Articles tagged with Biomarkers
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
Researchers from the University of Tsukuba have found distinct changes in brain activity patterns that can differentiate between Alzheimer's disease and Lewy body dementia. These changes were present before symptoms emerged and could be detected using conventional MRI.
Researchers identified a panel of novel blood biomarkers associated with sudden cardiac arrest, which have the potential to enhance clinical prediction. Additionally, an AI-powered ultrasound technology can accurately identify coronary artery calcium buildup, potentially replacing CT scans as a diagnostic tool.
A new DNA biosensor developed by NIST, Brown University, and the French government-funded research institute CEA-Leti boasts accurate and inexpensive design. The modular device can measure biomarkers in a scalable and high-sensitivity manner.
Biomarkers of bone turnover are essential for diagnosing and treating metabolic musculoskeletal diseases. The International Osteoporosis Foundation, IFCC, and ESCEO have collaborated to publish authoritative reviews on the use and interpretation of these biomarkers.
The team's sensor detects Tumour Necrosis Factor alpha (TNF alpha), a biomarker involved in inflammation, which is linked to various diseases including Alzheimer's. The biosensor is sensitive and can detect low concentrations of TNF alpha, making it a promising tool for early disease detection.
Researchers are launching a clinical trial testing azeliragon, a RAGE inhibitor, with chemoradiotherapy to re-sensitize brain tumours that resist radiotherapy. The trial aims to predict radioresistance in brain metastasis using liquid biopsy.
A Rutgers study found that pregnant people with HIV have higher levels of chronic systemic inflammation and immune activation, leading to poor growth in children. The study aimed to investigate the impact on babies exposed to HIV but not infected.
Swansea University scientists developed a smart patch that can detect proinflammatory biomarkers of neurodegenerative diseases, including Alzheimer's, using microneedle technology. The patches can be self-administered for point-of-care diagnosis and have the potential to change the landscape of early disease detection.
Researchers identified 17 clusters of single cells in peripheral blood, showing upregulation of antigen processing and presentation pathways and downregulation of genes involved in ribosome pathways with age. The study also found senescent T cells resistant to apoptosis, potentially targeted for treatment.
A new study by researchers at Florida Atlantic University explored the effects of resistance training on older adults' cellular level. The study found that resistance training did not significantly affect inflammatory proteins or redox balance markers, but showed a significant reduction in a specific protein ratio. This may support the...
Researchers analyzed data from the VITAL trial and found that vitamin D supplementation increased biomarkers associated with vitamin D metabolism in people, regardless of their weight. However, these increases were significantly smaller in people with elevated BMIs, suggesting a blunted response to supplementation.
Researchers have developed a novel blood-based biomarker, brain-derived tau (BD-tau), that specifically measures non-phosphorylated tau originating from the brain. This breakthrough addresses an unmet need for a blood test that tracks neurodegenerative changes in Alzheimer's disease but not in other dementias.
Researchers at Ningbo University identified biomarkers in short-chain fatty acids that may indicate three common pregnancy complications: pre-eclampsia, gestational diabetes, and intrahepatic cholestasis. The study found elevated levels of isobutyric acid and other short-chain fatty acids in women with these conditions.
A new study has identified distinct patterns of circular RNA expression in human ALS muscle tissue, which display disease-specific gradients and could inform about neuromuscular molecular programs in ALS. The research reveals that specific circRNAs are elevated in ALS muscle biopsies but reduced in spinal cord samples from ALS patients.
Researchers found that impaired olfactory identification and sensitivity functions are associated with frailty, suggesting a potential biomarker for predicting frailty and unhealthy aging. The study's findings suggest screening older adults' ability to smell various scents could be as important as testing hearing and vision.
A new study identifies a protein called GFAP as a possible biomarker for very early stages of Alzheimer's disease, which can be detected ten years before symptoms arise. This breakthrough discovery could lead to earlier diagnosis and treatment of the disease.
Researchers have created a humanized mouse model that can predict the best match for a living organ donor and detect early signs of transplant rejection. The model uses a combination of HLA-G and B regulatory cells to identify patients who may need less immunosuppressive therapy.
Researchers have discovered a new biomarker that predicts the response to CAR-T cell therapy in patients with diffuse large B cell lymphoma. The biomarker identifies differentiated T cells, which can be removed from leukemia products to improve therapy success rates.
Researchers from prominent institutions discuss hepatocellular carcinoma's pathogenesis, genomic heterogeneity, and targeted therapy options. The review aims to characterize HCC's complexities and develop clinically relevant biomarkers for better management.
A new study found that measuring activation of immune-system B cells may be better than measuring either T-cell activation or total number of immune cells in and around a tumor. The findings suggest that six signatures of immune cell gene activation from B cells were associated with higher elimination rates and better survival outcomes.
