Articles tagged with Biomarkers
A study found a shift in the profile of specialized lipid mediators from pro-resolving to pro-inflammatory in patients with cognitive impairment, correlating with severity of cognition impairment. The researchers identified novel mechanisms of brain health and potential therapeutic targets for slowing down Alzheimer's disease onset.
A study by University of Gothenburg researchers has identified two biomarkers that can distinguish between patients with subcortical small-vessel disease, Alzheimer's disease, and mixed dementia. The discovery opens up new possibilities for diagnosis, treatment, and medication development.
A new technique developed at the University of Birmingham uses electroencephalography (EEG) to measure brain activity in patients before surgery, predicting their likelihood of severe pain after recovery. This allows clinicians to plan additional preventative pain medication and potentially reduce chronic symptoms.
Researchers have discovered 23 proteins in breast milk that could indicate breast cancer, paving the way for a potential blood test. The study's findings, if confirmed, may enable earlier diagnosis and improve survival rates.
The American Association for Cancer Research (AACR) has announced the recipients of its 2022 Scientific Achievement Awards and Lectureships, recognizing Tony Hunter, Christina Curtis, John E. Dick, Kevan M. Shokat, and Lee M. Ellis for their groundbreaking contributions to cancer research.
A combination of two biomarkers has been found to identify patients with subcortical small-vessel disease, a common cognitive diagnosis. This discovery improves the potential for treatment and medication development for this patient group.
The ATHENA-MONO trial shows significant improvements in progression-free survival for patients with advanced ovarian cancer treated with Rubraca as maintenance therapy. Benefit was observed across all patients, including those with homologous recombination deficiency and BRCA mutant tumors.
H. Alex Choi receives NIH grant to develop protein biomarkers for delayed cerebral ischemia, a complication after subarachnoid hemorrhage that affects approximately 50,000 Americans annually. The goal is to predict which patients will worsen and identify biological processes causing worsening patients.
A study identifies new biomarkers that predict the presence of subclinical atherosclerosis, providing a non-invasive way to detect cardiovascular disease. The research team analyzed blood plasma samples and validated three proteins as biomarkers, improving the prediction of cardiovascular risk.
Researchers develop innovative non-contact agitation technology to assess motility and invasive capacity of cancer cells in tissue sections. The study reveals significant increases in Rac/Cdc42 activity in tumor areas, with stronger correlations found in advanced cancer stages.
Researchers developed an AI-based computer algorithm that accurately predicted heart health risks based on voice recordings alone, identifying a high biomarker score associated with increased CAD-related events. The study suggests voice technology could be a powerful screening tool in remote healthcare delivery and telehealth.
Researchers have identified a blood biomarker called glial fibrillary acidic protein (GFAP) that may uniquely aid prediction of dementia in Mexican Americans. The study analyzed 745 participants over four years, finding that higher levels of GFAP predicted increased risk of developing dementia.
A Spanish national registry study found that over half of diagnosed lung cancer patients undergo biomarker testing, with a significant increase over the last five years. Nearly half of patients with positive test results received targeted treatment.
Researchers identified unique metabolite biomarkers associated with increased inflammation and bacterial burden in cystic fibrosis lungs. The study found correlations between metabolites and bacterial communities, shedding light on the underlying mechanisms of infection and inflammation in CF.
Researchers have identified phosphorylated human telomerase reverse transcriptase (hTERT) as a novel biomarker for aggressive cancers with poor prognosis. Elevated levels of this modified enzyme are found in various types of cancer, particularly those with aggressive features.
The study found that homologous recombination repair mutant type (HRRmt) was prognostic of progression-free survival and predictive for olaparib activity in women with recurrent platinum-sensitive ovarian cancer. Patients with BRCA mutations showed clinically significant activity when treated with experimental drugs.
The Southeastern Consortium for Lung Cancer Health Equity aims to address disparities in lung cancer screening among racially and ethnically diverse populations. Researchers will develop more precise methods for identifying those at highest risk of lung cancer diagnoses.
Researchers found a strong connection between retinal layer thickness and brain volume, suggesting retina assessments as a potential biomarker for brain atrophy. Thinner retinal layers correlated with reduced brain white matter and hippocampus volume.
A new system called PRMC-MS enables the comprehensive analysis of phosphoinositide acyl variants in various types of biological samples. This method allows for the simultaneous measurement of all eight classes of phosphoinositides and detection of tiny changes in intracellular levels.
The collaboration aims to accelerate addressing unmet needs in the neonatal population by applying quantitative modeling, biomarkers, and regulatory science. Patients and families will benefit from improved understanding of bronchopulmonary dysplasia and better patient enrollment for trials.
