Articles tagged with Biomarkers
Researchers have identified sST2 and suPAR in the blood of dengue patients, which could accurately predict patients at risk of severe dengue. The test kits would improve patient outcomes by distinguishing between non-life-threatening cases and severe dengue, requiring hospitalization.
A study found that the common drug Entresto (sacubitril/valsartan) increases plasma Aβ42 and Aβ40 levels in patients with cardiac failure, making them falsely positive on a debated Alzheimer's blood test. This could lead to misclassification of patients as having Alzheimer's disease.
Scientists at the University of Washington School of Medicine developed a novel protein design approach using AI, creating proteins that bind to challenging biomarkers with exceptionally high affinity and specificity. The breakthrough has implications for drug development, disease diagnosis, and environmental monitoring.
Zarbio and Georgia State University scientists propose a framework for understanding Alzheimer's disease, linking molecular mechanisms, beta-amyloid biomarkers, and diagnosis. The Amyloid Degradation Toxicity Hypothesis resolves long-standing paradoxes in AD research.
Researchers have identified promising treatment candidates for morphine tolerance and cancer, as well as a biomarker for kidney injury. A monoclonal antibody targeting the mu-opioid receptor has been shown to alleviate morphine tolerance and physical dependence, while inducing excessive mitochondrial fission in tumor cells. Additionall...
Researchers at the University of Gothenburg have developed a way to distinguish different types of structural changes in glycan molecules linked to various cancers. The AI-enhanced method uses mass spectrometry to identify patterns in data sets, providing a precise answer to what will change for a specific disease.
A study found that saliva biomarkers sTNFR2 and sIgA can effectively detect pain in people with dementia, providing an alternative to invasive methods. The researchers discovered a decrease in sTNFR2 levels and an increase in sIgA in patients with dementia compared to a control group.
Researchers at UVA Health System created an 'atlas of atherosclerosis' revealing critical processes that form harmful plaque buildup. The study provides unprecedented insights into atherosclerosis and its impact on coronary artery disease, heart attacks, and strokes.
Researchers at the Center for Development of Functional Materials created a sensor to monitor metronidazole levels in organisms and the environment. The sensor, combining magnetic fluorescent nanoparticles, showed good sensitivity and practical advantages, enabling real-time analysis and ease of handling.
Multiple sclerosis affects over 2.8 million worldwide, and EU funding will investigate viral infections like EBV as potential causes and co-factors. The BEHIND-MS consortium aims to develop new cell models to test hypotheses on the disease's development.
Researchers use AI to develop dynamic modeling of brain graphs, capturing dynamics in continuous time for more accurate predictions and personalized treatment of brain diseases. The project aims to track disease development in individual patients and identify biomarkers associated with brain disorders.
Researchers used brain imaging and machine learning to identify distinct patterns of brain connectivity in people with autism spectrum disorder (ASD), taking into account individual differences. The study reveals that certain brain features are shared across subtypes, while others are unique to specific individuals.
Researchers developed a machine learning model that accurately predicted improvements in brain health using neural biomarkers. The study achieved 90% accuracy and confirmed a functional relationship between the BrainHealth Index and neural markers.
A deep learning AI model developed using mammographic images alone accurately predicted both ductal carcinoma in situ (DCIS) and invasive carcinoma, showing no bias across multiple races. The model outperformed traditional risk models in predicting breast cancer risk, providing a more accurate and equitable assessment.
Researchers have developed a device that detects glucose and adenosine monophosphate biomarkers in saliva with high sensitivity, enabling easy at-home health monitoring. The electrochemical aptamer-based biosensor is simple, accurate, and stable, making it suitable for use without laboratory equipment.
A new study identified 60 alcohol-associated circulating metabolites that appear to produce counteractive effects on the risk of heart disease. The findings suggest that moderate alcohol consumption may trigger changes in metabolomic profiles, yielding both beneficial and harmful outcomes.
Researchers uncover intricate interplay between enhancers and silencers influenced by DNA methylation, providing crucial insights into dynamic gene control. High-resolution mapping reveals how genes are controlled and modified, paving the way for precision medicine tailored to individual patients.
Researchers identified a correlation between the HSD3B1 biomarker and resistance to combined hormone therapy and radiotherapy in men with prostate cancer. The study found that high levels of the enzyme led to increased testosterone production, promoting resistance to treatment.
The American Gastroenterological Association released a new guideline recommending the use of biomarkers to help manage Crohn’s disease. Biomarkers such as C-reactive protein and fecal calprotectin can measure levels of inflammation, helping doctors assess disease activity and guide treatment decisions.
