Articles tagged with Biomarkers
Researchers at UMC Utrecht are developing a predictive model to accurately predict disease progress in juvenile dermatomyositis. The Interferon Score aims to identify which children can safely reduce medication and which require intensified treatment.
Researchers have identified three distinct immunotypes in EPTB patients, revealing new insights into disease mechanisms. Additionally, gene expression-based biomarkers have been developed to reliably diagnose both pulmonary and extrapulmonary tuberculosis.
A study published in Chinese Medical Journal identified tumor-promoting keratinocytes linked to HPV infection and poor prognosis. These cells were found to interact with immune cells, promoting tumor proliferation and differentiation.
A new study reveals that a large gap between two common kidney function tests may indicate future disease, particularly among older adults. The research found that over a third of hospitalized participants had a significant difference in their creatinine and cystatin C readings, which can predict serious health problems.
Researchers found that combining three biomarkers – lipoprotein(a), remnant cholesterol, and high-sensitivity C-reactive protein – can reveal a nearly three-fold increase in heart attack risk. This combination approach may aid health care professionals in identifying individuals with high-risk profiles earlier.
Researchers developed a prognostic model using machine learning to predict suicide risk in depression patients. The study found that clinical features and biochemical biomarkers, such as TSH levels, contributed significantly to the model's accuracy, achieving an 82% success rate.
Researchers used lipid biomarker analyses to study survival strategies of microorganisms in extreme deep-sea ecosystems. They found that methane- and sulfate-metabolizing microbes can thrive in environments with high pH values and low organic carbon concentrations.
The BrainHealthy competition offers real-world experience to talented young brain health researchers. The contest aims to advance new studies on age-related brain changes, brain health biomarkers, and Alzheimer's disease.
Researchers have discovered a previously unknown group of cells that produce adrenaline, which may help the fetal heart adapt to stress. The study provides a detailed map of the developing human heart, revealing over 70 distinct cell types and their interactions.
A new study suggests that collecting and testing cancer cells in patients' blood could help doctors choose the right breast cancer treatment. The 'labyrinth chip' technology separates cancer cells from other blood cells, allowing researchers to identify biomarkers that distinguish aggressive treatments from less invasive ones.
Researchers have developed a blood test that detects Parkinson's disease by analyzing the activity of immune cells. The study found 22 genes whose expression was altered in patients with Parkinson's, suggesting potential diagnostic markers and insights into the disease's mechanisms.
The review highlights how T cells specifically recognize and eliminate malignant cells through antigen recognition mechanisms. It also explores how tumors evade immune surveillance through various mechanisms and discusses potential therapeutic strategies, including combination therapies to improve response rates for cancer patients.
The Association for Molecular Pathology recognized Dr. Laposata's contributions to clinical laboratory practice and his role in challenging the FDA's rule on laboratory-developed test regulation. The award preserves diagnostic innovation, ensures patient access, and avoids escalating healthcare costs.
Tear-derived extracellular vesicles show promise as non-invasive biomarkers for ocular and neurodegenerative diseases. The study highlights their potential to provide valuable information about the eye's health, including processes related to neurodegenerative diseases.
Researchers developed voltage-matrix nanopore profiling to accurately classify proteins in complex mixtures based on their electrical signatures. The method reveals molecular individuality and compositional differences without labeling or modifications, holding promise for disease diagnosis and real-world bioanalytical applications.
Longevity clinics have emerged globally, offering advanced diagnostic services and customized lifestyle interventions to extend healthspan. However, concerns arise from lack of scientific validation, high costs, and limited access to populations most at risk for premature aging.
Researchers developed innovative blood-based biomarkers to predict long-term blood pressure improvements after bariatric surgery. The study analyzed pre-surgery blood tests and identified top 10 molecules linked to improved blood pressure outcomes.
Post-traumatic vasospasm (PTV) is a sudden narrowing of brain arteries that can lead to stroke and long-term neurological damage. Early diagnosis using tools like transcranial Doppler ultrasound and S100 protein blood tests is crucial to prevent secondary brain injury.
Scientists found that CtBP2 levels decrease with age, but are higher in long-lived individuals. This biomarker may estimate the degree of aging and overall health status.
A study found that higher thymic health is associated with better outcomes in cancer patients treated with immunotherapy, including a 35% lower risk of cancer progression and 44% lower risk of death. Thymic health may serve as a non-invasive biomarker of adaptive immune competence in various cancers.
A recent study identifies molecular markers in children and adolescents that link childhood maltreatment to long-term brain alterations and mental health outcomes. The researchers found four DNA methylation sites associated with child maltreatment, including the 'master switch' gene FOXP1, which regulates brain development.
