Articles tagged with Biomarkers
Researchers have developed a new protocol to exclusively access and quantify proteins carried by extracellular vesicles in the blood. This breakthrough may lead to early diagnosis of Parkinson's disease and other brain disorders, providing treatment opportunities before symptoms appear.
The International Working Group proposes a new approach to diagnosing Alzheimer's disease, focusing on clinical evaluation supported by biomarkers. This distinction is crucial for identifying those who have the disease and those at risk, paving the way for targeted research and personalized treatments.
A recent revision of Alzheimer Association criteria focuses solely on AD core biomarkers, sparking uncertainty about patient outcomes. The new definition may limit diagnostic flexibility and impact treatment planning.
Researchers synthesizing AI with biomarker analysis aim to detect early signs of aging and enable targeted interventions to delay disease. This approach has the potential to slow, prevent or reverse certain effects of aging.
Researchers analyzed steroids from animal dung in lake sediments to determine the dominant large herbivores that lived in northern Yellowstone National Park. The study found bison and elk as primary species for the last 2,300 years, with impacts on local ecosystems.
Researchers developed a method to assess which patients with metastatic triple-negative breast cancer can benefit from immunotherapy. The tool uses predictive biomarkers and machine learning-based approaches to identify patients who are likely to respond to treatment.
Researchers propose a comprehensive biomarker-based approach to assess cardiovascular risk by combining markers of chronic inflammation with cardiac health indicators. This approach reveals the significant impact of aging-related inflammation, or 'inflammaging,' on heart health and opens new avenues for targeted interventions.
Researchers identified three long noncoding RNAs associated with worse outcomes in colorectal cancer patients, potentially serving as prognostic markers. The study's findings could enable doctors to separate high-risk patients from those at low risk of disease recurrence, leading to more effective treatment strategies.
Researchers have identified a genetic signature that can predict neonatal sepsis in newborns before symptoms appear, allowing for earlier recognition and life-saving treatment. The discovery has the potential to improve healthcare outcomes in lower- and middle-income countries where neonatal sepsis is most prevalent.
Researchers have successfully integrated genome sequencing into newborn screening to identify hundreds of rare genetic disorders. This approach allows for earlier diagnosis and treatment, promoting health equity and reducing time to diagnosis.
Researchers developed femtosecond-fieldoscopy, enabling precise measurement of liquid quantities and detecting target molecules in aqueous environments. The technique opens up possibilities for label-free bio-imaging and advanced biomedical applications.
The myeloMATCH program offers a portfolio of biomarker-driven treatment trials to accelerate precision medicine in myeloid malignancies. Patients can enroll in clinical trials throughout their cancer treatment journey, with test results returned quickly to assign them to the most appropriate trial.
A team of researchers, funded by ARPA-H, aims to create an objective quantitative tool to assess pain in patients. They will use biomarkers such as stress hormones and neurotransmitters to generate a composite panel of markers that can be monitored on a portable device.
Researchers found that physically fitter patients with metastatic lung cancer live longer and respond better to chemotherapy. The study identified biomarkers in blood plasma that can indicate which patients are most likely to respond to treatment.
Researchers have created a new diagnostic tool using machine learning to detect schistosomiasis, a persistent parasitic infection affecting an estimated 250 million people. The tool can identify low levels of the infection and distinguish between active and past infections, leading to earlier treatment and improved long-term outcomes.
Researchers have developed a handheld, sound-based diagnostic system that can deliver precise blood test results in an hour with minimal finger prick of blood. The system uses functional negative acoustic contrast particles and a custom-built instrument to detect biomarkers in tiny amounts of blood.
Researchers at Johns Hopkins University developed a fast and accurate blood test that can detect the earliest signs of a heart attack in minutes. The stand-alone test provides results in five to seven minutes, making it more accessible for first responders and people at home.
A UMass Amherst-led team has developed a sensor to detect sodium ions in breastmilk, a biomarker of elevated mammary permeability and potential milk supply issues. The device provides highly sensitive readings inexpensively and quickly, with results delivered in three minutes and costs just $1 per test.
Researchers validate a new blood test platform that can measure multiple biomarkers of Alzheimer's disease, potentially improving early diagnostics and treatment. The platform captures changes in proteins related to neurodegenerative diseases and may help track disease progression over time.
A new experimental blood test, combining CA199.STRA and CA19-9 biomarkers, improves accurate detection of pancreatic cancer in a lab setting by 27%, according to a recent study published in Cancer Letters. The test's effectiveness in a clinical lab setting is crucial for approval as a potential diagnostic method.