Researchers found a modest improvement in predicting pathologic response to chemotherapy using molecular subtypes, but no association with overall survival and progression-free survival. The study suggests the need for subtype-directed therapy trials to test targeted treatments.
Scientists developed a high-throughput method to study oxidized lipids in ALS. Analysis of blood plasma from rats with ALS revealed 17 oxylipin alterations associated with oxidative stress and inflammation. Oxylipins may serve as biomarkers for monitoring disease progression.
Researchers at UMass Lowell found that anti-inflammatory bacteria were less abundant in people with Parkinson's disease, suggesting a potential biomarker for early diagnosis. A new study on Latinos may also uncover novel biomarkers for Alzheimer's disease.
Researchers found overactive inflammation and loss of protective mechanisms in the brains of individuals who died by suicide, supporting further exploration of anti-inflammatory medications. The study suggests that targeting these biological changes could reduce suicide risk.
A study published in The Lancet Neurology found that monitoring brain injury biomarkers and glucose variation over the first week of hospitalization can provide a more accurate picture of the pathological process. This allows for division into different groups with distinct disease trajectories and prognoses, enabling personalized trea...
A comprehensive review study identifies emerging biomarkers that mirror efforts to halt beta-cell autoimmunity, offering potential applications in clinical practice. The study's findings may improve the management of type 1 diabetes during its partial remission phase.
Researchers at Uppsala University have developed an instrument to measure 21 biomarkers for cardiovascular disease, improving prediction and treatment. The CVD-21 panel reflects functional disturbances influencing cardiovascular development and treatment outcomes.
Researchers developed a handheld, wireless biosensor to detect Alzheimer's and Parkinson's biomarkers from saliva and urine samples. The device has shown high accuracy comparable to existing state-of-the-art methods.
Researchers created a blood-based test to detect both diseases, measure viral and bacterial loads, and track treatment progress. The test aims to improve patient outcomes by catching immune reconstitution inflammatory syndrome (IRIS) earlier.
A new study has identified a brain connectivity variate that predicts psychiatric disorders in adolescents. The finding provides evidence for a transdiagnostic brain-based measure underlying individual differences in developing psychiatric disorders in early adolescence.
A new study suggests that analyzing genetic material from nearby healthy tissue may help predict lung cancer's return after treatment. The study analyzed RNA from tumor cells and adjacent, seemingly normal lung tissue and found that the expression of genes associated with inflammation was especially useful for making predictions.
Researchers at UCLA have developed a new method to engineer more powerful immune cells that can potentially be used for 'off-the-shelf' cell therapy to treat challenging cancers. Gamma delta T cells with high expressions of CD16 surface marker exhibited increased ability to recognize and kill cancer cells.
A study of 144 Covid survivors found that women with elevated inflammatory biomarkers during the acute phase were more likely to experience lingering symptoms like fatigue, breathlessness, and sleep disturbance. This research sheds light on a potential link between inflammation and persistent Long Covid symptoms in women.
Researchers found that patients with elevated NfL levels had a 91% higher risk of worsening disability with relapse within a year, and a 49% higher risk without relapse nearly two years later. The study suggests that interventions may prevent worsening symptoms by targeting nerve cell death.
A recent study published in Nature Communications validates MSIntuit CRC, an AI-driven digital pathology diagnostic, as a reliable pre-screening tool for colorectal cancer. The diagnostic accurately rules out nearly 50% of MSS patients while correctly classifying over 96% of MSI patients.
A study of 185 women found that high neighborhood deprivation was associated with changes in DNA methylation and gene expression in Black women with breast cancer. This suggests a potential link between environmental factors and biological susceptibility to chronic diseases.
Researchers found an epigenetic signature in cheek cells of obese twins that differs from their thinner siblings, suggesting a susceptibility to obesity may be written into molecular processes. The discovery could lead to a simple cheek swab test for an obesity biomarker and enable earlier prevention methods.
A new blood test has been developed to detect common deadly cancers, such as ovarian and gastroesophageal cancers, earlier with ultra-sensitive technology. The test can pick up the presence of a protein produced by cancer cells in a tiny amount of blood in less than two hours.
Researchers deciphered when genes responsible for producing 2-methylhopanes were acquired by certain groups of organisms. They found that these genes were likely present in the last common ancestor of Cyanobacteria over two billion years ago.
Researchers have discovered a novel biomarker that enables the evaluation of near-infrared photoimmunotherapy (NIR-PIT) treatment success. The biomarker uses microbubbles to track tumor vessels and measure the effectiveness of NIR-PIT, which combines antibodies and near-infrared light to destroy cancer cells.
Researchers developed a new way to diagnose bipolar disorder using a simple blood test that can identify up to 30% of patients. The test, combined with digital mental health assessments, can differentiate between major depressive disorder and bipolar disorder.
