Articles tagged with Biomarkers
Repeated blood tests measuring liver damage biomarker FIB-4 identify people at high risk of severe liver disease. The study found that increased FIB-4 scores between testing occasions can predict future liver cirrhosis, with almost half of affected individuals identifiable.
The study found that colchicine treatment was associated with reduced levels of inflammatory biomarkers and improved clinical outcomes in patients hospitalized with COVID-19. Colchicine's effectiveness in managing cardiac-related complications was also observed, suggesting potential benefits for these patients.
Researchers have identified unique metabolic signatures, called metabotypes, in over 50% of children with autism spectrum disorder. These biomarkers, detected through metabolomics tests, show promise in detecting early risk and potentially personalized therapies for ASD.
A study from University of Gothenburg found that COVID-19 patients with moderate to severe symptoms exhibited brain injury signs, including elevated GFAP and NfL biomarkers. These biomarkers were also associated with disease severity and ventilator treatment.
Researchers discovered a novel combination of biomarkers from baseline tumor tissues that predict improved clinical responses and prolonged survival in patients with advanced bladder cancer. ARID1A mutations and CXCL13 expression were associated with better overall survival, suggesting potential patient selection improvements.
Scientists at the University of Sussex have identified a potential pattern within blood that signals the presence of motor neuron disease. The discovery could significantly improve diagnosis with a future development of a blood test that identifies the unique biomarker, simplifying and speeding up diagnosis.
Researchers have developed a blood test that can accurately diagnose frontotemporal lobar degeneration (FTLD) and predict disease severity. The test measures neurofilament light chain levels in the blood, which are associated with FTLD progression, clinical phenotype, and prognosis.
Scientists at the University of Southampton are developing a rapid bedside test to diagnose neonatal Respiratory Distress Syndrome in premature babies. The test uses photonic technology and fingerprint spectroscopies, offering compact and versatile diagnostic capabilities.
A Cleveland Clinic-led research team will study the central vein sign as a reliable diagnostic marker for MS, aiming to improve accuracy and simplify clinical decision-making. The prospective study will enroll 400 patients at 11 centers in North America.
Researchers at A*STAR in Singapore have identified a potential biomarker, GSTT1, to screen the quality of donor's stem cells before harvesting. This biomarker can help determine the growth capacity and potency of MSCs, which is crucial for effective stem cell therapies.
Researchers identified 27 protein biomarkers in COVID-19 patients' blood plasma linked to disease severity. These molecular signatures can precisely classify patients according to World Health Organization's coding criteria, enabling early diagnosis and treatment.
A new mobile app assesses risk factors and key biomarkers from blood tests to produce a COVID-19 severity score. The tool has been validated using data from over 1,000 New York City patients, confirming its ability to identify those at high risk for severe cases.
A blood test using neurofilament light chain may predict recovery time after concussion, especially for those with multiple concussions. High levels of the biomarker are associated with severe symptoms like post-traumatic stress disorder and depression years later.
A new study has found that neurofilament light chain (NfL) levels in the blood can distinguish individuals at high risk of Alzheimer's disease at age 22, on average 22 years before their estimated age of cognitive impairment.
Two plasma and 10 cerebrospinal fluid biomarkers were identified to aid in early detection of MS with high sensitivity and specificity. These biomarkers may help monitor treatment response and disease progression.
Researchers found two single-miRNA and 29 two-miRNA biomarkers in serum plasma that can predict later onset of preeclampsia in asymptomatic pregnant women. Early identification could lead to prevention and better maternal and newborn outcomes.
Researchers at Duke University have developed a new imaging device that can measure the thickness and texture of the retina, potentially providing an early warning system for Alzheimer's disease. The device combines two technologies to spot structural changes in the retina, which could be indicative of the disease.
High DPP3 blood concentrations are linked to circulatory failure, cardiac depression, and acute kidney injury in burn patients. Decreasing DPP3 levels indicate a reduced risk of mortality.
Researchers at Duke University use plasmonics to boost fluorescence in diagnostics, increasing test brightness by over 150 times. The approach could make point-of-care diagnostics more widespread and affordable.
A study published in Brain found that a lag in blood drainage from the deep region of the brain is associated with ventriculomegaly and can be detected with MRI. The researchers identified this biomarker as a potential predictor for dementia and ventriculomegaly, which can be reversed by removing excess fluid.
A study published in Nature Communications reveals distinct urinary biomarker proteins for lupus nephritis in African American patients. The findings suggest that the ALCAM protein may be a promising therapeutic target. Researchers plan to conduct a longitudinal study to predict disease flares and improve treatment options.