African patients with chronic hepatitis B face limited access to treatment due to inadequate guidelines. Researchers propose lower treatment thresholds and better adapted guidelines for the African population.
Researchers developed a blood test using circulating microparticle proteins to predict placenta accreta spectrum (PAS) cases as early as the second trimester. The study found five unique proteins that can distinguish PAS patients from control patients, enabling safe predication before delivery.
A team from Brigham and Women's Hospital developed FIND-seq, a method that isolates and analyzes rare astrocytes driving MS inflammation and neurodegeneration. This approach identified signaling pathways controlling the development of pathogenic astrocytes in mice and humans.
Researchers examined associations between APOE ε2 and ε4 alleles, polygenic profiles, and Alzheimer's disease biomarkers. They found links between ε4 alleles with plasma and CSF Aβ42 and CSF tau, as well as differences in associations with tau and Aβ42.
The American Psychiatric Association's January journal issues focus on childhood- and neurodevelopment-related psychiatric disorders. A study published in The American Journal of Psychiatry explores how brain scans predict treatment response to psychotherapy for OCD.
A 16-year longitudinal study found associations between DNA methylation-based measures and neuropsychologically-validated cognitive decline in midlife. The results suggest that these measures may serve as biomarkers for a molecular aging mechanism, potentially identifying individuals at risk of cognitive impairment and dementia.
A new biomarker test, called BD-tau, can detect Alzheimer's disease neurodegeneration in blood samples with high accuracy. The test outperforms current methods and correlates well with CSF biomarkers, providing a valuable tool for improved diagnosis and clinical trial design.
Researchers found that plasma GH levels are a potential biomarker for predicting treatment outcomes in patients with advanced HCC treated with Atezo/Bev. The study showed significantly superior overall survival and non-significant trend in favor of GH-low patients compared to GH-high patients.
A recent study has identified common and unique cellular processes in six neurodegenerative diseases, providing new insights into the underlying causes of these conditions. The research used machine learning analysis to compare RNA markers in whole blood samples from patients with distinct diseases, revealing eight shared themes across...
Researchers developed a new epigenetic biomarker, GrimAge version 2, which leverages two DNAm-based estimators of plasma proteins to predict mortality risk. The study found that GrimAge 2 outperforms existing clinical biomarkers in predicting mortality across multiple racial/ethnic groups and associations with age-related conditions.
Researchers at Michigan Medicine have developed a new biomarker-based strategy to screen for immune checkpoint inhibitor-induced myocarditis, which can cause muscle damage and liver injury. Early detection of these biomarkers can lead to earlier treatment and improved survival rates.
A recent clinical trial found that walnut consumption reduced stress and depression levels in university students. The study also showed improved metabolic biomarkers and overall sleep quality in the longer term. Walnuts contain nutrients like omega-3 fatty acids, antioxidants, and melatonin, which promote healthy brain and gut function.
The study reveals that SETD1A overexpression is associated with poorer disease-free survival in pancreatic cancer patients. Artificially cultured cells showed increased cell growth and migration when SETD1A levels were overexpressed, while knocking down SETD1A expression led to decreased RUVBL1 gene expression.
Researchers investigate how lung cancers evade the immune system to develop more effective immunotherapy treatments. The study aims to uncover a new way lung cancers disguise themselves from the immune system, potentially leading to improved treatment outcomes.
A new study identifies anti-Müllerian hormone (AMH) as a key factor in regulating cholesterol levels during the menopause transition. High AMH levels are associated with lower HDL-C, or good cholesterol, which may indicate cardiovascular risk despite its traditionally protective effects.
Researchers found that lncRNA MVIH is overexpressed in cervical cancer tumors and associated with younger age, lymph node metastasis, tumor invasion depth, and squamous cell type. This suggests its potential as a diagnostic biomarker for cervical cancer.
A study found that antibodies to common antibiotic gentamicin are associated with an increased risk of progression to type 1 diabetes in children already genetically at risk. The researchers also identified an association between the FUT2 gene and the production of these antibodies, which may be compounding risks for type 1 diabetes.
Researchers from the Leibniz Institute for Food Systems Biology have identified three metabolites as potential biomarkers for individual coffee consumption. These biomarkers could help determine the health value of coffee by objectively verifying coffee consumption levels.
A new analytical method has been developed to map climatic and environmental processes at high temporal resolution, revealing an abrupt intensification of seasonality in the tropical ocean during the last period of global climate change. This provides evidence of how global climate changes affect local, seasonal temperature variations.
Researchers found that P2-HNF4α expression is associated with p-STAT3 and c-Myc expression in NAFLD patients, suggesting potential biomarkers for hepatocellular carcinoma (HCC) risk. Additionally, p-STAT3 expression was linked to hypertension, while c-Myc expression was associated with advanced fibrosis.