A new non-invasive imaging technique has been shown to accurately detect clear-cell renal cell carcinoma, the most common form of kidney cancer. The technique uses a monoclonal antibody drug that targets the protein CA9, highly expressed in up to 95% of clear cell kidney cancers.
Researchers at NYU Langone Health will use visible-light OCT technology to detect biomarkers of neurodegenerative disease, including Alzheimer’s and Parkinson’s diseases. The study aims to identify retinal layers and monitor the effects of therapies.
Researchers found high prevalence of frailty in breast cancer and hematopoietic cell transplant survivors, negatively impacting physical functioning and quality of life. The study supports an association between frailty and the senescence marker p16INK4a, highlighting the need for well-designed senolytic trials.
Researchers found that biomarker levels for diagnosing Alzheimer's vary with time of day, with lowest levels in the morning and highest in the evening. The study suggests standardizing sample times to improve diagnostic accuracy and disease tracking.
A blood test combining AI, cell-free DNA, and protein biomarkers shows high accuracy in detecting ovarian cancer. The test distinguishes between benign growths and cancerous tumors, offering a potential affordable screening method for widespread use.
Research from Trinity College Dublin found that lower sustained attention in adolescence can predict a larger increase in cigarette and cannabis use by age 23. The study suggests using early biomarkers like sustained attention to identify vulnerable adolescents and guide targeted interventions.
A clinical trial found that mavacamten, a cardiac myosin inhibitor, reduced biomarkers of cardiac wall stress and injury in patients with heart failure. The treatment showed no significant reduction in left ventricular ejection fraction.
Researchers at IGTP have discovered a specific cellular pattern in regulatory B cells to monitor kidney transplant patients. This signature can help identify low-risk patients who may benefit from reduced immunosuppression and those at high risk who require closer monitoring.
A recent study published in The American Journal of Clinical Nutrition found that over 80% of women are iron deficient by the third trimester of pregnancy. Despite being considered a high-resource setting, the study revealed alarming rates of iron deficiency among healthy pregnant women. This finding emphasizes the importance of routin...
A new study published in PLOS Mental Health found a relationship between daily sunlight exposure, physical activity, and depressed state. The research used wrist-based activity sensors to collect data from individuals with depression and those without, revealing that more depressed states were associated with lower daytime activity.
Researchers have developed a new method to detect melanoma using tumour-specific antibodies, which can accurately identify stage I and II melanoma patients. The study found that these antibodies showed high sensitivity and specificity in detecting melanoma, with an AUC value of up to 0.981.
A study from the University of Copenhagen detected lipid biomarkers in obese children that indicate a higher risk of developing type 2 diabetes, liver, and heart disease later in life. A one-year lifestyle intervention lowered these biomarkers, demonstrating the importance of early intervention for children with obesity.
Researchers at Tohoku University developed a new quantitative testing system called the Express Biochecker, which uses Janus particles to detect coronavirus N protein. The system is simple, rapid, and low-cost, with potential applications for other viral illnesses and biomarkers.
Researchers at Cranfield University have developed an innovative method for identifying biomarkers in wastewater using origami-paper sensors, enabling early detection of infectious diseases. The new test device is portable, fast, and cost-effective, making it a game-changer for public health measures.
A pioneering study identified critical biomarkers that can predict disability worsening in MS. Elevated serum neurofilament light chain and serum glial fibrillary acidic protein levels correlate with progression independent of relapse activity, guiding personalized treatment approaches.
A new study by UT Health San Antonio found that higher levels of leptin are associated with better signal-transmitting brain white matter in middle-aged adults. The researchers also discovered a link between leptin bioavailability and reduced risk of cognitive impairment, providing potential insights into obesity's role in dementia.
A recent study found a correlation between higher anti-PD-1 autoantibody levels and lower survival rates in patients with advanced liver cancer, suggesting these autoantibodies as potential biomarkers for predicting treatment response. The discovery aims to improve treatment regimens for patients with liver cancer.
A new study found that childhood trauma can have specific consequences for biological health and risk of developing 20 major diseases later in life. The study's findings differ by sex and type of stressor, highlighting the need for a precision medicine approach based on patients' sex and specific stress profile.
The Mount Sinai Health System is deploying blood-based biomarkers and confirmatory tests for Alzheimer's disease and related dementias, enabling early detection and intervention. The system aims to stratify patients rapidly, non-invasively, and cost-effectively.
A survey of experts revealed six key challenges to biomarkers of aging in the clinical setting, including standardization and regulatory frameworks. Recommendations have been formulated to address these issues, aiming to advance the use of these tools in optimizing healthy lifespan.
Recent advancements in high-throughput proteomics have unveiled new insights into protein involvement in various cancers. The review explores four key techniques, including mass spectrometry and next-generation tissue microarrays, highlighting their strengths and limitations for large-scale molecular analyses.