Researchers have developed a non-invasive blood test that can detect Amyotrophic Lateral Sclerosis (ALS) earlier and with higher accuracy by measuring cell-free DNA. The test distinguishes between ALS patients and healthy individuals, as well as those with other neurological conditions.
A study led by Julie Pilitsis, MD, PhD, found a possible connection between chronic pain and eosinophilia, a white blood cell condition, in patients undergoing spinal cord stimulation or implanted pain medicine pumps. The study suggests that eosinophilia may be an immune biomarker for chronic pain.
The study projects an average increase of up to 68% in respiratory rate for animals in the North compared to those in the South. Small ruminants will be more impacted by climate change, with dairy farming in the South being the most vulnerable to heat stress.
Serum HBV RNA and HBcrAg have emerged as promising biomarkers for chronic hepatitis B, enabling better monitoring of disease progression, treatment response, and risk stratification. These markers provide a window into intrahepatic viral activity, correlating with clinical outcomes such as HCC development and liver fibrosis severity.
Researchers found a significant increase in AMPA receptors across Long COVID patients' brains, correlating with cognitive impairment severity. This discovery provides a direct biological explanation for brain fog symptoms and may lead to novel treatments.
A new study discovers a previously unknown long noncoding RNA, EUDAL, that helps oral cancer cells survive chemotherapy by permanently activating the epidermal growth factor receptor. This RNA molecule blocks the cellular tagging system, allowing EGFR to remain active and promote autophagy in cancer cells.
Researchers used ATR-FTIR spectroscopy to analyze tissue samples from patients with metaplastic breast carcinoma, ductal carcinoma in situ, and invasive ductal carcinoma. The study found that specific spectral features were significantly elevated in carcinomatous tissues and could effectively differentiate between normal tissue and can...
A new research network aims to detect early signs of dementia through open-source digital tools. Penn State will lead a $39 million grant to advance Alzheimer's detection and reduce the financial, interpersonal, and health impacts of Alzheimer's disease.
A study has identified KIMA, a genomic signature associated with a poor treatment response in HR+/HER2- breast cancer patients. The signature, composed of nine genes, can predict disease progression and overall survival, enabling personalized therapy selection.
Leading researchers are advocating for increased diagnostics and treatment of Alzheimer's disease, citing significant advances in research and the availability of new medicines. The European Union has approved two medicines that slow the progression of mild dementia by removing amyloid plaques from the brain.
A study published in Journal of Internal Medicine found that people with moderate to high levels of albumin in their urine have a higher risk of developing dementia. The researchers discovered an association between albuminuria and increased risk of dementia, independent of kidney function.
A deep learning model achieved up to 98% accuracy in distinguishing autistic from neurotypical participants, providing clear insights into brain regions most influential to its decisions. The model could benefit autistic people and clinicians by offering accurate and explainable results to inform assessment and support.
A cohort study reveals oral bacteria and fungi as significant risk factors for pancreatic cancer development. The findings suggest that oral microbiota may serve as biomarkers to identify individuals at high risk of pancreatic cancer, potentially contributing to personalized prevention strategies.
Researchers at Salk Institute and UC San Diego have identified a unique sugar called HSAT as a potential therapeutic target for slowing tumor progression and metastasis in pancreatic ductal adenocarcinoma. Boosting HSAT levels may slow the formation and spread of pancreatic cancer, leading to improved survival rates among patients.
A Japanese study has identified four distinct patterns of immune response after COVID-19 vaccines, with a 'rapid-decliner' group experiencing faster decline in antibody levels. Monitoring changes in antibody levels may help identify individuals at greater risk of infection and inform more effective vaccination strategies.
The VasCog-2-WSO criteria update provide operationalization and guidance on neuroimaging and fluid biomarkers for VCID diagnosis. This new standard aims to facilitate diagnostic consistency among clinicians and researchers worldwide.
A recent study identifies C1orf122 as a novel biomarker for hepatocellular carcinoma (HCC) progression and prognosis. C1orf122 promotes HCC via the SRPK1-PI3K/AKT/GSK3β axis, enhancing cell proliferation, suppressing apoptosis, and facilitating cell migration.
Researchers discovered elevated TSPO levels in the brain of genetically engineered mouse models and human patients with familial Alzheimer's disease, indicating a potential biomarker for early detection. The study aims to explore how blocking or enhancing TSPO could halt disease progression.
A new study published in Clinical Chemistry and Laboratory Medicine has developed a practical tool to support harmonization and quality improvement in vitamin D testing. The multicentre study evaluates the measurement uncertainty of various 25-(OH)D assays and their ability to detect physiologically relevant changes over time.
Researchers at MD Anderson have made significant advancements in treating kidney cancer, including the use of metastasis-directed targeted radiation therapy to delay systemic treatments. Additionally, preliminary data from an ELI-002 vaccine trial showed promise in delaying relapse of KRAS-mutated pancreatic and colorectal cancers.