Researchers found that a one-year increase in retinal age was associated with a 10% higher risk of incident kidney failure over 11 years. Retinal age gap, a non-invasive biomarker based on retinal imaging, may help identify people at elevated risk for kidney failure.
A Mount Sinai study found that certain inflammatory markers can predict which patients are more likely to respond to COVID-19 immunotherapies. The researchers identified a subtype of COVID-19 patients with hyperinflammation who could benefit from pacritinib, an anti-cancer drug.
Scientists have developed an AI method to pinpoint cells indicative of Alzheimer's disease based on DNA packing in mouse brain images, offering a potential early detection tool. This approach combines multi-scale imaging with artificial intelligence to identify biomarkers for aging-related diseases.
Researchers at Klick Applied Sciences have created a machine learning model to predict diabetes onset in patients using just 12 hours of data from continuous glucose monitors. The study showed high accuracy in identifying prediabetes, healthy patients, and those with Type 2 diabetes, offering a potential tool for early disease prevention.
Researchers discovered three essential amino acids - leucine, valine, and tryptophan - as potential metabolic biomarkers for HCC. The study used metabolomics to analyze the differences in tumor and non-tumor tissue metabolomes, revealing striking differences that could aid in diagnosis.
Researchers have identified optimal blood tests to detect Alzheimer's disease at its earliest stages. The study found that phospho-tau217 is a reliable marker for monitoring disease progression and selecting individuals for novel trials.
Scientists used AI-driven PandaOmics platform to analyze gene expression datasets from DNA repair diseases, identifying biomarkers associated with treatment response. The study focused on genes that stratify cancer patients by survival outcomes, providing potential targets for personalized therapies.
A team of scientists has identified three new biomarkers for detecting the consumption of emerging synthetic cannabinoids like OXIZID. These biomarkers will facilitate work by drug enforcement agencies worldwide in monitoring OXIZID abuse, enabling more accurate identification of abusers and potentially preventing overdoses.
Researchers identified formic acid as a sensitive urinary biomarker for early-stage Alzheimer's disease, which could lead to large-scale screening programs. The study found that formic acid levels correlate with cognitive decline and can predict disease stage when combined with blood-based biomarkers.
Researchers found shared genetic factors that contribute to severe COVID-19 risk and blood analyte levels. High triglyceride levels were strongly linked to increased risk of severe disease, supporting the use of lipid-lowering drugs against severe COVID-19.
Researchers at University of Chicago Medical Center have identified biomarker predicting response to combined RT and ICB treatment in mNSCLC. High tumor aneuploidy associated with improved survival when RT is added to ICB, while low aneuploidy shows no survival benefit.
Researchers at ETH Zurich have identified 76 proteins that could serve as biomarkers for Parkinson's disease, with their molecular structures differing between healthy and diseased individuals. The study uses a unique method to analyze protein shapes in cerebrospinal fluid, providing a promising new approach for diagnosis and potential...
A new biomarker has been identified with up to 89% accuracy for corticobasal degeneration, a primary tauopathy. The discovery could accelerate progress toward therapies for this rare brain disease, which is often misdiagnosed due to similar symptoms.
Researchers at VHIO have established a unique collection of metastatic cholangiocarcinoma patient-derived xenografts to help prioritize potential clinical trials and deliver precision patient care. The models have identified mutations in genes such as BRCA2, which could serve as a biomarker for response to PARP inhibitors.
Researchers found that individuals with persistent asthma have higher levels of inflammation and artery plaque, which may increase heart attack or stroke risk. The study also highlights the importance of addressing risk factors for cardiovascular disease in people with persistent asthma.
A new study has identified brain markers of attention-deficit/hyperactivity disorder (ADHD) in children using MRI data. The researchers found changes in almost all regions of the brain, including abnormal connectivity, a thinning of the brain cortex, and significant white matter microstructural changes.
Research findings suggest that skewed X chromosome inactivation may indicate increased risk of developing chronic diseases, including cardiovascular disease and cancer. XCI-skew is a measure of how many cells in a tissue inactivate the same parental X chromosome.
Researchers found reduced levels of D-amino acids in patients with severe COVID-19 and IAV infection, suggesting they could be used as biomarkers. Supplementation with D-alanine improved survival rates and clinical outcomes in mouse models of both infections.
Researchers found that specific immune-related proteins, such as CCL21, FLT3L, and IL-13, can differentiate between neurodegenerative diseases like CTE, AD, PSP, CBD, and AGD. The study's results highlight the importance of the immune system in neurodegenerative diseases and provide novel potential biomarkers for diagnosis.
A new potential biomarker for severe COVID-19 has been identified by researchers at Karolinska Institutet in Sweden. Elevated levels of the cytokine IL-26 are linked to increased inflammation and tissue damage in patients with acute COVID-19.