Established biomarkers such as CRP, ESR, vitamin D, and platelets continue to be vital in IBD management. Novel biomarkers like MAdCAM-1, oncostatin M, NOD2 mutations, and anti-Integrin αvβ6 offer promise for improving diagnostic accuracy and predicting treatment response.
Researchers at Klick Labs developed an AI technique using vocal biomarkers to predict chronic high blood pressure with up to 84% accuracy. The study used machine learning to analyze hundreds of indiscernible vocal biomarkers, including pitch variability and speech energy distribution patterns.
A $3.9 million grant from the National Institutes of Health supports a study on wearable sleep trackers and AI in predicting blood biomarkers of Alzheimer's disease in at-risk individuals. The research aims to create an 'early warning system' for flagging individuals with a genetic predisposition to Alzheimer's.
The new diagnostic test system combines a field-effect transistor with a paper-based analytical cartridge, achieving over 97% accuracy in measuring cholesterol levels. This innovation has the potential to transform at-home testing and diagnostics with its high sensitivity, low cost, and machine learning capabilities.
Researchers at UCSF identified signals in the metabolic system of infants who died from Sudden Infant Death Syndrome (SIDS), finding associations between lower C-3 levels and elevated C-14OH. Elevated biomarkers also led to reduced risk of SIDS, but further research is needed to validate these findings.
The FDA Letter of Support recognizes the potential of αSyn-SAA to accelerate clinical trial design in Parkinson's and related disorders. This biomarker can objectively detect early biology related to these diseases, enabling research toward tailored therapies and potentially delaying or preventing disease onset.
A new library of healthy participants' neuroimaging data has been created to aid in the diagnosis and treatment of traumatic brain injury (TBI). The Normative Neuroimaging Library consists of data from approximately 1900 individuals, providing a comprehensive dataset for clinicians and researchers.
Researchers at Umeå University have identified unique inflammatory protein profiles in the blood of individuals with severe periodontitis, which is associated with lower levels of EGF and OLR-1 proteins. The study provides a promising lead for developing biomarkers and treatments for the disease.
A novel synthetic biology platform enables rapid and cost-effective transformation of protein binders into high-contrast nanosensors for various applications. The platform uses fluorogenic amino acids to increase fluorescence up to 100-fold, enabling the detection of specific proteins, peptides, and small molecules.
Researchers have developed an integrated optical sensor capable of detecting dopamine directly from unprocessed blood samples. This breakthrough enables low-cost and efficient screening tools for various neurological conditions and cancers.
Researchers have identified a unique biomarker in human blood serum that shows potential for early diagnosis of Alzheimer's disease. The study's findings suggest that this test could be used to diagnose AD before cognitive decline or symptoms become apparent, enabling earlier lifestyle changes and medication to slow disease progression.
The wearable device monitors vital chemical levels in fingertip sweat, fueling its own energy and powering a suite of sensors. It can track glucose, vitamins, lactate, and levodopa levels without requiring physical activity or stimuli, offering a reliable health monitoring solution.
Researchers created a mouse model to study relative energy deficiency in sport (REDs), revealing the syndrome impacts the entire body and affects males and females differently. REDs leads to hormonal and reproductive issues, insomnia and fatigue, bone weakness and injury, and anxiety and depression.
A blood test that measures three modifiable factors together can better predict cardiovascular risk than any marker used alone. The study found that inflammation is at least as important as cholesterol in predicting cardiovascular events.
Researchers have developed a cost-effective and easily reproducible point-of-care testing device that can accurately measure cortisol levels in the blood. The device uses iridium oxide nanoparticles to improve stability, sensitivity, and selectivity, allowing for commercial use.
A new editorial in Oncoscience explores the application of functional information to adapt radiation therapy to individual patients. This approach aims to reduce uncertainty and improve outcomes in cancer treatment by analyzing signal data uncertainty.
A new study published in Scientific Reports confirms a linear relationship between blood glucose levels and voice fundamental frequency, suggesting potential for voice-based glucose monitoring. Researchers at Klick Labs used vocal biomarkers and AI to detect Type 2 diabetes with high accuracy.
A multi-university research team led by University of Virginia engineering professor Gustavo K. Rohde has developed a system that can accurately spot genetic markers of autism in brain images. The system uses generative computer modeling technique called transport-based morphometry, which reveals brain structure patterns that predict v...
Researchers have made progress in understanding how genetics and lifestyle factors influence dementia risk through epigenetics. DNA methylation signatures in blood can mirror protein biomarker levels in spinal fluid samples, used for diagnosing dementia.