Researchers identified IL-8 and IL-33 as key biomarkers for predicting pollen-specific nasal symptoms. These biomarkers also enable the prediction of symptom severity before the start of the pollen season.
Researchers have developed a graphene-based sensor that can detect biomarkers with high sensitivity, allowing for quick and simple disease diagnosis. The sensor uses the deformation of a single atomic sheet to trap biomarkers, which generates force deforming the graphene into a dome shape.
A new wearable smart patch is being developed to help people personalize their diets and reduce their risk of developing Type 2 diabetes. The device will measure key dietary biomarkers and send the information to an app, enabling users to precisely track how their bodies respond to different foods.
Scientists have identified biomarkers that signal potential heart damage from cancer treatment, allowing for early diagnosis and intervention. The findings could lead to better patient care and outcomes by enabling doctors to adjust chemotherapy types or dosages before cardiac damage occurs.
Researchers at CNIC discovered a biomarker, complement component 5 (C5), that detects atherosclerosis in its preclinical phase. Plasma levels of C5 can identify individuals with subclinical atherosclerosis, helping to select those who would benefit from more costly imaging analysis.
A new non-invasive method of monitoring diabetes uses saliva as a more convenient and sustainable alternative to traditional blood glucose testing. The research, published in PLOS ONE, achieved an accuracy rate of 95.2% using infrared platform technology.
Researchers investigated the association between preconception exposure to plastics and the risk of preterm birth. Higher concentrations of phthalates prior to conception were found to be associated with an increased risk of preterm birth in a recent study.
Researchers from Joslin Diabetes Center have identified a potential early biomarker for non-alcoholic fatty liver disease (NAFLD), which is linked to the regulation of liver fat metabolism and fibrosis. The protein NREP was found to decrease in levels as NAFLD progressed, suggesting its role as an early indicator of the disease.
Researchers discovered a biomarker for early detection of Alzheimer's disease in the form of high levels of RNA produced by the PHGDH gene. The study, published in Current Biology, suggests that overproduction of extracellular RNA by the PHGDH gene in elderly individuals may serve as an early warning sign of Alzheimer's disease.
A novel imaging marker has been developed to help diagnose and treat schizophrenia, using abnormal striatal function as a promising biomarker. The study, published in Nature Medicine, shows that this biomarker can distinguish between schizophrenia patients and healthy controls, while also predicting treatment response.
The OncoMX knowledgebase integrates cancer biomarker data with other relevant data types to facilitate efficient research and exploration. The platform combines heterogeneous data using the BioCompute Object framework, enabling users to compare various experimental data.
A recent study examined the association between sleep-disordered breathing and Alzheimer's disease biomarkers in older adults. The research revealed a significant link between the two conditions, with those with sleep-disordered breathing showing higher levels of biomarkers for Alzheimer's disease.
A team of scientists has developed a cancer diagnostics method that amplifies microRNA in live tumor cells using synthetic DNA and nanoparticles. This allows for the detection of tumor cells with high sensitivity, potentially leading to earlier diagnosis and improved treatment outcomes.
Researchers developed a computer program analyzing molecules in blood plasma to identify individuals at risk of becoming overweight and developing obesity-related diseases. The test is 90% accurate in detecting whether the subject will gain weight without intervention, also predicting diabetes and other health risks.
Monitoring lactate and bio-ADM levels helps identify high-risk sepsis patients. Bio-ADM measures blood vessel leakage, which can detect fatal outcomes despite low or decreasing lactate levels.
Researchers found that using AI to analyze CT scans can produce more accurate risk assessment for major cardiovascular events. Automated CT-based body composition biomarkers outperformed established clinical parameters like Framingham risk score and BMI in predicting adverse events.
A new blood test detects abnormal tau protein accumulation, differentiating healthy participants from those with Alzheimer's pathology and predicting disease progression. The test shows promise for early detection and diagnosis of Alzheimer's disease and related neurodegenerative disorders.
Scientists at UCF created functional nanomaterials for highly sensitive biomarker detection. The new method could enable high-performance technologies in various areas, including better diagnostic tools and test strip technology.
A new simple blood test developed by the University of Bristol could help doctors diagnose brain tumors earlier, using fluorescent carbon dots and nanophotonics. The test aims to detect biomarkers such as Glial fibrillary acidic protein (GFAP) in blood samples.
A study published in JAMA found that polygenic risk scores are not a reliable predictor of coronary heart disease (CHD) in patients, contradicting long-held expectations. The researchers analyzed data from over 7,000 adults and concluded that these genetic tests provide limited information about who will develop CHD.