A recent study from the University of Kentucky's Sanders-Brown Center on Aging has shown promising results for a blood test that could identify Alzheimer's changes in the brain before symptoms appear. The test detects proteins associated with Alzheimer's and brain damage, which may indicate preventative treatments can be used.
The International Lipid Expert Panel recommends a step-by-step approach to diagnosing and managing muscle symptoms caused by statins. The 'nocebo/drucebo' effect, where patients experience side effects due to expectation, affects up to 70% of diagnosed statin intolerance cases.
Researchers developed tools to measure biological aging of various organ systems using biomarkers, statistical modeling, and machine learning. They found diverse correlations between different bodily systems, with some unexpected findings such as a link between gut microbiota diversity and kidney aging.
Researchers found an association between a specific HLA-DPB1 gene variant and poor response to sublingual immunotherapy (SLIT) for Japanese cedar pollinosis. The study suggests that genotyping the HLA-DPB1 gene could help predict patient responsiveness to SLIT.
Researchers at Toyohashi University of Technology developed a microchip capable of detecting ultra-low concentrations of prostate cancer antigens using flexible nanosheets. The chip's lower detection limit is comparable to that of large testing devices, enabling fast and accurate diagnosis.
Researchers at Johns Hopkins Medicine discovered 110 genes, circular RNAs, lipids and metabolites that differ between medulloblastoma patients' cerebrospinal fluid and healthy controls. These findings provide proof of principle for novel biomarkers to detect and track the disease.
Researchers have discovered signature epigenetic biomarkers in mothers and fathers of preterm infants, which may lead to a non-invasive test to predict preterm birth. This could help prevent premature births and their related health impacts on infants.
Researchers propose various approaches using AI, deep learning, and machine learning to improve the accuracy and predictive power of biomarkers for cancer and other diseases. The tools have shown promising applications in identifying early-stage cancers, inferring the site of specific cancers, and predicting response to immunotherapy.
A recent study identified specific RNA biomarkers linked to gastrointestinal symptoms in children with autism. The findings could lead to the development of personalized treatments to ease the pain of these individuals. The research has implications for precision medicine, enabling healthcare providers to track medication effectiveness...
A blood test detecting circulating tumor DNA can accurately predict recurrence of HPV-driven oropharyngeal cancer following treatment. The biomarker test may detect recurrent disease earlier than imaging or other standard methods, allowing physicians to personalize treatment more quickly for patients whose cancer returns.
Researchers found elevated plasma xanthine oxidase activity and more fragments of damaged mitochondrial DNA in Black adults with resistant hypertension compared to white adults. These findings suggest an important underlying cause of increased cardiovascular risk in Blacks with difficult-to-treat hypertension.
Researchers have created a portable device that can detect Parkinson's disease by analyzing the unique odor compounds on a person's skin. The 'e-nose' system showed an accuracy of 79.2% in diagnosing PD, with potential for improving diagnosis through machine learning algorithms.
Researchers discovered specific ceramides in the blood are associated with unfavorable levels of diabetes-related compounds, linking unhealthy diets to increased risk. Ceramide profiling may enable more precise dietary approaches for preventing cardiometabolic diseases.
Researchers at the University of Houston have identified a new biomarker, NPY1R, that predicts therapy outcome and has potential as a drug target in estrogen receptor-positive breast cancer. The study found that NPY1R expression is associated with favorable outcomes in Luminal A subtype breast cancer, but declines in resistant cases.
A team of researchers has discovered blood biomarkers that can predict patient response to immunotherapy treatment for melanoma. The study found that patients with increased lactate levels and specific lipid and amino acid metabolites were more likely to respond to treatment.
A new study using blood samples from professional soccer players reveals that headers affect brain activity by altering microRNAs, which can serve as biomarkers for brain injury. The research also explores the effects of accidental head impacts and high-intensity exercise on microRNA levels.
Researchers at UC Davis MIND Institute found a novel gene linked to autism spectrum disorder in newborns. The study analyzed DNA methylation signatures in the placenta, which reflected fetal brain development and early autism diagnosis.
The COXEN GC score was a significant predictor of overall survival when looking at both treatment groups combined. The study found no association between COXEN scores and progression-free survival, but the biomarker may serve as a potential tool to improve patient outcomes.
A comprehensive analysis of over 2,200 patients in Europe reveals the complexity of cholangiocarcinoma, a rare cancer often diagnosed at an advanced stage. The study highlights the need for education programs to raise awareness and improve early diagnosis, survival, and quality of life.
A new study has found a potential predictor for perimenopause in the form of IgG glycome composition, which may lead to improved diagnosis and treatment options. The study analyzed nearly 2000 women over 15 years and discovered changes in the IgG glycome that occur rapidly during menopause.
