its cost-effectiveness remains uncertain.
Researchers found that conventional diagnostic methods for liver fibrosis do not accurately track the disease in patients who underwent Fontan surgery. The study revealed a unique regional development of fibrosis, which was not observed with hepatitis C and B, highlighting the need for new biomarkers and imaging techniques.
Researchers at University of Montreal Hospital Research Centre have identified biomarkers associated with the severity of COVID-19. The study found specific immune alterations linked to SARS-CoV-2 infection and disease progression, which could help stratify patients by risk and identify new therapeutic targets.
A study found associations between urinary miRNAs and cardiorenal outcomes, including blood pressure and eGFR levels, in Mexican children. The researchers identified several miRNAs associated with kidney function, blood pressure, and electrolyte biomarkers.
Researchers discovered five proteins associated with neutrophil activation that can predict severe COVID-19 outcomes. These biomarkers are elevated in patients who later require ICU admission or die from the virus.
Researchers discovered a blood biomarker that predicts kidney transplant rejection with a lead time of about eight months. The biomarker suggests using an existing medication to right the course of long-term recovery and prevent permanent damage.
UT Southwestern researchers have identified nine serum proteins in blood that strongly predict autism spectrum disorder (ASD) using machine learning tools. These biomarkers could enable earlier diagnosis and prompt therapeutic support, potentially improving quality of life for children with ASD.
A new biomarker has been identified that can determine individual treatment duration for tuberculosis patients, reducing the need for prolonged therapy. The biomarker is based on an RNA signature from 22 genes and was developed using patient cohorts from Germany and Romania.
Researchers identified two distinct pathways leading to septic shock, involving bioactive Adrenomedullin (bio-ADM) and Dipeptidyl peptidase 3 (DPP3). Early diagnosis with biomarker-guided approaches shows promising results in personalized medicine for sepsis treatment. New diagnostics are available for rapid detection of these biomarkers.
A novel gel electrophoresis technique enables rapid biomarker diagnosis via mass spectrometry, overcoming issues with traditional digestion protocols. The method uses dissolvable polyacrylamide gels to recover target proteins, allowing for high-throughput sample preparation and efficient quantification of biomarkers.
A University of Oregon scientist has identified myeloid-derived suppressor cells and immunosuppressive cytokine IL-10 as early predictors of treatment response in trauma cases. Abnormal immune suppression may lead to poor bone healing, motivating the need for biomarkers that can predict patient outcomes.
Scientists have developed a wearable microfluidic sensor to measure lactate concentration in sweat, offering real-time insights into muscle condition during exercise. The device is designed for comfort and practicality, using a non-irritating material and a microfluidic system for sweat collection.
A new study from the University of Eastern Finland has identified two potential biomarkers, miR-9a-3p and miR-136-3p, which could serve as diagnostic biomarkers for mild traumatic brain injury. These microRNAs were found to be elevated in both animal models and human patients, suggesting their potential use in diagnosing the condition....
A multi-disciplinary team at Harvard's Wyss Institute developed an electrochemical diagnostic sensor platform for multiplexed detection of clinically relevant biomarkers in whole blood. The device accurately detects three different sepsis biomarkers simultaneously and has the potential to revolutionize point-of-care diagnostics.
Researchers have developed a strategy to amplify fluorescence signals using DNA probes and nano-antennas, enabling the detection of biomarkers in low concentrations. This technology has the potential to enable medical screening on patients without laboratory analysis.
Researchers identified two highly antigenic epitope markers predicting multiple sclerosis in optic neuritis patients, providing a novel blood biomarker. The study utilizes the Mimotope Variation Analysis technology to analyze over 500 clinical samples from Finnish and Estonian patients.
Researchers used metabolomics and machine learning to identify biomarkers for COVID-19 diagnosis and risk assessment. The study found 26 biomarkers that differed between mild and severe illnesses, potentially revealing new clues on how SARS-CoV-2 affects the body.
NeuroVision Imaging, Inc. has received an investment from the Alzheimer's Drug Discovery Foundation (ADDF) to develop reliable and affordable biomarker tests for Alzheimer's disease and related dementias. The goal is to improve clinical trials and monitor response to treatments.
Researchers at Washington University in St. Louis developed a pain-free microneedle patch that can detect biomarkers in the fluid between cells, revolutionizing diagnostic testing. The technology offers unprecedented sensitivity and could eliminate unnecessary hospital trips and discomfort.
Researchers explore relationship between COVID-19 severity and cardiac injury, finding elevated inflammatory biomarkers associated with higher risk of cardiac damage. High levels of IL-2R and comorbidities predict increased likelihood of cardiac injury in severe COVID-19 patients.
Researchers detected Mexican marigold in ancient Maya ceramic vessels, which they believe were mixed with tobacco to enhance its effects. The discovery sheds light on ancient Maya drug use practices and paves the way for further studies on psychoactive plants.
The study found new biomarkers related to changes in protein function involved in novel regulatory mechanisms of metabolic and immunological pathways in blue mussels, soft-shell clams, Eastern oysters, and Atlantic jackknife clams. Biomarker identification will benefit the aquaculture industry.
Researchers at Washington State University have identified biomarkers in fathers' sperm that are linked to an increased risk of their children developing autism. These epigenetic markers can be detected with high accuracy and may help diagnose the condition, as well as identify environmental factors that contribute to its development.
Researchers developed a blood test that detects misfolded proteins in blood, predicting Alzheimer's disease risk in people with subjective cognitive decline. The test identified those at high and low risk, providing hope for early-stage treatment.
A global research consortium is proposed to collect and share digital speech and language data to detect early signs of Alzheimer's. The consortium aims to create a comprehensive, harmonized repository of samples from diverse cohorts to develop biomarkers that can monitor disease progression.
A large data analysis of over 7,100 U.S. adults found that vaping combined with smoking results in similar levels of inflammation and oxidative stress as smoking cigarettes exclusively. Researchers also found that dual use of both products does not reduce risk.
Researchers developed a gene biomarker identification technique to predict liver toxicity in just 24 hours, reducing lengthy animal studies. The method uses machine learning approaches to identify key genes in messenger RNA, enabling accelerated testing for agrochemical and pharmaceutical companies.
A study found novel biomarkers associated with incident heart failure, including adiponectin and pyruvate, which were linked to increased risk after 8.8 years of follow-up. Chronic inflammation and metabolic changes were also identified as key factors.
The ADQI consensus statement recommends using a combination of damage and functional biomarkers to manage Acute Kidney Injury (AKI). Proenkephalin penKid is proposed as a marker for assessing AKI progression and kidney recovery, with CE-IVD marked assay available for point-of-care usage.
A recent study found that only seven percent of high-risk noncardiac surgery patients underwent preoperative screening for biomarkers, leading to increased mortality and complications. Researchers emphasize the need for improved compliance with guidelines and education among physicians.
A novel method detects conformational changes in TDP-43 protein in ALS patients' CSF, showing high sensitivity and specificity. The technology has potential for diagnosing and developing clinical therapies for this fatal neurodegenerative disease.
A study from the University of East Anglia found that blood biomarkers such as cholesterol, inflammation, and liver function can predict future disability and healthcare demand. The researchers also discovered a pro-rich inequity in health care use, where people with higher incomes are more likely to seek medical attention.