A team of researchers has identified new biomarkers for the diagnosis and prognosis of lung cancer by analyzing repetitive DNA regions. These markers show consistent expression in both healthy cells and cancerous tumors, with potential applications for more accurate diagnoses and treatments.
A recent study by the University of California, Riverside found that e-cigarette users have elevated biomarkers of exposure and potential harm, including zinc excess correlated with oxidative DNA damage. The study highlights the risks of prolonged e-cigarette use and advises physicians to exercise caution when recommending e-cigarettes.
Two studies demonstrate that penKid is the most accurate surrogate for assessing true GFR and predicting AKI in critically ill patients with severe burns. It can complement current diagnostic standard methods to provide timely diagnosis of impaired renal function.
A team of scientists is working on wearable devices that can detect molecules in sweat to monitor patient health status continuously without blood draws. They aim to standardize sample collection methods and develop low-level detection techniques for neuropeptides, allowing for a more holistic understanding of bodily functions.
Higher ratios of very-long-chain to long-chain ceramides were associated with reduced dementia and Alzheimer's disease risks, suggesting a potential role for plasma ceramides as biomarkers. Elevated ceramide ratios may also have protective effects against dementia, while altered lipid metabolism is linked to its development.
A new blood test uses a carbon nanotube-based sensor to detect Alzheimer's disease with high accuracy, measuring key biomarkers in human plasma. The test achieved an average sensitivity of 90.0% and selectivity of 90.0%, outperforming conventional biosensors.
A multicenter study has identified a new biomarker for vascular dementia, lipocalin 2 protein, found in cerebrospinal fluid. The protein's presence can discriminate between vascular dementia and Alzheimer's disease.
Researchers found multiple faults with evidence of over 10 meters of slip during past large earthquakes in the Japan Trench fault zone, revealing a complex history of seismic activity. The technique used to analyze organic molecules in sedimentary rocks provides new insights into the likelihood of future tsunamis and earthquake hazards.
A new portable biosensor developed by researchers at EPFL's School of Engineering can rapidly detect sepsis biomarkers in a patient's bloodstream, slashing diagnosis time from several days to just a few minutes. The device uses plasmonics technology and achieves accuracy on par with gold-standard laboratory methods.
Researchers have identified blood-based biomarkers associated with both delirium duration and severity in critically ill patients. These biomarkers can help identify individuals at risk for longer delirium duration and higher delirium severity, potentially leading to new treatments.
Researchers used imaging mass cytometry to analyze 35 protein biomarkers in breast cancer patients, identifying four subcategories of the disease with varying molecular profiles. This breakthrough has the potential to change clinical practice by enabling precision medicine and personalized treatment approaches.
Scientists have developed a proteomic atlas of senescence-associated secretomes, which can be used to identify senescent cells and their inflammatory factors. This will enable the development of simple, reliable biomarkers to assess the abundance of senescent cells in human tissues.
Researchers have discovered a secreted protein signature of aging cells, which is enriched with biomarkers found in human plasma. This breakthrough could lead to the development of therapeutic approaches to treat age-related diseases by targeting senescent cells.
Researchers at UT Southwestern Medical Center found a significant association between malignant left ventricular hypertrophy and an increased risk of heart failure among black individuals. The study, published in the journal Circulation, suggests that early intervention can be beneficial in preventing future risk.
Researchers used MRI to assess neural activity in preterm infants and adults, finding similar patterns of interindividual variability in brain network activity. The study suggests that age-related increases in brain network variability may be linked to cortical maturation and expansion.
A new study published by sphingotec demonstrates that biomarker bio-ADM identifies high-risk patients for septic shock and those requiring immediate life-saving therapeutic intervention. Elevated bio-ADM levels are associated with prolonged ICU stays, fatal outcomes, and distortions in endothelial function.
Researchers at Universidad Complutense de Madrid have identified brain biomarkers for detecting Alzheimer's disease. A study found that patients with Mild Cognitive Impairment who develop dementia show increased and then decreased synchronization in brain regions, indicating cortical network dysfunction.
The penKid biomarker accurately predicted acute kidney injury (AKI), multiorgan failure, and mortality in unselected sepsis patients at presentation to the emergency department. Increasing penKid levels indicated worsening kidney function, enabling timely treatment decisions that improve outcomes.
A new computational clinical tool predicts osteoporotic vertebral fractures by analyzing patient-specific finite element analysis of functional spinal units from routine clinical scans. The method enables more accurate patient-specific analysis, paving the way for a spinal risk assessment tool and targeted early treatment strategies.