Researchers have identified two molecular targets, HER2 and CD24, as promising candidates for new nuclear diagnostics and therapeutics for endometrial cancer. These targets may help clinicians identify patients likely to respond to targeted therapies, offering new hope for those with disseminated or recurrent disease.
A recent study identifies four novel proteomic subtypes of GSRCC: Metabolism, Microenvironment Dysregulation, Migration, and Proliferation. Key prognostic biomarkers PRDX2 and DDX27 were also identified, with PRDX2 linked to favorable prognosis and DDX27 associated with poor survival outcomes.
Researchers at Kennedy Krieger Institute have developed biomarkers to help identify children with Sturge-Weber syndrome at risk of developing the condition. These tools can monitor disease progression and guide individualized treatment plans, potentially changing a child's development trajectory.
Researchers developed Vesalius to interpret complex data on cancer cell interactions, leading to potential discoveries in treating hard-to-treat cancers. The tool analyzes whole tissue architecture to identify predictive biomarkers and inform treatment options based on individual disease types.
A team of scientists has unveiled a MoS2-based phototransistor that sets new records in optical gain and sensitivity. The device detects light pulses containing tens of photons and identifies disease biomarkers at attomolar concentrations, outperforming current gold standard assays.
Researchers have developed a self-powered microneedle patch that can monitor biomarkers without drawing blood or relying on external devices. The patch uses dermal interstitial fluid (ISF) as a cleaner sample, which contains similar biomarkers to blood and doesn't require processing before testing.
A new study will investigate whether low levels of the lung protein CC16 in childhood can predict who will develop early chronic obstructive pulmonary disease (COPD) later in life. The five-year study aims to identify children at risk for early COPD and potentially intervene to prevent lung disease.
CISD1 expression linked to poor clinical outcomes, increased stemness levels, and tumor aggressiveness in multiple cancers. The gene's role in cellular bioenergetics also highlights its potential as a prognostic marker.
Researchers have developed an AI system that can recognize the early warning stages of laryngeal cancer from voice recordings. By analyzing variations in tone, pitch, and volume, the AI can distinguish between voices with benign vocal fold lesions and those with cancer. The study's findings offer a promising breakthrough for non-invasi...
Researchers at Arizona State University have developed a rapid and accurate diagnostic test called NasRED that can detect diseases like COVID-19 with high sensitivity. The test uses tiny gold nanoparticles to identify disease-related proteins in a sample of bodily fluid, providing lab-quality accuracy without expensive equipment.
A new study has identified a genetic biomarker that predicts which multiple sclerosis patients will respond well to treatment with glatiramer acetate. This allows for personalized therapy decisions to be made before starting treatment, with those carrying the HLA-A*03:01 gene variant showing significant clinical benefits.
Researchers identify key symptom categories and biomarkers for anti-NMDAR encephalitis, a rare autoimmune brain condition. Clinical manifestations suggest the presence of anti-NMDAR encephalitis through NMDA antibody checks, uric acid levels, C-reactive protein, and thyroid-related hormones.
The study identified significant alterations in chromatin accessibility of cis-regulatory elements associated with AML differentiation, linked to mutations in the WT1 transcription factor gene. These changes led to reduced chromatin accessibility and downregulation of target genes, promoting AML proliferation.
Researchers have developed a groundbreaking method to observe lysosomes in live suspended cells—quantitatively, in 3D, and without the use of chemical labels. The technology uses holographic tomography in flow cytometry configuration (HTFC) to identify morphological and spatial lysosomal changes in models of lysosomal storage diseases.
The project aims to develop novel, interpretable biomarkers using advanced artificial intelligence to overcome limitations in current diagnostic tools. The team will integrate multi-modal data and biomechanics for better diagnosis and tracking of chronic obstructive pulmonary disease (COPD).
A recent study has found that rheumatoid arthritis (RA) is a causal factor for idiopathic pulmonary fibrosis (IPF), while IPF is not causally related to RA. The research also identified shared biomarkers, including CCL2 and CXCL2, which were significantly elevated in RA patients.
A new deep learning model, MSI-SEER, achieves high accuracy in predicting microsatellite instability-high tumors and their responsiveness to immunotherapy. The model combines tumor MSI status with stroma-to-tumor ratio for highly accurate ICI response prediction.
Researchers at Brown University have identified a brain-based biomarker that can predict mild cognitive impairment development into Alzheimer's disease. They used a custom-built tool to analyze electrical activity from neurons and found distinct differences in beta events between patients who developed the disease and those who did not.
The journal is seeking high-quality submissions that explore the potential of voice and speech analysis in diverse medical applications. Submissions focus on acoustic and voice analysis techniques, voice or vocal phenotyping, and vocal biomarkers in health and medicine.