A recent study by the University of Gothenburg found no correlation between post-COVID condition and ongoing viral infection or active brain damage. The study analyzed 25 participants with confirmed post-COVID condition, six without residual symptoms, and 17 control subjects, revealing undetectable SARS-CoV-2 antigens in all samples.
Brazilian researchers found that Zika-infected mice with microcephaly have lower Ndel1 enzyme activity, which plays a key role in neuron differentiation and migration. The study suggests that Ndel1 may be a biomarker for early diagnosis of microcephaly and offers hope for treatment options.
Researchers identify cytotoxic CD4+ tissue-resident memory T cells as potential asthma triggers, particularly in older male patients. These cells can cause severe inflammatory responses and make treatment challenging.
A new study by Klick Labs reveals that AI technology can screen for Type 2 diabetes using six to 10 seconds of a person's voice, with high accuracy rates. The research used acoustic features to analyze recordings from over 18,000 participants and identified significant vocal variations between individuals with and without the condition.
A new blood test has been developed to measure the levels of critical omega-3 fatty acids in the bloodstream, providing a convenient way to assess cardiovascular and cognitive health. The Omega-3 Index (O3I) is derived from two key fatty acids, EPA and DHA, which can be obtained only from certain dietary sources.
A recent study by UTHealth Houston found that the offspring of adolescent and young adult women with a history of cancer face a higher risk of birth defects. The study examined 6,882 offspring ages 12 months and younger and found an increased risk of specific types of defects in the offspring of women with a history of cancer.
Researchers developed a wearable device to track bipolar disorder patients' skin electrical activity, detecting manic and depressed phases. The study aims to improve diagnosis and treatment with personalized, rapid interventions.
A new study has identified two main pathways involved in Alzheimer's disease, with one acting through amyloid and tau proteins and the other based on immune system reactions. The research also found that certain genes have opposite effects in men and women, suggesting a need for further investigation.
Post-Acute Sequelae of COVID-19 research aims to track long-term health symptoms in survivors. A $3.7 million grant will support the development of self-supervised deep learning technologies to recognize post-COVID lung progression phenotypes.
A recent human study found that grape consumption improved key markers of eye health in older adults, including increased Macular Pigment Optical Density (MPOD) and reduced AGEs. Regular grape intake was also shown to increase plasma antioxidant capacity and total phenolic content.
Researchers developed a low-cost, ultrasensitive blood test to detect a highly specific biomarker for multiple common cancers. The test showed promise for early cancer detection and disease monitoring, detecting levels of the biomarker in the blood of patients with many types of cancers.
Researchers identified a circulating tumor DNA (ctDNA) biomarker that can predict disease recurrence and response to treatment in patients with BRAF-negative melanoma. The study found that measuring ctDNA levels and variants can help tailor therapy and improve patient outcomes.
Researchers developed a novel approach to predict therapeutic targets for aging and age-related diseases. They trained a domain-specific BioGPT model on biomedical literature, which improved its performance in identifying prospective targets.
A VHIO-led study has identified DPPA3 as a regulator of dormant cancer cells and chemoresistance in colorectal cancer. High levels of DPPA3 are found to predict disease relapse, while HIF1 is proposed as a potential therapeutic target to sensitize CRC cells to chemotherapy.
A significant breakthrough sheds light on Parkinson's disease mechanisms, revealing that mitochondrial DNA damage triggers the spread of debilitating symptoms. The researchers' findings offer promising potential for innovative treatments and diagnostics.
Dr. Wang's research aims to extract effective disease biomarkers from large-scale brain imaging studies using advanced statistical learning approaches and scalable computing tools. The goal is to improve diagnosis, prognosis, and treatment accuracy for Alzheimer's Disease and related dementias.
Researchers identified specific blood biomarkers that can accurately identify patients with long COVID, revealing distinct immune and hormone function differences. The study also found abnormal T cell activity, reactivation of latent viruses, and reduced cortisol levels in patients with long COVID.
A study published in eBioMedicine identified 9 sets of biomarkers, both metagenomic and transcriptomic, associated with 30-day mortality in patients with severe community-acquired pneumonia. The biomarkers were validated with an accuracy of 85%, significantly higher than existing clinical prediction models.
Researchers at the University of Alabama at Birmingham found that BNP levels are high in end-stage heart failure patients with cardiogenic shock, but no longer a reliable predictor of clinical outcomes after ventricular assist device (VAD) implantation. This study suggests reevaluating routine use of BNP testing for these patients.
A new study uses AI to predict mortality rates in patients with hip fractures, identifying key biomarkers for poor outcomes. The model achieved accurate predictions using basic blood and lab test data as well as demographic information.