Paczesny will explore biomarkers and a new type of immune cell to identify and regulate acute lung injury after BMT. She aims to improve understanding of signaling mechanisms in lung injury after BMT, particularly as they relate to idiopathic pneumonia syndrome.
Researchers from University of Otago hope to identify Alzheimer's risk in middle age with a simple eye test. Thinner retinal nerve fibre layer and ganglion cell layer are linked to cognitive decline, suggesting optical scans could aid diagnosis.
A novel immune-profiling method can return detailed immune cell type proportions using only DNA from blood, potentially allowing for individualized prediction of outcomes in immunotherapy patients. This approach offers the opportunity to ask and answer questions about the immune system in health and disease.
A University of Houston researcher has identified potential biomarkers for neuropsychiatric symptoms of lupus, which include CSF Lipocalin-2, M-CSF, IgM, and complement C3. Elevated levels of these proteins in cerebrospinal fluid may indicate a diagnosis of NPSLE.
A team of researchers identified clusters of mutations in the genome that contribute to cancer progression in about 10% of human cancers. These clustered somatic mutations can be used to predict patient survival, with specific hotspots linked to better or worse outcomes for certain types of cancer.
Researchers discover that chemotherapy triggers the secretion of mucins in colorectal cancer cells, forming a physical barrier that prevents drugs from reaching their intended target. The study found potential new biomarkers for disease prognosis and a promising treatment strategy using NCX blockers like SN-6.
Researchers developed a new personalized test for monitoring cancer recurrence in acute lymphoblastic leukemia (ALL) patients. The MP PCR uses multiple genomic markers to detect disease recurrence sooner, improving treatment strategies and patient stratification.
A study of 74 healthy individuals found correlations between spleen volume and gender, age, and certain blood parameters such as HGB, HCT, RBC, ALT, but not others like LYM%, PLT. Spleen volume was estimated using the Cavalieri principle and stereological method.
Researchers have identified a germline biomarker signature that can predict serious side effects in up to 3 in 10 patients undergoing anti-PD1/PDL1 therapy. The findings represent an important step toward personalizing checkpoint therapy, potentially improving patient outcomes and reducing harm.
Researchers at the Buck Institute discovered a naturally occurring metabolite, 25-hydroxycholesteral, that significantly reduces senescent cells in multiple cell types and improves muscle mass in aged mice. The molecule targets CRYAB, a small heat shock protein associated with age-related diseases like myopathies.
Researchers found that fuel poverty leads to higher levels of inflammation, affecting physical health, and lower life satisfaction, impacting wellbeing outcomes. The study's findings highlight the need for policies to support low-income households struggling with fuel poverty.
Researchers at the University of Illinois have developed a new approach to detect cancer biomarkers in human serum, reducing the detection time from hours to just one minute. This method uses magnetic-plasmonic nanoparticles and photonic resonator absorption microscopy to achieve high selectivity and rapid sample-to-answer analysis.
A study led by Clemson University geneticist Allison Hickman has identified 11 high-priority genes associated with uterine cancer. These genes are potential targets for drug therapies, offering new hope for effective treatment options.
Scientists have discovered families of proteins that can predict liver transplant rejection, allowing for early detection and modification of immunosuppression. The Blood Proteoform Atlas outlines over 56,000 protein molecules associated with immune cell proteins that change with rejection.
Researchers have identified 15 biological markers that can predict severe depression in pregnant women with 83% accuracy. This finding has the potential to improve prenatal care and reduce depressive symptoms in mothers.
Regular physical activity significantly changes metabolite profiles, associated with a lower risk of type 2 diabetes. The study found improved insulin secretion and reduced fasting glucose levels in physically active men.
The NRG-RTOG 1010 clinical trial found that adding trastuzumab to chemoradiation and surgery did not improve disease-free survival for HER2-positive esophageal adenocarcinoma patients. Despite this, the study highlights future research opportunities to explore combining trastuzumab with other HER2-targeting agents.
Sophie Paczesny's research aims to validate biomarker panels that help doctors predict chronic GVHD risk and adjust immune suppression treatments accordingly. The study uses machine learning algorithms to analyze stored plasma and blood cell samples from over 1,300 BMT recipients.
The new BD CellView Image Technology enables high-speed sorting of individual cells based on detailed microscopic analysis, accelerating discovery research in immunology, cell biology, and genomics. This technology has the potential to unlock new cell-based therapeutic discoveries and transform various fields of biomedical research.
A recent study published in The Journal of Urology found that serum hormone ratios can predict the risk of future infertility in children with cryptorchidism. Researchers discovered that inhibin B levels and anti-Mullerian hormone (AMH) are significant markers of spermatogenesis, helping to identify boys at high risk of infertility.